{ "count" : 136484, "data" : [ { "id" : "6a2176ba74d8ee00a0c1ab40", "title" : "Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements", "company" : "Amazon Web Services, Inc.", "industry" : "Data Science, Data Engineering, Cloud Computing", "salary" : { "min" : 154600.0, "max" : 209100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:43:46.876", "fingerprint" : "c76a879dbeb4f0eeb72cf66e4c547429421b00054afd935d73d1f1a16fec4b89", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439451/apply", "externalId" : "fc4812aa-f855-45de-94e4-9841e411fe26", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, GenAI, LLM, Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipeline development", "Data architecture", "Data transformation", "Data quality", "Data pipelines", "Feature stores", "Data products" ], "hardSkillsList" : [ "Data engineering", "Data modeling", "Data warehousing", "ETL pipelines", "SQL", "Scripting language", "Programming language", "Data infrastructure", "Data models", "Data quality monitoring", "Data validation", "Data auditing", "Data pipelines", "LLM data pipelines", "Data products", "Feature stores", "GenAI applications" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Scripting language", "level" : "intermediate" }, { "name" : "Programming language", "level" : "intermediate" }, { "name" : "Data infrastructure", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data auditing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "LLM data pipelines", "level" : "intermediate" }, { "name" : "Data products", "level" : "intermediate" }, { "name" : "Feature stores", "level" : "intermediate" }, { "name" : "GenAI applications", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data platform development, GenAI data solutions", "majorSkillsList" : [ "Data engineering", "Data platform development", "GenAI data solutions" ], "coreResponsibilities" : "Build backend data infrastructure, Maintain backend data infrastructure, Ensure data is clean, Ensure data is fresh, Optimize data for consumption, Lead architectural improvements, Simplify complex data systems, Simplify data transformations, Address data infrastructure deficiencies, Translate business problems to requirements, Partner with BIEs and product management, Define data products, Ensure data quality, Monitor data pipelines, Validate data pipelines, Audit data pipelines, Document data pipelines, Document data sources, Leverage AWS services, Leverage GenAI, Build next-generation data solutions, Improve efficiency, Unlock analytical capabilities, Build LLM data pipelines, Create data products for GenAI, Create feature stores for GenAI, Serve GenAI applications, Lead design reviews, Participate in design reviews", "teamCollaboration" : "Collaboration with Product Managers; Collaboration with BIEs; Collaboration with business partners; Partnering with stakeholders", "domainKnowledge" : "AWS services; GenAI; LLM", "domainList" : [ "aws-services", "genai", "llm" ], "domainSpecificKnowledge" : [ "AWS services", "GenAI", "LLM" ], "toolProficiency" : [ "AWS services", "GenAI" ], "communicationSkills" : "Business communication skills", "documentationSkills" : "Documentation of pipelines; Documentation of data sources", "innovationCreativity" : "Build next-generation data solutions; Unlock new analytical capabilities", "problemSolvingSkills" : "Translate business problem statements; Address deficiencies", "qualificationsBasic" : "5+ years data engineering, Data modeling experience, Warehousing experience, Building ETL pipelines, SQL experience, Python, Java, Scala, or NodeJS experience, Mentoring team members", "qualificationsPreferred" : "Big data technologies experience, Hadoop experience, Hive experience, Spark experience, EMR experience, Large data warehouses experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? If so, we are looking for a Sr. Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring alignment with AWS business objectives. In this role, you will be responsible for end-to-end development of data engineering solutions from the ground up. You should have expertise in the creation and management of datasets and the proven ability to translate data into meaningful insights through collaboration with Product Managers, Business Intelligence Engineers (BIEs), and business partners. You should be passionate about designing scalable analytics solutions for a fast-growing business. This is a high-visibility role. The right candidate will possess excellent business and communication skills, be able to work with business owners to translate business problem statements into technical requirements. You should have a solid understanding of how to build efficient and scalable data infrastructure and data models. The role will leverage generative AI and AWS services to raise the bar on how the team consumes and acts on data and build the next generation of AI-enabled data platform. Key job responsibilities - Build and maintain backend data infrastructure for analytical platforms and applications, ensuring data is clean, fresh, and optimized for downstream consumption - Lead architectural improvements that simplify complex data systems and transformations and proactively address deficiencies that create bottlenecks in the data infrastructure - Translate business problem statements into technical data requirements, partnering with BIEs and product management and stakeholders to define what data products to build - Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources - Leverage AWS services and GenAI to build next-generation data solutions that improve efficiency and unlock new analytical capabilities - Build data pipelines purpose-built for LLM consumption and create data products and feature stores that serve GenAI applications in near real-time - Lead design reviews for your team's data architecture and actively participate in design reviews of related software and data systems Basic Qualifications: - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses 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, NY, New York - 170,000.00 - 230,000.00 USD annually USA, VA, Arlington - 154,600.00 - 209,100.00 USD annually USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually", "summaryDescription" : "Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements at Amazon Web Services, Inc.. Skills: Data engineering, Data platform development, GenAI data solutions. Build backend data infrastructure. Maintain backend data infrastructure", "postedDate" : "2026-06-13T05:06:17.324", "createdAt" : "2026-06-13T05:06:17.324", "lastUpdated" : "2026-06-15T02:43:46.876", "ingestTimestamp" : "2026-06-13T05:06:17.324", "mongoId" : "6a2176ba74d8ee00a0c1ab40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439451/apply", "salaryAnnualMin" : 154600, "salaryAnnualMax" : 209100, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Data modeling", "Data warehousing", "ETL pipelines", "SQL", "Scripting language", "Programming language", "Data infrastructure", "Data models", "Data quality monitoring", "Data validation", "Data auditing", "Data pipelines", "LLM data pipelines", "Data products", "Feature stores", "GenAI applications", "Data platform development", "GenAI data solutions", "ETL pipeline development", "Data architecture", "Data transformation", "Data quality", "AWS services", "GenAI", "LLM" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693c2b8b70f0b99d5843fd96", "title" : "Sr. Product Manager Technical, Deal Tooling & Insights, Strategic Customer Engagements", "company" : "Amazon Web Services, Inc.", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, Cloud Computing", "salary" : { "min" : 136100.0, "max" : 235200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:04:46.539", "fingerprint" : "ff891ff69ef7f605065a92b31fc8930e3984e2f0d2b447ee8a7f67ddeba38bd7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138889/apply", "externalId" : "caa96ab8-fae8-427e-b861-251b2c1c2077", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, GenAI", "professionalSkills" : [ "Product strategy", "Deal strategy", "Pricing strategies", "Cloud economics", "Technical expertise", "Business acumen", "Analytical problem-solving" ], "hardSkillsList" : [ "Product management", "Technical development", "Data analysis" ], "softSkillsList" : [ "Strategic thinking", "Ownership", "Scrappiness" ], "hardSkills" : [ { "name" : "Product management", "level" : "intermediate" }, { "name" : "Technical development", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic thinking" }, { "name" : "Ownership" }, { "name" : "Scrappiness" } ], "majorSkills" : "Product management, Technical development, Generative AI", "majorSkillsList" : [ "Product management", "Technical development", "Generative AI" ], "coreResponsibilities" : "Own product feature lifecycle, Leverage product management expertise, Design innovative solutions, Develop generative AI features, Propose new features, Prioritize features and capabilities, Scale deal execution, Lead technical development, Contribute to development efforts, Define success metrics, Measure product performance, Quantify business impact, Translate technical concepts", "teamCollaboration" : "Cross-functional teams; Stakeholder collaboration; Senior leadership communication", "projectManagementSkills" : [ "Product roadmap", "Feature prioritization" ], "domainKnowledge" : "Cloud economics; Cloud adoption; Generative AI", "domainList" : [ "cloud-economics", "cloud-adoption", "generative-ai" ], "domainSpecificKnowledge" : [ "Cloud economics", "Cloud adoption", "Generative AI" ], "communicationSkills" : "Clear communication; Compelling communication", "continuousLearning" : "Learning new skills", "innovationCreativity" : "Product innovation; AI-driven solutions", "problemSolvingSkills" : "Analytical problem-solving", "outcomesObjectives" : "Deliver measurable business impact; Scale deal execution", "qualificationsBasic" : "Bachelor's degree, 5+ years technical product management, Experience building new tools, Experience with feature delivery, Experience working with global teams", "qualificationsPreferred" : "Contribute to engineering discussions, Manage and communicate results, Experience with AWS services, 3+ years hands-on technical experience, Experience with GenAI technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with new technologies and global clients. Are you passionate about driving product innovation and leveraging new technologies like generative AI to transform how AWS delivers value to customers? Do you want to have a direct impact on strategic deal-making and shape the future of cloud adoption? Are you excited to blend technical expertise with product strategy to solve complex business challenges? We are seeking a highly skilled Senior Product Manager - Technical to propose and own the development of new features and functionality within our broader platform. You will work closely with stakeholders to prioritize features and capabilities that scale our ability to execute transformative deals through automation and AI-driven solutions. The ideal candidate is a strategic thinker with deep technical expertise, a passion for learning new skills and experience in cloud-based or AI-driven product management. Successful candidates must have the ability to collaborate effectively across multiple technical and non-technical business units to deliver successfully against the highest standards. The ideal candidate will have strong technical skills with business acumen and be detail-oriented with excellent analytical problem-solving skills. A keen sense of end-to-end ownership, drive, and scrappiness is a must. Key job responsibilities In this role: • You will own the entire lifecycle of new product feature development, from initial concept through launch and beyond, ensuring continuous improvement through data-driven iteration and stakeholder feedback. • You will leverage both product management expertise and technical skills to understand complex business requirements, design innovative solutions, and develop generative AI-powered features that deliver measurable business impact. • You will propose and own the development of new features within our broader platform, working closely with stakeholders to prioritize features and capabilities that scale our ability to execute transformative deals through automation and AI-driven solutions. • You will lead the technical development of new product features, including hands-on contribution to development efforts, particularly in areas involving generative AI implementation and integration. • You will collaborate with Data Engineers, Product Managers, and other stakeholders to define success metrics, measure product performance, and quantify the business impact of new features and capabilities • You will translate complex technical concepts into clear, compelling communications for senior leadership About the team 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 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: - Bachelor's degree - 5+ years of technical product or program management experience - Experience in building and driving adoption of new tools - Experience with feature delivery and tradeoffs of a product - Experience working with global teams and diverse partners Preferred Qualifications: - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing, analyzing and communicating results to senior leadership - Experience with AWS services or other cloud offerings - 3+ years of hands-on technical experience in software development, data science, or related technical field - Experience in the application of GenAI technologies to drive operational efficiencies and speed to insights 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 $136,100/year in our lowest geographic market up to $235,200/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. Product Manager Technical, Deal Tooling & Insights, Strategic Customer Engagements at Amazon Web Services, Inc.. Skills: Product management, Technical development, Generative AI. Own product feature lifecycle. Leverage product management expertise", "postedDate" : "2026-06-13T03:36:24.479", "createdAt" : "2026-06-13T03:36:24.479", "lastUpdated" : "2026-06-15T03:04:46.539", "ingestTimestamp" : "2026-06-13T03:36:24.479", "mongoId" : "693c2b8b70f0b99d5843fd96", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138889/apply", "salaryAnnualMin" : 136100, "salaryAnnualMax" : 235200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product management", "Technical development", "Data analysis", "Strategic thinking", "Ownership", "Scrappiness", "Generative AI", "Product strategy", "Deal strategy", "Pricing strategies", "Cloud economics", "Technical expertise", "Business acumen", "Analytical problem-solving", "Product roadmap", "Feature prioritization", "Cloud adoption" ], "skillCount" : 17, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305649f292fd229cf26d3c", "title" : "Strategic Customer Engagements, Deal Team - Specialized, SCE", "company" : "AWS EMEA SARL (UK Branch)", "industry" : "Sales, Advertising, Account Management, Strategic Customer Engagements, Cloud Computing", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Strategic Customer Engagements roles in London, adjusted for the technology industry and company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-16T07:09:11.794", "fingerprint" : "cb0eb7b2ba7c038bf7ab54063dc2acc26b79313c8638806ed21557a68a7d6d90", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448955/apply", "externalId" : "13bcbdc2-aeb3-43f7-887e-0196b916b7a3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services (AWS) is seeking a Deal Specialist for the Strategic Customer Engagements (SCE) team. This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS and to establish AWS as their key cloud technology provider. As a Deal Specialist you will partner with AWS Service teams to develop commercial business models. You will inspire and influence AWS customers, field sales executives, and other internal stakeholders to empower our customers to address business challenges and develop innovative solutions. As a Deal Specialist you will create actionable strategies, develop and shape opportunities, and lead large, complex, or highly competitive deal engagements through negotiations and closure. You will continuously pressure-test whether those frameworks still reflect the environment in which you are operating. This highly visible role will own alignment with C-level executives, IT teams, and multiple lines of business to achieve business outcomes, increase the adoption of AWS services, and enable private pricing, go-to-market, pan-Amazon, and other strategic relationships. Key job responsibilities • Act as trusted advisor and thought leader in the development of commercial strategy and deals: partner in the execution of the deal sales cycle for strategic commercial opportunities. • Partner closely with AWS Service teams to understand services and pricing: create sustainable and scalable frameworks that impact customer outcomes. • Inspire and influence key internal stakeholders, experts, and other indirect resources to remove barriers, drive efficiencies, and achieve desired business outcomes. • Advise and construct commercial deal terms: understand the competitive landscape and provide deal guidance. • Facilitate alignment and effective AWS communication with internal and external stakeholders to resolve conflict. • Cultivate best practices through analysis and reporting in support of continuous improvements • Proactively re-evaluate existing processes and decision-making frameworks: build scalable mechanisms, test the assumptions behind them, and evolve them as conditions change. A day in the life You will lead deal engagements through qualification, negotiation, and closure. You will work with field sales executives and internal stakeholders to shape opportunities and remove blockers. You will partner with AWS Service teams to understand their business and technical priorities and translate those into scalable commercial models. You will build new mechanisms that drive outcomes at scale and assess existing mechanisms to determine if they are still required and relevant. About the team 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, 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: - Experience working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals from opportunity through closure - Experience formulating competitive financial models (e.g., cash flow, NPV, deal comparisons, etc.) to use as comparative tools to grow opportunities - Experience leading cross-functional teams to establish strong partnerships with demonstrable results - Experience influencing internal and external stakeholders - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Bachelor's degree or equivalent - - Proven expertise in building financial and pricing models to support competitive strategic, large, complex or highly competitive deals, or proven expertise in building financial models, leveraged to support equivalent business outcomes Preferred Qualifications: - Experience establishing metrics for measurement of engineering and operational excellence - Direct field experience in working with enterprise or commercial accounts. - • Experience in project managing high-performance, highly-available and scalable systems. - • Advanced degree in a Quantitative Field, MBA, or equivalent relevant experience - • Strong written and verbal communication skills with an emphasis on delivering high quality document 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" : "Strategic Customer Engagements, Deal Team - Specialized, SCE at AWS EMEA SARL (UK Branch)", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:57:39.813", "lastUpdated" : "2026-06-16T07:09:11.794", "ingestTimestamp" : "2026-06-15T21:57:39.813", "mongoId" : "6a305649f292fd229cf26d3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448955/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145374d8ee00a00bb3a5", "title" : "Strategic Customer Engagements, Deal Team", "company" : "Amazon Web Services, Inc.", "industry" : "Sales, Advertising, Account Management, Strategic Customer Engagements, Cloud Computing", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:27:42.696", "fingerprint" : "580a019d4a4bf0940dcaf2e5cde327a33f6be5a9a9a2f528e8a0805eb3550ecf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441394/apply", "externalId" : "b1ee6426-c0eb-4047-b6e0-02817c3389f7", "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", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Deal structuring", "Pricing strategies", "Commercial models" ], "hardSkillsList" : [ "Financial modeling", "Deal structuring", "Pricing negotiation" ], "softSkillsList" : [ "Trusted advisor", "Thought leader", "Negotiation" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Deal structuring", "level" : "intermediate" }, { "name" : "Pricing negotiation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Trusted advisor" }, { "name" : "Thought leader" }, { "name" : "Negotiation" } ], "majorSkills" : "Deal strategy, Financial modeling, Negotiation", "majorSkillsList" : [ "Deal strategy", "Financial modeling", "Negotiation" ], "coreResponsibilities" : "Develop commercial business models, Inspire and influence customers, Influence field sales executives, Create actionable strategies, Develop and shape opportunities, Lead deal engagements, Negotiate complex deals, Achieve business outcomes, Increase adoption of AWS services, Enable private pricing, Enable go-to-market strategies, Enable pan-Amazon relationships, Enable strategic relationships, Act as trusted advisor, Develop commercial strategy, Execute deal sales cycle, Partner with AWS Service teams, Understand services and pricing, Create frameworks for customer outcomes, Influence key internal stakeholders, Remove barriers to achieve outcomes, Advise and construct commercial deal terms, Understand competitive landscape, Provide deal guidance, Facilitate alignment with stakeholders, Facilitate AWS communication, Resolve conflict, Encourage productive interactions, Cultivate best practices, Analyze performance, Report on performance", "teamCollaboration" : "Partner with AWS Service teams; Collaborate with field sales teams; Partner with internal stakeholders; Partner with other Amazon stakeholders", "domainKnowledge" : "Cloud economics; Cloud services; Cloud infrastructure; Financial Services; Telecommunications; Media & Entertainment; Energy; Healthcare Life Sciences; Automotive; Manufacturing; Public Sector", "domainList" : [ "cloud-economics", "cloud-services", "cloud-infrastructure", "financial-services", "telecommunications", "media-entertainment", "energy", "healthcare-life-sciences", "automotive", "manufacturing", "public-sector" ], "domainSpecificKnowledge" : [ "Cloud economics", "Cloud services", "Cloud infrastructure", "Financial Services", "Telecommunications", "Media & Entertainment", "Energy", "Healthcare Life Sciences", "Automotive", "Manufacturing", "Public Sector" ], "communicationSkills" : "Executive presentations; Client communication", "problemSolvingSkills" : "Strategic thinking", "outcomesObjectives" : "Drive cloud adoption; Accelerate growth; Increase efficiency; Unlock new business capabilities; Drive sustainable growth; Achieve business outcomes; Increase adoption of AWS services", "qualificationsBasic" : "3+ years financial modeling, 7+ years deal structuring experience", "qualificationsPreferred" : "Direct field experience, Enterprise account experience, Commercial account experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with emerging technologies and global clients. Amazon Web Services (AWS) is seeking a member for the Strategic Customer Engagements (SCE) team. SCE is a specialized global deal team that engages with commercial and public sector customers on deal strategy, structuring, and negotiations through contractual closure for transformational, strategic, large, complex, and/or highly competitive opportunities. SCE engages directly with customers and AWS leadership to drive cloud initiatives that will accelerate growth, increase efficiency, and unlock new business capabilities. By collaborating closely with our field sales teams, SCE Deal Specialist’s at AWS leverage their expertise in deal structuring, negotiating private pricing that drives sustainable growth and value for both our customers and AWS, and strategic methodologies to navigate customer pain points, gain credibility, and effectively partner with the sales organization. This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS (Americas/EMEA/APJ), and to establish AWS as their key cloud technology provider. These opportunities range across industry verticals, such as Financial Services, Telecommunications, Media & Entertainment, Energy, Healthcare Life Sciences, Automotive and Manufacturing, and Public Sector, and customer size (from start-ups to enterprise customers). These engagements may also involve Pan-Amazon and AWS go-to-market opportunities involving close partnership between the SCE global deal team and other Amazon and AWS stakeholders. We are a dynamic team passionate about managing transformational deals. As a Deal Specialist you will partner with AWS Service teams to develop commercial business models. You will inspire and influence AWS customers, field sales executives, and other internal stakeholders to empower our customers to address business challenges and develop innovative solutions. As a Deal Specialist you will create actionable strategies, develop and shape opportunities, and lead large, complex, or highly competitive deal engagements through negotiations and closure. This highly visible role will own alignment with C-level executives, IT teams, and multiple lines of business to achieve business outcomes, increase the adoption of AWS services, and enable private pricing, go-to-market, pan-Amazon, and other strategic relationships. Key job responsibilities • Act as trusted advisor and thought leader in the development of commercial strategy and deals: partner in the execution of the deal sales cycle for strategic commercial opportunities. • Partner closely with AWS Service teams to understand services and pricing: create frameworks that impact customer outcomes. • Inspire and influence key internal stakeholders, experts, and other indirect resources to remove barriers and achieve desired business outcomes • Advise and construct commercial deal terms: understand the competitive landscape and provide deal guidance • Facilitate alignment and effective AWS communication with internal and external stakeholders to resolve conflict and encourage develop productive interactions • Cultivate best practices through analysis and reporting in support of continuous improvements Basic Qualifications: - Experience formulating competitive financial models (e.g., cash flow, NPV, deal comparisons, etc.) to use as comparative tools to grow opportunities - Experience working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals from opportunity through closure - 3+ years financial modeling - 7+ years demonstrated success working with customers on the structuring of substantial, strategic, and complex software or cloud services/infrastructure deals (relative to industry and market size) from opportunity through closure Preferred Qualifications: - Direct field experience in working with enterprise or commercial accounts. 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, restricted stock units (RSUs), and sales incentives. 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 - 157,100.00 - 212,600.00 USD annually USA, GA, Atlanta - 142,800.00 - 193,200.00 USD annually USA, IL, Chicago - 142,800.00 - 193,200.00 USD annually USA, MA, Boston - 142,800.00 - 193,200.00 USD annually USA, NY, New York - 157,100.00 - 212,600.00 USD annually USA, TX, Austin - 142,800.00 - 193,200.00 USD annually USA, TX, Dallas - 142,800.00 - 193,200.00 USD annually USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually USA, VA, Herndon - 142,800.00 - 193,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Strategic Customer Engagements, Deal Team at Amazon Web Services, Inc.. Skills: Deal strategy, Financial modeling, Negotiation. Develop commercial business models. Inspire and influence customers", "postedDate" : "2026-06-13T14:20:43.393", "createdAt" : "2026-06-13T14:20:43.393", "lastUpdated" : "2026-06-15T06:27:42.696", "ingestTimestamp" : "2026-06-13T14:20:43.393", "mongoId" : "6a25145374d8ee00a00bb3a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441394/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Deal structuring", "Pricing negotiation", "Trusted advisor", "Thought leader", "Negotiation", "Deal strategy", "Pricing strategies", "Commercial models", "Cloud economics", "Cloud services", "Cloud infrastructure", "Financial Services", "Telecommunications", "Media & Entertainment", "Energy", "Healthcare Life Sciences", "Automotive", "Manufacturing", "Public Sector" ], "skillCount" : 20, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Services" }, { "id" : "69fda4e24c40e2acd1b99683", "title" : "Strategic Customer Engagements, Deal Team - Specialized", "company" : "Amazon Web Services, Inc.", "industry" : "Sales, Advertising, Account Management, Strategic Customer Engagements, Cloud Computing", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:35:40.682", "fingerprint" : "b0cd183aa4c449c7aebcf32a627940e291f1e59eb8c7cbf186eb4c07fac2be0a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414287/apply", "externalId" : "507a3a2b-747c-4647-ad56-9fb234bfaebf", "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", "professionalSkills" : [ "Deal structuring", "Negotiation", "Pricing strategies", "Cloud economics", "Commercial business models" ], "hardSkillsList" : [ "Financial modeling", "Deal negotiation" ], "softSkillsList" : [ "Trusted advisor", "Thought leader" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Deal negotiation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Trusted advisor" }, { "name" : "Thought leader" } ], "majorSkills" : "Deal strategy, Pricing, Negotiation", "majorSkillsList" : [ "Deal strategy", "Pricing", "Negotiation" ], "coreResponsibilities" : "Develop commercial business models, Inspire and influence customers, Influence field sales executives, Influence internal stakeholders, Create actionable strategies, Develop opportunities, Shape opportunities, Lead deal engagements, Negotiate deals, Close deals, Own alignment with executives, Achieve business outcomes, Increase adoption of AWS services, Enable private pricing, Enable go-to-market strategies, Enable pan-Amazon relationships, Enable strategic relationships, Partner in deal sales cycle, Understand services and pricing, Create frameworks for customer outcomes, Remove barriers, Achieve desired business outcomes, Advise commercial deal terms, Construct commercial deal terms, Provide deal guidance, Facilitate alignment, Encourage productive interactions, Cultivate best practices, Analyze performance, Report on performance", "teamCollaboration" : "Partner with AWS Service teams; Collaborate with sales organization; Partner with field sales teams; Engage with AWS leadership; Partner with other Amazon stakeholders; Partner with AWS stakeholders", "domainKnowledge" : "Cloud economics; Cloud services; Cloud infrastructure; Financial Services; Telecommunications; Media & Entertainment; Energy; Healthcare Life Sciences; Automotive; Manufacturing; Public Sector", "domainList" : [ "cloud-economics", "cloud-services", "cloud-infrastructure", "financial-services", "telecommunications", "media-entertainment", "energy", "healthcare-life-sciences", "automotive", "manufacturing", "public-sector" ], "domainSpecificKnowledge" : [ "Cloud economics", "Cloud services", "Cloud infrastructure", "Financial Services", "Telecommunications", "Media & Entertainment", "Energy", "Healthcare Life Sciences", "Automotive", "Manufacturing", "Public Sector" ], "communicationSkills" : "Present to executives; Negotiate with executives", "outcomesObjectives" : "Drive cloud adoption; Drive business growth; Accelerate growth; Increase efficiency; Unlock new business capabilities; Drive sustainable growth; Drive value for customers; Drive value for AWS; Increase growth of AWS", "qualificationsBasic" : "Bachelor's degree or equivalent work experience, 3+ years financial modeling, 7+ years deal structuring experience, Experience formulating financial models, Experience working with customers on complex deals, Experience negotiating with C-level executives", "qualificationsPreferred" : "Advanced degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Jun 6, 2026 At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with emerging technologies and global clients. Amazon Web Services (AWS) is seeking a member for the Strategic Customer Engagements (SCE) team. SCE is a specialized global deal team that engages with commercial and public sector customers on deal strategy, structuring, and negotiations through contractual closure for transformational, strategic, large, complex, and/or highly competitive opportunities. SCE engages directly with customers and AWS leadership to drive cloud initiatives that will accelerate growth, increase efficiency, and unlock new business capabilities. By collaborating closely with our field sales teams, SCE Deal Specialist’s at AWS leverage their expertise in deal structuring, negotiating private pricing that drives sustainable growth and value for both our customers and AWS, and strategic methodologies to navigate customer pain points, gain credibility, and effectively partner with the sales organization. This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS (Americas/EMEA/APJ), and to establish AWS as their key cloud technology provider. These opportunities range across industry verticals, such as Financial Services, Telecommunications, Media & Entertainment, Energy, Healthcare Life Sciences, Automotive and Manufacturing, and Public Sector, and customer size (from start-ups to enterprise customers). These engagements may also involve Pan-Amazon and AWS go-to-market opportunities involving close partnership between the SCE global deal team and other Amazon and AWS stakeholders. We are a dynamic team passionate about managing transformational deals. As a Deal Specialist you will partner with AWS Service teams to develop commercial business models. You will inspire and influence AWS customers, field sales executives, and other internal stakeholders to empower our customers to address business challenges and develop innovative solutions. As a Deal Specialist you will create actionable strategies, develop and shape opportunities, and lead large, complex, or highly competitive deal engagements through negotiations and closure. This highly visible role will own alignment with C-level executives, IT teams, and multiple lines of business to achieve business outcomes, increase the adoption of AWS services, and enable private pricing, go-to-market, pan-Amazon, and other strategic relationships. Key job responsibilities • Act as trusted advisor and thought leader in the development of commercial strategy and deals: partner in the execution of the deal sales cycle for strategic commercial opportunities. • Partner closely with AWS Service teams to understand services and pricing: create frameworks that impact customer outcomes. • Inspire and influence key internal stakeholders, experts, and other indirect resources to remove barriers and achieve desired business outcomes • Advise and construct commercial deal terms: understand the competitive landscape and provide deal guidance • Facilitate alignment and effective AWS communication with internal and external stakeholders to resolve conflict and encourage develop productive interactions • Cultivate best practices through analysis and reporting in support of continuous improvements Basic Qualifications: - Experience formulating competitive financial models (e.g., cash flow, NPV, deal comparisons, etc.) to use as comparative tools to grow opportunities - Experience working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals from opportunity through closure - Experience working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, legal and internal stakeholders for sizeable commercial/enterprise deals - Bachelor's degree in a relevant field or equivalent work experience - 3+ years financial modeling - 7+ years demonstrated success working with customers on the structuring of substantial, strategic, and complex software or cloud services/infrastructure deals (relative to industry and market size) from opportunity through closure Preferred Qualifications: - Advanced degree - Knowledge of technology principles and services including infrastructure, business applications, data management, security, application platforms, and consumer-facing technology - Direct field experience in working with enterprise or commercial accounts. 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, restricted stock units (RSUs), and sales incentives. 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 - 157,100.00 - 212,600.00 USD annually USA, CO, Denver - 142,800.00 - 193,200.00 USD annually USA, IL, Chicago - 142,800.00 - 193,200.00 USD annually USA, NY, New York - 157,100.00 - 212,600.00 USD annually USA, TX, Dallas - 142,800.00 - 193,200.00 USD annually USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Strategic Customer Engagements, Deal Team - Specialized at Amazon Web Services, Inc.. Skills: Deal strategy, Pricing, Negotiation. Develop commercial business models. Inspire and influence customers", "postedDate" : "2026-06-13T02:12:45.603", "createdAt" : "2026-06-13T02:12:45.603", "lastUpdated" : "2026-06-15T01:35:40.682", "ingestTimestamp" : "2026-06-13T02:12:45.603", "mongoId" : "69fda4e24c40e2acd1b99683", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414287/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Deal negotiation", "Trusted advisor", "Thought leader", "Deal strategy", "Pricing", "Negotiation", "Deal structuring", "Pricing strategies", "Cloud economics", "Commercial business models", "Cloud services", "Cloud infrastructure", "Financial Services", "Telecommunications", "Media & Entertainment", "Energy", "Healthcare Life Sciences", "Automotive", "Manufacturing", "Public Sector" ], "skillCount" : 21, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2176ba74d8ee00a0c1ab39", "title" : "Strategic Customer Engagements, GTM Deal Lead, GDSP", "company" : "Amazon Web Services, Inc.", "industry" : "Sales, Advertising, Account Management, Strategic Customer Engagements, Cloud Computing", "salary" : { "min" : 170000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Chicago, Illinois, USA", "locations" : [ "Chicago, Illinois, USA" ], "timestamp" : "2026-06-15T05:41:08.760", "fingerprint" : "ca6ff4229f2a21ba6309fc99612807b7ea341174d16e36bd3cd976943e822bbf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439453/apply", "externalId" : "8baafd56-dc38-43c9-8d99-55d4b933b370", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Deal strategy", "Deal structuring", "Deal negotiation", "Deal closure", "Financial modeling", "Risk assessment", "Performance metrics", "Sales methodology" ], "hardSkillsList" : [ "Cloud economics", "Business deals analysis", "Competitive situation analysis", "Commercial negotiation", "Contractual legal matters" ], "softSkillsList" : [ "Negotiation" ], "hardSkills" : [ { "name" : "Cloud economics", "level" : "intermediate" }, { "name" : "Business deals analysis", "level" : "intermediate" }, { "name" : "Competitive situation analysis", "level" : "intermediate" }, { "name" : "Commercial negotiation", "level" : "intermediate" }, { "name" : "Contractual legal matters", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" } ], "majorSkills" : "Deal strategy, Deal structuring, Negotiation, Closure", "majorSkillsList" : [ "Deal strategy", "Deal structuring", "Negotiation", "Closure" ], "coreResponsibilities" : "Drive engagement for strategic collaborations, Lead deal cycle phases, Set objectives with partner and account team, Analyze key data, Ensure executive alignment and governance, Provide advice on competitive situation, Create actionable strategy, Lead engagement with customer, Distill business objectives, Develop and execute deal structures, Maximize value of opportunity, Negotiate high-stakes customer deals, Understand impact of business terms, Provide alternative solutions, Ensure alignment across stakeholders, Bring contractual/legal matters to closure, Brief senior management, Act as trusted advisor, Act as thought leader, Produce financial models, Produce risk assessments, Produce performance metrics, Dive deep into customers’ business needs, Tailor deal structures, Inspire and influence internal stakeholders, Remove obstacles to drive deal momentum, Deliver seamless execution, Facilitate alignment within sales team, Facilitate effective AWS communication, Resolve conflicts, Encourage harmonious interaction, Monitor and analyze industry trends, Monitor and analyze competitive landscapes, Inform deal strategy, Identify high-potential opportunities, Ensure disciplined sales methodology application, Achieve consistent financial results, Achieve accurately forecasted financial results, Cultivate best practices, Support continuous improvement, Work with key internal stakeholders", "teamCollaboration" : "Partner and account team; Finance and analytics teams; Internal stakeholders; Sales team; Internal/external key partners/customers; AWS Partner Organization; Finance; Operations; Legal teams", "projectManagementSkills" : [ "Deal cycle management" ], "domainKnowledge" : "Cloud economics; Cloud adoption; Pricing strategies; Go To Market strategy; Strategic collaborations; GenAI", "domainList" : [ "cloud-economics", "cloud-adoption", "pricing-strategies", "go-to-market-strategy", "strategic-collaborations", "genai" ], "domainSpecificKnowledge" : [ "Cloud economics", "Cloud adoption", "Pricing strategies", "Go To Market strategy", "Strategic collaborations", "GenAI" ], "communicationSkills" : "Executive alignment; Briefing senior management", "problemSolvingSkills" : "Analyze opportunities; Simplify complex scenarios; Data-driven decision-making", "outcomesObjectives" : "Maximize value for customers and AWS; Ensure data-driven decision-making; Ensure scalability; Drive deal momentum; Deliver seamless execution; Achieve consistent financial results; Achieve accurately forecasted financial results; Support continuous improvement", "qualificationsBasic" : "Senior Deal Lead experience, Deal strategist background, Negotiator background, Technology sales experience, Developing GTM strategic collaborations, Proven collaborator across multiple stakeholders, Engaging at partner/customer C-suite levels", "qualificationsPreferred" : "Experience in cloud economics, Strategic thinking expertise", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with cutting-edge technologies and global clients. Do you have an aptitude for analyzing opportunities and creating high-impact, innovative business deals? Can you take complex scenarios and simplify them down to the essentials while building consensus across broad stakeholder groups? Strategic Customer Engagements (SCE) is seeking a senior Deal Lead to drive engagement and lead the various critical phases of the Deal Cycle (Strategy, Structuring, Negotiations, and Closure) for Strategic Collaborations. This role has Americas responsibility, is highly partner and customer facing, and will work closely with Amazon customers, partners, Partner Network (APN) programs teams, partner segment leaders, and sales leaders. The ideal candidate will possess a deal strategist and negotiator background, and experience in technology sales with customers and partners, and developing Go To Market (GTM) strategic collaborations, and be a proven collaborator across multiple stakeholders including engaging at partner/customer C-suite levels. Strategy: This individual will work with the Partner and Account Team to set objectives, analyze key data and ensure executive alignment and governance. The individual will be able to provide advice on the competitive situation, create an actionable strategy, and lead engagement with the customer. Structure: You will be able to distill business objectives in service of developing and executing deal structures that maximize the value of the opportunity for both customers and AWS. Negotiations: You will be experienced with high-stakes customer negotiations, including commercial aspects of the deal structure. The individual understands the impact of business terms and pricing and can provide alternative solutions to ensure alignment across internal and external stakeholders. Closure: Will be able to bring to closure, in partnership with the customer and partner/account team and legal teams, any contractual/legal matters for the deal, including briefing senior management. Key job responsibilities • Act as trusted advisor and thought leader in the development of the strategy and execution of the sales and GTM deal cycle (strategy, structuring, negotiation, and closure) for strategic, complex, or highly competitive partner and channel opportunities. • Collaborate with finance and analytics teams to produce financial models, risk assessments and performance metrics that will guide each deal, ensuring data-driven decision-making and scalability. • Dive Deep into customers’ business needs and obstacles, tailoring deal structures that are mutually beneficial to all parties. • Inspire and influence internal stakeholders, experts and other resources not under direct control, proactively removing obstacles to drive deal momentum and deliver seamless execution. • Facilitate alignment and effective AWS communication within sales team and internal/external key partners/customers and promptly resolve any conflicts to encourage harmonious and productive interaction. • Continuously monitor and analyze industry trends and competitive landscapes to inform deal strategy and identify high-potential opportunities. • Ensure disciplined sales methodology application across management groups, resulting in consistent and accurately forecasted financial results. • Cultivate best practices through analysis and reporting in support of continuous improvement. • Work with key internal stakeholders (e.g. AWS Partner Organization, finance, operations, legal, etc.) as needed. A day in the life SCE is a specialized global deal team that engages with commercial and public sector customers on deal strategy, structuring, and negotiations through contractual closure for transformational, strategic, large, complex, and/or highly competitive opportunities such as GenAI. This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS (Americas/EMEA/APJ), and to establish AWS as their key cloud technology provider. These opportunities range across industry verticals, such as Financial Services, Telecommunications, Media & Entertainment, Energy, Healthcare Life Sciences, Automotive and Manufacturing, and Public Sector, and customer size (from start-ups to enterprise customers). These engagements may also involve Pan-Amazon and AWS go-to-market opportunities involving close partnership between the SCE team and other Amazon and AWS stakeholders. 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: - Experience working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, legal and internal stakeholders for sizeable commercial/enterprise deals - 12+ years of technology related sales, business development or equivalent experience - 5+ years of experience in business consulting, GTM/strategic collaboration deals with technology and/or services partners Preferred Qualifications: - Advanced degree or equivalent relevant experience - Direct field experience and knowledge of AWS products and services - Demonstrated success in structuring, negotiating, and closing large-scale, high-impact partnership deals - Proven track record of managing and streamlining complex processes with a close attention to detail - Understanding of the Global/SI business model and ISV partnerships - Strong written and verbal presentation skills and the ability to articulate complex concepts to cross-functional audiences. 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, restricted stock units (RSUs), and sales incentives. 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 - 187,000.00 - 252,900.00 USD annually USA, FL, Tampa - 170,000.00 - 230,000.00 USD annually USA, GA, Atlanta - 170,000.00 - 230,000.00 USD annually USA, IL, Chicago - 170,000.00 - 230,000.00 USD annually USA, MA, Boston - 170,000.00 - 230,000.00 USD annually USA, NY, New York - 187,000.00 - 252,900.00 USD annually USA, TX, Austin - 170,000.00 - 230,000.00 USD annually USA, TX, Dallas - 170,000.00 - 230,000.00 USD annually USA, VA, Herndon - 170,000.00 - 230,000.00 USD annually USA, WA, Seattle - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Strategic Customer Engagements, GTM Deal Lead, GDSP at Amazon Web Services, Inc.. Skills: Deal strategy, Deal structuring, Negotiation, Closure. Drive engagement for strategic collaborations. Lead deal cycle phases", "postedDate" : "2026-06-13T10:40:41.367", "createdAt" : "2026-06-13T10:40:41.367", "lastUpdated" : "2026-06-15T05:41:08.760", "ingestTimestamp" : "2026-06-13T10:40:41.367", "mongoId" : "6a2176ba74d8ee00a0c1ab39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439453/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cloud economics", "Business deals analysis", "Competitive situation analysis", "Commercial negotiation", "Contractual legal matters", "Negotiation", "Deal strategy", "Deal structuring", "Closure", "Deal negotiation", "Deal closure", "Financial modeling", "Risk assessment", "Performance metrics", "Sales methodology", "Deal cycle management", "Cloud adoption", "Pricing strategies", "Go To Market strategy", "Strategic collaborations", "GenAI" ], "skillCount" : 21, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69d5e4962beec4dd3d931927", "title" : "Strategic Customer Engagements, GTM Deal Lead, GDSP", "company" : "Amazon Web Services, Inc.", "industry" : "Business Merchant Development, Strategic Customer Engagements, Cloud Computing", "salary" : { "min" : 170000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:33:39.890", "fingerprint" : "34d925deb33712b180d4d137fc33d19c3013adaeaf993daa799117132c20d4e2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385285/apply", "externalId" : "3118c655-85ba-4793-8195-94c2d26d753f", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Cloud economics", "Strategic thinking", "Deal strategy", "Deal structuring", "Negotiations", "Financial modeling", "Risk assessment", "Sales methodology" ], "hardSkillsList" : [ "Analyze data", "Develop strategies", "Execute deal structures", "Customer negotiations", "Commercial aspects", "Business terms", "Pricing", "Contractual closure" ], "softSkillsList" : [ "Thought leader", "Trusted advisor", "Inspire", "Influence", "Facilitate alignment", "Resolve conflicts" ], "hardSkills" : [ { "name" : "Analyze data", "level" : "intermediate" }, { "name" : "Develop strategies", "level" : "intermediate" }, { "name" : "Execute deal structures", "level" : "intermediate" }, { "name" : "Customer negotiations", "level" : "intermediate" }, { "name" : "Commercial aspects", "level" : "intermediate" }, { "name" : "Business terms", "level" : "intermediate" }, { "name" : "Pricing", "level" : "intermediate" }, { "name" : "Contractual closure", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Thought leader" }, { "name" : "Trusted advisor" }, { "name" : "Inspire" }, { "name" : "Influence" }, { "name" : "Facilitate alignment" }, { "name" : "Resolve conflicts" } ], "majorSkills" : "Deal cycle leadership, GTM strategy, Customer engagement", "majorSkillsList" : [ "Deal cycle leadership", "GTM strategy", "Customer engagement" ], "coreResponsibilities" : "Act as trusted advisor, Lead sales and GTM deal cycle, Collaborate with finance and analytics teams, Produce financial models, Produce risk assessments, Produce performance metrics, Dive deep into customers’ business needs, Tailor deal structures, Inspire and influence internal stakeholders, Remove obstacles to drive deal momentum, Deliver seamless execution, Facilitate alignment within sales team, Facilitate effective AWS communication, Resolve conflicts, Encourage harmonious interaction, Monitor industry trends, Analyze competitive landscapes, Inform deal strategy, Identify high-potential opportunities, Ensure disciplined sales methodology application, Cultivate best practices, Analyze and report for improvement, Work with key internal stakeholders", "teamCollaboration" : "Partner and Account Team; Partner Network (APN) teams; Partner segment leaders; Sales leaders; Internal stakeholders; External key partners/customers; Finance teams; Analytics teams; Legal teams; AWS Partner Organization", "projectManagementSkills" : [ "Deal Cycle Management" ], "domainKnowledge" : "Cloud economics; Cloud adoption; Pricing strategies; GenAI", "domainList" : [ "cloud-economics", "cloud-adoption", "pricing-strategies", "genai" ], "domainSpecificKnowledge" : [ "Cloud economics", "Cloud adoption", "Pricing strategies", "GenAI" ], "communicationSkills" : "Executive alignment; Briefing senior management", "problemSolvingSkills" : "Analyze opportunities; Simplify complex scenarios; Distill business objectives", "outcomesObjectives" : "Maximize value for customers and AWS; Ensure data-driven decision-making; Ensure scalability; Drive deal momentum; Deliver seamless execution; Achieve consistent financial results; Accurately forecast financial results; Support continuous improvement; Increase AWS growth", "qualificationsBasic" : "Deal strategist background, Negotiator background, Experience in technology sales, Developing GTM strategic collaborations, Proven collaborator across multiple stakeholders, Engaging at partner/customer C-suite levels", "qualificationsPreferred" : "Experience with cloud economics, Experience with cutting-edge technologies, Experience with global clients", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with cutting-edge technologies and global clients. Do you have an aptitude for analyzing opportunities and creating high-impact, innovative business deals? Can you take complex scenarios and simplify them down to the essentials while building consensus across broad stakeholder groups? Strategic Customer Engagements (SCE) is seeking a senior Deal Lead to drive engagement and lead the various critical phases of the Deal Cycle (Strategy, Structuring, Negotiations, and Closure) for Strategic Collaborations. This role has Americas responsibility, is highly partner and customer facing, and will work closely with Amazon customers, partners, Partner Network (APN) programs teams, partner segment leaders, and sales leaders. The ideal candidate will possess a deal strategist and negotiator background, and experience in technology sales with customers and partners, and developing Go To Market (GTM) strategic collaborations, and be a proven collaborator across multiple stakeholders including engaging at partner/customer C-suite levels. Strategy: This individual will work with the Partner and Account Team to set objectives, analyze key data and ensure executive alignment and governance. The individual will be able to provide advice on the competitive situation, create an actionable strategy, and lead engagement with the customer. Structure: You will be able to distill business objectives in service of developing and executing deal structures that maximize the value of the opportunity for both customers and AWS. Negotiations: You will be experienced with high-stakes customer negotiations, including commercial aspects of the deal structure. The individual understands the impact of business terms and pricing and can provide alternative solutions to ensure alignment across internal and external stakeholders. Closure: Will be able to bring to closure, in partnership with the customer and partner/account team and legal teams, any contractual/legal matters for the deal, including briefing senior management. Key job responsibilities • Act as trusted advisor and thought leader in the development of the strategy and execution of the sales and GTM deal cycle (strategy, structuring, negotiation, and closure) for strategic, complex, or highly competitive partner and channel opportunities. • Collaborate with finance and analytics teams to produce financial models, risk assessments and performance metrics that will guide each deal, ensuring data-driven decision-making and scalability. • Dive Deep into customers’ business needs and obstacles, tailoring deal structures that are mutually beneficial to all parties. • Inspire and influence internal stakeholders, experts and other resources not under direct control, proactively removing obstacles to drive deal momentum and deliver seamless execution. • Facilitate alignment and effective AWS communication within sales team and internal/external key partners/customers and promptly resolve any conflicts to encourage harmonious and productive interaction. • Continuously monitor and analyze industry trends and competitive landscapes to inform deal strategy and identify high-potential opportunities. • Ensure disciplined sales methodology application across management groups, resulting in consistent and accurately forecasted financial results. • Cultivate best practices through analysis and reporting in support of continuous improvement. • Work with key internal stakeholders (e.g. AWS Partner Organization, finance, operations, legal, etc.) as needed. A day in the life SCE is a specialized global deal team that engages with commercial and public sector customers on deal strategy, structuring, and negotiations through contractual closure for transformational, strategic, large, complex, and/or highly competitive opportunities such as GenAI. This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS (Americas/EMEA/APJ), and to establish AWS as their key cloud technology provider. These opportunities range across industry verticals, such as Financial Services, Telecommunications, Media & Entertainment, Energy, Healthcare Life Sciences, Automotive and Manufacturing, and Public Sector, and customer size (from start-ups to enterprise customers). These engagements may also involve Pan-Amazon and AWS go-to-market opportunities involving close partnership between the SCE team and other Amazon and AWS stakeholders. 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: - Experience working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, legal and internal stakeholders for sizeable commercial/enterprise deals Preferred Qualifications: - Experience in sales 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, restricted stock units (RSUs), and sales incentives. 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 - 187,000.00 - 252,900.00 USD annually USA, GA, Atlanta - 170,000.00 - 230,000.00 USD annually USA, IL, Chicago - 170,000.00 - 230,000.00 USD annually USA, MN, Minneapolis - 170,000.00 - 230,000.00 USD annually USA, NY, New York - 187,000.00 - 252,900.00 USD annually USA, TX, Austin - 170,000.00 - 230,000.00 USD annually USA, TX, Dallas - 170,000.00 - 230,000.00 USD annually USA, VA, Arlington - 170,000.00 - 230,000.00 USD annually USA, VA, Herndon - 170,000.00 - 230,000.00 USD annually USA, WA, Seattle - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Strategic Customer Engagements, GTM Deal Lead, GDSP at Amazon Web Services, Inc.. Skills: Deal cycle leadership, GTM strategy, Customer engagement. Act as trusted advisor. Lead sales and GTM deal cycle", "postedDate" : "2026-06-13T06:00:16.892", "createdAt" : "2026-06-13T06:00:16.892", "lastUpdated" : "2026-06-15T02:33:39.890", "ingestTimestamp" : "2026-06-13T06:00:16.892", "mongoId" : "69d5e4962beec4dd3d931927", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385285/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Analyze data", "Develop strategies", "Execute deal structures", "Customer negotiations", "Commercial aspects", "Business terms", "Pricing", "Contractual closure", "Thought leader", "Trusted advisor", "Inspire", "Influence", "Facilitate alignment", "Resolve conflicts", "Deal cycle leadership", "GTM strategy", "Customer engagement", "Cloud economics", "Strategic thinking", "Deal strategy", "Deal structuring", "Negotiations", "Financial modeling", "Risk assessment", "Sales methodology", "Deal Cycle Management", "Cloud adoption", "Pricing strategies", "GenAI" ], "skillCount" : 29, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "693072a270f0b99d58ffb53f", "title" : "Strategic Customer Engagements, GCR", "company" : "Amazon Connect Technology Services (Beijing) Co., Ltd.", "industry" : "Sales, Advertising, Account Management, Strategic Customer Engagements, Cloud Computing", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Strategic Customer Engagements role in Beijing, China, adjusted for the technology industry." }, "location" : "Beijing, CHN", "locations" : [ "Beijing, CHN" ], "timestamp" : "2026-06-15T03:51:08.444", "fingerprint" : "51b5f1fbffeedf26639a52bec7795136f3e8c371d115758dd056ca748f2aaeda", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136521/apply", "externalId" : "367bce20-838f-49e9-b3b7-d100852acaea", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AWS", "professionalSkills" : [ "Deal structuring", "Deal negotiation", "Commercial strategy", "Business development" ], "hardSkillsList" : [ "Deal analysis", "Deal construction" ], "softSkillsList" : [ "Negotiation" ], "hardSkills" : [ { "name" : "Deal analysis", "level" : "intermediate" }, { "name" : "Deal construction", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" } ], "majorSkills" : "Deal structuring, Customer engagement, Commercial outcomes", "majorSkillsList" : [ "Deal structuring", "Customer engagement", "Commercial outcomes" ], "coreResponsibilities" : "Analyze opportunities, Create innovative business deals, Develop commercial outcomes, Build consensus across stakeholders, Engage with customers on deal strategy, Structure deals, Negotiate deals, Drive contractual closure, Increase growth of AWS, Establish AWS as key provider, Meet business outcomes, Increase adoption of AWS, Enable private pricing, Enable go-to-market strategies, Enable Pan-Amazon relationships, Enable strategic relationships, Partner with customers, Partner with AWS field sales, Empower customers to grow, Address customer challenges, Create innovative solutions, Develop commercial business models, Earn trust with customers, Create actionable strategy, Act as trusted advisor, Act as thought leader, Partner in deal sales cycle, Understand services and pricing, Create frameworks impacting outcomes, Inspire and influence stakeholders, Remove barriers, Achieve business outcomes, Advise commercial deal terms, Provide deal guidance, Facilitate alignment, Ensure effective AWS communication, Resolve conflict, Encourage productive interactions, Cultivate best practices, Support continuous improvements", "teamCollaboration" : "Partner with customers; Partner with AWS field sales; Work with AWS Service teams; Partner with SCE global deal team; Work with Amazon stakeholders; Work with AWS stakeholders; Inspire internal stakeholders; Influence internal stakeholders; Work with indirect resources; Facilitate AWS communication", "domainKnowledge" : "Cloud technology; Financial Services; Telecommunications; Media & Entertainment; Energy; Healthcare Life Sciences; Automotive; Manufacturing; Public Sector", "domainList" : [ "cloud-technology", "financial-services", "telecommunications", "media-entertainment", "energy", "healthcare-life-sciences", "automotive", "manufacturing", "public-sector" ], "domainSpecificKnowledge" : [ "Cloud technology", "Financial Services", "Telecommunications", "Media & Entertainment", "Energy", "Healthcare Life Sciences", "Automotive", "Manufacturing", "Public Sector" ], "communicationSkills" : "Present to executives; Negotiate with executives", "problemSolvingSkills" : "Analyze opportunities; Analyze competitive landscape", "outcomesObjectives" : "Increase growth of AWS; Increase adoption of AWS", "qualificationsBasic" : "Experience with substantial software/cloud deals, Speak, write, and read English fluently, Experience negotiating with C-level executives, Business level proficiency in Chinese language", "qualificationsPreferred" : "Experience with enterprise accounts, Experience with start-up accounts, Experience with SMB accounts, Knowledge of AWS services, Experience using English communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you have an aptitude for analyzing opportunities and creating innovative business deals? Do you enjoy working at the intersection of customers and product/service teams to develop commercial outcomes while building consensus across stakeholder groups? Amazon Web Services (AWS) is seeking Deal Structurer for the Strategic Customer Engagements (SCE) team. SCE is a specialized global deal team that engages with commercial and public sector customers on deal strategy, structuring, and negotiations through contractual closure for transformational, strategic, large, complex, and/or highly competitive opportunities. This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS (China, Hongkong and Taiwan), and to establish AWS as their key cloud technology provider. These opportunities range across industry verticals, such as Financial Services, Telecommunications, Media & Entertainment, Energy, Healthcare Life Sciences, Automotive and Manufacturing, and Public Sector, and customer size (from start-ups to enterprise customers). These engagements may also involve Pan-Amazon and AWS go-to-market opportunities involving close partnership between the SCE global deal team and other Amazon and AWS stakeholders. As a Deal Specialist, you will be involved in the critical phases of the Deal Cycle (Strategy, Structuring, Negotiations, and Closure) and work with C-level executives, IT, and various lines of business to meet their business outcomes, increase the adoption of AWS , and enable private pricing, go-to-market, pan-Amazon, and other strategic relationships. On a daily basis, you will partner with AWS customers, AWS field sales and other internal stakeholders to empower our customers to rapidly grow, address their challenges, and create innovative solutions. You will work with AWS Service teams on developing commercial business models that align with their goals. You will earn trust with customers by creating an actionable strategy and structure for the opportunity that meets the customer’s goals. Key job responsibilities - Act as trusted advisor and thought leader in the development of commercial strategy and deals: partner in the execution of the deal sales cycle for strategic commercial opportunities. - Partner closely with AWS Service teams to understand services and pricing: create frameworks that impact customer outcomes. - Inspire and influence key internal stakeholders, experts, and other indirect resources to remove barriers and achieve desired business outcomes - Advise and construct commercial deal terms: understand the competitive landscape and provide deal guidance - Facilitate alignment and effective AWS communication with internal and external stakeholders to resolve conflict and encourage develop productive interactions - Cultivate best practices through analysis and reporting in support of continuous improvements About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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. 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: - Experience working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals from opportunity through closure - Speak, write, and read fluently in English - Experience working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, legal and internal stakeholders for sizeable commercial/enterprise deals - Bachelor's degree or equivalent, or experience working with technology customers, such as software providers - Business level proficiency in Chinese language as the role involves engaging with local GCR customers Preferred Qualifications: - Experience working directly with enterprise, start-up, or SMB accounts - Knowledge of AWS services - Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels 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" : "Strategic Customer Engagements, GCR at Amazon Connect Technology Services (Beijing) Co., Ltd.. Skills: Deal structuring, Customer engagement, Commercial outcomes. Analyze opportunities. Create innovative business deals", "postedDate" : "2026-06-13T15:58:26.179", "createdAt" : "2026-06-13T15:58:26.179", "lastUpdated" : "2026-06-15T03:51:08.444", "ingestTimestamp" : "2026-06-13T15:58:26.179", "mongoId" : "693072a270f0b99d58ffb53f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136521/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Deal analysis", "Deal construction", "Negotiation", "Deal structuring", "Customer engagement", "Commercial outcomes", "Deal negotiation", "Commercial strategy", "Business development", "Cloud technology", "Financial Services", "Telecommunications", "Media & Entertainment", "Energy", "Healthcare Life Sciences", "Automotive", "Manufacturing", "Public Sector" ], "skillCount" : 18, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Technology" }, { "id" : "6a2a660474d8ee00a062b860", "title" : "SCE Deal Lead, Strategic Customer Engagements Public Sector", "company" : "Amazon Web Services, Inc.", "industry" : "Sales, Advertising, Account Management, Strategic Customer Engagements, Cloud Computing", "salary" : { "min" : 170000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:09:09.491", "fingerprint" : "8087078a922440039372b820e831fb34c394bacf3578e951dff1623c9bc8c7b3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443853/apply", "externalId" : "1614090e-1b5c-4b31-aac6-294bad0743d0", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AWS", "professionalSkills" : [ "Deal strategy", "Deal structuring", "Negotiations", "Commercial strategy", "Pricing strategy" ], "hardSkillsList" : [ "Deal closure", "Sales cycle execution" ], "softSkillsList" : [ "Leadership", "Negotiation" ], "hardSkills" : [ { "name" : "Deal closure", "level" : "intermediate" }, { "name" : "Sales cycle execution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" } ], "majorSkills" : "Deal management, Customer engagement, Revenue growth", "majorSkillsList" : [ "Deal management", "Customer engagement", "Revenue growth" ], "coreResponsibilities" : "Manage end to end Deal Cycle, Create actionable strategies, Develop shape opportunities, Lead deal engagements, Own engagement C-level executives, Achieve business outcomes, Increase adoption AWS services, Enable private pricing, Enable go-to-market, Enable pan-Amazon relationships, Enable strategic relationships, Drive revenue growth, Drive Cloud adoption, Develop AWS value proposition, Develop AWS solutions, Lead negotiations customer closure, Develop shape deal strategy, Develop shape deal structure, Meet customer business outcome, Meet customer goals, Develop strategies pricing, Communicate pricing strategies, Identify deal blockers", "teamCollaboration" : "Cross-functional deal teams; AWS field sales executives; Internal stakeholders; Service Teams; Finance; Legal", "domainKnowledge" : "Public Sector; GenAI; Financial Services; Telecommunications; Media Entertainment; Energy; Healthcare Life Sciences; Automotive Manufacturing; Cloud technology", "domainList" : [ "public-sector", "genai", "financial-services", "telecommunications", "media-entertainment", "energy", "healthcare-life-sciences", "automotive-manufacturing", "cloud-technology" ], "domainSpecificKnowledge" : [ "Public Sector", "GenAI", "Financial Services", "Telecommunications", "Media Entertainment", "Energy", "Healthcare Life Sciences", "Automotive Manufacturing", "Cloud technology" ], "communicationSkills" : "Executive presentations; Complex concepts articulation", "outcomesObjectives" : "Increase growth AWS; Establish AWS provider", "qualificationsBasic" : "10+ years deal teams experience, 12+ years complex deals experience, 12+ years C-level negotiation experience, Bachelor degree Business, Economics, Technology or Finance", "qualificationsPreferred" : "Advanced degree relevant experience, Direct field experience enterprise accounts, Knowledge AWS products services, Written verbal presentation skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SCE is a specialized global deal team that engages with commercial and public sector customers on deal strategy, structuring, and negotiations through contractual closure for transformational, strategic, large, complex, and/or highly competitive opportunities such as GenAI. This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS (Americas/EMEA/APJ), and to establish AWS as their key cloud technology provider. These opportunities range across industry verticals, such as Financial Services, Telecommunications, Media & Entertainment, Energy, Healthcare Life Sciences, Automotive and Manufacturing, and Public Sector, and customer size (from start-ups to enterprise customers). These engagements may also involve Pan-Amazon and AWS go-to-market opportunities involving close partnership between the SCE team and other Amazon and AWS stakeholders. As a SCE Deal Lead, you will be responsible for managing the end to end Deal Cycle for strategic, large, complex or highly competitive deals. You will focus on earning trust with customers by creating actionable strategies, developing and shaping opportunities, and leading deal engagements through negotiations and closure. This highly visible role will own engagement with customer C-level executives, IT teams, and multiple lines of business to achieve business outcomes, increase the adoption of AWS services, and to enable private pricing, go-to-market, pan-Amazon, and other strategic relationships. You will work collaboratively to drive results by partnering with AWS customers, AWS field sales executives, and other internal stakeholders to empower our customers to evolve, address challenges, and to create innovative solutions. Key job responsibilities - Lead negotiations and customer closure for strategic, large, complex or highly competitive deals - Develop and shape the overall deal strategy and structure to meet customer business outcome and goals - Contribute to developing AWS's value proposition and solutions - Drive revenue growth and Cloud adoption - Closely collaborate with key stakeholders across the organization for (Americas/EMEA/APJ) regional sales teams, and related regional and global stakeholders (Service Teams, Finance, Legal, etc.) - Act as a trusted advisor in the development of the commercial strategy of deals with AWS Field Sales Executives: partner in the execution of the sales cycle for strategic, complex, or highly competitive commercial opportunities - Inspire, influence, and facilitate alignment with internal stakeholders, experts, and other resources not under direct control, to remove obstacles and achieve desired business outcomes - Develop strategies for pricing and discounts; effectively communicate and identify deal blockers - Lead or support presentation of deal proposals to Customers Basic Qualifications: - 10+ years of supporting and leading cross-functional deal teams experience - 12+ years demonstrated success working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals (relative to industry and market size) from opportunity through closure - 12+ years of experience working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, and legal and internal stakeholders for sizeable commercial/enterprise deals - Bachelor degree in Business, Economics, Technology or Finance (or equivalent work experience) Preferred Qualifications: - Advanced degree or equivalent relevant experience - Direct field experience with enterprise accounts - Knowledge of AWS products and services - Strong written and verbal presentation skills with the ability to articulate complex concepts to cross functional audiences 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, restricted stock units (RSUs), and sales incentives. 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 - 187,000.00 - 252,900.00 USD annually USA, GA, Atlanta - 170,000.00 - 230,000.00 USD annually USA, IL, Chicago - 170,000.00 - 230,000.00 USD annually USA, MA, Boston - 170,000.00 - 230,000.00 USD annually USA, NY, New York - 187,000.00 - 252,900.00 USD annually USA, TX, Austin - 170,000.00 - 230,000.00 USD annually USA, TX, Dallas - 170,000.00 - 230,000.00 USD annually USA, VA, Arlington - 170,000.00 - 230,000.00 USD annually USA, VA, Herndon - 170,000.00 - 230,000.00 USD annually USA, WA, Seattle - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "SCE Deal Lead, Strategic Customer Engagements Public Sector at Amazon Web Services, Inc.. Skills: Deal management, Customer engagement, Revenue growth. Manage end to end Deal Cycle. Create actionable strategies", "postedDate" : "2026-06-13T06:24:46.454", "createdAt" : "2026-06-13T06:24:46.454", "lastUpdated" : "2026-06-15T03:09:09.491", "ingestTimestamp" : "2026-06-13T06:24:46.454", "mongoId" : "6a2a660474d8ee00a062b860", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443853/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Deal closure", "Sales cycle execution", "Leadership", "Negotiation", "Deal management", "Customer engagement", "Revenue growth", "Deal strategy", "Deal structuring", "Negotiations", "Commercial strategy", "Pricing strategy", "Public Sector", "GenAI", "Financial Services", "Telecommunications", "Media Entertainment", "Energy", "Healthcare Life Sciences", "Automotive Manufacturing", "Cloud technology" ], "skillCount" : 21, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Public Sector" }, { "id" : "6a3075c5f292fd229c013566", "title" : "Software Engineer, Customer Insights", "company" : "Pantheon Systems, Inc", "industry" : "SaaS", "salary" : { "min" : 116640.0, "max" : 145800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T13:27:53.744", "fingerprint" : "f4a8f719538a36fe57f0ba3367ed03ca78b403947c3149dae93677fb8e623bb4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://pantheon.io/about/careers/detail?gh_jid=8008383", "externalId" : "8008383", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, Go, JavaScript, React, Node.js, SQL, NoSQL, AWS, GCP, Azure, Kubernetes, Docker, Terraform, CI/CD, REST, GraphQL", "professionalSkills" : [ "System design", "API design", "Data modeling" ], "hardSkillsList" : [ "Software development", "Cloud computing", "DevOps practices", "Data structures", "Algorithms" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" } ], "majorSkills" : "Backend development, Cloud infrastructure, DevOps", "majorSkillsList" : [ "Backend development", "Cloud infrastructure", "DevOps" ], "coreResponsibilities" : "Design scalable backend services, Develop and maintain cloud infrastructure, Implement CI/CD pipelines, Write clean, maintainable code, Collaborate with cross-functional teams, Troubleshoot and resolve production issues, Participate in code reviews, Contribute to system architecture discussions", "teamCollaboration" : "Cross-functional teams; Agile methodologies; Code reviews", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "SaaS architecture; Customer insights; Data pipelines", "domainList" : [ "saas-architecture", "customer-insights", "data-pipelines" ], "domainSpecificKnowledge" : [ "SaaS architecture", "Customer insights", "Data pipelines" ], "toolProficiency" : [ "Git", "JIRA", "Datadog", "Prometheus", "Grafana" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "3+ years experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Pantheon Pantheon brings together exceptional builders who take ownership, drive meaningful impact, and shape what's next for the web. We power more than 300,000 websites globally for organizations including Google, Princeton, Salesloft, Clorox, and the United Nations. Every day, thousands of developers and marketers use our WebOps platform to build, iterate, and scale WordPress, Drupal, and Next.js sites that reach billions of people worldwide. As an employer, we operate with the same philosophy that drives our product: foundation and freedom. Pantheon is a vibrant, remote-forward team of experts who care deeply about their craft and results. Here, you take ownership of work that matters, contribute alongside exceptional people, and see the impact you create. The Role The Pantheon Customer Insights Team is looking for a Software Engineer to build the next generation of customer-facing observability features. In this role, you will create backend systems that transform raw observability data from platforms like New Relic, Grafana, and Cloudflare into clear, actionable insights surfaced directly in our product. You'll work on Portfolio Insights, OpenTelemetry exploration, and product analytics capabilities. This is product engineering work; you're building features customers interact with daily, not internal tooling. You will work primarily in Go, with Python and SQL for data work. What you Need to Succeed Comfort with ambiguity; you'll be defining what \"meaningful insights\" means to customers. Pragmatic approach to balancing performance, cost, and delivery speed. Care about what users see, not just APIs. Good collaboration skills to work with product, design, and cross-functional teams. Desire to learn observability concepts on the job (we have domain experts on the team to teach you). What you Bring to the Table 3+ years of experience building production services and features. Go experience is a plus (or similar systems language). Comfortable working in React and TypeScript and GraphQL. Comfort with BigQuery/SQL and with Python for data work. Experience with observability platforms (New Relic, Grafana, Datadog) Experience with RESTful APIs and distributed systems. What We Offer We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team. Industry competitive compensation and equity plan Flexible time off, sick days, and 13 paid holidays Comprehensive medical insurance including Health, Dental and Vision Paid parental leave (plus fertility, adoption and other family planning benefits) In-office workspace (San Francisco & Chicago) Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development Events and activities both team-based and company wide that inspire, educate and cultivate Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment. After an offer is made and accepted, E-verify will be utilized to establish your identity and employment eligibility as required by the U. S. Department of Homeland Security. To review the Employee and Applicant's Privacy Policy, click here. The US base salary range for this position in the United States is $116,640 - $145,800 USD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Visa Sponsorship is not available at this time. #LI-KM1 #LI-remote", "summaryDescription" : "Software Engineer, Customer Insights at Pantheon Systems, Inc. Skills: Backend development, Cloud infrastructure, DevOps. Design scalable backend services. Develop and maintain cloud infrastructure", "postedDate" : "2026-06-16T01:16:53.432", "createdAt" : "2026-06-16T01:16:53.432", "lastUpdated" : "2026-06-16T13:27:53.744", "ingestTimestamp" : "2026-06-16T01:16:53.432", "mongoId" : "6a3075c5f292fd229c013566", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 116640, "salaryAnnualMax" : 145800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "Cloud computing", "DevOps practices", "Data structures", "Algorithms", "Backend development", "Cloud infrastructure", "DevOps", "System design", "API design", "Data modeling", "Agile", "Scrum", "SaaS architecture", "Customer insights", "Data pipelines", "Git", "JIRA", "Datadog", "Prometheus", "Grafana" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3075c5f292fd229c013564", "title" : "Software Engineer - Customer Insights", "company" : "Pantheon Systems, Inc", "industry" : "Technology", "salary" : { "min" : 103000.0, "max" : 129000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T11:26:50.191", "fingerprint" : "19157624d10a98ed4b1b9b172e121868012fcbe4130660a9f3eb0319a8a2a186", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://pantheon.io/about/careers/detail?gh_jid=8008258", "externalId" : "8008258", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Pantheon Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon’s multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard. Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon’s collaborative workflows. The Role The Pantheon Customer Insights Team is looking for a Software Engineer to build the next generation of customer-facing observability features. In this role, you will create backend systems that transform raw observability data from platforms like New Relic, Grafana, and Cloudflare into clear, actionable insights surfaced directly in our product. You'll work on Portfolio Insights, OpenTelemetry exploration, and product analytics capabilities. This is product engineering work; you're building features customers interact with daily, not internal tooling. You will work primarily in Go, with Python and SQL for data work. What you Need to Succeed Comfort with ambiguity; you'll be defining what \"meaningful insights\" means to customers. Pragmatic approach to balancing performance, cost, and delivery speed. Care about what users see, not just APIs. Good collaboration skills to work with product, design, and cross-functional teams. Desire to learn observability concepts on the job (we have domain experts on the team to teach you). What you Bring to the Table 3+ years of experience building production services and features. Go experience is a plus (or similar systems language). Comfortable working in React and TypeScript and GraphQL. Comfort with BigQuery/SQL and with Python for data work. Experience with observability platforms (New Relic, Grafana, Datadog) Experience with RESTful APIs and distributed systems. Familiarity with GCP infrastructure primitives, terraform, and container management solutions like kubernetes What We Offer We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team. Industry competitive compensation and equity plan Paid Time Off (PTO), Paid Sick Leave (PSL) and 12 Paid Company Holidays Full medical coverage (Extended health care, dental, vision) Top-of-line equipment In-office workspace (Vancouver, BC Canada) Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development Events and activities both team-based and company wide that inspire, educate and cultivate Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment. To review the Employee and Applicant's Privacy Policy, click here. Visa Sponsorship is not available at this time. The Canadian base salary range for this position is 103,000- 129,000 CAD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. #LI-KM1 #LI-remote", "summaryDescription" : "Software Engineer - Customer Insights at Pantheon Systems, Inc", "postedDate" : "2026-06-16T01:19:19.388", "createdAt" : "2026-06-16T01:19:19.388", "lastUpdated" : "2026-06-16T11:26:50.191", "ingestTimestamp" : "2026-06-16T01:19:19.388", "mongoId" : "6a3075c5f292fd229c013564", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305118f292fd229cef9936", "title" : "Director, Strategic Deal Finance", "industry" : "Finance", "salary" : { "min" : 185000.0, "max" : 230000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T12:24:45.718", "fingerprint" : "218cb0d2b57f070412526122007f829e8186a1483648762456701ca456e15286", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/c1e7072d-6dea-40c7-9acb-8e454b8090a1/apply", "externalId" : "c1e7072d-6dea-40c7-9acb-8e454b8090a1", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Financial modeling", "Revenue forecasting", "Deal structuring", "Commercial agreements", "Financial controls", "Deal economics", "Analytical judgment" ], "hardSkillsList" : [ "Financial modeling", "Revenue forecasting", "Deal structuring", "Commercial agreements", "Revenue recognition", "Accrual accounting", "Financial controls", "Deal economics", "Scenario analysis", "Risk assessment" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Revenue forecasting", "level" : "intermediate" }, { "name" : "Deal structuring", "level" : "intermediate" }, { "name" : "Commercial agreements", "level" : "intermediate" }, { "name" : "Revenue recognition", "level" : "intermediate" }, { "name" : "Accrual accounting", "level" : "intermediate" }, { "name" : "Financial controls", "level" : "intermediate" }, { "name" : "Deal economics", "level" : "intermediate" }, { "name" : "Scenario analysis", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Financial modeling, Deal structuring, Revenue recognition, Financial governance", "majorSkillsList" : [ "Financial modeling", "Deal structuring", "Revenue recognition", "Financial governance" ], "coreResponsibilities" : "Own financial governance of commercial deals, Structure commercial deals, Oversee deal approval frameworks, Monitor deal performance, Serve as DRI for revenue adjustments, Ensure accuracy of revenue adjustments, Ensure logic integrity of revenue adjustments, Ensure full reconciliation of weekly reporting outputs, Ensure full reconciliation of financial datasets, Lead financial modeling for complex deals, Lead scenario analysis for complex deals, Lead risk assessment for complex deals, Recommend optimal commercial structures, Partner with FP&A, Partner with GTM teams, Lead weekly performance reviews, Explain variances, Ensure alignment on revenue expectations, Ensure alignment on reporting outcomes, Maintain Deal Desk policies, Enforce Deal Desk policies, Maintain approval matrices, Enforce approval matrices, Maintain eligibility thresholds, Enforce eligibility thresholds, Contribute to strategic reviews, Oversee accruals for deal structures, Oversee revenue recognition for deal structures, Ensure defensible accounting logic, Ensure readiness for executive review, Monitor deal performance against assumptions, Monitor cash flow against assumptions, Identify deviations proactively, Recommend corrective financial actions, Lead cross-functional alignment on pipeline management, Ensure timely incorporation of business updates into financial, Ensure timely incorporation of business updates into forecasts, Manage Senior Analyst, Mentor Senior Analyst, Provide guidance on prioritization, Provide guidance on modeling quality, Provide guidance on analytical rigor", "teamCollaboration" : "Cross-functional alignment; Partner with FP&A; Partner with GTM teams; Work with senior leadership", "domainKnowledge" : "Revenue recognition principles; Accrual accounting; Financial controls; Commercial operations; Deal structuring; Financial modeling; Revenue forecasting; Scenario analysis; Risk assessment", "domainList" : [ "revenue-recognition-principles", "accrual-accounting", "financial-controls", "commercial-operations", "deal-structuring", "financial-modeling", "revenue-forecasting", "scenario-analysis", "risk-assessment" ], "domainSpecificKnowledge" : [ "Revenue recognition principles", "Accrual accounting", "Financial controls", "Commercial operations", "Deal structuring", "Financial modeling", "Revenue forecasting", "Scenario analysis", "Risk assessment" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Executive presence; Presenting insights; Presenting recommendations", "continuousLearning" : "Learning and development support; Professional growth opportunities", "problemSolvingSkills" : "Analytical judgment; Evaluate complex deal economics; Identify deviations; Recommend corrective actions", "qualificationsBasic" : "Bachelor’s degree in Finance, Accounting, Economics, or related quantitative discipline, 10+ years of experience in strategic finance, commercial finance, deal desk, revenue operations, or related roles, 5 years owning complex deal structuring or commercial agreements, Expertise in financial modeling, Expertise in revenue forecasting, Expertise in commercial deal evaluation, Solid understanding of revenue recognition principles, Solid understanding of accrual accounting, Solid understanding of financial controls in commercial operations, Proven ability to independently evaluate complex deal economics, Proven ability to present clear, defensible recommendations to executive stakeholders, Exceptional analytical judgment, Demonstrated experience acting as a decision owner (DRI), Communication and executive presence, Experience presenting insights and recommendations to senior leadership", "qualificationsPreferred" : "Experience in digital advertising, Experience in programmatic media, Experience in ad tech", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the end-to-end financial governance of commercial deals, including structuring, approval frameworks, and ongoing performance monitoring across standard and non-standard agreements. Serve as the DRI for revenue adjustments, ensuring accuracy, logic integrity, and full reconciliation of weekly reporting outputs and financial datasets. Lead financial modeling for complex, non-standard deals, including scenario analysis, risk assessment, and recommendation of optimal commercial structures. Partner with FP&A and GTM teams to lead weekly performance reviews, explain variances, and ensure alignment on revenue expectations and reporting outcomes. Maintain and enforce Deal Desk policies, approval matrices, and eligibility thresholds, while contributing to periodic strategic reviews with senior leadership. Oversee accruals and revenue recognition support for all key deal structures, ensuring defensible accounting logic and readiness for executive-level review. Monitor deal performance and cash flow against assumptions, proactively identifying deviations and recommending corrective financial actions. Lead cross-functional alignment on active deal pipeline management, ensuring timely incorporation of business updates into financial models and forecasts. Manage and mentor a Senior Analyst, providing guidance on prioritization, modeling quality, and analytical rigor within the Deal Desk function. Requirements: Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative discipline. 10+ years of experience in strategic finance, commercial finance, deal desk, revenue operations, or related roles, with at least 5 years owning complex deal structuring or commercial agreements. Strong expertise in financial modeling, revenue forecasting, and commercial deal evaluation in high-volume or high-growth environments. Solid understanding of revenue recognition principles, accrual accounting, and financial controls in commercial operations. Proven ability to independently evaluate complex deal economics and present clear, defensible recommendations to executive stakeholders. Exceptional analytical judgment with the ability to balance commercial pressure and financial discipline while maintaining credibility and alignment. Demonstrated experience acting as a decision owner (DRI) in cross-functional environments with high accountability and ambiguity. Strong communication and executive presence, with experience presenting insights and recommendations to senior leadership (including CXO level). Experience in digital advertising, programmatic media, or ad tech is a strong asset. Benefits: Competitive base salary with performance-based bonus and equity components Comprehensive health, dental, and vision coverage (country-dependent) Retirement savings plan and employer contribution options Flexible remote-first work environment with global collaboration Paid time off, holidays, parental leave, and wellness-focused benefits Learning and development support, including professional growth opportunities Exposure to high-impact strategic deals within a fast-scaling global organization Inclusive and collaborative culture focused on innovation and accountability Base compensation range (Canada OTE): CAD 185,000 – 230,000, plus variable compensation and equity eligibility. ## 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" : "Director, Strategic Deal Finance. Skills: Financial modeling, Deal structuring, Revenue recognition, Financial governance. Own financial governance of commercial deals. Structure commercial deals", "postedDate" : "2026-06-15T13:23:49.810", "createdAt" : "2026-06-15T13:23:49.810", "lastUpdated" : "2026-06-16T12:24:45.718", "ingestTimestamp" : "2026-06-16T03:21:18.687", "mongoId" : "6a305118f292fd229cef9936", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Financial modeling", "Revenue forecasting", "Deal structuring", "Commercial agreements", "Revenue recognition", "Accrual accounting", "Financial controls", "Deal economics", "Scenario analysis", "Risk assessment", "Leadership", "Mentoring", "Financial governance", "Analytical judgment", "Revenue recognition principles", "Commercial operations", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a308827f292fd229c08fd4d", "title" : "Product & Strategic Insights Lead", "company" : "The Nielsen Company", "industry" : "Broadcast Media", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Product & Strategic Insights position in Bulgaria, adjusted for the media industry and full-time employment." }, "location" : "Remote, Remote, United States", "locations" : [ "Remote", "Remote", "United States" ], "timestamp" : "2026-06-16T10:12:06.767", "fingerprint" : "7ca436afdbe5706b1ec2c6e5366f205f46f8d2c815eca29514db974070f13ae9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TheNielsenCompany/3743990013631657-product-strategic-insights-lead", "externalId" : "3743990013631657", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Create user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it's consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. The Nielsen Content & Strategic Insights team is seeking a Product & Strategic Insights lead. This role will be the primary subject matter expert on advertising metrics within the team, tasked with translating complex product data—specifically Nielsen One (N1) Ads & Outcomes and Ad Intel —into actionable narratives that empower our sales teams, marketing goals and client needs. This role also serves as the central insights hub for Nielsen’s top-tier strategic accounts. You will act as the bridge between our complex product capabilities and our clients' specific business objectives, providing dedicated, high-touch support that drives product adoption and incremental revenue. Key Responsibilities * Product Expertise: Serve as the team’s go-to expert on advertising metrics and effectiveness. You will leverage deep knowledge of Nielsen One (N1) Ads & Outcomes and Ad Intel to provide customized product expertise, proof-points and case studies. * Custom Content Creation : Develop high-impact, personalized materials for growth target account meetings, including bespoke pitch decks, quick-hit insights, and deep-dive analyses tailored to unique client business objectives. * Intake & Prioritization Management: Oversee the request intake process for strategic accounts. You will prioritize incoming projects based on revenue impact and capacity, ensuring the Insights Lab remains agile and effective. * Outcome-Led Storytelling: Partner with Product Marketing and sales teams to translate complex data into simple, differentiated narratives. Your goal is to move beyond feature-led storytelling to clearly articulate the business impact of Nielsen solutions. ## Qualifications * Subject Matter Expertise: Proven expertise in advertising metrics and measurement, with fluency in Nielsen One (N1) Ads & Outcomes and Ad Intel, as well as NPower. * Strategic Client Support: Experience in a client-facing or sales-support role. You understand the nuances of high-touch service and how to support strategic accounts effectively. * Analytical Rigor: Ability to synthesize complex quantitative data into clear, compelling stories. You are comfortable producing both quick-turnaround data points and comprehensive deep-dive analyses. * Operational Excellence: Strong organizational skills with the ability to manage competing priorities. You are comfortable with an intake-heavy, fast-paced environment and can build systems to manage capacity. * Collaboration: A natural relationship builder who can work seamlessly across cross-functional teams (Sales, Product, Marketing) to ensure alignment and consistent, high-quality output. #LI-AW1 ## Additional Information Enabling your best to power a better media future. Holistic Rewards: We are committed to an inclusive benefits package that supports our employees and their families. This includes comprehensive health and wellness plans, a 401(k) with a Nielsen company match, and a generous paid time off policy. Depending on the role, additional benefits may include a company-provided vehicle and/or discretionary incentive/bonus eligibility. Compensation Transparency: The posted base salary range is a reasonable estimate that may be adjusted based on the final work location of the selected employee. Individual pay within the range is determined by factors such as experience, training, geography, certifications, and business needs. Beyond base salary, this role may be eligible for bonuses, equity, or other incentives. Nielsen makes hiring decisions without regard to disability status, protected veteran status, or membership in any other protected class. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a [nielsen.com](http://nielsen.com/) domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @[nielsen.com](http://nielsen.com/) address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.", "summaryDescription" : "Product & Strategic Insights Lead at The Nielsen Company. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T21:36:26.000", "createdAt" : "2026-06-16T01:44:28.356", "lastUpdated" : "2026-06-16T10:12:06.767", "ingestTimestamp" : "2026-06-16T01:44:28.356", "mongoId" : "6a308827f292fd229c08fd4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Roadmap planning" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306afff292fd229cfceb63", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:18:42.965", "fingerprint" : "afaa085e21ddbf0c4130a3767da4a46bd58a9db2da6ebd7e96afc025017dff0f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform statistical analysis, Develop and deploy machine learning models, Collaborate with stakeholders to understand data needs, Communicate insights and recommendations, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Communicate insights; Communicate recommendations", "problemSolvingSkills" : "Data analysis; Statistical analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Develop and maintain data pipelines. 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Stakeholders", "domainKnowledge" : "Data warehousing; Cloud data stacks; ML frameworks; BI platforms; Statistical modelling", "domainList" : [ "data-warehousing", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-modelling" ], "domainSpecificKnowledge" : [ "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in analytics or data science, Proficiency in SQL, Experience with Python or R, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI platforms (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and deploy machine learning models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-15T21:41:18.491", "lastUpdated" : "2026-06-16T08:45:12.856", "ingestTimestamp" : "2026-06-15T21:41:18.491", "mongoId" : "6a304ff3f292fd229ceeb334", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Statistical analysis", "Quantitative analysis", "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30571bf292fd229cf34122", "title" : "Sr. Deal Desk Analyst", "company" : "LogicMonitor", "industry" : "Technology", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for Seniority and SaaS industry." }, "location" : "Pune, Maharashtra, India", "locations" : [ "Pune", "Maharashtra", "India" ], "timestamp" : "2026-06-16T07:17:16.450", "fingerprint" : "dac1130218bd0256896ee7a0773fac7bf80bccab8e7d15b2ab37ca77ddd7be32", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.logicmonitor.com/career/?gh_jid=8000083", "externalId" : "8000083", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us: We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This position is located in Pune. You'll be working in a major tech center of Pune, India. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best. To learn more about life at LogicMonitor, check out our Careers Page. What You'll Do: LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! The Deal Desk Analyst is responsible for providing support to the Sales organization on all renewal and new business deal related matters. The Analyst will work with various business stakeholders across Sales, Legal, Finance, and Product to provide critical insight into Catchpoint’s customer base while supporting day-to-day operations. The Analyst will be heavily involved in scaling the business, while managing activities that support customer growth and retention. This position reports to the Deal Desk Manager, and is a fully remote position. Here's a closer look at this key role: Identify process and system improvements in the quote-to-cash process, turn those recommendations into functional requirements, and work cross functionally to get the projects built, tested, and released. Serve as the trusted adviser to the Sales teams on all renewal and new business-related matters. Execute our contract renewal strategy to drive price increases and multi-year contract commitments within our existing customer base. Manage a pipeline of renewal opportunities and provide business, product knowledge, and analytical support. Proactively work with the Sales teams to prepare contracts in advance to ensure early renewals. Helps Sales reps navigate Salesforce CPQ to produce accurate quotes and contracts that lead to successful wins. Facilitate discount approvals from Finance on deal structure. Create customer contracts to ensure they follow company rules and policy guidelines. Send contracts to customers via Docusign for electronic signature. Provision Catchpoint customer portal for new and renewing customers, and respond to sales provision requests as needed. Complete ad-hoc business operations projects as required. What You'll Need: Experience working with sales teams in a deal desk, sales operations, provisioning or commercial sales support function Strong communication (verbal and written) and interpersonal skills; must be able to foster we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Notice Regarding Use of AI in Hiring We use artificial intelligence tools to assist with reviewing job applications, such as matching skills and experience to job requirements. These tools support, but do not replace, human review. All hiring decisions are made by our recruiting and hiring teams. You may opt out of AI processing at any time, and your application will still be reviewed. To opt out, please contact us at opt.out@logicmonitor.com. By submitting your application, you acknowledge this notice. Our goal is to ensure an accessible and inclusive experience for every candidate. If you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form. Know your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U. S. Pay Transparency Nondiscrimination Provision.", "summaryDescription" : "Sr. Deal Desk Analyst at LogicMonitor", "postedDate" : "2026-06-15T23:22:39.811", "createdAt" : "2026-06-15T23:22:39.811", "lastUpdated" : "2026-06-16T07:17:16.450", "ingestTimestamp" : "2026-06-15T23:22:39.811", "mongoId" : "6a30571bf292fd229cf34122", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0f529b58b93c861e052fca", "title" : "Sr. Manager, Customer Performance & Insights", "company" : "Hyundai Capital America", "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T13:57:07.233", "fingerprint" : "71c876584c8bc802443fa6a9717e593495b85bf227c1884721d5d702f910419a", "source" : "taleo", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=116564", "externalId" : "116564", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Customer experience, financing, leasing, insurance solutions." ], "hardSkillsList" : [ "SQL", "Python" ], "softSkillsList" : [ "leadership" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" } ], "softSkills" : [ { "name" : "leadership" } ], "majorSkills" : "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "majorSkillsList" : [ "customer insights, CX analytics, predictive analytics, stakeholder management, leadership" ], "coreResponsibilities" : "Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "teamCollaboration" : "Facilitate cross-functional alignment and embed customer-driven decision-making.", "toolProficiency" : [ "Glassbox, Microsoft Office" ], "communicationSkills" : "executive-level communication; storytelling; executive presentation", "problemSolvingSkills" : "analytical; problem-solving", "specialRequirements" : "Work model is onsite 4 days a week. Compliance with all applicable federal, state, and local equal employment opportunity laws. California Privacy Notice provided.", "outcomesObjectives" : "Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals. Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management. Establish proactive monitoring and predictive analytics to detect emerging CX risks. Design and manage closed-loop feedback systems to ensure resolution and measurable improvements.", "qualificationsBasic" : "8+ years in customer insights, CX analytics, research, VoC, or CX strategy. 3+ years of leadership experience. Predictive analytics experience related to customer behavior or journey risk. Experience managing qualitative, quantitative, and behavioral research programs. Proven ability to influence senior stakeholders and lead cross-functional initiatives. Executive-level communication experience. Bachelor’s degree in relevant field required.", "qualificationsPreferred" : "Advanced degree preferred. Familiarity with CX tools (e.g., Glassbox).", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Sr. Manager, Customer Performance & Insights Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance, Genesis Finance, and Kia Finance, we deliver innovative financing, leasing, and insurance solutions to more than 3 million customers and businesses nationwide. We’re a company driven by growth, innovation, and people. At HCA, you’ll find opportunities to build new skills, expand your career, and make a real impact—while working in a diverse, inclusive, and values driven environment. We’re proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups. If you’re looking for a fast paced, collaborative workplace where your ideas matter, join us as we lead the future of financing freedom of movement. Apply today. WORK MODEL #LI-OnSite (4 days a week) WHAT YOU WILL DO The Sr. Manager, Customer Performance & Insights is a strategic analytics leader responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. This role builds and oversees the full ecosystem of customer feedback—both stated and unstated—to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements. HOW YOU WILL MAKE AN IMPACT Own and evolve the enterprise CX Health measurement framework, integrating feedback across channels to deliver a holistic view of customer experience Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management Lead customer research and analytics programs, translating findings into actionable, prioritized recommendations Integrate insights from social media, call centers, complaints, operational data, and tools like Glassbox Establish proactive monitoring and predictive analytics to detect emerging CX risks Facilitate cross-functional alignment and embed customer-driven decision-making Design and manage closed-loop feedback systems to ensure resolution and measurable improvements Influence senior stakeholders through storytelling and data-backed recommendations Lead, mentor, and develop a high-performing team WHAT YOU WILL BRING TO THE ROLE Experience: 8+ years in customer insights, CX analytics, research, VoC, or CX strategy 3+ years of leadership experience Predictive analytics experience related to customer behavior or journey risk Experience managing qualitative, quantitative, and behavioral research programs Proven ability to influence senior stakeholders and lead cross-functional initiatives Executive-level communication experience Education: Bachelor’s degree in relevant field required Advanced degree preferred Skills & Knowledge: Expertise in customer insights, VoC, and CX measurement Strong analytical and problem-solving skills Experience with SQL, Python, or predictive modeling tools Ability to translate data into actionable strategies Familiarity with CX tools (e.g., Glassbox) Strong storytelling and executive presentation skills Stakeholder management in matrixed environments Advanced Excel and Microsoft Office skills Strong communication and leadership abilities WE TAKE CARE OF OUR PEOPLE Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice WHAT HAPPENS NEXT Express your interest by submitting an application. Our recruiting team will review your application to assess alignment with the role. Visit our careers page to learn more about our culture. OTHER DETAILS Work Environment & Physical Requirements: Extended sitting, standing, and screen time in a hybrid work environment (office and remote). Our Company is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace—because we believe diversity builds stronger teams. We comply with all applicable federal, state, and local equal employment opportunity laws and do not discriminate on the basis of race, religion or creed, color, national origin, ancestry, caste, citizenship, sex or gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, medical condition, genetic information, marital status, family care or medical leave status, military or veteran status, political affiliation, or any other characteristic protected by law. Information provided during the application process is requested in good faith and will be used solely in accordance with applicable employment laws. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Sr. Manager, Customer Performance & Insights at Hyundai Capital America. Skills: customer insights, CX analytics, predictive analytics, stakeholder management, leadership. Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "createdAt" : "2026-06-14T20:47:45.690", "lastUpdated" : "2026-06-15T13:57:07.233", "ingestTimestamp" : "2026-06-14T20:47:45.690", "mongoId" : "6a0f529b58b93c861e052fca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "SQL", "Python", "leadership", "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "Customer experience, financing, leasing, insurance solutions.", "Glassbox, Microsoft Office" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f4074d8ee00a08ea5b3", "title" : "Solution Architect – Customer Engagements (Strategic Accounts)", "company" : "Nscale", "salary" : { "min" : 200000.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-15T00:37:44.740", "fingerprint" : "bd93a87f016a83ffdc1e4da54e989eff78f1162a985b633bf53742269cc45619", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4854916101", "externalId" : "4854916101", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/HPC workloads, Cloud, Networking, Infrastructure", "professionalSkills" : [ "Solution design", "Technical advising", "Customer engagements", "Architecture reviews", "Technical plans" ], "hardSkillsList" : [ "Customer architectures", "Software stacks", "AI/HPC workloads" ], "softSkillsList" : [ "Credibility" ], "hardSkills" : [ { "name" : "Customer architectures", "level" : "intermediate" }, { "name" : "Software stacks", "level" : "intermediate" }, { "name" : "AI/HPC workloads", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Credibility" } ], "majorSkills" : "Solution Architecture, Customer Engagements, Technical Advising", "majorSkillsList" : [ "Solution Architecture", "Customer Engagements", "Technical Advising" ], "coreResponsibilities" : "Act as primary technical point of contact, Develop deep understanding of customer architectures, Partner to design and optimize solutions, Lead technical discussions, Lead workshops, Lead architecture reviews, Translate customer requirements, Influence internal roadmaps, Own end-to-end success of engagements, Ensure delivery against commitments, Ensure delivery against timelines, Drive structured communication, Drive alignment between customers and internal teams, Identify risks, Identify performance issues, Identify gaps in customer environments, Drive resolution, Support pre-sales opportunities, Support expansion opportunities, Articulate technical value, Guide solution design, Act as calm presence during incidents, Help troubleshoot issues, Maintain customer confidence, Bring structure to engagements, Bring follow-through to engagements, Ensure accountability across stakeholders", "teamCollaboration" : "Customer teams; Internal engineering teams; Internal product teams; Internal operations teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Customer workloads; Customer architectures; Business objectives; AI/HPC workloads", "domainList" : [ "customer-workloads", "customer-architectures", "business-objectives", "ai-hpc-workloads" ], "domainSpecificKnowledge" : [ "Customer workloads", "Customer architectures", "Business objectives", "AI/HPC workloads" ], "communicationSkills" : "Translate between technical and business contexts", "problemSolvingSkills" : "Performance issues; Gaps in customer environments", "outcomesObjectives" : "Ensure successful delivery; Ensure long-term partnership growth; Ensure customers realize maximum value", "qualificationsBasic" : "5-10+ years customer-facing technical role, Ability to go deep technically, Experience working with large enterprise customers, Proven ability to understand complex customer environments, Demonstrated ownership and follow-through, Experience supporting pre-sales, Ability to navigate ambiguity", "qualificationsPreferred" : "Experience with SLAs, Experience with delivery commitments, Experience with customer accountability", "remoteFriendly" : false, "rawDescription" : "Role Overview We are seeking a customer-facing Solution Architect to lead and deepen our engagements with Nscale’s most strategic customers. This role sits at the intersection of engineering, product, and commercial teams—acting as a trusted technical advisor to customers while ensuring successful delivery and long-term partnership growth. You will go beyond coordination and program management, developing a deep understanding of customer workloads, architectures, and business objectives. You’ll play a critical role in shaping solutions, guiding customers through technical challenges, and ensuring they realize maximum value from Nscale’s platform. What You’ll Do Act as the primary technical point of contact for strategic customers, building trusted, long-term relationships Develop a deep understanding of customer architectures, software stacks, and AI/HPC workloads Partner with customers to design and optimize solutions on Nscale’s infrastructure Lead technical discussions, workshops, and architecture reviews with customer teams Translate customer requirements into clear technical plans and influence internal roadmaps where needed Own the end-to-end success of customer engagements, ensuring delivery against commitments and timelines Drive structured communication and alignment between customers and internal engineering, product, and operations teams Proactively identify risks, performance issues, or gaps in customer environments and drive resolution Support pre-sales and expansion opportunities by articulating technical value and guiding solution design Act as a calm, credible presence during incidents—helping troubleshoot issues and maintain customer confidence Bring structure and follow-through to engagements, ensuring accountability across all stakeholders What We’re Looking For 5–10+ years in a customer-facing technical role such as Solution Architect, Sales Engineer, or Technical Program Manager Strong ability to go deep technically (infrastructure, cloud, networking, or AI/HPC workloads) while also operating at a strategic/customer level Experience working directly with large enterprise, hyperscale, or high-growth technology customers Proven ability to understand and map complex customer environments (compute, networking, storage, software stacks) Strong communication skills with the ability to translate between technical and business contexts Demonstrated ownership and follow-through in driving complex, multi-team deliverables Experience supporting pre-sales, solution design, or customer expansion efforts Ability to navigate ambiguity and operate effectively in fast-paced, high-growth environments Experience with SLAs, delivery commitments, and customer accountability is a strong plus The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $200,000—$260,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Solution Architect – Customer Engagements (Strategic Accounts) at Nscale. Skills: Solution Architecture, Customer Engagements, Technical Advising. Act as primary technical point of contact. Develop deep understanding of customer architectures", "postedDate" : "2026-06-12T22:09:05.476", "createdAt" : "2026-06-12T22:09:05.476", "lastUpdated" : "2026-06-15T00:37:44.740", "ingestTimestamp" : "2026-06-12T22:09:05.476", "mongoId" : "6a2c5f4074d8ee00a08ea5b3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 260000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Customer architectures", "Software stacks", "AI/HPC workloads", "Credibility", "Solution Architecture", "Customer Engagements", "Technical Advising", "Solution design", "Technical advising", "Customer engagements", "Architecture reviews", "Technical plans", "Program management", "Customer workloads", "Business objectives" ], "skillCount" : 15, "jobCategory" : "other", "jobSubcategory" : "infrastructure", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2cf9a674d8ee00a0a9b501", "title" : "Senior Manager, Strategic Finance- Insights and Analytics", "company" : "Lightspeed", "industry" : "Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager, Strategic Finance- Insights and Analytics in Calgary, Canada, adjusted for the SaaS industry and company size." }, "location" : "Calgary", "locations" : [ "Calgary" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T06:17:14.426", "fingerprint" : "bf2eadd45eb20fec05667211e5a65d5f39f14156690c86b9ec9cc0d9c7d703dc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/6c5e7594-8c96-4f96-82d5-e9884d61f971/application", "externalId" : "6c5e7594-8c96-4f96-82d5-e9884d61f971", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; Quantitative skills", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "quantitative-skills" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills" ], "remoteFriendly" : false, "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Manager, Strategic Finance- Insights and Analytics at Lightspeed", "createdAt" : "2026-06-14T18:35:59.408", "lastUpdated" : "2026-06-16T06:17:14.426", "ingestTimestamp" : "2026-06-14T18:35:59.408", "mongoId" : "6a2cf9a674d8ee00a0a9b501", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cf9a674d8ee00a0a9b505", "title" : "Senior Manager, Strategic Finance- Insights and Analytics", "company" : "Lightspeed", "industry" : "Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Manager in Strategic Finance- Insights and Analytics in Montreal, Canada, adjusted for SaaS industry and company size." }, "location" : "Montreal", "locations" : [ "Montreal" ], "timestamp" : "2026-06-16T00:24:08.921", "fingerprint" : "962d4f2b3b2ae2c005e75a57be8a439e7893874680b9b017354a702bab27d6e2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/cfaec63e-0a09-4702-b6d1-913a3d52b466/application", "externalId" : "cfaec63e-0a09-4702-b6d1-913a3d52b466", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families - We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen .Tuesday's- Thursday's: Lunch is served, and Thursday’s is Happy hours with a variety of drinks and snacks #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Manager, Strategic Finance- Insights and Analytics at Lightspeed", "createdAt" : "2026-06-14T20:26:54.924", "lastUpdated" : "2026-06-16T00:24:08.921", "ingestTimestamp" : "2026-06-14T20:26:54.924", "mongoId" : "6a2cf9a674d8ee00a0a9b505", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306724f292fd229cfb9ac9", "title" : "Evidence and Insights Manager", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3800000.0, "max" : 6500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Evidence and Insights Manager in Kenya, adjusted for the non-profit industry and contract employment type." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T06:58:42.744", "fingerprint" : "fe282112e60fdd0b35eb9991d7b1a64b9dc9a306eafa3ea496f05e08adbd32f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591795002", "externalId" : "8591795002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Data analysis", "Reporting", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management" ], "hardSkillsList" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Digital data analysis", "level" : "intermediate" }, { "name" : "Research methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" }, { "name" : "Public speaking" }, { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied research, Monitoring and evaluation, Data analysis, Reporting", "majorSkillsList" : [ "Applied research", "Monitoring and evaluation", "Data analysis", "Reporting" ], "coreResponsibilities" : "Write requests for proposals, Write Terms of Reference, Review research tools, Advise on sampling strategies, Advise on methodologies, Review analysis, Review reporting, Support quality assurance during fieldwork, Conduct on-site visits, Provide technical expertise to research projects, Provide technical expertise to M&E projects, Advise on fit-for-purpose designs, Suggest qualitative methodologies, Suggest quantitative methodologies, Suggest other research approaches, Ensure ethical standards are upheld, Ensure safeguarding standards are upheld, Ensure field implementation is conducted to high standards, Train field research partners, Oversee field research partners, Ensure research outputs are accessible, Ensure research outputs are understandable, Ensure research outputs are useful, Utilise research outputs, Develop research partnerships, Maximise opportunities for cost-sharing, Maximise opportunities for joint learning, Deliver other duties relevant to position", "teamCollaboration" : "Work across functions; Work across countries; Work alongside global MERL team", "projectManagementSkills" : [ "Project management", "Research processes", "Research timelines" ], "domainKnowledge" : "Gender; Sexual reproductive health; Mental health; Economic empowerment", "domainList" : [ "gender", "sexual-reproductive-health", "mental-health", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "communicationSkills" : "Knowledge management communication; Engaging reports; Research outputs communication", "documentationSkills" : "Reporting; Research outputs", "innovationCreativity" : "Creative mindset", "problemSolvingSkills" : "Uncovering new insights; Translating insights", "specialRequirements" : "12 month contract basis", "qualificationsBasic" : "Minimum 5 years applied research, Minimum 4 years M&E experience, Postgraduate degree in relevant field, SQL proficiency, Qualitative and quantitative research design, Fieldwork experience, Data analysis experience, Reporting experience, Commissioning research agencies, Managing research agencies, Qualitative data analysis, Quantitative data analysis, Digital adaptations data analysis, Uncovering new insights, Translating insights into reports, Strategic planning experience, Knowledge management experience, Communication skills, Organisation skills, Project management skills, Cultural awareness, Sensitivity to cultures, Creative mindset, Inquisitive mindset, Fluent in English, High level English writing, High level English speaking", "qualificationsPreferred" : "Experience with girls on sensitive issues, Experience with participatory engagement, Technical knowledge in thematic areas, Background evaluating programs for women/girls, Hands-on applied research experience, Experience training others in research methods, Experience mentoring others in research methods, Experience training others in data analysis, Experience mentoring others in data analysis, Experience training others in reporting, Experience mentoring others in reporting", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Evidence write requests for proposals and Terms of Reference for studies, review research tools, advise on sampling strategies and methodologies, and review analysis and reporting. Support with quality assurance during fieldwork, with on-site visits' or something, as I think this will be a key aspect of the role. Provide technical expertise to research, monitoring, and evaluation projects, working alongside our global MERL team as required. You will advise on fit-for purpose designs suggesting qualitative and/or quantitative methodologies or other approaches (e. g. using digital methods or secondary data sources) as appropriate. Ensure that Girl Effect’s ethical and safeguarding standards are upheld, and that field implementation is conducted to the highest standards, through training and oversight of field research partners. Ensure that research outputs are accessible, readily understandable, and useful, ensuring they are utilised as much as possible. Develop research partnerships with local and international research organisations to maximise opportunities for cost-sharing and joint learning. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are (Experience Required) Substantial experience (minimum 5 years) in applied research and/or monitoring and evaluation in Kenya or a postgraduate degree in a relevant field and at least 4 years of work experience. Passionate about working with adolescent girls and young women and truly supporting them thrive in challenging environments. Demonstrated experience in implementation of high quality qualitative and quantitative research design, fieldwork, data analysis and reporting. Experience of commissioning and managing research agencies throughout projects ensuring deliverables are completed on time and meeting the organisational needs. Strong qualitative and quantitative data analysis skills; proficient with digital adaptations. Demonstrated experience in uncovering new insights and translating these into exciting, engaging reports and research outputs. Experience in strategic planning and knowledge management Strong communication skills; able to work effectively across functions and countries. Excellent organisation and project management skills; able to develop and drive research processes and timelines. Strong cultural awareness and sensitivity about the cultures within which Girl Effect operates. Creative and inquisitive mindset with strong communication and organisational skills. Commitment to realising the potential of girls and to the vision and values of Girl Effect. Desirable Expertise working with girls on sensitive issues in Kenya Experience with participatory engagement approaches Technical/theoretical knowledge in one or more of Girl Effect’s thematic areas (e. g. gender, sexual and reproductive health, mental health, or economic empowerment) Background in evaluating programmes that relate to women and girls Hands-on experience of applied research in emerging markets or developing contexts. Experience in training and mentoring others in research methods, data analysis and reporting. Fluent in English, with a high level in writing as well as speaking What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Evidence and Insights Manager at Girl Effect. Skills: Applied research, Monitoring and evaluation, Data analysis, Reporting. Write requests for proposals. Write Terms of Reference", "postedDate" : "2026-06-15T23:29:34.800", "createdAt" : "2026-06-15T23:29:34.800", "lastUpdated" : "2026-06-16T06:58:42.744", "ingestTimestamp" : "2026-06-15T23:29:34.800", "mongoId" : "6a306724f292fd229cfb9ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting", "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring", "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management", "Research processes", "Research timelines", "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "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" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "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, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 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, Insights and Analytics at Dyne Therapeutics. Skills: Statistical modeling, Data analysis. Analyze experimental data. Develop statistical models", "postedDate" : "2026-06-15T23:23:00.223", "createdAt" : "2026-06-15T23:23:00.223", "lastUpdated" : "2026-06-16T08:31:17.425", "ingestTimestamp" : "2026-06-15T23:23:00.223", "mongoId" : "6a305b67f292fd229cf5d4fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Experimental design", "Data analysis", "Statistical analysis", "Data visualization", "Biotechnology", "Drug discovery", "JMP", "Spotfire", "R", "Python", "SQL" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cf9a674d8ee00a0a9b504", "title" : "Senior Manager, Strategic Finance- Insights and Analytics", "company" : "Lightspeed", "industry" : "Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Manager in Strategic Finance- Insights and Analytics at a SaaS company in Vancouver, Canada, adjusted for seniority and industry." }, "location" : "Vancouver", "locations" : [ "Vancouver" ], "timestamp" : "2026-06-16T02:42:21.126", "fingerprint" : "c918e4b0fed79a48361f9395f3a13b8cd34e3d52315ada5836c322318c8cd2c8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/665b18e9-d46e-4815-b58c-6fd63cf4e05c/application", "externalId" : "665b18e9-d46e-4815-b58c-6fd63cf4e05c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families At Lightspeed, we carefully consider a wide range of factors when determining compensation, including your skill set, qualifications, experience, and market data. These considerations can cause your compensation to vary. We reasonably expect the total compensation for this position to be in the range of $140,000-180,000k Lightspeed also provides a variety of employee benefits including, but not limited to, medical, dental, wellness, life and disability insurance, RRSP plan and match, paid parental leave top-up, and paid time off. Please note that this compensation information is solely for candidates hired to perform work within Ontario and reflects the amount Lightspeed is willing to pay at the time of this posting. This role represents an existing vacancy at Lightspeed. Lightspeed uses artificial intelligence–enabled tools to support certain aspects of the recruitment process; all hiring decisions are made by our recruiting and hiring teams. #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. 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"amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413088/apply", "externalId" : "b817605e-e11c-43d1-b495-fc324dbfe248", "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" : "AWS", "professionalSkills" : [ "Technology strategy", "Business-IT transformation", "Platform modernization", "Enterprise systems", "Digital transformation", "Cloud deployment", "Migrations", "Transformational outsourcing", "Governance", "Software development", "Enterprise architecture", "Sales background", "Solution architecture", "Business development" ], "hardSkillsList" : [ "Technology strategy", "Business-IT transformation", "Platform modernization", "Enterprise systems", "Digital transformation", "Cloud deployment", "Migrations", "Transformational outsourcing", "Governance", "Software development", "Enterprise architecture", "Solution architecture" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Technology strategy", "level" : "intermediate" }, { "name" : "Business-IT transformation", "level" : "intermediate" }, { "name" : "Platform modernization", "level" : "intermediate" }, { "name" : "Enterprise systems", "level" : "intermediate" }, { "name" : "Digital transformation", "level" : "intermediate" }, { "name" : "Cloud deployment", "level" : "intermediate" }, { "name" : "Migrations", "level" : "intermediate" }, { "name" : "Transformational outsourcing", "level" : "intermediate" }, { "name" : "Governance", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Enterprise architecture", "level" : "intermediate" }, { "name" : "Solution architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Enterprise architecture, Cloud deployment, Digital transformation", "majorSkillsList" : [ "Enterprise architecture", "Cloud deployment", "Digital transformation" ], "coreResponsibilities" : "Build common vision, Build architecture, Engage in pursuits, Define outcome-based solution, Ensure solutions work together, Align to standards, Leverage common solutions, Meet financial targets, Serve as technical sponsor, Engage with system integrators, Provide oversight, Create board presentations, Articulate strategy, Articulate vision, Articulate value case, Present strategy, Present vision, Partner with Sales Leadership, Partner with Field Sales, Partner with cross functional teams, Help execute pursuit", "teamCollaboration" : "Cross functional teams; Sales teams; Business development teams; Strategy teams; System integrators; ISVs; Partners", "domainKnowledge" : "Enterprise IT infrastructure; Distributed computing", "domainList" : [ "enterprise-it-infrastructure", "distributed-computing" ], "domainSpecificKnowledge" : [ "Enterprise IT infrastructure", "Distributed computing" ], "communicationSkills" : "Executive presentations; Board ready presentations", "innovationCreativity" : "Reimagine business; Reinvent business; Transform business; Create new business models", "outcomesObjectives" : "Create economic value", "qualificationsBasic" : "10+ years IT/Consulting, Bachelor's degree, 5+ years technical leadership", "qualificationsPreferred" : "10+ years architecture design, Experience influencing C-level executives, IT industry thought leader, Experience implementing AWS services, Experience leading large IT programs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking Principal Enterprise Architects to join our Strategic Customer Engagements (SCE) team to work on AWS’s most complex commercial pursuits. The ideal candidate has experience in leading global technology strategies with enterprise companies, demonstrated experience in defining strategic technology initiatives, bringing together multiple solutions together to create a holistic solution. You are a proven expert and thought-leader in complex business-IT transformations including platform modernization, enterprise systems, digital transformation, cloud deployment and migrations, transformational outsourcing, governance, software development, and enterprise architecture. You have a sales background that enables you to drive a pursuit engagement. You are a well-rounded and broad architect that is able to easily interact with builders, architects, and C-suite leadership. Customers we engage with are looking to be disruptive and leaders in their markets and industries. You will advise them on how they can reimagine, re-invent and transform their business to create new business models and economic value, using modern digital technologies. Key job responsibilities • Work with senior customer leaders (CIO and CTO) to build a common vision and architecture based on the transformation strategy • Engage in pursuits that span across multiple Amazon businesses • Define end-to-end holistic outcome-based solution in collaboration with sales, strategy, and business development teams • Ensure multiple solutions work together, align to enterprise architecture standards, leverage common solutions and services, and meet financial targets (cost and benefits) • Serve as the AWS executive technical sponsor for the strategic transformation initiative • Engage with system integrators, multiple ISVs and other partners and provide oversight • Create board ready presentations articulating the transformation strategy, solution vision and value case • Present the strategy and vision to the C-suite including CEOs, COO, CFO, CIO and CTO • Partner closely with Sales Leadership teams and Field Sales organization Partner with cross functional teams across Amazon and partners – legal, product, engineering, architecture, structuring, and professional services to help execute a winning pursuit 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: - 10+ years of IT and/or Management Consulting Services, or 10+ years of progressive technology implementation experience - Bachelor's degree - 5+ years in a technical leadership role e.g. CTO, Head of Technology, Engineering/Technology Director, General Manager, Principal Solutions Architect, Lead Architect/Engineer, etc. Preferred Qualifications: - 10+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience engaging and influencing C-level executives, both business and technical - Experience as an IT industry thought leader on relevant topics related to enterprise IT infrastructure - Experience implementing AWS services in a variety of distributed computing environments - Experience in leading complex, large-scale, IT, technical or engineering programs 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, GA, Atlanta - 170,000.00 - 230,000.00 USD annually USA, IL, Chicago - 170,000.00 - 230,000.00 USD annually USA, MN, Minneapolis - 170,000.00 - 230,000.00 USD annually USA, NY, New York - 187,000.00 - 252,900.00 USD annually USA, TN, Nashville - 153,000.00 - 207,000.00 USD annually USA, TX, Dallas - 170,000.00 - 230,000.00 USD annually USA, VA, Arlington - 170,000.00 - 230,000.00 USD annually USA, WA, Seattle - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Enterprise Architect, Strategic Customer Engagements, Enterprise Architecture, SCE at Amazon Web Services, Inc.. Skills: Enterprise architecture, Cloud deployment, Digital transformation. Build common vision. Build architecture", "postedDate" : "2026-06-13T13:25:38.211", "createdAt" : "2026-06-13T13:25:38.211", "lastUpdated" : "2026-06-15T04:53:53.887", "ingestTimestamp" : "2026-06-13T13:25:38.211", "mongoId" : "69fda4e44c40e2acd1b998f9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413088/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Technology strategy", "Business-IT transformation", "Platform modernization", "Enterprise systems", "Digital transformation", "Cloud deployment", "Migrations", "Transformational outsourcing", "Governance", "Software development", "Enterprise architecture", "Solution architecture", "Leadership", "Sales background", "Business development", "Enterprise IT infrastructure", "Distributed computing" ], "skillCount" : 17, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176c774d8ee00a0c1adbc", "title" : "Data Engineer, WW Promotions Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Data Engineering, north america stores", "salary" : { "min" : 103300.0, "max" : 172600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:12:51.771", "fingerprint" : "be379a15adb0d165f4e7fbac44c1dc26058391c402487f29249070d19d908bff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "externalId" : "88a730ec-f4bb-4fe3-bfe8-4633080161a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Redshift, S3, Glue, EMR, Kinesis, Lambda, Python, Scala, Airflow", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD" ], "hardSkillsList" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data processing systems", "level" : "intermediate" }, { "name" : "Data pipeline performance", "level" : "intermediate" }, { "name" : "Data reliability", "level" : "intermediate" }, { "name" : "Cost-efficiency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, AWS services, Data pipelines", "majorSkillsList" : [ "Data engineering", "AWS services", "Data pipelines" ], "coreResponsibilities" : "Design data processing systems, Build data processing systems, Operate data processing systems, Leverage expertise in Python, Develop custom data processing frameworks, Develop automation tools, Collaborate with data scientists, Collaborate with analysts, Collaborate with product managers, Optimize data pipeline performance, Optimize data pipeline reliability, Optimize data pipeline cost-efficiency, Mentor junior engineers, Share knowledge of data engineering, Stay up-to-date with big data technologies, Stay up-to-date with architectural patterns, Drive adoption of innovative solutions", "teamCollaboration" : "With data scientists; With analysts; With product managers", "domainKnowledge" : "Promotions data; Promotional strategies; Selling Partners; Big data technologies; Architectural patterns", "domainList" : [ "promotions-data", "promotional-strategies", "selling-partners", "big-data-technologies", "architectural-patterns" ], "domainSpecificKnowledge" : [ "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns" ], "toolProficiency" : [ "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "continuousLearning" : "Stay up-to-date with technologies; Drive adoption of solutions", "innovationCreativity" : "Drive adoption of innovative solutions", "problemSolvingSkills" : "Translate business requirements", "qualificationsBasic" : "3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually", "summaryDescription" : "Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. Build data processing systems", "postedDate" : "2026-06-13T09:12:42.868", "createdAt" : "2026-06-13T09:12:42.868", "lastUpdated" : "2026-06-15T03:12:51.771", "ingestTimestamp" : "2026-06-13T09:12:42.868", "mongoId" : "6a2176c774d8ee00a0c1adbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency", "Mentoring", "Data engineering", "AWS services", "Data pipelines", "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD", "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns", "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cafed74d8ee00a09d83ce", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T09:58:14.336", "fingerprint" : "1141533a0ea2a9896faa30a62c944cb0be691492717a7ccd0019375ea41bcbde", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/64c47211-cf25-4747-b3d6-848fecb0f39a/application", "externalId" : "64c47211-cf25-4747-b3d6-848fecb0f39a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML", "professionalSkills" : [ "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "hardSkillsList" : [ "ML" ], "softSkillsList" : [ "curious, caring, cross-functional" ], "hardSkills" : [ { "name" : "ML", "level" : "intermediate" } ], "softSkills" : [ { "name" : "curious, caring, cross-functional" } ], "majorSkills" : "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "majorSkillsList" : [ "Platform leadership, Product judgement, Commercial impact, Data platform, ML" ], "coreResponsibilities" : "Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "teamCollaboration" : "Build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful.", "communicationSkills" : "Direct", "documentationSkills" : "documentation", "innovationCreativity" : "Shape the future state, zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming.", "problemSolvingSkills" : "system design; debugging; algorithms", "specialRequirements" : "Must be able to work in Barcelona, Edinburgh or London. Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. 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As the growth engine of NIQ/GfK, the Sales function plays a critical role in the company’s overall success. In this role, you will be responsible for leading sales and renewals within your assigned portfolio—building a healthy and sustainable pipeline, identifying and developing new revenue streams, and strengthening relationships with existing clients. While the primary focus will be on FMCG, the scope of the role might extend to a few new sectors to expand. In your role, you would: • Drive sales and renewals for existing accounts for own Consumer Behavior Insights + Brand (CBI+B) scope securing pipeline, new revenue opportunities and accurate forecasting while maintaining customer relationships • Develop a complete and interconnected understanding of customer's industry/business/markets/clusters • Partner with Customer Success and other relevant teams (eg. Retail Measurement, Retailer + Tech & Durables Account Leaders) to develop and execute Account Plans and JBPs • Working with Customer Success teams to ensure client satisfaction • Collect, analyze, act-on and escalade as appropriate Voice of Customer feedback • Expand customer network to identify new budget holders • Escalate product needs and trends related to Consumer Behaviour Insights and Brand (CBI+B) products and solutions ## Qualifications About you: You are a high-performing deal maker with a growth mindset of revenue targets. You know how to build and promote strong long-lasting client relationships. A proven leader, you motivate your teams to work with passion on sales opportunities. You’re energized by accelerating sales, uncovering opportunities, and exceeding targets while bringing the best out of your team. A deep understanding of the market landscape, our CBI+B products, and our processes is at the forefront of your mind. You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow. You strengthen our relationship with customers and unlock opportunities for growth. Selling, understanding our customers and their contexts, effective negotiation and growth mindset drive your work. Qualifications: • Min 7-10+ years of experience • Solid sales skills and developed sales expertise in target scope • Solid understanding of data analytics industry, business model, products, services, and solutions like Brand Health, Segmentation, Usage & Attitude studies, Shopper and Shopping Behavior, Customer Experience and Advertising Effectiveness. • Experience working with FMCG clients • Solid understanding of market trends and its interdependencies impacting customers ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. 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As the growth engine of NIQ/GfK, the Sales function plays a critical role in the company’s overall success. In this role, you will be responsible for leading sales and renewals within your assigned portfolio—building a healthy and sustainable pipeline, identifying and developing new revenue streams, and strengthening relationships with existing clients. While the primary focus will be on FMCG, the scope of the role might extend to a few new sectors to expand. In your role, you would: • Drive sales and renewals for existing accounts for own Consumer Behavior Insights + Brand (CBI+B) scope securing pipeline, new revenue opportunities and accurate forecasting while maintaining customer relationships • Develop a complete and interconnected understanding of customer's industry/business/markets/clusters • Partner with Customer Success and other relevant teams (eg. Retail Measurement, Retailer + Tech & Durables Account Leaders) to develop and execute Account Plans and JBPs • Working with Customer Success teams to ensure client satisfaction • Collect, analyze, act-on and escalade as appropriate Voice of Customer feedback • Expand customer network to identify new budget holders • Escalate product needs and trends related to Consumer Behaviour Insights and Brand (CBI+B) products and solutions ## Qualifications About you: You are a high-performing deal maker with a growth mindset of revenue targets. You know how to build and promote strong long-lasting client relationships. A proven leader, you motivate your teams to work with passion on sales opportunities. You’re energized by accelerating sales, uncovering opportunities, and exceeding targets while bringing the best out of your team. A deep understanding of the market landscape, our CBI+B products, and our processes is at the forefront of your mind. You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow. You strengthen our relationship with customers and unlock opportunities for growth. Selling, understanding our customers and their contexts, effective negotiation and growth mindset drive your work. Qualifications: • Min 7-10+ years of experience • Solid sales skills and developed sales expertise in target scope • Solid understanding of data analytics industry, business model, products, services, and solutions like Brand Health, Segmentation, Usage & Attitude studies, Shopper and Shopping Behavior, Customer Experience and Advertising Effectiveness. • Experience working with FMCG clients • Solid understanding of market trends and its interdependencies impacting customers ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Strategic Analytics & Insights Business Partner (FMCG) at NielsenIQ", "postedDate" : "2026-06-15T03:36:41.000", "createdAt" : "2026-06-15T23:56:31.603", "lastUpdated" : "2026-06-16T09:06:39.492", "ingestTimestamp" : "2026-06-15T23:56:31.603", "mongoId" : "6a305dbff292fd229cf69ee7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176c874d8ee00a0c1adf6", "title" : "Sr Mechanical Engineer - GSE Tooling", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 137300.0, "max" : 185700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T02:53:24.544", "fingerprint" : "c59fbf540cc941a2baafeef6711a5c318617c483952c79158dfffc39dec1f0d5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438786/apply", "externalId" : "12613e43-17da-4775-9f82-edd31b3aa620", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "NX, Simcenter 3D, Finite Element Analysis", "professionalSkills" : [ "Project management", "Cost estimate", "Scheduling", "Geometric design", "Design intent", "Budgeting", "Manufacturing processes", "Material handling" ], "hardSkillsList" : [ "CAD Design", "3D modeling", "2D engineering drawings", "GD&T", "Hand calculations", "Finite Element Analysis", "Structural analysis", "Stiffness analysis", "Strength analysis", "Structural dynamics", "Weldments", "Bolted structures" ], "softSkillsList" : [ "High standards", "Entrepreneurial" ], "hardSkills" : [ { "name" : "CAD Design", "level" : "intermediate" }, { "name" : "3D modeling", "level" : "intermediate" }, { "name" : "2D engineering drawings", "level" : "intermediate" }, { "name" : "GD&T", "level" : "intermediate" }, { "name" : "Hand calculations", "level" : "intermediate" }, { "name" : "Finite Element Analysis", "level" : "intermediate" }, { "name" : "Structural analysis", "level" : "intermediate" }, { "name" : "Stiffness analysis", "level" : "intermediate" }, { "name" : "Strength analysis", "level" : "intermediate" }, { "name" : "Structural dynamics", "level" : "intermediate" }, { "name" : "Weldments", "level" : "intermediate" }, { "name" : "Bolted structures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High standards" }, { "name" : "Entrepreneurial" } ], "majorSkills" : "Mechanical Design, Tooling Design, Satellite Assembly, Finite Element Analysis", "majorSkillsList" : [ "Mechanical Design", "Tooling Design", "Satellite Assembly", "Finite Element Analysis" ], "coreResponsibilities" : "Develop custom tooling, Design custom tooling, Analyze custom tooling, Implement custom tooling, Convert requests into systems, Manage project execution, Define creative solutions, Conceive creative solutions, Design fixtures, Design mechanisms, Design hardware, Support testing satellite components, Validate the design, Perform hand-calculations, Perform Finite Element Analysis, Create Geometric design using 3D CAD, Create 2D engineering drawings, Communicate design intent, Budget projects, Schedule projects, Work with manufacturing teams, Work with vendors, Work with manufacturing teams on commissioning, Work with operation teams on commissioning", "teamCollaboration" : "Work with vehicle teams; Work with manufacturing teams; Work with integration teams; Work with operation teams; Work with interdisciplinary teams; Work with leaders in multiple technology areas; Work with product teams", "projectManagementSkills" : [ "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks", "Project management" ], "domainKnowledge" : "Satellite production; Aerospace hardware; Assembly tooling; Low Earth Orbit", "domainList" : [ "satellite-production", "aerospace-hardware", "assembly-tooling", "low-earth-orbit" ], "domainSpecificKnowledge" : [ "Satellite production", "Aerospace hardware", "Assembly tooling", "Low Earth Orbit" ], "toolProficiency" : [ "NX", "Simcenter 3D" ], "communicationSkills" : "Communicate design intent", "documentationSkills" : "2D engineering drawings", "innovationCreativity" : "Creative solutions", "problemSolvingSkills" : "Problem solving; Troubleshooting", "specialRequirements" : "Export Control Requirement", "outcomesObjectives" : "Improve product performance; Improve product quality; Improve product cost", "qualificationsBasic" : "Bachelor's degree or above in Mechanical Engineering, 2+ years of project management experience, 4+ years of working in mechanical engineering, 3+ years of experience with CAD Design, 1+ years of experience of structural analysis, U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S. as a refugee, Granted asylum", "qualificationsPreferred" : "Experience working with interdisciplinary teams, Project management of technical projects, Design of mechanism, bolted and welded structures, Design of assembly fixtures, Design of alignment fixtures, Design of test fixtures, Design of rigging, Design of material handling, Knowledge of mechanical engineering fundamentals, Design analysis experience with stiffness/strength, Design analysis experience with structural dynamics, Design analysis experience with weldments, Design analysis experience with bolted structures, Experience designing tooling for aerospace hardware, Practical knowledge of manufacturing processes, Practical knowledge of materials used in assembly tooling, Experience with NX 3D modeling, Experience with Simcenter 3D FEA simulation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. As a Senior Mechanical Design Engineer for Amazon Leo Tooling, you will support the program on the transition from development into stable production. You will develop, design, analyze, and implement custom tooling and equipment required for assembling and testing the satellite. You will need to convert the requests from various teams into systems that are easy to use, cost effective, and accurate. In addition, you will be responsible for project management, cost estimate and scheduling. This is a fast-paced, intellectually challenging position, and you’ll work with leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your product’s performance, quality and cost. We want individuals who are ready for this challenge and want to reach beyond what is possible today. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment. We will need to tackle problems that span a variety of domains. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities - Work with vehicle, manufacturing, integration and operation teams to define and conceive creative solutions to unique problems. - Design fixtures, mechanisms, and other types of hardware to support safe, efficient, and reliable testing of satellite components. - Utilize engineering fundamentals to validate the design including hand-calculations and Finite Element Analysis. - Geometric design using 3D CAD (NX) for parts and assemblies and 2D engineering drawings to communicate design intent. - Project manage execution of design including budgeting, scheduling and working with manufacturing teams and vendors. - Work directly with manufacturing and operation teams on commissioning designs on production floor. A day in the life This is a fast-paced, intellectually challenging position, and you’ll work with leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your product’s performance, quality and cost. We want individuals who are ready for this challenge and want to reach beyond what is possible today. About the team The Leo Tooling team is responsible for designing and commissioning the hard tooling, mechanisms, jigs, and integrated machines used for satellite production. This is a team of engineers and support technicians that provide in-house unique and creative solutions on tight timelines. Basic Qualifications: - Bachelor's degree or above in Mechanical Engineering - 2+ years of project management, including resource planning, managing schedules, reporting project status and prioritizing tasks experience - 4+ years of working in mechanical engineering or equivalent experience - 3+ years of experience with CAD Design of complex systems including 3D modeling, drawings, and GD&T - 1+ years of experience of structural analysis including hand calculations and Finite Element Analysis Preferred Qualifications: - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects - Strong background in the design of mechanism, bolted and welded structures, assembly fixtures, alignment fixtures, test fixtures, rigging, and material handling - Strong knowledge of mechanical engineering fundamentals - Design analysis experience with stiffness/strength, structural dynamics, weldments, and bolted structures. - Experience designing tooling for aerospace hardware - Practical knowledge of manufacturing processes and materials used in assembly tooling - Experience with NX 3D modeling and Simcenter 3D FEA simulation. 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, WA, REDMOND - 137,300.00 - 185,700.00 USD annually", "summaryDescription" : "Sr Mechanical Engineer - GSE Tooling at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Mechanical Design, Tooling Design, Satellite Assembly, Finite Element Analysis. Develop custom tooling. Design custom tooling", "postedDate" : "2026-06-13T06:06:34.692", "createdAt" : "2026-06-13T06:06:34.692", "lastUpdated" : "2026-06-15T02:53:24.544", "ingestTimestamp" : "2026-06-13T06:06:34.692", "mongoId" : "6a2176c874d8ee00a0c1adf6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438786/apply", "salaryAnnualMin" : 137300, "salaryAnnualMax" : 185700, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "CAD Design", "3D modeling", "2D engineering drawings", "GD&T", "Hand calculations", "Finite Element Analysis", "Structural analysis", "Stiffness analysis", "Strength analysis", "Structural dynamics", "Weldments", "Bolted structures", "High standards", "Entrepreneurial", "Mechanical Design", "Tooling Design", "Satellite Assembly", "Project management", "Cost estimate", "Scheduling", "Geometric design", "Design intent", "Budgeting", "Manufacturing processes", "Material handling", "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks", "Satellite production", "Aerospace hardware", "Assembly tooling", "Low Earth Orbit", "NX", "Simcenter 3D" ], "skillCount" : 35, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace" }, { "id" : "6a3079aef292fd229c034403", "title" : "Retail Data & Consumer Insights Intern", "company" : "Umami", "industry" : "Work-Based Learning", "salary" : { "min" : 15.0, "max" : 15.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Bentonville, AR", "locations" : [ "Bentonville, AR" ], "timestamp" : "2026-06-16T12:03:59.337", "fingerprint" : "6e536fffe8e3ec6e34e36a6a3478d006e6cd30d3a0d3d1e5023943cea511c667", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/acds/f1b59e1c-6037-430d-8bcd-38f63c131057/apply", "externalId" : "f1b59e1c-6037-430d-8bcd-38f63c131057", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bentonville", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.3728608,-94.2087870" } ], "locationText" : "Bentonville, Arkansas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Clippr plugin", "professionalSkills" : [ "Consumer insights", "Product insights", "Data collection", "Data entry", "Data analysis", "Reporting", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories" ], "hardSkillsList" : [ "Data visualization", "Reporting" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Retail data, Consumer insights, AI", "majorSkillsList" : [ "Retail data", "Consumer insights", "AI" ], "coreResponsibilities" : "Capture product data, Capture pricing data, Capture packaging data, Capture assortment data, Maintain accuracy, Maintain consistency, Identify anomalies, Identify gaps, Identify trends, Flag data entry issues, Use Clippr plugin, Scrape retail product information, Tag retail product information, Organize retail product information, Execute standardized workflows, Support category scans, Support competitive benchmarking, Support assortment mapping, Structure data for analytics, Structure data for reporting, Gather review-based consumer sentiment data, Decode consumer pain points, Decode unmet needs, Decode competitive strengths, Decode competitive weaknesses, Support creation of category snapshots, Support creation of opportunity maps, Support creation of concept inputs, Support preparation of reports, Analyze patterns across retailers, Analyze patterns across categories, Analyze patterns across consumer feedback, Contribute to innovation pipeline prioritization, Organize data inputs, Synthesize data inputs, Assist with ad hoc research, Support internal documentation, Support workflow optimization, Participate in team meetings, Contribute to process improvements, Maintain internal databases, Maintain knowledge repositories, Provide general operational support", "teamCollaboration" : "Innovation team; Insights team; Product team", "domainKnowledge" : "CPG innovation; AI; Retail data; Product development", "domainList" : [ "cpg-innovation", "ai", "retail-data", "product-development" ], "domainSpecificKnowledge" : [ "CPG innovation", "AI", "Retail data", "Product development" ], "toolProficiency" : [ "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Internal documentation", "continuousLearning" : "Learning new technologies", "problemSolvingSkills" : "Identify anomalies; Identify gaps; Identify trends; Decode consumer pain points; Decode unmet needs; Decode competitive strengths; Decode competitive weaknesses", "specialRequirements" : "No future visa sponsorship", "qualificationsBasic" : "Attention to detail, Proficiency with Microsoft Excel, Proficiency with Google Sheets, Ability to identify patterns, Ability to identify trends, Ability to identify inconsistencies in data, Ability to work independently, Ability to manage multiple projects, Ability to meet deadlines, Current Arkansas state resident, Ability to pass a standard background check, Ability to work 40 hours a week, Ability to work full-time in the United States, Technical aptitude", "qualificationsPreferred" : "Familiarity with data visualization tools, Familiarity with reporting tools, Curious about CPG innovation, Excited to work at the intersection of AI, retail data, and product development, Interest in learning new technologies, Interest in growing IT career, Interest in starting IT career, Ability to communicate technical aptitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Apprenticely is working with our company partner, the Umami to add an Retail Data & Consumer Insights Intern to their team in Bentonville, Arkansas! Our Apprenticely Internship Program is a three-month program that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand. About Umami: Umami is an AI-enabled, customer-driven Food & Beverage innovation platform built to analyze customer feedback and company advantages to generate strategic product insights for innovators within consumer-driven brands. We combine machine learning, consumer data, and brands’ unique advantages—from insight to innovation. FIELDBOOK, a studio operated by Alloy Partners, is dedicated to creating and accelerating advantaged “retail value chain” startups. We are launching Umami out of Fieldbook Studio—backed by the Walton Family Foundation and the Arkansas Development Finance Authority (ADFA). About the Role: The Intern will support Umami’s retail data collection and consumer insights workflows using the Clippr plugin and related internal tools. This role is ideal for someone who is detail‑oriented, curious about CPG innovation, and excited to work at the intersection of AI, retail data, and product development. ## Intern Responsibilities Capture product, pricing, packaging, and assortment data across assigned retailers and categories Maintain accuracy and consistency across large datasets Identify anomalies, gaps, or trends during data entry and flag them for review Use the Clippr plugin to scrape, tag, and organize retail product information Execute standardized workflows to support category scans, competitive benchmarking, and assortment mapping Ensure data is properly structured for downstream analytics and reporting Assist in gathering review-based consumer sentiment data aligned with Umami’s methodology (real reviews, not social media) Help decode consumer pain points, unmet needs, and competitive strengths/weaknesses Support the creation of category snapshots, opportunity maps, and early-stage concept inputs Support the preparation of internal and client-facing reports, including charts, summaries, and insights Help analyze patterns across retailers, categories, and consumer feedback Contribute to innovation pipeline prioritization work by organizing and synthesizing data inputs Collaborate with the Innovation, Insights, and Product teams as needed Assist with ad hoc research tasks related to brand health, innovation reports, and opportunity sizing Support internal documentation and workflow optimization Participate in team meetings and contribute to process improvements Help maintain internal databases and knowledge repositories Provide general operational support as the company scales its AI-powered product development platform ## Qualifications of an ideal candidate Strong attention to detail with the ability to maintain accuracy across large datasets. Proficiency with Microsoft Excel and/or Google Sheets. Familiarity with data visualization and reporting tools such as Tableau, Power BI, Looker Studio, or similar platforms. Excellent organizational and time management skills. Strong written and verbal communication skills. Ability to identify patterns, trends, and inconsistencies in data. Comfortable learning new software tools and technology platforms. Ability to work independently while managing multiple projects and deadlines. ## Additional Details Pay Range: $15/hr Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand Location: Bentonville, Arkansas ## Our Must Haves Current Arkansas state resident Ability to pass a standard background check Ability to work 40 hours a week, following the three-month internship Ability to work full-time in the United States without a current or future need for visa sponsorship High curiosity and interest in learning new technologies and growing or starting your IT career Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know ## Additional Information How does the interview process work? Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidate’s skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program. Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on our events page. Check out our YouTube page for past webinars and career tips! Learn more about us @ www.acds.co & LinkedIn, Facebook, Instagram & Twitter The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30 SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: https://apprenticely.org/privacy-policy/", "summaryDescription" : "Retail Data & Consumer Insights Intern at Umami. Skills: Retail data, Consumer insights, AI. Capture product data. Capture pricing data", "postedDate" : "2026-06-15T14:23:33.187", "createdAt" : "2026-06-15T14:23:33.187", "lastUpdated" : "2026-06-16T12:03:59.337", "ingestTimestamp" : "2026-06-16T03:26:12.618", "mongoId" : "6a3079aef292fd229c034403", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 15, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data visualization", "Reporting", "Retail data", "Consumer insights", "AI", "Product insights", "Data collection", "Data entry", "Data analysis", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories", "CPG innovation", "Product development", "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306b59f292fd229cfd01e4", "title" : "Manager Assurance Data & Analytics AI Tooling", "company" : "KPMG Nederland", "industry" : "Accounting", "salary" : { "min" : 5085.0, "max" : 5500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amstelveen, NH, Netherlands", "locations" : [ "Amstelveen", "NH", "Netherlands" ], "certifications" : [ "RA", "ACA", "CA", "CPA" ], "timestamp" : "2026-06-16T11:34:17.053", "fingerprint" : "b1019f3aea93ab5959265f209d128a26cf1b48435ff6fefb7f51d5ed69a7625e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KPMGNederland/744000132126431-manager-assurance-data-analytics-ai-tooling", "externalId" : "744000132126431", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amstelveen", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2862177,4.8526493" } ], "locationText" : "Amstelveen, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Data analytics, AI-driven tools", "professionalSkills" : [ "Risk assessment", "Audit methodology", "Business cases" ], "hardSkillsList" : [ "Transaction testing", "Data-driven risk assessments" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Transaction testing", "level" : "intermediate" }, { "name" : "Data-driven risk assessments", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Tooling, Data Analytics, Audit", "majorSkillsList" : [ "AI Tooling", "Data Analytics", "Audit" ], "coreResponsibilities" : "Lead AI-driven audit analytics solutions, Shape how audit teams use data, Shape how audit teams use technology, Perform risk assessments at scale, Generate audit evidence at scale, Drive adoption of AI Transaction Scoring, Drive adoption of Clara AI, Act as product owner, Prioritize enhancements aligned with audit methodology, Support audit teams with technical guidance, Apply AI-driven risk assessment, Apply AI-driven outputs, Lead a team delivering insights, Lead a team delivering business cases, Coordinate global alignment, Coordinate SAT testing, Coordinate tool releases, Deploy AI tools effectively, Adopt AI tools effectively, Continuously improve AI tools, Support audit teams in applying advanced analytics, Perform full-population transaction testing, Perform data-driven risk assessments, Translate complex analytics outputs, Deliver business cases and insights, Develop team capabilities, Collaborate with KPMG Global, Collaborate with other member firms, Align on releases, Align on governance standards, Align on best practices, Oversee system acceptance testing, Coordinate issue resolution, Drive successful tool adoption, Provide training, Provide enablement initiatives", "teamCollaboration" : "Local teams; Global counterparts; Audit engagement teams; KPMG Global; Other member firms", "projectManagementSkills" : [ "SAT testing" ], "domainKnowledge" : "Audit methodology; Risk assessment", "domainList" : [ "audit-methodology", "risk-assessment" ], "domainSpecificKnowledge" : [ "Audit methodology", "Risk assessment" ], "toolProficiency" : [ "AI Transaction Scoring", "Clara AI" ], "communicationSkills" : "Delivering presentations", "continuousLearning" : "Personal development courses; Professional development courses", "qualificationsBasic" : "Qualified accountant (RA, ACA, CA, CPA), Audit background, Experience in risk assessment, Proven experience with data analytics, Proven experience with AI-driven tools, Experience in audit or assurance context, Stakeholder management skills, Excellent communication skills, Excellent leadership skills", "qualificationsPreferred" : "Command of Dutch", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "As Manager Assurance Data & Analytics AI Tooling in Amstelveen, you lead AI-driven audit analytics solutions, shaping how audit teams use data and technology to perform risk assessments and generate audit evidence at scale. Your challenges * Drive the adoption and effective use of AI Transaction Scoring and Clara AI within audit engagements. * Act as product owner, defining and prioritising enhancements aligned with audit methodology. * Support audit teams with technical guidance on AI-driven risk assessment and outputs. * Lead a team delivering high-quality insights and business cases from analytics tools. * Coordinate global alignment, SAT testing, and successful tool releases. As Manager Assurance Data & Analytics AI Tooling, you operate at the intersection of audit and technology within KPMG’s Digital Assurance & Innovation team. You act as the product owner and central coordinator for AI Transaction Scoring (AITS) and Clara AI, ensuring these tools are effectively deployed, adopted, and continuously improved across the audit practice. You work closely with audit engagement teams, supporting them in applying advanced analytics to perform full-population transaction testing and data-driven risk assessments. You are the primary point of contact for technical queries and play a key role in translating complex analytics outputs into actionable insights. In this role, you also lead a team responsible for delivering business cases and insights, ensuring high-quality outcomes and developing team capabilities. You collaborate with KPMG Global and other member firms, aligning on releases, governance standards, and best practices. Additionally, you oversee system acceptance testing (SAT), coordinate issue resolution, and help drive successful tool adoption through training and enablement initiatives. You will be part of a dynamic, innovation-driven environment within Digital Assurance & Innovation, where audit and technology come together to shape the future of the profession. About the team At KPMG’s Digital Assurance & Innovation (Daní), audit and technology converge in a dynamic, scale-up-like environment. The team develops innovative solutions that prepare the audit function for the future, combining business insight with cutting-edge technology to deliver value in new ways. ## Qualifications * Qualified accountant (e.g. RA, ACA, CA, CPA) with a strong audit background and experience in risk assessment. * Proven experience with data analytics or AI-driven tools within an audit or assurance context. * Strong stakeholder management skills, able to work with both local teams and global counterparts. * Excellent communication and leadership skills, comfortable leading teams and delivering presentations. * In addition to English, a strong command of Dutch would be advantageous in order to effectively collaborate with local audit teams and stakeholders across the internal teams. ## Additional Information * Gross salary between €5,085 and €5,500 per month depending on your work experience, variable performance based reward, a fixed expense allowance and a fixed working from home allowance per working day. * 30 vacation days (on a full-time basis) and the option to buy more days or sell your vacation days. * At KPMG we work hybrid, so you can work from home, from the client or at the office. * A completely furnished home office. * A lease car or a mobility budget. * A laptop and iPhones. * Choice to pick from different courses which contribute to your own personal and professional development. * Diversity networks in the areas of pride, gender, ability, cultural diversity, and generations that regularly organize various activities to celebrate differences! * Focus on well-being! There is a gym at the Amstelveen office or you can get a discount for a gym near your house and you get access to different health and/or vitality programs. * ‘Together’ is one of our core values. So you can count on different social activities, like team events, drinks with colleagues and events with all your KPMG colleagues", "summaryDescription" : "Manager Assurance Data & Analytics AI Tooling at KPMG Nederland. Skills: AI Tooling, Data Analytics, Audit. Lead AI-driven audit analytics solutions. Shape how audit teams use data", "postedDate" : "2026-06-15T07:22:59.000", "createdAt" : "2026-06-16T00:19:37.347", "lastUpdated" : "2026-06-16T11:34:17.053", "ingestTimestamp" : "2026-06-16T00:19:37.347", "mongoId" : "6a306b59f292fd229cfd01e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Transaction testing", "Data-driven risk assessments", "Leadership", "AI Tooling", "Data Analytics", "Audit", "Risk assessment", "Audit methodology", "Business cases", "SAT testing", "RA", "ACA", "CA", "CPA", "AI Transaction Scoring", "Clara AI" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307efbf292fd229c0541e4", "title" : "Deal Pricing and Monetization Principal, Security", "industry" : "Banking", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Principal in the Technology industry in Dublin, Ireland, adjusted for seniority and full-time employment." }, "location" : "[Dublin, Ireland, [1 Grand Canal Plaza, Grand Canal Street Upper, Dublin, D04 HR25, Ireland], Dublin, D04 HR25, D, IE]", "locations" : [ "[Dublin, Ireland, [1 Grand Canal Plaza, Grand Canal Street Upper, Dublin, D04 HR25, Ireland], Dublin, D04 HR25, D, IE]", "[Paris, France, [Paris, France], Paris, null, IDF, FR]", "[London, UK, [London, UK], London, null, England, GB]" ], "timestamp" : "2026-06-16T12:40:10.519", "fingerprint" : "2b39dbb86b5e50d1ec5e92048c50cd171cf69b27058ca5e69bb787674a779675", "source" : "google", "language" : "en", "externalId" : "109425179662131910", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "state" : "Leinster", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Leinster, Ireland", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "summaryDescription" : "Deal Pricing and Monetization Principal, Security", "postedDate" : "2026-06-16T01:49:45.230", "createdAt" : "2026-06-16T01:49:45.230", "lastUpdated" : "2026-06-16T12:40:10.519", "ingestTimestamp" : "2026-06-16T01:49:45.230", "mongoId" : "6a307efbf292fd229c0541e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b6174d8ee00a0911fc2", "title" : "Director of Engagements", "company" : "Cadence Solutions", "industry" : "Healthcare", "salary" : { "min" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T09:31:35.496", "fingerprint" : "27a66fbb1757291f1ac679c679cfafb428220b57379c4454d84f963404ab15b9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/solutions/jobs/4684431006", "externalId" : "4684431006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "AI", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Growth strategy", "Lifecycle marketing", "Retention strategy", "Care delivery", "Experimentation initiatives", "Outreach strategies", "Workflow optimization" ], "hardSkillsList" : [ "Engagement strategy", "Adherence improvement", "Disengagement reduction", "Patient activation", "Lifecycle framework", "Engagement framework", "Targeted interventions", "Omnichannel strategies", "Automation workflows", "AI-supported prioritization" ], "hardSkills" : [ { "name" : "Engagement strategy", "level" : "intermediate" }, { "name" : "Adherence improvement", "level" : "intermediate" }, { "name" : "Disengagement reduction", "level" : "intermediate" }, { "name" : "Patient activation", "level" : "intermediate" }, { "name" : "Lifecycle framework", "level" : "intermediate" }, { "name" : "Engagement framework", "level" : "intermediate" }, { "name" : "Targeted interventions", "level" : "intermediate" }, { "name" : "Omnichannel strategies", "level" : "intermediate" }, { "name" : "Automation workflows", "level" : "intermediate" }, { "name" : "AI-supported prioritization", "level" : "intermediate" } ], "majorSkills" : "Patient retention, Patient engagement, Engagement systems, Care continuity", "majorSkillsList" : [ "Patient retention", "Patient engagement", "Engagement systems", "Care continuity" ], "coreResponsibilities" : "Own patient retention strategy, Own patient engagement strategy, Reduce disengagement, Increase patient activation, Build engagement framework, Operationalize engagement framework, Identify patient drop-off points, Design targeted interventions, Improve sustained engagement, Improve care continuity, Lead experimentation initiatives, Develop outreach strategies, Personalize engagement, Preserve trust, Preserve human connection, Build engagement infrastructure, Evolve engagement infrastructure, Improve outreach efficiency, Improve patient adherence, Improve team scalability", "teamCollaboration" : "Partner with Clinical; Partner with Product; Partner with Marketing; Partner with Operations; Partner with Partnerships", "domainKnowledge" : "Chronic disease management; Clinical AI; Remote care programs; Health system EMRs; Clinical Intelligence platform; Medicare; Health system partners; AI agents", "domainList" : [ "chronic-disease-management", "clinical-ai", "remote-care-programs", "health-system-emrs", "clinical-intelligence-platform", "medicare", "health-system-partners", "ai-agents" ], "domainSpecificKnowledge" : [ "Chronic disease management", "Clinical AI", "Remote care programs", "Health system EMRs", "Clinical Intelligence platform", "Medicare", "Health system partners", "AI agents" ], "toolProficiency" : [ "Braze", "HubSpot" ], "innovationCreativity" : "High-impact experimentation", "problemSolvingSkills" : "Analytical capabilities; Experimentation capabilities; Translate data into improvements", "outcomesObjectives" : "Improve patient outcomes; Strengthen retention; Expand reach of care", "qualificationsBasic" : "Bachelor's degree required, 8-10+ years experience", "qualificationsPreferred" : "Experience in healthcare, Experience in consumer health, Experience in B2B2C environments, Fluency with AI research tools, Ability to evaluate AI-driven insights", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. The Role We’re hiring a Director of Engagements to own patient retention, adherence, and long-term engagement across Cadence’s remote care programs. You’ll lead the strategy, systems, and operational execution behind how patients stay connected to care between visits - from onboarding and activation through ongoing chronic disease management. This role sits at the intersection of growth, operations, and care delivery, partnering across Clinical, Product, Marketing, Operations, and Partnerships to build scalable engagement systems that improve patient outcomes, strengthen retention, and expand the reach of technology-enabled care. What You’ll Do Own end-to-end patient retention and engagement strategy across Cadence’s remote care programs, with accountability for adherence, disengagement reduction, and long-term patient activation. Build and operationalize a lifecycle engagement framework spanning enrollment, onboarding, activation, care plan adherence, and ongoing chronic disease management. Identify key patient drop-off points across clinical and operational workflows, then design targeted interventions that improve sustained engagement and care continuity. Lead high-impact experimentation initiatives across outreach channels, engagement triggers, segmentation strategies, and automation workflows to improve retention and patient experience. Develop scalable omnichannel patient outreach strategies across phone, SMS, email, and automated workflows that personalize engagement while preserving trust and human connection. Partner cross-functionally with Product, Clinical, Marketing, Operations, and Partnerships teams to align engagement systems with care delivery goals, operational workflows, and patient outcomes. Build and evolve Cadence’s engagement infrastructure using automation, AI-supported prioritization, and workflow optimization to improve outreach efficiency, patient adherence, and team scalability. What You Need Bachelor’s degree required. 8-10+ years of experience in growth, engagement, lifecycle marketing, retention, or related operational leadership roles, preferably in healthcare, consumer health, or complex B2B2C environments. Demonstrated experience building and scaling engagement systems, programs, or operational workflows from early-stage pilots through repeatable execution at scale. Strong analytical and experimentation capabilities with experience translating behavioral, operational, or engagement data into measurable retention and adherence improvements. Experience designing and managing omnichannel engagement strategies across SMS, phone, email, and automated outreach platforms. Experience with CRM, engagement automation, analytics, or lifecycle management platforms such as Braze, HubSpot, or comparable systems. Proven ability to lead cross-functional initiatives across Product, Clinical, Marketing, Operations, and Partnerships teams in matrixed environments. Fluency with AI research and productivity tools and the ability to evaluate AI-driven insights critically, distinguishing signal from noise in a fast-moving information environment. Compensation Our job titles may span more than one career level. Expected on-target earnings (OTE) for this role typically range between $180,000 - $210,000, depending on experience, skills, seniority, and business needs. In addition to base salary, this role may be eligible for equity as part of the total compensation package.. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.", "summaryDescription" : "Director of Engagements at Cadence Solutions. Skills: Patient retention, Patient engagement, Engagement systems, Care continuity. Own patient retention strategy. Own patient engagement strategy", "postedDate" : "2026-06-14T08:12:24.951", "createdAt" : "2026-06-14T08:12:24.951", "lastUpdated" : "2026-06-15T09:31:35.496", "ingestTimestamp" : "2026-06-14T08:12:24.951", "mongoId" : "6a2c6b6174d8ee00a0911fc2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 210000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Engagement strategy", "Adherence improvement", "Disengagement reduction", "Patient activation", "Lifecycle framework", "Engagement framework", "Targeted interventions", "Omnichannel strategies", "Automation workflows", "AI-supported prioritization", "Patient retention", "Patient engagement", "Engagement systems", "Care continuity", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Growth strategy", "Lifecycle marketing", "Retention strategy", "Care delivery", "Experimentation initiatives", "Outreach strategies", "Workflow optimization", "Chronic disease management", "Clinical AI", "Remote care programs", "Health system EMRs", "Clinical Intelligence platform", "Medicare", "Health system partners", "AI agents", "Braze", "HubSpot" ], "skillCount" : 38, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c91dd74d8ee00a0984374", "title" : "Sr. Manager, Global Deal Desk", "company" : "LogicMonitor", "industry" : "SaaS", "salary" : { "min" : 136500.0, "max" : 171780.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-15T11:25:09.920", "fingerprint" : "edd72d72eb0f6d734446bc3c53754487020201d5d9e0f96d4a2890358d04e7ba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.logicmonitor.com/career/?gh_jid=7976642", "externalId" : "7976642", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.2711286,-97.7436995" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "Austin, Texas, United States; New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Deal strategy", "Revenue growth", "Commercial strategy", "Deal structure", "Risk mitigation", "Enterprise negotiations", "Revenue operations" ], "hardSkillsList" : [ "Sales processes", "Pricing", "Governance", "Systems optimization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Sales processes", "level" : "intermediate" }, { "name" : "Pricing", "level" : "intermediate" }, { "name" : "Governance", "level" : "intermediate" }, { "name" : "Systems optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Deal Desk, Revenue Operations, Sales Leadership", "majorSkillsList" : [ "Deal Desk", "Revenue Operations", "Sales Leadership" ], "coreResponsibilities" : "Lead strategy and execution of complex deals, Advise senior Sales leadership, Serve as escalation point for transactions, Drive scalable processes, Implement governance and systems, Accelerate revenue growth, Influence commercial strategy, Optimize deal outcomes, Shape enterprise-wide revenue operations", "teamCollaboration" : "Sales leadership; Revenue Operations", "domainKnowledge" : "Hybrid observability platform; Digital infrastructure", "domainList" : [ "hybrid-observability-platform", "digital-infrastructure" ], "domainSpecificKnowledge" : [ "Hybrid observability platform", "Digital infrastructure" ], "communicationSkills" : "Negotiations", "outcomesObjectives" : "Accelerate revenue growth", "qualificationsBasic" : "5+ years experience, Valid U.S. work authorization", "qualificationsPreferred" : "Experience with H-1B status", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us: We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This role is open to candidates based in or near Austin, TX. Our Austin office is based in the vibrant San Jacinto Center downtown with breathtaking views of Lady Bird Lake. At LogicMonitor, we hire within our Centers of Energy—vibrant locations where our teams connect, collaborate, and innovate. To learn more about life at LogicMonitor, check out our Careers Page. What You'll Do: LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! We’re seeking a Senior Manager, Deal Desk to lead complex enterprise deal strategy while driving scalable processes, governance, and systems that accelerate revenue growth. Reporting to the Sr. Director of Revenue Operations, this role serves as a trusted advisor to Sales leadership, influencing commercial strategy, optimizing deal outcomes, and shaping enterprise-wide revenue operations. Hybrid: This role is based in our Austin office with a hybrid in-office schedule. Here's a closer look at this key role: Strategic Deal Leadership Lead strategy and execution of complex, high-value deals aligned to business and revenue goals. Advise senior Sales leadership on deal structure, pricing, risk mitigation, and enterprise negotiations. Serve as an escalation point for high-risk, business-critical transactions while balancing revenue growth, profitability, and customer outcomes. Partner with Legal and Finance to remove blockers, manage risk, and ensure revenue recognition compliance. Deal Structuring we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Work Authorization: At this time, we are able to consider candidates who are authorized to work in the United States on a full-time, permanent basis without requiring new or initial employer-sponsored work authorization. Candidates who currently hold valid U. S. work authorization that can be transferred to a new employer (such as certain H-1B statuses) may be considered on a case-by-case basis. We are not able to provide new sponsorship for employment-based visas that require an initial petition or application by the employer. #LI-TD1#LI-Hybrid #BI-Hybrid LogicMonitor is dedicated to fostering a culture of transparency and fairness, including our commitment to pay transparency. We provide the base salary ranges for all positions posted within the United States. Compensation packages at LogicMonitor for eligible roles include base salary, a variable plan depending on role, along with comprehensive benefits. The range displayed on each job posting reflects the minimum and maximum base salary target for new hires in the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. As part of our holistic compensation philosophy, your package will also include, but is not limited to: Comprehensive health, dental and vision coverage, generous parental leave policies, access to our Employee Assistance Program and various Wellness programs, a 401K with company matching, a Lifestyle Spending Account, and an unlimited vacation policy. For more information on our benefits, see our careers page. The Base Salary range for this role is: $136,500—$171,780 USD Our goal is to ensure an accessible and inclusive experience for every candidate. If you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form. Know your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U. S. Pay Transparency Nondiscrimination Provision.", "summaryDescription" : "Sr. Manager, Global Deal Desk at LogicMonitor. Skills: Deal Desk, Revenue Operations, Sales Leadership. Lead strategy and execution of complex deals. Advise senior Sales leadership", "postedDate" : "2026-06-14T09:32:47.673", "createdAt" : "2026-06-14T09:32:47.673", "lastUpdated" : "2026-06-15T11:25:09.920", "ingestTimestamp" : "2026-06-14T09:32:47.673", "mongoId" : "6a2c91dd74d8ee00a0984374", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 136500, "salaryAnnualMax" : 171780, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Sales processes", "Pricing", "Governance", "Systems optimization", "Leadership", "Deal Desk", "Revenue Operations", "Sales Leadership", "Deal strategy", "Revenue growth", "Commercial strategy", "Deal structure", "Risk mitigation", "Enterprise negotiations", "Revenue operations", "Hybrid observability platform", "Digital infrastructure" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c91dd74d8ee00a0984372", "title" : "Sr. Deal Desk Analyst", "company" : "LogicMonitor", "industry" : "SaaS", "salary" : { "min" : 70000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Deal Desk Analyst in London, UK, adjusted for the SaaS industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-15T11:15:43.180", "fingerprint" : "1ae81cbb73edc02321e5de830bf09ac17e5e370ac606840a0a860e8d1a2891c4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.logicmonitor.com/career/?gh_jid=7975981", "externalId" : "7975981", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Deal structuring", "Pricing optimization", "Contract execution", "Pipeline oversight", "Customer provisioning", "Onboarding" ], "hardSkillsList" : [ "Data-driven analysis", "Problem-solving" ], "hardSkills" : [ { "name" : "Data-driven analysis", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "majorSkills" : "Deal lifecycle management, Revenue operations, Sales support", "majorSkillsList" : [ "Deal lifecycle management", "Revenue operations", "Sales support" ], "coreResponsibilities" : "Manage end-to-end deal lifecycle, Partner with Sales on deal strategy, Execute renewal and expansion deal strategies, Support CPQ quoting, Facilitate cross-functional collaboration, Ensure timely contract execution, Coordinate customer provisioning, Identify deal risks, Resolve deal bottlenecks, Support ad hoc initiatives", "teamCollaboration" : "Cross-functional stakeholders; Sales, Legal, Finance, Product", "domainKnowledge" : "Hybrid observability platform; Digital infrastructure", "domainList" : [ "hybrid-observability-platform", "digital-infrastructure" ], "domainSpecificKnowledge" : [ "Hybrid observability platform", "Digital infrastructure" ], "toolProficiency" : [ "Salesforce CPQ" ], "problemSolvingSkills" : "Problem-solving capabilities", "outcomesObjectives" : "Drive revenue growth; Support customer growth; Support customer retention; Improve efficiency; Support business growth", "qualificationsBasic" : "4+ years experience Deal Desk, 4+ years experience Sales Operations, 4+ years experience commercial deal management, SaaS environment experience", "qualificationsPreferred" : "Salesforce CPQ familiarity preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us: We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This position is located in London, England. Our office is situated in a core location near Waterloo and Blackfriars on the Southbank. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best. To learn more about life at LogicMonitor, check out our Careers Page. What You'll Do: LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! The Sr. Deal Desk Analyst is responsible for providing support to the Sales organization on all renewal and new business deal related matters. The Analyst will work with various business stakeholders across Sales, Legal, Finance, and Product to provide critical insight into the Logic Monitor customer base while supporting day-to-day operations. The Analyst will be heavily involved in scaling the business, while managing activities that support customer growth and retention. This position reports to the Sr. Director, Revenue Operations, and is an onsite position in London, UK. Here's a closer look at this key role: Manage end-to-end deal lifecycle for renewals and new business, including pipeline oversight, deal structuring, pricing approvals, and contract execution Partner with Sales as a trusted advisor on deal strategy, renewals, and new business opportunities Execute renewal and expansion deal strategies to drive revenue growth through pricing optimization and multi-year contract structuring Support CPQ quoting and contract creation, ensuring accuracy and compliance with company policies Facilitate cross-functional collaboration with Finance, Legal, and Operations to streamline deal approvals and execution Ensure timely and accurate contract execution, including Docusign processing and adherence to internal policies Coordinate customer provisioning and onboarding for new and renewing customers Proactively identify deal risks and bottlenecks, and partner cross-functionally to resolve and accelerate deal closure Support ad hoc initiatives and operational projects to improve efficiency and support business growth What You'll Need: 4+ years of experience in Deal Desk, Sales Operations, or commercial deal management within a SaaS environment Strong communication skills with ability to partner and influence cross-functional stakeholders Analytical and data-driven, with strong problem-solving capabilities Experience with Salesforce; familiarity with Salesforce CPQ preferred Ability to manage multiple priorities and complex deal cycles in a fast-paced environment Self-starter with strong ownership mindset and ability to execute independently Experience using AI tools to enhance productivity, innovation, or problem-solving Click here to read our International Applicant Privacy Notice. LogicMonitor is an Equal Opportunity Employer At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best. For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-LT1 #LI-REMOTE #LI-Hybrid #BI-Hybrid Our goal is to ensure an accessible and inclusive experience for every candidate. If you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form. Know your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U. S. Pay Transparency Nondiscrimination Provision.", "summaryDescription" : "Sr. Deal Desk Analyst at LogicMonitor. Skills: Deal lifecycle management, Revenue operations, Sales support. Manage end-to-end deal lifecycle. Partner with Sales on deal strategy", "postedDate" : "2026-06-13T20:36:57.158", "createdAt" : "2026-06-13T20:36:57.158", "lastUpdated" : "2026-06-15T11:15:43.180", "ingestTimestamp" : "2026-06-13T20:36:57.158", "mongoId" : "6a2c91dd74d8ee00a0984372", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data-driven analysis", "Problem-solving", "Deal lifecycle management", "Revenue operations", "Sales support", "Deal structuring", "Pricing optimization", "Contract execution", "Pipeline oversight", "Customer provisioning", "Onboarding", "Hybrid observability platform", "Digital infrastructure", "Salesforce CPQ" ], "skillCount" : 14, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa48c", "title" : "Senior Product Manager, Customer Insights", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T13:03:47.596", "fingerprint" : "0d7b98f3cf4ba4103012106b5097798c477c356e660b0ff25a3656601e1f0034", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/1a27ef19-4c6f-48ca-86a3-ba515ee8f7ce/apply", "externalId" : "1a27ef19-4c6f-48ca-86a3-ba515ee8f7ce", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product strategy", "Roadmap development", "Data modeling", "Reporting frameworks", "AI technologies", "Conversational analytics", "Proactive recommendations", "Intelligent workflows", "Data pipelines", "Aggregation strategies", "Data quality", "Scalability considerations", "Product-market fit", "Cross-functional leadership" ], "hardSkillsList" : [ "Analytics", "Reporting", "Business intelligence", "Data products", "Data models", "Instrumentation strategies", "Key metrics", "Reporting frameworks", "Data pipelines", "Aggregation strategies", "Data quality", "Scalability", "AI technologies", "Conversational analytics", "Proactive recommendations", "Intelligent workflows", "Audit capabilities", "Governance capabilities" ], "hardSkills" : [ { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data products", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Instrumentation strategies", "level" : "intermediate" }, { "name" : "Key metrics", "level" : "intermediate" }, { "name" : "Reporting frameworks", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Aggregation strategies", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "AI technologies", "level" : "intermediate" }, { "name" : "Conversational analytics", "level" : "intermediate" }, { "name" : "Proactive recommendations", "level" : "intermediate" }, { "name" : "Intelligent workflows", "level" : "intermediate" }, { "name" : "Audit capabilities", "level" : "intermediate" }, { "name" : "Governance capabilities", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Roadmap development, Analytics, Reporting, Data products, AI-powered insights", "majorSkillsList" : [ "Product strategy", "Roadmap development", "Analytics", "Reporting", "Data products", "AI-powered insights" ], "coreResponsibilities" : "Define product strategy, Execute product strategy, Define product roadmap, Execute product roadmap, Define product vision, Ensure alignment business objectives, Ensure alignment customer needs, Own end-to-end development analytics, Own end-to-end development reporting, Develop foundational data models, Develop customer-facing dashboards, Develop customer-facing reports, Develop audit logs, Develop APIs, Partner with engineering teams, Partner with data teams, Establish scalable data foundations, Establish meaningful usage metrics, Establish reporting frameworks, Support customer growth, Support customer retention, Lead evolution enterprise-grade audit, Lead evolution governance capabilities, Ensure usability audit capabilities, Ensure scalability audit capabilities, Ensure compliance readiness audit, Drive development AI-powered insights, Develop conversational analytics, Develop proactive recommendations, Develop intelligent workflows, Collaborate with Sales teams, Collaborate with Customer Success teams, Transform product data, Create compelling customer value narratives, Support renewals, Support account expansion, Engage directly with enterprise administrators, Engage directly with IT leaders, Engage directly with security stakeholders, Validate priorities, Ensure product-market fit, Work cross-functionally with adjacent teams, Create seamless experiences administration, Create seamless experiences identity management, Create seamless experiences security, Create seamless experiences governance, Translate complex business challenges, Translate ambiguous business challenges, Create intuitive product solutions, Create actionable product solutions", "teamCollaboration" : "Cross-functional teams; Engineering teams; Data teams; Sales teams; Customer Success teams; Adjacent product teams; Enterprise administrators; IT leaders; Security stakeholders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Customer Insights; Data products; Analytics; Reporting; Business intelligence; Data models; Data pipelines; AI-native analytics; Insight-driven experiences; Enterprise administration; Governance; Identity management; Security; Compliance; Audit", "domainList" : [ "customer-insights", "data-products", "analytics", "reporting", "business-intelligence", "data-models", "data-pipelines", "ai-native-analytics", "insight-driven-experiences", "enterprise-administration", "governance", "identity-management", "security", "compliance", "audit" ], "domainSpecificKnowledge" : [ "Customer Insights", "Data products", "Analytics", "Reporting", "Business intelligence", "Data models", "Data pipelines", "AI-native analytics", "Insight-driven experiences", "Enterprise administration", "Governance", "Identity management", "Security", "Compliance", "Audit" ], "communicationSkills" : "Stakeholder management; Cross-functional leadership", "innovationCreativity" : "AI-powered insights experiences", "problemSolvingSkills" : "Analytical thinking; Problem-solving abilities; Translate complex challenges; Create actionable solutions", "outcomesObjectives" : "Support customer growth; Support customer retention; Support renewals; Support account expansion; Ensure product-market fit; Deliver measurable outcomes", "qualificationsBasic" : "4+ years product management experience, 2+ years analytics experience, 2+ years reporting experience, 2+ years business intelligence experience, 2+ years data-driven products experience, Define data models experience, Define instrumentation strategies experience, Define key metrics experience, Define reporting frameworks experience, Collaborate with engineering teams, Collaborate with data teams, Understand AI technologies, Convert complex business problems, Deliver measurable outcomes, Partner with customer-facing teams, Support customer success initiatives, Support customer retention initiatives, Support revenue growth initiatives, Analytical thinking, Problem-solving abilities, Comfort in evolving environments, Comfort in ambiguous environments", "qualificationsPreferred" : "Experience building enterprise administration products, Experience building governance products, Experience building identity and access management products, Experience building security products, Experience building compliance products, Experience building audit-related products, Background in business intelligence platforms, Background in analytics tools, Background in data-centric software products, Experience designing customer-facing APIs, Experience delivering customer-facing APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute the product strategy, roadmap, and vision for the Customer Insights domain, ensuring alignment between business objectives and customer needs. Own the end-to-end development of analytics and reporting capabilities, from foundational data models to customer-facing dashboards, reports, audit logs, and APIs. Partner with engineering and data teams to establish scalable data foundations, meaningful usage metrics, and reporting frameworks that support customer growth and retention. Lead the evolution of enterprise-grade audit and governance capabilities, ensuring usability, scalability, and compliance readiness. Drive the development of AI-powered insights experiences, including conversational analytics, proactive recommendations, and intelligent workflows. Collaborate with Sales and Customer Success teams to transform product data into compelling customer value narratives that support renewals and account expansion. Engage directly with enterprise administrators, IT leaders, and security stakeholders to validate priorities and ensure product-market fit. Work cross-functionally with adjacent product teams to create seamless experiences across administration, identity management, security, and governance domains. Translate complex and ambiguous business challenges into intuitive, actionable product solutions. Requirements 4+ years of product management experience, including at least 2 years focused on analytics, reporting, business intelligence, or data-driven products. Strong expertise in data products, with hands-on experience defining data models, instrumentation strategies, key metrics, and reporting frameworks. Ability to collaborate effectively with engineering and data teams on technical topics such as data pipelines, aggregation strategies, data quality, and scalability considerations. Demonstrated understanding of AI technologies and a strong perspective on the future of AI-native analytics and insight-driven experiences. Proven track record of converting complex business problems into successful product solutions that deliver measurable outcomes. Experience partnering with customer-facing teams to support customer success, retention, and revenue growth initiatives. Excellent communication, stakeholder management, and cross-functional leadership skills. Strong analytical thinking, problem-solving abilities, and comfort working in evolving and ambiguous environments. Preferred Qualifications Experience building enterprise administration, governance, identity and access management, security, compliance, or audit-related products. Background in business intelligence platforms, analytics tools, or data-centric software products. Experience designing and delivering customer-facing APIs for analytics, reporting, or data access use cases. Benefits Competitive salary package with a target compensation range of $160,000–$215,000 CAD equivalent, based on experience, location, and qualifications. Performance-based bonus opportunities. Comprehensive health and wellness benefits. Fully remote work environment with flexibility and autonomy. Opportunity to work on innovative AI-powered and data-driven products at enterprise scale. High visibility and ownership within a strategic product area. Collaborative, cross-functional, and mission-driven work culture. Career growth opportunities within a rapidly evolving product organization. Inclusive workplace committed to equal opportunity and providing reasonable accommodations throughout the hiring process and employment lifecycle. ## 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" : "Senior Product Manager, Customer Insights. Skills: Product strategy, Roadmap development, Analytics, Reporting, Data products, AI-powered insights. Define product strategy. Execute product strategy", "postedDate" : "2026-06-15T08:54:19.604", "createdAt" : "2026-06-15T08:54:19.604", "lastUpdated" : "2026-06-16T13:03:47.596", "ingestTimestamp" : "2026-06-16T03:23:34.741", "mongoId" : "6a30511af292fd229cefa48c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Analytics", "Reporting", "Business intelligence", "Data products", "Data models", "Instrumentation strategies", "Key metrics", "Reporting frameworks", "Data pipelines", "Aggregation strategies", "Data quality", "Scalability", "AI technologies", "Conversational analytics", "Proactive recommendations", "Intelligent workflows", "Audit capabilities", "Governance capabilities", "Product strategy", "Roadmap development", "AI-powered insights", "Data modeling", "Scalability considerations", "Product-market fit", "Cross-functional leadership", "Roadmap planning", "Customer Insights", "AI-native analytics", "Insight-driven experiences", "Enterprise administration", "Governance", "Identity management", "Security", "Compliance", "Audit" ], "skillCount" : 35, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30511af292fd229cefa48d", "title" : "Senior Product Manager, Customer Insights", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T14:16:35.966", "fingerprint" : "56e8fa47f44e1c7b8c9c002705dc5ea8b623e0e0632b525829b26b2b7fa2b4b0", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9d2c7764-9446-41ad-b871-65cc97ea5795/apply", "externalId" : "9d2c7764-9446-41ad-b871-65cc97ea5795", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Natural language processing", "professionalSkills" : [ "Roadmap development", "Prioritization", "Data architecture", "Metrics design", "Analytical frameworks", "Stakeholder management", "Cross-functional collaboration", "Product strategy" ], "hardSkillsList" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Instrumentation strategies", "level" : "intermediate" }, { "name" : "Metrics design", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytical frameworks", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" } ], "majorSkills" : "Customer Insights, Data Products, AI-powered insights", "majorSkillsList" : [ "Customer Insights", "Data Products", "AI-powered insights" ], "coreResponsibilities" : "Own Customer Insights product area, Define usage data architecture, Ensure data quality, Ensure data scalability, Align business metrics, Design reporting experiences, Enhance analytics experiences, Design dashboard experiences, Enhance audit logs experiences, Design API experiences, Drive AI-powered insights vision, Implement AI-powered insights, Collaborate with Sales teams, Collaborate with Customer Success teams, Translate insights into narratives, Engage with enterprise stakeholders, Understand stakeholder needs, Validate stakeholder priorities, Ensure solutions meet requirements, Partner with adjacent product teams, Create seamless experiences, Transform business questions, Develop user-centric solutions", "teamCollaboration" : "Cross-functional collaboration; Work with engineering teams; Work with data teams; Partner with adjacent product teams; Collaborate with Sales teams; Collaborate with Customer Success teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization" ], "domainKnowledge" : "Customer retention; Customer growth; Value measurement; Enterprise administrators; AI-native user experiences; Intelligent analytics; Governance requirements; Compliance requirements; Operational requirements; Identity management; Security domains; Compliance domains; Enterprise analytics", "domainList" : [ "customer-retention", "customer-growth", "value-measurement", "enterprise-administrators", "ai-native-user-experiences", "intelligent-analytics", "governance-requirements", "compliance-requirements", "operational-requirements", "identity-management", "security-domains", "compliance-domains", "enterprise-analytics" ], "domainSpecificKnowledge" : [ "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "communicationSkills" : "Stakeholder management; Customer narratives", "innovationCreativity" : "AI-powered insights capabilities", "problemSolvingSkills" : "Transform complex business questions", "outcomesObjectives" : "Support customer renewals; Support expansion opportunities; Meet governance requirements; Meet compliance requirements; Meet operational requirements", "qualificationsBasic" : "4+ years product management experience, 2+ years building analytics/reporting/BI/data products, Expertise in data products, Experience with data modeling, Experience with instrumentation strategies, Experience with metrics design, Experience with data pipelines, Experience with analytical frameworks, Ability to work with engineering teams, Ability to work with data teams, Experience developing AI-enabled products, Proven success translating business needs, Experience partnering with customer-facing teams", "qualificationsPreferred" : "Experience building enterprise administration products, Experience building governance products, Experience building identity management products, Experience building security products, Experience building compliance products, Experience building audit-related products, Background in business intelligence platforms, Background in analytics solutions, Background in data-focused products, Experience designing customer-facing APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the Customer Insights product area end-to-end, including strategy, roadmap development, prioritization, and execution across data foundations and customer-facing experiences. Define and evolve the underlying usage data architecture, ensuring data quality, scalability, and alignment with business metrics that support customer retention, growth, and value measurement. Design and enhance reporting, analytics, dashboards, audit logs, and API experiences that deliver actionable insights to enterprise administrators, executives, and internal teams. Drive the vision and implementation of AI-powered insights capabilities, including natural language interactions, proactive analytics, and intelligent workflows. Collaborate closely with Sales and Customer Success teams to translate product insights into compelling customer narratives that support renewals and expansion opportunities. Engage directly with enterprise stakeholders to understand needs, validate priorities, and ensure solutions meet governance, compliance, and operational requirements. Partner with adjacent product teams to create seamless experiences across administration, identity management, security, and compliance domains. Transform complex and ambiguous business questions into scalable, user-centric product solutions. Requirements 4+ years of product management experience, including at least 2 years building analytics, reporting, business intelligence, or data-driven products for administrative or business users. Strong expertise in data products, including experience with data modeling, instrumentation strategies, metrics design, data pipelines, and analytical frameworks. Demonstrated ability to work effectively with engineering and data teams while balancing technical considerations such as aggregation, data freshness, granularity, and scalability. Experience developing or contributing to AI-enabled products, with a strong understanding of emerging trends in AI-native user experiences and intelligent analytics. Proven success translating complex business needs into intuitive and impactful product experiences. Experience partnering with customer-facing teams to support customer engagement, retention, and growth initiatives. Exceptional communication, stakeholder management, and cross-functional collaboration skills. Ability to thrive in fast-paced environments and navigate ambiguity with confidence. Preferred Qualifications Experience building enterprise administration, governance, identity management, security, compliance, or audit-related products. Background in business intelligence platforms, analytics solutions, or data-focused products. Experience designing customer-facing APIs for analytics, reporting, or data access use cases. Benefits Competitive base salary ranging from $160,000 to $215,000, depending on location, experience, and qualifications. Performance-based bonus opportunities. Comprehensive benefits package. Opportunity to shape the future of enterprise analytics and AI-driven insights. High-impact role with significant ownership and visibility across the organization. Collaborative and cross-functional work environment. Exposure to enterprise-scale products, customers, and strategic initiatives. Inclusive workplace committed to equal opportunity and reasonable accommodations for individuals with disabilities. ## 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" : "Senior Product Manager, Customer Insights. Skills: Customer Insights, Data Products, AI-powered insights. Own Customer Insights product area. Define usage data architecture", "postedDate" : "2026-06-15T08:52:20.464", "createdAt" : "2026-06-15T08:52:20.464", "lastUpdated" : "2026-06-16T14:16:35.966", "ingestTimestamp" : "2026-06-16T03:25:24.529", "mongoId" : "6a30511af292fd229cefa48d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design", "Customer Insights", "Data Products", "AI-powered insights", "Roadmap development", "Prioritization", "Data architecture", "Stakeholder management", "Cross-functional collaboration", "Product strategy", "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30602ef292fd229cf87313", "title" : "Deal Desk Analyst", "company" : "Datadog", "industry" : "SaaS", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Deal Desk Analyst in California, USA, adjusted for a large SaaS company and senior experience level." }, "location" : "California, United States", "locations" : [ "California", "United States", "Oregon", "United States", "Washington", "United States", "San Francisco", "CA", "United States" ], "timestamp" : "2026-06-16T09:55:53.207", "fingerprint" : "cc77043032f6aab3dd05fe6164eafe3a2b5ce7f875050cc619b2e0fca66d0a0f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.datadoghq.com/detail/8003080/?gh_jid=8003080", "externalId" : "8003080", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "hybrid" } ], "locationText" : "California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Sales operations", "Finance", "Sales strategy", "Sales enablement", "Deal structuring", "Quoting", "Negotiations" ], "hardSkillsList" : [ "Revenue recognition principles" ], "softSkillsList" : [ "Problem solver" ], "hardSkills" : [ { "name" : "Revenue recognition principles", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solver" } ], "majorSkills" : "Deal structuring, Quoting, SaaS transactions", "majorSkillsList" : [ "Deal structuring", "Quoting", "SaaS transactions" ], "coreResponsibilities" : "Develop in-depth knowledge of Datadog’s licensing and pricing, Provide deal structuring and quoting support, Be a creative problem solver, Find a way to meet customers’ needs, Adhere to Datadog’s selling policies, Solve customer satisfaction issues, Negotiate deals directly with the customer, Work cross functionally across various stakeholder groups, Function as point of contact for Sales, Function as subject matter expert for Sales, Drive adherence to internal controls, Drive adherence to protocols, Drive adherence to business rules", "teamCollaboration" : "Sales Operations; Billing; Contracts; Legal teams; Global Sales Team; Stakeholder groups; Order management; Revenue; Finance; Product management", "domainKnowledge" : "Datadog’s licensing; Datadog’s pricing models; SaaS transactions", "domainList" : [ "datadog-s-licensing", "datadog-s-pricing-models", "saas-transactions" ], "domainSpecificKnowledge" : [ "Datadog’s licensing", "Datadog’s pricing models", "SaaS transactions" ], "toolProficiency" : [ "MS Word", "Excel", "PowerPoint" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Continuous career development; Pathing opportunities; Product training; Internal mentor; Buddy program", "problemSolvingSkills" : "Creative problem solver; Problem solving", "outcomesObjectives" : "Meet customers’ needs; Adhere to Datadog’s selling policies; Solve customer satisfaction issues", "qualificationsBasic" : "4 years of overall experience, 2 years of experience with deal structuring/quoting complex SaaS transactions, Working knowledge of revenue recognition principles, Comfortable representing the company to customers in negotiations, Resolving customer satisfaction issues, Attention to detail, Ability to multi-task, Communication skills, Ability to work in fast paced, high pressure environment, Quantitative skills, MS Word, Excel and PowerPoint skills", "qualificationsPreferred" : "Experience with Salesforce, Experience with CPQ", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "G&A at Datadog rapidly scales the physical space, hiring, onboarding, and financial and legal systems to keep our business running in top form. As a Deal Desk Analyst, you will work cross-functionally with our Sales Operations, Billing, Contracts and Legal teams to provide quoting and deal structuring support to the Global Sales Team. This will be a growth position as Datadog’s business continues to expand. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop in-depth knowledge of Datadog’s licensing and pricing models to provide deal structuring and quoting support to our global sales teams Be a creative problem solver who finds a way to meet customers’ needs while adhering to Datadog’s selling policies Solve customer satisfaction issues following execution of the deal Actively negotiate deals directly with the customer as needed Work cross functionally across various stakeholder groups including legal, contracts, sales operations, order management, revenue, finance and product management Function as point of contact and subject matter expert for Sales on deal pricing matters Drive adherence to internal controls, protocols and business rules Who You Are: At least 4 years of overall experience including related processes such as sales operations, finance, sales strategy, and sales enablement At least 2 years of experience with deal structuring/quoting complex SaaS transactions for a fast-growing multi-national company Working knowledge of revenue recognition principles Must be comfortable representing the company to customers in negotiations and resolving customer satisfaction issues Strong attention to detail Ability to multi-task Strong communication skills Ability to work in fast paced, high pressure environment Strong quantitative skills Strong MS Word, Excel and PowerPoint skills Bonus Points: Experience with Salesforce and CPQ Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Product training to develop an in-depth understanding of our product and space Best in breed onboarding Internal mentor and buddy program cross-departmentally Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $68,000—$100,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.", "summaryDescription" : "Deal Desk Analyst at Datadog. Skills: Deal structuring, Quoting, SaaS transactions. Develop in-depth knowledge of Datadog’s licensing and pricing. Provide deal structuring and quoting support", "postedDate" : "2026-06-15T23:23:47.149", "createdAt" : "2026-06-15T23:23:47.149", "lastUpdated" : "2026-06-16T09:55:53.207", "ingestTimestamp" : "2026-06-15T23:23:47.149", "mongoId" : "6a30602ef292fd229cf87313", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Revenue recognition principles", "Problem solver", "Deal structuring", "Quoting", "SaaS transactions", "Sales operations", "Finance", "Sales strategy", "Sales enablement", "Negotiations", "Datadog’s licensing", "Datadog’s pricing models", "MS Word", "Excel", "PowerPoint" ], "skillCount" : 15, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8670f0b99d5843fb04", "title" : "Data Engineer, Prime Video Core Analytics and Tooling", "company" : "Amazon Digital UK Limited", "industry" : "Business Intelligence, Data Engineering, entertainment", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in London, UK, with adjustments for company size and industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T01:50:26.733", "fingerprint" : "c8a853ba055e35e266c0d4278d880704e2f69393c61470d1f29bb5c0eb44ec3d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139902/apply", "externalId" : "e532c949-f443-468a-a6ec-4f5f9ae6b406", "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", "technicalSkills" : "Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR, AWS, Redshift, S3, AWS Glue, Kinesis, FireHose, Lambda, IAM", "professionalSkills" : [ "Data warehousing", "Data modeling", "ETL pipelines", "Distributed systems", "Software engineering", "Data quality", "Infrastructure as code" ], "hardSkillsList" : [ "Big data processing", "Data modeling", "Data warehousing", "ETL pipeline development", "Infrastructure as code" ], "hardSkills" : [ { "name" : "Big data processing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL pipeline development", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Big data, AWS, ETL", "majorSkillsList" : [ "Data engineering", "Big data", "AWS", "ETL" ], "coreResponsibilities" : "Solve data warehousing problems on a massive scale, Apply cloud-based AWS services, Build infrastructure as a code, Focus on automation and optimization for DW/ETL maintenance, Work closely with global business partners and technical, Deliver data products that underpin Prime Video strategic, Develop efficient systems and tools to process data", "teamCollaboration" : "Global business partners; Technical teams", "domainKnowledge" : "Relational data; Cloud data platform", "domainList" : [ "relational-data", "cloud-data-platform" ], "domainSpecificKnowledge" : [ "Relational data", "Cloud data platform" ], "innovationCreativity" : "Innovating on behalf of our customers", "problemSolvingSkills" : "Creative problem solving", "qualificationsBasic" : "Experience in at least one modern scripting or programming language, Experience with big data technologies, Experience building/operating highly available, distributed systems, Experience with data modeling, warehousing and building ETL pipelines, Knowledge of distributed systems, Knowledge of professional software engineering & best practices, Experience as a Data Engineer or in a similar role, Experience with SQL", "qualificationsPreferred" : "Experience with AWS technologies, Experience working on and delivering end to end projects independently", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. The team owns a global data platform that powers analytics and data science within Prime Video. Building on AWS cloud technology and processing some eye-watering volumes of relational data, our team is passionate about the security, latency and usability of our products. Abstracting complexity from the analytics community, so they can more rapidly innovate on behalf of our customers. Key job responsibilities You'll solve data warehousing problems on a massive scale and apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, self-service data access, automated data quality detection and building infrastructure as a code. You'll be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment. You'll work closely with global business partners and technical teams on many non-standard and unique business problems and use creative problem solving to deliver data products that underpin Prime Video strategic decision making, from content selection to on-platform customer experience. You'll develop efficient systems and tools to process data, using technologies than can scale to seasonal spikes and easily accommodate future growth. Your work will have a direct impact on the day-to-day decision making across Prime Video. Basic Qualifications: - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience with data modeling, warehousing and building ETL pipelines - Knowledge of distributed systems as it pertains to data storage and computing - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Experience as a Data Engineer or in a similar role - Experience with SQL Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience working on and delivering end to end projects independently 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" : "Data Engineer, Prime Video Core Analytics and Tooling at Amazon Digital UK Limited. Skills: Data engineering, Big data, AWS, ETL. Solve data warehousing problems on a massive scale. Apply cloud-based AWS services", "postedDate" : "2026-06-13T06:36:11.571", "createdAt" : "2026-06-13T06:36:11.571", "lastUpdated" : "2026-06-15T01:50:26.733", "ingestTimestamp" : "2026-06-13T06:36:11.571", "mongoId" : "693c2b8670f0b99d5843fb04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139902/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Big data processing", "Data modeling", "Data warehousing", "ETL pipeline development", "Infrastructure as code", "Data engineering", "Big data", "AWS", "ETL", "ETL pipelines", "Distributed systems", "Software engineering", "Data quality", "Relational data", "Cloud data platform" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305649f292fd229cf26d8e", "title" : "Sr. Software Development Engineer, AWS Insights & Optimizations", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 184900.0, "max" : 250200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T05:20:48.590", "fingerprint" : "e876707eae647c0e8e178c2577fcbc3b37e02708a1180e07ba0a1c0a8c1b8a53", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448913/apply", "externalId" : "968f842b-6242-4e72-b205-c9c9aac75e29", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The AWS Analytics and Machine Learning team, within AWS Billing and Cost Management, is seeking an experienced software engineer lead to join a team working to help AWS customers plan and monitor their cloud costs. Our product has high visibility and is an essential resource for AWS customers of all sizes. Providing a scalable platform to support AWS’ expanding business is a complex architectural challenge, and accurate cost and usage information is a critical piece. Enterprise-level customers make large dollar-value decisions based on the timeliness, accuracy, and detail of the data provided by our products. You will be the technical lead, taking on architectural challenges in processing billions of usage records and providing intelligent products to help customers understand, control, and estimate their costs. You will be empowered to think big, invent on behalf of our customers, make judgment calls and find elegant solutions to hard problems. Key job responsibilities - Tackle complex problems such as processing large volumes of data at low latency and cost. - Deliver projects that delight our customers - Lead by example your team, establishing high standards coding and operational practices. - Coach and support a team of software developers with a wide mix of backgrounds and strengths - Participate in interviews for other teams in the organization. - Work with extraordinary teams delivering demanding projects. - Collaborate with other teams and organizations to simplify solutions and deliver results to our customers. A day in the life On our team, you will spend your time tackling the hardest problems in the space. You will work with your manager and other technical leaders to define and kick-off long-term strategies, setting up your team for success. You collaborate with Data Scientists to improve customer experience and enabling new features through analytics and machine learning. About the team We are a collaborative, highly-motivated group within AWS Insights & Organizations. We are entrepreneurial with a high degree of ownership and a commitment to experiment and innovate. We encourage diversity of opinion and welcome dissent with respect and thoughtful debate as we search for the best solutions - and we'd love to hear yours. This is an opportunity to think about big problems that impact millions of our AWS customers and solve them with our collective ingenuity, all while engaging various teams across our broader org. You will join a team at the center of AWS cost management — the services that every customer interacts with when they set budgets, receive anomaly alerts, or forecast their AWS spend. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience 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, NY, New York - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, AWS Insights & Optimizations at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:56:38.389", "lastUpdated" : "2026-06-16T05:20:48.590", "ingestTimestamp" : "2026-06-15T21:56:38.389", "mongoId" : "6a305649f292fd229cf26d8e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448913/apply", "salaryAnnualMin" : 184900, "salaryAnnualMax" : 250200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30531ff292fd229cf112f5", "title" : "Sr Tooling & Molding Engineer", "company" : "Mattel", "industry" : "Retail", "salary" : { "min" : 350000.0, "max" : 600000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Tooling & Molding Engineer in Dongguan, China, adjusted for industry and company size." }, "location" : "Dongguan, Guangdong, CN", "locations" : [ "Dongguan", "Guangdong", "CN" ], "timestamp" : "2026-06-16T07:09:38.450", "fingerprint" : "af902041d97c406e2a9b8f1b3eebadc2377bc8c822ed652f148564342dcf9797", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MattelInc/744000131843372-sr-tooling-molding-engineer", "externalId" : "744000131843372", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dongguan", "state" : "Guangdong", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "23.0183568,113.7452332" } ], "locationText" : "Dongguan, Guangdong, China", "employmentType" : "FULL_TIME", "minimumEducation" : "University degree", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Auto CAD, Pro-e, MS Office", "professionalSkills" : [ "Mold debug", "Molding process", "Color formulation", "Product debug", "Tool debug", "Technical process improvement", "Mold maintenance" ], "hardSkillsList" : [ "Mold release", "Injection molding" ], "hardSkills" : [ { "name" : "Mold release", "level" : "intermediate" }, { "name" : "Injection molding", "level" : "intermediate" } ], "majorSkills" : "Mold debug, Molding process", "majorSkillsList" : [ "Mold debug", "Molding process" ], "coreResponsibilities" : "Debug molds, Test molds, Evaluate molding material, Evaluate molding process, Evaluate mold color formulation, Debug products with project engineer, Debug tools with project engineer, Improve technical process, Increase work efficiency, Maintain mold design, Maintain mold database", "teamCollaboration" : "Work with project engineer", "domainKnowledge" : "Injection molding; Mold design", "domainList" : [ "injection-molding", "mold-design" ], "domainSpecificKnowledge" : [ "Injection molding", "Mold design" ], "toolProficiency" : [ "Auto CAD", "Pro-e", "MS Office" ], "communicationSkills" : "English writing; English reading", "documentationSkills" : "Mold design documentation", "problemSolvingSkills" : "Mold debug; Tool debug", "outcomesObjectives" : "Yield higher efficiency", "qualificationsBasic" : "University degree or above, 2+ years of related experience, Proficiency in Auto CAD, Proficiency in Pro-e, Proficiency in MS Office, Good English writing, Good English reading", "qualificationsPreferred" : "Mold designing major preferred, Familiar with plastic processing character, Experience leading mold development team", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Mattel China Toys Mfg 岗位职责： 1、Mold debug放模与试模； 2、Evaluate molding Mat’1, process, and mold color formulation评估注塑成型工艺和颜色; 3、Work with project engineer to do product debug and tool debug与项目工程师一起进行产品调试和工具调试; 4、Continuous to improve technical process to yield higher efficiency. 不断改进工艺以提高工作效益； 5、Mold maintenance维护模具设计和资料库。 ## Qualifications 任职资格： 1、University degree or above, mold designing major is preferred大专或以上学历，机械制造、模具等相关专业； 2、2+years of related experience with rich knowledge in mold release and debug, familiar with processing character of plastic 具有2年以上相关工作经验，熟悉注塑成型及注塑模具的开发过程，具有丰富的注塑冲压知识; 3、Proficiency in using Auto CAD, Pro-e and MS Office software熟练使用Auto CAD、Pro-e和MS Office软件; 4、Good English in writing and reading良好的英语读写能力； 5、Experience in leading a mold development team are preferred有过模具开发团队管理经验者优先。", "summaryDescription" : "Sr Tooling & Molding Engineer at Mattel. Skills: Mold debug, Molding process. Debug molds. Test molds", "postedDate" : "2026-06-12T08:42:15.000", "createdAt" : "2026-06-15T21:51:30.213", "lastUpdated" : "2026-06-16T07:09:38.450", "ingestTimestamp" : "2026-06-15T21:51:30.213", "mongoId" : "6a30531ff292fd229cf112f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mold release", "Injection molding", "Mold debug", "Molding process", "Color formulation", "Product debug", "Tool debug", "Technical process improvement", "Mold maintenance", "Mold design", "Auto CAD", "Pro-e", "MS Office" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f40f292fd229cee659e", "title" : "Sr Tooling & Molding Engineer", "company" : "Mattel", "industry" : "Retail", "salary" : { "min" : 350000.0, "max" : 600000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Tooling & Molding Engineer in Dongguan, China, adjusted for industry and company size." }, "location" : "Dongguan, Guangdong, CN", "locations" : [ "Dongguan", "Guangdong", "CN" ], "timestamp" : "2026-06-16T05:52:09.401", "fingerprint" : "2a8437fa1d34329fe47d80527dd97312733076e1b84bc8d35a8b770220001ec7", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MattelInc/744000131843372-sr-tooling-molding-engineer", "externalId" : "744000131843372", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dongguan", "state" : "Guangdong", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "23.0183568,113.7452332" } ], "locationText" : "Dongguan, Guangdong, China", "employmentType" : "FULL_TIME", "minimumEducation" : "University degree", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Auto CAD, Pro-e, MS Office", "professionalSkills" : [ "Mold debug", "Molding process", "Color formulation", "Product debug", "Tool debug", "Technical process improvement", "Mold maintenance" ], "hardSkillsList" : [ "Mold release", "Injection molding" ], "hardSkills" : [ { "name" : "Mold release", "level" : "intermediate" }, { "name" : "Injection molding", "level" : "intermediate" } ], "majorSkills" : "Mold debug, Molding process", "majorSkillsList" : [ "Mold debug", "Molding process" ], "coreResponsibilities" : "Debug molds, Test molds, Evaluate molding material, Evaluate molding process, Evaluate mold color formulation, Debug products with project engineer, Debug tools with project engineer, Improve technical process, Increase work efficiency, Maintain mold design, Maintain mold database", "teamCollaboration" : "Work with project engineer", "domainKnowledge" : "Injection molding; Mold design", "domainList" : [ "injection-molding", "mold-design" ], "domainSpecificKnowledge" : [ "Injection molding", "Mold design" ], "toolProficiency" : [ "Auto CAD", "Pro-e", "MS Office" ], "communicationSkills" : "English writing; English reading", "documentationSkills" : "Mold design documentation", "problemSolvingSkills" : "Mold debug; Tool debug", "outcomesObjectives" : "Yield higher efficiency", "qualificationsBasic" : "University degree or above, 2+ years of related experience, Proficiency in Auto CAD, Proficiency in Pro-e, Proficiency in MS Office, Good English writing, Good English reading", "qualificationsPreferred" : "Mold designing major preferred, Familiar with plastic processing character, Experience leading mold development team", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Mattel China Toys Mfg 岗位职责： 1、Mold debug放模与试模； 2、Evaluate molding Mat’1, process, and mold color formulation评估注塑成型工艺和颜色; 3、Work with project engineer to do product debug and tool debug与项目工程师一起进行产品调试和工具调试; 4、Continuous to improve technical process to yield higher efficiency. 不断改进工艺以提高工作效益； 5、Mold maintenance维护模具设计和资料库。 ## Qualifications 任职资格： 1、University degree or above, mold designing major is preferred大专或以上学历，机械制造、模具等相关专业； 2、2+years of related experience with rich knowledge in mold release and debug, familiar with processing character of plastic 具有2年以上相关工作经验，熟悉注塑成型及注塑模具的开发过程，具有丰富的注塑冲压知识; 3、Proficiency in using Auto CAD, Pro-e and MS Office software熟练使用Auto CAD、Pro-e和MS Office软件; 4、Good English in writing and reading良好的英语读写能力； 5、Experience in leading a mold development team are preferred有过模具开发团队管理经验者优先。", "summaryDescription" : "Sr Tooling & Molding Engineer at Mattel. Skills: Mold debug, Molding process. Debug molds. Test molds", "postedDate" : "2026-06-12T08:42:15.000", "createdAt" : "2026-06-15T21:32:46.048", "lastUpdated" : "2026-06-16T05:52:09.401", "ingestTimestamp" : "2026-06-15T21:32:46.048", "mongoId" : "6a304f40f292fd229cee659e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mold release", "Injection molding", "Mold debug", "Molding process", "Color formulation", "Product debug", "Tool debug", "Technical process improvement", "Mold maintenance", "Mold design", "Auto CAD", "Pro-e", "MS Office" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", 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"https://jobs.ashbyhq.com/skyscanner/aa141487-e9b4-43cc-8667-1eab29c0404d/application", "externalId" : "aa141487-e9b4-43cc-8667-1eab29c0404d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data pipelines", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control" ], "hardSkillsList" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Analytics enablement", "level" : "intermediate" }, { "name" : "Data engineering automation", "level" : "intermediate" }, { "name" : "Scalable data delivery", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Operating model definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, Decision Tooling, Product Management", "majorSkillsList" : [ "Data Platform", "Decision Tooling", "Product Management" ], "coreResponsibilities" : "Own a trusted data platform, Lead platform reliability, Lead platform usability, Lead platform governance, Lead platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Power production-ready ML, Enable AI-assisted self-serve analytics, Build for agentic data engineering, Shape AI and automation for data engineering, Scale data delivery, Strengthen data movement, Strengthen data transformation, Strengthen data maintenance, Strengthen data serving, Make quality visible, Turn data quality into capability, Shape the operating model, Define interfaces between teams, Connect technical investment to outcomes, Drive experimentation velocity, Drive personalisation, Drive revenue impact, Drive cost control, Drive better product decisions", "teamCollaboration" : "Cross-functional teams; Product engineering teams; Analytics teams; Data science teams; Business teams; AI platform teams; Data platform teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Data platform; Decision tooling; Machine learning; AI; Data quality; Data governance; Data engineering; Travel industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data platform", "Decision tooling", "Machine learning", "AI", "Data quality", "Data governance", "Data engineering", "Travel industry" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, Decision Tooling, Product Management. Own a trusted data platform. Lead platform reliability", "createdAt" : "2026-06-14T03:15:33.760", "lastUpdated" : "2026-06-15T08:00:16.022", "ingestTimestamp" : "2026-06-14T03:15:33.760", "mongoId" : "6a2cafed74d8ee00a09d83d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition", "Leadership", "Data Platform", "Decision Tooling", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Roadmap planning", "Data platform", "Decision tooling", "AI", "Data engineering", "Travel industry" ], "skillCount" : 42, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a5b74d8ee00a090b771", "title" : "Senior Development Tooling Engineer", "company" : "Adyen", "industry" : "FinTech", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Development Tooling Engineer in Amsterdam, Netherlands, adjusted for the FinTech industry and Adyen's company profile." }, "location" : "Amsterdam", "locations" : [ "Amsterdam" ], "timestamp" : "2026-06-15T23:14:42.597", "fingerprint" : "e9c99cb280b03995eea2e21df0d8665264f4b4cf79a307ece8d061b1ef2722fa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/adyen/jobs/7835921", "externalId" : "7835921", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H we do not offer remote-only roles.", "summaryDescription" : "Senior Development Tooling Engineer at Adyen", "postedDate" : "2026-06-14T18:57:05.518", "createdAt" : "2026-06-14T18:57:05.518", "lastUpdated" : "2026-06-15T23:14:42.597", "ingestTimestamp" : "2026-06-14T18:57:05.518", "mongoId" : "6a2c6a5b74d8ee00a090b771", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306002f292fd229cf84369", "title" : "Sr. Manager, Statistical Programming and Data Operations", "company" : "Kyowa Kirin North America", "industry" : "Pharma", "salary" : { "min" : 145000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Princeton, New Jersey, United States", "locations" : [ "Princeton", "New Jersey", "United States" ], "timestamp" : "2026-06-16T08:50:44.103", "fingerprint" : "49d9cfec2d36afaf4e7072ec9fd00eb8eee6a4c344e64335be311f83397963b8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/kyowakirinusa90/jobs/7773426003", "externalId" : "7773426003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Princeton", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.3496953,-74.6597376" }, { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Princeton, New Jersey, United States; San Diego, California, United States; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SAS, R, Microsoft Office", "professionalSkills" : [ "Vendor oversight", "Project management", "Data standards" ], "hardSkillsList" : [ "Statistical programming", "CDISC compliant submission", "Regulatory documents" ], "hardSkills" : [ { "name" : "Statistical programming", "level" : "intermediate" }, { "name" : "CDISC compliant submission", "level" : "intermediate" }, { "name" : "Regulatory documents", "level" : "intermediate" } ], "majorSkills" : "Statistical programming, CDISC standards, Vendor management", "majorSkillsList" : [ "Statistical programming", "CDISC standards", "Vendor management" ], "coreResponsibilities" : "Develop TLF shells, Develop CDISC deliverables, Develop TLFs, Participate in vendor selection, Oversee vendor processes, Review Requests for Proposal, Track stat/programming activities, Manage project budget, Manage timeline of deliverables, Ensure statistical deliverables meet timelines, Oversee statistical programming tasks, Manage stat/programming TMFs, Act as subject matter expert, Interface with in-house staff, Participate on project team, Manage cost of activities, Manage timeline of activities, Review protocols, Review case report forms, Review statistical analysis plans, Review specifications for raw data, Review clinical study reports, Review study-related documents, Provide statistical programming input, Prepare CDISC data submission package, Prepare SAS programming for regulatory documents, Provide statistical programming for publications, Provide statistical programming for presentations, Provide ad-hoc analyses, Provide post-hoc analyses, Conduct programming QC reviews, Support departmental initiatives, Improve programming activities, Coordinate with Japanese colleagues, Liaise regarding global procedures, Liaise regarding global processes, Liaise regarding global standards", "teamCollaboration" : "Cross-regional staffs; Project team; Japanese colleagues", "projectManagementSkills" : [ "Timeline management", "Budget management" ], "domainKnowledge" : "Clinical trials; Drug development; ICH guidelines; Regulatory guidance; Life sciences industry; Biostatistics; CDISC standards", "domainList" : [ "clinical-trials", "drug-development", "ich-guidelines", "regulatory-guidance", "life-sciences-industry", "biostatistics", "cdisc-standards" ], "domainSpecificKnowledge" : [ "Clinical trials", "Drug development", "ICH guidelines", "Regulatory guidance", "Life sciences industry", "Biostatistics", "CDISC standards" ], "toolProficiency" : [ "SAS", "Microsoft Office" ], "documentationSkills" : "TLF shells; CDISC datasets; Regulatory documents", "specialRequirements" : "FDA inspections", "qualificationsBasic" : "Bachelor's Degree or higher in Computer Science, Statistics, or related discipline, Six or more years of experience with a Master's degree, Eight or more years of experience with a Bachelor's degree, Proven experience in statistical programming for clinical trials, Experience in study oversight of statistical analysis for clinical trials, Demonstrated expertise in CDISC standards, Excellent proficiency in SAS", "qualificationsPreferred" : "Experience in data integration for ISS/ISE, Experience using SAS-LSAF, Advance skill in R", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease. A Japan-based company, our goal is to translate science into smiles by delivering therapies where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, North Carolina, and Mississauga, Ontario. Summary: Manager, Statistical Programming and Data Operations (SPDO) in Biostatistics is responsible for vendor oversight and management to deliver the high-quality tables, listings, and figures (TLFs), as well as CDISC datasets for clinical trials and integrated statistical analysis intended for regulatory submissions, interfacing with cross-regional staffs in establishing and maintaining global data standards and department procedures. Essential Functions: Vendor Oversight and Management • Responsible for developing TLF shells, CDISC deliverables, and TLFs in collaboration with stat/programming vendors. • Participate in vendor selection/oversight processes: Create and/or review Requests for Proposal (RFP); track the progress of stat/programming activities and the project budget for stat/programming vendor; and manage the timeline of stat/programming deliverables. • Collaborate with stat/programming vendors to ensure all statistical deliverables from the vendor meet timelines with quality. Oversee all aspects of statistical programming tasks performed by the vendor. • Manage the stat/programming related TMFs in collaboration with stat/programming vendors and act as a subject matter expert at FDA inspections. Internal Collaboration • Interface with in-house staff: Participate on project team meetings; and manage the cost and timeline of stat/programming activities in collaboration with each project manager. • Review protocols, case report forms, statistical analysis plans, specifications for raw data, clinical study reports, and the other study-related documents. • Collaborate with biostatistician to provide statistical programming input on project topics and issues. Statistical Programming • Responsible for preparation of CDISC data submission package and SAS programming for regulatory documents (e. g. Response to information requests from HA; Integrated summaries; BIMO; and DSUR). • Provide statistical programming for publications and presentations, ad-hoc and post-hoc analyses of clinical study data. • Conduct programming QC reviews of vendor deliverables in accordance with internal guidelines and work instructions. • Support departmental initiatives related to process building/improvement of programming activities. • Coordinate and liaise with our Japanese colleagues, as needed, regarding global procedures, processes, and standards. Requirements: Education Bachelor’s Degree or higher in Computer Science, Statistics, or closely related discipline. Experience • Proven experience in statistical programming for clinical trials in the life sciences industry: six or more years with a Master’s degree, or eight or more years with a Bachelor’s degree. • Experience in study oversight of statistical analysis for clinical trials in the life science industry • Demonstrated expertise in CDISC standards and CDISC compliant submission requirements. • Experience in data integration for ISS/ISE across multiple studies for regulatory submissions (preferred) • Experience in using SAS-LSAF (i. e. Life Science Analytics Framework), including its repository and programming environment (preferred) Technical Skills • Excellent proficiency in SAS (required); Advance skill in R (preferred). • Highly skilled in Microsoft Office applications (Word, PowerPoint, Excel, Outlook). • Familiarity with ICH guidelines (especially E9) and other regulatory guidance. • Solid understanding of development, regulatory and commercial aspects of drug development. The anticipated salary for this position will be $145,000 to $160,000. The actual salary offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs. The listed salary is just one component of the overall compensation package. At Kyowa Kirin North America we provide a comprehensive range of benefits including: 401K with company match Annual Bonus Program (Sales Bonus for Sales Jobs) Generous PTO and Holiday Schedule which includes Summer and Winter Shut-Downs, Sick Days and, Volunteer Days Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision) HSA Kyowa Kirin is not responsible for any fees related to unsolicited resumes. #Hybrid #Princeton", "summaryDescription" : "Sr. Manager, Statistical Programming and Data Operations at Kyowa Kirin North America. Skills: Statistical programming, CDISC standards, Vendor management. Develop TLF shells. Develop CDISC deliverables", "postedDate" : "2026-06-15T23:25:02.678", "createdAt" : "2026-06-15T23:25:02.678", "lastUpdated" : "2026-06-16T08:50:44.103", "ingestTimestamp" : "2026-06-15T23:25:02.678", "mongoId" : "6a306002f292fd229cf84369", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical programming", "CDISC compliant submission", "Regulatory documents", "CDISC standards", "Vendor management", "Vendor oversight", "Project management", "Data standards", "Timeline management", "Budget management", "Clinical trials", "Drug development", "ICH guidelines", "Regulatory guidance", "Life sciences industry", "Biostatistics", "SAS", "Microsoft Office" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c91dd74d8ee00a0984371", "title" : "Sr. Data Engineer", "company" : "LogicMonitor", "industry" : "SaaS", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Engineer in Pune, India, adjusted for the technology industry and company size." }, "location" : "Pune, Maharashtra, India", "locations" : [ "Pune", "Maharashtra", "India" ], "timestamp" : "2026-06-15T08:34:40.503", "fingerprint" : "bb04226f95be57b3fd45824f6071bc652c45d5f04431b608eb071e3b6458b7f8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.logicmonitor.com/career/?gh_jid=7929699", "externalId" : "7929699", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Airflow, Snowflake, Dbt cloud", "professionalSkills" : [ "Data warehousing", "Data modelling", "Data pipelines", "Data transformation", "Data integration", "Data architecture", "Database performance" ], "hardSkillsList" : [ "Data engineering", "Data pipelines", "Data models", "Data processing", "Data transformation", "Data cleaning", "Data organization", "Data architecture", "Database optimization", "Query optimization" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data organization", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Database optimization", "level" : "intermediate" }, { "name" : "Query optimization", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data pipelines, Data warehousing", "majorSkillsList" : [ "Data engineering", "Data pipelines", "Data warehousing" ], "coreResponsibilities" : "Build data pipelines, Maintain data pipelines, Process data, Empower analytics, Optimize pipelines, Optimize dashboards, Optimize frameworks, Optimize systems, Develop data products, Transform raw data, Clean data, Organize data, Actionable data formats, Troubleshoot data transformation, Troubleshoot data integration, Drive data compute infrastructure, Manage data compute infrastructure, Optimize data compute infrastructure, Drive data storage infrastructure, Manage data storage infrastructure, Optimize data storage infrastructure, Lead data security tasks, Create data architecture artifacts, Maintain data architecture artifacts", "teamCollaboration" : "Work with stakeholders; Support data consumers", "domainKnowledge" : "Hybrid observability; Digital infrastructure; On-premises environments; Cloud environments; Edge environments; IT infrastructure management", "domainList" : [ "hybrid-observability", "digital-infrastructure", "on-premises-environments", "cloud-environments", "edge-environments", "it-infrastructure-management" ], "domainSpecificKnowledge" : [ "Hybrid observability", "Digital infrastructure", "On-premises environments", "Cloud environments", "Edge environments", "IT infrastructure management" ], "toolProficiency" : [ "Airflow", "Snowflake", "Dbt cloud" ], "documentationSkills" : "Data architecture artifacts", "problemSolvingSkills" : "Troubleshoot data transformation; Troubleshoot data integration", "qualificationsBasic" : "4+ years Data Engineering experience, 2+ years Airflow experience, 2+ years Snowflake experience, 2+ years dbt cloud experience, Bachelor's degree technical field, Expert SQL proficiency, Expert Python proficiency, Optimize database/query performance", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us: We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This position is located in Pune. You'll be working in a major tech center of Pune, India. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best. To learn more about life at LogicMonitor, check out our Careers Page. What You'll Do: LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! The Senior Data Engineer is part of the Data Management and Business Intelligence team and is responsible for making big data actionable by implementation and ongoing maintenance of LogicMonitor data warehouse and reporting tools. You will design, build, and oversee the deployment and operation of the technology used to manage, store, and utilize data from internal and external sources. The role will assists with user interface and business applications design and work with stakeholders to ensure database specifications, tables, and element attributes are accessible as required. You'll be responsible for designing, developing, and maintaining data solutions to support our broad profile of enthusiastic data consumers. You'll work closely with stakeholders across different departments to understand their data needs and develop technical data solutions such as new data pipelines, models, and transformations. Here's a closer look at this key role: Build and maintain data pipelines for processing data and empowering analytics at scale, utilizing Airflow and Snowflake Optimize pipelines, dashboards, frameworks, and systems to facilitate development of data products Transform raw data into cleaned, organized and actionable formats Troubleshoot data transformation and integration issues Drive design, management, and optimization of our data compute and storage infrastructure Lead the analysis and resolution of data security tasksCreate and maintain data architecture artifacts What You'll Need: 4+ years experience in a Data Engineering role, with a focus on building data pipelines and models. 2+ years experience with Airflow, Snowflake, dbt cloud Bachelor's degree in a technical or quantitative field (e. g. Math, Statistics, Computer Science, Data Science) or equivalent experience Expert proficiency in SQL, Python Experience optimizing database/query performance Proven track record of having implemented, enhanced and supported data warehouse systems and reporting tools Ability to work autonomously and lead medium to high complexity projects Preferred, not required Domain analytical experience with Financial, Customer Success, or Human Resources data MLOps or AIOps Experience using FiveTran, Looker, PowerBI Click here to read our International Applicant Privacy Notice. LogicMonitor is an Equal Opportunity Employer At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best. For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Notice Regarding Use of AI in Hiring We use artificial intelligence tools to assist with reviewing job applications, such as matching skills and experience to job requirements. These tools support, but do not replace, human review. All hiring decisions are made by our recruiting and hiring teams. You may opt out of AI processing at any time, and your application will still be reviewed. To opt out, please contact us at opt.out@logicmonitor.com. By submitting your application, you acknowledge this notice. Our goal is to ensure an accessible and inclusive experience for every candidate. If you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form. Know your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U. S. Pay Transparency Nondiscrimination Provision.", "summaryDescription" : "Sr. Data Engineer at LogicMonitor. Skills: Data engineering, Data pipelines, Data warehousing. Build data pipelines. 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Remote Sr Data Engineer Deal Tooling And Insights Strategic Customer Engagements Jobs

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Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements

Sr. Product Manager Technical, Deal Tooling & Insights, Strategic Customer Engagements

Strategic Customer Engagements, Deal Team - Specialized, SCE

Strategic Customer Engagements, Deal Team

Strategic Customer Engagements, Deal Team - Specialized

Strategic Customer Engagements, GTM Deal Lead, GDSP

Strategic Customer Engagements, GTM Deal Lead, GDSP

Strategic Customer Engagements, GCR

SCE Deal Lead, Strategic Customer Engagements Public Sector

Software Engineer, Customer Insights

Software Engineer - Customer Insights

Director, Strategic Deal Finance

Product & Strategic Insights Lead

Sr Manager, Distribution Insights and Analytics

Sr Manager, Distribution Insights and Analytics

Sr. Deal Desk Analyst

Sr. Manager, Customer Performance & Insights

Solution Architect – Customer Engagements (Strategic Accounts)

Senior Manager, Strategic Finance- Insights and Analytics

Senior Manager, Strategic Finance- Insights and Analytics

Evidence and Insights Manager

Director, Insights and Analytics

Senior Manager, Strategic Finance- Insights and Analytics

Strategy and Insights Manager, Large Customer Sales

Enterprise Architect, Strategic Customer Engagements, Enterprise Architecture, SCE

Data Engineer, WW Promotions Data and Insights

Director of Product - Data Platform and Decision Tooling

Sr. Engineer - Data Security

Sr. Engineer - Data Security

Strategic Analytics & Insights Business Partner (FMCG)

Strategic Analytics & Insights Business Partner (FMCG)

Sr Mechanical Engineer - GSE Tooling

Retail Data & Consumer Insights Intern

Manager Assurance Data & Analytics AI Tooling

Deal Pricing and Monetization Principal, Security

Director of Engagements

Sr. Manager, Global Deal Desk

Sr. Deal Desk Analyst

Senior Product Manager, Customer Insights

Senior Product Manager, Customer Insights

Deal Desk Analyst

Data Engineer, Prime Video Core Analytics and Tooling

Sr. Software Development Engineer, AWS Insights & Optimizations

Sr Tooling & Molding Engineer

Sr Tooling & Molding Engineer

Senior Data and Analytics Engineer

Director of Product - Data Platform and Decision Tooling

Senior Development Tooling Engineer

Sr. Manager, Statistical Programming and Data Operations

Sr. Data Engineer

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