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Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). **Roles & Responsibilities** **Analytics Delivery & AI Enablement** * Partner with senior leaders to deliver high-impact, AI-enabled analytical solutions within agreed timelines, budgets, and quality standards. * Lead the design, development, and application of advanced analytics, decision science, and AI/ML solutions supporting US Commercialization across brand strategy, omnichannel engagement, and resource allocation. * Own analytical workstreams end-to-end, from problem framing and methodological design to insight generation and business recommendations. * Ensure analytical rigor, scalability, and reusability of solutions while continuously improving team processes and standards. **Stakeholder Partnership & Strategic Support** * Serve as a primary analytics partner to US Commercial stakeholders, Global Analytics, OCx, Marketing, and BIT. * Proactively shape business questions into analytically tractable problems and influence solution direction. * Act as a strategic thought partner by helping stakeholders frame decisions, evaluate scenarios, and understand trade-offs and implications. * Balance and prioritize competing stakeholder demand to ensure alignment with broader commercial and enterprise objectives. * Confidently engage with senior stakeholders, contributing to strategic discussions and decision forums. **Omnichannel & Commercial Insights** * Lead analytics supporting omnichannel strategies across personal and non-personal promotion, including field force, email, web, paid media, social, and third-party platforms. * Define and oversee measurement frameworks for reach, engagement, quality engagement, effectiveness, and ROI. * Drive experimental design, test-and-learn initiatives, and quasi-experimental methodologies to evaluate campaign, content, and channel performance. * Translate analytical findings into actionable recommendations to optimize commercial investments and execution. **Team Leadership & Capability Building** * Manage, mentor, and develop a team of analysts and senior analysts, including performance feedback, coaching, and career development. * Provide technical and analytical guidance to ensure high-quality, consistent delivery across the team. * Foster a culture of collaboration, innovation, accountability, and continuous learning. * Lead workload planning, resourcing, and prioritization to support sustainable delivery and strong team engagement. **Technical Oversight & Governance** * Oversee technical execution across the team, including datasets, dashboards, models, business rules, documentation, and automated pipelines. * Partner with BIT and data engineering teams to ensure reliable, scalable, and timely data pipelines for analytics and reporting. * Ensure analytical outputs are reproducible, well-documented, and compliant with governance, validation, and audit standards. * Support model lifecycle management, including reviews, enhancements, and decommissioning as needed. **Skills & Competencies** * Excellent written and verbal communication skills, with the ability to translate complex analytics into clear, compelling business insights. * Strong stakeholder management and influencing skills, including experience working with senior leaders. * Proven project and people management skills, with the ability to manage multiple priorities in a fast-paced, matrixed environment. * Strong analytical and strategic problem-solving capabilities, synthesizing insights from multiple data sources. * Deep understanding of advanced analytics applied statistics, and AI/ML methodologies. * Leadership mindset with the ability to drive collaboration, accountability, and results. * Passion for AI-led innovation, analytics maturity, and continuous improvement. **Experience & Qualifications** * BA/BS required; advanced degree preferred, particularly in life sciences, computer science, mathematics, statistics, data science, or engineering. * 5–7 years of professional experience, including significant experience in advanced analytics, decision science, and/or AI-driven roles. * Demonstrated experience leading analytics projects and managing or mentoring technical teams in a global enterprise environment. * Proven success partnering with senior stakeholders, articulating value propositions, challenging assumptions, and managing competing demands. * Pharmaceutical, biotech, or healthcare industry experience strongly preferred. * Strong understanding of how data, analytics, and AI can be applied to solve complex commercial business problems. **Technical Skills (Preferred)** * Advanced predictive and statistical analytics using Python and/or R; strong exposure to AI/ML and text analytics (e.g., NLP, clustering, propensity, uplift models, LLM applications). * Data visualization and dashboarding tools (e.g., R Shiny, Dash, or similar platforms). * Experience working in collaborative analytics environments (e.g., Databricks, Git-based workflows, SharePoint). * Strong familiarity with omnichannel, digital marketing, and commercial data sources. _If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career._ **Uniquely Interesting Work, Life-changing Careers** With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. **On-site Protocol** BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. **Supporting People with Disabilities** BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [adastaffingsupport@bms.com](mailto:adastaffingsupport@bms.com). Visit [careers.bms.com/](https://careers.bms.com/eeo-accessibility)[eeo](https://careers.bms.com/eeo-accessibility)[-accessibility](https://careers.bms.com/eeo-accessibility) to access our complete Equal Employment Opportunity statement. **Candidate Rights** BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: [https://careers.bms.com/california-residents/](https://careers.bms.com/california-residents/) **Data Protection** We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at [https://careers.bms.com/fraud-protection](http://careers.bms.com/fraud-protection). Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [TAEnablement@bms.com](mailto:TAEnablement@bms.com). Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1603092 : Associate Manager, US Commercialization Decision Intelligence & KDA Solutions", "summaryDescription" : "Associate Manager, US Commercialization Decision Intelligence & KDA Solutions at Bristol Myers Squibb. Skills: Decision Intelligence, KDA Solutions, AI-enabled analytics, Advanced analytics, Decision science, AI/ML. Partner with senior leaders. 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Our data delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats. About the Role We're looking for a proven Government Sales professional based in the Maryland area to join VulnCheck's fast-growing team. This is a hunter role built for a driven seller who can navigate complex federal buying cycles and thrive in the environment of an early-stage cyber company. You'll play a critical role in growing VulnCheck's presence across Defense and Intelligence agencies, with a strong focus on net-new revenue within target agencies focused on Mission-level outcomes. What You’ll Do Own and grow a named set of agencies, with a focus on net-new revenue and strategic expansion. Drive new business by qualifying, developing, and closing high-value opportunities across DoD, DoE, and IC accounts. Maintain a strategic pipeline with accurate forecasting in Salesforce. Lead the full sales cycle—from prospecting and partner collaboration (channel, reseller, and contract vehicles) through negotiation and close. Collaborate with Sales Engineering, Product, and Marketing to tailor solutions to agency requirements. Carry use cases from existing Defense and Intelligence agencies into net-new agencies highlighting the depth and breadth of VulnCheck data into every day critical operations within the government. You might be a great fit if you: Have 5+ years of sales experience in cybersecurity with a focus on Defense and Intelligence agencies. Have a proven track record of closing complex, high-value deals with multi-stakeholder and dynamic buying cycles. Are experienced navigating federal procurement processes, contract vehicles (e.g., GSA, SEWP, GWACs), and government acquisition timelines. Thrive in fast-paced startup or scale-up environments. Communicate clearly and effectively, both written and verbally. Are comfortable using modern sales tools and CRM systems (e.g., Salesforce). Take a consultative, technically literate approach to solution selling. Qualifications (Required) Experience selling within one or more of the following domains: Attack Surface Management (ASM) Vulnerability Management (VM) Cyber Threat Intelligence (CTI) Existing relationships with government CISOs, agency security leaders, or program managers. Experience selling into federal civilian agencies, DoD, or intelligence community organizations. Familiarity with vulnerability feeds, CVE scoring systems, or exploit intelligence. Experience working in hybrid or distributed teams. Apply Now If you’re excited by the chance to shape the future of vulnerability intelligence and work with a top-tier team tackling mission-critical security problems, we want to hear from you. What We Offer We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles: Benefits and Perks Unlimited PTO 401k plan with company match Comprehensive healthcare coverage Generous paid parental leave Remote friendly environment with flexibility Expense reimbursement for Cell Phone & Internet Ongoing professional development, coaching, and learning resources Opportunities for career advancement within a fast-growing team Why Join Us Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations. VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts. VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive. VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.", "summaryDescription" : "Sales Director, Defense & Intelligence (US) at VulnCheck", "postedDate" : "2026-06-14T20:07:56.530", "createdAt" : "2026-06-14T20:07:56.530", "lastUpdated" : "2026-06-16T03:46:41.189", "ingestTimestamp" : "2026-06-14T20:07:56.530", "mongoId" : "6a2ca3e174d8ee00a09ae5b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c968d74d8ee00a098fe79", "title" : "Director of Commercialization", "company" : "Monster Energy", "industry" : "Food & Beverage", "salary" : { "min" : 95700.0, "max" : 127600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Florida, United States", "locations" : [ "Florida", "United States" ], "timestamp" : "2026-06-15T04:58:43.497", "fingerprint" : "ca86c4475a852564ac549b3c4ff02acba774f572d821d717cc9c7365bb95ae75", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monsterenergy/jobs/4223963009", "externalId" : "4223963009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Florida", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceLevel" : "Director", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Data analytics", "Forecasting", "Sales programs", "Budget planning" ], "hardSkillsList" : [ "Performance score-carding", "Shipment forecasting", "Inventory management" ], "hardSkills" : [ { "name" : "Performance score-carding", "level" : "intermediate" }, { "name" : "Shipment forecasting", "level" : "intermediate" }, { "name" : "Inventory management", "level" : "intermediate" } ], "majorSkills" : "Commercialization, Brand loyalty, Market presence", "majorSkillsList" : [ "Commercialization", "Brand loyalty", "Market presence" ], "coreResponsibilities" : "Own commercial agenda for territory, Activate regional marketing opportunities, Fuel brand loyalty, Drive brand presence, Lead Commercial Managers team, Plan tracking, Track performance, Communicate performance, Drive forecasting, Build sales programs, Run stewardship cadence, Ensure market wins, Collaborate cross-functionally, Build capabilities, Adjust planning and programming, Align to budget goals, Influence Point of Sale design, Implement channel messaging, Lead auto-ship efforts, Drive speed to market, Track Monster initiatives, Communicate Monster initiatives, Ensure execution connectivity, Recognize brand opportunities, Accelerate growth, Leverage strengths, Plan Local Marketing Fund, Execute independent retailer, Plan trimester, Steward Joint Business Plan, Communicate Corporate Direction, Communicate Market Unit plans, Define Look of Success, Define accountabilities, Define timelines, Review initiative performance, Summarize initiative performance, Steward action plans, Support management routines", "teamCollaboration" : "Distributor commercial teams; Distributor strategy teams; Internal cross-functional teams; External cross-functional teams", "projectManagementSkills" : [ "Project Management" ], "domainKnowledge" : "Consumer Packaged Goods; Beverage industry", "domainList" : [ "consumer-packaged-goods", "beverage-industry" ], "domainSpecificKnowledge" : [ "Consumer Packaged Goods", "Beverage industry" ], "toolProficiency" : [ "Excel" ], "communicationSkills" : "Communicate plans; Communicate performance", "outcomesObjectives" : "Accelerate growth; Leverage strengths", "qualificationsBasic" : "Bachelor's Degree in Business, Bachelor's Degree in Marketing, Bachelor's Degree in Finance", "qualificationsPreferred" : "More than 7 years CPG experience, More than 7 years beverage industry experience, More than 7 years Project Management experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the game-changers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: As the Director of Commercialization, you own the commercial agenda for your territory. You’ll uncover and activate regional marketing opportunities that fuel brand loyalty and drive Monster’s presence across the distributor network. You’ll lead a high‑performing team of Commercial Managers focused on planning, tracking, communication, and performance score‑carding. Working closely with distributor commercial and strategy teams, you’ll drive forecasting, build sales programs, and run a disciplined stewardship cadence that ensures Monster shows up strong and wins in the market. The Impact You'll Make: Internal and external cross-functional collaboration and navigation, including capability building and data analytics Planning and programming adjustments aligned to budget goals. Influence the design and development of local Point of Sale materials and implement channel messaging guidelines in plans Forecasting of shipments, innovation and distributor inventory Lead forced / auto-ship efforts to drive speed to market results Track and communicate regional and national Monster initiatives and ensure connectivity between execution goals and strategic priorities Recognize brand / channel opportunities to either accelerate growth or leverage strengths Local Marketing Fund budget planning, independent retailer execution (CMA), trimester planning and Joint Business Plan stewardship Communicates Corporate Direction / Market Unit plans, with clearly defined Look of Success, accountabilities & timelines Responsible for reviewing & summarizing initiative performance reports & stewarding action plans in support of the weekly/monthly management routines Who You Are: Prefer a Bachelor's Degree in the field of -- Business, Marketing, Finance or related field of study Additional Experience Desired: More than 7 years of experience in Consumer Packaged Goods (CPG), beverage industry Additional Experience Desired: More than 7 years of experience in Project Management Computer Skills Desired: Proficiency using Excel, Word and Powerpoint Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location. Pay Range $95,700—$127,600 USD For United States applicants: Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Read our privacy policy here: Privacy Policy", "summaryDescription" : "Director of Commercialization at Monster Energy. Skills: Commercialization, Brand loyalty, Market presence. Own commercial agenda for territory. Activate regional marketing opportunities", "postedDate" : "2026-06-14T03:29:42.197", "createdAt" : "2026-06-14T03:29:42.197", "lastUpdated" : "2026-06-15T04:58:43.497", "ingestTimestamp" : "2026-06-14T03:29:42.197", "mongoId" : "6a2c968d74d8ee00a098fe79", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95700, "salaryAnnualMax" : 127600, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Performance score-carding", "Shipment forecasting", "Inventory management", "Commercialization", "Brand loyalty", "Market presence", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Data analytics", "Forecasting", "Sales programs", "Budget planning", "Project Management", "Consumer Packaged Goods", "Beverage industry", "Excel" ], "skillCount" : 18, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a660474d8ee00a062b872", "title" : "Manager, Customer Solutions, US Fed Financials", "company" : "Amazon Web Services, Inc.", "industry" : "Sales, Advertising, Account Management, Tech, Customer Solutions Mgr, Cloud Computing", "salary" : { "min" : 169000.0, "max" : 228600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T07:15:35.931", "fingerprint" : "f9d93d1816d750dbb2d954b6bb3c425268dff0194a142d09bb296d4816442d70", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443812/apply", "externalId" : "91cf9744-ad6d-4885-9024-1087222fd4c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Cloud computing, Solutions architecture, AWS", "professionalSkills" : [ "Customer-facing", "Technical sales", "Solutions architecture" ], "majorSkills" : "Cloud computing, Solutions architecture, Technical sales", "majorSkillsList" : [ "Cloud computing", "Solutions architecture", "Technical sales" ], "coreResponsibilities" : "Engage with customers to understand their business needs, Design and present technical solutions, Develop and deliver technical presentations, Build and maintain customer relationships, Collaborate with sales teams, Provide technical guidance and support, Identify opportunities for growth, Stay up-to-date with cloud technologies", "teamCollaboration" : "Sales teams; Customer success teams", "domainKnowledge" : "Financial services; Government customers", "domainList" : [ "financial-services", "government-customers" ], "domainSpecificKnowledge" : [ "Financial services", "Government customers" ], "communicationSkills" : "Technical presentations; Customer engagement", "continuousLearning" : "Stay up-to-date with cloud technologies", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5 years of experience in customer-facing roles, 3 years of experience in cloud computing, 3 years of experience in technical sales or solutions architecture", "qualificationsPreferred" : "Experience with AWS, Experience with financial services, Experience with government customers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon Web Services (AWS) we are changing the future of IT. As part of the core AWS account team you, the Customer Solutions Manager, will help our customers to arrive in that future. You will work across AWS teams and apply your technical and program management expertise to some of the most complex and challenging technology problems today. A successful candidate must possess the ability to think critically, be self-motivated, and deal with large amounts of ambiguity. You should bring a cool head, solid technical background, be detail oriented, have excellent problem solving abilities, and be an exemplary communicator. You will leverage this unique skill set to influence your team’s decisions and help drive secure and robust customer solutions. We love people who innovate, use data to make decisions, and can express themselves thoughtfully. We want you to be passionate about delivering a great customer experience, and love contributing to a team goal. This position requires that the candidate selected be a US Citizen. Key job responsibilities As a manager within the Customer Solutions organization, you will have the opportunity to work closely with AWS Federal customers as they work towards solutions that support Federal missions. As a manager, you and your team will need to collaborate with AWS sales, solutions architecture, software development and service teams. You will work with all stakeholders to define needs, identify appropriate resources, set goals, track and report progress, develop schedules, and communicate to all necessary stakeholders. You will also assess risks, anticipate bottlenecks, provide critical issue management, balance trade-offs, and encourage risk-taking to maximize business value. You will evangelize on behalf of AWS and influence customers to allocate the appropriate resources to achieve their goals. Must be willing to pass the Certified Solution Architect, Associate within the first year of employment. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Bachelor's degree in a STEM field, or equivalent industry experience - Demonstrated ability to work across cross-functional teams to deliver complex IT solutions. - The ability to deal with ambiguity and a changing environment, as well as a rapid work pace. - 1+ years of direct experience implementing AWS/cloud services. - 3+ years of direct leadership/supervisory experience - 5+ years of work with U.S. Federal customers experience - 10+ years leading complex IT programs with large-scale impact. - 2+ years in a client facing role within a Federal Program. Preferred Qualifications: - Experience implementing AWS/cloud services - AWS Certification: either AWS Certified Cloud Practitioner or Certified Solution Architect, Associate. - A proven track record of being detail-oriented with a demonstrated ability to self-motivate and follow through on projects. - Ability to work with both technical and non-technical individuals. - PMP or related project management certification, or equivalent experience. - Experience with Agile methodology. - Effective written and oral communication with multiple levels of leadership involving both business and technical sides of the business. - Maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills. - Ability to credibly coordinate between project teams and customers to meet unique customer requirements. - Fluency and comfort with business applications such as Word, Excel and Project. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington - 169,000.00 - 228,600.00 USD annually", "summaryDescription" : "Manager, Customer Solutions, US Fed Financials at Amazon Web Services, Inc.. Skills: Cloud computing, Solutions architecture, Technical sales. Engage with customers to understand their business needs. Design and present technical solutions", "postedDate" : "2026-06-13T18:52:02.772", "createdAt" : "2026-06-13T18:52:02.772", "lastUpdated" : "2026-06-15T07:15:35.931", "ingestTimestamp" : "2026-06-13T18:52:02.772", "mongoId" : "6a2a660474d8ee00a062b872", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443812/apply", "salaryAnnualMin" : 169000, "salaryAnnualMax" : 228600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cloud computing", "Solutions architecture", "Technical sales", "Customer-facing", "Financial services", "Government customers" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c5e74d8ee00a097544b", "title" : "Head of Commercialization", "company" : "Physical Superintelligence", "industry" : "Technical Staff", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Commercialization in the Technology industry in Boston, adjusted for senior experience and company size." }, "location" : "Boston", "locations" : [ "Boston" ], "timestamp" : "2026-06-15T09:38:28.011", "fingerprint" : "7c64f8e1e7486381a8ab787cc8bab9afaaec0ca8eacd3c850f943085a81cd5dd", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/psi/bc4052a8-0899-421e-aaff-d8397f64a6ed/application", "externalId" : "bc4052a8-0899-421e-aaff-d8397f64a6ed", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Simulation, Large-scale engineered systems", "professionalSkills" : [ "GTM strategy", "Deal structure", "Value proposition", "Commercial strategy", "Revenue generation", "Client relationships", "Deal closure" ], "hardSkillsList" : [ "Sales processes" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Sales processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "GTM strategy, Sales, Revenue generation, Deal closure", "majorSkillsList" : [ "GTM strategy", "Sales", "Revenue generation", "Deal closure" ], "coreResponsibilities" : "Design scalable GTM strategy, Implement scalable GTM strategy, Define how PSI goes to market, Build playbook that scales, Land beachhead customers, Close beachhead customers, Develop pitch, Develop value proposition, Develop deal structure, Own full motion from first call, Own motion through signed pilot, Oversee execution on existing deals, Scale deals from pilot, Scale deals to production, Hire forward deployed engineering team, Manage forward deployed engineering team, Set delivery expectations, Scope engagements with technical leadership, Communicate system capabilities, Translate capabilities into outcomes, Turn early pilots into contracts, Hire GTM team, Build GTM team, Represent PSI externally, Represent PSI in customer-facing settings, Represent PSI in investor introductions, Represent PSI in industry forums", "teamCollaboration" : "Coordination with engineering; Coordination with technical leadership", "domainKnowledge" : "Physics; AI; Energy; Compute infrastructure; Industrial verticals; Deep tech; Scientific discovery", "domainList" : [ "physics", "ai", "energy", "compute-infrastructure", "industrial-verticals", "deep-tech", "scientific-discovery" ], "domainSpecificKnowledge" : [ "Physics", "AI", "Energy", "Compute infrastructure", "Industrial verticals", "Deep tech", "Scientific discovery" ], "communicationSkills" : "Technical buyers; Customer outcomes", "outcomesObjectives" : "Scale engagements into platform capability; Turn pilots into large contracts", "qualificationsBasic" : "Eight or more years in GTM, Eight or more years in commercial leadership, Eight or more years in FDE leadership, Proven ability to sell, Closed significant deals, Scientifically and technically literate, FDE leadership experience, Bias to ship", "qualificationsPreferred" : "Network across compute infrastructure, Network across energy generation, Network across advanced manufacturing, Network across materials, Network across adjacent industrial verticals, Direct experience selling in compute infrastructure, Direct experience selling in energy, Direct experience selling in industrial verticals, Prior experience on FDE commercial team, Prior experience at leading deep tech company, Prior experience at enterprise software company", "remoteFriendly" : true, "rawDescription" : "Overview Physical Superintelligence is a stealth startup with roots at Google, Meta, DeepMind, NVIDIA, Harvard, MIT, Johns Hopkins, and the Perimeter Institute building AI systems to discover new physics at scale. We are seeking a GTM leader to define and execute the commercial strategy at the intersection of physics, AI, and energy. Our mission is to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence, safely, verifiably, and for broad public benefit. The last century's golden age of physics gave us transistors, lasers, and nuclear energy. We believe artificial superintelligence will unlock the next one. We're creating the infrastructure to industrialize scientific discovery and usher in this new era. We have one product: new physics, at scale. Role and Responsibilities - Design and implement a scalable GTM strategy. Define how PSI goes to market across its target verticals and build the playbook that scales the function as the company grows. - Land and close beachhead customers across compute infrastructure, energy, and adjacent industrial verticals. Develop the pitch, value proposition, and deal structure for each, and own the full motion from first call through signed pilot. - Oversee execution on existing deals, scaling them from pilot to production. Hire and manage the forward deployed engineering team, set delivery expectations, and scope engagements alongside PSI's technical leadership so each engagement compounds into platform capability rather than bespoke services. - Communicate what our systems can do to technical buyers, both in closing new contracts and expanding live ones. Translate PSI's capabilities into deployable outcomes for industrial customers and turn early pilots into large, long-term contracts. - Hire and build the GTM team that scales the commercial function as PSI grows. - Represent PSI externally in customer-facing settings, investor introductions, and industry forums. What We're Looking For - Ability to design effective GTM strategies in the AI era. You can build a commercial motion suited to how deep tech is bought and sold today, not a playbook copied from a prior era. - Proven ability to sell. You have personally closed significant deals with technical buyers and can speak to the deal structure and the delivery motion, not just the relationship. - Eight or more years in GTM, commercial leadership, or forward deployed engineering leadership in deep tech, energy, or compute infrastructure, including scaling accounts from initial deals into much larger ones. - Scientifically and technically literate. You can discuss physics, AI, simulation, and large-scale engineered systems credibly with technical executives and convey them clearly to customers. You do not need to go deep into the underlying science or write code yourself. - FDE leadership experience. You have hired, managed, and deployed FDE-style teams in close coordination with engineering, turning ambiguous customer problems into shippable, repeatable product across the full arc from pilot to high-velocity expansion. - Bias to ship. Demonstrated ability to operate without bureaucracy in fast-moving environments. You ship; you do not stall. Nice to Have - A network across compute infrastructure, energy generation and storage, advanced manufacturing, materials, or adjacent industrial verticals, with the ability to open doors to senior decision-makers. - Direct experience selling in the fields we operate in: compute infrastructure, energy, and adjacent industrial verticals. - Prior experience on a forward deployed commercial team at a leading deep tech or enterprise software company. How We Work We are engineering-led. Engineers own problems end to end, from spec to ship to on-call. We write contracts before logic, test against real systems instead of mocks, and favor simple designs that ship over clever ones that do not. Our development process is AI-native: engineers work with agentic coding tools daily, write specs that are legible to humans and agents alike, and lead with leverage. Location and Compensation This role is based in Boston. We will consider remote candidates on a case-by-case basis. We offer competitive compensation including salary, benefits, and meaningful early-stage equity. We evaluate on technical breadth, product sense, shipping velocity, and the quality of what you have built. We are an equal opportunity employer and value diverse perspectives in building platforms for AI-driven discovery.", "summaryDescription" : "Head of Commercialization at Physical Superintelligence. Skills: GTM strategy, Sales, Revenue generation, Deal closure. Design scalable GTM strategy. Implement scalable GTM strategy", "createdAt" : "2026-06-14T04:04:27.429", "lastUpdated" : "2026-06-15T09:38:28.011", "ingestTimestamp" : "2026-06-14T04:04:27.429", "mongoId" : "6a2c8c5e74d8ee00a097544b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Sales processes", "Leadership", "GTM strategy", "Sales", "Revenue generation", "Deal closure", "Deal structure", "Value proposition", "Commercial strategy", "Client relationships", "Physics", "AI", "Energy", "Compute infrastructure", "Industrial verticals", "Deep tech", "Scientific discovery" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f08f292fd229c05496a", "title" : "Product Manager, II Commercialization, Google Beam", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Product Manager II at a large tech company in Seattle, adjusted for Google's compensation practices." }, "location" : "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]", "locations" : [ "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]", "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[Los Angeles, CA, USA, [Los Angeles, CA, USA], Los Angeles, null, CA, US]", "[San Francisco, CA, USA, [San Francisco, CA, USA], San Francisco, null, CA, US]" ], "timestamp" : "2026-06-16T11:40:23.272", "fingerprint" : "e92606bdb14a66ab8197e54dfbce50ec4bfc273c08b1aa8f1da0b0c8fad5ee34", "source" : "google", "language" : "en", "externalId" : "104487066783359686", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "experienceLevel" : "Manager", "coreResponsibilities" : "Focus on product strategy, Focus on roadmap, Focus on user stories, Focus on cross-functional collaboration", "summaryDescription" : "Product Manager, II Commercialization, Google Beam at Google. Focus on product strategy. Focus on roadmap", "postedDate" : "2026-06-16T01:48:17.441", "createdAt" : "2026-06-16T01:48:17.441", "lastUpdated" : "2026-06-16T11:40:23.272", "ingestTimestamp" : "2026-06-16T01:48:17.441", "mongoId" : "6a307f08f292fd229c05496a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305117f292fd229cef9627", "title" : "Associate Director, US Commercial Insights", "industry" : "Analyst", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the US market baseline for a Director-level position in the Pharma industry, adjusted for a remote work mode and the specified seniority and experience level." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:36:38.199", "fingerprint" : "e39a0d3b87e448b99ea46092bacd7366059cde0971be41107267d1cc0cbce7ad", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/230ccb81-fbca-4424-8e8b-f70b2c4d36f9/apply", "externalId" : "230ccb81-fbca-4424-8e8b-f70b2c4d36f9", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Data synthesis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Commercial insights strategy, Market research, Actionable recommendations", "majorSkillsList" : [ "Commercial insights strategy", "Market research", "Actionable recommendations" ], "coreResponsibilities" : "Lead development of US commercial insights strategy, Lead execution of US commercial insights strategy, Identify key business questions, Translate questions into research plans, Partner with cross-functional teams, Deliver actionable insights, Shape market development strategies, Shape go-to-market strategies, Design primary market research, Oversee primary market research, Design secondary market research, Oversee secondary market research, Ensure methodological rigor, Ensure alignment with business objectives, Synthesize data from multiple sources, Build unified view of market, Build unified view of customer, Act as strategic advisor, Influence key decisions, Ensure insights are clearly communicated, Translate insights into recommendations, Drive measurable business impact, Manage vendor relationships, Contribute to oversight of budgets, Contribute to oversight of contracts, Contribute to oversight of external partnerships, Foster innovation in insights generation, Explore new methodologies, Explore new tools, Explore new data sources", "teamCollaboration" : "Cross-functional teams; Global and US teams", "domainKnowledge" : "Rare disease; Rheumatology; Pharmaceutical data; Commercial research", "domainList" : [ "rare-disease", "rheumatology", "pharmaceutical-data", "commercial-research" ], "domainSpecificKnowledge" : [ "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Professional development; Learning opportunities; Career growth", "innovationCreativity" : "Innovation in insights generation", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Ability to travel up to 20%", "outcomesObjectives" : "Drive measurable business impact", "qualificationsBasic" : "Bachelor's degree, 7–10 years of experience, Expertise in primary market research, Deep understanding of research methodologies, Proven ability to integrate data, Demonstrated experience influencing senior stakeholders, Analytical, critical thinking, and problem-solving skills, Excellent communication skills", "qualificationsPreferred" : "Advanced degree preferred, Experience within rare disease and/or rheumatology, Experience with product launches, Familiarity with pharmaceutical data sources, Familiarity with vendors, Familiarity with commercial research tools", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Lead the development and execution of the US commercial insights strategy and learning agenda, identifying key business questions and translating them into structured research plans. Partner with cross-functional teams (commercial, medical, analytics, and market access) to deliver actionable insights that shape market development and go-to-market strategies. Design and oversee primary and secondary market research initiatives, ensuring methodological rigor and alignment with business objectives. Synthesize data from multiple sources, including market research, competitive intelligence, analytics, and field insights, to build a unified view of the market and customer landscape. Act as a strategic advisor to senior leadership, influencing key decisions on positioning, strategy, and commercial execution. Ensure insights are clearly communicated and translated into actionable recommendations that drive measurable business impact. Manage vendor relationships and contribute to oversight of budgets, contracts, and external partnerships in collaboration with internal stakeholders. Foster innovation in insights generation by exploring new methodologies, tools, and data sources to enhance decision-making capabilities. Requirements: Bachelor’s degree required; advanced degree preferred. 7–10 years of experience in pharmaceutical, biotechnology, healthcare insights, or related commercial functions. Strong expertise in primary market research, ideally within rare disease and/or rheumatology. Deep understanding of both qualitative and quantitative research methodologies and their application in commercial strategy. Proven ability to integrate complex, disparate data sets into clear strategic narratives and actionable recommendations. Demonstrated experience influencing senior stakeholders in a matrixed, cross-functional environment. Strong analytical, critical thinking, and problem-solving skills with a business-oriented mindset. Excellent communication skills, with the ability to translate insights into compelling recommendations for executive audiences. Experience with product launches in rare disease or specialty care is a plus. Familiarity with pharmaceutical data sources, vendors, and commercial research tools. Ability to travel up to 20%. Strong collaboration skills, with the ability to operate effectively across global and US teams. Benefits: Competitive salary aligned with experience and market benchmarks. Eligibility for short-term and long-term incentive programs. Comprehensive health, dental, and vision insurance coverage. Retirement savings plan and financial wellbeing support. Flexible working arrangements with hybrid/remote options depending on role needs. Opportunities to work in a high-growth, science-driven organization focused on rare diseases. Strong emphasis on professional development, learning, and career growth. Inclusive and collaborative culture with global cross-functional exposure. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Associate Director, US Commercial Insights. Skills: Commercial insights strategy, Market research, Actionable recommendations. Lead development of US commercial insights strategy. Lead execution of US commercial insights strategy", "postedDate" : "2026-06-15T10:26:15.737", "createdAt" : "2026-06-15T10:26:15.737", "lastUpdated" : "2026-06-16T12:36:38.199", "ingestTimestamp" : "2026-06-16T03:21:47.336", "mongoId" : "6a305117f292fd229cef9627", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Qualitative research", "Quantitative research", "Data synthesis", "Critical thinking", "Commercial insights strategy", "Market research", "Actionable recommendations", "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution", "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "skillCount" : 16, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c91fb74d8ee00a098478b", "title" : "US Program Associate", "company" : "GiveDirectly", "salary" : { "min" : 48000.0, "max" : 62000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Associate Program role in the US Non-profit sector, adjusted for Cleveland's cost of living." }, "location" : "USA", "locations" : [ "USA" ], "timestamp" : "2026-06-15T07:06:46.782", "fingerprint" : "59ecb4f000d409b1bbbea22f0c725e3bd5694fc45ec9201c78e9745b5f9b6199", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/givedirectly/jobs/4705093005", "externalId" : "4705093005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cleveland", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.4996574,-81.6936772" } ], "locationText" : "Cleveland, Ohio, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Associate", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Project management", "Customer service", "Case management", "Verification of applications", "Knowledge management", "Process documentation" ], "hardSkillsList" : [ "Metric tracking", "Survey design", "Customer service", "Case management", "Verification of applications" ], "hardSkills" : [ { "name" : "Metric tracking", "level" : "intermediate" }, { "name" : "Survey design", "level" : "intermediate" }, { "name" : "Customer service", "level" : "intermediate" }, { "name" : "Case management", "level" : "intermediate" }, { "name" : "Verification of applications", "level" : "intermediate" } ], "majorSkills" : "Process management, Customer service, Community engagement, Project support", "majorSkillsList" : [ "Process management", "Customer service", "Community engagement", "Project support" ], "coreResponsibilities" : "Support Rx Kids program implementation, Work closely with program partners, Lead customer service, Support recipients via email, Support recipients via phone, Coach applicants through intake, Case manage applicant concerns, Adhere to safeguarding policies, Adhere to protection policies, Meet periodically with recipients, Build trust with recipients, Identify program improvements, Identify process improvements, Serve as trusted resource, Respond to recipient communications, Resolve recipient issues, Escalate serious matters, Support operational duties, Support project management duties, Execute projects with excellence, Lead operational processes, Conduct verification of applications, Support field ops processes, Support payments, Support follow-up surveys, Support program stages, Support knowledge management, Support process documentation, Identify process challenges, Propose solutions", "teamCollaboration" : "Work with program partners; Work with US team members", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Cash transfers; Poverty alleviation; Community outreach", "domainList" : [ "cash-transfers", "poverty-alleviation", "community-outreach" ], "domainSpecificKnowledge" : [ "Cash transfers", "Poverty alleviation", "Community outreach" ], "communicationSkills" : "Recipient communication", "documentationSkills" : "Process documentation", "continuousLearning" : "Develop new skills", "innovationCreativity" : "Identify areas for efficiency", "problemSolvingSkills" : "Resolve recipient issues; Propose solutions", "specialRequirements" : "Commuting 2-4 days/month, Travel within Ohio, Requires car, Requires driver's license, Requires insurance, Travel to New York, Travel elsewhere in US", "qualificationsBasic" : "Support multiple projects simultaneously, Drive process management, Metric tracking, Survey design, Own project components, Customer service, Deliver payments, Identify efficiency areas, Streamline customer service management, Support community engagement, Support coordination, Act as liaison for partners, Act as liaison for community members, Support Managers and Senior Managers, Work in fast-paced environment, Manage multiple workstreams, Communicate in timely manner, Respond to recipient communications, Resolve recipient issues, Escalate serious matters", "qualificationsPreferred" : "Oversee customer service staff, Oversee verification staff, Support other field ops processes, Support payments, Support follow-up surveys, Support execution across program stages, Support whole-team knowledge management, Support process documentation, Refresh protocol and process docs, Identify process challenges, Propose solutions", "workSiteFlexibility" : "Flexible", "rawDescription" : "GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up. Our work has been covered by The Economist, NPR, TED, and The Washington Post. We are one of Time100’s Most Influential Companies of 2026. Our culture is candid, analytical, and non-hierarchical. We support high ownership and real professional growth. Curious about what it's really like to work here? Read our values and hear from the people who do. If they resonate, this could be a great fit! Location: Cleveland, Ohio; For this role, we are looking for candidates based in Cleveland or the greater Cleveland area. About this role The U. S. Program Associate will support implementation for large-scale cash initiatives in the U. S. As a critical member of GiveDirectly’s U. S. programs team, you will support operations, internal coordination, and team processes. You will often be the project point person for community engagement and customer service. You will be expected to support Managers and Senior Managers across multiple projects, and as a result, you must be excited to work in a fast-paced environment and be comfortable managing multiple workstreams at one time. Through this, you will have the opportunity to learn and develop new skills on a fast-growing team. Associates should be able to: Support multiple projects and workstreams simultaneously (multi-task), especially by driving process (e. g. metric tracking, survey design) Over time, own whole components of projects, including but not limited to customer service and/or delivering payments Proactively identify areas for efficiency in projects and team management (e. g. streamlining customer service management) Support community engagement and coordination, including acting as a liaison for partner organizations and community members as appropriate Reports to: US Program Manager Level: Associate Travel Requirement: This role will require commuting within a candidate’s base location 2-4 days per month in order to support in-person activities related to community outreach and program launch, with the potential for other travel within Ohio. This travel would require a car, driver’s license, and insurance. In addition, there will be travel to New York or elsewhere in the US for team events 2-3 times per year. Costs incurred for work-related travel outside of Cleveland will be reimbursed. What you’ll do: This position will primarily support Rx Kids, a universal, unconditional cash allowance program targeted at expectant parents and infants. The program is running in over 40 communities in Michigan and is now expanding to the State of Ohio. This role is expected to work closely with our program partners, including Michigan State University, First Year Cleveland, and local community partners. The program will launch in Cleveland, but as it expands, you may be expected to support additional Rx Kids communities. Key responsibilities are described below (please note that percentage breakdowns are approximate and may vary): Recipient Experience & Customer Service (40%) Lead customer service, including directly supporting recipients via an email-based help desk and through phone support, with the potential to oversee additional customer service staff or contractors as the program scales Coach applicants through the intake process with a focus on applicants who are experiencing significant barriers Case manage applicant/recipient concerns, adhering to GiveDirectly’s safeguarding and protection policies Meet periodically with recipients in person to build trust and to identify problems or areas for program or process improvements Serve as a trusted resource for recipients, responding to their communications in a timely and professional manner Respond to and resolve one-off recipient issues through communication, data entry, and/or escalation of more serious matters to the appropriate individuals Direct Program Support (40%) Support a range of operational and project management duties to ensure GiveDirectly’s U. S. projects are executed with excellence and in line with our values, particularly “recipients first” Lead select operational processes, including conducting verification of applications directly and overseeing other verification staff as the program scalesSupport other field ops processes, including payments and follow-up surveys, and execution across various program stages Support whole-team knowledge management and process documentation, refreshing protocol and process docs regularly Work closely with other members of the U. S. team to identify process challenges and propose solutions (e. g. increasing operational efficiency, improving recipient experience) Become an expert in the various tech systems used to support project execution and excellence Track and report operational and efficiency metrics May be responsible for managing other individuals, such as verification support staff Coordinate with internal and external stakeholders, including with tech partners, research partners, and customer service teams Community Engagement (20%) Cultivate and maintain relationships with implementing partners, key community members, and local service organizations Serve as the local program representative and community liaison for Rx Kids, supporting local partners and educating community members of program policies Build knowledge of the community we are working in, and support with identifying existing local resources or services relevant for recipients Organize and attend events, conferences, and similar programs to sensitize communities on program benefits and requirements Collaborate with communication team members to develop and execute on storytelling plans Participate in program evaluation and scoping strategies to improve program operations and enhance recipient satisfaction What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Fluency in English is required, proficiency in Spanish, Arabic, or Chinese is a plus 2+ years of work or volunteer experience in a role that required project management and people management/coordination Exceptional communication, organizational, and time-management skills Strong customer service instincts, including skilled problem solving, patience, and high emotional intelligence Ability to manage day-to-day operations and propose & implement process improvements Ability to quickly learn and become proficient in new technological platforms Demonstrated ability to work in a highly independent and self-directed manner, while effectively communicating upwardly about gaps and risks Enthusiasm for fast-paced environments, which may lack a pre-defined playbook for success and involve significant “learning by doing” We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to ensure that staff’s total compensation package (base compensation + bonus) falls within the 75th percentile of similar roles, at similar organizations. We also have a no negotiation policy to ensure we are paying staff equitably across roles. The base salary for this role is $77,147 USD / annually. Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A positive and supportive team with opportunities for advancement A demonstrated commitment to helping all staff develop and grow A competitive salary, including bonus A robust health benefits plan (exact details will vary by country) Unlimited PTO (that we encourage staff to take!) Desk allowance and flexible work location Read more about our ongoing diversity, equity, and inclusion efforts here and about our decision to move our central support teams to remote first here. Venue: We conduct interviews over Google Meet with camera on (unless communicated otherwise). Accessibility: Closed captioning is available during all Google Meet interviews, and interviewers will also post interview questions in the chat box throughout the call. If you need assistance accessing either of these features, please let your interviewer know at the start of your interview! We’re committed to running an inclusive and accessible application process for all of our open roles. If there are questions or concerns you have about the accessibility of our hiring process, we warmly invite you to reach out to careers@givedirectly.org. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to \"Know Your Rights\" as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide!", "summaryDescription" : "US Program Associate at GiveDirectly. Skills: Process management, Customer service, Community engagement, Project support. Support Rx Kids program implementation. Work closely with program partners", "postedDate" : "2026-06-13T20:46:11.692", "createdAt" : "2026-06-13T20:46:11.692", "lastUpdated" : "2026-06-15T07:06:46.782", "ingestTimestamp" : "2026-06-13T20:46:11.692", "mongoId" : "6a2c91fb74d8ee00a098478b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 62000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Metric tracking", "Survey design", "Customer service", "Case management", "Verification of applications", "Process management", "Community engagement", "Project support", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Project management", "Knowledge management", "Process documentation", "Cash transfers", "Poverty alleviation", "Community outreach" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307eb6f292fd229c051acd", "title" : "US Bid Manager", "company" : "Harmattan AI", "industry" : "M&S", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior US Bid Manager in the Defense industry, adjusted for company size and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:45:33.718", "fingerprint" : "4ef8afcde874eed80f0d7e02b7d33fa470d561c7b1d0270c01d21ee50cd9d46e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harmattan-ai/1e968d0b-010e-4713-a7ad-0acff6b79d7b/application", "externalId" : "1e968d0b-010e-4713-a7ad-0acff6b79d7b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Project management", "Proposal strategy" ], "hardSkillsList" : [ "RFP analysis", "Proposal writing" ], "softSkillsList" : [ "Adaptability", "Influence" ], "hardSkills" : [ { "name" : "RFP analysis", "level" : "intermediate" }, { "name" : "Proposal writing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" }, { "name" : "Influence" } ], "majorSkills" : "Bid Management, Proposal Management, Federal RFPs", "majorSkillsList" : [ "Bid Management", "Proposal Management", "Federal RFPs" ], "coreResponsibilities" : "Own full lifecycle of bids, Lead RFP analysis, Lead qualification, Lead proposal strategy, Lead submission, Translate complex systems into proposals, Ensure compliance with US procurement frameworks, Ensure compliance with security requirements, Ensure compliance with export control requirements, Coordinate inputs across teams, Drive alignment without direct authority, Operate within structured bid governance, Interface with government stakeholders, Interface with prime contractors, Track performance, Refine positioning, Refine strategy", "teamCollaboration" : "Sales; Product; Engineering; R&D; Legal; Finance; Government stakeholders; Prime contractors", "projectManagementSkills" : [ "Complex Project Management" ], "domainKnowledge" : "US federal markets; US procurement frameworks; FAR/DFARS; Security requirements; Export control requirements; Autonomous defense systems", "domainList" : [ "us-federal-markets", "us-procurement-frameworks", "far-dfars", "security-requirements", "export-control-requirements", "autonomous-defense-systems" ], "domainSpecificKnowledge" : [ "US federal markets", "US procurement frameworks", "FAR/DFARS", "Security requirements", "Export control requirements", "Autonomous defense systems" ], "communicationSkills" : "Written communication; Verbal communication", "specialRequirements" : "100% dedication to mission", "outcomesObjectives" : "Track win/loss; Track conversion rates", "qualificationsBasic" : "5+ years Bid/Proposal Management, Experience responding to DoW RFPs, Experience responding to federal RFPs, Understanding of US procurement frameworks, Understanding of FAR/DFARS, Understanding of compliance requirements, Understanding of security requirements, Excellent written communication, Excellent verbal communication", "qualificationsPreferred" : "Kubernetes experience a plus", "remoteFriendly" : true, "rawDescription" : "ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE At Harmattan AI, we build autonomous defense systems deployed in real-world operations. Winning programs is core to how we scale. We are hiring a Bid Manager (US) to own how we win across the United States, one of the most competitive and strategically critical defense markets. You will lead bids end-to-end across DoW, and institutional clients, working directly with Sales, Product, and Engineering to translate complex systems into clear, compelling proposals. This role requires operating in a high-bar environment: tight timelines, demanding stakeholders, and rigorous compliance standards. RESPONSIBILITIES - Own the full lifecycle of bids across US federal markets - Lead RFP analysis, qualification, proposal strategy, and submission - Translate complex autonomous systems into clear, structured, and persuasive proposals - Ensure full compliance with US procurement frameworks (FAR/DFARS), security, and export control requirements - Coordinate inputs across Sales, Product, R&D, Legal, and Finance — driving alignment without direct authority - Operate within a structured bid governance model (Go/No-Go, review cycles, submission gates) - Interface directly with government stakeholders and prime contractors during bidding phases - Track performance (win/loss, conversion rates) and continuously refine positioning and strategy. CANDIDATE REQUIREMENTS - Proven Experience: 5+ years in Bid / Proposal Management within US federal or defense environments. Proven experience responding to DoW or federal RFPs. - Complex Project Management: Strong understanding of US procurement frameworks (FAR/DFARS, compliance, security requirements). - Adaptability & Mobility: Thrives under pressure in a fast-paced, dynamic environment; embraces a “no-task-is-too-small” mentality. - Communication & Influence: Excellent written and verbal communication, capable of leading diverse principals – from junior members to senior executives. - Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.", "summaryDescription" : "US Bid Manager at Harmattan AI. Skills: Bid Management, Proposal Management, Federal RFPs. 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Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market. Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns. Team The Office Manager is a key role within the organization, responsible for ensuring the efficient and effective operation of the office. This position involves managing a wide range of administrative and operational tasks, maintaining a productive office environment, and supporting both management and staff. The Office Manager also plays a crucial role in contract negotiations with vendors and service providers, ensuring favorable terms that align with the company’s needs and budget. Your Responsibilities Facilities manage room schedules, resolve booking conflicts, and ensure rooms are reset and well-equipped after every use. Maintenance Coordination: Act as the primary point of contact for all building management issues, repairs, and general upkeep, coordinating seamlessly with local NY handymen/property managers and arranging remote dispatch for UT Vendor Relationship you see a lightbulb out or a low coffee supply and handle it immediately. Professional Skills: Vendor & Negotiation Skills: Strong negotiation abilities with a proven track record of securing favorable terms and managing vendor relationships effectively. Organization & Detail: Excellent organizational and multitasking abilities, paired with a high level of attention to detail and sharp problem-solving skills. Communication & Discretion: Exceptional written and verbal communication skills, strong interpersonal skills, and the ability to handle sensitive information with total discretion. Collaboration: A positive, proactive attitude with the ability to work seamlessly both independently and as part of a team. Join our mission, join our team – and grow with us! At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities. As part of our team, you will benefit from Raisin US Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays. Employee Development Budget of $2,200 and 4 full training days per year. Company 401k contribution of 5%. Healthcare coverage contribution, including medical, dental and vision. Commuter benefits and flexible working from home policy. Regular team events and yearly Summer and Winter Party. Salary Range $87,000—$92,000 USD Raisin Applicant Privacy Policy We value diversity and the unique experiences each individual brings. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply. We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.", "summaryDescription" : "Office Manager (US) at Raisin", "postedDate" : "2026-06-15T23:26:32.348", "createdAt" : "2026-06-15T23:26:32.348", "lastUpdated" : "2026-06-16T09:21:07.993", "ingestTimestamp" : "2026-06-15T23:26:32.348", "mongoId" : "6a30602cf292fd229cf87178", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 87000, "salaryAnnualMax" : 92000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e41bf8b1b0376634c3ea", "title" : "Sr. Customer Solutions Manager, US FED NATSEC", "company" : "Amazon Web Services, Inc.", "industry" : "Project/Program/Product Management--Technical, Tech, Customer Solutions Mgr, Cloud Computing", "salary" : { "min" : 138200.0, "max" : 239000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "certifications" : [ "Certified Solution Architect, Associate level" ], "timestamp" : "2026-06-15T02:06:36.830", "fingerprint" : "a995e75901cc3bac0588e4da887445856b7fec4d1faf3389ac958d1d23ed3f67", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078687/apply", "externalId" : "4d365bd2-42ab-4938-87a0-d17dc383bf72", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS", "professionalSkills" : [ "Program management", "Cloud adoption", "Value realization", "Organizational readiness", "Cloud fluency", "Cloud skills", "Operating models", "Business value", "Technical risks", "Cloud transformation", "Data analytics", "Digital transformation", "Business agility", "Migration strategies" ], "hardSkillsList" : [ "Program completion", "Business case development" ], "softSkillsList" : [ "Customer advocacy", "Problem solver", "Thought leadership" ], "hardSkills" : [ { "name" : "Program completion", "level" : "intermediate" }, { "name" : "Business case development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer advocacy" }, { "name" : "Problem solver" }, { "name" : "Thought leadership" } ], "majorSkills" : "Customer Success, Cloud Transformation, Program Management, National Security", "majorSkillsList" : [ "Customer Success", "Cloud Transformation", "Program Management", "National Security" ], "coreResponsibilities" : "Identify and accelerate customer value realization, Help customers achieve organizational cloud readiness, Establish and mature operating models, Drive scale and long-term success, Establish ownership of specific programs, Maintain customer footprint on AWS, Operate independently, Address key gaps, Engage with customers, Engage with partners, Engage with internal AWS teams, Solve complex technology problems, Define opportunities, Understand business risks, Understand technical risks, Influence technical stakeholders, Partner with cross-functional teams, Drive detailed discussions, Deliver cloud adoption strategies, Deliver migration strategies, Create business projects, Manage technology projects, Deliver technology projects, Navigate risks or roadblocks, Execute in ambiguous environments, Serve as customer's cloud journey coach, Evangelize customer needs to AWS leadership, Evangelize customer needs to product teams, Evangelize customer needs to engineering teams, Share best practice learnings, Create reusable assets", "teamCollaboration" : "Cross-functional teams; Internal AWS teams; Pre/post sales teams", "projectManagementSkills" : [ "Program management", "Agile" ], "domainKnowledge" : "National Security; Cloud adoption; Cloud transformation; Cloud services; Cloud readiness; Cloud fluency; Cloud skills; Cloud lifecycle; Cloud migration; Cloud architecture", "domainList" : [ "national-security", "cloud-adoption", "cloud-transformation", "cloud-services", "cloud-readiness", "cloud-fluency", "cloud-skills", "cloud-lifecycle", "cloud-migration", "cloud-architecture" ], "domainSpecificKnowledge" : [ "National Security", "Cloud adoption", "Cloud transformation", "Cloud services", "Cloud readiness", "Cloud fluency", "Cloud skills", "Cloud lifecycle", "Cloud migration", "Cloud architecture" ], "communicationSkills" : "Executive engagement", "continuousLearning" : "Skills guilds; Training partners; Learning experiences", "innovationCreativity" : "Pave the way for innovation", "problemSolvingSkills" : "Problem solver", "specialRequirements" : "US Citizen, Active TS/SCI with polygraph, 10%-15% travel", "outcomesObjectives" : "Realize sustained business value; Accelerate cloud transformation journey", "qualificationsBasic" : "5+ years technical/engineering programs, 3+ years customer-facing work, Bachelor's degree, Experience leading transformation teams, Active TS/SCI with Polygraph", "qualificationsPreferred" : "PMP certification, SCRUM/Agile certification, SAFe certification, Certified Solution Architect, Associate level within 6 months", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about shaping the future of the National Security by paving the way for innovation through customer advocacy? Do you have the program management and technical acumen to earn trust with executives and project team members alike? Are you a problem solver motivated to foster cloud adoption in alignment with your customer’s mission? Amazon Web Services (AWS) is seeking a Senior Customer Solutions Manager (CSM) to come join our Worldwide Public Sector National Security (NatSec) team to help customers realize sustained business value by accelerating their cloud transformation journey. Seeking a candidate who is willing to pass the Certified Solution Architect, Associate level within the 6 months of employment. This position may require 10%- 15% travel dependent on a case by case basis. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. Key job responsibilities Working with organizations in all stages of their cloud adoption, Customer Solutions Managers (CSMs) are advocates guiding customers through the value realization, enablement, and governance of their cloud transformation journey. Value Realization: You identify and accelerate the customer’s realization of value throughout the cloud lifecycle through the adoption of AWS services, AWS partner solutions, AWS best practices, and other. Enablement: You help customers achieve organizational cloud readiness, cloud fluency and cloud skills through skills guilds, experience-based accelerators, training partners, and other. Governance: You establish and mature operating models / structures to drive scale and long-term success through the application of AWS frameworks and mechanisms. Ownership: You establish ownership of specific programs who have already adopted AWS as a cloud service provider and expect a high level of support from AWS to maintain their footprint on AWS. Divide and Conquer: In this role you will be expected to operate independently from others on your team in order to keep up with varying demands within your area of responsibility. Diversification: In addition to your specific area of responsibility, addressing key gaps which could benefit both internally and externally with customers will be key. A day in the life Empowered by an inclusive environment, work/life harmony, and career advancement, you are a member of a diverse, global community of Customer Solutions Managers (CSM) who deliver cloud solutions that influence business and IT transformation for our customers. Day-to-day, you will balance your time between directly engaging with customers, partners, internal AWS teams and services to help our customers on their journey in the AWS Cloud. You will work across AWS to apply your technical, business, and program management expertise to solve some of the most complex and challenging technology problems for our customers. Working backwards from the customer, you will define opportunities and understand associated business and technical risks that are strategic to the customer’s cloud journey including large-scale migrations, data analytics, digital transformation and innovation, business agility and other. You will influence technical stakeholders, partner with cross-functional teams and pre/post sales to drive detailed discussions seeking alignment to deliver cloud adoption and migration strategies with, and on behalf of your customer. You create, manage, and deliver business and technology projects navigating risks or roadblocks and can execute in an ambiguous and changing environment. You will serve as the customer’s cloud journey coach and be the voice of the customer within AWS, evangelizing customer needs to AWS leadership, product, and engineering teams. To support the evolution of the AWS customer experience and/or Customer Solutions Manager discipline, you are expected to share best practice learnings into a reusable asset for internal re-use. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion experience - 3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience - Bachelor's degree in science, technology, engineering, math, business or equivalent - Experience leading technical and non-technical transformation project teams with a proven ability to work across broad functional teams - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - PMP certification, or SCRUM/Agile, SAFe certification - Experience implementing cloud services including migrations and modernization projects or similar Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Customer Solutions Manager, US FED NATSEC at Amazon Web Services, Inc.. Skills: Customer Success, Cloud Transformation, Program Management, National Security. Identify and accelerate customer value realization. Help customers achieve organizational cloud readiness", "postedDate" : "2026-06-13T16:00:41.803", "createdAt" : "2026-06-13T16:00:41.803", "lastUpdated" : "2026-06-15T02:06:36.830", "ingestTimestamp" : "2026-06-13T16:00:41.803", "mongoId" : "68c2e41bf8b1b0376634c3ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078687/apply", "salaryAnnualMin" : 138200, "salaryAnnualMax" : 239000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Program completion", "Business case development", "Customer advocacy", "Problem solver", "Thought leadership", "Customer Success", "Cloud Transformation", "Program Management", "National Security", "Program management", "Cloud adoption", "Value realization", "Organizational readiness", "Cloud fluency", "Cloud skills", "Operating models", "Business value", "Technical risks", "Cloud transformation", "Data analytics", "Digital transformation", "Business agility", "Migration strategies", "Agile", "Cloud services", "Cloud readiness", "Cloud lifecycle", "Cloud migration", "Cloud architecture", "Certified Solution Architect, Associate level" ], "skillCount" : 30, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "National Security" }, { "id" : "693c2b8570f0b99d5843fa1c", "title" : "Project Manager II, Product Commercialization", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, worldwide grocery stores", "salary" : { "min" : 66800.0, "max" : 142800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T04:20:20.006", "fingerprint" : "1434dbaa0bef1dd9db6961ecafc1cbb5eb7e9f315b9a41640dca7a29833f8f0f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3140046/apply", "externalId" : "026cdab9-569c-43a9-bbae-871feb864911", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Business planning", "Process optimization", "Efficiency improvement", "Label compliance", "Label development", "Vendor communication" ], "hardSkillsList" : [ "Capacity planning", "Resource planning", "Proofing", "Accuracy checking" ], "hardSkills" : [ { "name" : "Capacity planning", "level" : "intermediate" }, { "name" : "Resource planning", "level" : "intermediate" }, { "name" : "Proofing", "level" : "intermediate" }, { "name" : "Accuracy checking", "level" : "intermediate" } ], "majorSkills" : "Product commercialization, Project management, Cross-functional execution", "majorSkillsList" : [ "Product commercialization", "Project management", "Cross-functional execution" ], "coreResponsibilities" : "Provide PM support, Engage functional representatives, Understand business requirements, Contribute building roadmaps, Contribute maintaining roadmaps, Track progress, Manage progress, Identify major issues, Escalate major issues, Identify major risks, Escalate major risks, Engage team members, Engage leadership, Ensure understanding project expectations, Ensure customer focused decision-making, Partner outside organizations, Partner stakeholder teams, Ensure alignment, Ensure collaboration, Share lessons learned, Engage business groups, Identify gaps, Suggest process improvements, Suggest communication improvements, Ensure consistency brand standards, Ensure adherence brand standards, Ensure consistency processes, Ensure adherence processes, Ensure consistency policies, Ensure adherence policies, Coordinate label compliance reviews, Create vendor communication, Facilitate label review process, Facilitate label approval process, Proof package design revisions, Check accuracy package design revisions, Maintain business partner meetings, Facilitate discussion meetings", "teamCollaboration" : "Cross-functional teams; Functional teams; Outside organizations; Stakeholder teams; Business groups", "projectManagementSkills" : [ "Roadmap planning", "Timeline management", "Risk management", "Issue management" ], "domainKnowledge" : "Grocery stores; Private brands; Product launch; Product brand; Product attributes; Product information; Sourcing; Product development; Package design; Manufacturers; Logistics; Supply chain; Product quality; Global food safety; Brand standards; Quality standards; Organic certification; Kosher certification; Fair-Trade USA; Whole Foods Market; Amazon brands; Food products", "domainList" : [ "grocery-stores", "private-brands", "product-launch", "product-brand", "product-attributes", "product-information", "sourcing", "product-development", "package-design", "manufacturers", "logistics", "supply-chain", "product-quality", "global-food-safety", "brand-standards", "quality-standards", "organic-certification", "kosher-certification", "fair-trade-usa", "whole-foods-market", "amazon-brands", "food-products" ], "domainSpecificKnowledge" : [ "Grocery stores", "Private brands", "Product launch", "Product brand", "Product attributes", "Product information", "Sourcing", "Product development", "Package design", "Manufacturers", "Logistics", "Supply chain", "Product quality", "Global food safety", "Brand standards", "Quality standards", "Organic certification", "Kosher certification", "Fair-Trade USA", "Whole Foods Market", "Amazon brands", "Food products" ], "toolProficiency" : [ "Workfront" ], "communicationSkills" : "Vendor communication; Business partner meetings", "documentationSkills" : "Documentation expectations", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "100% in downtown HQ, Travel up to 10%", "qualificationsBasic" : "4+ years program management, 4+ years project management, Experience cross functionally, Experience using data, Experience driving improvements", "qualificationsPreferred" : "Understand project management methodologies, Apply project management principles, Plan projects, Estimate projects, Organize projects, Monitor projects, Keep projects on track, Working knowledge project management software, Respond to questions, Present information, Elevate quality of work, Maintain positive working relationships, Apply basic research skills, Apply information gathering skills, Apply analytical skills, Collect required documentation, Verify conformance internal standards, Verify conformance regulation, Assess accuracy detailed information, Handle detailed problems, Handle structured problems, Identify specific roadblocks, Use existing procedures, Resolve standard problems, Understand company strategy, Understand business unit strategy, Understand project objectives, Identify project goal alignment, Identify project goal misalignment, Suggest solutions business goals, Learn basics Whole Foods Market product assortment, Learn supplier base, Learn key operational detail", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Product Commercialization is looking for its newest Project Manager (Product Commercialization Lead). This dynamic team is the pulse critical to driving the cross-functional execution of the Worldwide Grocery Stores Private Brands product launch process (product brand, product attributes / communication hierarchy, product information accuracy and more come together for finalization and activation within this team) as well as any product changes to current items. The PC Team also facilitates development, implementation and improvement of various work-streams and conducts resource/ capacity planning to inform all functional teams supporting the Worldwide Grocery Private Brands program at Amazon. With key functions in both business planning and execution, the team seeks to optimize business processes and efficiencies cross-functionally to serve a number of teams supporting program, including: Sourcing, Product Development, Package Design, Manufacturers, Logistics/Supply Chain, Product Quality and Global Food Safety. **This position is based in Austin and will require 100% of your time in our downtown HQ (550 Bowie St). Key job responsibilities • Provide PM support for assigned areas of business • Engage with functional representatives to understand business requirements, including ‘definition of done’, documentation expectations, resource limitations and risks. • Contribute to building and maintaining project roadmaps, including overall timelines and statuses. • Track and manage progress, identifying and escalating major issues / risks to management • Engage with Team Members and leadership to ensure a mutual and shared understanding of project expectations • Ensure customer focused decision-making • Partner with outside organizations and various stakeholder teams to ensure alignment, collaboration, and wide-spread sharing of lessons learned • Engage with other business groups to identify gaps and suggest process and communication improvements • Ensure consistency and adherence to applicable brand standards, processes, and policies • Coordinate label compliance reviews, including accuracy, consistency and conformance to Quality Standards and conventions/best practices in all claims, copy, instructions, and other information • Create clear vendor communication, involving launch requirements and label development and review processes • Facilitate the label review and approval process by outside organizations, including vendors, organic certification agencies, kosher certification bodies, and organizations involved in the Sourced for Good program, such as Fair-Trade USA, etc. • Extensive proofing and accuracy-checking against Technical Specifications, noting package design revisions • Maintain weekly business partner meetings, including agenda and discussion facilitation • Travel up to 10% About the team Worldwide Grocery Stores (WWGS) is a global retail organization dedicated to revolutionizing the grocery shopping experience through enhanced efficiency, quality, and affordability. At its core, WWGS Private Brands (PB) serves as a crucial strategic division that develops, sources, and manages our Whole Foods Market (WFM) and Amazon-branded proprietary food products across all geographic regions. This team also leads the Whole Body assortment, which includes non-food and health/wellness products for WFM. Operating as a unified force, Private Brands supports both North American and International operations by leveraging cross-functional expertise in product development, sourcing, sensory, commercialization and quality assurance to bring our products to market end-to-end across all WFM and Amazon channels. Through the integration of Whole Foods Market (WFM) and Amazon-branded products, Private Brands enables WWGS to deliver high-quality, innovative products and brands while maintaining operational excellence across diverse global markets. This collaborative structure allows WWGS to rapidly scale its food portfolio while maintaining consistent quality standards and efficient processes throughout its worldwide operations. This team manages the Amazon Saver, Amazon Grocery, byAmazon, Aplenty, Amazon Kitchen, 365 by WFM (including our organic products), and Whole Foods Market brands. Basic Qualifications: - 4+ years of program or project management experience - Experience working cross functionally with tech and non-tech teams - Experience using data and metrics to determine and drive improvements Preferred Qualifications: - Understands leading project management methodologies and is comfortable applying project management principles to varying project situations - Ability to plan, estimate, organize, and monitor projects - Capable of keeping projects on track, in accordance with multiple stakeholder deadlines - Working knowledge of project management software(s) such as Workfront is a plus - Excellent communication skills, including written, verbal, and active listening - With guidance, responds to questions and presents information to internal and external stakeholders with an appropriate level of detail, given the audience/recipient, in both 1:1 and group settings - Continuously seeks to elevate the quality of own work and that of the collective team - Maintains positive working relationships with supported functional stakeholders - Applies basic research, information gathering, and analytical skills to: 1) Select appropriate alternatives from proposed options and/or preferences communicated, 2) Collect required documentation and verify conformance with internal standards and regulation, 3) Assess accuracy of detailed information against an array of policies and procedures - Handles detailed, structured problems, narrowing and identifying specific roadblocks to task completion - Uses existing procedures to resolve standard problems - Understands the strategy, goals, and objectives of the company, business unit, and/or project - Identifies alignment / misalignment of project goals with larger organizational strategy, goals, and objectives, and suggests solutions to support key business goals as needed/helpful - Comfortable learning basics of the Whole Foods Market product assortment, supplier base, and key operational detail Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Project Manager II, Product Commercialization at Amazon.com Services LLC. Skills: Product commercialization, Project management, Cross-functional execution. Provide PM support. Engage functional representatives", "postedDate" : "2026-06-13T03:32:35.435", "createdAt" : "2026-06-13T03:32:35.435", "lastUpdated" : "2026-06-15T04:20:20.006", "ingestTimestamp" : "2026-06-13T03:32:35.435", "mongoId" : "693c2b8570f0b99d5843fa1c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3140046/apply", "salaryAnnualMin" : 66800, "salaryAnnualMax" : 142800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Capacity planning", "Resource planning", "Proofing", "Accuracy checking", "Product commercialization", "Project management", "Cross-functional execution", "Business planning", "Process optimization", "Efficiency improvement", "Label compliance", "Label development", "Vendor communication", "Roadmap planning", "Timeline management", "Risk management", "Issue management", "Grocery stores", "Private brands", "Product launch", "Product brand", "Product attributes", "Product information", "Sourcing", "Product development", "Package design", "Manufacturers", "Logistics", "Supply chain", "Product quality", "Global food safety", "Brand standards", "Quality standards", "Organic certification", "Kosher certification", "Fair-Trade USA", "Whole Foods Market", "Amazon brands", "Food products", "Workfront" ], "skillCount" : 40, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3085c4f292fd229c07b704", "title" : "Manager, Business Intelligence", "company" : "Medely", "industry" : "Finance & Accounting Department", "salary" : { "min" : 136000.0, "max" : 152000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T11:46:24.542", "fingerprint" : "4d6dc4cc7806fd7a7099d1e26757d5d34cdc3a3c169ceb9e4b4222b2090ce1d7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/medely/3eaa08f0-fc15-4cf5-9e02-7ab85d123710/application", "externalId" : "3eaa08f0-fc15-4cf5-9e02-7ab85d123710", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, BI tools, Data warehousing, ETL, Data modeling, Cloud platforms, AWS, GCP, Azure, Data visualization, A/B testing, Statistical analysis, Machine learning", "professionalSkills" : [ "Data analysis", "Business intelligence", "Data visualization", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "Data visualization", "SQL", "Python", "R", "ETL", "Data modeling", "Statistical analysis", "Machine learning" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "R", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Business intelligence, SQL, BI tools", "majorSkillsList" : [ "Data analytics", "Business intelligence", "SQL", "BI tools" ], "coreResponsibilities" : "Develop and maintain BI dashboards and reports, Analyze data to identify trends and insights, Collaborate with stakeholders to understand data needs, Develop and implement data models, Design and build ETL processes, Ensure data quality and integrity, Support data-driven decision-making, Perform ad-hoc data analysis", "teamCollaboration" : "Stakeholder collaboration", "toolProficiency" : [ "BI tools" ], "problemSolvingSkills" : "Problem solving; Data analysis", "qualificationsBasic" : "5+ years of experience in data analytics or business intelligence, Proficiency in SQL, Experience with BI tools", "qualificationsPreferred" : "Experience with Python or R, Experience with data warehousing concepts, Experience with cloud platforms (AWS, GCP, Azure), Experience with data modeling, Experience with ETL processes, Experience with data visualization best practices, Experience with A/B testing, Experience with statistical analysis, Experience with machine learning concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "The Company Medely is a high-growth series-C technology start-up reimagining the future of healthcare work by providing an on-demand marketplace and workforce management tools. With the support of top-tier investors, Medely has quickly become a go-to platform for healthcare professionals to instantly access high-paying jobs with the freedom and flexibility to work when and where they want. As a fully remote team of sharp, collaborative, and entrepreneurial individuals, we are dedicated to redefining the way healthcare workers and facilities work together to provide for patients. We are looking for passionate and skilled professionals to join our team and help us take on tough challenges in this fast-expanding healthcare industry segment. Join us in our mission to transform the healthcare staffing industry and improve patient lives! The Opportunity Full-Time · Reports to VP, Financial Operations Medely is building the infrastructure layer for healthcare staffing - a marketplace that connects thousands of healthcare professionals with facilities that need them, in real time. It's a complex, data-rich business, and the decisions that determine how we grow, where we invest, and how we serve our customers are increasingly being driven by the quality of our analytics. That's where you come in. We're looking for a Manager of Business Intelligence who is equal parts analytical rigor and business instinct - someone who doesn't just build dashboards, but builds understanding. You'll lead a BI Analyst, own the execution of our BI roadmap, and work directly with the VP of Financial Operations and cross-functional leadership to turn data into decisions that move the business. If you're the kind of person who finds satisfaction in making a complex system legible - who gets energized by ambiguous problems, clean data models, and stakeholders who actually use what you build - this role was designed for you. What You'll Own - Be hands-on with the work. You won't just delegate. You'll write SQL, build dashboards, run analytical deep-dives, and produce models that generate real product and business insights. You're still a craftsperson. - Drive self-service analytics across the org. A big part of this role is making data accessible to people who aren't analysts. You'll train and enable business partners to navigate Delphina (our BI platform), set the governance standards that keep data trustworthy, and build the infrastructure so teams can answer their own questions -without creating chaos. - Translate complexity into clarity. You'll partner with operational and functional stakeholders to monitor business health, surface trends, and bring structure to ambiguous problems. The best outcome isn't a beautiful chart - it's a decision that wouldn't have been possible without you. - Build for scale, not just today. You'll contribute to a BI roadmap that balances short-term execution with long-term architecture - including alerting, anomaly detection, and applying AI/ML techniques to accelerate insight generation where it creates real leverage. - Work directly with leadership. Reporting into the VP of Financial Operations means high visibility and real exposure. Your work will directly inform how Medely's leadership team thinks about growth, operations, and strategy. Who You Are: - A minimum of 5 years in analytics, business intelligence, data science, or a related field - with at least one year managing a direct report. - Advanced SQL is non-negotiable. You write clean, optimized queries and you understand the systems underneath them. - Strong proficiency in a BI tool (Tableau, Power BI, or similar) and a real understanding of what makes a dashboard useful vs. just pretty. - Python or another scripting language for data manipulation and workflow automation. - Experience structuring ambiguous problems and communicating findings to both technical and non-technical audiences - Comfort with experimentation - designing tests, reading results, and explaining what they mean. - Familiarity with AI/ML concepts and an appetite to apply them to real analytics problems. - A bias toward ownership. You don't wait to be told what matters - you figure it out and move. What Will Set You Apart - Startup or marketplace experience. - Hands-on experience applying LLM-based or ML solutions to analytics workflows. - Interest in healthcare technology and the infrastructure that makes it work. Why This Role, Why Now Medely is at a stage where the analytical infrastructure we build in the next 12-18 months will shape how we scale for years. This role has real scope - a platform to own, a leadership team that wants to be data-informed, and a business complex enough to keep you intellectually engaged for a long time. You'll have ownership. You'll have visibility. And you'll do work that actually matters. Why Medely: Benefits & Perks - Competitive Compensation: Based on experience and performance - Long-term Incentives: 401k - Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance - Flexibility: We believe that work/life balance is important, so we offer flexible and unlimited PTO - Paid parental leave - Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry nationally! - Ownership: Drive meaningful business impact on a team you’ll help build and define! - Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office! We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities. Work location is flexible if approved by Medely. Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate. We are an E-Verify company.", "summaryDescription" : "Manager, Business Intelligence at Medely. Skills: Data analytics, Business intelligence, SQL, BI tools. Develop and maintain BI dashboards and reports. Analyze data to identify trends and insights", "createdAt" : "2026-06-16T01:59:52.495", "lastUpdated" : "2026-06-16T11:46:24.542", "ingestTimestamp" : "2026-06-16T01:59:52.495", "mongoId" : "6a3085c4f292fd229c07b704", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 136000, "salaryAnnualMax" : 152000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Business intelligence", "Data visualization", "SQL", "Python", "R", "ETL", "Data modeling", "Statistical analysis", "Machine learning", "Data analytics", "BI tools", "Problem solving" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c7c6a74d8ee00a094d5a6", "title" : "Associate Solutions Engineer", "company" : "Box", "industry" : "SaaS", "salary" : { "min" : 81000.0, "max" : 101500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "certifications" : [ "AWS Certified Solutions Architect" ], "timestamp" : "2026-06-16T06:22:57.715", "fingerprint" : "d121d3b07db7ed3a829b7c99227da17135e5cb7cd334dc586794a24e4c032232", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/boxinc/jobs/8001288", "externalId" : "8001288", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, JavaScript, SQL, AWS, Docker, Kubernetes, CI/CD, APIs", "professionalSkills" : [ "System design", "Technical troubleshooting", "Customer support" ], "hardSkillsList" : [ "Cloud computing", "Containerization", "Automation" ], "hardSkills" : [ { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Cloud infrastructure, DevOps, Customer solutions", "majorSkillsList" : [ "Cloud infrastructure", "DevOps", "Customer solutions" ], "coreResponsibilities" : "Design and implement cloud solutions, Provide technical expertise, Troubleshoot customer issues, Develop technical documentation, Collaborate with sales and product teams, Present technical solutions, Support customer onboarding, Automate processes", "teamCollaboration" : "Sales teams; Product teams; Engineering teams; Customer success", "domainKnowledge" : "SaaS solutions; Cloud platforms; API integrations", "domainList" : [ "saas-solutions", "cloud-platforms", "api-integrations" ], "domainSpecificKnowledge" : [ "SaaS solutions", "Cloud platforms", "API integrations" ], "toolProficiency" : [ "Salesforce", "JIRA", "Confluence" ], "communicationSkills" : "Technical presentations; Customer communication", "documentationSkills" : "Technical writing; Architecture diagrams", "continuousLearning" : "Industry trends; New technologies", "problemSolvingSkills" : "Problem resolution; Root cause analysis", "outcomesObjectives" : "Drive customer adoption; Ensure solution success; Improve customer satisfaction", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As an Associate Solutions Engineer (ASE), you will partner with our global Solutions Engineering (SE) team to craft customer-centric solutions for business and IT leaders in every industry. To best prepare you for this full-time role, Box is inviting you to join our 6-month intensive training program, the ASE Academy, which is designed to teach you the tools and tactics that serve as the foundation to be a successful Solutions Engineer at Box. Throughout the program, you will receive comprehensive training focused on both technical and professional skill development, and you will have opportunities to practice these skills while supporting the needs of the business. By the end of the academy, you will have demonstrated proficiency with the Box product, and comfortability presenting the value of our solution for specific business challenges. Upon completion of the Academy, you will continue your development as an Associate Solutions Engineer, leveraging your product expertise to help our customers — and our internal employees — better understand the value of the Box platform. WHAT YOU'LL DO Collaborate with colleagues using a modern suite of SaaS business applications (Box, Salesforce, Slack, Zoom, etc.) Develop your professional and technical skills by completing the ASE Academy and continuing into a full-time ASE position Become an expert on the Box platform (web, mobile, desktop, and APIs) Get hands-on experience building and utilizing Box AI Agents Partner with SEs on strategic opportunities to ensure our technology is a good fit for our customers Utilize your active listening skills to understand and uncover customer needs and business problems to effectively communicate how Box can solve them Deliver product demonstrations to our customers and our internal teams WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Associate or Bachelor’s Degree - open to Spring 2026 graduates 1+ year cumulative experience in a customer-facing or service-oriented role Demonstrated interest in learning new technology and leveraging it to solve challenges Ambition and desire to pursue a career in technical sales A team player who thrives on collaboration Highly motivated, driven and self-starting individual with a positive attitude Engaging communicator who is comfortable delivering presentations Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided here. Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided here. For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here. #Li-Hybrid Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks. In accordance with OFCCP compliance, here is the Pay Transparency Provision. United States Pay Range $81,000—$101,500 USD", "summaryDescription" : "Associate Solutions Engineer at Box. Skills: Cloud infrastructure, DevOps, Customer solutions. Design and implement cloud solutions. Provide technical expertise", "postedDate" : "2026-06-14T18:36:24.936", "createdAt" : "2026-06-14T18:36:24.936", "lastUpdated" : "2026-06-16T06:22:57.715", "ingestTimestamp" : "2026-06-14T18:36:24.936", "mongoId" : "6a2c7c6a74d8ee00a094d5a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 101500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Cloud computing", "Containerization", "Automation", "Cloud infrastructure", "DevOps", "Customer solutions", "System design", "Technical troubleshooting", "Customer support", "SaaS solutions", "Cloud platforms", "API integrations", "AWS Certified Solutions Architect", "Salesforce", "JIRA", "Confluence" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca42e74d8ee00a09b08bc", "title" : "Senior Director, Strategic Solutions - Intelligence Community", "company" : "C3 AI", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Tysons, Virginia, United States", "locations" : [ "Tysons", "Virginia", "United States" ], "timestamp" : "2026-06-15T09:54:51.861", "fingerprint" : "a9940adcca0181294a920f42282d2f9441c80948604fec91bdaa3ecef0590b6e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://c3.ai/job-description/8589114002?gh_jid=8589114002", "externalId" : "8589114002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tysons", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9191272,-77.2229636" } ], "locationText" : "Tysons, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Director", "technicalSkills" : "AI, Machine learning, Data integration, Computer science", "professionalSkills" : [ "Sales strategy", "Account management", "Business development", "Customer engagement", "Product development", "Strategic selling" ], "hardSkillsList" : [ "Analytical skills" ], "hardSkills" : [ { "name" : "Analytical skills", "level" : "intermediate" } ], "majorSkills" : "Enterprise AI software, AI application roadmaps, Digital transformation", "majorSkillsList" : [ "Enterprise AI software", "AI application roadmaps", "Digital transformation" ], "coreResponsibilities" : "Develop and execute sales strategy, Drive revenue growth, Target Intelligence Community agencies, Identify and prioritize key accounts, Cultivate relationships with decision-makers, Understand Intelligence Community challenges, Tailor sales approaches, Engage in strategic relationships, Assure realization of digital transformation goals, Develop customer engagement plans, Research and identify customer prospects, Collaborate with sales teams, Collaborate with engineering teams, Collaborate with products teams, Collaborate with marketing teams, Develop new product offerings, Represent C3 AI, Drive business development with partners, Engage in strategic account selling, Engage in business development, Engage in customer success, Travel to customer sites", "teamCollaboration" : "Sales teams; Engineering teams; Products teams; Marketing teams; Company alliance partners", "domainKnowledge" : "Intelligence Community sector; Procurement processes; Acquisition programs; AI technology; Data analytics; AI; Machine Learning", "domainList" : [ "intelligence-community-sector", "procurement-processes", "acquisition-programs", "ai-technology", "data-analytics", "ai", "machine-learning" ], "domainSpecificKnowledge" : [ "Intelligence Community sector", "Procurement processes", "Acquisition programs", "AI technology", "Data analytics", "AI", "Machine Learning" ], "communicationSkills" : "Written communication; Oral communication", "specialRequirements" : "Travel up to 50%", "outcomesObjectives" : "Achieve digital transformation objectives", "qualificationsBasic" : "Degree in engineering, science, computer science, Active TS/SCI with Polygraph clearance, Proven track record in sales, Selling SaaS solutions to Intelligence Community, Deep understanding of Intelligence Community landscape, Knowledge of AI technology, data analytics", "qualificationsPreferred" : "Master’s or MBA degree preferred, Sales consulting or management consulting experience preferred", "workSiteFlexibility" : "Onsite", "rawDescription" : "C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is hiring a Senior Director, Strategic Solutions for our Intelligence Community Sector. This is a ground floor opportunity to further develop your career with a rapidly growing leader in Enterprise AI software. You will work with the Intelligence Community and senior management to develop high-value AI use cases and AI application roadmaps. You will help Intelligence Community customers achieve their digital transformation objectives through identifying high-value opportunities. We are looking for motivated individuals with a hard work ethic and track record of achievement. You will receive a highly competitive salary and excellent benefits along with generous commissions and equity. In addition to strategic sales training, you will be supported by senior management and mentors to help ensure your success. Candidates should be able to understand complex issues at the intersection of business and technology and communicate that complexity with simplicity. Successful candidates will thrive in a fast-paced, high-performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, engineering, data integration, or computer science. Responsibilities: Develop and execute a comprehensive sales strategy to drive revenue growth within the Intelligence Community sector, targeting Intelligence Community agencies, departments, and prime contractors. Identify and prioritize key accounts, cultivating relationships with senior-level decision-makers, program managers, and influencers within Intelligence Community organizations. Understand the unique challenges, requirements, and procurement processes of the Intelligence Community sector, and tailor sales approaches and solutions accordingly. Engage in strategic relationships with Intelligence Community customers to assure the realization of their digital transformation goals. Develop, maintain, and manage the implementation of strategic Intelligence Community customer engagement plans. Manage efforts to research and identify customer prospects and targets. Collaborate with sales, engineering, products, and marketing teams to develop new product offerings within existing and new lines of business. Represent C3 AI by driving business development with company alliance partners. Personally engage in strategic account selling, business development, and ongoing customer success. Travel to customer sites up to 50% of the time (or more) depending on business needs. Qualifications: Degree in engineering, science, computer science, or related technical field of study. Master’s or MBA degree preferred. Must have an active TS/SCI with Polygraph clearance. Proven track record of success in sales with a focus on selling SaaS solutions to the Intelligence Community sector. Deep understanding of the Intelligence Community landscape, procurement processes, and acquisition programs. Extensive knowledge of AI technology, data analytics, and their applications within the Intelligence Community sector. Demonstrated experience in building and nurturing relationships with senior-level decision-makers and influencers 1 within Intelligence Community organizations. Experience with and understanding of AI and Machine Learning is highly favorable. Exemplary written and oral communication skills. Excellent interpersonal, planning, and organizational skills. Strong analytical skills. Sales consulting or management consulting experience preferred. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. Virginia Base Pay Range $160,000—$185,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.", "summaryDescription" : "Senior Director, Strategic Solutions - Intelligence Community at C3 AI. Skills: Enterprise AI software, AI application roadmaps, Digital transformation. Develop and execute sales strategy. Drive revenue growth", "postedDate" : "2026-06-14T09:15:44.948", "createdAt" : "2026-06-14T09:15:44.948", "lastUpdated" : "2026-06-15T09:54:51.861", "ingestTimestamp" : "2026-06-14T09:15:44.948", "mongoId" : "6a2ca42e74d8ee00a09b08bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 185000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Analytical skills", "Enterprise AI software", "AI application roadmaps", "Digital transformation", "Sales strategy", "Account management", "Business development", "Customer engagement", "Product development", "Strategic selling", "Intelligence Community sector", "Procurement processes", "Acquisition programs", "AI technology", "Data analytics", "AI", "Machine Learning" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305b67f292fd229cf5d501", "title" : "Director, US Commercial Enablement", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 188000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T10:14:13.076", "fingerprint" : "948541ebeab3f4ca35e2d0a978ac5d259de20f2ea2e9aff8619525fb43c0f8d9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6017460004", "externalId" : "6017460004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Salesforce CRM, Veeva CRM", "professionalSkills" : [ "Commercial enablement", "Training program development", "Sales strategy", "Market analysis", "Cross-functional collaboration" ], "hardSkillsList" : [ "Sales training", "Content development", "Performance metrics" ], "hardSkills" : [ { "name" : "Sales training", "level" : "intermediate" }, { "name" : "Content development", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "majorSkills" : "Commercial enablement, Sales training, Biotech industry", "majorSkillsList" : [ "Commercial enablement", "Sales training", "Biotech industry" ], "coreResponsibilities" : "Develop and execute commercial enablement strategies, Design and deliver impactful training programs, Create compelling sales collateral and resources, Analyze sales performance data, Identify areas for sales team improvement, Collaborate with commercial leadership, Manage sales enablement technology stack, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Commercial leadership; Sales teams; Marketing teams; Medical affairs teams", "projectManagementSkills" : [ "Project planning", "Execution", "Stakeholder management" ], "domainKnowledge" : "Biotech industry; Pharmaceutical sales; Rare disease; Commercial training", "domainList" : [ "biotech-industry", "pharmaceutical-sales", "rare-disease", "commercial-training" ], "domainSpecificKnowledge" : [ "Biotech industry", "Pharmaceutical sales", "Rare disease", "Commercial training" ], "toolProficiency" : [ "Salesforce CRM", "Veeva CRM", "Sales enablement platforms" ], "communicationSkills" : "Presentation skills; Content creation", "problemSolvingSkills" : "Sales performance analysis; Identify improvement areas", "outcomesObjectives" : "Drive sales team effectiveness; Improve sales performance; Enhance product knowledge; Increase revenue generation", "qualificationsBasic" : "5+ years of experience in commercial enablement, Experience in the biotech or pharmaceutical industry, Experience developing and executing commercial training programs, Experience with salesforce CRM, Experience with Veeva CRM", "qualificationsPreferred" : "Master's degree preferred, Experience with sales enablement platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary The Director, US Commercial Enablement drives strategic commercial enablement initiatives and builds foundational tools, processes, and capabilities to support business growth and launch readiness. The Director establishes and optimizes field enablement infrastructure, including incentive compensation, CRM platforms, and business intelligence tools, while ensuring alignment across cross-functional stakeholders. This role enhances field effectiveness, builds scalable processes, and promotes operational excellence with a patient-first mindset. This position is based in Waltham, MA Primary Responsibilities Include: Incentive Compensation and Performance Programs Leads planning, design, and administration of incentive compensation and bonus programs across commercial, medical, and patient services teams Develops plan design models, manages payouts, and delivers monthly and quarterly reporting Maintains plan documentation, tracking systems, and performance monitoring processes Conducts regular performance reviews with stakeholders to optimize program effectiveness Partners with field teams to build account planning tools Leads recognition programs, including Circle of Excellence and associated planning Commercial Systems, Tools, and Analytics Serves as commercial business owner for CRM platforms (e.g., Veeva), translating field needs into system enhancements Partners with IT and stakeholders to implement and optimize CRM and data solutions Owns business intelligence reporting tools and ensures data accuracy through quality control processes Supports reporting platforms across market access and patient services Optimizes field enablement tools and materials to improve productivity and effectiveness Field Operations and Infrastructure Designs and implements fleet program aligned with business needs and industry benchmarks Maintains and updates fleet policies in collaboration with Compliance, HR, Finance, and Field Leadership Builds scalable processes to support field teams and commercial operations Cross-Functional Planning and Execution Leads coordination of national, regional, and headquarters meetings in partnership with Marketing and Commercial teams Drives cross-functional planning across Sales, Marketing, Market Access, Advanced Analytics, Patient Services, Finance, and IT Ensures alignment and readiness to support commercial launch and execution Strengthens collaboration and communication across teams Education and Skills Requirements: Bachelor’s degree; advanced degree preferred 12+ years of experience in biotech, pharmaceutical, or life sciences industry, including field sales, sales leadership, field operations, or consulting experience supporting commercial organizations Demonstrated experience supporting or leading launch readiness, ideally in rare disease, neuromuscular, neurodegenerative, or neurodevelopmental therapies Strong leadership and project management experience, including managing vendors and scaling commercial infrastructure Strategic mindset with ability to execute and deliver results Experience with commercial technology platforms and data environments (e.g., CRM, BI tools, Snowflake, Boomi, SP/SIP, HUB data) Strong analytical and problem-solving skills Excellent written and verbal communication skills, including ability to present to senior leadership Demonstrated ability to collaborate effectively across cross-functional stakeholders #LI-Onsite MA Pay Range $188,000—$235,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, US Commercial Enablement at Dyne Therapeutics. Skills: Commercial enablement, Sales training, Biotech industry. Develop and execute commercial enablement strategies. Design and deliver impactful training programs", "postedDate" : "2026-06-15T23:23:38.351", "createdAt" : "2026-06-15T23:23:38.351", "lastUpdated" : "2026-06-16T10:14:13.076", "ingestTimestamp" : "2026-06-15T23:23:38.351", "mongoId" : "6a305b67f292fd229cf5d501", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 188000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Sales training", "Content development", "Performance metrics", "Commercial enablement", "Biotech industry", "Training program development", "Sales strategy", "Market analysis", "Cross-functional collaboration", "Project planning", "Execution", "Stakeholder management", "Pharmaceutical sales", "Rare disease", "Commercial training", "Salesforce CRM", "Veeva CRM", "Sales enablement platforms" ], "skillCount" : 18, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7f5474d8ee00a09552e3", "title" : "Manager, People US", "company" : "HG Insights", "industry" : "Technology", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, People in the US SaaS industry, adjusted for seniority and remote work." }, "location" : "Remote (US)", "locations" : [ "Remote (US)" ], "timestamp" : "2026-06-16T03:42:51.594", "fingerprint" : "ebf678e7bdd4ae8a721770147229be89ba7af78ff5ff36f1086b63313dd35b26", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://hginsights.com/hg-insights-careers/current-opportunities/?gh_jid=7768226003", "externalId" : "7768226003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Manager, People (US) Remote, US About HG HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI- driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making. Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation. About the Role At HG Insights, our people are everything and this role exists to make sure they feel that every single day. We are looking for a Manager, People (US) who is not just experienced, but genuinely passionate about building people functions that work, This is a hands-on, high-ownership role for someone who has been in the trenches of building HR from the ground up ideally in a fast-moving, high-growth technology environment and who knows what it takes to create structure, clarity and consistency without losing the human touch along the way. You will be reporting to the Senior Director, People and will be the engine behind our People team across the region executing with precision, consistency and care while our People leaders set the strategy and roadmap. This role was created because our US people's needs have grown significantly and the complexity that comes with that growth deserves dedicated, expert attention. From contracts and benefits administration to immigration law and policy writing, you will own the pieces of our US people function that require real depth, real expertise and real commitment to getting things right. If you are a high-agency builder who thrives on taking ownership and turning ambiguity into structure, this role is for you. We need someone who isn't afraid to roll up their sleeves and do the heavy lifting, but who also wants the autonomy to design, iterate, and scale the processes that define our People Experience. What you’ll do Own the drafting, review and management of all AMER employment contracts, offer letters, amendments and separation agreements Ensure all employment documentation is legally compliant, up to date and aligned with US federal and state requirements Partner with legal counsel where required on complex or non-standard employment arrangements Own end-to-end US benefits administration health, dental, vision, 401(k), wellness reimbursements and all ancillary benefits Manage open enrolment processes, vendor relationships and employee benefits queries with accuracy and care Ensure benefits programmes are competitive, compliant and clearly communicated to all US employees Design, write and maintain US people policies that are legally compliant, clearly written and genuinely employee-friendly Proactively track changes in AMER federal and state employment law and update policies and practices before they become a problem Ensure our US Employee Handbook is current, consistent and reflects who we are as a company Manage all US immigration processes including H-1B, OPT, STEM OPT, green card sponsorship and I-9 compliance Partner with external immigration counsel to ensure timely and accurate processing of all visa and work authorisation cases Serve as the internal point of expertise on immigration matters advising employees and managers with clarity and confidence Support the full US employee lifecycle from onboarding to offboarding ensuring every touchpoint is smooth, consistent and handled with care Be the trusted, go-to person for US employees on all people-related queries and processes Partner with the broader global People team to ensure US processes are aligned with global standards and frameworks Support HRIS data integrity, reporting accuracy and system adoption across all people platforms Partner with senior People leaders to evaluate, select and implement the HR systems and tools that will power our people function Drive employee engagement initiatives, pulse surveys and action planning globally. Collaborate closely with Finance, IT, Talent Acquisition and cross-functional teams to identify opportunities for process improvement, streamline operations and elevate the overall employee experience end to end. What we are looking for Minimum Qualifications 7+ years of progressive HR / People experience with strong US specific expertise Proven experience in a SMB SaaS or technology company you understand the pace, the constraints and the opportunity Hands-on experience with US benefits administration you have managed open enrolment, vendor relationships and employee queries Hands-on experience with one or more HRIS platforms such as Workday, Namely, BambooHR, SAP SuccessFactors, Rippling or Lattice with proven ability to implement, optimise and manage these systems at scale. Strong knowledge of US employment law across federal and multiple state jurisdictions Demonstrable experience managing US immigration processes H-1B, OPT, green card and I-9 compliance Excellent policy writing skills you can translate complex legal requirements into clear, readable language Experience drafting and reviewing employment contracts and separation agreements A self-starter who takes ownership, operates with high integrity and thrives in a lean, fast-moving environment Preferred Qualifications Experience supporting a global People team across multiple regions Exposure to compensation benchmarking and total rewards in a US tech environment Experience leveraging AI tools to improve HR processes and efficiency What we offer/Benefits We take care of our people fully and genuinely. Every HG Insights employee receives comprehensive healthcare coverage for themselves and their families, a monthly wellness reimbursement and access to Able To professional mental health coaching for stress, anxiety and depression support as per the regions. For your financial future, US employees benefit from a 401(k) with up to 5% company matching and all UK employees are enrolled in a pension scheme. Every employee also receives stock options because the people who build this company should share in its success. We invest in your growth through an annual learning reimbursement and a genuine commitment to developing your career at every stage. And through our Culture Club, you will always have a real voice in shaping the kind of workplace we build together. A remote first role within the United States, complemented by periodic travel to HG Insights hub locations for key business and team engagements. Equal Opportunity Employer HG Insights is proud to be an Equal Employment Opportunity employer. We do not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of HG Insights", "summaryDescription" : "Manager, People US at HG Insights", "postedDate" : "2026-06-14T20:10:54.905", "createdAt" : "2026-06-14T20:10:54.905", "lastUpdated" : "2026-06-16T03:42:51.594", "ingestTimestamp" : "2026-06-14T20:10:54.905", "mongoId" : "6a2c7f5474d8ee00a09552e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2176d374d8ee00a0c1afae", "title" : "Solutions Architect, US FSI - Insurance", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 131300.0, "max" : 177600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Denver, Colorado, USA", "locations" : [ "Denver, Colorado, USA" ], "timestamp" : "2026-06-15T01:59:29.642", "fingerprint" : "cb0dccf297a0f153a6ec374d034f3aea13b66cbecf8d9ba1ef6a88e0866d48e7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438687/apply", "externalId" : "11df6796-ae14-4e55-be10-3a708d46dfd2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS", "professionalSkills" : [ "System design", "Cloud computing", "Software development", "Systems engineering", "Infrastructure", "Security", "Networking", "Data analytics" ], "hardSkillsList" : [ "Cloud architecture", "Solution design" ], "hardSkills" : [ { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "Solution design", "level" : "intermediate" } ], "majorSkills" : "Cloud solutions, AWS services", "majorSkillsList" : [ "Cloud solutions", "AWS services" ], "coreResponsibilities" : "Communicate effectively with stakeholders, Participate in architectural and design discussions, Create world-class solutions on AWS, Ensure solutions are designed for cloud deployment, Author and contribute to AWS publications, Formulate and execute sales strategy, Exceed revenue objectives, Build deep relationships with customers, Enable customers to be cloud advocates, Capture and share best-practice knowledge", "teamCollaboration" : "Partner with customers; Collaborate with AWS Sales; Collaborate with other AWS teams; Work with partner network", "domainKnowledge" : "Insurance industry", "domainList" : [ "insurance-industry" ], "domainSpecificKnowledge" : [ "Insurance industry" ], "communicationSkills" : "Technical advisor", "documentationSkills" : "Whitepapers; Proof of concepts", "innovationCreativity" : "Craft innovative solutions", "problemSolvingSkills" : "Understand customer challenges", "specialRequirements" : "15-20% travel", "outcomesObjectives" : "Accelerate customer success; Drive successful business outcomes; Shape and execute strategy; Build deep adoption; Drive broad use of AWS", "qualificationsBasic" : "2+ years design, implementation, or consulting experience, 4+ years specific technology domain experience, 3+ years IT development or implementation/consulting experience", "qualificationsPreferred" : "Experience working within software development or Internet-related industries, Experience migrating or transforming legacy customer solutions to the cloud, Experience working with AWS technologies from a dev/ops perspective", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Jun 13, 2026 AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. The Amazon Web Services (AWS) Solutions Architect team partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Solutions Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services. As a trusted customer advocate, Solutions Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for migrating existing workloads to the cloud. You’ll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your enterprise customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network. Key job responsibilities Communicate effectively with both business and technical stakeholders as a trusted technical advisor. Participate in deep architectural and design discussions to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud. Author and contribute to AWS customer-facing publications such as whitepapers and proof of concepts. In partnership with the sales team, formulate and execute a sales strategy to exceed revenue objectives through the adoption of AWS. Build deep relationships with business and senior technical individuals within customers to enable them to be cloud advocates. Capture and share best-practice knowledge amongst the AWS solutions architect community. Travel is mostly regional, and is expected to be 15-20%. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 2+ years of design, implementation, or consulting in applications and infrastructures experience - 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - Experience working within software development or Internet-related industries - Experience migrating or transforming legacy customer solutions to the cloud - Experience working with AWS technologies from a dev/ops perspective Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Irvine - 131,300.00 - 177,600.00 USD annually USA, CA, San Diego - 131,300.00 - 177,600.00 USD annually USA, CO, Denver - 131,300.00 - 177,600.00 USD annually", "summaryDescription" : "Solutions Architect, US FSI - Insurance at Amazon Web Services, Inc.. Skills: Cloud solutions, AWS services. Communicate effectively with stakeholders. Participate in architectural and design discussions", "postedDate" : "2026-06-13T02:39:48.080", "createdAt" : "2026-06-13T02:39:48.080", "lastUpdated" : "2026-06-15T01:59:29.642", "ingestTimestamp" : "2026-06-13T02:39:48.080", "mongoId" : "6a2176d374d8ee00a0c1afae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438687/apply", "salaryAnnualMin" : 131300, "salaryAnnualMax" : 177600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cloud architecture", "Solution design", "Cloud solutions", "AWS services", "System design", "Cloud computing", "Software development", "Systems engineering", "Infrastructure", "Security", "Networking", "Data analytics", "Insurance industry" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ab09574d8ee00a06ce099", "title" : "Lead Solutions Consultant - US", "company" : "Perk", "industry" : "Sales", "salary" : { "min" : 140500.0, "max" : 165000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Chicago", "locations" : [ "Chicago" ], "certifications" : [ "CPA", "CMA" ], "timestamp" : "2026-06-14T22:59:57.642", "fingerprint" : "261b546b434546c857fa82724758a33ade54a38d4c04a6885f9913ab5dce0803", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Perk/cbdc07f0-ee67-4b2c-b1e6-9d4f6c6b53fa/application", "externalId" : "cbdc07f0-ee67-4b2c-b1e6-9d4f6c6b53fa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SAP S/4HANA, Oracle NetSuite, Microsoft Dynamics, Workday, REST APIs, SOAP APIs, iPaaS, SFTP, Event-driven architectures", "professionalSkills" : [ "Spend management", "Accounting processes", "P2P automation", "T&E", "Corporate cards", "Financial controls", "Shared service operations", "Solution strategy", "Solution design", "Technical close", "Finance requirements", "Operational requirements", "Accounting best practices", "Financial controls", "Audit requirements", "Solution patterns", "Reference architectures", "Enterprise architecture", "Customer setups", "Multi-entity ERP", "Global rollouts", "Architectural discussions", "Integration stakeholders", "Security stakeholders", "Cloud ERP", "On-premise ERP", "Data residency", "Roadmap input" ], "hardSkillsList" : [ "Sales Engineering", "Solutions Consulting", "Complex B2B SaaS", "Technical presentations", "Commercial mindset" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Sales Engineering", "level" : "intermediate" }, { "name" : "Solutions Consulting", "level" : "intermediate" }, { "name" : "Complex B2B SaaS", "level" : "intermediate" }, { "name" : "Technical presentations", "level" : "intermediate" }, { "name" : "Commercial mindset", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Spend management, Solutions Consulting, Enterprise architecture", "majorSkillsList" : [ "Spend management", "Solutions Consulting", "Enterprise architecture" ], "coreResponsibilities" : "Lead solution strategy on pursuits, Define solution designs, Translate requirements into designs, Develop reusable solution patterns, Develop reference architectures, Serve as senior SC presence, Raise technical bar, Raise commercial bar, Lead onboarding, Lead demo certification, Lead continuous coaching, Build NAM SC playbook, Maintain NAM SC playbook, Run whiteboarding sessions, Run deal-coaching sessions, Develop solution selling skills, Act as subject matter expert, Lead architectural discussions, Partner with Product, Partner with Engineering, Surface customer patterns, Surface customer gaps, Surface roadmap input", "teamCollaboration" : "Partner with Sales; Liaise with Product; Partner with Engineering; Work with IT stakeholders; Work with integration stakeholders; Work with security stakeholders", "projectManagementSkills" : [ "Solution design playbook" ], "domainKnowledge" : "Spend management; Accounting processes; P2P automation; T&E; Corporate cards; Financial controls; Shared service operations; Enterprise ERPs; Cloud ERP; On-premise ERP; APIs; Middleware; SFTP; SSO; Data residency", "domainList" : [ "spend-management", "accounting-processes", "p2p-automation", "t-e", "corporate-cards", "financial-controls", "shared-service-operations", "enterprise-erps", "cloud-erp", "on-premise-erp", "apis", "middleware", "sftp", "sso", "data-residency" ], "domainSpecificKnowledge" : [ "Spend management", "Accounting processes", "P2P automation", "T&E", "Corporate cards", "Financial controls", "Shared service operations", "Enterprise ERPs", "Cloud ERP", "On-premise ERP", "APIs", "Middleware", "SFTP", "SSO", "Data residency" ], "toolProficiency" : [ "Perk platform" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Continuous coaching", "problemSolvingSkills" : "Solution design", "specialRequirements" : "Based within commuting distance of hubs", "outcomesObjectives" : "Achieving revenue targets; Achieving retention targets", "qualificationsBasic" : "8–12 years in Sales Engineering, 3 years in senior/lead/mentoring capacity, Spend management SaaS experience required, P2P SaaS experience required, Office of the CFO SaaS experience required, Enterprise ERP landscapes expertise, Integration patterns expertise, Present value to CFOs, Present value to Controllers, Present value to CIOs", "qualificationsPreferred" : "Prior career as finance practitioner, CPA credential, CMA credential, Scaling Solutions Consulting function experience", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we’re on a mission to power real work, with real impact. We’re trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling, and Fabletics, and we’re tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem http://www.perk.com/shadow-work-report. Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work. At Perk, we’re driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you’re excited about having a real impact and shaping how millions of people experience work, we’d love you on the team. Visit www.perk.com http://www.perk.com to learn more. About the Role As Perk's foundational Lead Solutions Consultant for North America (NAM), you will be the regional spend management subject matter expert, leading technical and commercial aspects for strategic pursuits. You will define the SC team's operating model as we scale. You will lead complex enterprise opportunities, partner with Sales, and liaise with Product. You will establish the discovery, demo, and solution design playbook. You are a spend management, accounting, and financial processes expert with deep knowledge of enterprise ERPs, able to lead architectural discussions with customer IT and finance. You have a proven track record of connecting product capabilities to C-level financial priorities to sell value. What You'll Do I. Lead Solution Strategy & Design - Lead solution strategy on Perk's most strategic and complex NAM pursuits, from discovery through technical close. - Translate complex finance and operational requirements into scalable solution designs that align with accounting best practices, financial controls, and audit requirements. - Develop reusable solution patterns and reference architectures the wider SC team can deploy across the region. II. Team Elevation & Mentorship - Serve as the senior SC presence in NAM, raising the technical and commercial bar across the team. - Lead onboarding, demo certification, and continuous coaching for the Solutions Consulting team. - Build and maintain the NAM SC playbook — discovery frameworks, demo libraries, and competitive battlecards. - Run regular whiteboarding and deal-coaching sessions to develop the team's solution selling skills. III. Enterprise Architecture Expertise - Act as the internal subject matter expert on complex customer setups, including multi-entity ERP environments, shared service center operations, and global rollouts. - Lead architectural discussions with enterprise IT, integration, and security stakeholders - comfortable across cloud and on-premise ERP, APIs, middleware, SFTP, SSO, and data residency considerations. - Partner with Product and Engineering as the voice of NAM customers, surfacing patterns, gaps, and roadmap input from the field. What You'll Bring - Experience: 8–12 years in Sales Engineering or Solutions Consulting for complex B2B SaaS, with at least 3 years in a senior, lead, or mentoring capacity. - Domain Expertise: Deep, hands-on understanding of enterprise accounting processes, P2P / AP automation, T&E, corporate cards, financial controls, and shared service operations. Spend management, P2P, or Office of the CFO SaaS experience required. - ERP & Integration Fluency: Demonstrated expertise across enterprise ERP landscapes (SAP S/4HANA, Oracle NetSuite, Microsoft Dynamics, Workday) and integration patterns (REST/SOAP APIs, iPaaS/middleware, SFTP, event-driven architectures). - Strategic Mindset: Track record of not just executing deals but defining solution consulting methodologies, building enablement, and improving team performance at scale. - Executive Presence: Confident presenting value to CFOs, Controllers, and CIOs at Global 2000 and high-growth enterprises across North America. - Sales Instinct: Genuine commercial mindset — you partner with AEs to drive deals, not just respond to them. Nice to Have - Prior career as a finance practitioner (controller, FP&A, AP manager) before moving into pre-sales. - CPA, CMA, or equivalent accounting credential. - Experience scaling a Solutions Consulting function in a high-growth SaaS environment. What we offer - Receive competitive compensation and equity ownership in Perk - Rest and recharge with our generous allocation of 20 vacation days and 12 public holidays - Enjoy the flexibility of three medical plans to choose from, with company contributions and an HSA when enrolling in an HDHP medical plan - Take control of your physical health with additional comprehensive benefit plans, covering dental, vision and Wellhub’s gym subscription from your start date - Rest assured that you’re covered by life and disability policies from your start date, with options to add extra protection through voluntary buy-up plans - Plan for your future with our 401(k) plan with company matching contributions - Care for your furry friends through partner discounts on pet insurance - Join our unforgettable Perk events, including our spectacular annual summer party - Always feel supported with Spring Health, our market-leading wellbeing partner, providing fast, comprehensive access to 12x therapy and 12x coaching sessions for you and your loved ones - Focus on your family with 12-16 weeks’ paid parental leave - Contribute to your community with 16 paid hours per year to spend volunteering for your dearest charitable causes - Broaden your horizons with up to 20 \"Work from Anywhere\" days per year - Follow your passions and take a four-week, fully paid sabbatical once you reach 5 years - Let us help you move to one of our hubs with relocation support Compensation Compensation for this role is a combination of salary, commissions, and stock options. The base salary range is $140,500 - $165,000, and the total on-target commission is $45,000. The commission structure will be tied to achieving revenue & retention targets AI at Perk AI is embedded in how we work across every function. The tools you'll use day-to-day are AI-enabled so you can move faster and spend more time on the work that matters. In practice, that means using AI to research and prioritise accounts, draft and refine outreach, handle customer interactions more effectively, synthesise information, and cut through shadow work - the invisible tasks that pull people away from the work only they can do - so you can focus on relationships and outcomes. We don't expect you to be an AI expert, but we do expect you to be curious and intentional about it. The bar is judgment: knowing when AI makes your work better, when to verify what it produces, and when to rely on your own expertise instead. We'll ask about how you use AI in your interviews, not to test tool knowledge, but to understand how you think about it. That reflects how we work every day. How We Work At Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work. For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume. Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We’re an equal opportunity employer, which means you’re welcome at Perk regardless of how you look, where you’re from, or anything else that makes you, well, you. Protect Yourself from Recruitment Scams All official communication from Perk will always come from email addresses ending in @perk.com http://perk.com or @externalperk.com http://externalperk.com, our verified social media channels, or recruiters listed on our official LinkedIn page. We will never ask you to pay for equipment, training, or fees, request sensitive personal information such as bank details early in the process, or communicate through unofficial apps like WhatsApp, Telegram, or Signal. If you receive a message claiming to be from Perk that seems suspicious, please do not respond. Forward it to security [at] perk .com, and we will confirm whether it is legitimate.", "summaryDescription" : "Lead Solutions Consultant - US at Perk. Skills: Spend management, Solutions Consulting, Enterprise architecture. Lead solution strategy on pursuits. Define solution designs", "postedDate" : "2026-06-12T02:23:47.467", "createdAt" : "2026-06-12T02:23:47.467", "lastUpdated" : "2026-06-14T22:59:57.642", "ingestTimestamp" : "2026-06-12T02:23:47.467", "mongoId" : "6a2ab09574d8ee00a06ce099", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140500, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Sales Engineering", "Solutions Consulting", "Complex B2B SaaS", "Technical presentations", "Commercial mindset", "Leadership", "Mentoring", "Spend management", "Enterprise architecture", "Accounting processes", "P2P automation", "T&E", "Corporate cards", "Financial controls", "Shared service operations", "Solution strategy", "Solution design", "Technical close", "Finance requirements", "Operational requirements", "Accounting best practices", "Audit requirements", "Solution patterns", "Reference architectures", "Customer setups", "Multi-entity ERP", "Global rollouts", "Architectural discussions", "Integration stakeholders", "Security stakeholders", "Cloud ERP", "On-premise ERP", "Data residency", "Roadmap input", "Solution design playbook", "Enterprise ERPs", "APIs", "Middleware", "SFTP", "SSO", "CPA", "CMA", "Perk platform" ], "skillCount" : 43, "jobCategory" : "sales", "jobSubcategory" : "sales", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS" }, { "id" : "6a2c6a6c74d8ee00a090bc98", "title" : "Business Intelligence Manager", "company" : "Bankrate", "industry" : "FinTech", "salary" : { "min" : 130000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T11:23:03.267", "fingerprint" : "f949be13141abf63dd1c73a55f8f044ef8592ef5638a85f4b72d43277a52233a", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://bankrate.com/careers/current-openings?gh_jid=7926189", "externalId" : "7926189", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "35.2272086,-80.8430827" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, New York, United States; Charlotte, North Carolina, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data modeling", "Business acumen", "Stakeholder prioritization", "Team capacity management" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Business Intelligence, Data analysis, Data modeling, Team leadership", "majorSkillsList" : [ "Business Intelligence", "Data analysis", "Data modeling", "Team leadership" ], "coreResponsibilities" : "Lead and develop BI analysts, Own delivery of dashboards, Own delivery of data models, Own ad hoc analysis, Serve as BI point of contact, Translate business questions, Translate data questions, Partner with data engineering, Support Head of BI", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Data engineering teams", "projectManagementSkills" : [ "Roadmap planning", "Stakeholder prioritization" ], "domainKnowledge" : "Digital media; Financial services; Performance marketing", "domainList" : [ "digital-media", "financial-services", "performance-marketing" ], "domainSpecificKnowledge" : [ "Digital media", "Financial services", "Performance marketing" ], "toolProficiency" : [ "Looker", "Databricks" ], "communicationSkills" : "Written communication; Verbal communication; Data communication", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Analytical problems", "specialRequirements" : "Eastern Standard Time hours", "qualificationsBasic" : "5+ years in analytics or BI, 1-2 years leading analysts, Databricks or similar cloud data platforms, Looker experience, Data modeling experience, SQL proficiency, Digital media experience, Financial services experience, Performance marketing experience", "qualificationsPreferred" : "Experience supporting paid media, Experience supporting earned media", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "*This role is open to remote or hybrid candidates (East Coast preference), with hybrid being central to our New York, NY or Charlotte area offices. Must be able to work Eastern Standard Time hours. Bankrate's BI team is the connective tissue between raw data and the decisions that drive the business. As Manager of Business Intelligence, you'll lead a team of analysts, own a portfolio of high-visibility reporting and analytics initiatives, and serve as the bridge between stakeholders and the data foundation we're building. This is a player-coach role; you'll be doing real analytical work alongside your team, not just managing it. What You’ll Do: Lead and develop a team of 2-4 BI analysts across assigned verticals Own end-to-end delivery of dashboards, data models, and ad hoc analysis - primarily in Looker and Databricks and other proprietary systems. Serve as the primary BI point of contact for several business categories Translate ambiguous business and data questions into structured analytical problems and ship answers fast Partner with data engineering on pipeline work, schema changes, and data quality issues Spot gaps in coverage, documentation, and process - and fix them proactively Support the Head of BI in roadmap planning, stakeholder prioritization, and team capacity management Stay in the work - this role requires hands-on contribution, not just oversigh What We’re Looking For: 5+ years in analytics or BI, with at least 1-2 years leading or mentoring other analysts Strong SQL; comfort in Databricks or similar cloud data platforms Looker and data modeling experience strongly preferred Experience supporting paid and earned media is a plus - we touch every area of the business and need someone who can flex across verticals Proven ability to manage competing stakeholder priorities Enough business acumen to know what questions matter before someone asks them Clear communicator - written, verbal, and in the data itself Experience in digital media, financial services, or performance marketing is a plus Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation Range: $130,000 – $185,000 per year Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Bankrate is redefining the future of financial decision-making. For nearly five decades, we’ve empowered tens of millions of consumers to make smarter financial choices and helped hundreds of leading financial institutions grow. Today, we’re evolving from a marketplace into a next-generation technology platform—underpinned by proprietary data, AI-driven innovation, and deep enterprise integrations. With our track record of delivering consumers quantifiably better offers—for example, on home loans where we lead the market—Bankrate stands at the center of the $60B U. S. financial services acquisition opportunity. As we expand through omnichannel marketing and strategic partnerships, and launch unique consumer product applications, we’re building a more efficient, personalized, and connected financial ecosystem—one grounded in trust. Join us as we transform five decades of credibility into the next era of financial technology. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity. For more, the U. S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there!", "summaryDescription" : "Business Intelligence Manager at Bankrate. Skills: Business Intelligence, Data analysis, Data modeling, Team leadership. Lead and develop BI analysts. Own delivery of dashboards", "postedDate" : "2026-06-14T08:55:06.715", "createdAt" : "2026-06-14T08:55:06.715", "lastUpdated" : "2026-06-15T11:23:03.267", "ingestTimestamp" : "2026-06-14T08:55:06.715", "mongoId" : "6a2c6a6c74d8ee00a090bc98", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Mentoring", "Business Intelligence", "Data analysis", "Data modeling", "Team leadership", "Business acumen", "Stakeholder prioritization", "Team capacity management", "Roadmap planning", "Digital media", "Financial services", "Performance marketing", "Looker", "Databricks" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2176d374d8ee00a0c1afd5", "title" : "Manager III, Business Intelligence, GFS (Global Finance Solutions)", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, finance", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Manager III, Business Intelligence, GFS in Bengaluru, India, adjusted for the technology industry and manager seniority." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T05:57:25.572", "fingerprint" : "f4e665cd5f44ec0ac84273dba9c0d6ce3a6520661dfcdf61719840cea35833c6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438434/apply", "externalId" : "8978656c-f7a5-45eb-a3de-6ba1a6a3b66b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "Redshift, ETL, Excel, QuickSight, Python, Java, R", "professionalSkills" : [ "Business analysis", "Data strategy", "System design", "Data modeling" ], "hardSkillsList" : [ "Business intelligence", "Analytics", "Data visualization", "Machine learning software", "Statistical software" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Machine learning software", "level" : "intermediate" }, { "name" : "Statistical software", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Business Intelligence, Data Engineering, Team Management", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Team Management" ], "coreResponsibilities" : "Lead design, implementation, and delivery of BI solutions, Take ownership of BI infrastructure, Provide system-wide design guidance, Drive BI engineering best practices, Set standards for operational excellence, Perform complex business analysis, Provide strategic recommendations to senior leadership, Design and implement technical solutions, Lead large projects, Divide work effectively, Mentor and develop other BIEs, Provide technical assessments for promotions, Build consensus, Resolve contentious technical issues, Influence organizational BI architecture, Influence cross-team data strategies, Communicate findings to management, Communicate strategic insights to management", "teamCollaboration" : "Partner with manager; Partner with stakeholders; Partner with customers; Work across teams", "projectManagementSkills" : [ "Project prioritization" ], "domainKnowledge" : "Global Finance Solutions; AWS Finance", "domainList" : [ "global-finance-solutions", "aws-finance" ], "domainSpecificKnowledge" : [ "Global Finance Solutions", "AWS Finance" ], "toolProficiency" : [ "Redshift", "ETL tools", "Excel", "QuickSight", "Report scheduling tools" ], "communicationSkills" : "Communicate findings; Communicate insights", "problemSolvingSkills" : "Complex problem solving", "qualificationsBasic" : "7+ years business intelligence and analytics experience, 5+ years managing a business intelligence or analytics team, Experience with SQL, Experience with ETL, Experience with data visualization, Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software", "qualificationsPreferred" : "4+ years working with very large data warehousing environment, 10+ years data warehouse technical architectures, 10+ years data modeling, 10+ years infrastructure components, 10+ years ETL/ ELT, 10+ years reporting/analytic tools and environments, 10+ years data structures, Hands-on SQL coding experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Organization: Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online. About the role: Amazon's Global Finance Solutions (GFS) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Business Intelligence Engineer to support AWS Finance Team. As a BI Manager You directly manage a BI team with existing systems (e.g., Redshift database, Data Mart) and defined strategy and deliver BI solutions for difficult problems efforts, and decisions. As the manager, you are accountable for the customer experience, project prioritization, data/solution quality, and system maintenance. You are also accountable for the experience of the employees that report to you. You set the example for our Leadership Principles. You take the time to understand the larger picture (i.e., customer needs, business opportunities, and problems to be solved) and share that knowledge. You partner with your manager, stakeholders, and customers (e.g., analysts, scientists, TPMs, etc.) to clarify your team’s mission, vision, and priorities. You help your team see how their work aligns with the organizational goals. You seek long-term, strategic guidance from your manager. Key job responsibilities • Lead the design, implementation, and delivery of BI solutions for complex and ambiguous problems • Take ownership of BI infrastructure and provide system-wide design guidance • Drive BI engineering best practices and set standards for operational excellence • Perform complex business analysis and provide strategic recommendations to senior leadership • Design and implement technical solutions with appropriate analytics strategy and data set design • Lead large projects that require work of multiple team members, dividing work effectively • Mentor and develop other BIEs, providing technical assessments for BIE II and BIE III promotions • Build consensus and resolve contentious technical issues across teams • Influence organizational BI architecture and cross-team data strategies • Communicate findings and strategic insights to management audiences A day in the life A day in the life of a BIE Manager at GFS involves leading complex, large-scale initiatives and providing technical leadership to the team. The day typically starts with strategic planning and architecture discussions, followed by hands-on work on the most critical solutions. You'll spend time mentoring junior team members, conducting design reviews, and collaborating with multiple stakeholders across the organization to ensure BI solutions align with business strategy. The day includes making key technical trade-offs, managing the team and driving best practices that impact the entire organization, all while maintaining Amazon's high standards of operational excellence. Tools used include: 1. SQL (Primarily Redshift) 2. ETL tools (internal) 3. Excel 4. Data visualization tools (QuickSight) 5. Report scheduling tools (internal) 6. Scripting language (e.g., Python, Java, or R) Basic Qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications: - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manager III, Business Intelligence, GFS (Global Finance Solutions) at ADCI. Skills: Business Intelligence, Data Engineering, Team Management. Lead design, implementation, and delivery of BI solutions. Take ownership of BI infrastructure", "postedDate" : "2026-06-13T16:37:52.160", "createdAt" : "2026-06-13T16:37:52.160", "lastUpdated" : "2026-06-15T05:57:25.572", "ingestTimestamp" : "2026-06-13T16:37:52.160", "mongoId" : "6a2176d374d8ee00a0c1afd5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438434/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Business intelligence", "Analytics", "Data visualization", "Machine learning software", "Statistical software", "Leadership", "Mentoring", "Business Intelligence", "Data Engineering", "Team Management", "Business analysis", "Data strategy", "System design", "Data modeling", "Project prioritization", "Global Finance Solutions", "AWS Finance", "Redshift", "ETL tools", "Excel", "QuickSight", "Report scheduling tools" ], "skillCount" : 22, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance" }, { "id" : "69c94a779bc74574cbbb3fec", "title" : "Sr. Specialist Solutions Architect, Databases, US Specialist Solutions Architects", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 153600.0, "max" : 207800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Dallas, Texas, USA", "locations" : [ "Dallas, Texas, USA" ], "timestamp" : "2026-06-15T08:17:50.718", "fingerprint" : "104a8bf638518e08f23acb1841b6eaac52598839543a07471590bcd47eff7345", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3198529/apply", "externalId" : "80ddfbad-9a8f-4214-985d-a845fd9180f1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle, SQL Server, NoSQL, PostgreSQL, MySQL, MariaDB, Cassandra, DynamoDB, RDS, Aurora-PostgreSQL, Aurora-MySQL, AWS", "professionalSkills" : [ "Solution architecture", "Cloud transformation", "Digital innovation", "Data management", "Database solutions" ], "hardSkillsList" : [ "Database migration", "Solution design", "Technical sales support", "Proof-of-concept projects", "Technical workshops", "Reference architectures" ], "hardSkills" : [ { "name" : "Database migration", "level" : "intermediate" }, { "name" : "Solution design", "level" : "intermediate" }, { "name" : "Technical sales support", "level" : "intermediate" }, { "name" : "Proof-of-concept projects", "level" : "intermediate" }, { "name" : "Technical workshops", "level" : "intermediate" }, { "name" : "Reference architectures", "level" : "intermediate" } ], "majorSkills" : "Database architecture, AWS services, Customer solutions", "majorSkillsList" : [ "Database architecture", "AWS services", "Customer solutions" ], "coreResponsibilities" : "Design solution architectures, Collaborate with customers and partners, Engage with Database Specialists Sellers, Support sales activities, Develop proof-of-concept projects, Deliver technical workshops, Support implementation projects, Migrate applications from on-premise databases, Design future state data services, Provide technical expertise, Provide strategic guidance, Collaborate with specialist sales teams, Collaborate with marketing teams, Collaborate with product teams, Serve as technical advisor, Lead architectural reviews, Lead workshops, Champion industry best practices, Present at industry events, Educate customers on AWS value, Provide feedback to product teams, Act as primary contact, Stay current with trends", "teamCollaboration" : "Customer discovery; Ideation; White board solutioning; Technical deep dives; Sales activities; Stakeholder support", "domainKnowledge" : "Database services; Relational technologies; Non-relational technologies; Cloud computing; Data management; Generative Artificial Intelligence", "domainList" : [ "database-services", "relational-technologies", "non-relational-technologies", "cloud-computing", "data-management", "generative-artificial-intelligence" ], "domainSpecificKnowledge" : [ "Database services", "Relational technologies", "Non-relational technologies", "Cloud computing", "Data management", "Generative Artificial Intelligence" ], "communicationSkills" : "Presenting; Educating; Thought leadership", "documentationSkills" : "Blogs; White papers; Reference architectures", "continuousLearning" : "Emerging trends", "innovationCreativity" : "Innovative solutions; Digital innovation", "problemSolvingSkills" : "Solve complex challenges; Accelerate success", "specialRequirements" : "Travel 25%", "outcomesObjectives" : "Accelerate customer success; Grow in the cloud", "qualificationsBasic" : "8+ years technology domain experience, 3+ years applications/infrastructures experience, 10+ years IT development/consulting experience, 5+ years database experience, 5+ years specific technology domain areas", "qualificationsPreferred" : "5+ years infrastructure architecture experience, 5+ years database architecture experience, 5+ years networking experience, Experience with end user communities, Experience with developer communities, Technical role in sales organization, Architecting/operating AWS solutions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Do you like to solve the most complex and high scale data management challenges in the world today? Do you like to build scaling mechanisms as a force multiplier? Do you like to engage with all levels of customer personas, from engineering to C-level executives? As a Database Specialist Solutions Architect (SA) you will design complete solution architectures based on AWS database services. Have you developed complex applications? Are you an experienced Oracle/SQL Server/NoSQL Platform Specialist? How about PostgreSQL, MySQL, MariaDB, Casandra, or DynamoDB? Have you migrated Applications from one Database Engine to another? Have you designed and architected complex database solutions incorporating both relational and non-relational technologies? Would you like a career that gives you opportunities to help organizations understand and use cloud computing web services to do big new things faster, at lower cost? As a Database Specialist SA you will collaborate with our customers and partners on key engagements. You will engage with Database Specialists Sellers and other stakeholders supporting sales activities such as customer discovery, ideating, white board solutioning, presenting, educating, leading technical deep dives, and other technical sales support activities for an assigned US division and territory. You will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects in order to develop or migrate applications from on-premise databases like Oracle/SQL Server to AWS, eg. RDS, Aurora-PostgreSQL/MySQL, DynamoDB or other database services on AWS. You will focus on customer solutions that depend on databases, designing and deploying future state data services and reference architectures to enable our customers to make the most of AWS managed databases. Key job responsibilities • Provide AWS customers with deep technical expertise and strategic guidance to allow them to effectively use AWS Database Services across their business, both tactically and strategically • Collaborate with AWS specialist sales, marketing, and product teams to develop innovative solutions for customers' most challenging business problems • Serve as a trusted technical advisor to customers' executives, helping them navigate cloud transformation and digital innovation • Lead architectural reviews and workshops focused on common use cases, industry best practices, helping customers jump-start their AWS migration journey • Design and architect complex database solutions based on relational or non-relational technologies • Champion industry best practices through technical thought leadership content, including blogs, white papers, and reference architectures • Present at key industry events including AWS re:Invent, AWS Summit, and other conferences • Educate customers on AWS value proposition for data management • Provide feedback to AWS product teams on customer specific requirements and act as primary point of contact for urgent customer issues in your technical specialty • Stay current with emerging trends in the Database, Analytics, and Generative Artificial Intelligence technologies to help customers innovate and maintain competitive advantage • Travel approximately 25% on average, mostly in the US, supporting customer and stakeholder needs About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience - Knowledge of software development tools and methodologies - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Deep knowledge and experience with at least one commercial or open source relational database (e.g. Oracle, SQL Server, PostgreSQL, MySQL), or non-relational database (e.g. MongoDB, Cassandra, DynamoDB) Preferred Qualifications: - 5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities - Experience in a technical role within a sales organization - Experience architecting/operating solutions built on AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually", "summaryDescription" : "Sr. Specialist Solutions Architect, Databases, US Specialist Solutions Architects at Amazon Web Services, Inc.. Skills: Database architecture, AWS services, Customer solutions. Design solution architectures. Collaborate with customers and partners", "postedDate" : "2026-06-13T16:20:40.271", "createdAt" : "2026-06-13T16:20:40.271", "lastUpdated" : "2026-06-15T08:17:50.718", "ingestTimestamp" : "2026-06-13T16:20:40.271", "mongoId" : "69c94a779bc74574cbbb3fec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3198529/apply", "salaryAnnualMin" : 153600, "salaryAnnualMax" : 207800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Database migration", "Solution design", "Technical sales support", "Proof-of-concept projects", "Technical workshops", "Reference architectures", "Database architecture", "AWS services", "Customer solutions", "Solution architecture", "Cloud transformation", "Digital innovation", "Data management", "Database solutions", "Database services", "Relational technologies", "Non-relational technologies", "Cloud computing", "Generative Artificial Intelligence" ], "skillCount" : 19, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2a50af74d8ee00a05f38b6", "title" : "Lead Solutions Consultant - US", "company" : "Perk", "industry" : "Sales", "salary" : { "min" : 140500.0, "max" : 165000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Chicago", "locations" : [ "Chicago" ], "certifications" : [ "CPA", "CMA" ], "timestamp" : "2026-06-14T02:15:09.896", "fingerprint" : "cdbb80d415c23970da66de75c6c1f7326c3f842a0c10b690c648808cc5fa4879", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/perk/cbdc07f0-ee67-4b2c-b1e6-9d4f6c6b53fa/application", "externalId" : "cbdc07f0-ee67-4b2c-b1e6-9d4f6c6b53fa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "APIs, SFTP, SSO", "professionalSkills" : [ "Spend management", "Accounting processes", "P2P automation", "T&E", "Corporate cards", "Financial controls", "Shared service operations", "Enterprise architecture", "Solution design", "Value selling" ], "hardSkillsList" : [ "Solution selling", "Deal coaching", "Architectural discussions" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Solution selling", "level" : "intermediate" }, { "name" : "Deal coaching", "level" : "intermediate" }, { "name" : "Architectural discussions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Spend management, Solutions Consulting, Enterprise architecture", "majorSkillsList" : [ "Spend management", "Solutions Consulting", "Enterprise architecture" ], "coreResponsibilities" : "Lead solution strategy on pursuits, Translate requirements into designs, Develop reusable solution patterns, Serve as senior SC presence, Lead onboarding and coaching, Build SC playbook, Run whiteboarding sessions, Act as internal SME, Lead architectural discussions, Partner with Product and Engineering", "teamCollaboration" : "Partner with Sales; Liaise with Product; Voice of NAM customers", "projectManagementSkills" : [ "Solution strategy", "Solution design" ], "domainKnowledge" : "Spend management; Accounting processes; P2P / AP automation; T&E; Corporate cards; Financial controls; Shared service operations; Enterprise ERPs; Cloud ERP; On-premise ERP; Data residency", "domainList" : [ "spend-management", "accounting-processes", "p2p-ap-automation", "t-e", "corporate-cards", "financial-controls", "shared-service-operations", "enterprise-erps", "cloud-erp", "on-premise-erp", "data-residency" ], "domainSpecificKnowledge" : [ "Spend management", "Accounting processes", "P2P / AP automation", "T&E", "Corporate cards", "Financial controls", "Shared service operations", "Enterprise ERPs", "Cloud ERP", "On-premise ERP", "Data residency" ], "toolProficiency" : [ "SAP S/4HANA", "Oracle NetSuite", "Microsoft Dynamics", "Workday" ], "communicationSkills" : "Executive presentations", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "8–12 years in Sales Engineering, 3 years in senior/lead/mentoring capacity, Spend management SaaS experience required, P2P SaaS experience required, Office of the CFO SaaS experience required, Enterprise ERP landscapes expertise, Integration patterns expertise, Present value to CFOs/Controllers/CIOs, Partner with AEs to drive deals", "qualificationsPreferred" : "Prior career as finance practitioner, CPA or CMA credential, Experience scaling SC function", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we’re on a mission to power real work, with real impact. We’re trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling, and Fabletics, and we’re tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem http://www.perk.com/shadow-work-report. Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work. At Perk, we’re driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you’re excited about having a real impact and shaping how millions of people experience work, we’d love you on the team. Visit www.perk.com http://www.perk.com to learn more. About the Role As Perk's foundational Lead Solutions Consultant for North America (NAM), you will be the regional spend management subject matter expert, leading technical and commercial aspects for strategic pursuits. You will define the SC team's operating model as we scale. You will lead complex enterprise opportunities, partner with Sales, and liaise with Product. You will establish the discovery, demo, and solution design playbook. You are a spend management, accounting, and financial processes expert with deep knowledge of enterprise ERPs, able to lead architectural discussions with customer IT and finance. You have a proven track record of connecting product capabilities to C-level financial priorities to sell value. What You'll Do I. Lead Solution Strategy & Design - Lead solution strategy on Perk's most strategic and complex NAM pursuits, from discovery through technical close. - Translate complex finance and operational requirements into scalable solution designs that align with accounting best practices, financial controls, and audit requirements. - Develop reusable solution patterns and reference architectures the wider SC team can deploy across the region. II. Team Elevation & Mentorship - Serve as the senior SC presence in NAM, raising the technical and commercial bar across the team. - Lead onboarding, demo certification, and continuous coaching for the Solutions Consulting team. - Build and maintain the NAM SC playbook — discovery frameworks, demo libraries, and competitive battlecards. - Run regular whiteboarding and deal-coaching sessions to develop the team's solution selling skills. III. Enterprise Architecture Expertise - Act as the internal subject matter expert on complex customer setups, including multi-entity ERP environments, shared service center operations, and global rollouts. - Lead architectural discussions with enterprise IT, integration, and security stakeholders - comfortable across cloud and on-premise ERP, APIs, middleware, SFTP, SSO, and data residency considerations. - Partner with Product and Engineering as the voice of NAM customers, surfacing patterns, gaps, and roadmap input from the field. What You'll Bring - Experience: 8–12 years in Sales Engineering or Solutions Consulting for complex B2B SaaS, with at least 3 years in a senior, lead, or mentoring capacity. - Domain Expertise: Deep, hands-on understanding of enterprise accounting processes, P2P / AP automation, T&E, corporate cards, financial controls, and shared service operations. Spend management, P2P, or Office of the CFO SaaS experience required. - ERP & Integration Fluency: Demonstrated expertise across enterprise ERP landscapes (SAP S/4HANA, Oracle NetSuite, Microsoft Dynamics, Workday) and integration patterns (REST/SOAP APIs, iPaaS/middleware, SFTP, event-driven architectures). - Strategic Mindset: Track record of not just executing deals but defining solution consulting methodologies, building enablement, and improving team performance at scale. - Executive Presence: Confident presenting value to CFOs, Controllers, and CIOs at Global 2000 and high-growth enterprises across North America. - Sales Instinct: Genuine commercial mindset — you partner with AEs to drive deals, not just respond to them. Nice to Have - Prior career as a finance practitioner (controller, FP&A, AP manager) before moving into pre-sales. - CPA, CMA, or equivalent accounting credential. - Experience scaling a Solutions Consulting function in a high-growth SaaS environment. What we offer - Receive competitive compensation and equity ownership in Perk - Rest and recharge with our generous allocation of 20 vacation days and 12 public holidays - Enjoy the flexibility of three medical plans to choose from, with company contributions and an HSA when enrolling in an HDHP medical plan - Take control of your physical health with additional comprehensive benefit plans, covering dental, vision and Wellhub’s gym subscription from your start date - Rest assured that you’re covered by life and disability policies from your start date, with options to add extra protection through voluntary buy-up plans - Plan for your future with our 401(k) plan with company matching contributions - Care for your furry friends through partner discounts on pet insurance - Join our unforgettable Perk events, including our spectacular annual summer party - Always feel supported with Spring Health, our market-leading wellbeing partner, providing fast, comprehensive access to 12x therapy and 12x coaching sessions for you and your loved ones - Focus on your family with 12-16 weeks’ paid parental leave - Contribute to your community with 16 paid hours per year to spend volunteering for your dearest charitable causes - Broaden your horizons with up to 20 \"Work from Anywhere\" days per year - Follow your passions and take a four-week, fully paid sabbatical once you reach 5 years - Let us help you move to one of our hubs with relocation support Compensation Compensation for this role is a combination of salary, commissions, and stock options. The base salary range is $140,500 - $165,000, and the total on-target commission is $45,000. The commission structure will be tied to achieving revenue & retention targets AI at Perk AI is embedded in how we work across every function. The tools you'll use day-to-day are AI-enabled so you can move faster and spend more time on the work that matters. In practice, that means using AI to research and prioritise accounts, draft and refine outreach, handle customer interactions more effectively, synthesise information, and cut through shadow work - the invisible tasks that pull people away from the work only they can do - so you can focus on relationships and outcomes. We don't expect you to be an AI expert, but we do expect you to be curious and intentional about it. The bar is judgment: knowing when AI makes your work better, when to verify what it produces, and when to rely on your own expertise instead. We'll ask about how you use AI in your interviews, not to test tool knowledge, but to understand how you think about it. That reflects how we work every day. How We Work At Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work. For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume. Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We’re an equal opportunity employer, which means you’re welcome at Perk regardless of how you look, where you’re from, or anything else that makes you, well, you. Protect Yourself from Recruitment Scams All official communication from Perk will always come from email addresses ending in @perk.com http://perk.com or @externalperk.com http://externalperk.com, our verified social media channels, or recruiters listed on our official LinkedIn page. We will never ask you to pay for equipment, training, or fees, request sensitive personal information such as bank details early in the process, or communicate through unofficial apps like WhatsApp, Telegram, or Signal. If you receive a message claiming to be from Perk that seems suspicious, please do not respond. Forward it to security [at] perk .com, and we will confirm whether it is legitimate.", "summaryDescription" : "Lead Solutions Consultant - US at Perk. Skills: Spend management, Solutions Consulting, Enterprise architecture. Lead solution strategy on pursuits. 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Product managers; Engineers; Marketing teams", "domainKnowledge" : "EdTech; SaaS; Product analytics", "domainList" : [ "edtech", "saas", "product-analytics" ], "domainSpecificKnowledge" : [ "EdTech", "SaaS", "Product analytics" ], "toolProficiency" : [ "Tableau", "PowerBI", "Snowflake", "Databricks", "Fivetran" ], "communicationSkills" : "Storytelling; Present complex analyses", "continuousLearning" : "Learning and development resources; Professional development tools; Tuition reimbursement", "problemSolvingSkills" : "Analytical rigor", "specialRequirements" : "Background check, Identity verification", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: The Decision Scientist at Instructure will contribute to how data informs strategic decisions across the organization. This is a foundational role within a growing decision science capability, offering the opportunity to apply analytical rigor to meaningful business problems in an EdTech environment. IMPACT OF THE ROLE As a Decision Scientist, you will support data-driven decision-making across Instructure by delivering high-quality analyses and partnering with cross-functional teams. In this role, you will: - Support business impact through data-driven insights. Conduct analyses that uncover opportunities to improve product adoption, customer engagement, and revenue growth using rigorous analytical methods. - Execute experimentation and causal analysis. Support the design and execution of A/B tests and causal inference studies to evaluate the impact of new product features, pricing strategies, and go-to-market initiatives. - Contribute to product and business strategy. Partner with product managers, engineers, and marketing teams to translate business questions into structured analytical frameworks and deliver clear, actionable findings. - Deliver analytical solutions end-to-end. Own the lifecycle of analytical projects — from scoping problems and building models to presenting insights and tracking outcomes. - Apply AI-first thinking. Leverage AI tooling (e.g., Claude, ChatGPT, Glean) to accelerate analysis, improve throughput, and elevate the quality of deliverables. - Communicate insights clearly. Translate analytical findings into recommendations that both technical and non-technical stakeholders can understand and act on. WHAT YOU WILL NEED - Master's degree in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field (PhD is a plus). - 2–4 years of experience in data science, analytics, or a related discipline with demonstrated ability to deliver actionable insights. - Strong understanding of statistical modeling, machine learning fundamentals, and experimental design (A/B testing). - Familiarity with AI tooling (Claude, ChatGPT, Glean) to improve productivity. - Strong proficiency in SQL for data extraction and manipulation. - Proficiency in Python or R for data analysis, modeling, and visualization. - Proficiency in a Business intelligence tool (Tableau, PowerBI... etc.) - Experience working with modern data platforms (e.g., Snowflake, Databricks, Fivetran). - Strong communication and storytelling skills with the ability to present complex analyses clearly. - Experience in SaaS, product analytics, or EdTech environments is a plus. - Ability to work effectively in a fast-paced, cross-functional environment. Get in on all the awesome at Instructure! We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect: - Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success. - Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location. - Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs. - Comprehensive wellness programs and mental health support - Learning and development resources, including professional development tools and tuition reimbursement, to support your growth - The technology and tools you need to do your best work - Motivosity employee recognition program - A culture rooted in inclusivity, support, and meaningful connection We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes. Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate. All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws. Any attempt to misrepresent personal or professional information will result in disqualification.", "summaryDescription" : "Decision Scientist at Instructure. Skills: Data science, Analytics, Machine learning, Experimentation. Support business impact through data-driven insights. Conduct analyses to improve product adoption", "postedDate" : "2026-06-11T20:53:25.048", "createdAt" : "2026-06-11T20:53:25.048", "lastUpdated" : "2026-06-14T21:05:18.602", "ingestTimestamp" : "2026-06-11T20:53:25.048", "mongoId" : "6a2a456b74d8ee00a05d2104", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Experimental design", "A/B testing", "Causal inference", "Data analysis", "Data manipulation", "Data visualization", "Model building", "Outcome tracking", "Data science", "Analytics", "Experimentation", "Product analytics", "EdTech", "SaaS", "Tableau", "PowerBI", "Snowflake", "Databricks", "Fivetran" ], "skillCount" : 21, "jobCategory" : "other", "jobSubcategory" : "general-&-administration", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "EdTech" }, { "id" : "6a30679ef292fd229cfbfb4d", "title" : "Engineering Manager - Revenue Intelligence", "company" : "Cloudbeds", "industry" : "SaaS", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager level Engineering role in Bulgaria, adjusted for the tech industry and remote work." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-16T08:22:21.588", "fingerprint" : "af18050682a1ffae7b471c85c84378a831fc1c3d5beafd63d4157da8a0b68edd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cloudbedsthirdpartyboard/jobs/4706005005", "externalId" : "4706005005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location: Remote How You'll Make an Impact: Cloudbeds is looking for a passionate and experienced Engineering Manager to join our Revenue Intelligence team. This role is crucial for our success, and we will need a top-notch Engineering Manager with an extensive background in developing large-scale systems. Cloudbeds is looking for someone who can lead, manage, coach, and mentor software developers towards delivering timely, high-quality software together with them. Our Revenue Intelligence Team: The Revenue Intelligence team sits at the heart of our Cloudbeds Signals AI platform, connecting hospitality data, pricing science, and hotel operations into a coherent whole. The team blends deep analytical curiosity with genuine empathy for the day‑to‑day realities of revenue managers and hoteliers. This team is dedicated to building and scaling our revenue marketing platform to meet our global customers' diverse needs, unrivaled in the sector. This is an opportunity to work with a company completely transforming the world of travel technology. You will be an essential member of the team as we march toward our goal of powering every lodging business in the world. What You Bring to the Team: Manage a high-performing, agile software team in a rapidly growing, global organization. Be a hands-on manager and be able to contribute to the codebase. Actively participate in coding and development tasks, contributing your expertise and technical skills to ensure the successful implementation of software solutions. Lead by example and be a role model for the team. Conduct regular code reviews to ensure adherence to coding standards, best practices, and maintainable code. Work closely with the team to identify and address technical challenges and ensure high-quality deliverables. Foster a collaborative and inclusive team environment. Promote effective communication, knowledge sharing, and cross-team collaboration to facilitate the successful execution of projects. Set performance expectations and conduct regular performance evaluations for team members. Provide feedback, coaching, and mentorship to support their growth and development. Identify opportunities for process optimization, automation, and efficiency improvements within the software development lifecycle. Implement best practices and establish scalable processes to enhance team productivity. What Sets You Up for Success: 7+ years of backend development experience (e. g. C# or Java) 2 + years of experience managing remote, international backend engineers 1+ years of experience driving AI Coding strategies A passion for delivering value to customers via agile software development. Excellent knowledge of SaaS software technologies, best practices, and design patterns Excellent project management and organizational skills Excellent time management, prioritization, and decision-making skills driving high-impact, rapid, and iterative change in a fast-moving environment Excellent communication, documentation, and presentation skills Experience with coaching and mentorship to elevate team performance Experience with ML Systems, Architectures, and Techniques BS or MS in computer science or a related technical field Bonus Skills to Stand Out: Understanding of SOLID principles and software design patterns Strong Python experience Strong Experience with Postgres or other relational databases Observability and Monitoring experience Experience with Docker, Terraform Experience with AWS Strong Claude Code understanding #LI-IK1 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at cloudbeds.com Company Awards to Check Out! Best All-In-One Hotel Management System | HotelTechAwards (2025) Overall 10 Best Places to Work | HotelTechAwards (2025) Most Loved Workplace® Certified (2024) Top 10 People’s Choice(2024) Deloitte Technology Fast 500 (2024) Discover our Benefits: Remote First, Remote Always PTO in accordance with local labor requirements Monthly Wellness Fridays - enjoy an extra long weekend every month Full Paid Parental Leave Home office stipend based on country of residency Professional development courses in Cloudbeds University Access to professional development, including manager training, upskilling and knowledge transfer. Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE", "summaryDescription" : "Engineering Manager - Revenue Intelligence at Cloudbeds", "postedDate" : "2026-06-15T23:28:29.320", "createdAt" : "2026-06-15T23:28:29.320", "lastUpdated" : "2026-06-16T08:22:21.588", "ingestTimestamp" : "2026-06-15T23:28:29.320", "mongoId" : "6a30679ef292fd229cfbfb4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.98 }, { "id" : "69f2d9944c40e2acd188e8b9", "title" : "Product Development & Commercialization Manager (Machine Tool Spindle)", "company" : "Wealthy Group of Companies LLC", "industry" : "Manufacturing", "salary" : { "min" : 115500.0, "max" : 173000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Product Development & Commercialization Manager in Charlotte, United States, adjusted for manager seniority and the manufacturing industry." }, "location" : "Charlotte, NC", "locations" : [ "Charlotte", "NC" ], "timestamp" : "2026-06-15T03:31:29.974", "fingerprint" : "a4b1a32071504da0367ee1076da60f3bbd3f302cad4327c0ba5fdaa95cbf4b30", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://wealthy-recruiting.breezy.hr/p/b50773fe98cc-product-development-commercialization-manager-machine-tool-spindle", "externalId" : "b50773fe98cc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "A leading specialist in high-precision electro-mechanical spindles, this company has been delivering advanced motor spindle solutions and services since the mid-1990s to global markets. Focused on high-speed, reliable spindles for CNC machines and automated systems, it serves demanding industries i", "summaryDescription" : "Product Development & Commercialization Manager (Machine Tool Spindle) at Wealthy Group of Companies LLC", "createdAt" : "2026-06-13T23:48:16.964", "lastUpdated" : "2026-06-15T03:31:29.974", "ingestTimestamp" : "2026-06-13T23:48:16.964", "mongoId" : "69f2d9944c40e2acd188e8b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 173000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2176c874d8ee00a0c1ae20", "title" : "Manager, Business Intelligence", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, Retail", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce Manager, Business Intelligence roles in Bengaluru, India, adjusted for manager seniority and full-time employment." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T07:39:04.471", "fingerprint" : "02c01d59489931ecf4e5f29450cdf71bd79bc41aee0d0840fe186dc8356d1d2b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438880/apply", "externalId" : "2311498a-1ba3-4de0-834a-6af39631c9db", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "SQL, ETL, Tableau, Quicksight, R, Python, Weka, SAS, Matlab", "professionalSkills" : [ "Business intelligence", "Analytics", "Team management", "Employee development", "Performance management" ], "hardSkillsList" : [ "Data visualization", "Statistical software", "Machine learning software" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical software", "level" : "intermediate" }, { "name" : "Machine learning software", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Business Intelligence, Analytics, Team Leadership", "majorSkillsList" : [ "Business Intelligence", "Analytics", "Team Leadership" ], "coreResponsibilities" : "Lead a team of Business Intelligence Engineers, Build analytics solutions, Generate Prime related insights for India and other, Build scalable self service analytics infrastructure, Build teams, Grow individuals, Co-create Prime strategy for IN, Invest in analytics infrastructure to support growth", "teamCollaboration" : "Core Prime leadership team", "domainKnowledge" : "Prime program; Customer lifecycle management; Trial strategies; Pricing; Program branding; Prime benefits; Member spends; Prime PnL", "domainList" : [ "prime-program", "customer-lifecycle-management", "trial-strategies", "pricing", "program-branding", "prime-benefits", "member-spends", "prime-pnl" ], "domainSpecificKnowledge" : [ "Prime program", "Customer lifecycle management", "Trial strategies", "Pricing", "Program branding", "Prime benefits", "Member spends", "Prime PnL" ], "toolProficiency" : [ "Tableau", "Quicksight" ], "qualificationsBasic" : "7+ years of business intelligence and analytics experience, 5+ years of delivering results managing a business intelligence or analytics team, Experience with SQL, Experience with ETL, Experience with data visualization using Tableau, Quicksight, or similar tools, Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software", "qualificationsPreferred" : "4+ years of working with very large data warehousing environment experience, 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our vision for Prime is to build India’s largest subscription program that is loved by its members, delivers disproportionate value and drives growth of India business. In order to achieve this mission, we are on a multi-year journey to re-imagine Prime program and build a program to meets needs of large diverse customer base in India. Our team is responsible for all aspects of the prime program including customer lifecycle management, plan constructs, trial strategies, pricing, program branding, Prime benefits, member spends and Prime PnL. To this end, we are a multidisciplinary team including product managements, marketing, business development, engineering and analytics. We are a team of builders who love to work backwards from customer, build empathy for their needs and invent products and services that will enrich their lives. Prime team is looking for a Manager, Business Intelligence and Analytics group to lead a team of Business Intelligence Engineers responsible for building analytics solutions and generate Prime related insights for India and other emerging marketplaces. The ideal candidate will be skilled at building scalable self service analytics infrastructure, has experience building teams and growing individuals and is curious and seeks out data to understand the business use cases and impact on Prime. This candidate will be part of core Prime leadership team reporting to Prime leader for India and will be responsible for co-creating Prime strategy for IN and corresponding investments in analytics infrastructure to support this growth. Basic Qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications: - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manager, Business Intelligence at ADCI. Skills: Business Intelligence, Analytics, Team Leadership. Lead a team of Business Intelligence Engineers. Build analytics solutions", "postedDate" : "2026-06-13T18:12:34.567", "createdAt" : "2026-06-13T18:12:34.567", "lastUpdated" : "2026-06-15T07:39:04.471", "ingestTimestamp" : "2026-06-13T18:12:34.567", "mongoId" : "6a2176c874d8ee00a0c1ae20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438880/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data visualization", "Statistical software", "Machine learning software", "Leadership", "Business Intelligence", "Analytics", "Team Leadership", "Business intelligence", "Team management", "Employee development", "Performance management", "Prime program", "Customer lifecycle management", "Trial strategies", "Pricing", "Program branding", "Prime benefits", "Member spends", "Prime PnL", "Tableau", "Quicksight" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176c674d8ee00a0c1ad71", "title" : "Sr. Solutions Architect, US Commercial Midmarket Segment", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 176000.0, "max" : 239000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-15T00:54:07.160", "fingerprint" : "2e3e9086fa050f0b895c832604ebb288edd2098518f6c667b248f35de46c543d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439198/apply", "externalId" : "e854d550-3b8b-487d-a8c1-4a474f16da27", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Generative AI, Agentic AI, Serverless, Analytics, AI/ML", "professionalSkills" : [ "Cloud computing", "Systems engineering", "Infrastructure", "Security", "Networking", "Data analytics", "Business value", "Technical strategy", "Architectural discussions", "AI transformation" ], "hardSkillsList" : [ "Cloud architecture", "Data warehousing", "AI-powered workflows", "Autonomous decision-making", "Multi-agent systems", "Foundation model integration" ], "hardSkills" : [ { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "AI-powered workflows", "level" : "intermediate" }, { "name" : "Autonomous decision-making", "level" : "intermediate" }, { "name" : "Multi-agent systems", "level" : "intermediate" }, { "name" : "Foundation model integration", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Agentic AI, Cloud architecture, SMB solutions", "majorSkillsList" : [ "Generative AI", "Agentic AI", "Cloud architecture", "SMB solutions" ], "coreResponsibilities" : "Drive success building applications, Drive success migrating applications, Formulate technical strategy, Execute technical strategy, Educate customers on AWS value, Lead architectural discussions, Conduct enablement sessions, Capture best practices, Share best practices, Author customer publications, Build deep relationships, Serve as technical liaison", "teamCollaboration" : "SMB account management team; SA community", "domainKnowledge" : "Cloud computing; Generative AI; Agentic AI; Autonomous agents; Foundation models; Responsible AI governance; Serverless architectures; Data analytics; AI/ML", "domainList" : [ "cloud-computing", "generative-ai", "agentic-ai", "autonomous-agents", "foundation-models", "responsible-ai-governance", "serverless-architectures", "data-analytics", "ai-ml" ], "domainSpecificKnowledge" : [ "Cloud computing", "Generative AI", "Agentic AI", "Autonomous agents", "Foundation models", "Responsible AI governance", "Serverless architectures", "Data analytics", "AI/ML" ], "toolProficiency" : [ "Amazon Bedrock", "Amazon Q" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Whitepapers; Blogs; Reference architectures", "innovationCreativity" : "AI-powered innovation", "problemSolvingSkills" : "Technical challenges; Business challenges", "specialRequirements" : "Up to 30% travel", "outcomesObjectives" : "Accelerate customer outcomes; Drive measurable outcomes", "qualificationsBasic" : "8+ years technology domain experience, 3+ years applications/infrastructures experience, 10+ years IT development/consulting experience", "qualificationsPreferred" : "5+ years infrastructure architecture experience, 5+ years database architecture experience, 5+ years networking experience, Experience with end user communities, Experience with developer communities, Experience architecting AWS solutions, Experience operating AWS solutions, Experience managing SMB customers, Experience managing SMB partners, Hands-on Generative AI experience, Hands-on Agentic AI experience, Amazon Bedrock experience, Amazon Q experience, Foundation models experience, Multi-agent frameworks experience, Experience designing AI solutions, Responsible AI governance experience, Modern application development experience, Serverless architectures experience, Data & analytics experience, AI/ML experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and grow. Our team empowers every customer by providing tailored service, compelling technology, and hands-on support. We take the time to understand each customer's unique challenges — from scaling rapidly with limited resources, to modernizing legacy systems, to unlocking new revenue streams through data and AI — then build solutions that accelerate their outcomes. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. As a trusted customer advocate, the Solutions Architect will help Small and Medium Business (SMB) organizations understand best practices around advanced cloud-based solutions, and how to migrate and modernize existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mindshare and broad adoption of AWS within the SMB segment, with a specific focus on how Generative AI and Agentic AI are reshaping how fast-growing businesses operate, compete, and serve their customers. The ability to connect technology with measurable business value is critical to a Solutions Architect. You should have a demonstrated ability to think strategically about business, products, and technical challenges unique to the SMB space, including rapid scalability, cost optimization, security posture maturity, and AI-powered innovation. As SMB customers move from experimenting with GenAI to deploying autonomous agents across their operations, you will help them navigate that shift with confidence and speed. Key job responsibilities * Drive success in building and migrating SMB customer applications onto AWS, including web and mobile platforms, data warehouses, line-of-business applications, and AI-powered workflows that enable autonomous decision-making. * As part of the SMB account management team, formulate and execute a technical strategy aligned to SMB customers' growth goals, with a deliberate focus on GenAI and Agentic AI adoption that drives measurable outcomes across sales, operations, and customer engagement functions. * Educate customers on AWS's value for SMB workloads and lead architectural discussions to ensure solutions are designed for resilience, cost efficiency, security, and rapid innovation — including multi-agent systems and foundation model integrations tailored to SMB use cases. * Conduct one-to-few and one-to-many enablement sessions covering GenAI-powered productivity, agentic automation for business operations, serverless and analytics modernization, and AI-driven customer experience. Capture and share best practices across the SA community, including reusable agentic AI frameworks and responsible AI governance patterns. * Author customer-facing publications such as whitepapers, blogs, and reference architectures emphasizing GenAI and Agentic AI for SMB customers. Build deep relationships with senior technical and executive stakeholders to accelerate their cloud and AI transformation journeys, and serve as a technical liaison advocating for SMB-specific product needs and roadmap priorities. This role requires travel, including out of state, up to 30% of the time. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - 5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities - Experience architecting/operating solutions built on AWS - Experience managing relationships with SMB customers and partners - Hands-on experience with Generative AI and Agentic AI technologies on AWS (e.g., Amazon Bedrock, Amazon Q, foundation models, multi-agent frameworks) - Experience designing AI-powered solutions that deliver measurable business outcomes, including responsible AI governance patterns - Experience in modern application development, serverless architectures, data & analytics, and AI/ML Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually", "summaryDescription" : "Sr. Solutions Architect, US Commercial Midmarket Segment at Amazon Web Services, Inc.. Skills: Generative AI, Agentic AI, Cloud architecture, SMB solutions. Drive success building applications. Drive success migrating applications", "postedDate" : "2026-06-13T10:16:02.474", "createdAt" : "2026-06-13T10:16:02.474", "lastUpdated" : "2026-06-15T00:54:07.160", "ingestTimestamp" : "2026-06-13T10:16:02.474", "mongoId" : "6a2176c674d8ee00a0c1ad71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439198/apply", "salaryAnnualMin" : 176000, "salaryAnnualMax" : 239000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cloud architecture", "Data warehousing", "AI-powered workflows", "Autonomous decision-making", "Multi-agent systems", "Foundation model integration", "Generative AI", "Agentic AI", "SMB solutions", "Cloud computing", "Systems engineering", "Infrastructure", "Security", "Networking", "Data analytics", "Business value", "Technical strategy", "Architectural discussions", "AI transformation", "Autonomous agents", "Foundation models", "Responsible AI governance", "Serverless architectures", "AI/ML", "Amazon Bedrock", "Amazon Q" ], "skillCount" : 26, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a309755f292fd229c0db971", "title" : "AI Solutions Manager", "company" : "Arize AI", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Solutions Manager in San Francisco, adjusted for mid-seniority and technology industry." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T12:18:11.387", "fingerprint" : "c122a7f54d99edf052b17a62e5a91f548f8323e9c20e2228cbdd19ec90661049", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/arizeai/jobs/6030903004", "externalId" : "6030903004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Account management", "Sales cycle management", "Business acumen" ], "hardSkillsList" : [ "Customer onboarding", "Customer enablement", "Account planning" ], "hardSkills" : [ { "name" : "Customer onboarding", "level" : "intermediate" }, { "name" : "Customer enablement", "level" : "intermediate" }, { "name" : "Account planning", "level" : "intermediate" } ], "majorSkills" : "Customer Success, AI/ML adoption, Account growth", "majorSkillsList" : [ "Customer Success", "AI/ML adoption", "Account growth" ], "coreResponsibilities" : "Build and deepen relationships with AI/ML practitioners and, Foster adoption across customer accounts, Uncover new use cases across customer accounts, Drive expanded usage across customer accounts, Conduct discovery with customers, Understand customer goals, Share the Arize vision, Demonstrate product capabilities, Propose tailored solutions, Collaborate with technical teams, Address complex customer needs, Ensure smooth implementation, Advise on technical best practices, Run workshops with customers, Run training sessions with customers, Run business reviews, Demonstrate account value, Identify areas of opportunity, Strengthen customer partnerships, Identify new growth opportunities, Develop new growth opportunities, Analyze customer usage, Target high-value needs, Own expansion sales cycle, Own renewal sales cycle, Maintain rigorous hygiene in CRM, Support a high-performing revenue team", "teamCollaboration" : "Solutions Engineering; Application Engineering", "domainKnowledge" : "AI/ML applications; Generative AI", "domainList" : [ "ai-ml-applications", "generative-ai" ], "domainSpecificKnowledge" : [ "AI/ML applications", "Generative AI" ], "toolProficiency" : [ "CRM" ], "communicationSkills" : "Articulating observations", "specialRequirements" : "Based in San Francisco Bay area", "outcomesObjectives" : "Ensure customers achieve real-world impact; Drive customer adoption; Manage customers through renewal cycles; Ensure customers are getting value", "qualificationsBasic" : "2+ years Customer Success Manager in SaaS, Proven track record driving expansion and upsell revenue, Ability to thrive in limited process environments, Exceptional organizational skills, Ability to prioritize and manage multiple customer relationships, Proven ability to demo technical products, Translate product value into tailored customer solutions", "qualificationsPreferred" : "Selling AI/ML or data infrastructure software to VP and C-suite stakeholders, Familiarity with AI/ML workflows, Familiarity with GenAI technologies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our SMB and Mid-Market customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area. The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. As an AI Solutions Manager, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our SMB and Mid-Market customers. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and ensuring your customers are getting value out of the partnership by running effective workshops and enablement sessions, and working with the Solutions Engineering team on complex implementations. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies. What You’ll Do Build and deepen relationships with AI/ML practitioners and executives to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. Collaborate with technical teams, including Solutions Engineering and Application Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. Run workshops and training sessions with customers during onboarding. Run business reviews to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. Proactively identify and develop new growth opportunities by analyzing customer usage and targeting high-value needs across your customer base. Own the full expansion and renewal sales cycle across your book of business. Maintain rigorous hygiene in CRM and internal tooling to support a high-performing revenue team. What We’re Looking For 2+ years of experience as a Customer Success Manager in SaaS. Proven track record of driving expansion and upsell revenue within SMB and Mid-Market accounts, bonus for selling AI/ML or data infrastructure software to VP and C-suite stakeholders. A self-starter and customer-first mindset with the ability to thrive in limited process environments. Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively. Strong communication skills for articulating observations and fostering collaboration across teams. Proven ability to demo technical products and translate their value into tailored customer solutions. A strong team player who values collaboration and collective success. Bonus: Familiarity with AI/ML workflows or GenAI technologies. The estimated annual salary and variable compensation for this role is between $140,000 to $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup", "summaryDescription" : "AI Solutions Manager at Arize AI. Skills: Customer Success, AI/ML adoption, Account growth. Build and deepen relationships with AI/ML practitioners and. Foster adoption across customer accounts", "postedDate" : "2026-06-16T03:15:37.523", "createdAt" : "2026-06-16T03:15:37.523", "lastUpdated" : "2026-06-16T12:18:11.387", "ingestTimestamp" : "2026-06-16T03:15:37.523", "mongoId" : "6a309755f292fd229c0db971", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Customer onboarding", "Customer enablement", "Account planning", "Customer Success", "AI/ML adoption", "Account growth", "Account management", "Sales cycle management", "Business acumen", "AI/ML applications", "Generative AI", "CRM" ], "skillCount" : 12, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "69c94a779bc74574cbbb3fee", "title" : "Sr. Specialist Solutions Architect, Databases, US Specialist Solutions Architects", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 176000.0, "max" : 239000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-15T02:44:49.544", "fingerprint" : "03ab62bd33e0926c08cd94cb898258916a2dd20473737336b88452ff3be7eb03", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3198531/apply", "externalId" : "ae2181ca-57c0-4b42-8769-935c432fdbc7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Oracle, SQL Server, NoSQL, PostgreSQL, MySQL, MariaDB, Cassandra, DynamoDB, RDS, Aurora-PostgreSQL, Aurora-MySQL, Generative Artificial Intelligence", "professionalSkills" : [ "Solution architecture", "Technical sales", "Cloud transformation", "Digital innovation" ], "hardSkillsList" : [ "Database architecture", "Application migration", "Data management" ], "softSkillsList" : [ "Thought leadership" ], "hardSkills" : [ { "name" : "Database architecture", "level" : "intermediate" }, { "name" : "Application migration", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Thought leadership" } ], "majorSkills" : "Database architecture, AWS database services, Application migration", "majorSkillsList" : [ "Database architecture", "AWS database services", "Application migration" ], "coreResponsibilities" : "Design solution architectures, Collaborate with customers and partners, Engage with Database Specialists Sellers, Support sales activities, Develop proof-of-concept projects, Deliver technical workshops, Support implementation projects, Migrate applications from on-premise databases, Design future state data services, Develop reference architectures, Provide deep technical expertise, Provide strategic guidance, Collaborate with specialist sales teams, Collaborate with marketing teams, Collaborate with product teams, Serve as trusted technical advisor, Lead architectural reviews, Lead workshops, Champion industry best practices, Create technical thought leadership content, Present at industry events, Educate customers on AWS value, Provide feedback to product teams, Act as primary point of contact, Stay current with emerging trends", "teamCollaboration" : "Cross-functional teams; Customer engagements; Partner engagements", "domainKnowledge" : "Database services; Data management; Cloud computing; Relational technologies; Non-relational technologies; Managed databases; Analytics technologies; Generative AI technologies", "domainList" : [ "database-services", "data-management", "cloud-computing", "relational-technologies", "non-relational-technologies", "managed-databases", "analytics-technologies", "generative-ai-technologies" ], "domainSpecificKnowledge" : [ "Database services", "Data management", "Cloud computing", "Relational technologies", "Non-relational technologies", "Managed databases", "Analytics technologies", "Generative AI technologies" ], "communicationSkills" : "Technical deep dives; Presenting; Educating", "documentationSkills" : "White papers; Reference architectures", "continuousLearning" : "Stay current with emerging trends", "innovationCreativity" : "Innovate and expand in the cloud; Craft innovative solutions; Do big new things faster; Digital innovation", "problemSolvingSkills" : "Solve complex challenges; Scale mechanisms", "specialRequirements" : "25% travel", "outcomesObjectives" : "Accelerate customer success; Grow customer adoption", "qualificationsBasic" : "8+ years specific technology domain areas, 3+ years design, implementation, or consulting, 10+ years IT development or implementation/consulting", "qualificationsPreferred" : "5+ years infrastructure architecture, 5+ years database architecture, 5+ years networking experience, Experience working with end user or developer communities, Experience in a technical role within a sales organization, Experience architecting/operating solutions built on AWS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Do you like to solve the most complex and high scale data management challenges in the world today? Do you like to build scaling mechanisms as a force multiplier? Do you like to engage with all levels of customer personas, from engineering to C-level executives? As a Database Specialist Solutions Architect (SA) you will design complete solution architectures based on AWS database services. Have you developed complex applications? Are you an experienced Oracle/SQL Server/NoSQL Platform Specialist? How about PostgreSQL, MySQL, MariaDB, Casandra, or DynamoDB? Have you migrated Applications from one Database Engine to another? Have you designed and architected complex database solutions incorporating both relational and non-relational technologies? Would you like a career that gives you opportunities to help organizations understand and use cloud computing web services to do big new things faster, at lower cost? As a Database Specialist SA you will collaborate with our customers and partners on key engagements. You will engage with Database Specialists Sellers and other stakeholders supporting sales activities such as customer discovery, ideating, white board solutioning, presenting, educating, leading technical deep dives, and other technical sales support activities for an assigned US division and territory. You will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects in order to develop or migrate applications from on-premise databases like Oracle/SQL Server to AWS, eg. RDS, Aurora-PostgreSQL/MySQL, DynamoDB or other database services on AWS. You will focus on customer solutions that depend on databases, designing and deploying future state data services and reference architectures to enable our customers to make the most of AWS managed databases. Key job responsibilities • Provide AWS customers with deep technical expertise and strategic guidance to allow them to effectively use AWS Database Services across their business, both tactically and strategically • Collaborate with AWS specialist sales, marketing, and product teams to develop innovative solutions for customers' most challenging business problems • Serve as a trusted technical advisor to customers' executives, helping them navigate cloud transformation and digital innovation • Lead architectural reviews and workshops focused on common use cases, industry best practices, helping customers jump-start their AWS migration journey • Design and architect complex database solutions based on relational or non-relational technologies • Champion industry best practices through technical thought leadership content, including blogs, white papers, and reference architectures • Present at key industry events including AWS re:Invent, AWS Summit, and other conferences • Educate customers on AWS value proposition for data management • Provide feedback to AWS product teams on customer specific requirements and act as primary point of contact for urgent customer issues in your technical specialty • Stay current with emerging trends in the Database, Analytics, and Generative Artificial Intelligence technologies to help customers innovate and maintain competitive advantage • Travel approximately 25% on average, mostly in the US, supporting customer and stakeholder needs About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience - Knowledge of software development tools and methodologies - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Deep knowledge and experience with at least one commercial or open source relational database (e.g. Oracle, SQL Server, PostgreSQL, MySQL), or non-relational database (e.g. MongoDB, Cassandra, DynamoDB) Preferred Qualifications: - 5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities - Experience in a technical role within a sales organization - Experience architecting/operating solutions built on AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, AZ, TEMPE - 153,600.00 - 207,800.00 USD annually USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually", "summaryDescription" : "Sr. Specialist Solutions Architect, Databases, US Specialist Solutions Architects at Amazon Web Services, Inc.. Skills: Database architecture, AWS database services, Application migration. Design solution architectures. Collaborate with customers and partners", "postedDate" : "2026-06-13T06:40:01.354", "createdAt" : "2026-06-13T06:40:01.354", "lastUpdated" : "2026-06-15T02:44:49.544", "ingestTimestamp" : "2026-06-13T06:40:01.354", "mongoId" : "69c94a779bc74574cbbb3fee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3198531/apply", "salaryAnnualMin" : 176000, "salaryAnnualMax" : 239000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Database architecture", "Application migration", "Data management", "Thought leadership", "AWS database services", "Solution architecture", "Technical sales", "Cloud transformation", "Digital innovation", "Database services", "Cloud computing", "Relational technologies", "Non-relational technologies", "Managed databases", "Analytics technologies", "Generative AI technologies" ], "skillCount" : 16, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30764ef292fd229c01827c", "title" : "AI Solutions Manager", "company" : "Arize AI", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Solutions Manager in New York, adjusted for mid-seniority and technology industry." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T12:18:27.677", "fingerprint" : "c88a6fe91148e7a8be85683166a75826dd4c3752bc15475150a7a3ee2a798089", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/arizeai/jobs/6030902004", "externalId" : "6030902004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Account management", "Solution proposal", "Technical best practices" ], "hardSkillsList" : [ "Product demonstration", "Customer onboarding", "Account planning" ], "hardSkills" : [ { "name" : "Product demonstration", "level" : "intermediate" }, { "name" : "Customer onboarding", "level" : "intermediate" }, { "name" : "Account planning", "level" : "intermediate" } ], "majorSkills" : "Customer Success, AI/ML adoption, Customer relationships", "majorSkillsList" : [ "Customer Success", "AI/ML adoption", "Customer relationships" ], "coreResponsibilities" : "Build and deepen relationships with AI/ML users, Foster adoption, Uncover new use cases, Drive expanded usage across customer accounts, Conduct discovery with customers, Understand customer goals, Share the Arize vision, Demonstrate product capabilities, Propose tailored solutions, Collaborate with technical teams, Address complex customer needs, Ensure smooth implementation, Advise on technical best practices, Run workshops and training sessions, Run QBRs, Demonstrate account value, Identify areas of opportunity, Strengthen customer partnerships, Monitor product usage across accounts, Gauge account health, Identify upsell opportunities, Align on customer health strategies, Relay customer feature requests, Advocate for customer needs, Ensure support teams are aligned", "teamCollaboration" : "Customer Success Engineering; Account Management teams; Executive teams; Support teams", "projectManagementSkills" : [ "Account plan execution" ], "domainKnowledge" : "AI/ML applications; Generative AI", "domainList" : [ "ai-ml-applications", "generative-ai" ], "domainSpecificKnowledge" : [ "AI/ML applications", "Generative AI" ], "communicationSkills" : "Articulating observations", "problemSolvingSkills" : "Troubleshoot AI systems; Optimize AI systems", "specialRequirements" : "Based in NYC metro area/EST", "outcomesObjectives" : "Drive customer adoption; Manage customers through renewal cycles; Achieve customer goals; Ensure models achieve business outcomes; Improve AI usage", "qualificationsBasic" : "3+ years Customer Success Manager in SaaS, Ability to prioritize and manage multiple customer relationships", "qualificationsPreferred" : "Familiarity with AI/ML workflows, Familiarity with GenAI technologies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. While we are a remote-first company, the nature of this role requires candidates to be based in the New York City metro area/EST time zone. The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. As an AI Solutions Manager, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies. What You’ll Do Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management. Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. Run workshops and training sessions with customers during onboarding and new functionality Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. Proactively monitor product usage across your accounts to further gauge account health Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies. Effectively relay customer feature requests to internal teams and advocate for customer needs. Ensure support teams are aligned with customer requests and priorities. What We’re Looking For 3+ years of experience as a Customer Success Manager in SaaS. A self-starter mindset with the ability to thrive in limited process environments. Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively. Strong communication skills for articulating observations and fostering collaboration across teams. Proven ability to demo technical products and translate their value into tailored customer solutions. Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results. A strong team player who values collaboration and collective success. Bonus: Familiarity with AI/ML workflows or GenAI technologies. The estimated annual salary and variable compensation for this role is between $140,000 to $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup", "summaryDescription" : "AI Solutions Manager at Arize AI. Skills: Customer Success, AI/ML adoption, Customer relationships. Build and deepen relationships with AI/ML users. Foster adoption", "postedDate" : "2026-06-16T01:17:23.223", "createdAt" : "2026-06-16T01:17:23.223", "lastUpdated" : "2026-06-16T12:18:27.677", "ingestTimestamp" : "2026-06-16T01:17:23.223", "mongoId" : "6a30764ef292fd229c01827c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product demonstration", "Customer onboarding", "Account planning", "Customer Success", "AI/ML adoption", "Customer relationships", "Account management", "Solution proposal", "Technical best practices", "Account plan execution", "AI/ML applications", "Generative AI" ], "skillCount" : 12, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c5f7c74d8ee00a08ec5a7", "title" : "Associate Solutions Engineer - Commercial", "company" : "Talkdesk", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Associate Solutions Engineer in the US SaaS industry, adjusted for remote work and entry-level experience." }, "location" : "USA (Remote)", "locations" : [ "USA (Remote)" ], "timestamp" : "2026-06-15T00:06:21.816", "fingerprint" : "9371b33fe627e94ed922aa6c640d6a6239d290f682ea92bbba8e82bc0c8f0605", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/talkdesk2/jobs/7769617", "externalId" : "7769617", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AI Platform, AI, Automation, Integrations, Enterprise software", "professionalSkills" : [ "Consultative selling", "Customer problem-solving", "Customer experience transformation", "Business acumen", "Presentation skills", "Consulting skills", "Technical sales" ], "hardSkillsList" : [ "Customer service workflows", "Reporting", "Workforce engagement", "Technical documentation" ], "softSkillsList" : [ "Curiosity", "Coachability", "Customer-focused" ], "hardSkills" : [ { "name" : "Customer service workflows", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Workforce engagement", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Coachability" }, { "name" : "Customer-focused" } ], "majorSkills" : "Customer experience, AI, Contact center technology, Consultative selling", "majorSkillsList" : [ "Customer experience", "AI", "Contact center technology", "Consultative selling" ], "coreResponsibilities" : "Partner with Solutions Engineers and Account Executives, Support customer discovery, Support product demonstrations, Support technical sales activities, Understand customer business challenges, Understand contact center operations, Understand technical environments, Understand transformation goals, Assist in preparing product demonstrations, Assist in delivering product demonstrations, Show how Talkdesk solves customer problems, Show how Talkdesk improves customer experience, Show how Talkdesk drives business outcomes, Support creation of customer demos, Support creation of customer-specific use cases, Support creation of presentations, Support creation of follow-up materials, Support creation of technical documentation, Help document customer requirements, Help document business objectives, Help document technical considerations, Help document integration needs, Help document risks, Help document next steps, Develop foundational knowledge of Talkdesk solutions, Collaborate with Solutions Engineering, Collaborate with AI Solutions Engineering, Collaborate with Value Advisory, Collaborate with Enterprise Architecture, Collaborate with Partner Engineering, Collaborate with Proposal Management, Collaborate with Demo Engineering, Collaborate with Product, Collaborate with Sales, Collaborate with Customer Success, Support high-quality customer engagements, Participate in customer meetings, Participate in discovery sessions, Participate in demos, Participate in AI workshops, Participate in internal deal reviews, Participate in enablement sessions, Participate in team learning activities, Build confidence explaining technical concepts, Support competitive positioning, Learn to differentiate Talkdesk solutions, Contribute to internal enablement, Contribute to demo assets, Contribute to reusable content, Contribute to knowledge sharing, Contribute to team best practices, Develop understanding of AI impact, Develop understanding of automation impact, Develop understanding of enterprise integrations impact, Continuously develop technical skills, Continuously develop presentation skills, Continuously develop consulting skills, Continuously develop business acumen skills, Continuously develop customer-facing skills, Travel to customer meetings, Travel to internal events, Travel to team sessions", "teamCollaboration" : "Solutions Engineers; Account Executives; Customer Success; Product Management; Engineering; Marketing; Value Advisory; Enterprise Architecture; AI Solutions Engineering; Partner Engineering; Proposal Management; Demo Engineering; Sales; Cross-functional teams", "domainKnowledge" : "Cloud contact center technology; AI-powered customer experience; Automation; Integrations; Enterprise software; Consultative selling; Customer experience automation; AI Agents", "domainList" : [ "cloud-contact-center-technology", "ai-powered-customer-experience", "automation", "integrations", "enterprise-software", "consultative-selling", "customer-experience-automation", "ai-agents" ], "domainSpecificKnowledge" : [ "Cloud contact center technology", "AI-powered customer experience", "Automation", "Integrations", "Enterprise software", "Consultative selling", "Customer experience automation", "AI Agents" ], "toolProficiency" : [ "Salesforce", "Zendesk", "ServiceNow", "Amazon Connect", "Genesys", "NICE", "Five9" ], "communicationSkills" : "Customer communication; Technical communication; Presentation skills; Business-oriented communication", "continuousLearning" : "Training; Mentorship; Certifications; Hands-on experience", "problemSolvingSkills" : "Problem-solving; Connect customer needs to solutions", "specialRequirements" : "Travel as needed", "outcomesObjectives" : "Improve customer experience; Modernize contact center operations; Accelerate business outcomes; Drive measurable outcomes; Rids world of bad customer experiences", "qualificationsBasic" : "Bachelor's degree in technical, business, data, communications, or related, Equivalent practical experience, Interest in technology, Interest in customer experience, Interest in SaaS, Interest in artificial intelligence, Interest in cloud software, Interest in contact center solutions, Interest in digital transformation, Excellent communication skills, Excellent listening skills, Excellent interpersonal skills, Ability to explain ideas clearly, Adapt communication style for different audiences, High level of curiosity, High level of coachability, High level of initiative, Willingness to learn, Problem-solving skills, Ability to connect customer needs to potential solutions, Ability to work effectively in a fast-paced, collaborative environment, Organizational skills, Attention to detail, Ability to manage multiple priorities, Demonstrated professionalism, Demonstrated accountability, Demonstrated responsiveness, Comfortable learning and working with technology platforms, Comfortable learning and working with software applications, Comfortable learning and working with data-driven tools, Comfortable learning and working with AI-enabled solutions", "qualificationsPreferred" : "AI experience strongly preferred, Presentation skills or desire to develop, Go-getter attitude, Internship or academic project in AI development, Internship or academic project in sales engineering, Internship or academic project in consulting, Internship or academic project in customer success, Internship or academic project in technical support, Internship or academic project in product, Internship or academic project in implementation, Internship or academic project in software, Internship or academic project in SaaS, Early professional experience in AI development, Early professional experience in sales engineering, Early professional experience in consulting, Early professional experience in customer success, Early professional experience in technical support, Early professional experience in product, Early professional experience in implementation, Early professional experience in software, Early professional experience in SaaS, Exposure to customer service, Exposure to contact centers, Exposure to CRM systems, Exposure to business intelligence, Exposure to workforce engagement management, Exposure to automation, Exposure to AI-powered applications, Experience presenting to groups, Experience facilitating discussions, Experience explaining technical concepts to non-technical audiences, Familiarity with Salesforce, Familiarity with Zendesk, Familiarity with ServiceNow, Familiarity with Amazon Connect, Familiarity with Genesys, Familiarity with NICE, Familiarity with Five9, Familiarity with other customer experience platforms, Familiarity with other contact center platforms, Interest in developing expertise in AI, Interest in developing expertise in Agentic AI, Interest in developing expertise in automation, Interest in developing expertise in integrations, Interest in developing expertise in analytics, Interest in developing expertise in enterprise architecture, Interest in developing expertise in customer experience transformation", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Role Overview The Associate Solutions Engineer is an early-career technical sales role designed for individuals who are passionate about technology, particularly AI, customer problem-solving, consultative selling, and customer experience transformation. The Solutions Engineering organization serves as the technical and business advisory arm of the Go-to-Market team, helping customers envision, validate, and realize the value of Talkdesk’s platform and AI innovations. Our mission is to bridge customer business challenges with transformative technology solutions that drive measurable outcomes and help Talkdesk fulfill its mission to rid the world of bad customer experiences. As an Associate Solutions Engineer, you will support the Solutions Engineering team in helping prospective and existing customers understand how Talkdesk solutions can improve customer experience, modernize contact center operations, and accelerate business outcomes. You will work closely with experienced Solutions Engineers, Account Executives, Customer Success, Product Management, Engineering, Marketing, Value Advisory, Enterprise Architecture, AI Solutions Engineering, Partner Engineering, Proposal Management, and Demo Engineering. This is a developmental role for high-potential early talent who are eager to build expertise in cloud contact center technology, AI-powered customer experience, automation, integrations, enterprise software, and consultative selling. The ideal candidate is curious, coachable, customer-focused, technically minded, and excited to grow into a trusted technical advisor. Key Responsibilities Partner with Solutions Engineers and Account Executives to support customer discovery, product demonstrations, and technical sales activities. Learn how to understand customer business challenges, contact center operations, technical environments, and transformation goals. Assist in preparing and delivering product demonstrations that show how Talkdesk can solve customer problems, improve customer experience, and drive measurable business outcomes. Support the creation of customer demos, customer-specific use cases, presentations, follow-up materials, and technical documentation. Help document customer requirements, business objectives, technical considerations, integration needs, risks, and next steps throughout the sales cycle. Develop foundational knowledge of Talkdesk solutions including Talkdesk’s AI Platform, cloud contact center technology, customer service workflows,, reporting, integrations, workforce engagement, and automation. Collaborate with Solutions Engineering, AI Solutions Engineering, Value Advisory, Enterprise Architecture, Partner Engineering, Proposal Management, Demo Engineering, Product, Sales, and Customer Success to support high-quality customer engagements. Participate in customer meetings, discovery sessions, demos, AI workshops, internal deal reviews, enablement sessions, and team learning activities. Build confidence in explaining technical concepts in a clear, simple, and business-oriented way. Support competitive positioning by learning how to differentiate Talkdesk solutions in the market. Contribute to internal enablement, demo assets, reusable content, knowledge sharing, and team best practices. Develop an understanding of how AI, automation, and enterprise integrations can transform customer and employee experiences. Continuously develop technical, presentation, consulting, business acumen, and customer-facing skills through training, mentorship, certifications, and hands-on experience. Travel to customer meetings, internal events, and team sessions as needed. Required Qualifications Bachelor’s degree in a technical, business, data, communications, or related field; or equivalent practical experience. AI experience is strongly preferred. Strong interest in technology, customer experience, SaaS, artificial intelligence, cloud software, contact center solutions, or digital transformation. Excellent communication, listening, and interpersonal skills. Ability to explain ideas clearly and adapt communication style for different audiences. Strong presentation skills or a desire to develop into a confident presenter. High level of curiosity, coachability, initiative, and willingness to learn. A go- getter attitude is a must. Strong problem-solving skills and the ability to connect customer needs to potential solutions. Ability to work effectively in a fast-paced, collaborative environment. Strong organizational skills, attention to detail, and ability to manage multiple priorities. Demonstrated professionalism, accountability, and responsiveness with internal and external stakeholders. Comfortable learning and working with technology platforms, software applications, data-driven tools, and AI-enabled solutions. Preferred Qualifications Internship, academic project, or early professional experience in AI development, sales engineering, consulting, customer success, technical support, product, implementation, software, or SaaS. Exposure to customer service, contact centers, CRM systems, business intelligence, workforce engagement management, automation, or AI-powered applications. Experience presenting to groups, facilitating discussions, or explaining technical concepts to non-technical audiences. Familiarity with platforms such as Salesforce, Zendesk, ServiceNow, Amazon Connect, Genesys, NICE, Five9, or other customer experience and contact center platforms is a plus. Interest in developing expertise in AI, Agentic AI, automation, integrations, analytics, enterprise architecture, and customer experience transformation. Pay Range (OTE): $124,000 to $164,000 Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission. Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP). Retirement Benefits: 401(k) plan Paid Time Off: Talkdesk offers an uncapped paid time off program, subject to manager approval and consistent with business needs. Paid Holidays: Talkdesk offers 14 paid holidays each year. Paid Sick Leave: Employees have uncapped paid time off, subject to manager approval and consistent with business needs. Method of Application: Apply online. Application Window: The application window is expected to close at least 5 days from the posting date. The application was posted on 06/10/2026. All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com. Talkdesk is pioneering a new era of Customer Experience Automation (CXA), redefining how the world’s most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success and every voice belongs. Combining the stability of a global leader with the agility of a disruptor, Talkdeskers are empowered with the autonomy to drive meaningful impact, while giving back to the communities and environment around us. Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant™ for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting time to join us as we shape the future of customer experience automation! Work Environment and Physical Requirements: Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.) The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.", "summaryDescription" : "Associate Solutions Engineer - Commercial at Talkdesk. Skills: Customer experience, AI, Contact center technology, Consultative selling. Partner with Solutions Engineers and Account Executives. Support customer discovery", "postedDate" : "2026-06-12T22:14:54.120", "createdAt" : "2026-06-12T22:14:54.120", "lastUpdated" : "2026-06-15T00:06:21.816", "ingestTimestamp" : "2026-06-12T22:14:54.120", "mongoId" : "6a2c5f7c74d8ee00a08ec5a7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Customer service workflows", "Reporting", "Workforce engagement", "Technical documentation", "Curiosity", "Coachability", "Customer-focused", "Customer experience", "AI", "Contact center technology", "Consultative selling", "Customer problem-solving", "Customer experience transformation", "Business acumen", "Presentation skills", "Consulting skills", "Technical sales", "Cloud contact center technology", "AI-powered customer experience", "Automation", "Integrations", "Enterprise software", "Customer experience automation", "AI Agents", "Salesforce", "Zendesk", "ServiceNow", "Amazon Connect", "Genesys", "NICE", "Five9" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "solution-engineering-&-shared-services", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "69e1043a2beec4dd3def1c5a", "title" : "Sr. Solutions Architect, US Enterprise Greenfield", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 153600.0, "max" : 207800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T01:37:22.890", "fingerprint" : "648693df84a5dd3b9befa02651fcb210bf9acc053c460361d930d663fd2e064f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386409/apply", "externalId" : "37564952-8639-4b41-a47a-b01847502169", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Cloud Computing, Software Development, Systems Engineering, Infrastructure, Security, Networking, Data & Analytics", "professionalSkills" : [ "Technical advisor", "Solution design", "Sales strategy" ], "hardSkillsList" : [ "Cloud architecture", "Solution architecture" ], "hardSkills" : [ { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "Solution architecture", "level" : "intermediate" } ], "majorSkills" : "Cloud architecture, Solution design, Customer advocacy", "majorSkillsList" : [ "Cloud architecture", "Solution design", "Customer advocacy" ], "coreResponsibilities" : "Communicate effectively with stakeholders, Participate in architectural discussions, Create cloud solutions, Ensure solutions are designed for cloud, Author AWS customer-facing publications, Contribute to AWS publications, Formulate sales strategy, Execute sales strategy, Exceed revenue objectives, Build deep customer relationships, Enable customers to be cloud advocates, Capture best-practice knowledge, Share best-practice knowledge", "teamCollaboration" : "Partner with AWS Sales; Collaborate with AWS teams; Work with partner network", "domainKnowledge" : "Cloud computing; Energy & Utilities industries", "domainList" : [ "cloud-computing", "energy-utilities-industries" ], "domainSpecificKnowledge" : [ "Cloud computing", "Energy & Utilities industries" ], "communicationSkills" : "Technical advisor; Customer presentations", "documentationSkills" : "Whitepapers; Proof of concepts", "continuousLearning" : "Mentorship; Career growth resources", "innovationCreativity" : "Craft innovative solutions", "problemSolvingSkills" : "Understand customer challenges; Solve problems with technology", "specialRequirements" : "15-20% travel", "outcomesObjectives" : "Accelerate customer success; Drive successful business outcomes; Build deep adoption of AWS; Drive broad use of AWS", "qualificationsBasic" : "8+ years technology domain experience, 5+ years applications/infrastructures experience, 10+ years IT development/consulting experience", "qualificationsPreferred" : "5+ years infrastructure architecture experience, 5+ years database architecture experience, 5+ years networking experience, Experience communicating across technical/non-technical audiences, Knowledge of AWS services, Knowledge of AWS market segments, Knowledge of AWS customer base, Knowledge of AWS industry verticals, Experience solving problems in Energy & Utilities industries", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. The Amazon Web Services (AWS) Solutions Architect team partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Solutions Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services. As a trusted customer advocate, Solutions Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for migrating existing workloads to the cloud. You’ll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your enterprise customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network. Key job responsibilities -Communicate effectively with both business and technical stakeholders as a trusted technical advisor. -Participate in deep architectural and design discussions to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud. -Author and contribute to AWS customer-facing publications such as whitepapers and proof of concepts. -In partnership with the sales team, formulate and execute a sales strategy to exceed revenue objectives through the adoption of AWS. -Build deep relationships with business and senior technical individuals within customers to enable them to be cloud advocates. -Capture and share best-practice knowledge amongst the AWS solutions architect community. -Travel is mostly regional, and is expected to be 15-20% About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 5+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - 5+ years of infrastructure architecture, database architecture and networking experience - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Knowledge of AWS services, market segments, customer base and industry verticals - Experience solving problems with technology in the Energy & Utilities industries Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, MN, Minneapolis - 153,600.00 - 207,800.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, TX, Houston - 153,600.00 - 207,800.00 USD annually", "summaryDescription" : "Sr. Solutions Architect, US Enterprise Greenfield at Amazon Web Services, Inc.. Skills: Cloud architecture, Solution design, Customer advocacy. Communicate effectively with stakeholders. Participate in architectural discussions", "postedDate" : "2026-06-13T03:27:03.446", "createdAt" : "2026-06-13T03:27:03.446", "lastUpdated" : "2026-06-15T01:37:22.890", "ingestTimestamp" : "2026-06-13T03:27:03.446", "mongoId" : "69e1043a2beec4dd3def1c5a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386409/apply", "salaryAnnualMin" : 153600, "salaryAnnualMax" : 207800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cloud architecture", "Solution architecture", "Solution design", "Customer advocacy", "Technical advisor", "Sales strategy", "Cloud computing", "Energy & Utilities industries" ], "skillCount" : 8, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2a660b74d8ee00a062bb65", "title" : "Associate Solutions Architect", "company" : "Amazon Web Services Philippines Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Associate Solutions Architect in Taguig City, Philippines, adjusted for the technology industry and a large company size." }, "location" : "Taguig City, National Capital Region, PHL", "locations" : [ "Taguig City, National Capital Region, PHL" ], "certifications" : [ "AWS Cloud Practitioner", "AWS Solutions Architect Associate" ], "timestamp" : "2026-06-15T04:47:29.143", "fingerprint" : "4513388f0500001c65290891afae95ef9170715d34c1852280904225f927d64f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442542/apply", "externalId" : "b19eaf41-25f2-45f3-ad3a-7bece476ddd7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taguig City", "state" : "National Capital Region", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5270538,121.0744942" } ], "locationText" : "Taguig City, National Capital Region, Philippines", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 3, "experienceLevel" : "Entry", "technicalSkills" : "AWS, Python, JavaScript, Java, Go, GenAI, LLMs", "professionalSkills" : [ "Cloud adoption", "Modernization", "AI solutions" ], "hardSkillsList" : [ "Building prototypes", "Writing code", "Customer engagement" ], "softSkillsList" : [ "Curiosity", "Willingness to experiment", "Adaptability" ], "hardSkills" : [ { "name" : "Building prototypes", "level" : "intermediate" }, { "name" : "Writing code", "level" : "intermediate" }, { "name" : "Customer engagement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Willingness to experiment" }, { "name" : "Adaptability" } ], "majorSkills" : "Cloud computing, Solutions architecture, AI experimentation", "majorSkillsList" : [ "Cloud computing", "Solutions architecture", "AI experimentation" ], "coreResponsibilities" : "Design and build cloud solutions, Build prototypes, proofs of concept, and demos, Assess customer applications and databases, Propose modernization approaches, Help customers execute cloud migrations, Experiment with AI and emerging technologies, Build working examples with AI, Help customers understand AI tools, Identify opportunities to add value, Drive customer initiatives forward, Adapt quickly as priorities shift, Support multiple customers and initiatives, Contribute to knowledge-sharing culture, Build technical communities, Write technical content, Run technical demos, Collaborate openly with peers", "teamCollaboration" : "Collaborating with senior architects; Collaborating with account teams; Align with customer engineering team; Pair with senior architect; Work with enterprise customers; Support account team", "domainKnowledge" : "Cloud adoption; Modernization; AI solutions; Cloud migrations; Database modernization", "domainList" : [ "cloud-adoption", "modernization", "ai-solutions", "cloud-migrations", "database-modernization" ], "domainSpecificKnowledge" : [ "Cloud adoption", "Modernization", "AI solutions", "Cloud migrations", "Database modernization" ], "communicationSkills" : "Technical demos; Writing content", "continuousLearning" : "Learning new technologies; Learning from experienced practitioners", "innovationCreativity" : "Experimenting with AI; Building prototypes; Hacking together demos", "problemSolvingSkills" : "Solving customer problems; Visualizing solutions; Validating solutions", "qualificationsBasic" : "Bachelor's degree in Computer Science, Engineering, or related field or equivalent practical experience, Experience working with cloud technologies (any major cloud platform), Proficiency in at least one programming language (e.g., Python, JavaScript, Java, Go), 2-3 years of experience in IT development, implementation, or consulting", "qualificationsPreferred" : "Experience building with GenAI tools or services, AWS Certification (e.g., Cloud Practitioner, Solutions Architect Associate), Portfolio of projects, hackathon entries, or open-source contributions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a builder who gets energized by turning ideas into working solutions? Do you love experimenting with AI and cloud technologies, and want to bring that energy to help customers solve real problems? We're looking for an Associate Solutions Architect to join our Philippines team. You'll work directly with customer teams to build prototypes, proofs of concept, and technical solutions across cloud adoption, modernization, and AI. This is an early-career role for someone with a few years of hands-on technical experience who is passionate about building, learning, and growing. You'll operate independently on customer engagements while collaborating with senior architects and account teams when the opportunity calls for it. We value builders who learn by doing. You don't just read about new technologies, you build with them. Whether it's spinning up a prototype with GenAI, containerizing an application, or hacking together a demo to show a customer what's possible, you bring curiosity and a willingness to experiment. You're comfortable writing code, iterating fast, and collaborating with others to get to the best solution. If you're energized by variety, eager to learn from experienced practitioners, and want exposure to enterprise customers, the latest technology, and initiatives that span local to global, we'd love to hear from you. Key job responsibilities - Work with customer teams to design and build cloud solutions across migrations, modernization, and new workloads, collaborating with senior architects and specialists as needed - Build prototypes, proofs of concept, and demos, often at short notice, to help customers visualize and validate solutions - Assess customer applications and databases, document current state, and propose modernization approaches - Help customers execute cloud migrations, working to move workloads efficiently and securely - Experiment with AI and emerging technologies, build working examples, and help customers understand how these tools can solve their challenges - Proactively identify opportunities to add value for customers and drive them forward with the broader account team - Adapt quickly as priorities shift, supporting multiple customers and initiatives as the team needs evolve - Contribute to the team's knowledge-sharing culture by building technical communities, writing content, running demos, and collaborating openly with peers A day in the life Your morning might start mapping out a migration approach for a customer, then jumping on a call to align with their engineering team. By afternoon, you're heads-down building a proof of concept, writing code to show how a modernized application could work on AWS. The next day might look completely different: experimenting with a new AI service to prototype a solution for a customer challenge, or running a technical demo. Some days you'll pair with a senior architect on a complex design problem; other days you'll own the engagement end to end. The work is varied, fast-paced, and gives you exposure to real enterprise problems across industries. You'll have experienced colleagues to learn from, but you won't be waiting for permission to build. About the team You'll be part of the AWS Philippines Solutions Architecture team, based in our Manila (BGC in Taguig) office. We work with enterprise customers across industries, helping them adopt cloud, modernize their technology, and build with AI. Our team values builders who are curious, collaborative, and eager to learn. We invest in each other's growth, celebrate diverse perspectives, and create space for everyone to contribute. Whether you're writing code, whiteboarding with a customer, or sharing what you learned at a team session, you'll find a supportive environment that values both technical depth and personal development. Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience - Experience working with cloud technologies (any major cloud platform) - Proficiency in at least one programming language (e.g., Python, JavaScript, Java, Go) - 2-3 years of experience in IT development, implementation, or consulting Preferred Qualifications: - Experience building with GenAI tools or services (e.g., integrating LLMs, building AI-powered applications, experimenting with agentic AI) - AWS Certification (e.g., Cloud Practitioner, Solutions Architect Associate) - A portfolio of projects, hackathon entries, open-source contributions, or community involvement that demonstrates a passion for building Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Associate Solutions Architect at Amazon Web Services Philippines Inc.. Skills: Cloud computing, Solutions architecture, AI experimentation. Design and build cloud solutions. Build prototypes, proofs of concept, and demos", "postedDate" : "2026-06-13T10:49:19.555", "createdAt" : "2026-06-13T10:49:19.555", "lastUpdated" : "2026-06-15T04:47:29.143", "ingestTimestamp" : "2026-06-13T10:49:19.555", "mongoId" : "6a2a660b74d8ee00a062bb65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442542/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Building prototypes", "Writing code", "Customer engagement", "Curiosity", "Willingness to experiment", "Adaptability", "Cloud computing", "Solutions architecture", "AI experimentation", "Cloud adoption", "Modernization", "AI solutions", "Cloud migrations", "Database modernization", "AWS Cloud Practitioner", "AWS Solutions Architect Associate" ], "skillCount" : 16, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c8d6f74d8ee00a0978f92", "title" : "Senior Decision Scientist, Product Analytics", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 97000.0, "max" : 118000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:37:27.909", "fingerprint" : "6a1489b1dc12ed5276396969699744db2a4c902954b13a8d2e53d1a8285c62b6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/be2bc6b2-85d6-407a-9d0f-2fd755645f28/application", "externalId" : "be2bc6b2-85d6-407a-9d0f-2fd755645f28", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Statistical modeling", "Machine learning modeling", "Experimentation" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Product Analytics, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Product Analytics", "Data Engineering" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and execute A/B tests, Analyze product performance, Build and maintain data pipelines, Collaborate with product managers, Communicate findings to stakeholders, Develop dashboards and reports, Mentor junior data scientists", "teamCollaboration" : "Product managers; Engineering teams; Marketing teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Product development lifecycle", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "product-development-lifecycle" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Product development lifecycle" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Stakeholder communication; Technical presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience, Bachelor's degree, SQL proficiency, Experience with Python or R, Experience with data warehousing", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks, Experience with A/B testing, Experience with causal inference", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is seeking a Senior Decision Scientist to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. With over 50 people, Ibotta’s Analytics team uses the latest developments not only in our core technical capabilities such as statistics, machine learning, testing methodologies, and data engineering, but also in the broader aspects of an analytics organization such as minimizing technical debt, increasing organizational data literacy, and developing analytics leadership, making Ibotta a place where individuals at all levels can learn and grow their careers. As a Senior Decision Scientist, you will be responsible for providing actionable and data-driven recommendations to internal and external stakeholders. You’ll have the opportunity to work alongside talented individuals and understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our largest line of business. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Leading projects to build causal inference models (A/B testing), automation of existing reports and deliverables, machine learning models, root cause analysis of upstream data issues, and market analysis case studies - Working cross-functionally to analyze large amounts of behavioral and transaction data to provide clients with actionable insights about Ibotta’s users and campaign performance - Communicating complex analyses and data intricacies in a clear, concise manner both internally as well as to external clients - Serving as a leader for the ideation, development, and support on strategic initiatives including statistical modeling and advanced analytics within the team - Mentoring other members of the team - Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we are looking for: - 5+ years of practical work experience in Analytics - Bachelor’s degree in Computer Science, Engineering or a related field - Moderate to advanced knowledge of common data science software development packages (Python, R, etc.) and their relevant libraries, along with strong SQL and proven data wrangling and feature engineering skills - Ability to drive projects end-to-end with minimal guidance/oversight, with examples of high-quality output that provide actionable, business-focused insights and recommendations - Initiative to proactively anticipate and solve important problems - Ability to communicate complex analytical concepts clearly and concisely both in written form and verbally to both technical and non-technical audiences, with a track record of strong partnerships with key stakeholders and clients across multiple functions - 5+ years of practical work experience in Analytics About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $97,000 - $118,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Senior Decision Scientist, Product Analytics at Ibotta. Skills: Data Science, Machine Learning, Product Analytics, Data Engineering. Develop and implement machine learning models. Design and execute A/B tests", "createdAt" : "2026-06-14T18:13:53.229", "lastUpdated" : "2026-06-15T21:37:27.909", "ingestTimestamp" : "2026-06-14T18:13:53.229", "mongoId" : "6a2c8d6f74d8ee00a0978f92", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 97000, "salaryAnnualMax" : 118000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Statistical modeling", "Machine learning modeling", "Experimentation", "Data Science", "Machine Learning", "Product Analytics", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference", "E-commerce analytics", "Customer behavior analysis", "Product development lifecycle", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "69e104402beec4dd3def253d", "title" : "Economist, Economic Decision Science", "company" : "Amazon EU SARL (UK Branch)", "industry" : "Economics, Economist, Retail", "salary" : { "min" : 200000.0, "max" : 350000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Economist roles in London, adjusted for executive seniority at a large e-commerce company." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T08:21:05.239", "fingerprint" : "e868971f29168669b861a6751b6dfba81c720404864c50909f9dcf3f75ca0a25", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387098/apply", "externalId" : "5cd4f969-786b-4337-b0b4-2d9dec2527a3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Econometrics, Machine learning", "professionalSkills" : [ "Business decision making" ], "hardSkillsList" : [ "Causal modeling", "Data science workflows" ], "hardSkills" : [ { "name" : "Causal modeling", "level" : "intermediate" }, { "name" : "Data science workflows", "level" : "intermediate" } ], "majorSkills" : "Econometrics, Machine learning, Experimentation", "majorSkillsList" : [ "Econometrics", "Machine learning", "Experimentation" ], "coreResponsibilities" : "Build innovative solutions, Develop econometric models, Develop experiments to measure customer and financial impact, Collaborate with other scientists, Deliver measurable progress and change, Influence business leaders based on empirical findings", "teamCollaboration" : "Interdisciplinary team", "domainKnowledge" : "Product assortment", "domainList" : [ "product-assortment" ], "domainSpecificKnowledge" : [ "Product assortment" ], "communicationSkills" : "Communicate results", "innovationCreativity" : "Innovative approach; Build pioneering solutions", "problemSolvingSkills" : "Solve problems", "outcomesObjectives" : "Impact Amazon's business position", "qualificationsBasic" : "PhD in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent, Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A testing, experiments, quasi-experiments, and data science workflows", "qualificationsPreferred" : "Experience communicating results to senior leadership, Experience in building financial and operational reports/data sets that inform business decision-making, Research track record", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for an Economist to work on exciting and challenging business problems related to Amazon Retail’s worldwide product assortment. You will build innovative solutions based on econometrics, machine learning, and experimentation. You will be part of a interdisciplinary team of economists, product managers, engineers, and scientists, and your work will influence finance and business decisions affecting Amazon’s vast product assortment globally. If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Key job responsibilities * Work on a challenging problem that has the potential to significantly impact Amazon’s business position * Develop econometric models and experiments to measure the customer and financial impact of Amazon’s product assortment * Collaborate with other scientists at Amazon to deliver measurable progress and change * Influence business leaders based on empirical findings Basic Qualifications: - PhD in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent - Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows Preferred Qualifications: - Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making - Strong research track record Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Economist, Economic Decision Science at Amazon EU SARL (UK Branch). Skills: Econometrics, Machine learning, Experimentation. Build innovative solutions. Develop econometric models", "postedDate" : "2026-06-13T12:46:33.910", "createdAt" : "2026-06-13T12:46:33.910", "lastUpdated" : "2026-06-15T08:21:05.239", "ingestTimestamp" : "2026-06-13T12:46:33.910", "mongoId" : "69e104402beec4dd3def253d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387098/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Causal modeling", "Data science workflows", "Econometrics", "Machine learning", "Experimentation", "Business decision making", "Product assortment" ], "skillCount" : 7, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e437f8b1b0376634c87b", "title" : "Business Intelligence Manager", "company" : "Amazon Shipping", "industry" : "Business Intelligence, Business Intel Engineer, transportation and logistics", "salary" : { "min" : 2850000.0, "max" : 4550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Business Intelligence Manager in Hyderabad, India, adjusted for manager seniority at a large company in the logistics industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:51:10.379", "fingerprint" : "c2d94e881df073d3cc42f868d488dd37daa4ab96bf3801114bfe3b17be44216d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3072619/apply", "externalId" : "545dab1d-f48e-42c6-ade1-61c8afcf29b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "SQL, ETL, Tableau, Quicksight, R, Python, Weka, SAS, Matlab, Amazon Q", "professionalSkills" : [ "Business analytics", "Data science management", "Analytics frameworks", "Data pipelines", "Reporting solutions", "Business performance", "Key performance indicators", "Process improvement" ], "hardSkillsList" : [ "Data management", "Data visualization", "Statistical analysis", "Machine learning software" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data management", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning software", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Business Intelligence, Analytics, Data Management, Reporting", "majorSkillsList" : [ "Business Intelligence", "Analytics", "Data Management", "Reporting" ], "coreResponsibilities" : "Provide data management processes, Build queries and macros, Write VBA code, Organize data, Design reports, Retrieve and analyze data, Design and implement reporting solutions, Take ownership of reporting processes, Build and manage KPIs, Monitor existent metrics, Build new metrics, Support cross-functional teams, Generate complex queries, Innovate to improve customer experience", "teamCollaboration" : "Cross-functional teams; Data engineering teams; Tech teams", "domainKnowledge" : "Global shipping network; Logistics capabilities", "domainList" : [ "global-shipping-network", "logistics-capabilities" ], "domainSpecificKnowledge" : [ "Global shipping network", "Logistics capabilities" ], "toolProficiency" : [ "Excel", "SQL", "VBA", "Tableau", "Quicksight" ], "communicationSkills" : "Translate complex data concepts", "innovationCreativity" : "Business innovation", "problemSolvingSkills" : "Data discrepancies; Process issues", "qualificationsBasic" : "7+ years business intelligence and analytics experience, 5+ years managing a business intelligence or analytics team, Experience with SQL, Experience with ETL, Experience with data visualization using Tableau, Quicksight, or similar tools, Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software", "qualificationsPreferred" : "4+ years working with very large data warehousing environment, 10+ years data warehouse technical architectures, 10+ years data modeling, 10+ years infrastructure components, 10+ years ETL/ ELT, 10+ years reporting/analytic tools and environments, 10+ years data structures, 10+ years hands-on SQL coding experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build Amazon's next $100B business? The SWA Business Analytics team is the backbone of data, analytics, and business insights for Amazon Shipping. We're not just crunching numbers—we're revolutionizing how data drives decision-making across a global shipping network. By evolving Amazon's legendary analytics capabilities into an agile, intelligent insights engine, we're creating a data ecosystem that continuously optimizes to deliver actionable intelligence for every business unit and every customer. Every insight we generate is more than just a metric—it spins the flywheel faster, continuously enhancing our shipping network through scale, speed, and intelligence. As we increase our analytical capabilities and reach, we're transforming data-driven decision making for ALL aspects of Amazon Shipping while simultaneously strengthening Amazon's overall logistics capabilities—reducing costs and accelerating growth across our entire ecosystem. What will you do? We're hiring a Manager, Business Analytics who will enhance our ability to deliver data-driven insights with speed and accuracy. Your mission is to create clear pathways for teams to rapidly transform raw data into working solutions while maintaining transparency across our organization. You'll design and implement sophisticated analytics frameworks for worldwide operations, including Commercial Sales, Marketing, Revenue Management, Customer Support, and Sustainability. You'll coordinate essential analytics activities in ways that keep teams focused on business outcomes rather than just data processing. You'll partner with data engineering and tech teams to establish consistent data pipelines and analytics tools that drive accountability while preserving the creativity and autonomy that leads to business innovation. In this role, you'll balance the need for structured analytics with the imperative to maintain customer obsession as we grow, ensuring we can deliver insights with the speed and reliability our business partners expect. You'll also lead the charge in elevating our reporting capabilities through advanced data tools, including artificial intelligence solutions such as Amazon Q. Who are you? You're an experienced analytics leader who has successfully implemented effective frameworks that enable teams to rapidly deliver data-driven insights across complex organizations. You understand that well-designed analytics processes should accelerate business-focused innovation rather than constrain it, and you have a proven track record of increasing analytical accuracy and relevance without creating unnecessary complexity. You have deep experience in business analytics or data science management, with demonstrated success in harmonizing data processes while keeping business outcomes at the center. You should be comfortable refining analytics approaches to focus more directly on business impact, and introducing new methodologies that deliver better insights faster. As this role involves regular interaction with senior leadership, you can translate complex data concepts into clear business terms. The ideal candidate has a history of improving cross-functional collaboration, increasing responsiveness to business needs, and creating organizational clarity in rapidly scaling data environments. You're a thoughtful enabler who measures success by how effectively teams leverage data to drive business growth, maintaining the right balance between analytical rigor and practical application. Key job responsibilities • Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance. • Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems. • Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions. • Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies. • Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes. • Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities. • Supporting cross-functional teams on the day-to-day execution of the existent program implementation. • Generating complex queries to dive deep on process issues. • Innovating to improve customer experience. Basic Qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications: - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Manager at Amazon Shipping. Skills: Business Intelligence, Analytics, Data Management, Reporting. Provide data management processes. Build queries and macros", "postedDate" : "2026-06-13T09:30:02.888", "createdAt" : "2026-06-13T09:30:02.888", "lastUpdated" : "2026-06-15T02:51:10.379", "ingestTimestamp" : "2026-06-13T09:30:02.888", "mongoId" : "68c2e437f8b1b0376634c87b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3072619/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data management", "Data visualization", "Statistical analysis", "Machine learning software", "Leadership", "Business Intelligence", "Analytics", "Data Management", "Reporting", "Business analytics", "Data science management", "Analytics frameworks", "Data pipelines", "Reporting solutions", "Business performance", "Key performance indicators", "Process improvement", "Global shipping network", "Logistics capabilities", "Excel", "SQL", "VBA", "Tableau", "Quicksight" ], "skillCount" : 24, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c8bb174d8ee00a09737fc", "title" : "Engineering Manager - Spend Intelligence", "company" : "Pliant", "industry" : "Engineering", "salary" : { "min" : 110000.0, "max" : 165000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in FinTech in the EU, adjusted for seniority and remote work." }, "location" : "Remote", "locations" : [ "Remote", "Remote" ], "timestamp" : "2026-06-16T07:05:43.886", "fingerprint" : "304395b5747950bde636320da66a4559550b08d433642424b630346d00c1052a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/pliant/274c9cd7-02ca-4cbc-9776-5832301f8c90/application", "externalId" : "274c9cd7-02ca-4cbc-9776-5832301f8c90", "industryFunction" : { }, "structuredLocations" : [ { "country" : "European Union", "continent" : "eu", "workMode" : "remote" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "European Union; United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, LLM, API", "professionalSkills" : [ "System design", "Product strategy" ], "hardSkillsList" : [ "AI integration", "Spend analysis" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI integration", "level" : "intermediate" }, { "name" : "Spend analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Team leadership, AI features, Product development", "majorSkillsList" : [ "Team leadership", "AI features", "Product development" ], "coreResponsibilities" : "Hire engineers, Onboard engineers, Grow engineering team, Support engineers, Define team mission, Define problem space, Define OKRs, Guide technical direction, Evaluate AI quality, Ground LLM responses, Contain LLM failures, Foster open communication, Foster career development, Champion engineering best practices, Promote continuous integration, Deploy to production daily, Collaborate with peer EMs, Collaborate with infrastructure team, Collaborate with data team, Set team OKRs, Track team OKRs, Promote innovation, Promote knowledge sharing, Enhance team processes", "teamCollaboration" : "Cross-functional teams; Peer EMs; Infrastructure team; Data team", "projectManagementSkills" : [ "OKRs", "Roadmap definition" ], "domainKnowledge" : "Spend intelligence; Fintech payments; Embedded finance; White-label solutions; E-money institution; AI-driven insights; LLM-powered assistant; Receipt management; Foundation models; Agentic patterns", "domainList" : [ "spend-intelligence", "fintech-payments", "embedded-finance", "white-label-solutions", "e-money-institution", "ai-driven-insights", "llm-powered-assistant", "receipt-management", "foundation-models", "agentic-patterns" ], "domainSpecificKnowledge" : [ "Spend intelligence", "Fintech payments", "Embedded finance", "White-label solutions", "E-money institution", "AI-driven insights", "LLM-powered assistant", "Receipt management", "Foundation models", "Agentic patterns" ], "communicationSkills" : "Direct feedback; Clear expectations", "continuousLearning" : "Career development; Knowledge sharing", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "50-60% hands-on initially, Team building experience", "qualificationsPreferred" : "Experience in a regulated environment", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT PLIANT Pliant is a European fintech specializing in B2B payment solutions. Our modular, API-first platform helps businesses streamline spending, improve cash flow, and integrate payments into their financial workflows. Designed for industries with complex payment needs, such as travel and fleet, Pliant enables greater efficiency, control, and profitability. We serve two primary customer segments: - Companies looking to optimize operational processes through intuitive apps and APIs, gaining control, automation, and financial flexibility through extended credit lines. - Businesses such as financial software platforms, ERP providers, and banks that want to launch or enhance their credit card offerings using Pliant's embedded finance and white-label solutions. Founded in 2020 and headquartered in Berlin, Pliant supports over 4,500 businesses and more than 20 partners globally. As a licensed e-money institution (EMI), we issue credit cards in 11 currencies across more than 30 countries, helping companies streamline and simplify payments. ABOUT THE ROLE We're seeking an Engineering Manager - Spend Intelligence EU/UK remote (m/f/d) to help build and lead a brand-new engineering team focused on Spend Intelligence — the product space where Pliant helps customers understand, optimize, and increasingly automate their spend through insights and AI. This is an early-stage team-building role. You'll start with a small group of existing engineers and grow the team into a fully-formed product team over the next two to three quarters, together with a Product Manager, a Product Designer, and additional engineers we're hiring in parallel. Initially, you'll be around 50-60% hands-on. Hands-on expectations are intentionally front-loaded and expected to decrease as the team matures. You'll architect scalable, maintainable, and secure solutions while mentoring and developing your team. You'll collaborate with other (Senior) Engineering Managers, Product Managers, Designers, and Engineers across PAW (Partners, APIs & Workflows) and the wider Engineering org to define roadmaps, drive execution, and uphold best practices. You'll contribute to the codebase and guide your team in developing innovative solutions for our customers. You’ll have strong partnership from product and engineering leadership while shaping this new team. ABOUT THE TEAM Spend Intelligence is a new product team forming in 2026 as part of a strategic restructuring within the group, by splitting an existing team. In the short term, Spend Intelligence focuses on: - Pliant Assistant, our LLM-powered assistant — evolving it into a high-quality product experience customers genuinely rely on - AI-driven spend insights and automation — helping customers understand and optimize their spend, and increasingly automating the steps in between - Receipt management — extracting data and insights from receipts and building automations based on the data - The supporting AI capabilities currently needed to deliver these features (foundation-model integrations, retrieval, evaluation, agentic patterns, MCPs). The team starts with one experienced backend engineer, a frontend engineer, a product designer, and you. We're hiring a Product Manager and several engineers to build out the full team over the next quarters. WHAT YOU'LL DO - Build and Lead a New Team: Hire, onboard, and grow an interdisciplinary engineering team while staying close to the technology (hands-on in the beginning). Support engineers in a psychologically safe environment through regular performance reviews, clear expectations, and direct and supportive feedback. - Shape the Product Space: Partner with your Product Manager and Product Designer to define the team's mission, problem space, and OKRs. Help us answer not only \"how do we build this\" but also \"what is worth building\". - Drive Technical Direction for AI-enabled Features: Guide the team through real product questions — when does an LLM actually improve the experience vs. when a deterministic solution serves users better; how do we evaluate quality, ground responses, and contain failure modes; what belongs in our team vs. as a shared platform capability. - Mentor and Grow Talent: Foster open communication, career development, and engineering excellence by championing best practices like test-driven bug fixing, automated testing, continuous integration and daily deployments to production. - Collaborate Across Teams: Work closely with peer EMs, our infrastructure team, and our data team to shape clear interfaces and avoid the \"AI team owns everything AI\" anti-pattern. - Manage OKRs and Continuous Improvement: Set and track quarterly team OKRs together with the product manager. Promote innovation, knowledge sharing, and ongoing enhancements to maintain a culture of excellence. - Participate in Hiring and On-Call: Take an active role in interviewing for your team and across Engineering, and join our compensated on-call rotation alongside the team (optional). - Champion Pliant Values: Embrace and live Pliant's core values — Push It, Own It, Open Up, Be Kind, Have Fun, Be Pliant — while collaborating with peers on company-wide initiatives and fostering a positive team and department culture. WHAT YOU'LL BRING - Several years of hands-on backend engineering experience with Java/Kotlin and Spring Boot, plus time spent in a leadership or management role. We generally think in the range of 7+ years total and 2+ years in management, but we care more about depth, judgment, and how you learn than the exact number on your CV. - Care for engineering craft and the trade-offs behind technical decisions, especially in distributed, testable, and maintainable backend systems. - Solid working knowledge of REST APIs, relational databases (we use PostgreSQL), and microservices. - Experience leading teams, mentoring engineers, and helping people grow into the next step in their career. - Comfort with ambiguity and product-shaped problems — this team is new and needs someone energized by that rather than waiting for things to be fully defined. - Genuine interest in building user-facing product features and a healthy skepticism toward AI hype. We'd rather ship one thing that quietly works than five things that demo well. - Strong problem-solving skills and the ability to drive projects from concept to completion by leveraging your team's skills. BONUS POINTS - Hands-on experience with LLMs, agents, RAG, evals, MCPs, or shipping production AI features - Experience starting a team from scratch or splitting an existing team into focused units - Experience operating in a regulated environment (fintech, healthtech, etc.) Don't meet every single point on this list? Please apply anyway. Research consistently shows that candidates from underrepresented groups hold themselves to a higher bar and self-select out of roles they'd actually thrive in. If this role excites you and you bring most of what we're looking for, we'd love to hear from you and figure out together whether there's a fit. WHAT WE OFFER - The opportunity to work in a growing team with big responsibilities that thrives on a strong exchange of knowledge and excellence - Attractive remuneration - Your choice of preferred hardware: Windows-based laptop or MacBook Pro - Flat hierarchy and transparent communication in a relaxed, professional atmosphere - Opportunity to develop your talent in a dynamic team with ambitious goals - Flexibility and possibility to work remotely - English as our working language, with colleagues from many different backgrounds and countries - Company card with a monthly allowance for lunches, coffee, etc. with co-workers - As an Engineering Manager, you report to the Head of Engineering for the PAW group DIVERSITY & INCLUSION At Pliant, we believe diversity and inclusion are essential to building not only an innovative product but also an exceptional experience for both our customers and our team. This commitment begins with our hiring process—we welcome individuals of all racial and ethnic backgrounds, religions, national origins, gender identities or expressions, sexual orientations, ages, marital statuses, and abilities. If you require accommodations or accessibility support during the interview process, please let us know in your application so we can make sure your experience is seamless. We also know that great candidates don't always tick every box on a job description. If this role excites you but your experience doesn't perfectly match every requirement listed, we still encourage you to apply. You might bring strengths, perspectives, or potential we hadn't even thought to ask for—and we'd rather hear from you than miss the chance to meet you.", "summaryDescription" : "Engineering Manager - Spend Intelligence at Pliant. Skills: Team leadership, AI features, Product development. Hire engineers. 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Our team empowers every customer to grow by providing tailored service, unmatched technology, and architecture guidance. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. The Role As a trusted customer advocate, Solutions Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for migrating existing workloads to the cloud. You’ll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your enterprise customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network. Travel is mostly regional, and post pandemic is expected to be 15-20%. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience Preferred Qualifications: - 5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually", "summaryDescription" : "Senior Solutions Architect, ENT US Travel & Hospitality at Amazon Web Services, Inc.. Skills: Cloud solutions, Architecture guidance, Customer advocacy. Educate customers on cloud best practices. Train customers on cloud best practices", "postedDate" : "2026-06-13T13:05:19.561", "createdAt" : "2026-06-13T13:05:19.561", "lastUpdated" : "2026-06-15T05:45:08.658", "ingestTimestamp" : "2026-06-13T13:05:19.561", "mongoId" : "69d5e4962beec4dd3d931904", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385380/apply", "salaryAnnualMin" : 153600, "salaryAnnualMax" : 207800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cloud solutions design", "Cloud solutions implementation", "Cloud solutions consulting", "Workload migration strategy", "Curious", "Cloud solutions", "Architecture guidance", "Customer advocacy", "Business outcomes", "Cloud computing", "Systems engineering", "Infrastructure", "Security", "Networking", "Data analytics" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a660274d8ee00a062b75c", "title" : "Associate Solutions Architect", "company" : "Amazon Web Services Vietnam Company Limited", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 6.5E8, "max" : 9.5E8, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Associate Solutions Architect in Hanoi, Vietnam, adjusted for the technology industry and a large company size." }, "location" : "Hanoi, VNM", "locations" : [ "Hanoi, VNM" ], "certifications" : [ "Solutions Architect Associate", "AI Practitioner", "Generative AI Developer" ], "timestamp" : "2026-06-15T02:39:59.676", "fingerprint" : "cb97d46327fd43c5c6a8cf8e1206350d93fac11429712faba63aced47a662fb6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10444075/apply", "externalId" : "03bd53c1-6fc4-4d9c-b83d-fe376c84e037", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hanoi", "country" : "Vietnam", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "21.0283334,105.8540410" } ], "locationText" : "Hanoi, Vietnam", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, Java, Python, Ruby, Node.js, C#, C++, AI, GenAI, Agentic AI, Machine Learning", "professionalSkills" : [ "Cloud adoption", "Migration", "Modernization", "Cloud-native solutions", "Legacy modernization", "Greenfield application", "AI transformation" ], "hardSkillsList" : [ "Cloud architecture", "Database modernization", "Prototype development" ], "softSkillsList" : [ "Curiosity", "Adaptability", "Agility" ], "hardSkills" : [ { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "Database modernization", "level" : "intermediate" }, { "name" : "Prototype development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Adaptability" }, { "name" : "Agility" } ], "majorSkills" : "Solutions Architecture, Cloud Migration, AI Implementation", "majorSkillsList" : [ "Solutions Architecture", "Cloud Migration", "AI Implementation" ], "coreResponsibilities" : "Design and build solutions across cloud adoption, Design and build solutions across migration, Design and build solutions across modernization, Design and build solutions across new workloads, Work hands-on with customer teams building prototypes, Work hands-on with customer teams building proofs of, Work hands-on with customer teams building production-ready architectures, Assess legacy applications, Assess legacy databases, Co-create practical modernization roadmaps, Guide customers through cloud migrations, Help customers move workloads efficiently, Help customers move workloads securely, Help customers explore how AI can enhance applications, Help customers explore how AI can enhance operations, Help customers explore how AI can enhance customer, Apply practitioner-level judgment, Identify the right opportunities, Focus effort where it creates greatest customer impact, Focus effort where it creates greatest business impact, Navigate shifting priorities with agility, Realign quickly as customer needs evolve, Realign quickly as business needs evolve, Share knowledge broadly through workshops, Share knowledge broadly through technical content, Share knowledge broadly through community engagement", "teamCollaboration" : "Customer teams; 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Enhance customer experiences; Creates greatest customer impact; Creates greatest business impact", "qualificationsBasic" : "Experience with Java, Python, Ruby, Node.js, C#, C++, or other modern computing languages, Understanding of common architectural patterns, Understanding of cloud-native design principles, 2-3+ years architecting, migrating, or building solutions on cloud platforms, Hands-on experience with AWS services", "qualificationsPreferred" : "Curious & experimented with AI and emerging technologies, Experience helping customers evaluate or implement AI/ML solutions, Comfort operating in ambiguous, fast-changing environments, Ability to pivot and reprioritize, Judgment in identifying high-impact opportunities, Experience with Big Data, Experience with Analytics, Experience with Security, Experience with DevOps, Experience with Application Development, Experience with Machine Learning, Awareness of AWS or cloud computing, AWS certifications, Contributions to the technical community", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you an Architect at heart who also thinks like an engineer? Do you get energized helping customers solve complex problems, not just on a whiteboard, but by building alongside them? We're looking for a Solutions Architect to join our Vietnam team, working with customers across the full breadth of their cloud journey. You'll help customers migrate to the cloud, modernize legacy applications and databases, build cloud-native solutions, and explore how GenAI & Agentic AI can drive their business forward. We value practitioners people whose judgment is grounded in real-world experience building and shipping solutions. You'll partner hands-on with customers, turning ideas into working prototypes and production-ready architectures. Whether the challenge is a complex migration, a legacy modernization, a greenfield application, or helping a customer understand how AI can transform their business, you'll bring curiosity, technical depth, and a bias for action. If you thrive in ambiguity, adapt quickly when priorities shift, and measure your success by the outcomes you help customers achieve, we'd love to hear from you. Key job responsibilities - Design and build solutions across cloud adoption, migration, modernization, and new workloads - Work hands-on with customer teams building prototypes, proofs of concept, and production-ready architectures together - Assess legacy applications and databases, and co-create practical modernization roadmaps that reduce technical debt and enable innovation - Guide customers through cloud migrations helping them move workloads efficiently and securely - Help customers explore how AI and emerging technologies can enhance their applications, operations, and customer experiences - Apply practitioner-level judgment to identify the right opportunities and focus effort where it creates the greatest customer and business impact - Navigate shifting priorities with agility, realigning quickly as customer and business needs evolve - Share knowledge broadly through workshops, technical content, and community engagement A day in the life Your morning might start white-boarding a migration strategy for a customer moving their first workloads to the cloud. By afternoon, you're hands-on pairing with their engineers to build a proof of concept for modernizing a legacy database. The next day could be completely different: helping a customer design a cloud-native application, or exploring how AI could solve a long-standing business challenge. Your recommendations carry weight because they're informed by your own experience building. When priorities shift, you adapt. You're always learning and bringing that knowledge back to customers. About the team You'll be part of the AWS Vietnam Solutions Architecture team. We work with customers across industries, helping them adopt cloud, migrate and modernize their technology landscape, adopt AI, and build for the future. Our team values builders who are curious, collaborative, and customer-obsessed. We learn from each other, support each other's growth, and celebrate diverse perspectives. Whether you're presenting to executives or coding alongside engineers, you'll find a team that values both technical depth and human connection. Basic Qualifications: - Experience with one of the programming languages - Java, Python, Ruby, Node.js, C#, C++, or other modern computing languages. - Understanding of common architectural patterns and cloud-native design principles - 2-3+ years of experience architecting, migrating, or building solutions on cloud platforms, with hands-on experience with AWS services Preferred Qualifications: - Curious & have experimented with AI and emerging technologies-and how they can augment human builders and drive business outcomes-with experience helping customers evaluate or implement AI/ML solutions - Comfort operating in ambiguous, fast-changing environments with the ability to pivot and reprioritize, and strong judgment in identifying high-impact opportunities - Experience with one or more of the following domains - Big Data, Analytics, Security, DevOps, Application Development, or Machine Learning Awareness of AWS or cloud computing. - AWS certifications (e.g., Solutions Architect Associate, AI Practitioner, Generative AI Developer) Or Contributions to the technical community through speaking, writing, or open source Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Associate Solutions Architect at Amazon Web Services Vietnam Company Limited. Skills: Solutions Architecture, Cloud Migration, AI Implementation. Design and build solutions across cloud adoption. Design and build solutions across migration", "postedDate" : "2026-06-13T04:38:12.045", "createdAt" : "2026-06-13T04:38:12.045", "lastUpdated" : "2026-06-15T02:39:59.676", "ingestTimestamp" : "2026-06-13T04:38:12.045", "mongoId" : "6a2a660274d8ee00a062b75c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10444075/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cloud architecture", "Database modernization", "Prototype development", "Curiosity", "Adaptability", "Agility", "Solutions Architecture", "Cloud Migration", "AI Implementation", "Cloud adoption", "Migration", "Modernization", "Cloud-native solutions", "Legacy modernization", "Greenfield application", "AI transformation", "Roadmaps", "Cloud platforms", "Cloud-native design", "AI", "Emerging technologies", "Big Data", "Analytics", "Security", "DevOps", "Application Development", "Machine Learning", "Solutions Architect Associate", "AI Practitioner", "Generative AI Developer" ], "skillCount" : 30, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7fce74d8ee00a095663f", "title" : "Commercial Solutions Banker", "company" : "Climate First Bank", "industry" : "Banking", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline compensation for a Mid-level Commercial Solutions Banker in the United States, adjusted for the banking industry and remote work." }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-16T05:54:11.376", "fingerprint" : "bbc4153f6f9696030a46737932213ba807836c1006a361a886fb62083675f355", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/climatefirstbank/jobs/4278752009", "externalId" : "4278752009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "remoteFriendly" : true, "rawDescription" : "We are changing FINANCE to finance CHANGE! At Climate First Bank, we’re redefining what banking can be. As a Florida Benefit Corporation and FDIC-insured commercial bank, we offer a full suite of personal and business services—including solar, residential, commercial, ESOP Banking, Structured Finance and SBA loans—all designed to power a better future. We’re proud to be a Certified B Corporation, a member of 1% for the Planet, and part of the Global Alliance for Banking on Values (GABV), reflecting our deep commitment to sustainability, transparency, and ethical banking. With branches in St. Petersburg, Winter Park, Mount Dora, and a growing digital presence, we’re proving that banking can be a force for good. We don’t just support environmental and social causes—we’re built on them. Under our Holding Company, Climate First Bancorp, we are also powered by OneEthos. OneEthos operates at the intersection of fintech and traditional banking to expand access to inclusive, values-driven financial services. Regulated by the Federal Reserve Bank, it equips Community Banks, Credit Unions, CDFIs, and Green Banks with ethical lending tools—especially in climate finance and solar lending. Join the Movement We’re seeking driven, mission-aligned individuals ready to make an impact. If you’re passionate about sustainability, thrive in a fast-paced, results driven environment, and want to be part of something bigger, you will feel right at home. Our team is one of goal-setters, go-getters, problem solvers, thought leaders, and changemakers. We celebrate wins, tackle challenges head-on, and push boundaries. Fueled by purpose, we thrive where perseverance and passion turn ambitious goals into reality. Thrive at Climate First Bank At Climate First Bank, we’re investing in your future. We offer a comprehensive, people-first benefits package that supports your health, finances, and work-life balance. Compensation — In addition to the base salary, this position may be eligible for an annual bonus, incentives and equity. Actual compensation is based on industry salary ranges, internal salary structures, experience, skills and other job-related factors. Health Coverage — 100% employer-paid for employees; employer contribution for dependents by Us Medical, Dental Eastern Standard Hours. Occasional U. S. travel for company events or leadership sessions. Tobacco-Free employer. All employees must affirm to be non-smokers or affirm commitment to cessation within 90-days of offer acceptance. Sustained standing and sitting, frequent communication (speaking and listening) and use of PC, including typing or sustained attention to monitor, occasional lifting up to 20 lbs. The Hiring Process: Applications must be submitted through the official application link. Resumes sent via other channels may be delayed or bypassed. Processing times may vary. Candidates selected to move forward will be contacted by the hiring team. Our process follows the Topgrading Methodology — we hire A-Players through a structured, transparent process that includes: Cognitive and personality assessments An application form spanning your full education and work history 3 conversation stages with key team members- get to know us! Credit and background checks conducted before the final interview Final Step: Connect us with former mentors and managers of our choice for reference chats. We do not offer visa sponsorship and will not pursue candidates without valid work authorization. Equal Opportunity Statement: At Climate First Bank we truly believe that our people are our strength and the diverse talents they bring to our workforce are directly linked to our success. Diversity and inclusion are at the core of our values and mission. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. Equal Opportunity Employer/Disability/Veterans E-Verify Statement: This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9", "summaryDescription" : "Commercial Solutions Banker at Climate First Bank", "postedDate" : "2026-06-14T20:11:52.617", "createdAt" : "2026-06-14T20:11:52.617", "lastUpdated" : "2026-06-16T05:54:11.376", "ingestTimestamp" : "2026-06-14T20:11:52.617", "mongoId" : "6a2c7fce74d8ee00a095663f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.98 }, { "id" : "69f552ce4c40e2acd1fdd32c", "title" : "Principal Product Manager - Tech, Devices Decision Science", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, alexa and amazon devices", "salary" : { "min" : 206000.0, "max" : 279000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T04:29:08.372", "fingerprint" : "69cf2a2514f57cca4513b4217e245bf96e9036dba6204866b0c0c74f80ca15fc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409323/apply", "externalId" : "64b2512f-44ac-49ab-bd7a-a2889d50563a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine learning, Econometric models, Python, R, Stata", "professionalSkills" : [ "Product strategy", "Roadmap definition", "Business acumen", "Portfolio optimization", "Quantitative analysis", "Forecasting", "Business strategy" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical modeling", "Machine learning algorithms", "Econometric modeling", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Econometric modeling", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product strategy, Quantitative analysis, Machine learning, Roadmap definition", "majorSkillsList" : [ "Product strategy", "Quantitative analysis", "Machine learning", "Roadmap definition" ], "coreResponsibilities" : "Define product vision, strategy, roadmap, Shape strategy for device portfolios, Identify opportunities for quantitative methods, Partner with science teams, Evaluate model methodologies, Challenge model assumptions, Validate model accuracy, Identify model edge cases, Translate quantitative concepts, Conduct leadership reviews, Present portfolio recommendations, Build relationships with partners, Establish mechanisms to measure impact, Improve model adoption, Improve model trust", "teamCollaboration" : "Science teams; Business stakeholders; Senior Device leadership; Supply chain; Finance; Marketing; Hardware engineering", "projectManagementSkills" : [ "Roadmap strategy", "Product delivery" ], "domainKnowledge" : "Demand forecasting; Portfolio construction; Device portfolios; Quantitative science; Econometric models; Machine learning forecasts; Conjoint analyses; Causal inference; Consumer electronics; Hardware; Devices", "domainList" : [ "demand-forecasting", "portfolio-construction", "device-portfolios", "quantitative-science", "econometric-models", "machine-learning-forecasts", "conjoint-analyses", "causal-inference", "consumer-electronics", "hardware", "devices" ], "domainSpecificKnowledge" : [ "Demand forecasting", "Portfolio construction", "Device portfolios", "Quantitative science", "Econometric models", "Machine learning forecasts", "Conjoint analyses", "Causal inference", "Consumer electronics", "Hardware", "Devices" ], "communicationSkills" : "Clear narratives; Compelling narratives; Leadership reviews; Senior leadership", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "10+ years product/program management, Experience with feature delivery, Experience owning roadmap strategy, Experience with end to end product delivery, Contribute to engineering discussions, Bachelor's degree quantitative field, 5+ years data science/ML/quantitative analysis, Understand and evaluate statistical models, Define product strategy for data-intensive products, Influence senior leadership", "qualificationsPreferred" : "Experience working with Engineers, Experience in project management methodologies, Knowledge of methods for statistical inference, Experience directly managing scientists, Knowledge of data analysis languages, Master's degree or PhD quantitative discipline, Experience with demand forecasting, Experience in consumer electronics, MBA or equivalent business strategy experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced a Principal Technical Product Manager to own the product strategy and roadmap for quantitative analysis products within Decision Science. This leader will serve as the critical bridge between science teams and business stakeholders, translating complex model outputs into actionable business strategies for key device portfolios. The ideal candidate is equally comfortable interrogating the internals of a machine learning model as they are presenting portfolio strategy recommendations to senior Device leadership. This role requires a rare combination of scientific fluency, product management excellence, and business acumen. You will shape how Amazon Devices leverages quantitative science to make better, faster, and more impactful decisions — from pre-launch forecasting to portfolio optimization. Key job responsibilities In this role, you will: - Define and own the long-term product vision, strategy, and roadmap for quantitative analysis products that support demand forecasting, portfolio construction, and device economics; - Shape strategy for device portfolios by translating science-driven insights into actionable recommendations for product leadership; - Identify high-impact opportunities where quantitative methods can displace or augment judgment-based decision-making - Partner deeply with science teams to understand, evaluate, and challenge model methodologies, assumptions, and outputs — including econometric models, machine learning forecasts, conjoint analyses, and causal inference techniques - Dive deep into science model outputs to validate accuracy, identify edge cases, and ensure business applicability; and, - Translate complex quantitative concepts into clear, compelling narratives for non-technical stakeholders. - Conduct leadership reviews to present science-backed portfolio recommendations - Build and maintain strong relationships with cross-functional partners including supply chain, finance, marketing, and hardware engineering teams. - Establish mechanisms to measure the business impact of science-driven decisions and continuously improve model adoption and trust. About the team The Decision Science team replaces judgment-based decisions with science-driven forecasts and quantitative analysis. We partner with engineers, scientists, and product managers to apply advanced science to forecast demand and efficiently allocate Amazon Device products across the portfolio. We build and operate econometric and machine learning models that power lifetime demand forecasting, rapid reforecasting, mix adjustments, and portfolio optimization for product launches spanning eReaders, Tablets, Fire TV, Ring, Blink, and Alexa+-enabled devices. Basic Qualifications: - 10+ years of product or program management, product marketing, business development or technology experience - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Bachelor's degree in a quantitative field, or Bachelor's degree and 2+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - 5+ years of experience working directly with data science, machine learning, or quantitative analysis teams - Demonstrated ability to understand and critically evaluate statistical models, machine learning algorithms, and their business applications - Experience defining product strategy and roadmaps for data-intensive or analytics products - Track record of influencing senior leadership with data-driven recommendations Preferred Qualifications: - Experience working directly with Engineers on product enhancements - Experience in project management methodologies, business analysis, or process improvement - Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing) - Experience directly managing scientists or machine learning engineers - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software - Master's degree or PhD in a quantitative discipline (e.g., Economics, Statistics, Operations Research, Data Science) - Experience with demand forecasting, portfolio optimization, or econometric modeling in a product or business context - Experience in consumer electronics, hardware, or devices businesses - MBA or equivalent business strategy experience is a plus Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 206,900.00 - 279,900.00 USD annually USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually", "summaryDescription" : "Principal Product Manager - Tech, Devices Decision Science at Amazon.com Services LLC. Skills: Product strategy, Quantitative analysis, Machine learning, Roadmap definition. Define product vision, strategy, roadmap. Shape strategy for device portfolios", "postedDate" : "2026-06-13T13:38:55.540", "createdAt" : "2026-06-13T13:38:55.540", "lastUpdated" : "2026-06-15T04:29:08.372", "ingestTimestamp" : "2026-06-13T13:38:55.540", "mongoId" : "69f552ce4c40e2acd1fdd32c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409323/apply", "salaryAnnualMin" : 206000, "salaryAnnualMax" : 279000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Statistical modeling", "Machine learning algorithms", "Econometric modeling", "Causal inference", "Leadership", "Product strategy", "Machine learning", "Roadmap definition", "Business acumen", "Portfolio optimization", "Forecasting", "Business strategy", "Roadmap strategy", "Product delivery", "Demand forecasting", "Portfolio construction", "Device portfolios", "Quantitative science", "Econometric models", "Machine learning forecasts", "Conjoint analyses", "Consumer electronics", "Hardware", "Devices" ], "skillCount" : 25, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5fce74d8ee00a08eee11", "title" : "Senior Associate - Process Intelligence", "company" : "Future Standard", "industry" : "Financial Services", "salary" : { "min" : 1850000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Process Intelligence Associate in Financial Services in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-15T00:49:58.970", "fingerprint" : "9e66c65367c937c2285d1f6370b12573d71bdb72dcda545c6a8c8f38e3f2bfc0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/futurestandard/jobs/8566164002", "externalId" : "8566164002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Automation", "professionalSkills" : [ "Process engineering", "Workflow tooling", "Micro-portals" ], "hardSkillsList" : [ "Spec writing", "Code generation", "Testing discipline", "Production ownership" ], "hardSkills" : [ { "name" : "Spec writing", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Testing discipline", "level" : "intermediate" }, { "name" : "Production ownership", "level" : "intermediate" } ], "majorSkills" : "Process Intelligence, AI Engineering, Automation", "majorSkillsList" : [ "Process Intelligence", "AI Engineering", "Automation" ], "coreResponsibilities" : "Lead CoE transformation agenda, Build scalable delivery mechanisms, Ensure solutions meet requirements, Design automation services, Build AI-enabled services, Leverage AI assistants, Champion spec-driven development, Write functional requirements, Write non-functional requirements, Write acceptance criteria, Write edge cases, Write failure modes, Establish governed SDLC, Operate governed SDLC, Define AI engineering guardrails, Socialize AI engineering guardrails, Collaborate with CoreOps, Collaborate with business leaders, Prioritize use cases, Convert business problems, Embed solutions, Conduct code reviews, Mentor engineers, Build capability, Operate in fast-paced environment, Refine agent specs, Refine agent code, Refine agent outcomes, Build prompt libraries, Maintain prompt libraries, Define evaluation metrics, Run A tests, Maintain test evidence", "teamCollaboration" : "CoreOps; Business leaders", "projectManagementSkills" : [ "SDLC", "Change control", "Release discipline" ], "domainKnowledge" : "Process engineering; AI engineering; Workflow tooling; Micro-portals; Model risk mitigation; Human-in-the-loop", "domainList" : [ "process-engineering", "ai-engineering", "workflow-tooling", "micro-portals", "model-risk-mitigation", "human-in-the-loop" ], "domainSpecificKnowledge" : [ "Process engineering", "AI engineering", "Workflow tooling", "Micro-portals", "Model risk mitigation", "Human-in-the-loop" ], "toolProficiency" : [ "Claude", "Copilot" ], "innovationCreativity" : "AI focused approach; Cutting-edge technology innovation; Digital transformation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Mitigation strategies", "outcomesObjectives" : "Accelerate scaffolding; Accelerate iteration; Accelerate refactoring; Ensure solutions meet security requirements; Ensure solutions meet compliance requirements; Ensure solutions meet maintainability requirements; Agent performance remains stable", "qualificationsBasic" : "5+ years experience, Ability to influence across functions, Comfortable operating in fast-paced organization", "qualificationsPreferred" : "Experience with AI coding assistants", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Future Standard Future Standard (formerly FS Investments) is an alternative asset manager dedicated to delivering attractive returns across private equity, private credit and real estate. Following its 2023 acquisition of Portfolio Advisors, FS now manages over $86 billion for both institutional and wealth management clients around the world, drawing on 30 years of experience and operating across nine global offices. The firm’s investment professionals manage a wide range of differentiated strategies across private markets and collectively manage relationships with 300+ sponsors. Future Standard’s active partnership model creates a virtuous cycle of superior market insights and deal flow, which inform the underwriting process and help to generate strong returns. FS India Journey Future Standard India (FSINV Global Services Private Limited) established its Global Capability Centre (GCC) in Bengaluru, India in January 2025. This strategic initiative marks a significant milestone in the company’s global footprint, with the center serving as a hub for cutting-edge technology innovation and digital transformation. Located in the heart of India’s tech capital, the Bengaluru GCC is focused on developing best in class talent and delivering high-impact solutions across engineering, operations, Data science, AI. With a strong commitment to building a collaborative and agile work environment, FS India aims to harness local expertise to drive global innovation and long-term value. https://futurestandard.com/ About the Job This role leads the CoE’s transformation agenda with a AI focused approach towards process engineering, workflow tooling and micro-portals, and governed adoption across CoreOps verticals. The role is responsible for building scalable delivery mechanisms and ensuring solutions meet non-functional - security, compliance, and maintainability requirements. What you will be doing Design and build automation and AI‑enabled services, agents leveraging Claude, Copilot and other AI coding assistants to accelerate scaffolding, iteration, and refactoring—while retaining full engineering ownership Champion spec‑driven development: write crisp functional and non‑functional requirements, acceptance criteria, edge cases, and failure modes, and use these specs to drive Claude‑assisted code generation and review Establish and operate a governed SDLC for automation and AI solutions, including version‑controlled agents, code reviews, test evidence, change control, and release discipline Define and socialize AI engineering guardrails, including human‑in‑the‑loop requirements, prompt discipline, determinism where required, and explicit mitigation strategies for hallucination and model risk Collaborate with CoreOps and business leaders to prioritize use cases, convert ambiguous business problems into actionable technical specs, and embed solutions into day‑to‑day execution Deep code reviews, stringent controls with shift left mindset, mentor a team of process intelligence engineers, building strong capability in spec writing, Claude‑assisted development, testing discipline, and production ownership Operate in a fast‑paced environment with iterative releases, rapid feedback loops, POCs with preview level toolsets and continuous refinement of agent specs, code, and outcomes Build and maintain version-controlled prompt/agent libraries, define evaluation metrics, run A/B tests and prompt regression, and maintain test evidence so agent performance remains stable across model/tool changes. Qualifications ability to influence across functions Comfortable operating in a fast-paced, rapidly evolving organization Future Standard is a global alternative asset manager serving institutional and private wealth clients, investing across private equity, credit, real estate and infrastructure. With a 30+ year track record of value creation and $94 billion in assets under management, we back the business owners and financial sponsors that drive growth and innovation across the middle market, transforming untapped potential into durable value. Total AUM estimated as of March 31, 2026. Future Standard is an Equal Opportunity Employer. Future Standard does not accept unsolicited resumes from recruiters or search firms. Any resume or referral submitted in the absence of a signed agreement is property of Future Standard and no fee will be paid.", "summaryDescription" : "Senior Associate - Process Intelligence at Future Standard. Skills: Process Intelligence, AI Engineering, Automation. Lead CoE transformation agenda. 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Drive business development and deliver scalable, sustainable Data/AI solutions across revenue growth management, supply chain optimisation, sustainability and consumer intelligence, combining strategic insight with hands‑on programme leadership. * Trusted sector expert: Act as a recognised CPG & Retail authority, shaping the future of the consumer business through Agentic AI, data and digital innovation. * Accelerate AI adoption: Lead AI strategy, Agentic AI implementation and enterprise data management to fast‑track clients’ AI transition. * Tackle core industry challenges: Deliver solutions across revenue growth management, supply‑chain optimisation, sustainability and consumer intelligence. * Lead multidisciplinary delivery: Head cross‑functional teams across Deloitte, providing hands‑on leadership for complex transformation programmes. * Advise and grow client relationships: Serve as a key advisor to senior client stakeholders and drive business development to win strategic accounts. * Build scalable, sustainable solutions: Combine strategic insight with execution to deliver innovative, scalable Data/AI solutions that realise client ambitions. ## Qualifications As a Senior Manager, we expect you to have: * A Master’s degree in computer science, mathematics, business analytics, data science, AI or other STEM related. * 6–10 years of relevant experience in consulting and the Retail/CPG industry. * In-depth knowledge of the Retail/CPG market and technological trends. * In-depth knowledge of AI, Data Science, Data Management, and Data Analytics. * Knowledge of major AI/Data platforms such as Azure, AWS and Databricks. * A strong network within the Retail/CPG sector. * Excellent relationship builder and have the ability to be a trusted guide for our clients in challenging times. * Experience with commercial processes and closing contracts. * Excellent analytical, interpersonal, and communication skills in English (and preferably Dutch). ## Additional Information As a Senior Manager within our AI & Data team, with a focus on CPG and Retail (Consumer Business), you are a trusted expert in the sector. 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Advise senior stakeholders on AI strategy", "postedDate" : "2026-06-15T15:25:58.000", "createdAt" : "2026-06-15T23:52:35.940", "lastUpdated" : "2026-06-16T08:42:10.784", "ingestTimestamp" : "2026-06-15T23:52:35.940", "mongoId" : "6a306b15f292fd229cfcf413", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "AI strategy", "Data strategy", "AI implementation", "Data management", "Agentic AI implementation", "Revenue growth management", "Supply chain optimisation", "Sustainability", "Consumer intelligence", "Leadership", "AI Strategy", "Data Management", "Agentic AI", "Programme leadership", "Business development", "Strategic insight", "Client relationship management", "CPG market", "Retail market", "Consumer business" ], "skillCount" : 20, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056f9f292fd229cf31aa5", "title" : "Commercial Solution Engineer (AUS)", "company" : "Sigma Computing", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Commercial Solution Engineer in Sydney, Australia, adjusted for the SaaS industry." }, "location" : "Sydney, New South Wales, Australia", "locations" : [ "Sydney", "New South Wales", "Australia" ], "timestamp" : "2026-06-16T04:44:17.469", "fingerprint" : "825bb42a1007b86a50433768a21ea32d7e0a587197c59ed1fbd5f72a3f262943", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/sigmacomputing/jobs/7771841003", "externalId" : "7771841003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : false, "rawDescription" : "The Sigma Commercial Solutions Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solutions Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Customer Success, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes. You will align closely with our Commercial Sales Representatives focused on sales in new and existing accounts. What You Will Be Doing Understand and uncover business challenges and issues faced by the customer and be able to run targeted discovery sessions or workshops Engage with business users to define, create, and showcase solution prototypes Build and present customized demos for customers, trade shows, and webinars Confidently present and articulate the business value of the Sigma platform to all levels within an organization Deliver product, technical, and security related responses to RFPs/RFIs Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets Work as a team player by contributing, learning, and sharing new knowledge Be conversant in integration and data migration approaches to help customers develop their data lifecycle and analytics strategy with Sigma Manage multiple customer engagements concurrently Attain quarterly and annual objectives assigned by management Become a Sigma champion and product expert; prospects and customers will look to you for advice and expertise Qualifications We Need Minimum 2 years of analytics, business intelligence, or sales engineering experience Customer relationship skills Strong understanding of database concepts Understanding of advanced spreadsheet concepts Cloud data warehouse experience - Snowflake, Redshift, BigQuery Excellent organizational skills and ability to multitask in a fast-paced startup environment Experience implementing production business intelligence solutions or proof of concepts Bachelor’s degree in technical/analytics field or equivalent technical & business experience 10% Travel some day! Qualifications We Want (also, skills you’ll learn!) Experience at a SaaS company or with cloud architectures Experience with data analytics business use cases Startup experience ETL experience - Fivetran, Matillion or traditional ETL About us: Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. 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CAN - Toronto (HCCA)
123 Front Street West, 10th Floor
10th Floor
Toronto, M5J 2M3

" ], "certifications" : [ "Salesforce certifications" ], "timestamp" : "2026-06-16T03:30:10.050", "fingerprint" : "1b830a7d14476253e1e997ad4a09929f980f05806256b6812592902d29db415b", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=113243", "externalId" : "113243", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Salesforce, Apex, LWC, Flows, SOQL, SOSL, API, Git", "professionalSkills" : [ "System design", "SDLC", "Agile methodologies" ], "hardSkillsList" : [ "Salesforce development", "Integration development", "Release management", "Business analysis" ], "hardSkills" : [ { "name" : "Salesforce development", "level" : "intermediate" }, { "name" : "Integration development", "level" : "intermediate" }, { "name" : "Release management", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" } ], "majorSkills" : "Salesforce, CRM, Service Cloud, Experience Cloud", "majorSkillsList" : [ "Salesforce", "CRM", "Service Cloud", "Experience Cloud" ], "coreResponsibilities" : "Develop Salesforce solutions, Configure Salesforce solutions, Enhance Salesforce solutions, Support Salesforce platforms, Build custom components, Build Apex classes, Build Lightning Web Components, Build integrations, Build security models, Perform unit testing, Investigate defects, Resolve defects, Troubleshoot production issues, Monitor platform performance, Create technical documentation, Maintain technical documentation, Assist deployments, Perform deployments", "teamCollaboration" : "Development team; Architects; Business Managers", "projectManagementSkills" : [ "Agile", "SDLC" ], "domainKnowledge" : "Automotive finance; Consumer finance", "domainList" : [ "automotive-finance", "consumer-finance" ], "domainSpecificKnowledge" : [ "Automotive finance", "Consumer finance" ], "toolProficiency" : [ "JIRA" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Technical documentation; Data dictionaries; Architectural diagrams; Configuration guides; Integration documentation", "problemSolvingSkills" : "Problem-solving; Analytical skills; Root cause analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : ". Who We Are: Hyundai Capital Canada (HCCA) is the Canadian captive finance business for Hyundai Motor Group. We operate under the service brands Hyundai Motor Finance, Kia Motors Finance, and Genesis Finance. Through a network of over 450 Hyundai and Kia dealerships across Canada, we provide indirect vehicle financing and leasing solutions to consumers and commercial customers. Employee Value Prop and Culture: We foster a fast-paced, dynamic, agile, energized, and collaborative culture. Our employee programs and office design aim to create a connected, fun, positive, and rewarding environment where employees feel appreciated, proud of the company, and invested in HCCA’s success. Global One Company: Hyundai Capital operates globally with offices in South Korea, the United States, China, the United Kingdom, Germany, and Brazil. Our workplaces follow consistent themes that reflect our values: simplicity, collaboration, nature-inspired design, and symmetry. Position Details: The Manager, Digital Solutions is responsible for developing, configuring, enhancing, and supporting Hyundai Capital Canada’s Salesforce-based digital platforms. Working as part of a small development team and collaborating closely with Architects and Business Managers, this role focuses on maintaining, improving, and expanding the digital solutions that power HCCA’s Customer and Dealer Portals. Roles and Responsibilities: Develop, configure, and enhance Salesforce solutions across CRM, Service Cloud, and Experience Cloud, including building custom components, flows, Apex classes, Lightning Web Components (LWCs), integrations, and security models. Perform unit testing for all Salesforce configurations, customizations, and integrations. Investigate and resolve defects identified during QA and UAT. Troubleshoot and resolve production issues by reviewing logs, monitoring platform performance, and working with end users and business analysts to identify root causes. Create and maintain technical documentation, including data dictionaries, architectural diagrams, configuration guides, and integration documentation. Assist and perform deployments. Perform all other duties as assigned. 5+ years of hands-on experience developing and enhancing Salesforce solutions. Strong experience configuring and customizing Salesforce using Apex, LWC, Flows, SOQL, and related tools. Experience developing and maintaining integrations with AWS and external systems via APIs and middleware. Proven experience implementing and supporting Experience Cloud sites. Experience with Salesforce DevOps and Release Management using Git-based version control. Experience analyzing business requirements and translating them into technical solutions. Experience troubleshooting production issues using tools such as JIRA. Experience in automotive finance or consumer finance preferred. Education & Certification: Bachelor’s Degree in a relevant field or equivalent experience. Salesforce certifications preferred. Knowledge, Skills, & Abilities: Excellent technical proficiency across Salesforce CRM, Service Cloud, and Experience Cloud. Strong development skills in Apex, LWCs, SOQL, SOSL, and Flow Builder. Deep understanding of Salesforce data models, automation, security, and integration patterns. Strong understanding of SDLC and Agile methodologies. Strong ownership, communication skills, and ability to explain technical concepts clearly. Ability to work independently, manage multiple tasks, and deliver in a fast-paced environment. Highly detail-oriented with strong analytical and problem-solving skills. Hyundai Capital Canada Inc. is committed to acknowledge applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. This posting is for an active, existing vacancy. Hyundai Capital Canada is currently hiring for this role and applications are being reviewed as part of a live recruitment process. Canada-Ontario-Toronto", "summaryDescription" : "Manager, Digital Solutions at Hyundai Capital Canada. Skills: Salesforce, CRM, Service Cloud, Experience Cloud. Develop Salesforce solutions. Configure Salesforce solutions", "createdAt" : "2026-06-14T18:50:24.012", "lastUpdated" : "2026-06-16T03:30:10.050", "ingestTimestamp" : "2026-06-14T18:50:24.012", "mongoId" : "69fc49a74c40e2acd1a8342a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Salesforce development", "Integration development", "Release management", "Business analysis", "Salesforce", "CRM", "Service Cloud", "Experience Cloud", "System design", "SDLC", "Agile methodologies", "Agile", "Automotive finance", "Consumer finance", "Salesforce certifications", "JIRA" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a4fd974d8ee00a05f12a3", "title" : "Director of Solutions Engineering - US", "company" : "Airwallex", "industry" : "Merchant Services", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "US - San Francisco", "locations" : [ "US - San Francisco" ], "timestamp" : "2026-06-13T19:10:22.615", "fingerprint" : "9af1073fc18ae845ef19686b395efc4731c6948bf23940f03ab7f1c7a0a2930e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/airwallex/657e6088-c9a8-4a2a-8d7b-32af07b03327/application", "externalId" : "657e6088-c9a8-4a2a-8d7b-32af07b03327", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "API", "professionalSkills" : [ "Solutions architecture", "Technical sales", "Product roadmap", "GTM strategy", "Sales strategy", "Solution design", "Customer experience", "Product development", "Financial infrastructure" ], "hardSkillsList" : [ "E2E solution implementation", "Commercial performance ramp-up", "Product demonstrations", "Proofs-of-concept", "Solution designs", "Technical discovery", "Solutioning", "RFP responses", "Implementation lifecycle" ], "softSkillsList" : [ "Leadership", "Curiosity", "Humility" ], "hardSkills" : [ { "name" : "E2E solution implementation", "level" : "intermediate" }, { "name" : "Commercial performance ramp-up", "level" : "intermediate" }, { "name" : "Product demonstrations", "level" : "intermediate" }, { "name" : "Proofs-of-concept", "level" : "intermediate" }, { "name" : "Solution designs", "level" : "intermediate" }, { "name" : "Technical discovery", "level" : "intermediate" }, { "name" : "Solutioning", "level" : "intermediate" }, { "name" : "RFP responses", "level" : "intermediate" }, { "name" : "Implementation lifecycle", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Curiosity" }, { "name" : "Humility" } ], "majorSkills" : "Solutions Engineering, Sales Engineering, Solutions Architecture, GTM Strategy", "majorSkillsList" : [ "Solutions Engineering", "Sales Engineering", "Solutions Architecture", "GTM Strategy" ], "coreResponsibilities" : "Lead Solutions Engineering teams, Mentor Solutions Engineering teams, Scale Solutions Engineering teams, Foster technical excellence, Foster customer obsession, Foster collaboration, Develop global vision, Execute global strategy, Align with sales objectives, Align with growth objectives, Identify product development opportunities, Champion product feature creation, Champion reusable tool creation, Champion demo creation, Champion automation creation, Champion AI agent creation, Scale team efficiency, Scale customer self-service, Own technical sales strategy, Empower team to deliver demonstrations, Empower team to deliver POCs, Empower team to deliver solution designs, Solve customer challenges, Serve as executive partner, Influence product roadmap, Influence GTM strategy, Implement scalable processes, Implement playbooks, Implement best practices, Guide successful implementations, Represent Airwallex as technical leader, Build trust with stakeholders, Build credibility with stakeholders", "teamCollaboration" : "Partnering with Sales; Partnering with Product; Partnering with Engineering", "domainKnowledge" : "Payments ecosystem; Financial services; Fintech; Global payments platform; Financial infrastructure; Global banking", "domainList" : [ "payments-ecosystem", "financial-services", "fintech", "global-payments-platform", "financial-infrastructure", "global-banking" ], "domainSpecificKnowledge" : [ "Payments ecosystem", "Financial services", "Fintech", "Global payments platform", "Financial infrastructure", "Global banking" ], "communicationSkills" : "Executive communication; Presentation skills; Executive briefings", "innovationCreativity" : "Founder-like energy; Zero-to-one ideas", "problemSolvingSkills" : "Sharp thinking; First principles thinking; Solve problems faster", "outcomesObjectives" : "Drive global revenue growth", "qualificationsBasic" : "10+ years technical client-facing experience, 3+ years senior leadership experience, Background in engineering, Background in software development, Background in product, Hands-on designing complex software solutions, Hands-on delivering complex software solutions, Operationalizing build mandate, Strategic thinker, Deep understanding of enterprise sales cycles, Deep understanding of go-to-market motions, Position technical solution to solve business problems, Work with enterprise clients, Understand client business goals, Translate client needs into solutions, Build solutions on API-driven platform, Outstanding executive communication skills, Outstanding presentation skills, Articulate complex technical concepts", "qualificationsPreferred" : "Bachelor's degree in STEM, Knowledge of payments ecosystem, Knowledge of financial services, Knowledge of Fintech", "remoteFriendly" : true, "rawDescription" : "ABOUT AIRWALLEX Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. ATTRIBUTES WE VALUE We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles https://www.airwallex.com/us/operating-principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. THE TEAM Airwallex is seeking a visionary and strategic leader to become our Director, Solutions Engineering US. This is a critical leadership role responsible for leading our world-class solution engineering organisation across the US. This includes executive level pre-sales technical solution design, E2E solution implementation as well as proper post go-live commercial performance ramp-up for selective clients. You will be the driving force behind our technical go-to-market (GTM) strategy, scaling a high-performing team of Solutions Engineers and Solutions Architects who are instrumental in driving our global revenue growth. By partnering with Sales, Product, and Engineering leadership, you will shape the customer experience, influence our product roadmap, and solidify Airwallex's position as the leading financial infrastructure for modern businesses. WHAT YOU'LL DO - Lead, mentor, and scale our high-performing US Solutions Engineering teams, fostering a culture of technical excellence, customer obsession, and collaboration. - Develop and execute the global vision and strategy for the Solutions Engineering function, ensuring tight alignment with the company's overall sales and growth objectives. - Identify product development opportunities and champion their delivery; driving the creation of product features, reusable tools, demos, automation, and AI agents that scale the team's efficiency and customer self-service globally. - Own the technical sales strategy, empowering your team to deliver compelling product demonstrations, proofs-of-concept (POCs), and sophisticated solution designs that solve our customers' most complex challenges. - Serve as a key executive partner to the Sales and Product organisations, acting as the voice of the customer and the field to influence the product roadmap and GTM strategy. - Implement scalable processes, playbooks, and best practices for the entire pre-sales and implementation lifecycle, from technical discovery and solutioning to RFP responses and guiding successful implementations. - Represent Airwallex as a senior technical leader in key customer meetings, industry events, and executive briefings, building trust and credibility with C-level stakeholders. WHO YOU ARE - You have a significant track record of leading and scaling global or multi-regional Presales, Sales Engineering, or Solutions Architecture teams within the US, with 3+ years in a senior leadership capacity. - You bring 10+ years of experience in technical, client-facing roles. You have a background in engineering, software development, or product, and have been hands-on designing and delivering complex software solutions. - Proven track record of operationalizing a \"build\" mandate, focused on creating scalable, reusable assets like automated go-live validation tools, client health dashboards, or developer enablement tooling (e.g., AI Skills) that reduce implementation friction and improve customer adoption. - You are a strategic thinker with a deep understanding of enterprise sales cycles, go-to-market motions, and how to position a technical solution to solve core business problems. - You excel at working with enterprise clients, understanding their business goals, and translating their needs into tangible, creative solutions built upon a sophisticated API-driven platform. - You possess outstanding executive communication and presentation skills, capable of commanding a room and articulating complex technical concepts to both commercial and engineering audiences. - Strong knowledge of the payments ecosystem, financial services, or Fintech is highly advantageous. - Bachelor's degree in a STEM discipline preferred (Computer Science, Engineering, etc.) APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. EQUAL OPPORTUNITY Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.", "summaryDescription" : "Director of Solutions Engineering - US at Airwallex. Skills: Solutions Engineering, Sales Engineering, Solutions Architecture, GTM Strategy. Lead Solutions Engineering teams. Mentor Solutions Engineering teams", "postedDate" : "2026-06-11T16:40:35.436", "createdAt" : "2026-06-11T16:40:35.436", "lastUpdated" : "2026-06-13T19:10:22.615", "ingestTimestamp" : "2026-06-11T16:40:35.436", "mongoId" : "6a2a4fd974d8ee00a05f12a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "E2E solution implementation", "Commercial performance ramp-up", "Product demonstrations", "Proofs-of-concept", "Solution designs", "Technical discovery", "Solutioning", "RFP responses", "Implementation lifecycle", "Leadership", "Curiosity", "Humility", "Solutions Engineering", "Sales Engineering", "Solutions Architecture", "GTM Strategy", "Solutions architecture", "Technical sales", "Product roadmap", "GTM strategy", "Sales strategy", "Solution design", "Customer experience", "Product development", "Financial infrastructure", "Payments ecosystem", "Financial services", "Fintech", "Global payments platform", "Global banking" ], "skillCount" : 30, "jobCategory" : "other", "jobSubcategory" : "solutions-engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2a456b74d8ee00a05d2103", "title" : "Senior Decision Scientist", "company" : "Instructure", "industry" : "General & Administration", "salary" : { "min" : 911000.0, "max" : 1100000.0, "currency" : "MXN", "frequency" : "Yearly" }, "location" : "Mexico", "locations" : [ "Mexico" ], "timestamp" : "2026-06-14T21:22:50.610", "fingerprint" : "35021dcdab80df32321f0a7b39ed78dc91a1d974e37d0d9b945fe82ed9a3a406", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/instructure/5264e2b8-1854-44ce-91b2-77ba2f522395/application", "externalId" : "5264e2b8-1854-44ce-91b2-77ba2f522395", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Mexico", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AI tooling, Snowflake, Databricks, Fivetran", "professionalSkills" : [ "Data-driven insights", "Analytical initiatives", "Product adoption", "Customer engagement", "Revenue growth", "Experimental rigor", "Product strategy", "Business strategy", "Analytical frameworks", "Strategic recommendations", "Analytical solutions", "AI-first thinking", "Decision science", "Insight delivery", "Analytical quality", "Stakeholder engagement" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Causal inference", "Experimental design", "A/B testing", "Data analysis", "Data modeling", "Data visualization", "Model deployment", "Impact measurement" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Impact measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Decision Science, Machine Learning, Causal Inference, Experimentation", "majorSkillsList" : [ "Decision Science", "Machine Learning", "Causal Inference", "Experimentation" ], "coreResponsibilities" : "Drive business impact, Identify high-value opportunities, Improve product adoption, Improve customer engagement, Improve revenue growth, Lead experimentation, Lead causal analysis, Design A/B tests, Execute A/B tests, Design causal inference studies, Execute causal inference studies, Evaluate impact of new features, Evaluate impact of pricing strategies, Evaluate impact of go-to-market initiatives, Champion experimental rigor, Influence product strategy, Influence business strategy, Partner with product managers, Partner with engineers, Partner with marketing leaders, Partner with senior stakeholders, Translate business questions, Build analytical frameworks, Deliver strategic recommendations, Deliver end-to-end analytical solutions, Own analytical initiatives lifecycle, Build models, Deploy solutions, Measure impact, Design analysis approaches, Recommend solutions, Elevate standards, Elevate throughput, Leverage AI tooling, Leverage modern analytical techniques, Contribute to best practices, Define standards for experimentation, Define standards for modeling, Define standards for insight delivery, Raise analytical quality bar, Mentor data scientists, Mentor analysts, Demonstrate best practices, Communicate insights clearly, Communicate insights effectively, Translate complex findings, Deliver actionable recommendations", "teamCollaboration" : "Cross-functional environment; Senior stakeholders; Product managers; Engineers; Marketing leaders", "projectManagementSkills" : [ "Lead initiatives" ], "domainKnowledge" : "SaaS; Product analytics; EdTech", "domainList" : [ "saas", "product-analytics", "edtech" ], "domainSpecificKnowledge" : [ "SaaS", "Product analytics", "EdTech" ], "toolProficiency" : [ "Claude", "ChatGPT", "Glean" ], "communicationSkills" : "Storytelling; Executive leadership; Technical audiences; Non-technical audiences", "continuousLearning" : "Learning and development resources; Professional development tools; Tuition reimbursement", "innovationCreativity" : "AI-first thinking", "problemSolvingSkills" : "Data-driven insights; Analytical frameworks; Analytical solutions", "specialRequirements" : "Background check, Identity verification", "outcomesObjectives" : "Improve product adoption; Improve customer engagement; Improve revenue growth", "qualificationsBasic" : "Master's degree or PhD, 5–7 years of experience, Expertise in statistical modeling, Expertise in machine learning, Expertise in causal inference, Expertise in experimental design, Proficiency in SQL, Proficiency in Python or R", "qualificationsPreferred" : "PhD preferred, Experience in SaaS, Experience in product analytics, Experience in EdTech environments", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: As a Senior Decision Scientist, you will drive meaningful business outcomes by leading complex analytical initiatives and serving as a trusted partner to senior stakeholders. What you will do: - Drive business impact through data-driven insights. Identify and pursue high-value opportunities to improve product adoption, customer engagement, and revenue growth using advanced analytical and statistical methods. - Lead experimentation and causal analysis. Design and execute rigorous A/B tests and causal inference studies to evaluate the impact of new product features, pricing strategies, and go-to-market initiatives. Champion experimental rigor across teams. - Influence product and business strategy. Partner with product managers, engineers, marketing leaders, and senior stakeholders to translate complex business questions into structured analytical frameworks and deliver strategic recommendations. - Deliver end-to-end analytical solutions. Own the full lifecycle of analytical initiatives — from identifying opportunities and building models to deploying solutions and measuring impact. - Default to AI-first thinking. Design analysis approaches, recommend solutions, and elevate standards and throughput across the team by leveraging AI tooling and modern analytical techniques. - Contribute to decision science best practices. Help define standards for experimentation, modeling, and insight delivery that raise the bar for analytical quality across the organization. - Mentor and elevate peers. Guide data scientists and analysts by demonstrating best practices in methodology, communication, and stakeholder engagement. - Communicate insights clearly and effectively. Translate complex analytical findings into actionable recommendations for both technical and non-technical audiences, including executive leadership. WHAT YOU WILL NEED TO KNOW/HAVE: - Master's degree or PhD in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field. - 5–7 years of experience in data science, analytics, or a related discipline with a track record of delivering high-impact, cross-functional insights. - Expertise in statistical modeling, machine learning, causal inference, and experimental design (A/B testing). - Deep familiarity with AI tooling (Claude, ChatGPT, Glean) to improve throughput and analytical quality. - Strong proficiency in SQL for data extraction and manipulation. - Proficiency in Python or R for data analysis, modeling, and visualization. - Experience working with modern data platforms (e.g., Snowflake, Databricks, Fivetran). - Strong communication and storytelling skills with the ability to translate complex analyses into clear, strategic narratives. - Demonstrated ability to lead end-to-end data science initiatives from problem definition through deployment and measurement. - Experience in SaaS, product analytics, or EdTech environments is a plus. - Ability to operate independently while collaborating effectively in a fast-paced, cross-functional environment. Get in on all the awesome at Instructure! We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect: - Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success. - Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location. - Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs. - Comprehensive wellness programs and mental health support - Learning and development resources, including professional development tools and tuition reimbursement, to support your growth - The technology and tools you need to do your best work - Motivosity employee recognition program - A culture rooted in inclusivity, support, and meaningful connection We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes. Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate. All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws. Any attempt to misrepresent personal or professional information will result in disqualification.", "summaryDescription" : "Senior Decision Scientist at Instructure. Skills: Decision Science, Machine Learning, Causal Inference, Experimentation. Drive business impact. Identify high-value opportunities", "postedDate" : "2026-06-11T19:54:28.684", "createdAt" : "2026-06-11T19:54:28.684", "lastUpdated" : "2026-06-14T21:22:50.610", "ingestTimestamp" : "2026-06-11T19:54:28.684", "mongoId" : "6a2a456b74d8ee00a05d2103", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Causal inference", "Experimental design", "A/B testing", "Data analysis", "Data modeling", "Data visualization", "Model deployment", "Impact measurement", "Leadership", "Mentoring", "Decision Science", "Machine Learning", "Causal Inference", "Experimentation", "Data-driven insights", "Analytical initiatives", "Product adoption", "Customer engagement", "Revenue growth", "Experimental rigor", "Product strategy", "Business strategy", "Analytical frameworks", "Strategic recommendations", "Analytical solutions", "AI-first thinking", "Decision science", "Insight delivery", "Analytical quality", "Stakeholder engagement", "Lead initiatives", "SaaS", "Product analytics", "EdTech", "Claude", "ChatGPT", "Glean" ], "skillCount" : 39, "jobCategory" : "other", "jobSubcategory" : "general-&-administration", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false } ], "status" : 200, "message" : "associate manager us commercialization decision intelligence kda solutions jobs", "metadata" : { "title" : "associate manager us commercialization decision intelligence kda solutions" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 149050, "totalPages" : 2981, "hasNext" : true, "hasPrevious" : false } }

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