{ "count" : 20323, "data" : [ { "id" : "6a2c968e74d8ee00a098fed6", "title" : "Global Formula Governance Manager", "company" : "Monster Energy", "salary" : { "min" : 88000.0, "max" : 113000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corona, California, United States", "locations" : [ "Corona", "California", "United States" ], "timestamp" : "2026-06-16T06:21:26.781", "fingerprint" : "c3eb6ba2a47f0a62856d109c77d21ba8297ff7bdd7e6346e4c3b3df7cf97beab", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monsterenergy/jobs/4217314009", "externalId" : "4217314009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Corona", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.8752945,-117.5664440" } ], "locationText" : "Corona, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "rawDescription" : "About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Formula Governance Manager, you will oversee all regulatory and brand specifications for raw materials and formulas, partnering with Regulatory and Quality Assurance (QA) to define requirements for new projects within the formula-development pipeline and ensure that specifications are developed and maintained in SAP- Product Lifecycle Management (SAP-PLM) to ensure accurate, consistent, and efficient issuance. Serve as the subject-matter expert for all formula-specification workflows in tools such as SAP- PLM, Smartsheets and act as a key project-management liaison to the Program Management team, enabling strong cross-functional alignment and execution. Responsible for ensuring all ready to drink research and development (R&D) formulas adhere to the country of production and country of sale regulations and commercial restrictions as specified in the formula specification document initially provided to the flavor house. The impact you'll make: Project leadership to develop formula specifications for worldwide formulas in collaboration with the Regulatory teams and program managers. Database management of proprietary raw material specifications in order to provide accurate formula and nutritional information as part of the compliance program. Lead SAP-PLM raw-material setup for commodity ingredients, collaborating with QA to maintain global compliance governance across all materials sourced by Monster. Provide subject-matter expertise in the raw-material specification management system, driving process improvements through strong mastery of Smartsheet project-management tools and SAP-PLM workflows. Oversee and stay current on global regulatory and business constraints captured in SAP-PLM Monster Energy’s formula governance program, providing reporting and insights that enable strategic formulation planning grounded in a comprehensive understanding of both regulatory requirements and the global supply chain. Project manage interactions with the local flavor house regulatory team to obtain additional documents required for formula compliance approval. Partner with the regional regulatory teams to ensure that R&D formulas comply with country of production and sale regulations and commercial restrictions. Who you are: Prefer a Bachelor's Degree in the field of -- Chemistry, Nutrition, Food Science, Regulatory Science or related field of study Additional Experience Desired: More than 5 years of experience in technical roles (Quality and R&D) with a proven record of an understanding of ingredient, formulations, manufacturing, and supply chain. Additional Experience Desired: Between 1-3 years of experience in raw material and formula document specification management in food and beverage industry, preferably in a regulatory function. Computer Skills Desired: Proficient in Microsoft Office suite, PLM systems, SAP experience Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location. Pay Range $88,000—$113,000 USD For United States applicants: Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. 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Collaborate with data teams", "domainKnowledge" : "Sales reporting; Automotive industry; Sales industry", "domainList" : [ "sales-reporting", "automotive-industry", "sales-industry" ], "domainSpecificKnowledge" : [ "Sales reporting", "Automotive industry", "Sales industry" ], "toolProficiency" : [ "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "communicationSkills" : "Presentation preparation", "documentationSkills" : "Document data extraction; Document reporting processes", "problemSolvingSkills" : "Data analysis; Ad-hoc analysis", "outcomesObjectives" : "Support sales reporting and performance; Prepare accurate and timely sales reports; Deliver month-end/year-end retail landing results", "qualificationsBasic" : "Bachelor degree or above, Data analysis tools or scripting, SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, English level CET 6", "qualificationsPreferred" : "Data Science, Business, Information Systems, or related fields, Familiarity with data visualization tools, 2 years' experience in data extraction, reporting, or automotive or sales industry background, High attention to detail, Commitment to data accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: 1. Extract, process, and validate sales data from data lakes and databases using data analysis tools or scripting methods (SQL, database, & etc.) to support sales reporting and performance tracking; 2. Prepare accurate and timely sales reports to support sales steering; 3. Assist in market trend analysis and ad-hoc topics analysis ; 4. Presentation preparation for sales related topics; 5. Collaborate with IT and data teams to ensure data integrity and accessibility for sales reporting. Task description: 1. Data Extraction & Processing - Extract sales data from data sources using appropriate tools or scripts - Cleanse and validate data to ensure accuracy and consistency - Maintain data extraction processes and scripts (where applicable) 2. Sales Reporting & Dashboards - Responsible for in-time and accurate operational report and analysis for central and region sales & marketing (daily reports) - Proactively reporting on sales KPIs include but not limited to sales pace, RT/WS TA achievement, showroom traffic, order performance and sales funnel on different data granularities - Month-end/year-end retail landing result delivery - Leading interpretation of business requirements to create dashboards, analysis, reports, and other data visualizations that provide business insight 3. Basic Market & Sales Analysis - Assist in analyzing market trends and sales performance based on extracted data - Support tactical teams with data for ad-hoc analysis - Help prepare presentation materials with reliable data inputs 4. Process & Data Governance - Document data extraction and reporting processes - Work with IT to improve data structures and reporting efficiency - Ensure compliance with data security and governance policies. - Bachelor degree or above, preferably in Data Science, Business, Information Systems, or related fields. - Practical experience in using data analysis tools or scripting for data extraction and processing (e.g., SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, or similar). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - English level-CET 6 and above. - 2 years’ experience in data extraction, reporting, or analysis; automotive or sales industry background preferred. - High attention to detail and a strong commitment to data accuracy. Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Sales Data Analysis at Beijing Mercedes-Benz Sales Service Co.. Skills: Data analysis, Sales reporting, Data visualization. Extract, process, and validate sales data. Support sales reporting and performance", "createdAt" : "2026-06-14T06:42:27.615", "lastUpdated" : "2026-06-15T13:43:47.516", "ingestTimestamp" : "2026-06-14T06:42:27.615", "mongoId" : "69ce5e3b9bc74574cb677aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation", "Data analysis", "Data visualization", "Market trend analysis", "Sales performance analysis", "Automotive industry", "Sales industry", "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 705.21405, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c91e974d8ee00a0984529", "title" : "Senior Counsel (Complex Trial)", "company" : "Tyson & Mendes LLP", "industry" : "Legal", "salary" : { "min" : 160000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "certifications" : [ "Admission to the State Bar" ], "timestamp" : "2026-06-16T05:50:15.234", "fingerprint" : "bfe263799df1be5e4fcb167d2fb4a067cb51102403abc9380646717e916e8f0b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tysonmendesllp/jobs/5253958008", "externalId" : "5253958008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Trial advocacy", "Legal research", "Legal writing", "Case management", "Negotiation", "Pleading drafting", "Discovery management", "Motion practice", "Client counseling", "Deposition preparation", "Witness preparation" ], "hardSkillsList" : [ "Complex trial", "Commercial litigation", "Construction defect", "Employment litigation", "Premises liability", "Product liability", "Catastrophic injury", "Medical malpractice", "Trucking litigation", "Toxic tort", "Professional liability", "Business litigation", "Appeals", "Arbitration", "Mediation" ], "hardSkills" : [ { "name" : "Complex trial", "level" : "intermediate" }, { "name" : "Commercial litigation", "level" : "intermediate" }, { "name" : "Construction defect", "level" : "intermediate" }, { "name" : "Employment litigation", "level" : "intermediate" }, { "name" : "Premises liability", "level" : "intermediate" }, { "name" : "Product liability", "level" : "intermediate" }, { "name" : "Catastrophic injury", "level" : "intermediate" }, { "name" : "Medical malpractice", "level" : "intermediate" }, { "name" : "Trucking litigation", "level" : "intermediate" }, { "name" : "Toxic tort", "level" : "intermediate" }, { "name" : "Professional liability", "level" : "intermediate" }, { "name" : "Business litigation", "level" : "intermediate" }, { "name" : "Appeals", "level" : "intermediate" }, { "name" : "Arbitration", "level" : "intermediate" }, { "name" : "Mediation", "level" : "intermediate" } ], "majorSkills" : "Complex trial, Litigation, Legal analysis", "majorSkillsList" : [ "Complex trial", "Litigation", "Legal analysis" ], "coreResponsibilities" : "Manage complex trial cases, Conduct legal research, Draft pleadings and motions, Manage discovery, Prepare for and take depositions, Prepare witnesses for testimony, Argue motions, Conduct trials, Negotiate settlements, Counsel clients, Handle appeals, Participate in arbitration, Participate in mediation", "teamCollaboration" : "Law firm teams; Clients", "projectManagementSkills" : [ "Case management" ], "domainKnowledge" : "Complex commercial litigation; Construction defect litigation; Employment litigation; Premises liability litigation; Product liability litigation; Catastrophic injury litigation; Medical malpractice litigation; Trucking litigation; Toxic tort litigation; Professional liability litigation; Business litigation; Appeals; Arbitration; Mediation", "domainList" : [ "complex-commercial-litigation", "construction-defect-litigation", "employment-litigation", "premises-liability-litigation", "product-liability-litigation", "catastrophic-injury-litigation", "medical-malpractice-litigation", "trucking-litigation", "toxic-tort-litigation", "professional-liability-litigation", "business-litigation", "appeals", "arbitration", "mediation" ], "domainSpecificKnowledge" : [ "Complex commercial litigation", "Construction defect litigation", "Employment litigation", "Premises liability litigation", "Product liability litigation", "Catastrophic injury litigation", "Medical malpractice litigation", "Trucking litigation", "Toxic tort litigation", "Professional liability litigation", "Business litigation", "Appeals", "Arbitration", "Mediation" ], "toolProficiency" : [ "Westlaw", "LexisNexis" ], "communicationSkills" : "Client counseling; Courtroom advocacy", "documentationSkills" : "Pleading drafting; Motion drafting; Discovery documents", "problemSolvingSkills" : "Legal analysis; Case strategy", "outcomesObjectives" : "Achieve favorable case outcomes; Successfully resolve client matters", "qualificationsBasic" : "5+ years of complex trial experience, Admission to the State Bar", "qualificationsPreferred" : "Experience with complex commercial litigation, Experience with construction defect litigation, Experience with employment litigation, Experience with premises liability litigation, Experience with product liability litigation, Experience with catastrophic injury litigation, Experience with medical malpractice litigation, Experience with trucking litigation, Experience with toxic tort litigation, Experience with professional liability litigation, Experience with business litigation, Experience with appeals, Experience with arbitration, Experience with mediation", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Tyson & Mendes – Senior Counsel, Complex Trial Teams Where Insurance Defense Meets Innovation Please note: An active bar license in the State of California is required. At Tyson & Mendes, we don’t just litigate—we lead. As a national force in insurance defense and trial advocacy, we’re known for our bold mission to stop Nuclear Verdicts® and our results-driven approach to high-exposure litigation. We are expanding our Complex Trial Teams and seeking accomplished Senior Counsel ready to make an impact in the courtroom and beyond. If you are an experienced trial lawyer who thrives on complex, high-stakes cases, values strategy over spectacle, and wants to be part of a team that is reshaping the future of civil defense—this is your opportunity. Why Tyson & Mendes? Lead with Impact – As Senior Counsel on our Complex Trial Team, you’ll take the reins on challenging, high-value matters with the support and trust of a firm built for trial success. Elite Training + Resources – From our Trial Academy to dedicated jury research and litigation support, we equip you with everything you need to succeed at the highest level. Stability + Momentum – Join a financially strong, nationally scaled firm with an agile, no-silos culture that prioritizes long-term success over short-term wins. Authentic Inclusion – At Tyson & Mendes, diverse perspectives and lived experiences are essential to our approach, our outcomes, and our culture. Results Matter, Not Where You Work – Office-based, hybrid, or remote—we focus on performance and outcomes, not location. Who You Are You are a trial-tested litigator with a defense-first mindset and the strategic acumen to lead complex cases from start to finish. You bring gravitas in the courtroom, confidence in depositions, and clarity in client communication. You think like a tactician, mentor with purpose, and uphold the highest standards of ethics and advocacy. With a deep understanding of high-exposure civil litigation—especially in areas like catastrophic injury, wrongful death, or construction defect—you are ready to take the next step in your leadership and litigation career. Make Your Move. Be part of something bigger—join Tyson & Mendes and help shape the future of insurance defense. Apply today. We’re ready for your best. Responsibilities Lead Complex Trials: Represent clients in high-exposure and complex insurance defense cases, including cases involving catastrophic injury, wrongful death, property damage, and professional liability. Case Strategy and Planning: Develop and execute case strategies, including risk assessment, discovery, motion practice, and trial preparation. Client Advisement: Work closely with clients, insurance carriers, and adjusters to provide clear legal advice, case assessments, and updates on case developments. Litigation Management: Oversee all stages of litigation, including pleadings, discovery, depositions, pre-trial motions, and settlement negotiations. Courtroom Representation: Serve as lead counsel in jury trials, bench trials, and mediations, presenting cases effectively and persuasively. Team Leadership and Mentorship: Supervise and mentor junior attorneys, paralegals, and support staff, ensuring high-quality work and compliance with best practices. Collaboration with Experts: Collaborate with expert witnesses, including medical, forensic, engineering, and economic experts, to strengthen case arguments. Requirements Juris Doctor (JD) from an accredited law school. Active license to practice law in the State of California and eligibility to practice in federal courts. 8+ years of experience in insurance defense litigation with a strong focus on complex trial work. Demonstrated success as lead trial counsel in multiple high-stakes cases. Strong knowledge of civil procedure, tort law, insurance law, and trial strategies. Proven ability to manage and prioritize a large, demanding caseload with limited oversight. Exceptional oral advocacy, legal writing, and negotiation skills. Strong client relationship management skills with an ability to communicate complex legal strategies effectively. Background in catastrophic injury, construction defect, or professional liability cases preferred. Experience with e-discovery tools and case management software. Membership in local or national trial lawyer associations is a plus. Compensation Package The base salary for this position ranges from $160,000-190,000 annually, depending on experience and qualifications Attorneys are eligible for an annual billable hours bonus ranging from $10,000 and then aggregating with $7,500 for every additional tier Comprehensive benefits coverage offered, including plans available at zero employee cost (average annual employer contribution for health/vision/dental/life coverage is $700-$1,700) Employees benefit from a 401(k) program that includes a 100% match on the first 3% contributed and a 50% match on the following 4-5% Employees receive a monthly technology reimbursement of $60 Student loan repayment assistance or 529 college savings plan (full-time attorneys after one year with the firm) $100-$200/month Paid parental leave at base pay Benefits Employee Assistance Program through HealthAdvocate Comprehensive in-house training and leadership development opportunities Firm Provided CLE Programs and Paid Bar License Renewal Fees Flexible vacation policy for attorneys Defined pathway to partnership Internal diversity and inclusion programs, such as the Women’s Initiative and Young Professionals Initiative Firm-wide charitable giving program Numerous social and off-site events each year to enrich your relationships with your colleagues Flexible Work Model: Remote, hybrid, or onsite options available About Tyson & Mendes Click here to learn more about the Tyson & Mendes Office! (944) The Tyson & Mendes Office - YouTube We’re one of the fastest-growing civil defense firms in the country—known for breaking the mold of the traditional law firm. Our dynamic, diverse team of trial attorneys delivers exceptional results, from landmark cases like Howell v. Hamilton Meats to numerous defense verdicts across the nation. But we don’t stop at great legal work—we invest in our people. With specialized training in our proven defense methods, clear paths to leadership, and robust professional development, we empower attorneys to grow their careers, build their personal brands, and become leaders in the field. Follow along with the firm on Twitter and LinkedIn or visit www.tysonmendes.com. Equal Opportunity Employer Notice OK, now for the legal copy (we are a law firm, after all). It is Tyson & Mendes’ policy to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit-based factors. By the way, if you read all of this, congratulations – we can already tell your attention to detail is exceptional. NOTICE TO APPLICANTS/EMPLOYEES OF TYSON & MENDES: Please take notice that the Firm collects certain information about you. For more information on the Firm’s policies, please refer to the document provided here. No recruiters/agencies #li-remote Pay Range $160,000—$190,000 USD", "summaryDescription" : "Senior Counsel (Complex Trial) at Tyson & Mendes LLP. Skills: Complex trial, Litigation, Legal analysis. Manage complex trial cases. Conduct legal research", "postedDate" : "2026-06-14T21:48:11.727", "createdAt" : "2026-06-14T21:48:11.727", "lastUpdated" : "2026-06-16T05:50:15.234", "ingestTimestamp" : "2026-06-14T21:48:11.727", "mongoId" : "6a2c91e974d8ee00a0984529", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Complex trial", "Commercial litigation", "Construction defect", "Employment litigation", "Premises liability", "Product liability", "Catastrophic injury", "Medical malpractice", "Trucking litigation", "Toxic tort", "Professional liability", "Business litigation", "Appeals", "Arbitration", "Mediation", "Litigation", "Legal analysis", "Trial advocacy", "Legal research", "Legal writing", "Case management", "Negotiation", "Pleading drafting", "Discovery management", "Motion practice", "Client counseling", "Deposition preparation", "Witness preparation", "Complex commercial litigation", "Construction defect litigation", "Premises liability litigation", "Product liability litigation", "Catastrophic injury litigation", "Medical malpractice litigation", "Toxic tort litigation", "Professional liability litigation", "Admission to the State Bar", "Westlaw", "LexisNexis" ], "skillCount" : 39, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 673.82733, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca68e74d8ee00a09bc2e2", "title" : "Associate, Product Development, Formula and Fragrance", "company" : "Athena Club", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T02:35:17.514", "fingerprint" : "cbf527ddd854ed35611843f085227339766840cb0e155d8fdce0b00b60a177a6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/athenaclub/jobs/4260885009", "externalId" : "4260885009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "Athena Club is building the next-generation personal care company, and we’re just getting started. Over the past 12 months, we’ve doubled our business, accelerated our retail momentum, and expanded our reach as more customers turn to Athena for beautifully designed, high-performance essentials. We’re redefining everyday personal care through innovation, transparency, and design-led thinking, transforming daily routines into rituals. With strengths in world-class product development, compelling storytelling, and a brand built to stand out on shelf and in culture, we’re entering an exciting new phase of category expansion and national growth. We’re looking for experienced, entrepreneurial leaders who thrive in fast-moving environments, take full ownership, and know how to scale teams, systems, and outcomes. This role is a rare opportunity to help shape Athena Club’s next chapter, driving strategy, execution, and long-term impact as we build an iconic modern personal care brand. The Role Athena Club is looking for a Associate, Product Development, Formula and Fragrance to join our Product Development team. Reporting to the Senior Manager, Product Development, this Team Member will own the day-to-day coordination of formula and fragrance development - managing vendor relationships, driving feedback cycles, and ensuring every detail is tracked from brief through launch. This is a hands-on role ideal for someone early in their product development career who thrives in a fast-moving environment, takes strong ownership of their programs, and brings exceptional organizational discipline to everything they touch. Responsibilities Formula Development Own day-to-day coordination with external labs, ensuring consistent follow-up and accountability on formula submissions, sample requests, and re-submission cycles Support creation of formulation briefs across multiple product categories, translating brand and consumer needs into clear technical direction Prepare formula comparison tables including ingredient lists, EWG/Yuka scores, Target Clean compliance flags, COGS inputs, and competitive benchmarking data Flag ingredients outside of Athena Club's restriction list and maintain that list current across categories Track formula COGS across all active projects; ensure costs are inputted into trackers and flag formulas trending outside margin targets Manage all formula testing including stability, compatibility, PET, and HRIPT; escalate issues quickly Fragrance Development Write and manage fragrance briefs documenting olfactive direction, inspiration, competitive references, and required restrictions (IFRA compliance, allergen thresholds, retail clean standards) Physically handle and track all fragrance samples; organize and synthesize team smelling notes across submissions from multiple perfumers and fragrance houses into clear evaluation summaries Track fragrance notes and pricing across vendors to ensure alignment with cost targets Build and maintain a fragrance library organized by olfactive category with status tracking (in development, selected, discontinued) by SKU and category Support allergen disclosure workflows including CSCP/SB 258 California labeling requirements and FDA fragrance transparency standards Track and manage fragrance requests submitted to contract manufacturers, ensuring timely follow-up and clear communication across all parties Sample Tracking flag projects falling behind cycle targets or consuming excessive rounds Prepare agendas, background materials, and summary documents for internal review sessions Trackers proactively surface risks to timeline before they become launch issues Regulatory help labs prioritize workload to meet launch deadlines Coordinate on quote requests, lead times, MOQs, and formula cost targets; escalate cost variances and flag discrepancies against targets Requirements 1-2 years of experience in product development, formulation support, or a closely related role within beauty, personal care, or CPG Strong working knowledge of the end-to-end product development process from brief through launch Exceptional organizational skills and meticulous attention to detail -- you build trackers others rely on and nothing falls through the cracks Proactive and fast-moving; comfortable escalating quickly when needed and operating with autonomy Familiarity with cosmetic formulation concepts, ingredient categories, clean beauty standards, and basic regulatory frameworks (FDA, EU, California) Experience working with external labs or development partners and managing iterative feedback cycles Excel/Google Sheets power user; experience with Monday.com or similar project management tools is a plus Strong written and verbal communication skills -- clear, concise briefs and professional external correspondence are a requirement Collaborative by nature; makes it easy for cross-functional partners to work with you Nice to Have Experience with EWG, Yuka, or retailer clean standards (Target Clean, Sephora Clean, ULTA Conscious Beauty) Familiarity with OTC drug product development or antiperspirant/deodorant formulation Exposure to EU/UK cosmetic regulatory requirements or experience working with a Responsible Person Experience supporting fragrance development from brief to selection, including IFRA compliance and allergen reporting Background in a DTC or omnichannel consumer brand environment The (+) Extras Medical, Dental, Vision insurance Life + Disability HSA or FSA Commuter benefits 401K Weekly team lunches Optional Bi-Weekly Team Workouts Annual Offsite “Camp Athena Club” Salary Range $75,000—$95,000 USD Equal Opportunity & Inclusion Athena Club is an equal opportunity employer and is committed to building an inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, citizenship status, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable law. We believe diverse perspectives strengthen our team and our products, and we encourage people from all backgrounds to apply.", "summaryDescription" : "Associate, Product Development, Formula and Fragrance at Athena Club", "postedDate" : "2026-06-14T19:09:37.807", "createdAt" : "2026-06-14T19:09:37.807", "lastUpdated" : "2026-06-16T02:35:17.514", "ingestTimestamp" : "2026-06-14T19:09:37.807", "mongoId" : "6a2ca68e74d8ee00a09bc2e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 644.53656, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69f894fe4c40e2acd1fa43c9", "title" : "Complex Property Claims Specialist", "company" : "The Cincinnati Insurance Companies", "industry" : "Insurance", "salary" : { "min" : 90000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Claims - Complex Property Claims Specialist I", "locations" : [ "Claims - Complex Property Claims Specialist I", "164406", "false, 164406, false" ], "timestamp" : "2026-06-15T07:22:56.192", "fingerprint" : "e999fad1b51e5b2494190786446dfa8863f560e7324464f21ad4b54c85e8c191", "source" : "taleo", "language" : "en", "applyUrl" : "https://cinfin.taleo.net/careersection/ex/jobdetail.ftl?job=164406", "externalId" : "164406", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Xactimate", "professionalSkills" : [ "Claims handling", "Coverage analysis", "Estimate evaluation" ], "hardSkillsList" : [ "Property claims", "Business income", "Extra expense" ], "hardSkills" : [ { "name" : "Property claims", "level" : "intermediate" }, { "name" : "Business income", "level" : "intermediate" }, { "name" : "Extra expense", "level" : "intermediate" } ], "majorSkills" : "Complex property claims, Claims investigation, Coverage analysis", "majorSkillsList" : [ "Complex property claims", "Claims investigation", "Coverage analysis" ], "coreResponsibilities" : "Investigate large complex property claims, Adjust large complex property claims, Analyze property coverage forms, Resolve questions of coverage, Resolve questions of value, Prepare estimates, Evaluate estimates, Assist in catastrophe situations, Engage in proactive claims handling, Provide superior claims service, Recommend timely reserves, Recommend adequate reserves, Prepare detailed narrative factual reports, Prepare statements of loss, Assist in education of Field Claims", "teamCollaboration" : "Collaborate within a diverse team", "domainKnowledge" : "Property claims handling; Business income; Extra expense", "domainList" : [ "property-claims-handling", "business-income", "extra-expense" ], "domainSpecificKnowledge" : [ "Property claims handling", "Business income", "Extra expense" ], "toolProficiency" : [ "Xactimate" ], "communicationSkills" : "Factual reports; Statements of loss", "documentationSkills" : "Factual reports; Statements of loss", "continuousLearning" : "Lifelong learning approach; Tools and training", "problemSolvingSkills" : "Make informed decisions", "specialRequirements" : "Travel as needed, Residing in western half of United States preferred", "outcomesObjectives" : "Superior claims service", "qualificationsBasic" : "Five or more years of demonstrated expertise in property claim handling, Ability to work independently, Make informed decisions, Experience with coverage forms, Policies and claims procedure", "qualificationsPreferred" : "Bachelor’s degree, Insurance designations", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Make a difference with a career in insurance At The Cincinnati Insurance Companies, we put people first and apply the Golden Rule to our daily operations. To put this into action, we’re looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person ®. If you’re ready to build productive relationships, collaborate within a diverse team, embrace challenges and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow. Start your journey with us Headquarters Property Claims seeks an experienced property claims professional to remotely oversee complex property claims in the Western Region . A c andidate residing in the western half of the United States is preferred. Salary: The pay range for this position is $90,000 - $120,000 annually. The pay determination is based on the applicant’s education, experience, location, knowledge, skills and abilities. Eligible associates may also receive an annual cash bonus and stock incentives based on company and individual performance. Be ready to: investigate and adjust large and complex property claims in the United States analyze property coverage forms to include business income and extra expense resolve questions of coverage and value of claims prepare and/or evaluate estimates assist in catastrophe situations engage in proactive claims handling, while providing superior claims service recommend timely and adequate reserves for the ultimate claim payment prepare detailed narrative factual reports and statements of loss assist in the education of Field Claims in property claims handling Qualified candidates have: five or more years of demonstrated expertise in property claim handling the ability to work independently and make informed decisions exceptional communication skills experience with coverage forms, policies and claims procedure proficient in Xactimate the ability to travel as needed Education: bachelor’s degree and insurance designations preferred Enhance your talents Providing outstanding service and developing strong relationships with our independent agents are hallmarks of our company. Whether you have experience from another carrier or you’re new to the insurance industry, we promote a lifelong learning approach. Cincinnati provides you with the tools and training to be successful and to become a trusted, respected insurance professional – all while enjoying a meaningful career. Enjoy benefits and amenities Your commitment to providing strong service, sharing best practices and creating solutions that impact lives is appreciated. To increase the well-being and satisfaction of our associates, we offer a variety of benefits and amenities. Learn more about our benefits and amenities packages. Embrace a diverse team As a relationship-based organization, we welcome and value a diverse workforce. We grant equal employment opportunity to all qualified persons without regard to race; creed; color; sex, including sexual orientation; religion; national origin; age; disability; or any other basis prohibited by law. Learn more about the Federal Employment Notices . 164406", "summaryDescription" : "Complex Property Claims Specialist at The Cincinnati Insurance Companies. Skills: Complex property claims, Claims investigation, Coverage analysis. Investigate large complex property claims. Adjust large complex property claims", "createdAt" : "2026-06-14T00:52:11.479", "lastUpdated" : "2026-06-15T07:22:56.192", "ingestTimestamp" : "2026-06-14T00:52:11.479", "mongoId" : "69f894fe4c40e2acd1fa43c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 120000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Property claims", "Business income", "Extra expense", "Complex property claims", "Claims investigation", "Coverage analysis", "Claims handling", "Estimate evaluation", "Property claims handling", "Xactimate" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 587.9654, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.98 }, { "id" : "68ed10aa70f0b99d58e7b94c", "title" : "ICQA Data Analyst", "company" : "Amazon Canada Fulfillment Services, ULC.", "industry" : "Administrative Support, fulfillment ops team", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level ICQA Data Analyst in Ottawa, Canada, adjusted for industry and company size." }, "location" : "Ottawa, Ontario, CAN", "locations" : [ "Ottawa, Ontario, CAN" ], "timestamp" : "2026-06-16T01:25:02.967", "fingerprint" : "96b3c6c83b1ec8f947cf9c7cbae3638cff133c71e229b01d3a36c4d1b29ece5f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105515/apply", "externalId" : "3b03a732-9035-4607-a405-1fbe918945a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ottawa", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.4208777,-75.6901106" } ], "locationText" : "Ottawa, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "High school or equivalent diploma", "experienceMinYears" : 2, "technicalSkills" : "SQL, Excel, Tableau, Python, R", "professionalSkills" : [ "Data analysis" ], "hardSkillsList" : [ "Data analysis", "SQL", "Excel", "Tableau", "Python", "R" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Excel", "level" : "intermediate" }, { "name" : "Tableau", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "R", "level" : "intermediate" } ], "majorSkills" : "Data analysis, SQL, Excel", "majorSkillsList" : [ "Data analysis", "SQL", "Excel" ], "coreResponsibilities" : "Analyze data, Develop reports, Identify trends, Improve processes, Support operational teams, Track key metrics, Communicate findings", "teamCollaboration" : "Operational teams", "domainKnowledge" : "Fulfillment center operations", "domainList" : [ "fulfillment-center-operations" ], "domainSpecificKnowledge" : [ "Fulfillment center operations" ], "toolProficiency" : [ "SQL", "Excel", "Tableau", "Python", "R" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Identify trends; Improve processes", "outcomesObjectives" : "Improve processes; Track key metrics", "qualificationsBasic" : "2+ years of experience in data analysis, Experience with SQL, Experience with Excel", "qualificationsPreferred" : "Bachelor's degree in a quantitative field, Experience with Tableau, Experience with Python or R", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. Key job responsibilities * Development of data collection processes and data management systems * Maintenance of data integrity (0% error rate) * Designing of queries, compiling of data, and generation of reports in MS Excel * Charting and graphing of data for reporting purposes * In depth research of defect trends * Data collection and entry as needed * Data mining and problem solving * Back up for Process Assistant duties Basic Qualifications: - 2+ years of business analyst, data analyst or an equivalent role experience - 1+ years of using SQL to extract and manipulate data experience - Bachelor's degree, or High school or equivalent diploma - 2+ years of professional work experience, or experience in MS Office, with an emphasis on Excel - Experience writing complex Excel VBA macros - Experience in advanced SQL, Python, Tableau - Experience demonstrating problem solving and root cause analysis - Experience with modern software development, web development frameworks, APIs - 1+ years project management experience Preferred Qualifications: - 3+ years of business analyst, data analyst or similar role experience - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment - Experience programming with at least one software programming language, or experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Knowledge of data warehousing and data modeling - Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. - Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics, Supply Chain or related field 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" : "ICQA Data Analyst at Amazon Canada Fulfillment Services, ULC.. Skills: Data analysis, SQL, Excel. Analyze data. Develop reports", "postedDate" : "2026-06-14T19:51:27.640", "createdAt" : "2026-06-14T19:51:27.640", "lastUpdated" : "2026-06-16T01:25:02.967", "ingestTimestamp" : "2026-06-14T19:51:27.640", "mongoId" : "68ed10aa70f0b99d58e7b94c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105515/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "SQL", "Excel", "Tableau", "Python", "R", "Fulfillment center operations" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 564.69385, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307495f292fd229c007bb3", "title" : "Senior Data Analyst - Fraud Prevention", "company" : "Preply", "industry" : "Data", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Analyst in Barcelona, Spain, adjusted for the Education industry and company size." }, "location" : "Barcelona", "locations" : [ "Barcelona" ], "timestamp" : "2026-06-16T10:58:18.608", "fingerprint" : "3f0babd9d5603ff021b6cadbd4307a75ea7fc91f4848e361a8f035ff0060d47c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/preply/95232647-0b16-48b0-b0a5-98060c3fca0b/application", "externalId" : "95232647-0b16-48b0-b0a5-98060c3fca0b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, AWS, GCP, Azure, Spark, Dbt", "professionalSkills" : [ "Data analysis", "Statistical modeling", "Experimental design", "Data visualization", "Problem-solving" ], "hardSkillsList" : [ "Data manipulation", "Statistical analysis", "Data modeling", "A/B testing", "Experimental design" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Data analysis, SQL, BI tools, Statistical modeling", "majorSkillsList" : [ "Data analysis", "SQL", "BI tools", "Statistical modeling" ], "coreResponsibilities" : "Analyze large datasets, Develop and maintain dashboards, Perform statistical analysis, Design and execute A/B tests, Collaborate with stakeholders, Identify trends and insights, Present findings to stakeholders, Improve data quality", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams", "domainKnowledge" : "Online education market", "domainList" : [ "online-education-market" ], "domainSpecificKnowledge" : [ "Online education market" ], "toolProficiency" : [ "SQL", "Python", "R", "Tableau", "Power BI", "AWS", "GCP", "Azure", "Spark", "Dbt" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document analysis", "problemSolvingSkills" : "Problem-solving; Analytical skills", "outcomesObjectives" : "Drive product improvements; Optimize user experience; Inform business strategy", "qualificationsBasic" : "5+ years of experience in data analysis, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD, Experience with Python or R for data analysis, Experience with BI tools like Tableau or Power BI, Experience with cloud platforms (AWS, GCP, Azure), Experience with A/B testing and experimental design", "remoteFriendly" : true, "rawDescription" : "WE POWER PEOPLE’S PROGRESS. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. MEET THE TEAM: At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact. As Senior Data Analyst – Fraud Prevention, you will be the analytical bridge between Product, Fraud Operations, and the Applied AI team. You will be the expert who turns model outputs and raw signals into actionable intelligence: rules, alerts, forecasts, and metrics that keep Preply’s marketplace safe and trustworthy. Our Data Team https://www.linkedin.com/posts/preply_data-team-uncovered-activity-7232342101730971652-3ate/?utm_source=share&utm_medium=member_desktop is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar https://tech-radar.preply.com/ to learn about the technologies we use at Preply! WHAT YOU’LL BE DOING - Work with outputs from ML models to maintain and improve fraud prevention decision, balancing detection coverage against false positive rates - Own the fraud rule lifecycle - designing, testing, and maintaining prevention rules, with a clear view of coverage, false positive trade-offs, and when to retire what's no longer working - Partner with Fraud Operations to understand emerging abuse patterns and translate operational observations into analytical improvements. - Design and maintain alerting systems that identify threats early, giving the team time to respond before incidents escalate. - Forecast fraud losses and chargeback volumes, giving Finance and Risk leadership earlier visibility into projected exposure. - Define and own the north star metrics and KPIs for fraud prevention, ensuring reporting is clear, owned, and actionable at the executive level. - Act as the data bridge between Product and the Applied AI team - providing performance feedback that informs model updates and roadmap prioritisation. - Support the evaluation of third-party fraud prevention providers, bringing data-driven criteria to vendor assessments. - Collaborate with Data and Analytics Engineering to ensure fraud-related data is tracked, governed, and handled in line with PII requirements. WHAT YOU NEED TO SUCCEED - 4+ years of experience in fraud analytics, risk analysis, or a closely related payments/trust & safety domain. - Strong SQL and Python proficiency being comfortable writing analytical queries across large transactional datasets, building monitoring logic, and applying statistical techniques to fraud and risk problems - Experience designing and maintaining dashboards or alerting systems with clear signal-to-noise discipline. - Strong analytical communication: able to turn ambiguous fraud signals into crisp, actionable narratives for operational and executive audiences. - Experience collaborating with cross-functional teams including Operations, Engineering, and Product. - Ability to leverage AI tools and agents as a force multiplier for analysis, while maintaining the critical thinking to interrogate outputs, spot gaps, and own the conclusions - Experience mentoring junior and mid-level analysts helping them grow their technical skills, develop analytical judgement, and raise the quality of the team's output NICE TO HAVE - Prior experience working in a marketplace or two-sided platform. - Experience with payment processing concepts - chargebacks, dispute flows, authorisation rates, PSP dynamics. - Exposure to compliance or regulatory frameworks (PSD2/3, AML, KYC). WHY YOU’LL LOVE IT AT PREPLY - An open, collaborative, dynamic and diverse culture; - A generous monthly allowance for lessons on http://preply.comPreply.com http://Preply.com, Learning & Development budget and time off for your self-development; - A competitive financial package with equity, leave allowance and health insurance; - Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub - Access to free mental health support platforms; - Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health; - The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). #LI-AG1 OUR PRINCIPLES - Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. - We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. - Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. - Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. - Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. - Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. - Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. - Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. - Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. - One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. DIVERSITY, EQUITY, AND INCLUSION Preply.com http://Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.", "summaryDescription" : "Senior Data Analyst - Fraud Prevention at Preply. Skills: Data analysis, SQL, BI tools, Statistical modeling. Analyze large datasets. 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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, "_score" : 557.48645, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e3ce260f92cbf8eacb", "title" : "Software Development Manager, DynamoDB Global Tables", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T08:21:14.040", "fingerprint" : "63e759b828bd60cf1d9f352593994300515cae4e9185e7eea644c4c55bd13298", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100433/apply", "externalId" : "201207b3-daf2-4786-891a-c199e95ad5c8", "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" : 3, "experienceLevel" : "Manager", "technicalSkills" : "DynamoDB, NoSQL, AWS", "professionalSkills" : [ "Distributed systems", "Database systems", "Hyper-scale systems", "Data replication", "Consistency", "High-availability architecture" ], "hardSkillsList" : [ "Software development", "Web services development", "Livesite operations" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Web services development", "level" : "intermediate" }, { "name" : "Livesite operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Distributed systems, Database management, Team leadership", "majorSkillsList" : [ "Distributed systems", "Database management", "Team leadership" ], "coreResponsibilities" : "Lead and mentor engineering team, Drive critical technology decisions, Champion operational excellence, Shape the future of distributed database systems", "domainKnowledge" : "Distributed database systems; Cloud computing; Serverless databases; Multi-Region databases; Multi-active databases", "domainList" : [ "distributed-database-systems", "cloud-computing", "serverless-databases", "multi-region-databases", "multi-active-databases" ], "domainSpecificKnowledge" : [ "Distributed database systems", "Cloud computing", "Serverless databases", "Multi-Region databases", "Multi-active databases" ], "innovationCreativity" : "Driving innovation", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 8+ years leading definition and development of multi tier web services, Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, Experience partnering with product or program management teams", "qualificationsPreferred" : "Experience communicating with users, other technical teams, and senior leadership, Experience recruiting, hiring, mentoring/coaching and managing teams of Software Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join Amazon DynamoDB - the fully managed NoSQL database service that powers the world's most demanding applications with single-digit-millisecond performance at any scale. As a cornerstone of AWS Cloud, DynamoDB serves industry leaders like Lyft, Airbnb, Samsung, Toyota, and Capital One, enabling their mission-critical workloads and innovative customer experiences. We're seeking an exceptional leader for our DynamoDB Global Tables organization, the team behind our fully managed, serverless, multi-Region, and multi-active database solution. In this role, you will: • Lead and mentor a high-performing engineering team • Drive critical technology decisions that impact millions of customers globally • Champion operational excellence at unprecedented scale • Shape the future of distributed database systems The ideal candidate combines technical depth in distributed systems and databases with strong leadership abilities. You'll be at the forefront of solving complex challenges in: • Hyper-scale distributed systems • Global data replication and consistency • High-availability architecture If you're passionate about building world-class database services and driving innovation in cloud computing, we want to talk to you. Learn more about DynamoDB Global Tables: https://aws.amazon.com/dynamodb/global-tables. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers 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 $166,400/year in our lowest geographic market up to $287,700/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" : "Software Development Manager, DynamoDB Global Tables at Amazon Development Center U.S., Inc.. Skills: Distributed systems, Database management, Team leadership. Lead and mentor engineering team. Drive critical technology decisions", "postedDate" : "2026-06-13T12:48:00.083", "createdAt" : "2026-06-13T12:48:00.083", "lastUpdated" : "2026-06-15T08:21:14.040", "ingestTimestamp" : "2026-06-13T12:48:00.083", "mongoId" : "68e0a7e3ce260f92cbf8eacb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100433/apply", "salaryAnnualMin" : 166400, "salaryAnnualMax" : 287700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "Web services development", "Livesite operations", "Leadership", "Mentoring", "Distributed systems", "Database management", "Team leadership", "Database systems", "Hyper-scale systems", "Data replication", "Consistency", "High-availability architecture", "Distributed database systems", "Cloud computing", "Serverless databases", "Multi-Region databases", "Multi-active databases" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 555.6869, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69dde3e52beec4dd3d9a03fa", "title" : "Data Analysis and Quality Assurance Director", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data Analysis and Quality Assurance in Austin, Texas, adjusted for government industry and seniority." }, "location" : "826770", "locations" : [ "826770", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T08:50:23.902", "fingerprint" : "59540f617c815fc9a9369d5c690638b92eadeb9abb68f7061cbad208bee2e008", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34107", "externalId" : "34107", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Strategic planning", "Policy development", "Data analysis", "Reporting", "Quality assurance", "Process improvement", "Forecasting", "Modeling" ], "hardSkillsList" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Quality assurance, Data engineering, Machine learning", "majorSkillsList" : [ "Data analysis", "Quality assurance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Direct data reporting and analysis activities, Develop techniques for analyzing and reporting data, Remain compliant with state and federal rules, Develop and establish goals and objectives, Provide direction, guidance, and assistance in developing reports, Provide direction, guidance, and assistance in collecting data, Review and approve reports, Review and approve data collection, Review and approve analysis, Ensure accuracy of reports, Ensure quality reports are distributed, Review guidelines, procedures, rules, Monitor compliance related to contract and procurement databases, Make recommendations to improve data collection, Make recommendations to improve data analysis, Plan, develop, and approve schedules, Plan, develop, and approve priorities, Plan, develop, and approve standards, Review results of special investigations, Review results of internal audits, Review results of research studies, Review results of forecasts, Review results of modeling exercises, Provide direction and guidance, Perform advanced managerial work, Provide direction and guidance in strategic operations, Provide direction and guidance in planning, Establish goals and objectives, Respond to audit requests, Develop guidelines, procedures, policies, rules, and regulations, Develop schedules, priorities, and standards, Coordinate data collection, Coordinate reporting, Coordinate quality, Evaluate data collection, Evaluate reporting, Evaluate quality, Develop data reports, Develop policies and procedures for producing quality reports, Develop policies and procedures for maintaining data integrity, Plan work of others, Assign work of others, Supervise work of others", "teamCollaboration" : "Cross-functional teams; 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Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. Develop techniques for analyzing and reporting data", "createdAt" : "2026-06-14T01:12:18.507", "lastUpdated" : "2026-06-15T08:50:23.902", "ingestTimestamp" : "2026-06-14T01:12:18.507", "mongoId" : "69dde3e52beec4dd3d9a03fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Quality assurance", "Data engineering", "Machine learning", "Strategic planning", "Policy development", "Reporting", "Process improvement", "Forecasting", "Modeling", "Roadmap planning", "Procurement", "Contract management", "State data reporting", "Federal regulations", "Dbt Cloud" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 555.51184, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d632e74d8ee00a0baeba2", "title" : "Data Operations Analyst Intern", "company" : "Instawork", "industry" : "Technology", "salary" : { "min" : 18000.0, "max" : 28000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Data Operations Analyst Intern in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-16T04:28:03.478", "fingerprint" : "42e73a87ecf812b0ba063c5531b07984fc8ecd3c82360680b31999d84efc059e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/instawork/jobs/4689262006", "externalId" : "4689262006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Excel, Google Sheets, Power Query, SQL", "professionalSkills" : [ "Route planning", "Territory coverage", "Visit scheduling", "Data cleaning", "Data validation", "Data organization", "Route optimization", "Spatial analysis" ], "hardSkillsList" : [ "VLOOKUP", "XLOOKUP", "INDEX-MATCH", "Pivot tables", "Conditional formatting", "Data validation", "Named ranges", "SUMIFS", "COUNTIFS", "IF logic", "Date logic", "Sorting", "Filtering", "Deduplication", "Address standardization", "Zone standardization" ], "hardSkills" : [ { "name" : "VLOOKUP", "level" : "intermediate" }, { "name" : "XLOOKUP", "level" : "intermediate" }, { "name" : "INDEX-MATCH", "level" : "intermediate" }, { "name" : "Pivot tables", "level" : "intermediate" }, { "name" : "Conditional formatting", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Named ranges", "level" : "intermediate" }, { "name" : "SUMIFS", "level" : "intermediate" }, { "name" : "COUNTIFS", "level" : "intermediate" }, { "name" : "IF logic", "level" : "intermediate" }, { "name" : "Date logic", "level" : "intermediate" }, { "name" : "Sorting", "level" : "intermediate" }, { "name" : "Filtering", "level" : "intermediate" }, { "name" : "Deduplication", "level" : "intermediate" }, { "name" : "Address standardization", "level" : "intermediate" }, { "name" : "Zone standardization", "level" : "intermediate" } ], "majorSkills" : "Excel, Data analysis, Route planning", "majorSkillsList" : [ "Excel", "Data analysis", "Route planning" ], "coreResponsibilities" : "Build Excel workbooks for route planning, Maintain Excel workbooks for territory coverage, Maintain Excel workbooks for visit schedules, Clean location data, Validate location data, Organize location data, Clean operational data, Validate operational data, Organize operational data, Create route maps, Create territory layouts, Support route optimization, Group stops by geography, Group stops by time windows, Group stops by FO capacity, Produce weekly planning sheets, Produce daily planning sheets, Track coverage gaps, Flag issues to FO lead, Maintain documentation of assumptions, Maintain documentation of data sources, Maintain documentation of version history, Incorporate feedback from FOs, Incorporate feedback from managers, Update planning files, Fix errors flagged by FOs, Refresh route maps, Refresh territory plans, Submit summary of changes, Submit open gaps", "teamCollaboration" : "Field Operations team; FOs and managers", "domainKnowledge" : "Market operations; Worker coverage; Visit schedules; Logistics; Field sales; Delivery routing; Operations planning; US/Canada metro markets; Multi-city territory design", "domainList" : [ "market-operations", "worker-coverage", "visit-schedules", "logistics", "field-sales", "delivery-routing", "operations-planning", "us-canada-metro-markets", "multi-city-territory-design" ], "domainSpecificKnowledge" : [ "Market operations", "Worker coverage", "Visit schedules", "Logistics", "Field sales", "Delivery routing", "Operations planning", "US/Canada metro markets", "Multi-city territory design" ], "toolProficiency" : [ "Microsoft Excel", "Google Maps", "Google My Maps", "QGIS" ], "communicationSkills" : "Explain route building; Explain territory building", "documentationSkills" : "Maintain documentation", "problemSolvingSkills" : "Route optimization; Troubleshooting coverage gaps", "outcomesObjectives" : "Plans must be accurate; Plans must be reproducible; Plans must be easy to follow", "qualificationsBasic" : "Microsoft Excel Intermediate-advanced, Data hygiene skills, Spatial / route thinking, Attention to detail, Clear communication, Reliability", "qualificationsPreferred" : "Google Sheets or Excel Power Query experience, Mapping tools familiarity, Basic SQL or comfort exporting from dashboards/CSVs, Prior work in logistics, field sales, delivery routing, or operations planning, Understanding of US/Canada metro markets or multi-city territory design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About the Role We are looking for detail-oriented Operations Data Analyst Interns to support Instawork's Field Operations (FO) team. You will work with operational data-markets, territories, business locations, worker coverage, and visit schedules-to build and maintain route maps and planning spreadsheets that help FOs run efficiently in the field. This is a fully remote internship with clear deliverables, performance incentives, and regular feedback. If you enjoy working with data in Excel, have strong attention to detail, and want hands-on exposure to operations at a fast-growing marketplace-this role is for you. Key Responsibilities Build and maintain Excel workbooks for FO route planning, territory coverage, and visit schedules. Clean, validate, and organize location and operational data (addresses, zones, markets, visit frequency, priorities). Create route maps and territory layouts using Excel (tables, pivots, conditional formatting) and/or mapping tools (e.g., Google Maps) as directed. Support route optimization by grouping stops by geography, time windows, and FO capacity. Produce weekly and daily planning sheets for FOs: who visits where, in what order, and with what targets. Track coverage gaps (uncovered businesses, overdue visits, imbalanced territories) and flag issues to the FO lead. Maintain documentation of assumptions, data sources, and version history for planning files. Incorporate feedback from FOs and managers to improve accuracy and usability of plans. Required Skills (Must-Have) Microsoft Excel: Intermediate-advanced: VLOOKUP/XLOOKUP, INDEX-MATCH, pivot tables, conditional formatting, data validation, named ranges, SUMIFS, COUNTIFS, IF, date logic. Data hygiene: Sorting/filtering large datasets, deduplication, standardizing addresses/zones, spotting inconsistencies. Spatial / route thinking: Grouping locations by proximity, zones, or drive time; basic understanding of territories and visit sequencing. Attention to detail: Accurate data entry, cross-checking outputs, catching errors before plans go to the field. Communication: Clear notes in spreadsheets; ability to explain how a route or territory was built. Reliability: Meet deadlines; follow templates and SOPs; respond to revision requests quickly. Nice-to-Have Experience with Google Sheets or Excel Power Query for imports and refreshes. Familiarity with mapping tools (Google My Maps, QGIS, or route APIs). Basic SQL or comfort exporting from dashboards/CSVs into Excel. Prior work in logistics, field sales, delivery routing, or operations planning. Understanding of US/Canada metro markets or multi-city territory design. Sample Deliverables Territory assignment sheet: businesses to FO to zone to visit cadence. Weekly route plan: ordered stop list per FO with estimated time/distance notes. Coverage dashboard: % of accounts visited, gaps by market, overdue visits. Master location file: validated addresses, geocodes (if available), market tags. Expectations Daily: Update planning files from latest operational data; fix errors flagged by FOs. Weekly: Refresh route maps and territory balances; submit summary of changes and open gaps. Quality bar: Plans must be accurate, reproducible, and easy for a non-analyst FO to follow. Our Values Empathy, Trust RetailTech Breakthrough named us Workforce Hiring Solution of the Year for 2025; and Inc. 5000 recognized us as one of the country's top 10% fastest-growing companies two years in a row. But what matters most is our impact. We're solving real problems for real people, and we’re doing it at scale. Join our team to help us build something that matters! We’re looking for superstars who want to help us shape the future of work. With hubs in San Francisco, Bangalore, and Chicago, city offices in New York, Phoenix, and Singapore, we're back to working together in-person five days a week because we believe the best ideas happen when great people collaborate face-to-face. We also value diverse perspectives and encourage applications from candidates of all backgrounds. Ready to make an impact? Learn more at www.instawork.com/about. Personnel Privacy Policy", "summaryDescription" : "Data Operations Analyst Intern at Instawork. Skills: Excel, Data analysis, Route planning. Build Excel workbooks for route planning. Maintain Excel workbooks for territory coverage", "postedDate" : "2026-06-14T19:01:49.796", "createdAt" : "2026-06-14T19:01:49.796", "lastUpdated" : "2026-06-16T04:28:03.478", "ingestTimestamp" : "2026-06-14T19:01:49.796", "mongoId" : "6a2d632e74d8ee00a0baeba2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "VLOOKUP", "XLOOKUP", "INDEX-MATCH", "Pivot tables", "Conditional formatting", "Data validation", "Named ranges", "SUMIFS", "COUNTIFS", "IF logic", "Date logic", "Sorting", "Filtering", "Deduplication", "Address standardization", "Zone standardization", "Excel", "Data analysis", "Route planning", "Territory coverage", "Visit scheduling", "Data cleaning", "Data organization", "Route optimization", "Spatial analysis", "Market operations", "Worker coverage", "Visit schedules", "Logistics", "Field sales", "Delivery routing", "Operations planning", "US/Canada metro markets", "Multi-city territory design", "Microsoft Excel", "Google Maps", "Google My Maps", "QGIS" ], "skillCount" : 38, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 553.052, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca58374d8ee00a09b6ec2", "title" : "Senior Data Analyst", "company" : "Forge Global", "industry" : "FinTech", "salary" : { "min" : 98000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Denver, Colorado, United States", "locations" : [ "Denver", "Colorado", "United States", "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T10:21:07.455", "fingerprint" : "ec7a741f3653d6b8a906c84b49648cbe4a463de865e3d609e76b3db18957268d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/forgeglobal/jobs/6014212004", "externalId" : "6014212004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Segment, Looker, Heap, Launch Darkly", "professionalSkills" : [ "Product strategy", "Organizational impact", "Business strategy", "Forecasting", "Growth strategy", "Data quality", "Data consistency", "Data documentation", "Product development", "Business context" ], "hardSkillsList" : [ "Data analysis", "Predictive modeling", "Statistical analysis", "Experimental design", "A/B testing", "Performance tuning", "Automation" ], "softSkillsList" : [ "Storytelling", "Analytical", "Problem-solving" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" }, { "name" : "Analytical" }, { "name" : "Problem-solving" } ], "majorSkills" : "Data analysis, Predictive modeling, BI tools, Data warehouses", "majorSkillsList" : [ "Data analysis", "Predictive modeling", "BI tools", "Data warehouses" ], "coreResponsibilities" : "Shape business strategy, Analyze data, Highlight opportunities, Provide insights, Develop predictive models, Develop forecasting tools, Build decision-making tools, Design datasets, Maintain datasets, Automate datasets, Automate reporting, Automate analytics processes, Communicate findings, Improve data infrastructure, Enhance data quality, Enhance data consistency, Enhance data documentation, Design A tests, Analyze A tests, Analyze experiments", "teamCollaboration" : "Partner with stakeholders; Cross-functional teams; Manage stakeholders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Private market; Marketplace strategy; User data; GTM data sources; Growth strategies", "domainList" : [ "private-market", "marketplace-strategy", "user-data", "gtm-data-sources", "growth-strategies" ], "domainSpecificKnowledge" : [ "Private market", "Marketplace strategy", "User data", "GTM data sources", "Growth strategies" ], "toolProficiency" : [ "SQL", "Python", "Snowflake", "Segment", "Looker", "Heap", "Launch Darkly" ], "communicationSkills" : "Clear narratives; Visualizations; Presentations; Storytelling", "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Structure ambiguous problems; Translate business questions", "specialRequirements" : "Operate computer 8 hours", "outcomesObjectives" : "Influence strategy; Inform decision-making; Support growth; Support product efficiency; Support marketplace strategy; Deliver clear insights; Support long-term growth; Guide product development; Measure impact", "qualificationsBasic" : "4+ years of experience, Expert-level SQL, Proficient in Python, Hands-on BI tools, Hands-on data warehouses, Foundation in experimental design, Foundation in A/B testing, Undergraduate degree", "qualificationsPreferred" : "PhD preferred, Launch Darkly experience, Heap experience", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more. With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth. Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect. Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way. The Role: We are looking to hire a Senior Data Analyst to join our Analytics team. In this role, you will partner with stakeholders across Product, Marketing, Finance, and Senior Leadership to deliver data-driven insights that influence strategy and decision-making across Forge. You will design and execute experiments, build new datasets, automate reporting, develop predictive analytics and attribution models — ultimately shaping how we measure, understand, and grow our marketplace. This is a high-impact individual contributor role, ideal for someone who thrives at the intersection of analytics, product strategy, and organizational impact. Responsibilities: Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction. Develop predictive models and forecasting tools using Python to support growth, product efficiency, and marketplace strategy leveraging internal user data and external GTM data sources. Build decision-making tools by designing, maintaining, and automating datasets, dashboards, and reporting infrastructure in Snowflake, Segment, Looker, and Heap to deliver clear insights that support long-term growth strategies. Automate recurring reporting and analytics processes using Python. Communicate findings through clear narratives, visualizations, and presentations to senior stakeholders. Improve our data infrastructure by identifying opportunities to enhance data quality, consistency, and documentation, enabling scalable, accurate, and reliable analytics across Forge. Design and analyze A/B tests and other experiments in Launch Darkly to guide product development and measure impact. Qualifications: 4+ years of experience in analytics, product analytics, data science or a related field. Expert-level SQL (advanced queries, optimization, and performance tuning). Proficient in Python (2+ years) for data analysis, automation, visualization, and forecasting/modeling. Hands-on experience with BI and data visualization tools, ideally Looker or Tableau, and data warehouses such as Snowflake. Strong foundation in experimental design and A/B testing methodology, preferably with experience in Launch Darkly and Heap. Demonstrated ability to develop predictive models and apply statistical analysis in a business context. Excellent analytical and problem-solving skills, with the ability to structure ambiguous problems and translate business questions into technical analyses. Strong communication and storytelling skills — able to present complex insights in a clear, actionable way to both technical and non-technical audiences. Track record of working cross-functionally and managing multiple stakeholders and priorities. Undergraduate degree in finance, economics, statistics, mathematics, engineering or related field. Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication For residents of San Francisco, CA the annual salary range for this role is $98,000 - $100,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test. Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.", "summaryDescription" : "Senior Data Analyst at Forge Global. Skills: Data analysis, Predictive modeling, BI tools, Data warehouses. Shape business strategy. Analyze data", "postedDate" : "2026-06-14T09:13:57.261", "createdAt" : "2026-06-14T09:13:57.261", "lastUpdated" : "2026-06-15T10:21:07.455", "ingestTimestamp" : "2026-06-14T09:13:57.261", "mongoId" : "6a2ca58374d8ee00a09b6ec2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 98000, "salaryAnnualMax" : 100000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Predictive modeling", "Statistical analysis", "Experimental design", "A/B testing", "Performance tuning", "Automation", "Storytelling", "Analytical", "Problem-solving", "BI tools", "Data warehouses", "Product strategy", "Organizational impact", "Business strategy", "Forecasting", "Growth strategy", "Data quality", "Data consistency", "Data documentation", "Product development", "Business context", "Roadmap planning", "Private market", "Marketplace strategy", "User data", "GTM data sources", "Growth strategies", "SQL", "Python", "Snowflake", "Segment", "Looker", "Heap", "Launch Darkly" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 549.126, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8ae474d8ee00a097146b", "title" : "Senior Tools Programmer", "company" : "Supercell", "industry" : "Live Games", "salary" : { "min" : 75000.0, "max" : 115000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Tools Programmer in Helsinki, Finland, adjusted for seniority and industry." }, "location" : "Helsinki", "locations" : [ "Helsinki" ], "timestamp" : "2026-06-16T06:50:56.212", "fingerprint" : "e675c2b590603cffddf618dfd127e923550b59c900a56563c5fbb81a753f40bc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/supercell/79310a4f-67d2-4772-b107-ef7ea4eb106c/application", "externalId" : "79310a4f-67d2-4772-b107-ef7ea4eb106c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Helsinki", "country" : "Finland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "60.1666204,24.9435408" } ], "locationText" : "Helsinki, Finland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++", "professionalSkills" : [ "System design", "Architecture decisions" ], "hardSkillsList" : [ "Graphics fundamentals", "Coordinate systems", "Transforms", "Blending", "Rendering pipelines", "Animation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Graphics fundamentals", "level" : "intermediate" }, { "name" : "Coordinate systems", "level" : "intermediate" }, { "name" : "Transforms", "level" : "intermediate" }, { "name" : "Blending", "level" : "intermediate" }, { "name" : "Rendering pipelines", "level" : "intermediate" }, { "name" : "Animation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Art pipelines, Tools programming, Desktop software", "majorSkillsList" : [ "Art pipelines", "Tools programming", "Desktop software" ], "coreResponsibilities" : "Develop art pipeline tools, Ship features in tools, Contribute to architecture decisions, Contribute to technical decisions, Design data models, Design file formats, Design UI, Design rendering, Understand artist workflow pain, Turn pain into tools, Ship cross-platform software, Make experience native, Collaborate with engine teams, Collaborate with game teams", "teamCollaboration" : "Art pipeline tools; Engine teams; Game teams", "projectManagementSkills" : [ "Feature delivery" ], "domainKnowledge" : "Art pipelines; Creative tools; Content-creation tools; Game engine development; 3D engine development", "domainList" : [ "art-pipelines", "creative-tools", "content-creation-tools", "game-engine-development", "3d-engine-development" ], "domainSpecificKnowledge" : [ "Art pipelines", "Creative tools", "Content-creation tools", "Game engine development", "3D engine development" ], "toolProficiency" : [ "Copilot", "Cursor", "Claude", "Dear ImGui" ], "communicationSkills" : "Communicate clearly", "documentationSkills" : "Good documentation hygiene", "problemSolvingSkills" : "Bug fixes", "outcomesObjectives" : "Tools artists reach for first; Shorter iteration loops; Codebase teammates gladly inherit", "qualificationsBasic" : "Professional C++ experience, Desktop UI development experience, Cross-platform desktop software shipping, Graphics fundamentals understanding, Codebase dependency experience, AI development tools daily workflow", "qualificationsPreferred" : "Understanding of art pipelines, Background in art/animation, Experience in animation systems, Experience building creative tools, Familiarity with immediate-mode UI, Game engine development experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "[https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/342463ad-3169-45e8-97fa-1f351378cdba/wallpapaer_onceuponabrawl_6.jpeg] WE ARE LOOKING FOR A SENIOR TOOLS PROGRAMMER TO JOIN OUR NEWLY FORMED ART PIPELINES TEAM, SHAPING THE TECHNOLOGY THAT SUPPORTS OUR ARTISTS ACROSS GAME TEAMS. The Art Pipelines team is a small, growing group building art pipelines and pipeline tools that fit the way our artists work. The work is a mix of design and architecture on systems we’re building from the ground up, plus the day-to-day feature delivery, bug fixes, and tickets that come with running a tool team. You’ll have meaningful input on how these tools are structured, how they ship, and how they grow. We expect you to care about the people using the tools as much as the code that runs them. If this sounds like you, and you’re interested in finding out if Supercell would be a great fit for you, hit that apply button. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/7a053edc-bf2e-4db4-85ee-5630e2b5d305/banner_narrow_customs.jpg] WHAT YOU'LL BE DOING - Develop and ship features in art pipeline tools used by artists across our game teams. - Contribute to architecture and technical decisions on subsystems you build, from data models and file formats to UI and rendering. - Work directly with artists to understand their workflow pain, and turn it into tools that make their day shorter and their work better. - Ship cross-platform on Windows and macOS, and make the experience feel native and solid on both. - Collaborate with engine and game teams on the pipeline boundary. WHAT YOU HAVE - Strong professional experience with C++ in production environments. - Proven experience building desktop user interface, and a clear sense of how to structure a non-trivial user interface. - Experience shipping cross-platform desktop software on Windows and macOS, and you know where the pain points are. - Solid understanding of graphics fundamentals: coordinate systems, transforms, blending, rendering pipelines, animation. - Experience working in a codebase that others depend on: clean APIs, good documentation hygiene, code review discipline. - AI development tools (Copilot, Cursor, Claude, etc.) are part of your daily workflow. We treat them as productivity tools, not shortcuts to avoid. - Ability to communicate clearly with both technical and non-technical people. - Driven, focused, and willing to see projects through delivery. - A genuine desire to help others produce their best work. WOULD BE NICE IF YOU ALSO HAVE - Understanding of art pipelines and the day-to-day processes artists work through: what gets exported, where things break, what slows people down. - A background or hands-on experience in art, animation, or another creative discipline. - Background in animation systems: keyframing, interpolation, curve editors, timelines. - Prior experience building creative or content-creation tools, not just end-user applications. - Familiarity with immediate-mode UI frameworks (e.g. Dear ImGui) for in-engine tooling, debug overlays, and rapid prototyping. - Game engine or 3D engine development experience. WHY THIS ROLE MATTERS Our artists make content for live games played on a global scale. The tools they use every day shape what’s possible, and what’s painful. Success in this role means: - Tools that artists reach for first. - Shorter iteration loops between an idea and what ships in-game. - A codebase that your future teammates will gladly inherit. WHERE YOU'LL BE The team is based in our Helsinki office, which is the preferred location for this role as well. ––– That's it about the role! Below, we've gathered some things we feel are important for you to know. Totally optional, but a highly recommended read. Once you're ready to apply, just send us your application through the form on the bottom of the page. ––– [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/88b3477a-7124-479e-babc-94125c5b23be/banner_narrow_allstars.jpg] ABOUT SUPERCELL Supercell is a games company from Helsinki, Finland, with offices https://supr.cl/jd-offices also in San Francisco, Seoul, Shanghai, and London. You might know us as the makers of Hay Day, Clash of Clans, Boom Beach, Clash Royale, and Brawl Stars. Our mission is to create great games https://supr.cl/jd-games that as many people as possible play for years and that are remembered forever. So, how do we make great games? By putting together the best teams and giving them the freedom and independence to succeed. And by taking risks, failing, sharing learnings https://supercell.com/en/news/learning-from-failures/, and killing lots of projects. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/0272a5b3-a7a2-4f1c-b97b-725eae66daf0/banner_narrow_people3.jpg] HEY, YOU MIGHT LOVE IT HERE! Independent cells and trust are at the core of our culture https://supr.cl/jd-why-you. But it takes more than that to make great games. We take good care of our people, providing them with the compensation, work environment, and resources they need to succeed while having fun along the way. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/49ae2117-cfbb-4fbd-bc4c-f67357d2f376/banner_narrow_titles.jpg] YOU ARE NOT YOUR JOB TITLE ™ Here, you won’t need to focus on chasing titles https://supr.cl/jd-job-title or climbing ladders. Internally, our job titles don’t include prefixes like Senior, Junior, Principal, or Director. Recognition isn’t tied to your title, as it doesn't define the impact you can have around here. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/860d5de4-aa96-4e01-879c-889b7039330b/banner_narrow_chest.jpg] BENEFITS AND COMPENSATION Luring you in with glitter, glamour, and gems isn't what we're about. We want you to enjoy your time here fully, so we structure our compensation and benefits https://supr.cl/jd-benefits with that in mind. It starts with perceiving you as a human being, not a resource. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/b52ac2fb-3f94-46bc-9c36-32ad780b2eae/banner_narrow_relocating.jpg] RELOCATION? YES! No matter where you’re moving from, our dedicated mobility team and partners will support you throughout your move. We’ll ensure the process is as smooth as possible for you and anyone joining you – whether they’re family members of the human or animal kind! [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/58a0cf4e-e26b-461b-8541-2129dc6b7311/banner_narrow_portraits-2025-ashby.jpg] NOT SURE IF YOU SHOULD APPLY? Many candidates with great skills and experience second-guess themselves. The bar is high, but if this role excites you, apply! We’re here to help you succeed. Also, we're happy to learn about any specific accommodations you may need to fully engage in our recruitment process. Wishing you all the best, The Supercell Recruitment team", "summaryDescription" : "Senior Tools Programmer at Supercell. Skills: Art pipelines, Tools programming, Desktop software. Develop art pipeline tools. Ship features in tools", "createdAt" : "2026-06-14T20:12:09.543", "lastUpdated" : "2026-06-16T06:50:56.212", "ingestTimestamp" : "2026-06-14T20:12:09.543", "mongoId" : "6a2c8ae474d8ee00a097146b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Graphics fundamentals", "Coordinate systems", "Transforms", "Blending", "Rendering pipelines", "Animation", "Leadership", "Art pipelines", "Tools programming", "Desktop software", "System design", "Architecture decisions", "Feature delivery", "Creative tools", "Content-creation tools", "Game engine development", "3D engine development", "Copilot", "Cursor", "Claude", "Dear ImGui" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 543.7691, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3078d1f292fd229c02cf2a", "title" : "Data Analyst", "company" : "ixigo", "industry" : "Internet", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Junior Data Analyst in Gurugram, India, with adjustments for the technology industry and entry-level experience." }, "location" : "Gurugram/ Bengaluru, IN", "locations" : [ "Gurugram/ Bengaluru", "IN" ], "certifications" : [ "Certification in data analysis" ], "timestamp" : "2026-06-16T11:35:29.286", "fingerprint" : "deac1b6799e487c8c4c7df4074ab268a2e3dafdd678aa391336f907175ae73a6", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ixigo/744000132149149-data-analyst", "externalId" : "744000132149149", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" }, { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Gurugram, India; Bengaluru, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "technicalSkills" : "SQL, DWB, ETL, Python, R, Tableau, Power BI, Looker, Google Analytics, Amplitude, Mixpanel, Clevertap, Cursor, N8n", "professionalSkills" : [ "Product analytics", "Business analytics", "Decision sciences", "Data extraction", "Data analysis", "Data visualization", "Stakeholder management", "Database development", "Data system development", "ETL processes" ], "hardSkillsList" : [ "Query scripting", "Statistical methods", "Machine learning concepts", "Regression", "Classification", "Clustering", "Anomaly detection", "A/B testing analysis" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Business acumen" ], "hardSkills" : [ { "name" : "Query scripting", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning concepts", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "A/B testing analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Business acumen" } ], "majorSkills" : "Data analysis, SQL, Data visualization, Product analytics", "majorSkillsList" : [ "Data analysis", "SQL", "Data visualization", "Product analytics" ], "coreResponsibilities" : "Write complex queries, Extract data from data warehouse, Analyze data to identify trends, Analyze data for patterns, Analyze data for correlations, Create data visualizations, Create reports, Communicate insights to stakeholders, Collaborate with cross-functional teams, Inform product decisions, Develop databases, Maintain databases, Develop data systems, Maintain data systems, Develop ETL processes, Maintain ETL processes, Stay up-to-date with industry trends, Stay up-to-date with emerging technologies", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Product analytics; CRM tools; CDP tools; A/B testing design; Statistical methods; Machine learning concepts", "domainList" : [ "product-analytics", "crm-tools", "cdp-tools", "a-b-testing-design", "statistical-methods", "machine-learning-concepts" ], "domainSpecificKnowledge" : [ "Product analytics", "CRM tools", "CDP tools", "A/B testing design", "Statistical methods", "Machine learning concepts" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Google Analytics", "Amplitude", "Mixpanel", "Clevertap", "Cursor", "N8n" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Safeguarding sensitive company data", "outcomesObjectives" : "Drive product growth; Drive customer satisfaction", "qualificationsBasic" : "1-3 years of experience, Expert proficiency in SQL, Bachelor's degree in Computer Science, Statistics, or related field, Minimum 1-2 years of hands-on experience in product analytics, business analytics, decision sciences, or a related role", "qualificationsPreferred" : "Familiar with user survey tools, Collecting user surveys, Experience with programming languages (Python, R), Certification in data analysis or related field, Master’s degree in Engineering, Statistics, Economics, Data Science, or a related quantitative field, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo (Le Travenues Technology Limited) is a technology company focused on empowering Indian travellers to plan, book and manage their trips across rail, air, buses and hotels. ixigo assists travellers in making smarter travel decisions by leveraging artificial intelligence. The ixigo, ConfirmTkt and AbhiBus apps allow travellers to book train tickets, flight tickets, bus tickets, hotels, and cabs, and provide travel utility tools and services developed using in-house proprietary algorithms and crowd-sourced information. With over 54 crore Annual Active Users in Fiscal 2025, ixigo is the leading OTA for Next Billion Users in India. For more information, please visit http://www.ixigo.com We're seeking a detail-oriented and analytical Product Analyst/ Data Analyst to join our team. As a Product Analyst (Data Insights), you will use your expertise in query scripting languages (e.g., SQL, DWB, ETL) to extract insights from our data warehouse, analyze customer behaviour, and inform product decisions. Your goal will be to turn data into actionable recommendations that drive product growth and customer satisfaction.Responsibilities: * Write complex queries using various scripting languages (e.g., SQL, DWB, ETL) to extract data from our data warehouse * Analyze data to identify trends, patterns, and correlations * Create data visualizations and reports to communicate insights to stakeholders * Collaborate with cross-functional teams to inform product decisions * Develop and maintain databases, data systems, and ETL processes * Stay up-to-date with industry trends and emerging technologie Requirements: * 1-3 years of experience in a Product Analyst or similar role * Expertise in query scripting languages (e.g., SQL, DWB, ETL) * Experience with data visualization tools (e.g., Tableau, Power BI) * Strong analytical and problem-solving skills * Excellent communication and stakeholder management skills * Bachelor's degree in Computer Science, Statistics, or related field Nice to Have: * Familiar with user survey tools and collecting user surveys * Experience with programming languages (e.g., Python, R) * Certification in data analysis or related field ## Qualifications * Education: Bachelor’s/Master’s degree in Engineering, Statistics, Economics, Data Science, or a related quantitative field. * Experience: Minimum 1-2years of hands-on experience in product analytics, business analytics, decision sciences, or a related role. * Technical Skills: * Expert proficiency in SQL for complex data extraction and manipulation from large datasets. * Strong command of Python or R for advanced analysis, statistical modeling, and task automation. * Advanced proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) to create impactful, self-service dashboards. * Experience with AI tools e.g. Cursor, n8n for quick prototype, automation and development using AI * Domain Knowledge: * Experience with product analytics and CRM/CDP tools (e.g., Google Analytics, Amplitude, Mixpanel, Clevertap). * Practical experience in designing and analyzing A/B tests. * Analytical Acumen: * Familiarity with statistical methods and machine learning concepts (e.g., regression, classification, clustering, anomaly detection). * Excellent analytical and problem-solving skills with a proven ability to turn data into tangible business impact. * Soft Skills: * Strong business acumen and a passion for understanding user behavior. * Excellent communication and presentation skills, with the ability to explain complex analyses to non-technical stakeholders. ## Additional Information Responsible for safeguarding sensitive company data against unauthorized access, use, or disclosure, and for reporting any suspected security incidents in line with the organization's ISMS (Information Security Management System) policies and procedures.", "summaryDescription" : "Data Analyst at ixigo. Skills: Data analysis, SQL, Data visualization, Product analytics. Write complex queries. 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Gaming", "domainList" : [ "sports", "gaming" ], "domainSpecificKnowledge" : [ "Sports", "Gaming" ], "toolProficiency" : [ "Metabase" ], "communicationSkills" : "Client reporting; Shareholder reporting", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Drive growth of core products", "qualificationsBasic" : "2+ years experience, Excellent SQL, Excellent BI tools, Excellent data visualization tools, Familiarity with Python, Familiarity with ETL, Familiarity with Airflow, Understanding of relational databases, Understanding of data warehouse", "qualificationsPreferred" : "Python experience, Airflow experience, AWS experience, Metabase experience, Redshift experience, Linux experience, Gaming industry knowledge, Machine learning experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "What you'll be doing Set up and execute extract, transformation, and load (ETL) functions to build a data pipeline Extraction and analysis of large data sets from MySQL Performance tuning for current and newly added queries to the databases, ensuring the database resources are fully utilized Delivering clear analysis and reporting of core business metrics to shareholders Creation and management of reports and dashboards Data management Enhance and optimize existing reporting processes Ad hoc analysis and reporting to clients and shareholders Aid in reconfiguring existing architecture and database structure to address our shareholder's evolving needs Daily maintenance and monitoring of all BI-related databases and dashboards, including proficient handling of emergencies Providing actionable insight to drive the growth of core products Our Stack MySQL (Must) Python (Good to have) AirFlow (Good to have) AWS (Good to have) Metabase (Good to have) Redshift (Good to have) Linux (Good to have) What you'll bring 2+ years experience in a similar data-driven role Excellent working knowledge of SQL Excellent working knowledge of BI and data visualization tools Familiarity with Python Familiarity with ETL data pipeline Familiarity with Airflow Understanding of principles of relational databases and data warehouse Strong understanding of sports and gaming will be beneficial Proactive and self-driven with excellent analytical skills Ability to thrive in a fast paced and dynamic environment Great communication skills Relevant knowledge or experience in the gaming industry Nice to have hands-on experience with machine learning If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.", "summaryDescription" : "Data Analyst at OpenNet. Skills: Data analysis, SQL, ETL, BI tools", "postedDate" : "2026-06-13T21:28:36.695", "createdAt" : "2026-06-13T21:28:36.695", "lastUpdated" : "2026-06-15T06:21:54.183", "ingestTimestamp" : "2026-06-13T21:28:36.695", "mongoId" : "6a2c94c374d8ee00a098b815", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "SQL", "ETL", "Data warehousing", "Relational databases", "Self-driven", "Analytical skills", "Communication skills", "Data analysis", "BI tools", "Reporting", "Data management", "Architecture design", "Sports", "Gaming", "Metabase" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 535.63135, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69def2ea2beec4dd3db85fe2", "title" : "Data Analyst", "company" : "Office of the State Auditor", "industry" : "Government", "salary" : { "min" : 74374.0, "max" : 111561.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Massachusetts-Boston", "locations" : [ "Massachusetts-Boston", "Administrative Services", "Office of the State Auditor, Full-time, Full-time" ], "timestamp" : "2026-06-15T10:21:00.010", "fingerprint" : "1254b22e41134819c571f0eb84ecc59300447337665078d3948a35d24e4ad44e", "source" : "taleo", "language" : "en", "applyUrl" : "https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=1082496", "externalId" : "1082496", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "technicalSkills" : "SQL, T-SQL, SSMS, Excel, R, Python", "professionalSkills" : [ "Data analysis", "Data visualization", "Data modeling", "Relationship management", "Customer service" ], "hardSkillsList" : [ "Data acquisition", "Data collection", "Data discovery", "Statistical analysis", "Linear regression", "Logical regression", "Factor analysis", "Discriminant analysis", "Cluster analysis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Data acquisition", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data discovery", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Linear regression", "level" : "intermediate" }, { "name" : "Logical regression", "level" : "intermediate" }, { "name" : "Factor analysis", "level" : "intermediate" }, { "name" : "Discriminant analysis", "level" : "intermediate" }, { "name" : "Cluster analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Data analysis, Data visualization, SQL, Excel", "majorSkillsList" : [ "Data analysis", "Data visualization", "SQL", "Excel" ], "coreResponsibilities" : "Understand data structure, Understand metadata, Develop SQL queries, Extract information, Manipulate information, Summarize information, Assist analysis of data, Draw correct inferences, Work with agency stakeholders, Review requests for service, Review requests for assistance, Translate data service requirements, Summarize data, Calculate data, Model data, Assist mentoring analysts, Ensure compliance HIPAA, Ensure compliance Federal data policies, Ensure compliance State data policies, Interface with audit teams, Assist analysis of audits, Analyze complex data, Identify anomalies, Identify trends, Identify risk, Address ad-hoc analytics requests, Support data acquisition, Support data collection, Support data discovery, Prepare written summaries, Manage relationships, Establish cross functional interaction, Explain data indications, Explain results indications, Assist with presentations, Present across management levels, Present across teams, Create narratives with data, Maintain up-to-date skills", "teamCollaboration" : "Agency stakeholders; Audit teams; External organizations; Business managers; IT specialists; Cross functional interaction", "domainKnowledge" : "HIPAA; Federal data policies; State data policies; Public policy context", "domainList" : [ "hipaa", "federal-data-policies", "state-data-policies", "public-policy-context" ], "domainSpecificKnowledge" : [ "HIPAA", "Federal data policies", "State data policies", "Public policy context" ], "toolProficiency" : [ "SSMS", "Qlik", "Cognos", "ArcGIS", "Tableau", "Excel" ], "communicationSkills" : "Written presentations; Oral presentations; Executive presentations", "documentationSkills" : "Supporting documentation; Proper documentation", "continuousLearning" : "New languages; New tools; New technologies", "problemSolvingSkills" : "Data analysis; Data interpretation", "qualificationsBasic" : "Bachelor's Degree related discipline, Demonstrated T-SQL writing, Demonstrated data analysis tools, Ability to work large datasets, Knowledge of data analysis techniques, Advanced Excel capabilities, Knowledge of data analytics, Knowledge of data modeling, Knowledge of data visualization, Exposure to database concepts, Excellent written communication skills, Excellent verbal communication skills, Ability to read English, Ability to write English, Ability to comprehend English, Solid customer service skills, Solid relationship management skills, Proven ability to work autonomously, Proven ability to work in teams, Experience with relational database structures, Experience with multidimensional data structures", "qualificationsPreferred" : "Three years job experience, Build effective relationships, Use analytical techniques, Experience with social network visualization, Experience in data mining, Analytics software languages experience, Experience with statistical analysis, Translate quantitative analysis non-technical audience, Understanding effective data analytics utilization, Proficient in SQL, Experience using data public policy", "remoteFriendly" : false, "rawDescription" : "SALARY RANGE (Grade 13) CSA229: $74,374.37/yr. -- $111,561.54/yr. (Commensurate with experience) GENERAL STATEMENT OF DUTIES The Data Analyst engages in projects to address key information needs of the OSA and enhance the OSA’s efforts to assimilate data analytics into its work processes. Data Analyst is responsible for extracting, aggregating and visualizing critical data to derive value and insights to support the work of the OSA. SUPERVISION RECEIVED Receives general supervision and direction from the Director of Data Analytics. SUPERVISION EXERCISED Provides technical supervision over 1-3 contract personnel on an as needed or project basis. DUTIES AND RESPONSIBILITIES · Understand the data structure and metadata available in all OSA technical environments. · Develop SQL queries to extract, manipulate, and summarize information. · Assist team members in analysis of given data and draw correct inferences, in keeping the objectives of the analysis in mind. · At management direction work with agency stakeholders on content clarity and meeting technical requirements. · Review requests for service / assistance created by other OSA business units for quality and proper documentation. · Translate data service requirements and summarize, calculate or model data using OSA standard tools. · Assist Data Analyst II with mentoring analysts from other business units on analytic practices and the use of the OSA’s analytic tool set. · Ensure compliance with HIPAA and other Federal and State required data policies/best practices. · Interface with audit teams and external organizations assisting in the analysis of audits. · Analyze complex internal / external data, identify anomalies, trends and risk. · Address ad-hoc analytics requests to support projects. · Support and perform data acquisition/data collection and data discovery. · Prepare written summaries with supporting documentation/data readily available to accompany results of analyses. · Manage relationships and establish proactive cross functional interaction with auditors, business managers and IT specialists. · Explain clearly what the data and results indicate and how it can be utilized to support the project objectives. · Assist teams with oral and written presentations to internal or external entities during and at the conclusion of projects. · Present across multiple levels of management and teams with strong comprehension of multi-domains to create narratives with data. · Maintain up to-date skills of new languages, tools and technologies. MINIMUM QUALIFICATIONS The successful candidate will possess and/or demonstrate: · A Bachelor’s Degree in a related discipline (Finance / Accounting, Statistics, Economics, etc.). · Demonstrated ability in writing T-SQL and using SSMS or other query tools. · Demonstrated ability in data analysis and visualization tools (Qlik, Cognos, ArcGIS, Tableau). · Ability to work with large datasets. · Knowledge of data analysis techniques. · Highly organized with attention to detail. · Flexibility to meet continuously changing priorities and challenges. · Advanced Excel capabilities and related data manipulation required. · Knowledge of data analytics, data modeling and data visualization. · Advanced Excel capabilities (i.e. pivot tables, VLOOKUP function, graphing). · Ability to visualize the analytics results in effective manner. · Exposure to database concepts to help acquire, query and maintain the data environment (MS SQL or others). · Excellent written and verbal communication skills. · Ability to read, write and comprehend the English language. · Solid customer service and relationship management skills. · Proven ability to work autonomously and in teams. · Experience with relational database structures and multidimensional data structures. PREFERRED QUALIFICATIONS Demonstrated experience and expertise in the following areas will also be important considerations: · A minimum of three years of job experience in a similar role. · Demonstrated ability to build effective relationships across diverse internal and external groups. · Ability to use analytical techniques such as critical and conceptual thinking to objectively analyze situations. · Experience with social network visualization tools. · Experience in data mining. · A degree in accounting or finance or relevant experience a plus. · Experience in analytics software languages (R, Python or others). · Experience with statistical analysis such as linear regression, logical regression, factor analysis, discriminant analysis and cluster analysis. · Experience translating complex quantitative analysis to a non-technical audience. · Strong understanding of the effective utilization of data analytics. · Proficient in SQL and demonstrated ability in data analysis, business intelligence and visualization tools i.e. QlikView/Sense, Tableau or alternative data visualization package. · Experience using data in a public policy context. Salary is commensurate with experience. The Office of the State Auditor is committed to providing equal employment opportunities. Employment actions such as recruiting, hiring, training, and promoting individuals are based upon a policy of non-discrimination. Employment decisions and actions are made without regard to race, color, gender, religion, age, national origin, ancestry, sexual orientation, gender identity and expression, disability, military status, genetic information, political affiliation, or veteran’s status. Data Analyst I", "summaryDescription" : "Data Analyst at Office of the State Auditor. Skills: Data analysis, Data visualization, SQL, Excel. Understand data structure. Understand metadata", "createdAt" : "2026-06-14T07:54:03.407", "lastUpdated" : "2026-06-15T10:21:00.010", "ingestTimestamp" : "2026-06-14T07:54:03.407", "mongoId" : "69def2ea2beec4dd3db85fe2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 74374, "salaryAnnualMax" : 111561, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data acquisition", "Data collection", "Data discovery", "Statistical analysis", "Linear regression", "Logical regression", "Factor analysis", "Discriminant analysis", "Cluster analysis", "Critical thinking", "Data analysis", "Data visualization", "SQL", "Excel", "Data modeling", "Relationship management", "Customer service", "HIPAA", "Federal data policies", "State data policies", "Public policy context", "SSMS", "Qlik", "Cognos", "ArcGIS", "Tableau" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 533.8278, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c91e974d8ee00a098452d", "title" : "Senior Counsel (Complex Trial)", "company" : "Tyson & Mendes LLP", "industry" : "Legal", "salary" : { "min" : 150000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "certifications" : [ "State Bar admission" ], "timestamp" : "2026-06-16T06:38:36.069", "fingerprint" : "4d80bdd77a82f087e3f4c4308d4b54d0b5b9d99e8769fc3e7bb492305aafe079", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tysonmendesllp/jobs/5253963008", "externalId" : "5253963008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Legal analysis", "Trial strategy", "Case management" ], "hardSkillsList" : [ "Complex litigation", "Pleading drafting", "Discovery management", "Motion practice", "Trial preparation", "Legal research" ], "hardSkills" : [ { "name" : "Complex litigation", "level" : "intermediate" }, { "name" : "Pleading drafting", "level" : "intermediate" }, { "name" : "Discovery management", "level" : "intermediate" }, { "name" : "Motion practice", "level" : "intermediate" }, { "name" : "Trial preparation", "level" : "intermediate" }, { "name" : "Legal research", "level" : "intermediate" } ], "majorSkills" : "Complex trial, Litigation, Legal strategy", "majorSkillsList" : [ "Complex trial", "Litigation", "Legal strategy" ], "coreResponsibilities" : "Manage complex litigation caseload, Draft pleadings and motions, Conduct discovery, Prepare for and attend trials, Analyze legal issues, Develop case strategy, Advise clients on legal matters, Negotiate settlements", "teamCollaboration" : "Work with partners; Collaborate with associates; Coordinate with support staff", "projectManagementSkills" : [ "Case management" ], "domainKnowledge" : "Civil procedure; Evidence rules; Torts; Contracts", "domainList" : [ "civil-procedure", "evidence-rules", "torts", "contracts" ], "domainSpecificKnowledge" : [ "Civil procedure", "Evidence rules", "Torts", "Contracts" ], "toolProficiency" : [ "Westlaw", "LexisNexis", "Microsoft Office Suite" ], "communicationSkills" : "Client communication; Courtroom advocacy; Legal writing", "documentationSkills" : "Legal document drafting", "problemSolvingSkills" : "Legal problem solving", "specialRequirements" : "Occasional travel", "outcomesObjectives" : "Achieve favorable case outcomes; Manage caseload efficiently", "qualificationsBasic" : "5+ years of complex trial experience, Admission to the State Bar", "qualificationsPreferred" : "Experience with e-discovery platforms, Knowledge of Medicare Secondary Payer Act", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Tyson & Mendes – Senior Counsel, Complex Trial Teams Where Insurance Defense Meets Innovation Please note: An active bar license in the State of New York is required. At Tyson & Mendes, we don’t just litigate—we lead. As a national force in insurance defense and trial advocacy, we’re known for our bold mission to stop Nuclear Verdicts® and our results-driven approach to high-exposure litigation. We are expanding our Complex Trial Teams and seeking accomplished Senior Counsel ready to make an impact in the courtroom and beyond. If you are an experienced trial lawyer who thrives on complex, high-stakes cases, values strategy over spectacle, and wants to be part of a team that is reshaping the future of civil defense—this is your opportunity. Why Tyson & Mendes? Lead with Impact – As Senior Counsel on our Complex Trial Team, you’ll take the reins on challenging, high-value matters with the support and trust of a firm built for trial success. Elite Training + Resources – From our Trial Academy to dedicated jury research and litigation support, we equip you with everything you need to succeed at the highest level. Stability + Momentum – Join a financially strong, nationally scaled firm with an agile, no-silos culture that prioritizes long-term success over short-term wins. Authentic Inclusion – At Tyson & Mendes, diverse perspectives and lived experiences are essential to our approach, our outcomes, and our culture. Results Matter, Not Where You Work – Office-based, hybrid, or remote—we focus on performance and outcomes, not location. Who You Are You are a trial-tested litigator with a defense-first mindset and the strategic acumen to lead complex cases from start to finish. You bring gravitas in the courtroom, confidence in depositions, and clarity in client communication. You think like a tactician, mentor with purpose, and uphold the highest standards of ethics and advocacy. With a deep understanding of high-exposure civil litigation—especially in areas like catastrophic injury, wrongful death, or construction defect—you are ready to take the next step in your leadership and litigation career. Make Your Move. Be part of something bigger—join Tyson & Mendes and help shape the future of insurance defense. Apply today. We’re ready for your best. Responsibilities Lead Complex Trials: Represent clients in high-exposure and complex insurance defense cases, including cases involving catastrophic injury, wrongful death, property damage, and professional liability Case Strategy and Planning: Develop and execute case strategies, including risk assessment, discovery, motion practice, and trial preparation Client Advisement: Work closely with clients, insurance carriers, and adjusters to provide clear legal advice, case assessments, and updates on case developments Litigation Management: Oversee all stages of litigation, including pleadings, discovery, depositions, pre-trial motions, and settlement negotiations Courtroom Representation: Serve as lead counsel in jury trials, bench trials, and mediations, presenting cases effectively and persuasively Team Leadership and Mentorship: Supervise and mentor junior attorneys, paralegals, and support staff, ensuring high-quality work and compliance with best practices Collaboration with Experts: Collaborate with expert witnesses, including medical, forensic, engineering, and economic experts, to strengthen case arguments Requirements Juris Doctor (JD) from an accredited law school Active license to practice law in New York and eligibility to practice in federal courts 8+ years of experience in insurance defense litigation with a strong focus on complex trial work Demonstrated success as lead trial counsel in multiple high-stakes cases Strong knowledge of civil procedure, tort law, insurance law, and trial strategies Proven ability to manage and prioritize a large, demanding caseload with limited oversight Exceptional oral advocacy, legal writing, and negotiation skills Strong client relationship management skills with an ability to communicate complex legal strategies effectively Background in catastrophic injury, construction defect, or professional liability cases preferred Experience with e-discovery tools and case management software Membership in local or national trial lawyer associations is a plus Compensation Package The base salary for this position ranges from $150,000-$200,000 annually, depending on experience and qualifications Attorneys are eligible for an annual billable hours bonus ranging from $10,000 and then aggregating with $7,500 for every additional tier Comprehensive benefits coverage offered, including plans available at zero employee cost (average annual employer contribution for health/vision/dental/life coverage is $700-$1,700) Employees benefit from a 401(k) program that includes a 100% match on the first 3% contributed and a 50% match on the following 4-5% Student loan repayment assistance or 529 college savings plan (full-time attorneys after one year with the firm) $100-$200/month Paid parental leave at base pay Employees receive a monthly technology reimbursement of $60 Benefits Employee Assistance Program through HealthAdvocate Comprehensive in-house training and leadership development opportunities Firm Provided CLE Programs and Paid Bar License Renewal Fees Flexible vacation policy for attorneys Defined pathway to partnership Internal diversity and inclusion programs, such as the Women’s Initiative and Young Professionals Initiative Firm-wide charitable giving program Numerous social and off-site events each year to enrich your relationships with your colleagues About Tyson & Mendes Click here to learn more about the Tyson & Mendes Office! (944) The Tyson & Mendes Office - YouTube We’re one of the fastest-growing civil defense firms in the country—known for breaking the mold of the traditional law firm. Our dynamic, diverse team of trial attorneys delivers exceptional results, from landmark cases like Howell v. Hamilton Meats to numerous defense verdicts across the nation. But we don’t stop at great legal work—we invest in our people. With specialized training in our proven defense methods, clear paths to leadership, and robust professional development, we empower attorneys to grow their careers, build their personal brands, and become leaders in the field. Follow along with the firm on Twitter and LinkedIn or visit www.tysonmendes.com. Equal Opportunity Employer Notice OK, now for the legal copy (we are a law firm, after all). It is Tyson & Mendes’ policy to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit-based factors. By the way, if you read all of this, congratulations – we can already tell your attention to detail is exceptional. NOTICE TO APPLICANTS/EMPLOYEES OF TYSON & MENDES: Please take notice that the Firm collects certain information about you. For more information on the Firm’s policies, please refer to the document provided here. No recruiters/agencies #li-hybrid Pay Range $150,000—$200,000 USD", "summaryDescription" : "Senior Counsel (Complex Trial) at Tyson & Mendes LLP. Skills: Complex trial, Litigation, Legal strategy. Manage complex litigation caseload. Draft pleadings and motions", "postedDate" : "2026-06-14T21:33:01.842", "createdAt" : "2026-06-14T21:33:01.842", "lastUpdated" : "2026-06-16T06:38:36.069", "ingestTimestamp" : "2026-06-14T21:33:01.842", "mongoId" : "6a2c91e974d8ee00a098452d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Complex litigation", "Pleading drafting", "Discovery management", "Motion practice", "Trial preparation", "Legal research", "Complex trial", "Litigation", "Legal strategy", "Legal analysis", "Trial strategy", "Case management", "Civil procedure", "Evidence rules", "Torts", "Contracts", "State Bar admission", "Westlaw", "LexisNexis", "Microsoft Office Suite" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 533.3198, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb06574d8ee00a09d9d3a", "title" : "Product lead & Data Analyst", "company" : "Labhouse", "industry" : "Product Management", "salary" : { "min" : 32000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Product Lead & Data Analyst in Barcelona, Spain, with mid-level experience in the technology industry." }, "location" : "Barcelona", "locations" : [ "Barcelona" ], "timestamp" : "2026-06-16T07:02:45.460", "fingerprint" : "1082fc524f925de99d723067b5de0d012206bf77203026baafdec241f4a2ad53", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/labhouse/42a27830-173f-4748-807f-5e0b1c297b97/application", "externalId" : "42a27830-173f-4748-807f-5e0b1c297b97", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Mid", "technicalSkills" : "SQL, AI", "professionalSkills" : [ "Product mindset", "Data-informed decisions" ], "hardSkillsList" : [ "Statistics", "Experimentation", "Product metrics", "Activation metrics", "Retention metrics", "Monetization metrics", "LTV metrics", "A/B testing", "Onboarding flows", "Monetization experiments", "Product hypotheses", "Roadmap priorities", "AI tools" ], "hardSkills" : [ { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Product metrics", "level" : "intermediate" }, { "name" : "Activation metrics", "level" : "intermediate" }, { "name" : "Retention metrics", "level" : "intermediate" }, { "name" : "Monetization metrics", "level" : "intermediate" }, { "name" : "LTV metrics", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Onboarding flows", "level" : "intermediate" }, { "name" : "Monetization experiments", "level" : "intermediate" }, { "name" : "Product hypotheses", "level" : "intermediate" }, { "name" : "Roadmap priorities", "level" : "intermediate" }, { "name" : "AI tools", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Data analysis, Experimentation, AI tools", "majorSkillsList" : [ "Product strategy", "Data analysis", "Experimentation", "AI tools" ], "coreResponsibilities" : "Ideate new mobile apps, Validate new mobile apps, Launch new mobile apps, Drive product decisions using data, Drive product decisions using experimentation, Drive product decisions using user insights, Define metrics that matter, Track metrics that matter, Design A/B tests, Analyze A/B tests, Design onboarding flows, Analyze onboarding flows, Design monetization experiments, Analyze monetization experiments, Translate raw data into hypotheses, Translate raw data into roadmap priorities, Collaborate with engineering, Collaborate with design, Collaborate with marketing, Ship fast, Iterate faster, Leverage AI tools for research, Leverage AI tools for prototyping, Leverage AI tools for decision-making", "teamCollaboration" : "Cross-functional collaboration; Engineering; Design; Marketing", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Mobile technology; AI; Product-driven growth; Experimentation; Performance marketing; Subscription business model; AI & Productivity Apps", "domainList" : [ "mobile-technology", "ai", "product-driven-growth", "experimentation", "performance-marketing", "subscription-business-model", "ai-productivity-apps" ], "domainSpecificKnowledge" : [ "Mobile technology", "AI", "Product-driven growth", "Experimentation", "Performance marketing", "Subscription business model", "AI & Productivity Apps" ], "communicationSkills" : "Simplify complex data; Product narratives", "innovationCreativity" : "Prototyping", "problemSolvingSkills" : "Data analysis; Root cause analysis", "outcomesObjectives" : "Ship products that scale", "qualificationsBasic" : "Degree in quantitative or technical field, 2–4 years of experience as Data Scientist, 2–4 years of experience as Data Engineer, 2–4 years of experience as Data Analyst, Solid analytical foundation, SQL proficiency, Statistics proficiency, Experimentation proficiency, Product metrics proficiency, High agency, High ownership, Bias for action, Proficiency with AI tools, Level of spoken English, Level of written English, Level of spoken Spanish, Level of written Spanish, Clear, structured communicator", "qualificationsPreferred" : "Experience building products from 0 to 1, Experience working closely with founders, Experience in startup environments, Ability to work remote, Ability to work hybrid, Barcelona-based preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Labhouse is a fast-growing startup that builds, launches, and scales its own AI & Productivity Apps, operating under a subscription-based business model. Based in Barcelona, Labhouse was founded by Andrés Bou and Horacio Martos (Co-Founders of SocialPoint). We operate at the intersection of mobile technology, AI, and product-driven growth, with a strong focus on experimentation and performance. Would you like to make an impact as part of a company that builds the best mobile apps used by millions of users worldwide? If so, discover your next challenge below. Now we're looking for a Product lead & Data Analyst to work side by side with our CEO, turning data into the apps of tomorrow \uD83D\uDE80 ABOUT THE ROLE As Data Product Manager, you'll partner directly with the CEO to launch new apps and evolve our existing portfolio. You'll bring a data-first mindset to product decisions — using user behavior, experimentation, and analytics to identify opportunities, prioritize features, and ship products that scale. This role requires someone highly autonomous, entrepreneurial, and impact-driven, capable of defining KPIs, building dashboards, and making data-informed decisions. You'll be responsible for: - Working hand in hand with the CEO to ideate, validate, and launch new mobile apps - Driving product decisions on existing apps using data, experimentation, and user insights - Defining and tracking the metrics that matter: activation, retention, monetization, LTV - Designing and analyzing A/B tests, onboarding flows, and monetization experiments - Translating raw data into clear product hypotheses and roadmap priorities - Collaborating with engineering, design, and marketing to ship fast and iterate faster - Leveraging AI tools to accelerate research, prototyping, and decision-making ABOUT YOU: Academic background: - Degree in a quantitative or technical field — Data Science, Data Engineering, Computer Science, Engineering, Mathematics, Statistics, Physics, or similar - Strong academic record from a top-tier university What are we looking for: - 2–4 years of experience as a Data Scientist, Data Engineer, or Data Analyst, looking to transition into product - Solid analytical foundation: SQL, statistics, experimentation, and product metrics (CAC, LTV, retention, ARPU) - A genuine product mindset — you don't just analyze data, you ask why and propose what to build next - High agency, ownership, and bias for action - Comfortable working directly with founders in a fast-paced environment - Strong proficiency with AI tools to accelerate your workflow - Passion for UI/UX and Apple-like product experiences Communication: - Strong level of spoken and written English and Spanish - Clear, structured communicator who can simplify complex data into product narratives NICE TO HAVE: - Experience building products from 0 to 1. - Experience working closely with founders or in startup environments. - Ability to work remote or hybrid (Barcelona-based preferred). WHAT WE OFFER: - The opportunity to work side by side with serial entrepreneurs who've built and exited at the highest level - A real path to becoming a product leader, mentored directly by the CEO - Attractive compensation package, above market average - Hybrid work model from our Barcelona office - A fast-moving, AI-native environment where shipping beats talking HIRING PROCESS 1. TA Interview – Initial conversation to get to know each other and understand your background. 2. Technical Case – Practical exercise to assess your product, analytical, and strategic capabilities. 3. CEO / Product Team Interview – Deep dive into your product thinking, experience, and fit with the team. 4. Final Interview – Final conversation to ensure alignment on expectations, culture, and role fit. YOU SHOULD KNOW: Labhouse is proud to be an equal-opportunity employer. However you identify or whatever your journey to this point, we welcome all candidates to apply for the position that inspires them. Come join us and help us build a company that everyone is proud to be part of.", "summaryDescription" : "Product lead & Data Analyst at Labhouse. Skills: Product strategy, Data analysis, Experimentation, AI tools. Ideate new mobile apps. Validate new mobile apps", "createdAt" : "2026-06-14T20:21:38.422", "lastUpdated" : "2026-06-16T07:02:45.460", "ingestTimestamp" : "2026-06-14T20:21:38.422", "mongoId" : "6a2cb06574d8ee00a09d9d3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Statistics", "Experimentation", "Product metrics", "Activation metrics", "Retention metrics", "Monetization metrics", "LTV metrics", "A/B testing", "Onboarding flows", "Monetization experiments", "Product hypotheses", "Roadmap priorities", "AI tools", "Product strategy", "Data analysis", "Product mindset", "Data-informed decisions", "Roadmap", "Mobile technology", "AI", "Product-driven growth", "Performance marketing", "Subscription business model", "AI & Productivity Apps" ], "skillCount" : 24, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 529.1455, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307653f292fd229c01868b", "title" : "Data Reporter, Senior Data Reporter", "company" : "Financial Times", "industry" : "Media", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Reporter in New York, United States, with adjustments for the media industry and company size." }, "location" : "New York", "locations" : [ "New York" ], "timestamp" : "2026-06-16T11:05:22.596", "fingerprint" : "841d880dee9c0cb749a04eed70320c7034a93595b270ca6b0d46acd3cd552bdc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/financialtimes33/jobs/4895510101", "externalId" : "4895510101", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Excel, APIs, Databases, Web scraping, HTML, CSS, JavaScript, D3", "professionalSkills" : [ "Data acquisition", "Data cleaning", "Data analysis", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling" ], "hardSkillsList" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" }, { "name" : "Journalistic integrity", "level" : "intermediate" } ], "majorSkills" : "Data journalism, Data analysis, Visual storytelling, Data visualisation", "majorSkillsList" : [ "Data journalism", "Data analysis", "Visual storytelling", "Data visualisation" ], "coreResponsibilities" : "Develop original, data-driven stories, Source datasets, Collect datasets, Clean datasets, Analyse datasets, Build compelling charts, Build graphics, Build interactive visualisations, Identify trends within datasets, Identify anomalies within datasets, Identify opportunities within datasets, Run analytical projects, Complete analytical projects, Complete shorter-term assignments, Collaborate with reporters, Collaborate with editors, Collaborate with visual journalists, Support colleagues, Use public records, Use databases, Use APIs, Use web scraping techniques, Use proprietary datasets, Ensure reporting meets highest standards, Ensure analysis meets highest standards, Contribute to development of data journalism capabilities", "teamCollaboration" : "Cross-functional teams; Reporters and editors; Data visualisation team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Institutional investing; Wealth management; Financial advisory industry", "domainList" : [ "institutional-investing", "wealth-management", "financial-advisory-industry" ], "domainSpecificKnowledge" : [ "Institutional investing", "Wealth management", "Financial advisory industry" ], "toolProficiency" : [ "Flourish", "Adobe Illustrator" ], "communicationSkills" : "Translate quantitative findings", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Produce exclusive, data-driven reporting; Produce visual storytelling; Create engaging visualisations; Create interactive content; Deliver insights readers cannot find elsewhere; Enhance storytelling; Enhance audience engagement; Uncover new reporting opportunities", "qualificationsBasic" : "Demonstrated experience producing data-driven journalism, Interest in data journalism, Interest in visual storytelling, Interest in financial or business news, Proven track record to identify, analyse and communicate compelling stories through data, Experience using Python or R for data acquisition, cleaning, analysis and reporting, Proficiency with Excel, Experience working with APIs, Experience working with databases, Experience working with web scraping techniques, Knowledge of data visualisation standard processes, Exceptional attention to detail, Commitment to accuracy, Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences, Communication skills, Collaboration skills, Project management skills, Experience working successfully within cross-functional teams, Experience working in time-sensitive environments", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our Commitment to Equity in the Workplace We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role / Position Overview FT Specialist is seeking a Data Reporter / Senior Data Reporter to join our growing data journalism team, producing exclusive, data-driven reporting and visual storytelling for FundFire and Financial Advisor IQ. This role sits at the intersection of journalism, data analysis and visual design. You will be responsible for sourcing, cleaning, analysing and interpreting complex datasets to uncover original stories covering institutional investments, wealth management and the financial advisory industry. You will also create engaging visualisations and interactive content that help our journalism stand out and deliver insights readers cannot find elsewhere. Working as part of a six-person data visualisation team, you will collaborate closely with reporters and editors across both publications while reporting to the Managing Editor of Data Visualization. The successful candidate will be equally comfortable developing ambitious long-term investigative and analytical projects as well as delivering shorter-turnaround stories that respond to emerging industry trends and news events. We are looking for a curious, collaborative and entrepreneurial journalist who is passionate about using data to reveal meaningful stories and who is committed to continually developing their skills in a fast-evolving newsroom environment. Key Responsibilities Develop original, data-driven stories covering institutional investing, wealth management and financial advisory businesses. Source, collect, clean and analyse structured and unstructured datasets using a range of journalistic and analytical techniques. Build compelling charts, graphics and interactive visualisations that enhance storytelling and audience engagement. Identify trends, anomalies and opportunities within datasets that lead to exclusive reporting. Run and complete both long-term analytical projects and shorter-term assignments driven by current events . Collaborate with reporters, editors and visual journalists across FundFire and Financial Advisor IQ. Support colleagues in applying data journalism procedures and interpreting quantitative information accurately. Use public records, databases, APIs, web scraping techniques and proprietary datasets to uncover new reporting opportunities. Ensure all reporting and analysis meets the highest standards of accuracy, transparency and journalistic integrity. Contribute to the ongoing development of data journalism capabilities across FT Specialist. Required Skills / Experience Demonstrated experience producing data-driven journalism, business reporting or analytical storytelling in a newsroom or comparable environment. Strong interest in data journalism, visual storytelling and financial or business news. Proven track record to identify, analyse and communicate compelling stories through data. Experience using Python or R for data acquisition, cleaning, analysis and reporting. Strong proficiency with Excel and other data analysis tools. Experience working with APIs, databases and web scraping techniques. Knowledge of data visualisation standard processes and experience using tools such as Flourish, Adobe Illustrator, HTML, CSS, JavaScript, D3 or comparable front-end technologies. Exceptional attention to detail and commitment to accuracy. Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences. Strong communication, collaboration and project management skills. Experience working successfully within cross-functional teams and time-sensitive environments. What’s in it for You? Our Benefits Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here: https://aboutus.ft.com/careers/benefits. We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are committed to creating an inclusive and accessible recruitment process. Please let us know if you require any reasonable adjustments or accommodations during the application process or interview stage. If you would like to discuss your requirements, please contact talent@ft.com and a member of our team will be happy to help. Further Information A reasonable estimate of the salary range for this role is $75,000-$95,000. The upper end of the scale reflects pay of someone who comes in at the senior reporter level, with confirmed experience and strong work to show. Earlier career candidates will be considered for reporter-level roles. To ensure pay fairness, the successful candidate will be offered a salary within the estimated salary range based on a number of considerations including but not limited to: skills; experience and training; certifications; and other business and organisational needs. The disclosed range estimate is for our NYC office and has not been adjusted for other locations. This role is part of the FT Specialist US Guild and covered under a collective bargaining agreement with the Writers’ Guild of America East. At the FT, we embrace innovation and the use of technology and appreciate that individuals may use AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is crucial that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.", "summaryDescription" : "Data Reporter, Senior Data Reporter at Financial Times. Skills: Data journalism, Data analysis, Visual storytelling, Data visualisation. Develop original, data-driven stories. Source datasets", "postedDate" : "2026-06-16T01:20:06.423", "createdAt" : "2026-06-16T01:20:06.423", "lastUpdated" : "2026-06-16T11:05:22.596", "ingestTimestamp" : "2026-06-16T01:20:06.423", "mongoId" : "6a307653f292fd229c01868b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity", "Data journalism", "Data analysis", "Visual storytelling", "Data acquisition", "Data cleaning", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling", "Project management", "Institutional investing", "Wealth management", "Financial advisory industry", "Flourish", "Adobe Illustrator" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 525.0394, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca58374d8ee00a09b6ec0", "title" : "Senior Data Analyst", "company" : "Forge Global", "industry" : "FinTech", "salary" : { "min" : 98000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Denver, Colorado, United States", "locations" : [ "Denver", "Colorado", "United States", "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T09:35:56.410", "fingerprint" : "7d6c6ed85ddd423125372426b0d709999997b43c0458d11f36fe630cbeb14616", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/forgeglobal/jobs/6014229004", "externalId" : "6014229004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Segment, Looker, Heap", "professionalSkills" : [ "Product strategy", "Organizational impact", "Business strategy", "Data analysis", "Forecasting", "Growth strategy", "Product development", "Data quality", "Data consistency", "Data documentation", "Scalable analytics", "Accurate analytics", "Reliable analytics" ], "hardSkillsList" : [ "Data analysis", "Predictive modeling", "Forecasting", "A/B testing", "Statistical analysis", "Experimental design", "Data warehousing", "Data visualization", "Reporting automation" ], "softSkillsList" : [ "Storytelling", "Problem-solving" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" }, { "name" : "Problem-solving" } ], "majorSkills" : "Data analysis, Predictive modeling, BI tools, SQL", "majorSkillsList" : [ "Data analysis", "Predictive modeling", "BI tools", "SQL" ], "coreResponsibilities" : "Shape business strategy, Analyze data, Highlight opportunities, Provide insights, Develop predictive models, Develop forecasting tools, Build decision-making tools, Design datasets, Maintain datasets, Automate datasets, Automate reporting, Automate analytics processes, Communicate findings, Present insights, Improve data infrastructure, Enhance data quality, Enhance data consistency, Enhance data documentation, Design A tests, Analyze A tests, Analyze experiments, Guide product development, Measure impact", "teamCollaboration" : "Partner with stakeholders; Cross-functional teams; Work cross-functionally; Manage stakeholders; Manage priorities", "domainKnowledge" : "Private market; Marketplace strategy; User data; GTM data sources", "domainList" : [ "private-market", "marketplace-strategy", "user-data", "gtm-data-sources" ], "domainSpecificKnowledge" : [ "Private market", "Marketplace strategy", "User data", "GTM data sources" ], "toolProficiency" : [ "SQL", "Python", "Snowflake", "Segment", "Looker", "Heap", "Launch Darkly" ], "communicationSkills" : "Clear narratives; Visualizations; Presentations; Storytelling", "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Problem-solving; Structure ambiguous problems; Translate business questions", "specialRequirements" : "Operate computer 8 hours", "outcomesObjectives" : "Deliver data-driven insights; Influence strategy; Inform decision-making; Support growth; Support product efficiency; Support marketplace strategy; Deliver clear insights; Support long-term growth; Guide product development; Measure impact", "qualificationsBasic" : "4+ years experience, Expert-level SQL, Proficient in Python, Hands-on BI tools, Hands-on data warehouses, Experimental design foundation, A/B testing methodology, Predictive models development, Statistical analysis application, Analytical skills, Problem-solving skills, Structure ambiguous problems, Translate business questions, Track record cross-functionally, Manage multiple stakeholders, Manage multiple priorities, Undergraduate degree", "qualificationsPreferred" : "Looker experience preferred, Tableau experience preferred, Snowflake experience preferred, Launch Darkly experience preferred, Heap experience preferred", "remoteFriendly" : false, "rawDescription" : "At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more. With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth. Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect. Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way. The Role: We are looking to hire a Senior Data Analyst to join our Analytics team. In this role, you will partner with stakeholders across Product, Marketing, Finance, and Senior Leadership to deliver data-driven insights that influence strategy and decision-making across Forge. You will design and execute experiments, build new datasets, automate reporting, develop predictive analytics and attribution models — ultimately shaping how we measure, understand, and grow our marketplace. This is a high-impact individual contributor role, ideal for someone who thrives at the intersection of analytics, product strategy, and organizational impact. Responsibilities: Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction. Develop predictive models and forecasting tools using Python to support growth, product efficiency, and marketplace strategy leveraging internal user data and external GTM data sources. Build decision-making tools by designing, maintaining, and automating datasets, dashboards, and reporting infrastructure in Snowflake, Segment, Looker, and Heap to deliver clear insights that support long-term growth strategies. Automate recurring reporting and analytics processes using Python. Communicate findings through clear narratives, visualizations, and presentations to senior stakeholders. Improve our data infrastructure by identifying opportunities to enhance data quality, consistency, and documentation, enabling scalable, accurate, and reliable analytics across Forge. Design and analyze A/B tests and other experiments in Launch Darkly to guide product development and measure impact. Qualifications: 4+ years of experience in analytics, product analytics, data science or a related field. Expert-level SQL (advanced queries, optimization, and performance tuning). Proficient in Python (2+ years) for data analysis, automation, visualization, and forecasting/modeling. Hands-on experience with BI and data visualization tools, ideally Looker or Tableau, and data warehouses such as Snowflake. Strong foundation in experimental design and A/B testing methodology, preferably with experience in Launch Darkly and Heap. Demonstrated ability to develop predictive models and apply statistical analysis in a business context. Excellent analytical and problem-solving skills, with the ability to structure ambiguous problems and translate business questions into technical analyses. Strong communication and storytelling skills — able to present complex insights in a clear, actionable way to both technical and non-technical audiences. Track record of working cross-functionally and managing multiple stakeholders and priorities. Undergraduate degree in finance, economics, statistics, mathematics, engineering or related field. Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication For residents of New York, New York the annual salary range for this role is $98,000 - $100,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test. Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.", "summaryDescription" : "Senior Data Analyst at Forge Global. Skills: Data analysis, Predictive modeling, BI tools, SQL. Shape business strategy. Analyze data", "postedDate" : "2026-06-14T02:58:25.404", "createdAt" : "2026-06-14T02:58:25.404", "lastUpdated" : "2026-06-15T09:35:56.410", "ingestTimestamp" : "2026-06-14T02:58:25.404", "mongoId" : "6a2ca58374d8ee00a09b6ec0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 98000, "salaryAnnualMax" : 100000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Predictive modeling", "Forecasting", "A/B testing", "Statistical analysis", "Experimental design", "Data warehousing", "Data visualization", "Reporting automation", "Storytelling", "Problem-solving", "BI tools", "SQL", "Product strategy", "Organizational impact", "Business strategy", "Growth strategy", "Product development", "Data quality", "Data consistency", "Data documentation", "Scalable analytics", "Accurate analytics", "Reliable analytics", "Private market", "Marketplace strategy", "User data", "GTM data sources", "Python", "Snowflake", "Segment", "Looker", "Heap", "Launch Darkly" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 521.03973, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3088a6f292fd229c0913e9", "title" : "Technical Sales - Clamps & Tools", "company" : "Oetiker", "industry" : "Automotive", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Technical Sales in Las Vegas, United States, adjusted for the manufacturing industry and company size." }, "location" : "Las Vegas, NV, United States", "locations" : [ "Las Vegas", "NV", "United States" ], "timestamp" : "2026-06-16T12:44:31.450", "fingerprint" : "82b723c144233bc30a9a1d937419cd473edf14613120a26706e06868be4c1ba8", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Oetiker/744000132275539-technical-sales-clamps-tools", "externalId" : "744000132275539", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Las Vegas", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1674263,-115.1484131" } ], "locationText" : "Las Vegas, Nevada, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Relationship management", "Opportunity generation" ], "softSkillsList" : [ "Communication skills", "Presentation skills" ], "softSkills" : [ { "name" : "Communication skills" }, { "name" : "Presentation skills" } ], "majorSkills" : "Sales growth, Customer prospecting, Relationship management", "majorSkillsList" : [ "Sales growth", "Customer prospecting", "Relationship management" ], "coreResponsibilities" : "Protect sales for assigned customers, Grow sales for assigned customers, Support sales for assigned customers, Conduct new customer prospecting, Generate new opportunities, Manage customer relationships, Manage sales opportunities, Manage sales activities, Support customer complaints, Provide field service, Provide field support, Support key account teams, Manage time effectively, Manage resources effectively, Manage learning effectively", "teamCollaboration" : "Key account teams", "domainKnowledge" : "Connecting solutions; Automotive applications; Industrial applications; Plumbing industry; Data centers industry; Medical industry; Agricultural industry", "domainList" : [ "connecting-solutions", "automotive-applications", "industrial-applications", "plumbing-industry", "data-centers-industry", "medical-industry", "agricultural-industry" ], "domainSpecificKnowledge" : [ "Connecting solutions", "Automotive applications", "Industrial applications", "Plumbing industry", "Data centers industry", "Medical industry", "Agricultural industry" ], "communicationSkills" : "Written communication; Verbal communication; Presentation skills", "continuousLearning" : "Learning effectively", "specialRequirements" : "50% travel requirement", "outcomesObjectives" : "Sales growth across West Coast", "qualificationsBasic" : "Knowledge of sales processes, Knowledge of sales principles, Knowledge of applicable industries, Knowledge of internal support processes, Knowledge of quality management systems, Knowledge of Oetiker products, Knowledge of Oetiker applications, Knowledge of Oetiker assembly solutions, Mechanical aptitude, Commercial aptitude, Ability to learn, Ability to work with integrity, Ability to work with compliance, Bachelor's degree in Engineering, Relevant technical experience", "qualificationsPreferred" : "Sales growth experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Joining 'TeamOetiker' means connecting with over 2,000 people in 32 countries and at 13 manufacturing sites. We are the leading provider of high-end connecting solutions for automotive and industrial applications. Our clamps, rings, straps and quick connectors can be found on virtually every car in the world and in millions of home plumbing systems and appliances. We are a privately owned, family-run business, with a long-term perspective and a focus on sustainable business success. Sound like a place where you want to be? Connect with us! Responsible for sales growth across entire West Coast with specific industries to include plumbing, data centers, medical and agricultural, 50% travel requirement. • Protects, grows, and supports sales for assigned regional customers. • Conducts new customer prospecting, opportunity generation, and relationship management using the 360° approach. • Manages sales opportunities and activities using established systems for regional. • Supports customer complaints and provides field service/support. • Supports key account teams at local production locations. • Manages time, resources, and learning effectively. ## Qualifications Predominant Knowledge, Skills, and Abilities • Knowledge of sales processes, sales principles, and applicable industries. • Knowledge of internal support processes, quality management systems/principals, and how to apply them. • Detailed knowledge of Oetiker products, applications, and assembly solutions. • Excellent communication and presentation skills (written and verbal). • Ability to build lasting business relationships. • Mechanical and commercial aptitude • Proven ability to learn. • Ability to work with the highest levels of integrity and compliance. Education Bachelor level degree in Engineering or other field supplemented with relevant technical experience ## Additional Information At Oetiker, we don’t just sell parts — we engineer confidence. With decades of experience and a reputation for quality, we serve global markets in automotive, industrial, and medical sectors. Our Marlette facility plays a key role in delivering both exceptional products and customer support. We offer: * A leadership role with global visibility and local impact * Hands-on training with innovative tools and systems * A collaborative, stable, and technically driven work environment * Competitive compensation and full benefits package * Opportunities for professional growth in a global organization All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Technical Sales - Clamps & Tools at Oetiker. Skills: Sales growth, Customer prospecting, Relationship management. Protect sales for assigned customers. Grow sales for assigned customers", "postedDate" : "2026-06-15T19:50:21.000", "createdAt" : "2026-06-16T01:43:57.219", "lastUpdated" : "2026-06-16T12:44:31.450", "ingestTimestamp" : "2026-06-16T01:43:57.219", "mongoId" : "6a3088a6f292fd229c0913e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Communication skills", "Presentation skills", "Sales growth", "Customer prospecting", "Relationship management", "Opportunity generation", "Connecting solutions", "Automotive applications", "Industrial applications", "Plumbing industry", "Data centers industry", "Medical industry", "Agricultural industry" ], "skillCount" : 13, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 519.8522, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306c25f292fd229cfd3011", "title" : "Technical Sales - Clamps & Tools", "company" : "Oetiker", "industry" : "Automotive", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Technical Sales in Las Vegas, United States, adjusted for the manufacturing industry and company size." }, "location" : "Las Vegas, NV, United States", "locations" : [ "Las Vegas", "NV", "United States" ], "timestamp" : "2026-06-16T11:49:10.479", "fingerprint" : "25d2e611b3563a87b5f61be50475b8bf8369163d03d787027f0781be5209cd4e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Oetiker/744000132275539-technical-sales-clamps-tools", "externalId" : "744000132275539", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Las Vegas", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1674263,-115.1484131" } ], "locationText" : "Las Vegas, Nevada, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Relationship management", "Opportunity generation" ], "softSkillsList" : [ "Presentation" ], "softSkills" : [ { "name" : "Presentation" } ], "majorSkills" : "Sales growth, Customer prospecting, Relationship management", "majorSkillsList" : [ "Sales growth", "Customer prospecting", "Relationship management" ], "coreResponsibilities" : "Protect sales for assigned customers, Grow sales for assigned customers, Support sales for assigned customers, Conduct new customer prospecting, Generate new opportunities, Manage customer relationships, Manage sales opportunities, Manage sales activities, Support customer complaints, Provide field service, Provide field support, Support key account teams, Manage time effectively, Manage resources effectively, Manage learning effectively", "teamCollaboration" : "Key account teams", "domainKnowledge" : "Connecting solutions; Automotive applications; Industrial applications; Plumbing industry; Data centers industry; Medical industry; Agricultural industry", "domainList" : [ "connecting-solutions", "automotive-applications", "industrial-applications", "plumbing-industry", "data-centers-industry", "medical-industry", "agricultural-industry" ], "domainSpecificKnowledge" : [ "Connecting solutions", "Automotive applications", "Industrial applications", "Plumbing industry", "Data centers industry", "Medical industry", "Agricultural industry" ], "communicationSkills" : "Written communication; Verbal communication; Presentation skills", "continuousLearning" : "Learning effectively", "specialRequirements" : "50% travel requirement", "qualificationsBasic" : "Knowledge of sales processes, Knowledge of sales principles, Knowledge of applicable industries, Knowledge of internal support processes, Knowledge of quality management systems, Knowledge of Oetiker products, Knowledge of Oetiker applications, Knowledge of Oetiker assembly solutions, Mechanical aptitude, Commercial aptitude, Ability to work with integrity, Ability to work with compliance", "qualificationsPreferred" : "Bachelor's degree in Engineering, Supplemented with relevant technical experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Joining 'TeamOetiker' means connecting with over 2,000 people in 32 countries and at 13 manufacturing sites. We are the leading provider of high-end connecting solutions for automotive and industrial applications. Our clamps, rings, straps and quick connectors can be found on virtually every car in the world and in millions of home plumbing systems and appliances. We are a privately owned, family-run business, with a long-term perspective and a focus on sustainable business success. Sound like a place where you want to be? Connect with us! Responsible for sales growth across entire West Coast with specific industries to include plumbing, data centers, medical and agricultural, 50% travel requirement. • Protects, grows, and supports sales for assigned regional customers. • Conducts new customer prospecting, opportunity generation, and relationship management using the 360° approach. • Manages sales opportunities and activities using established systems for regional. • Supports customer complaints and provides field service/support. • Supports key account teams at local production locations. • Manages time, resources, and learning effectively. ## Qualifications Predominant Knowledge, Skills, and Abilities • Knowledge of sales processes, sales principles, and applicable industries. • Knowledge of internal support processes, quality management systems/principals, and how to apply them. • Detailed knowledge of Oetiker products, applications, and assembly solutions. • Excellent communication and presentation skills (written and verbal). • Ability to build lasting business relationships. • Mechanical and commercial aptitude • Proven ability to learn. • Ability to work with the highest levels of integrity and compliance. Education Bachelor level degree in Engineering or other field supplemented with relevant technical experience ## Additional Information At Oetiker, we don’t just sell parts — we engineer confidence. With decades of experience and a reputation for quality, we serve global markets in automotive, industrial, and medical sectors. Our Marlette facility plays a key role in delivering both exceptional products and customer support. We offer: * A leadership role with global visibility and local impact * Hands-on training with innovative tools and systems * A collaborative, stable, and technically driven work environment * Competitive compensation and full benefits package * Opportunities for professional growth in a global organization All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Technical Sales - Clamps & Tools at Oetiker. Skills: Sales growth, Customer prospecting, Relationship management. Protect sales for assigned customers. Grow sales for assigned customers", "postedDate" : "2026-06-15T19:50:21.000", "createdAt" : "2026-06-16T00:05:41.531", "lastUpdated" : "2026-06-16T11:49:10.479", "ingestTimestamp" : "2026-06-16T00:05:41.531", "mongoId" : "6a306c25f292fd229cfd3011", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Presentation", "Sales growth", "Customer prospecting", "Relationship management", "Opportunity generation", "Connecting solutions", "Automotive applications", "Industrial applications", "Plumbing industry", "Data centers industry", "Medical industry", "Agricultural industry" ], "skillCount" : 12, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 519.8522, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4952beec4dd3d931827", "title" : "Data Solutions Lead Manager, Data Collection Excellence", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 81000.0, "max" : 141800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T07:48:53.979", "fingerprint" : "a6512bda53920a87bc9db62d17b33c5441b86149dd6787100e1b62057412e484", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385651/apply", "externalId" : "e8b97dba-f23f-4f14-a1d5-5d45573c8d1c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "softSkillsList" : [ "Leadership" ], "softSkills" : [ { "name" : "Leadership" } ], "coreResponsibilities" : "Manage and monitor team performance, Create a culture of ownership, Act as an SME Manager, Gain deep domain knowledge, Own global program improvement initiatives, Coordinate across global teams, Influence stakeholders, Ensure effective and expedient delivery, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Act as escalation point, Assist senior level customers, Collaborate with product teams, Collaborate with technology teams, Implement effective long term solutions, Consolidate customer feedback, Translate feedback into improvement initiatives", "teamCollaboration" : "Global teams; Product teams; Technology teams", "projectManagementSkills" : [ "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks" ], "domainKnowledge" : "Data collection for AI; ML/Gen AI data collections", "domainList" : [ "data-collection-for-ai", "ml-gen-ai-data-collections" ], "domainSpecificKnowledge" : [ "Data collection for AI", "ML/Gen AI data collections" ], "qualificationsBasic" : "5+ years people management, Experience in project management", "qualificationsPreferred" : "Bachelor's degree in Computer Science, 2+ years technical support experience, Experience in leadership positions, Experience in account management positions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you enjoy leading dynamic and fast paced teams with global impact? We're looking for a Data Solutions Lead Managers to join our growing team! About the Role: As a Data Solutions Lead Manager, you will manage a team of Data Collection owners who provide expert consultation on ML/Gen AI data collections and own execution from start to finish. You'll drive business value by providing regular feedback and ensuring your team is working efficiently, manage active escalations and help them build long standing partnerships with customers. If necessary you will have the technical capability to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change for the models that back them. Key job responsibilities Manage and monitor your teams performance, creating a culture of ownership in ambiguous situations Act as an SME Manager, gaining deep domain knowledge in the field of data collection for AI and relevant products Own global program improvement initiatives for the Data Collection Excellence Organization Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Act as an escalation point for challenging data collections, directly assisting senior level customers and your team. Collaborate with product and technology teams to implement effective long term solutions Consolidate customer feedback and translate it into improvement initiatives Basic Qualifications: - 5+ years of people management experience - Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - 2+ years of technical support experience, or experience in leadership or account management positions 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, BELLEVUE - 81,000.00 - 141,800.00 USD annually", "summaryDescription" : "Data Solutions Lead Manager, Data Collection Excellence at Amazon.com Services LLC. Manage and monitor team performance. Create a culture of ownership", "postedDate" : "2026-06-13T17:46:51.723", "createdAt" : "2026-06-13T17:46:51.723", "lastUpdated" : "2026-06-15T07:48:53.979", "ingestTimestamp" : "2026-06-13T17:46:51.723", "mongoId" : "69d5e4952beec4dd3d931827", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385651/apply", "salaryAnnualMin" : 81000, "salaryAnnualMax" : 141800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Leadership", "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks", "Data collection for AI", "ML/Gen AI data collections" ], "skillCount" : 7, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 518.501, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693c2b8670f0b99d5843fac9", "title" : "Data Solutions Lead, Data Collection Excellence", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 3.5E7, "max" : 5.5E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Solutions role in Heredia, Costa Rica, adjusted for the technology industry and Amazon's company size." }, "location" : "Heredia, Heredia, CRI", "locations" : [ "Heredia, Heredia, CRI" ], "timestamp" : "2026-06-15T02:24:43.038", "fingerprint" : "ac091050f22240d36d907ff5de523878826a50923e48c5243b11b20f0ea07ada", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139800/apply", "externalId" : "c2c8fc54-4d31-436c-af90-278fc2e3a720", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Heredia", "state" : "Heredia", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9984272,-84.1171215" } ], "locationText" : "Heredia, Heredia, Costa Rica", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python", "professionalSkills" : [ "ML data operations", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios" ], "hardSkillsList" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data creation strategies", "level" : "intermediate" }, { "name" : "ML data operations", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ML data operations, Customer relationship management, Technical advisory", "majorSkillsList" : [ "ML data operations", "Customer relationship management", "Technical advisory" ], "coreResponsibilities" : "Drive and document ML/GenAI solutions, Transform research objectives into requirements, Coordinate across teams for delivery, Align stakeholders, Own relationships with customer scientists, Provide consultation on ML workflow capabilities, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Influence technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ML data operations; Data annotation; ML workflows; GenAI data collections", "domainList" : [ "ml-data-operations", "data-annotation", "ml-workflows", "genai-data-collections" ], "domainSpecificKnowledge" : [ "ML data operations", "Data annotation", "ML workflows", "GenAI data collections" ], "communicationSkills" : "Customer communication; Technical consultation", "documentationSkills" : "Technical documentation; Technical guidelines", "outcomesObjectives" : "Deliver meaningful change for models; Maximize customer value", "qualificationsBasic" : "2+ years of experience in ML data operations, Understanding of data annotation/ML workflows, Outstanding customer communication and management skills, Technical consultation skills", "qualificationsPreferred" : "Bachelor's degree in Business, Computer Science, or related field, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Project management expertise, Technical account management experience, Background in customer success, Background in solution consulting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting 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 Solutions Lead, Data Collection Excellence at Amazon Support Services Costa Rica SRL. Skills: ML data operations, Customer relationship management, Technical advisory. Drive and document ML/GenAI solutions. Transform research objectives into requirements", "postedDate" : "2026-06-13T04:25:30.067", "createdAt" : "2026-06-13T04:25:30.067", "lastUpdated" : "2026-06-15T02:24:43.038", "ingestTimestamp" : "2026-06-13T04:25:30.067", "mongoId" : "693c2b8670f0b99d5843fac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139800/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows", "Leadership", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios", "Project management", "GenAI data collections" ], "skillCount" : 12, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 516.6886, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fa0dda4c40e2acd144eafd", "title" : "Software Development Engineer, Data Center Builder Tools", "company" : "Amazon Data Services UK Limited", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Development Engineer in London, adjusted for the technology industry and a large company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T04:18:16.577", "fingerprint" : "a106957ddfb9bbd139be0d0c3376f35b8fd03a2a82f989f0197a775a8de849c0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410589/apply", "externalId" : "31fd09d4-f5ce-4caf-a939-761197947484", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, C++, C#, AWS", "professionalSkills" : [ "Systems automation", "Software automation", "Test automation", "Embedded systems", "System design", "Data structures", "Algorithms" ], "hardSkillsList" : [ "Industrial controls" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Industrial controls", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Software development, Industrial controls, Cloud infrastructure", "majorSkillsList" : [ "Software development", "Industrial controls", "Cloud infrastructure" ], "coreResponsibilities" : "Design new software solutions, Develop managed industrial control services, Scale managed industrial control services, Implement software development principles, Increase security of industrial controls, Increase availability of industrial controls, Increase simplicity of industrial controls, Architect software components, Implement software components, Collaborate with cross-functional teams, Deliver high-quality software, Improve coding practices, Improve testing methodologies, Improve development processes, Stay up-to-date with technologies, Mentor junior engineers, Participate in team direction, Participate in organization vision, Design software systems, Develop software systems, Maintain software systems", "teamCollaboration" : "Cross-functional teams; Hardware engineers; Data center operations; Security specialists; Product managers; Designers; Software engineers; Network engineers; Supply chain specialists; Operations managers", "domainKnowledge" : "Industrial controls; Data center infrastructure; Cloud computing; AWS infrastructure", "domainList" : [ "industrial-controls", "data-center-infrastructure", "cloud-computing", "aws-infrastructure" ], "domainSpecificKnowledge" : [ "Industrial controls", "Data center infrastructure", "Cloud computing", "AWS infrastructure" ], "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Professional software development experience, Programming with Java, C++, or C#, Object-oriented design experience", "qualificationsPreferred" : "Bachelor's degree in computer science, Full software development life cycle experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Data Center Builder Tools team is looking for an innovative, self-directed Software Development Engineer to drive the development and scaling of managed industrial control services used within AWS Data Centers worldwide. Contribute to Amazon's vision of developing the safest and most secure, reliable, and efficient data centers on Earth. As a Software Development Engineer on this team, you will design new software solutions that power AWS Data Center industrial controls platform and management software products. - Leverage your expertise in areas such as systems automation, software and test automation, and mission-critical embedded systems at scale - Implement Amazon's software development principles to increase the security, availability, and simplicity of industrial controls in our data centers - Work alongside a talented, cross-functional team of hardware engineers, data center operations, and security specialists - Contribute to the vision of developing the safest and most secure, reliable, and efficient data centers on Earth If you're passionate about building innovative solutions that power the backbone of Amazon's world-class infrastructure, this is the role for you. Key job responsibilities The Software Development Engineer I (SDE2) role is a key position within Amazon's engineering teams. As an SDE2, you will be responsible for designing, developing, and maintaining complex software systems that power Amazon's products and services. Your primary duties will include: - Architecting and implementing robust, scalable, and efficient software components embedded in equipment and in the cloud - Collaborating with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality software. - Continuously improving coding practices, testing methodologies, and development processes. - Staying up-to-date with the latest industry trends, technologies, and best practices. - Mentoring and providing guidance to more junior engineers. - Participating in the overall direction and vision of the engineering team and organization. The ideal candidate for this role will have a strong background in software development, with expertise in areas such as system design, data structures, algorithms, and software engineering principles. Strong problem-solving skills, attention to detail, and the ability to work effectively in a fast-paced, collaborative environment are also essential. This is a critical role within Amazon's engineering organization, and successful SDE2s will have the opportunity to make a significant impact on the company's products and services. A day in the life AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. About the team The Data Center Builder Tools team develops tooling for device frameworks, and device lifecycle management in AWS Data Centers. This includes both frontend and backend services use by internal development teams and on-site customers. Our tools power the industrial controls systems deployed in our data centers. Basic Qualifications: - Experience (non-internship) in professional software development - Experience in professional, non-internship software development - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design Preferred Qualifications: - Bachelor's degree in computer science or equivalent - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations 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" : "Software Development Engineer, Data Center Builder Tools at Amazon Data Services UK Limited. Skills: Software development, Industrial controls, Cloud infrastructure. Design new software solutions. 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You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting 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 Solutions Lead, Data Collection Excellence at Amazon Support Services Costa Rica SRL. Skills: ML data solutions, Customer consultation, Data collection requirements. Drive and document ML/GenAI solutions. 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You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Bachelor's degree in a relevant field or equivalent work experience - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Demonstrated experience in effectively defining optimal data creation strategies and executing them - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - Experience in project management - 2+ years of technical support experience, or experience in leadership or account management positions - Working knowledge of JSON, Command Line, and Python - Background in customer success or solution consulting Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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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. 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.", "createdAt" : "2026-06-14T20:17:27.024", "lastUpdated" : "2026-06-15T09:58:14.336", "ingestTimestamp" : "2026-06-14T20:17:27.024", "mongoId" : "6a2cafed74d8ee00a09d83ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "ML", "curious, caring, cross-functional", "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 510.2876, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca40074d8ee00a09af54f", "title" : "Complex Care Healthcare Assistant", "company" : "Thornbury Community Services", "industry" : "Healthcare", "salary" : { "min" : 18.0, "max" : 23.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "222 Grays Inn Rd, London, WC1X 8HB", "locations" : [ "222 Grays Inn Rd", "London", "WC1X 8HB" ], "timestamp" : "2026-06-16T00:52:45.991", "fingerprint" : "a2ec1ec4c62081a95314f9de379003ab931a0727f050ebc4f4d76e7751030da2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tcs/jobs/6353972003", "externalId" : "6353972003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cheltenham", "state" : "Gloucestershire", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.8995685,-2.0711559" } ], "locationText" : "Cheltenham, Gloucestershire, United Kingdom", "experienceMinYears" : 1, "professionalSkills" : [ "Complex care", "Personal care", "Manual handling" ], "majorSkills" : "Complex care, Person-centered care", "majorSkillsList" : [ "Complex care", "Person-centered care" ], "coreResponsibilities" : "Support adult male, Attend community events, Support at home, Build trust with individuals, Build trust with families, Create safe environments, Empower people to take trips, Empower people to reconnect with hobbies, Empower people to thrive in community", "domainKnowledge" : "Complex health needs", "domainList" : [ "complex-health-needs" ], "domainSpecificKnowledge" : [ "Complex health needs" ], "continuousLearning" : "Refresher courses; Specialist practical training; Shadow shifts; Sign offs from nurse", "specialRequirements" : "Manual driving license, Comfortable with dogs, Comfortable with animals", "outcomesObjectives" : "Help people live life to the fullest; Help people remain at home; Help people maintain independence; Help people enjoy things that matter; Help people live with dignity; Help people live with choice; Help people live with joy", "qualificationsBasic" : "12 months UK care experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Community Healthcare Assistant – Complex Care (Female) Location: Cheltenham, Gloucestershire Shifts: Days - 07:00-15:00, 07:00-20:00 & 14:00-23:00 Pay Rates (including holiday pay): Days: £18.56 per hour Nights: £20.83 per hour Weekends: £23.07 per hour At Thornbury Community Services, we believe everyone deserves the chance to live life to the fullest. We’re looking for healthcare assistants who want to make a real difference - helping people with complex health needs remain at home, maintain independence, and enjoy the things that matter most to them. Your role goes beyond practical care. You’ll build trust with individuals and their families, create safe environments, and empower people to take trips, reconnect with hobbies, and thrive in their own community. Every shift is an opportunity to change a life. Why This Role Matters Joining Thornbury means being part of something bigger - giving people the chance to live with dignity, choice, and joy despite complex health needs. In the role, you will support an adult male in living an independent life, attending events in the community as well as supporting at home. You will need to have a manual driving license and be comfortable working in an environment with dogs and other animals. What We’re Looking For We’re seeking healthcare assistants who are: · Compassionate and resilient, with a genuine passion for person-centered care. · Experienced in UK care (minimum 12 months). · Skilled in key areas such as: Exposure to clinical complex care Personal care Manual handling Your Benefits as a TCS Healthcare Assistant We value our team and offer a package designed to support your career and wellbeing: · 24/7 Support: Clinical and operational teams available whenever you need them. · Employee Assistance Programme: Round-the-clock wellbeing support. · Upskilling & Training: Access refresher courses and specialist practical training. Shadow shifts and sign offs from a qualified nurse. Apply Today If you want a role where your care changes lives and creates possibilities, apply now. Questions? 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Work with analytics teams; Work with business stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Healthcare data; Claims data; Clinical records; Healthcare interoperability; FHIR; HL7; Machine learning workflows; LLM workflows", "domainList" : [ "healthcare-data", "claims-data", "clinical-records", "healthcare-interoperability", "fhir", "hl7", "machine-learning-workflows", "llm-workflows" ], "domainSpecificKnowledge" : [ "Healthcare data", "Claims data", "Clinical records", "Healthcare interoperability", "FHIR", "HL7", "Machine learning workflows", "LLM workflows" ], "toolProficiency" : [ "Dbt", "Airflow" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "8+ years experience, Deep expertise SQL, Modern data transformation frameworks, Python expertise, Large-scale analytical databases, Cloud data platforms experience, Data modeling understanding, ETL/ELT design understanding, Data lifecycle management understanding, Support business-critical reporting, Support analytical workloads, Improve data reliability, Improve operational maturity", "qualificationsPreferred" : "Experience with healthcare data, Experience with claims data, Experience with clinical records, Familiarity with FHIR, Familiarity with HL7, Experience supporting ML workflows, Experience supporting LLM workflows", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT PIVOTAL HEALTH Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape. Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, they’re often administrative-heavy, time-consuming, and difficult to navigate without the right tools. Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement they’re entitled to; without adding more work to already stretched teams. Our full-service IDR solution is just the starting point. We’re building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey. ABOUT THE ROLE Pivotal Health is building a clinical data platform to generate stronger evidence on behalf of providers. As our data footprint grows, we need dedicated data engineering leadership to build reliable pipelines, trusted datasets, and scalable warehouse infrastructure. This role exists to ensure that data becomes a strategic asset rather than a collection of disconnected systems. As a Staff Data Engineer, you will help design and implement data pipelines, warehouse models, transformation frameworks, and operational processes that support analytics and evidence generation. You will work closely with software engineers, analytics teams, and business stakeholders to ensure data is accurate, accessible, and actionable. This role is well suited for someone who enjoys turning complex data ecosystems into simple, reliable platforms. You'll have the opportunity to influence both architecture and execution while helping shape how Pivotal leverages healthcare data in the future. WHAT YOU’LL DO - Own data pipeline development. Build and maintain reliable pipelines that ingest, transform, and deliver healthcare data across the organization. - Design warehouse data models. Create scalable schemas and data structures that support analytics, reporting, and evidence generation. - Lead data transformation strategy. Establish frameworks and standards that improve consistency, maintainability, and performance. - Ensure data quality and trust. Implement validation, reconciliation, monitoring, and alerting processes across critical datasets. - Support clinical data integration initiatives. Help incorporate new clinical data sources into the warehouse ecosystem. - Optimize warehouse performance. Improve query efficiency, storage utilization, and processing costs as data volumes grow. - Partner with stakeholders on data requirements. Translate business questions into durable data solutions and trusted datasets. - Improve operational excellence. Develop tooling and processes that increase reliability and reduce manual intervention. - Mentor data engineers and analysts. Share best practices and elevate technical standards across the data organization. WHO YOU ARE - 8+ years of experience building production data pipelines and warehouse solutions. - Deep expertise in SQL and modern data transformation frameworks and Python. - Experience working with large-scale analytical databases and cloud data platforms. - Strong understanding of data modeling, ETL/ELT design, and data lifecycle management. - Experience supporting business-critical reporting or analytical workloads. - Proven ability to improve data reliability and operational maturity. - Comfortable navigating ambiguity and helping define solutions where requirements are still emerging. - Strong ownership mindset with a focus on building durable systems rather than one-off solutions. NICE TO HAVES - Experience working with healthcare data, claims data, or clinical records. - Familiarity with healthcare interoperability standards such as FHIR or HL7. - Experience supporting machine learning or LLM-enabled data workflows. WHY YOU’LL LOVE WORKING HERE We’re a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers. While we primarily hire around our core hubs–Los Angeles and New York–we remain open to exceptional talent outside those regions. Remote and hybrid flexibility varies by role and team, and is outlined in each job description. If you’re excited by solving complex problems and making a real-world impact, we’d love to hear from you. Benefits Include: - Competitive compensation, including equity - Full health, dental, and vision coverage - Retirement savings plan through 401(k) - Flexible time off - Opportunities for company-wide connection and events Ready to Make an Impact? We’re building something meaningful; and we want you on the team. Bring your ideas, curiosity, and drive, and let’s transform healthcare reimbursement together. EMPLOYMENT INFORMATION Work Authorization Candidates must be authorized to work in the United States without current or future employer sponsorship. Equal Employment Opportunity Pivotal Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status. Reasonable Accommodations Pivotal Health provides reasonable accommodations for qualified individuals with disabilities in accordance with applicable laws. If you need assistance during the application or interview process, please let us know. Background Checks Employment is contingent upon successful completion of applicable background checks, where permitted by law. At-Will Employment Employment with Pivotal Health is at-will and may be terminated by either party at any time, with or without cause or notice, in accordance with applicable law.", "summaryDescription" : "Staff Data Engineer, Data Warehouse at Pivotal Health. Skills: Data warehousing, Data pipelines, Data modeling. Own data pipeline development. Build reliable pipelines", "createdAt" : "2026-06-14T05:00:44.211", "lastUpdated" : "2026-06-15T05:03:43.031", "ingestTimestamp" : "2026-06-14T05:00:44.211", "mongoId" : "6a2c8d7074d8ee00a097900a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 230000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Warehouse data models", "Data transformation strategy", "Data quality", "Data trust", "Clinical data integration", "Warehouse performance optimization", "Query efficiency", "Storage utilization", "Processing costs", "Leadership", "Mentoring", "Critical thinking", "Data warehousing", "Data pipelines", "Data modeling", "Data lifecycle management", "Operational excellence", "Roadmap planning", "Healthcare data", "Claims data", "Clinical records", "Healthcare interoperability", "FHIR", "HL7", "Machine learning workflows", "LLM workflows", "Dbt", "Airflow" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 505.82257, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a7f9bc74574cbbb48a1", "title" : "Senior Data Solutions Lead, Data Collection Excellence", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 74500.0, "max" : 130300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:30.204", "fingerprint" : "84faf7bf5c24c4b3f6c7738581ffd13beb18759274a180ac3b1eb7a9d13a3d84", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3197054/apply", "externalId" : "3ecf8490-6a1c-44a7-8769-925b69a3d4a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ML, Gen AI", "professionalSkills" : [ "Technical advisory", "Partnership building", "Workflow feasibility", "Annotation scalability" ], "hardSkillsList" : [ "ML workflow capabilities", "Collection health metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML workflow capabilities", "level" : "intermediate" }, { "name" : "Collection health metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data collection, ML solutions, Customer success", "majorSkillsList" : [ "Data collection", "ML solutions", "Customer success" ], "coreResponsibilities" : "Drive ML/GenAI solutions, Document ML/GenAI solutions, Transform research objectives, Create data collection requirements, Own global team improvement projects, Coordinate across teams, Ensure seamless delivery, Ensure stakeholder alignment, Own relationships with customer scientists, Provide expert consultation, Monitor collection health metrics, Optimize collection health metrics, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Author technical documentation, Influence technical guidelines, Author technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams; Global team", "projectManagementSkills" : [ "Project management", "Program management" ], "domainKnowledge" : "ML data solutions; ML workflow capabilities; Data collection best practices; Annotation scalability", "domainList" : [ "ml-data-solutions", "ml-workflow-capabilities", "data-collection-best-practices", "annotation-scalability" ], "domainSpecificKnowledge" : [ "ML data solutions", "ML workflow capabilities", "Data collection best practices", "Annotation scalability" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation; Technical guidelines", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Deliver meaningful change; Make global process efficient", "qualificationsBasic" : "Experience working with customers, Analytical skills, Attention to detail, Effective communication abilities", "qualificationsPreferred" : "Master's degree, Experience in project management, Experience in program management, 4+ years of technical support experience, Experience in leadership positions, Experience in account management positions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you have experience managing complex technical projects from end to end? We're looking for a Senior Data Solutions Lead to join our growing team! About the Role: As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on high complexity ML/Gen AI data collections and manage emerging customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them, while simultaneously making global process more efficient. Key job responsibilities What You'll Do: Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Own global team improvement projects Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide expert consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence and author technical documentation and guidelines Basic Qualifications: - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities Preferred Qualifications: - Master's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - Experience in project or program management - 4+ years of technical support experience, or experience in leadership or account management positions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 74,500.00 - 130,300.00 USD annually", "summaryDescription" : "Senior Data Solutions Lead, Data Collection Excellence at Amazon.com Services LLC. Skills: Data collection, ML solutions, Customer success. Drive ML/GenAI solutions. Document ML/GenAI solutions", "postedDate" : "2026-06-13T10:59:13.338", "createdAt" : "2026-06-13T10:59:13.338", "lastUpdated" : "2026-06-15T05:29:30.204", "ingestTimestamp" : "2026-06-13T10:59:13.338", "mongoId" : "69c94a7f9bc74574cbbb48a1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3197054/apply", "salaryAnnualMin" : 74500, "salaryAnnualMax" : 130300, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "ML workflow capabilities", "Collection health metrics", "Leadership", "Data collection", "ML solutions", "Customer success", "Technical advisory", "Partnership building", "Workflow feasibility", "Annotation scalability", "Project management", "Program management", "ML data solutions", "Data collection best practices" ], "skillCount" : 14, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 501.24078, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69f036824c40e2acd1da5907", "title" : "Software Engineer II, Autonomy Platform, Data and Tools", "company" : "Amazon.com Services LLC", "industry" : "Software Development, subsidiaries", "salary" : { "min" : 143700.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "North Reading, Massachusetts, USA", "locations" : [ "North Reading, Massachusetts, USA" ], "timestamp" : "2026-06-15T03:15:15.753", "fingerprint" : "5be1737fbd3bda3f59e9c3b1cdad1d403a286c2505527333afb9faed3ffee20e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384496/apply", "externalId" : "046a3e67-906f-4a5b-aa08-482387f1767d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Reading", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5750939,-71.0786653" } ], "locationText" : "North Reading, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "CUDA, Unix, AWS, C++", "professionalSkills" : [ "Software architecture", "Code reviews", "Source control", "Continuous deployments", "Operational excellence", "Embedded development", "Device technologies" ], "hardSkillsList" : [ "Software development", "Algorithm optimization", "Hardware integration", "ML development", "Remote diagnostics", "Robot control", "Software interfaces" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Algorithm optimization", "level" : "intermediate" }, { "name" : "Hardware integration", "level" : "intermediate" }, { "name" : "ML development", "level" : "intermediate" }, { "name" : "Remote diagnostics", "level" : "intermediate" }, { "name" : "Robot control", "level" : "intermediate" }, { "name" : "Software interfaces", "level" : "intermediate" } ], "majorSkills" : "Autonomy software, Platform development, ML pipelines, Embedded systems", "majorSkillsList" : [ "Autonomy software", "Platform development", "ML pipelines", "Embedded systems" ], "coreResponsibilities" : "Optimize runtime performance, Integrate new sensors, Integrate hardware components, Develop Nvidia Jetpack platform, Customize Nvidia Jetpack OS, Build data pipelines, Build ML tools, Develop software for diagnostics, Develop software for recovery, Develop software for control, Build visualization tools, Analyze robot behavior, Debug robot behavior, Design software interfaces, Develop software interfaces", "teamCollaboration" : "Engineers and scientists", "domainKnowledge" : "Autonomous mobility; Warehouse robots; Onboard mapping; Perception software; Motion planning; ML training; ML deployment; Computer vision; SLAM; Robotics", "domainList" : [ "autonomous-mobility", "warehouse-robots", "onboard-mapping", "perception-software", "motion-planning", "ml-training", "ml-deployment", "computer-vision", "slam", "robotics" ], "domainSpecificKnowledge" : [ "Autonomous mobility", "Warehouse robots", "Onboard mapping", "Perception software", "Motion planning", "ML training", "ML deployment", "Computer vision", "SLAM", "Robotics" ], "toolProficiency" : [ "Nvidia Jetpack", "Yocto", "Buildroot" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "3+ years software development experience, Experience programming one language, Knowledge of software engineering best practices", "qualificationsPreferred" : "Experience with CUDA kernels, Experience with ML kernels, Experience in Unix, Experience with device technologies, Familiarity flashing firmware, Basic device debugging, Familiarity reading device logs, Experience building tools, Experience in cloud development, Experience in embedded development, Experience building custom distributions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Robotics Autonomous Mobility software team develops the autonomy software that powers Proteus, Amazon’s first fully autonomous warehouse robot. We are growing and are looking for a Software Development Engineer to join our Platform, Data and Tools team. You will be part of an exceptional group of engineers building the platform and architecture for our onboard mapping, perception, motion planning and control software. In addition, you will collaborate with engineers and scientists across the team to develop and enhance our ML training and deployment pipelines. Key job responsibilities Specific areas of focus may include (but are not limited too): - Optimizing runtime performance of core algorithms by exploiting underlying hardware acceleration capabilities - Integrating new sensors and hardware components into the autonomy software stack - Developing and customizing our Nvidia Jetpack based platform and OS. - Building data pipelines and tools to enable our ML-development flywheel - Developing software to enable remote diagnostics, recovery and control of autonomous robots - Building visualization tools for analyzing and debugging robot behavior - Designing and developing software interfaces to enable hardware testing and manufacturing processes. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team We are a multi-disciplinary organization of collaborative Applied Scientists and Software Engineers with expertise in Computer Vision, SLAM, motion planning, controls, embedded development, and more. Our mission is to deliver autonomous navigation software that utilizes state-of-the-art sensor technologies and algorithms to enable safe and efficient operation of autonomous mobile robots throughout the Amazon fulfillment and transportation network. We take this mission seriously and work hard to achieve it, but we have a lot of fun along the way. After all, what's more fun than building robots? Basic Qualifications: - 3+ years of non-internship professional software development experience - Experience programming with at least one software programming language - 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 Preferred Qualifications: - Experience with CUDA kernels or ML/low-level kernels - Experience in Unix, or experience working with device technologies under development, familiarity with flashing firmware, basic device debugging and familiarity with reading/pulling device logs - Experience building tools for building, testing, releasing or monitoring - Experience working in a cloud based development and production environment such as AWS - Experience in embedded development in C/C++ - Experience building custom distributions using tools such as Yocto or Buildroot 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, MA, North Reading - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Engineer II, Autonomy Platform, Data and Tools at Amazon.com Services LLC. Skills: Autonomy software, Platform development, ML pipelines, Embedded systems. Optimize runtime performance. Integrate new sensors", "postedDate" : "2026-06-13T10:02:14.162", "createdAt" : "2026-06-13T10:02:14.162", "lastUpdated" : "2026-06-15T03:15:15.753", "ingestTimestamp" : "2026-06-13T10:02:14.162", "mongoId" : "69f036824c40e2acd1da5907", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384496/apply", "salaryAnnualMin" : 143700, "salaryAnnualMax" : 194400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "Algorithm optimization", "Hardware integration", "ML development", "Remote diagnostics", "Robot control", "Software interfaces", "Autonomy software", "Platform development", "ML pipelines", "Embedded systems", "Software architecture", "Code reviews", "Source control", "Continuous deployments", "Operational excellence", "Embedded development", "Device technologies", "Autonomous mobility", "Warehouse robots", "Onboard mapping", "Perception software", "Motion planning", "ML training", "ML deployment", "Computer vision", "SLAM", "Robotics", "Nvidia Jetpack", "Yocto", "Buildroot" ], "skillCount" : 31, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 500.36163, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cafed74d8ee00a09d83d0", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:00:16.022", "fingerprint" : "631e7c202e064d4afe1cf26218eca91980ca6f7ea5bbd9e6d2a86d8ba1e5154e", "source" : "ashby", "language" : "en", "applyUrl" : "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, "_score" : 499.21912, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca40074d8ee00a09af553", "title" : "Community Healthcare Assistant – Complex Care", "company" : "Thornbury Community Services", "industry" : "Healthcare", "salary" : { "min" : 18.0, "max" : 23.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "222 Grays Inn Rd, London, WC1X 8HB", "locations" : [ "222 Grays Inn Rd", "London", "WC1X 8HB" ], "timestamp" : "2026-06-16T01:29:48.268", "fingerprint" : "609ab49bf1fdd54be7a4c3505ae2b476c9a5c267b5627d36892c98cebaf971cb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tcs/jobs/7767038003", "externalId" : "7767038003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gloucester", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.8653705,-2.2458192" } ], "locationText" : "Gloucester, United Kingdom", "experienceMinYears" : 12, "professionalSkills" : [ "Clinical care", "Personal care", "Manual handling" ], "majorSkills" : "Complex care, Patient management", "majorSkillsList" : [ "Complex care", "Patient management" ], "coreResponsibilities" : "Manage clinical needs, Manage social needs, Build trust with individuals, Build trust with families, Create safe environments, Empower people to take trips, Empower people to reconnect with hobbies, Empower people to thrive", "domainKnowledge" : "Complex health needs", "domainList" : [ "complex-health-needs" ], "domainSpecificKnowledge" : [ "Complex health needs" ], "documentationSkills" : "Clinical documentation", "continuousLearning" : "Refresher courses; Specialist practical training; Shadow shifts; Clinical sign-off", "specialRequirements" : "Work in an environment with cats & dogs", "outcomesObjectives" : "Help people remain at home; Help people maintain independence; Help people enjoy life", "qualificationsBasic" : "12 months UK care experience", "qualificationsPreferred" : "Experience with children, Comfortable with cats and dogs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Community Healthcare Assistant – Complex Care Location: Gloucester Shifts: Monday-Sunday: 08:00-20:00 & 20:00-08:00 (24/7) Pay Rates (including holiday pay): Days: £18.56 per hour Nights: £20.83 per hour Weekends: £23.07 per hour At Thornbury Community Services, we believe everyone deserves the chance to live life to the fullest. We’re looking for healthcare assistants who want to make a real difference - helping people with complex health needs remain at home, maintain independence, and enjoy the things that matter most to them. Your role goes beyond practical care. You’ll build trust with individuals and their families, create safe environments, and empower people to take trips, reconnect with hobbies, and thrive in their own community. Every shift is an opportunity to change a life. Why This Role Matters Joining Thornbury means being part of something bigger - giving people the chance to live with dignity, choice, and joy despite complex health needs. We would provide training & shadow shifts with a full clinical sign-off to support this client. You will work 1:1 managing all clinical and social needs for this young female. You should be committed and experienced with children & comfortable working in an environment with cats & dogs. What We’re Looking For We’re seeking healthcare assistants who are: · Compassionate and resilient, with a genuine passion for person-centered care. · Experienced in UK care (minimum 12 months). · Skilled in key areas such as: Exposure to clinical complex care Personal care Manual handling Your Benefits as a TCS Healthcare Assistant We value our team and offer a package designed to support your career and wellbeing: · 24/7 Support: Clinical and operational teams available whenever you need them. · Employee Assistance Programme: Round-the-clock wellbeing support. · Upskilling & Training: Access refresher courses and specialist practical training. Shadow shifts and sign offs from a qualified nurse. Apply Today If you want a role where your care changes lives and creates possibilities, apply now. Questions? Contact us at: \uD83D\uDCE7 applications@thornburycommunityservices.co.uk \uD83D\uDCDE 0333 323 3762 #HCAGLST", "summaryDescription" : "Community Healthcare Assistant – Complex Care at Thornbury Community Services. Skills: Complex care, Patient management. Manage clinical needs. Manage social needs", "postedDate" : "2026-06-14T20:07:20.436", "createdAt" : "2026-06-14T20:07:20.436", "lastUpdated" : "2026-06-16T01:29:48.268", "ingestTimestamp" : "2026-06-14T20:07:20.436", "mongoId" : "6a2ca40074d8ee00a09af553", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Complex care", "Patient management", "Clinical care", "Personal care", "Manual handling", "Complex health needs" ], "skillCount" : 6, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 497.60938, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cbd4874d8ee00a09fd9e0", "title" : "Complex Care Healthcare Assistant", "company" : "NurtureCare", "industry" : "Healthcare", "salary" : { "min" : 23000.0, "max" : 28000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the UK market baseline for an Entry-level Complex Care Healthcare Assistant in Chesterfield, adjusted for the healthcare industry and company size." }, "location" : "Chesterfield, GB", "locations" : [ "Chesterfield", "GB" ], "timestamp" : "2026-06-16T02:02:56.733", "fingerprint" : "3fab61c9ba0cff9f5a87e70897835bd659d820e5bab5a03dba139d3ec0bd3315", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://nurturecare.breezy.hr/p/956eaad2a6bb01-complex-care-healthcare-assistant-s45-8et", "externalId" : "956eaad2a6bb01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chesterfield", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.2352134,-1.4264097" } ], "locationText" : "Chesterfield, United Kingdom", "employmentType" : "CONTRACT", "coreResponsibilities" : "Support children and young adults, Provide complex health support, Provide additional health support, Work in home environment", "domainKnowledge" : "Complex health needs; Additional health needs", "domainList" : [ "complex-health-needs", "additional-health-needs" ], "domainSpecificKnowledge" : [ "Complex health needs", "Additional health needs" ], "workSiteFlexibility" : "Onsite", "rawDescription" : "NurtureCare is commissioned to support both children and young adults with complex health and additional health needs within the home environment. About our young adult - I am a soon to be 18 year old teenage male and I like to listen to quiet voices and silly jokes. I love Man U, Horrid Henry and", "summaryDescription" : "Complex Care Healthcare Assistant at NurtureCare. Support children and young adults. Provide complex health support", "createdAt" : "2026-06-14T19:28:30.620", "lastUpdated" : "2026-06-16T02:02:56.733", "ingestTimestamp" : "2026-06-14T19:28:30.620", "mongoId" : "6a2cbd4874d8ee00a09fd9e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Complex health needs", "Additional health needs" ], "skillCount" : 2, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 494.1327, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cbd4874d8ee00a09fd9df", "title" : "Complex Care Healthcare Assistant", "company" : "NurtureCare", "industry" : "Healthcare", "salary" : { "min" : 21000.0, "max" : 26000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry level Complex Care Healthcare Assistant in Nottinghamshire, GB, considering the healthcare industry and part-time employment." }, "location" : "Nottinghamshire, GB", "locations" : [ "Nottinghamshire", "GB" ], "timestamp" : "2026-06-15T22:32:20.972", "fingerprint" : "5f7ba65b8c632133dc15d8f8f5fc99ceb1518abaf0db7722623895955e34b115", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://nurturecare.breezy.hr/p/27d776cb12ae01-complex-care-healthcare-assistant-nottinghamshire-derbyshire", "externalId" : "27d776cb12ae01", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Nottinghamshire", "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Nottinghamshire, United Kingdom", "employmentType" : "PART_TIME", "coreResponsibilities" : "Support children and young adults, Provide complex health support, Provide additional health support, Work in home environment, Work day shifts, Work night shifts, Work waking nights", "domainKnowledge" : "Complex health needs; Additional health needs", "domainList" : [ "complex-health-needs", "additional-health-needs" ], "domainSpecificKnowledge" : [ "Complex health needs", "Additional health needs" ], "specialRequirements" : "Adult care, 24 hours availability", "qualificationsBasic" : "Full UK driving license", "workSiteFlexibility" : "Flexible", "rawDescription" : "NurtureCare is commissioned to support both children and young adults with complex health and additional health needs within the home environment. Fully Flexible Day and Night Shifts, Waking Nights. Current hours and locations available: - NG21 - Adult care - 24 hours - MUST hold a full UK driving", "summaryDescription" : "Complex Care Healthcare Assistant at NurtureCare. Support children and young adults. Provide complex health support", "createdAt" : "2026-06-14T18:37:29.798", "lastUpdated" : "2026-06-15T22:32:20.972", "ingestTimestamp" : "2026-06-14T18:37:29.798", "mongoId" : "6a2cbd4874d8ee00a09fd9df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Complex health needs", "Additional health needs" ], "skillCount" : 2, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 492.63596, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c9f2374d8ee00a099f5da", "title" : "Production & Tools Manager", "company" : "Maleda Tech", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Production & Tools Manager in the United States, adjusted for a Manager seniority level and the Technology industry." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:23:43.930", "fingerprint" : "d18e63200b57058aaae315970962b410c051d34206082189cc0de54e0877ddb0", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://maleda-tech.breezy.hr/p/0d12c693638e-production-tools-manager", "externalId" : "0d12c693638e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Operational metrics" ], "hardSkills" : [ { "name" : "Operational metrics", "level" : "intermediate" } ], "majorSkills" : "Process management, Continuous improvement", "majorSkillsList" : [ "Process management", "Continuous improvement" ], "coreResponsibilities" : "Lead production operation, Build outbound campaigns, Launch outbound campaigns", "remoteFriendly" : true, "rawDescription" : "About the RoleA global technology company is seeking a Production & Tools Manager to lead the end-to-end production operation for its outbound communications team. This team builds and launches high volumes of email, push, SMS, and in-app campaigns reaching millions of users worldwide, includin", "summaryDescription" : "Production & Tools Manager at Maleda Tech. Skills: Process management, Continuous improvement. Lead production operation. Build outbound campaigns", "createdAt" : "2026-06-14T01:11:23.957", "lastUpdated" : "2026-06-15T07:23:43.930", "ingestTimestamp" : "2026-06-14T01:11:23.957", "mongoId" : "6a2c9f2374d8ee00a099f5da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Operational metrics", "Process management", "Continuous improvement", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 491.8246, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c6aa274d8ee00a090d03b", "title" : "Software Engineer, Engineering Excellence", "company" : "StraitsX", "industry" : "FinTech", "salary" : { "min" : 1.85E8, "max" : 2.75E8, "currency" : "IDR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Software Engineer in Jakarta, Indonesia, adjusted for the FinTech industry and company size." }, "location" : "Jakarta, Jakarta, Indonesia", "locations" : [ "Jakarta", "Jakarta", "Indonesia", "Kuala Lumpur", "Kuala Lumpur", "Malaysia", "Singapore" ], "timestamp" : "2026-06-16T05:22:52.080", "fingerprint" : "173befa47d64a59a6e6561efbcba4d40f8debe8bc5ac359ae6fa17f02a9e55e7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/straitsx/jobs/4882518101", "externalId" : "4882518101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jakarta", "state" : "Jakarta", "country" : "Indonesia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "-6.1726007,106.8785732" } ], "locationText" : "Jakarta, Jakarta, Indonesia", "experienceMinYears" : 2, "technicalSkills" : "Ruby, Golang, JavaScript, TypeScript, MySQL, PostgreSQL", "professionalSkills" : [ "System design", "System architecture", "Software development" ], "hardSkillsList" : [ "API development", "Database querying", "Performance optimization" ], "hardSkills" : [ { "name" : "API development", "level" : "intermediate" }, { "name" : "Database querying", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" } ], "coreResponsibilities" : "Design internal tools, platforms, and AI-powered solutions, Build internal tools, platforms, and AI-powered solutions, Maintain internal tools, platforms, and AI-powered solutions, Support tooling used by Engineering, Product, and Operations, Enhance tooling used by Engineering, Product, and Operations, Identify performance bottlenecks, Identify operational inefficiencies, Debug systems, Troubleshoot systems, Implement solutions to improve system reliability, Implement solutions to improve system scalability, Implement solutions to improve system throughput, Contribute to observability initiatives, Contribute to monitoring initiatives, Contribute to operational excellence initiatives, Implement AI security guardrails, Maintain AI security guardrails, Implement AI governance mechanisms, Maintain AI governance mechanisms, Evaluate risks associated with AI-enabled systems, Mitigate risks associated with AI-enabled systems, Contribute to development of engineering standards, Contribute to adoption of engineering standards, Promote secure software development, Promote maintainable software development, Promote reliable software development, Partner with engineering teams, Understand challenges, Deliver impactful solutions, Gather feedback from internal stakeholders, Continuously improve developer experience", "teamCollaboration" : "Engineering teams; Product teams; Operations teams; Trading Desk teams; Blockchain teams; Payment Rails teams; Treasury teams", "domainKnowledge" : "Payment systems; Fintech infrastructure; Blockchain technologies; Distributed systems", "domainList" : [ "payment-systems", "fintech-infrastructure", "blockchain-technologies", "distributed-systems" ], "domainSpecificKnowledge" : [ "Payment systems", "Fintech infrastructure", "Blockchain technologies", "Distributed systems" ], "innovationCreativity" : "AI-powered tools", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "2 years of professional software engineering experience, Deliver reliable, maintainable, and scalable software solutions, Proficiency in Ruby, Golang, JavaScript, or TypeScript, Experience with modern backend services, APIs, and distributed systems, Understanding of relational databases, Experience profiling, troubleshooting, and optimizing database queries and application performance, Experience building developer tools, internal platforms, or AI-powered applications, Solid understanding of software design principles, system architecture, testing practices, and CI/CD pipelines, Problem-solving skills", "qualificationsPreferred" : "Familiarity with AI security practices, guardrails, or governance frameworks, Basic understanding of payment systems, fintech infrastructure, or blockchain technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About The Role As a Software Engineer on the Engineering Excellence team, you will play a key role in improving developer productivity, strengthening platform reliability, and enhancing security across our engineering organization. You will design, build, and maintain internal platforms, AI-powered tools, and engineering standards that enable teams across Transaction Experience, Payment Rails, Trading Desk, Treasury, Account & Identity, Blockchain, and Card Issuance to move faster and operate more effectively. As part of the Engineering Excellence team, you will help reduce engineering friction, improve system observability and reliability, and promote secure, scalable development practices across the organization. What You Will Do Design, build, and maintain internal tools, platforms, and AI-powered solutions that improve developer productivity and operational efficiency. Support and enhance tooling used by Engineering, Product, and Operations teams. Identify performance bottlenecks and operational inefficiencies across our systems. Debug, troubleshoot, and implement solutions to improve system reliability, scalability, and throughput. Contribute to observability, monitoring, and operational excellence initiatives. Implement and maintain AI security guardrails and governance mechanisms to ensure the safe and compliant adoption of AI technologies. Help evaluate and mitigate risks associated with AI-enabled systems and workflows. Contribute to the development and adoption of engineering standards, guidelines, and best practices. Promote secure, maintainable, and reliable software development across teams. Partner closely with engineering teams across Trading Desk, Blockchain, Payment Rails, Treasury, and other domains to understand challenges and deliver impactful solutions. Gather feedback from internal stakeholders and continuously improve the developer experience across the organization. What We Are Looking For At least 2 years of professional software engineering experience building and operating production systems. Demonstrated ability to deliver reliable, maintainable, and scalable software solutions. Proficiency in one or more of the following languages: Ruby, Golang, JavaScript, or TypeScript. Experience working with modern backend services, APIs, and distributed systems. Strong understanding of relational databases such as MySQL and PostgreSQL. Experience profiling, troubleshooting, and optimizing database queries and application performance. Experience building developer tools, internal platforms, or AI-powered applications. Familiarity with AI security practices, guardrails, or governance frameworks is a plus. Basic understanding of payment systems, fintech infrastructure, or blockchain technologies is preferred. Solid understanding of software design principles, system architecture, testing practices, and CI/CD pipelines. Strong problem-solving skills and a passion for improving developer productivity and engineering excellence.", "summaryDescription" : "Software Engineer, Engineering Excellence at StraitsX. Design internal tools, platforms, and AI-powered solutions. Build internal tools, platforms, and AI-powered solutions", "postedDate" : "2026-06-14T20:07:24.887", "createdAt" : "2026-06-14T20:07:24.887", "lastUpdated" : "2026-06-16T05:22:52.080", "ingestTimestamp" : "2026-06-14T20:07:24.887", "mongoId" : "6a2c6aa274d8ee00a090d03b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "API development", "Database querying", "Performance optimization", "System design", "System architecture", "Software development", "Payment systems", "Fintech infrastructure", "Blockchain technologies", "Distributed systems" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 487.91708, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305c97f292fd229cf629b1", "title" : "Complex Care Coordinator (BMC Clinic & Southampton Shelter)", "industry" : "Healthcare", "salary" : { "min" : 72000.0, "max" : 98000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Complex Care Coordinator in Boston, MA, adjusted for mid-seniority and the healthcare industry." }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "RN license preferred" ], "timestamp" : "2026-06-16T09:27:36.178", "fingerprint" : "c91227c4a738ad7107978882197eb9129459abb11e80bb0c61a4772430482647", "source" : "jazzhr", "language" : "en", "externalId" : "IXjsqXLSqL", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "professionalSkills" : [ "Care coordination" ], "majorSkills" : "Complex care management", "majorSkillsList" : [ "Complex care management" ], "coreResponsibilities" : "Coordinate patient care, Develop care plans, Liaise with healthcare providers, Liaise with community resources, Monitor patient progress, Document patient interactions, Advocate for patient needs", "teamCollaboration" : "Interdisciplinary teams; Community partners", "domainKnowledge" : "Chronic conditions; Mental health; Substance abuse", "domainList" : [ "chronic-conditions", "mental-health", "substance-abuse" ], "domainSpecificKnowledge" : [ "Chronic conditions", "Mental health", "Substance abuse" ], "toolProficiency" : [ "Electronic health records" ], "communicationSkills" : "Patient education", "documentationSkills" : "Clinical documentation", "problemSolvingSkills" : "Problem assessment", "outcomesObjectives" : "Improve patient outcomes; Reduce hospital readmissions", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, Experience with electronic health records preferred", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Complex Care Coordinator (BMC Clinic & Southampton Shelter). Skills: Complex care management. Coordinate patient care. Develop care plans", "createdAt" : "2026-06-15T22:23:25.692", "lastUpdated" : "2026-06-16T09:27:36.178", "ingestTimestamp" : "2026-06-15T22:23:25.692", "mongoId" : "6a305c97f292fd229cf629b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 72000, "salaryAnnualMax" : 98000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Complex care management", "Care coordination", "Chronic conditions", "Mental health", "Substance abuse", "RN license preferred", "Electronic health records" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 485.5808, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2cfe6074d8ee00a0ab365d", "title" : "Manufacturing Engineer, Digital Tools", "company" : "Anduril Industries", "industry" : "Manufacturing", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Manufacturing Engineer in Atlanta, adjusted for the Defense Technology industry and company size." }, "location" : "Atlanta, Georgia, United States", "locations" : [ "Atlanta", "Georgia", "United States" ], "timestamp" : "2026-06-16T06:26:39.717", "fingerprint" : "e2a30e8dd0479f997fe89097bfebbc90662bfc141203db6e22c4dbd1a3325484", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5009743007?gh_jid=5009743007", "externalId" : "5009743007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "MES, ERP, PLM", "professionalSkills" : [ "User empathy", "Stakeholder management", "Requirements gathering", "Solution conceptualization" ], "hardSkillsList" : [ "Manufacturing software strategy", "Process optimization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Manufacturing software strategy", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Digital manufacturing, Manufacturing software", "majorSkillsList" : [ "Digital manufacturing", "Manufacturing software" ], "coreResponsibilities" : "Develop and implement manufacturing software strategies, Enhance productivity, Reduce costs, Improve quality, Ensure alignment of manufacturing software roadmap, Monitor industry trends and best practices, Drive adoption of manufacturing software solutions, Own the feedback loop between users and developers, Create and maintain documentation of manufacturing software standard, Maintain best practices", "teamCollaboration" : "Cross-functional teams; Manufacturing leadership; Software leadership; Users and developers", "projectManagementSkills" : [ "Cross-functional projects" ], "domainKnowledge" : "ProductionOS manufacturing software; Defense technology; Military systems; AI-powered operating system; Autonomy; AI; Computer vision; Sensor fusion; Networking technology", "domainList" : [ "productionos-manufacturing-software", "defense-technology", "military-systems", "ai-powered-operating-system", "autonomy", "ai", "computer-vision", "sensor-fusion", "networking-technology" ], "domainSpecificKnowledge" : [ "ProductionOS manufacturing software", "Defense technology", "Military systems", "AI-powered operating system", "Autonomy", "AI", "Computer vision", "Sensor fusion", "Networking technology" ], "communicationSkills" : "Presentation skills; Conveying complex information", "documentationSkills" : "Documentation of standard instructions; Documentation of best practices", "innovationCreativity" : "Novel manufacturing software strategies", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "Access to U. S. export controlled information", "outcomesObjectives" : "Enhance productivity; Reduce costs; Improve quality", "qualificationsBasic" : "Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Software Engineering, User Experience Design, or related field, 5+ years of experience in a digital manufacturing environment, Familiarity with MES, ERP, and PLM systems, Ability to quickly understand current operations and potential issues, Strength working with manufacturing leadership to conceptualize solutions, Must be a U. S. Person", "qualificationsPreferred" : "Experience with how MES, ERP, and PLM systems interface with each other and with operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM: Anduril’s Digital Manufacturing team is seeking a Manufacturing Engineer, Digital Tools to join our team. The Digital Manufacturing team plays a pivotal role in optimizing manufacturing operations through the implementation and management of procedures and advanced digital solutions. The team ensures that manufacturing processes are efficient, scalable, and integrated with the latest industry standards. ABOUT THE JOB: As a Manufacturing Engineer, Digital Tools, you will be involved in the internal deployment and adoption of Anduril’s ProductionOS manufacturing software solutions. The right person for this role has strong technical and analytical skills that can be applied and implemented in a real world environment to drive outcomes for the business. WHAT YOU’LL DO: Work with manufacturing and software leadership to develop and implement novel manufacturing software strategies that enhance productivity, reduce costs, and improve quality. Collaborate with cross-functional teams to ensure alignment of manufacturing software roadmap with overall business objectives. Monitor industry trends and best practices to keep our manufacturing processes at the cutting edge. Drive adoption of manufacturing software solutions across the company, and own the feedback loop between the users and the developers. Create and maintain comprehensive documentation of manufacturing software standard instructions and best practices. REQUIRED QUALIFICATIONS: Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Software Engineering, User Experience Design, or related field. 5+ years of experience in a digital manufacturing environment, including familiarity with MES, ERP, and PLM systems and how they interface with each other and with operations. High sense of user empathy and the ability to manage and communicate with stakeholders. Ability to quickly understand current operations and potential issues on the product line and can speak the language. Strength working with manufacturing leadership to conceptualize solutions and gain / understand requirements Excellent communication and presentation skills, capable of conveying complex information in an understandable manner. Ability to work collaboratively in a team environment and lead cross-functional projects. Adept at managing multiple priorities in a fast-paced manufacturing environment. Must be a U. S. Person due to required access to U. S. export controlled information or facilities US Salary Range $111,000—$147,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Manufacturing Engineer, Digital Tools at Anduril Industries. Skills: Digital manufacturing, Manufacturing software. Develop and implement manufacturing software strategies. Enhance productivity", "postedDate" : "2026-06-14T19:28:11.346", "createdAt" : "2026-06-14T19:28:11.346", "lastUpdated" : "2026-06-16T06:26:39.717", "ingestTimestamp" : "2026-06-14T19:28:11.346", "mongoId" : "6a2cfe6074d8ee00a0ab365d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Manufacturing software strategy", "Process optimization", "Leadership", "Digital manufacturing", "Manufacturing software", "User empathy", "Stakeholder management", "Requirements gathering", "Solution conceptualization", "Cross-functional projects", "ProductionOS manufacturing software", "Defense technology", "Military systems", "AI-powered operating system", "Autonomy", "AI", "Computer vision", "Sensor fusion", "Networking technology" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 484.72787, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca40074d8ee00a09af550", "title" : "Complex Care Healthcare Assistant", "company" : "Thornbury Community Services", "industry" : "Healthcare", "salary" : { "min" : 18.0, "max" : 23.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "222 Grays Inn Rd, London, WC1X 8HB", "locations" : [ "222 Grays Inn Rd", "London", "WC1X 8HB" ], "certifications" : [ "Shadow shifts sign offs" ], "timestamp" : "2026-06-16T06:07:52.734", "fingerprint" : "d56b635eab0d09039563bb5297942f915db57077c1f84507fffa087b1aff5669", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tcs/jobs/6353976003", "externalId" : "6353976003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cheltenham", "state" : "Gloucestershire", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.8995685,-2.0711559" } ], "locationText" : "Cheltenham, Gloucestershire, United Kingdom", "experienceMinYears" : 1, "professionalSkills" : [ "Complex care", "Manual handling" ], "majorSkills" : "Person-centered care", "majorSkillsList" : [ "Person-centered care" ], "coreResponsibilities" : "Support individual at home, Support individual at events, Build trust with individuals, Build trust with families, Create safe environments, Empower people to take trips, Empower people to reconnect with hobbies, Empower people to thrive", "domainKnowledge" : "Complex health needs", "domainList" : [ "complex-health-needs" ], "domainSpecificKnowledge" : [ "Complex health needs" ], "continuousLearning" : "Refresher courses; Specialist practical training", "specialRequirements" : "Comfortable working with animals", "qualificationsBasic" : "12 months UK care experience", "qualificationsPreferred" : "Manual driving license, Experience with dogs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Community Healthcare Assistant – Complex Care (Female) Location: Cheltenham, Gloucestershire Shifts: Days - 07:00-15:00, 07:00-20:00 & 14:00-23:00 Pay Rates (including holiday pay): Days: £18.56 per hour Nights: £20.83 per hour Weekends: £23.07 per hour At Thornbury Community Services, we believe everyone deserves the chance to live life to the fullest. We’re looking for healthcare assistants who want to make a real difference - helping people with complex health needs remain at home, maintain independence, and enjoy the things that matter most to them. Your role goes beyond practical care. You’ll build trust with individuals and their families, create safe environments, and empower people to take trips, reconnect with hobbies, and thrive in their own community. Every shift is an opportunity to change a life. Why This Role Matters Joining Thornbury means being part of something bigger - giving people the chance to live with dignity, choice, and joy despite complex health needs. In the role, you will support an adult male in living an independent life, attending events in the community as well as supporting at home. You will need to have a manual driving license and be comfortable working in an environment with dogs and other animals. What We’re Looking For We’re seeking healthcare assistants who are: · Compassionate and resilient, with a genuine passion for person-centered care. · Experienced in UK care (minimum 12 months). · Skilled in key areas such as: Exposure to clinical complex care Personal care Manual handling Your Benefits as a TCS Healthcare Assistant We value our team and offer a package designed to support your career and wellbeing: · 24/7 Support: Clinical and operational teams available whenever you need them. · Employee Assistance Programme: Round-the-clock wellbeing support. · Upskilling & Training: Access refresher courses and specialist practical training. Shadow shifts and sign offs from a qualified nurse. Apply Today If you want a role where your care changes lives and creates possibilities, apply now. Questions? Contact us at: \uD83D\uDCE7 applications@thornburycommunityservices.co.uk \uD83D\uDCDE 0333 323 3762 #HCACH", "summaryDescription" : "Complex Care Healthcare Assistant at Thornbury Community Services. Skills: Person-centered care. Support individual at home. Support individual at events", "postedDate" : "2026-06-14T20:10:26.889", "createdAt" : "2026-06-14T20:10:26.889", "lastUpdated" : "2026-06-16T06:07:52.734", "ingestTimestamp" : "2026-06-14T20:10:26.889", "mongoId" : "6a2ca40074d8ee00a09af550", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Person-centered care", "Complex care", "Manual handling", "Complex health needs", "Shadow shifts sign offs" ], "skillCount" : 5, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 484.50232, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7e9e74d8ee00a095300a", "title" : "Manager of Conversation Analysis", "company" : "Authenticx", "industry" : "SaaS", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager of Conversation Analysis in Indianapolis, adjusted for SaaS industry and manager seniority." }, "location" : "Indianapolis, Indiana, United States", "locations" : [ "Indianapolis", "Indiana", "United States" ], "timestamp" : "2026-06-16T02:29:50.027", "fingerprint" : "9f1b54f14da0b2164f576ffe488840a0cdd93f4091d3741b275adfa3fae34102", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/authenticx/jobs/4280475009", "externalId" : "4280475009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Indianapolis", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7683331,-86.1583502" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Indianapolis, Indiana, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "AI models, Data Science", "professionalSkills" : [ "People management", "Methodological ownership", "Client-facing presence", "Analytical rigor", "Operational excellence" ], "hardSkillsList" : [ "Labeling methodology", "Rubric development", "Ground truth labeling", "Insights mining", "Performance standards" ], "softSkillsList" : [ "Intellectual curiosity", "Critical thinking", "Conflict resolution", "Urgency" ], "hardSkills" : [ { "name" : "Labeling methodology", "level" : "intermediate" }, { "name" : "Rubric development", "level" : "intermediate" }, { "name" : "Ground truth labeling", "level" : "intermediate" }, { "name" : "Insights mining", "level" : "intermediate" }, { "name" : "Performance standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual curiosity" }, { "name" : "Critical thinking" }, { "name" : "Conflict resolution" }, { "name" : "Urgency" } ], "majorSkills" : "Conversation Analysis, People Leadership, Data Labeling", "majorSkillsList" : [ "Conversation Analysis", "People Leadership", "Data Labeling" ], "coreResponsibilities" : "Manage team of analysts, Manage capacity, Prioritize work, Meet project timelines, Identify process improvements, Develop rubrics, Develop ground truth labeled data, Ensure consistent application of rubrics, Conduct secondary reviews, Address gaps, Develop high performers, Partner with AI team, Align labeling methodology, Communicate progress, Communicate risks, Communicate observations, Serve as SME, Develop expert level knowledge, Serve as escalation point, Collaborate with internal teams, Address customer issues, Drive innovation, Cast a vision, Evolve rubric design, Evolve labeling methodology, Evolve insights mining, Evolve insights delivery, Foster culture of continuous improvement, Improve performance, Improve consistency, Improve engagement", "teamCollaboration" : "Cross-functional partners; Data Science team; Prompt Engineering team; Product team; Client Success team; Internal teams", "projectManagementSkills" : [ "Capacity management", "Work prioritization", "Timeline management" ], "domainKnowledge" : "Model development lifecycle; Conversational data", "domainList" : [ "model-development-lifecycle", "conversational-data" ], "domainSpecificKnowledge" : [ "Model development lifecycle", "Conversational data" ], "communicationSkills" : "Client communication; Cross-functional communication; Written communication; Oral communication", "innovationCreativity" : "Drive innovation; Evolve rubric design; Evolve labeling methodology; Evolve insights mining; Evolve insights delivery", "problemSolvingSkills" : "Identify root causes; Risk recognition", "specialRequirements" : "Reside in USA, Authorized to work in USA, Occasional on-site work, Travel to Indianapolis, Travel for client meetings", "outcomesObjectives" : "Deliver labeling initiatives on schedule; Deliver insights mining initiatives on schedule; Meet defined agreement thresholds; Support insights initiatives", "qualificationsBasic" : "3+ years people management experience, Analytical thinking, Excellent written and verbal communication, Proven track record client-facing, Experience working cross-functionally", "qualificationsPreferred" : "Background in conversation analysis, Experience in healthcare, Experience in life sciences, Experience in call centers, Experience in regulated SaaS environments", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Position Summary The Manager, Conversation Analysis leads a team of analysts and owns the labeling methodology, rubrics, and ground truth labeled data that power Authenticx AI models and generate insights for our clients. This leader is accountable for the engagement, accuracy, and throughput of the team, and for delivering labeling and insights mining initiatives on schedule. The role combines direct people management with deep methodological ownership and a client-facing presence. The right candidate develops analysts while holding them to clear performance standards, serves as the subject-matter expert in front of clients and cross-functional partners in Data Science, Prompt Engineering, Product, and Client Success, and actively advances how the function operates through innovation and focus on continuous improvement. This role blends people leadership, analytical rigor, and operational excellence in a fast-paced SaaS environment. What You’ll Do Directly manage a team of analysts, including hiring, onboarding, performance reviews, career development, and day-to-day coaching Manage capacity, work prioritization, and timelines to meet project timelines Identifyprocess improvements to increase efficiency, scalability, and reliability of labeling operations Develop rubrics and ground truth labeled data supporting AI model development, insights mining, and continuous improvement Ensure consistent application of rubrics through regular secondary reviews proactively addressing gaps while recognizing and developing high performers Partner with the AI and Data Science team to align labeling methodologywith model development requirements while communicating progress, risks, and meaningful observations in the data. Serve as the Subject Matter Expert (SME) to customers and cross-functional partners in Data Science, Prompt Engineering, Product, and Client success related to our model development operating procedures Develop and maintainexpert level knowledge in how labeled conversational data connects to model development and outcomes Serves as an escalation point collaborating with internal teams (Support, Product, Engineering, CS) to address any customer issues, ensuring swift and efficient resolution. Drive innovation and cast a vision for how we evolve our rubric design, labeling methodology, and insights mining and delivery Foster a culture of continuous improvement with strong performance, consistency, engagement Key Skills Intellectual curiosity and a drive to possessa deep understanding of the Authenticx model development lifecycle, including our approach to rubric design and ground truth labeling for new model development and continues improvement Demonstrates critical thinking, new ideas, risk recognitionand ability to drive change People leadership with proven record of conflict resolution, coaching, developing, and growing analytical teams Thrives in ambiguity, moves with urgency, and holds themselves to the same standard of accountability they hold others Ability to advise clients on Authenticxmodel development framework and how this work connects to successful outcomes Excellent communication with ability to translate complex concepts into clear written standard and guidance Strong cross-functional collaboration with authenticxcross-functional teams and customers to ensure successful Authenticx solution adoption Written and oral communication skills that reflect the professionalism, expertise, precision, and specificity necessary for communicating  mattersthat may have compliance and regulatory implications Success Criteria Innovates:Evolves rubric design, labeling methodology, and the way insights are mined and delivered. Leads and Motivates:Drives analyst engagement, development, and retention. Demonstrates Expertise:Acts as a trusted advisor internally and externally. Delivers High-Quality Ground Truth Data:Produces objective ground truth data that meets defined agreement thresholds, validated through scheduled secondary reviews, and supports insights initiatives. Executes:Builds delivery plans and meets agreed deadlines across initiatives and projects. Qualifications Required 3+ years of people management experience leading analytical, labeling, or quality-focused teams Strong analytical thinking with the ability to identifyroot causes of quality or performance issues Excellent written and verbal communication, including translating complex methodologyinto clear guidance Proven track recordin client-facing settings as a subject-matter expert Experience working cross-functionally with technical teams such as data science or engineering Demonstrated record of innovation and elevating existing teams Preferred Background in conversation analysis, transcription review, annotation, or structured qualitative analysis Experience in healthcare, life sciences, call enters, or regulated SaaS environments is a plus Additional Information This is a remote/virtual position For local team members, occasional on-site working (Indianapolis north side) may be expected for in-person activities For remote team members, traveling to Indianapolis may be requiredapproximately 1-2x per year, based on business needs Travel for client meetings may be expected, based on business needs Candidates must residein the USA and be authorized to legally work in the USA without requiring employment visa sponsorship now or in the future", "summaryDescription" : "Manager of Conversation Analysis at Authenticx. Skills: Conversation Analysis, People Leadership, Data Labeling. Manage team of analysts. Manage capacity", "postedDate" : "2026-06-14T20:04:04.432", "createdAt" : "2026-06-14T20:04:04.432", "lastUpdated" : "2026-06-16T02:29:50.027", "ingestTimestamp" : "2026-06-14T20:04:04.432", "mongoId" : "6a2c7e9e74d8ee00a095300a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Labeling methodology", "Rubric development", "Ground truth labeling", "Insights mining", "Performance standards", "Intellectual curiosity", "Critical thinking", "Conflict resolution", "Urgency", "Conversation Analysis", "People Leadership", "Data Labeling", "People management", "Methodological ownership", "Client-facing presence", "Analytical rigor", "Operational excellence", "Capacity management", "Work prioritization", "Timeline management", "Model development lifecycle", "Conversational data" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 483.51663, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb03f74d8ee00a09d965f", "title" : "Claims Data Analyst", "company" : "ClaimSorted", "industry" : "Engineering", "salary" : { "min" : 40000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T01:46:29.655", "fingerprint" : "02298da03c6bcf1b020117cf87db52b573551d5d80c039de3ff1e63abfffc12f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/claimsorted/6008dea0-8c78-42b0-8534-9325878e455b/application", "externalId" : "6008dea0-8c78-42b0-8534-9325878e455b", "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", "experienceMinYears" : 2, "technicalSkills" : "SQL, Excel", "professionalSkills" : [ "Data analysis", "Reporting delivery" ], "hardSkillsList" : [ "Insurance reporting", "Claims analytics" ], "hardSkills" : [ { "name" : "Insurance reporting", "level" : "intermediate" }, { "name" : "Claims analytics", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting", "majorSkillsList" : [ "Data analysis", "Reporting" ], "coreResponsibilities" : "Own reporting delivery end-to-end, Investigate data discrepancies, Resolve data discrepancies, Build reporting processes, Build reporting controls, Improve accuracy, Improve scalability, Partner with engineering, Partner with operations, Improve data quality, Improve automation", "teamCollaboration" : "Partner with engineering; Partner with operations", "domainKnowledge" : "Insurance reporting; Claims; Underwriting; Reinsurance; Bordereaux", "domainList" : [ "insurance-reporting", "claims", "underwriting", "reinsurance", "bordereaux" ], "domainSpecificKnowledge" : [ "Insurance reporting", "Claims", "Underwriting", "Reinsurance", "Bordereaux" ], "toolProficiency" : [ "SQL", "Excel" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Reports delivered on 1st working day; Zero reporting errors; Zero data discrepancies; Great NPS from partners; Great feedback from partners", "qualificationsBasic" : "2+ years of experience in insurance reporting, 2+ years of experience in insurance analytics, 2+ years of experience in claims analytics, Advanced SQL skills, Advanced Excel skills", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "A COMPANY THAT MATTERS Insurance exists to support people at their most vulnerable – after loss, illness, or crisis. Yet too often, the systems behind it fail when they're needed most. ClaimSorted is fixing that. ClaimSorted is rebuilding how insurance claims get handled. We run the entire claims operation for insurers – a model called Third-Party Administration (TPA), in a ~$200B industry that has barely changed in decades. We pair a world-class in-house claims team with an AI-native platform to deliver faster resolutions, better outcomes, and a fundamentally more humane experience for policyholders. Backed by Y Combinator, Atomico, and Eurazeo, we've raised $15M+ and already manage claims for over $200M in insurance premium across 50+ partners, including more than five publicly traded companies. The traction is real. The mission is urgent. And we're just getting started. THE ROLE Every month, some of the largest insurers in the world rely on ClaimSorted to provide accurate reporting data to support their operations. As a Claims Data Analyst, you'll own that reporting. Your mission is simple: ensure reporting to our insurance partners is accurate and timely. You will play a critical role in keeping the insurance industry running smoothly Success means: - All reports are delivered on the 1st working day of each month - Zero reporting errors or data discrepancies - Great NPS and feedback from our insurance partners RESPONSIBILITIES - Own reporting delivery end-to-end for insurance partners - Investigate and resolve data discrepancies - Build reporting processes and controls that improve accuracy and scalability - Partner with engineering and operations to improve data quality and automation REQUIREMENTS - 2+ years of experience in insurance reporting, insurance analytics, claims analytics, or a similar role - Advanced SQL and Excel skills - Strong understanding of insurance reporting, including claims, underwriting, reinsurance, or bordereaux - Exceptional attention to detail and a bias for finding root causes COMPENSATION & BENEFITS - Competitive salary beyond the industry standard - Generous, transparent equity participation - Skilled Worker visa sponsorship in the UK - 28 days annual leave plus bank holidays - 30 days of remote work annually - Health insurance - Pension contributions in line with UK auto-enrolment requirements - Company offsites", "summaryDescription" : "Claims Data Analyst at ClaimSorted. Skills: Data analysis, Reporting. Own reporting delivery end-to-end. Investigate data discrepancies", "createdAt" : "2026-06-14T18:50:06.904", "lastUpdated" : "2026-06-16T01:46:29.655", "ingestTimestamp" : "2026-06-14T18:50:06.904", "mongoId" : "6a2cb03f74d8ee00a09d965f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Insurance reporting", "Claims analytics", "Data analysis", "Reporting", "Reporting delivery", "Claims", "Underwriting", "Reinsurance", "Bordereaux", "SQL", "Excel" ], "skillCount" : 11, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 482.75797, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafed74d8ee00a09d83cf", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:15:47.164", "fingerprint" : "a4e711ada7f64ef3ad7274a130224cc6b0c75f6bdae3559a6db9eb38ab7abea5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/350e50f6-ea4f-4898-92ce-497e253d5e61/application", "externalId" : "350e50f6-ea4f-4898-92ce-497e253d5e61", "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" : "Data Platform, ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition" ], "hardSkillsList" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Experimentation velocity", "level" : "intermediate" }, { "name" : "Personalisation", "level" : "intermediate" }, { "name" : "Revenue impact", "level" : "intermediate" }, { "name" : "Cost control", "level" : "intermediate" }, { "name" : "Product decisions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, ML, AI, Product Management", "majorSkillsList" : [ "Data Platform", "ML", "AI", "Product Management" ], "coreResponsibilities" : "Own data platform reliability, Own data platform usability, Own data platform governance, Own data platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Help data and ML signals move to dependable, Create foundations for teams to ask better questions, Create foundations for teams to find answers faster, Create foundations for teams to consume analytics, Shape how AI and automation support data engineering, Strengthen how data is moved, Strengthen how data is transformed, Strengthen how data is maintained, Strengthen how data is served, Turn data quality into managed capability, Define interfaces between teams, Connect technical investment to outcomes", "teamCollaboration" : "Cross-functional teams; Product engineering; Analytics teams; Data science teams; Business teams", "projectManagementSkills" : [ "Roadmap", "Priorities" ], "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" ], "innovationCreativity" : "AI-native experiences", "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, ML, AI, Product Management. Own data platform reliability. Own data platform usability", "createdAt" : "2026-06-13T21:49:02.566", "lastUpdated" : "2026-06-15T08:15:47.164", "ingestTimestamp" : "2026-06-13T21:49:02.566", "mongoId" : "6a2cafed74d8ee00a09d83cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions", "Leadership", "Data Platform", "ML", "AI", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition", "Roadmap", "Priorities", "Decision Tooling", "Machine Learning", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "skillCount" : 32, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 482.6505, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cfb4774d8ee00a0aa2bb3", "title" : "Sr Complex Billing Analyst", "company" : "Chariot Energy", "industry" : "Retail", "salary" : { "min" : 80000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-15T12:14:42.333", "fingerprint" : "f108cd72f630c34a7a8246e8ec57a600b2a49dd6ca0ddc94a858bea33b32cb0f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/chariotenergy/jobs/4284053009", "externalId" : "4284053009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Billing systems", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Revenue assurance", "Process optimization", "Automation strategies", "Contract management", "Cash flow improvement", "Dispute resolution", "Compliance protocols", "Business relationships" ], "hardSkillsList" : [ "Statistical analysis", "Negotiation skills", "Conflict resolution skills" ], "softSkillsList" : [ "Analytical skills", "Stakeholder engagement", "Effective communication", "Agility" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Negotiation skills", "level" : "intermediate" }, { "name" : "Conflict resolution skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Stakeholder engagement" }, { "name" : "Effective communication" }, { "name" : "Agility" } ], "majorSkills" : "Complex billing, Retail energy market, ERCOT regulations", "majorSkillsList" : [ "Complex billing", "Retail energy market", "ERCOT regulations" ], "coreResponsibilities" : "Develop billing strategies, Implement billing strategies, Manage billing strategies, Monitor revenue performance, Analyze revenue performance, Identify trends, Identify areas for improvement, Utilize data and analytics, Analyze trends in data, Analyze patterns in data, Drive decision-making, Adjust strategy, Provide insights, Provide recommendations, Oversee billing process, Ensure accuracy, Ensure timeliness, Oversee client contracts, Account for contract elements, Develop strategies to improve cash flow, Reduce DSO, Review product structure, Investigate product structure, Recommend action on product structure, Ensure compliance with policies, Ensure compliance with procedures, Ensure compliance with regulations, Manage revenue performance, Maintain revenue performance, Report revenue performance, Action dispute resolution process, Mitigate customer disputes, Negotiate customer disputes, Ensure customer disputes resolution, Document root cause, Manage compliance protocols, Adhere to compliance protocols, Establish controls, Bridge identified gaps, Identify account issues, Resolve account issues, Display attention to detail, Adhere to Retail Market Guide, Understand regulation changes, Formulate solutions to comply, Establish business relationships, Maintain business relationships, Deliver on KPIs", "teamCollaboration" : "Cross-functional teams; Internal customers; Key stakeholders", "domainKnowledge" : "Retail energy market; Deregulated environments; ERCOT regulations; PJM; NYISO; NEPOOL; Public Utility Commissions", "domainList" : [ "retail-energy-market", "deregulated-environments", "ercot-regulations", "pjm", "nyiso", "nepool", "public-utility-commissions" ], "domainSpecificKnowledge" : [ "Retail energy market", "Deregulated environments", "ERCOT regulations", "PJM", "NYISO", "NEPOOL", "Public Utility Commissions" ], "toolProficiency" : [ "MS Office Suite" ], "communicationSkills" : "Verbal communication; Written communication", "innovationCreativity" : "Process optimization; Automation", "problemSolvingSkills" : "Problem-solving; Analytical skills; Data analysis", "outcomesObjectives" : "Ensure billing accuracy; Ensure billing efficiency; Achieve revenue assurance; Enhance billing operations effectiveness; Achieve financial health; Improve customer satisfaction", "qualificationsBasic" : "Bachelor's degree or 2 years supervisor experience, 5 years operations experience, Experience in deregulated energy market, Familiarity with complex billing structure, Proficiency in financial software, Proficiency in MS Office Suite, Ability to work under pressure, Ability to meet deadlines, Eligible to work in USA", "qualificationsPreferred" : "Expert-level knowledge of ERCOT regulations, Advanced billing systems knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "COMPANY OVERVIEW Chariot Energy, is an affiliate company of Hanwha Energy USA and ultimately Hanwha Group, a FORTUNE Global 500 firm that is among the eight largest business enterprises in South Korea. Hanwha Energy USA designs, builds and manages solar power plant solutions. The company brings a decade of global leadership in solar PV to North America, combining best-of-world technology, processes, and partnerships to deliver utility-grade solar PV solutions customized for local energy markets. Hanwha Energy USA offers the full spectrum of PV solutions – from power plant development, design, construction, operations, and maintenance. With proven capabilities across the solar value chain, Hanwha Energy USA minimizes uncertainty and risk, and helps customers achieve a higher return on their investment in solar energy. Hanwha Energy USA has recently embarked to enter the energy retail market in deregulated markets throughout North America. Chariot Energy is a retail energy provider based in Houston, Texas. We offer electricity to homes and businesses, and it is our goal to provide products and services our customers love and an unmatched experience that is missing in today’s retail energy market. Hanwha Energy USA has set out to have Chariot Energy become one of the leading energy retail providers (by RCE count) within 5-years of Chariot Energy’s launch. POSITION OVERVIEW We are seeking a highly skilled and proactive Senior Complex Billing Analyst to join our innovative and fast-paced organization. As a key leader within the billing operations team, the Senior Complex Billing Analyst will play a pivotal role in ensuring the accuracy and efficiency of our complex billing processes related to Large Commercial and Industrial accounts, which are integral to the company’s revenue assurance and operational success. This position requires an individual with a deep understanding of the retail energy market, especially within deregulated environments, and an expert-level knowledge of ERCOT regulations and advanced billing systems. In this role, you will be responsible for managing all aspects of billing, from developing and executing strategies that drive billing accuracy and compliance, to identifying opportunities for process optimization and automation. You will work closely with cross-functional teams to resolve billing issues, ensure compliance with industry regulations, and lead initiatives that enhance the overall effectiveness of the billing operations. The ideal candidate will not only bring extensive experience in managing complex billing structures but will also have a forward-thinking mindset, capable of anticipating challenges and proactively designing solutions. With a strong focus on process improvements, you will be empowered to make strategic decisions that directly impact on our financial health and customer satisfaction. Your ability to problem solve, innovate, and drive efficiency will be crucial in ensuring the success of our billing operations and contributing to the organization’s broader financial and operational goals. This position is based in Houston, and the ideal candidate will be within commutable distance to the Houston office location. The position will be located outside the Chariot Energy Houston office. RESPONSIBILITIES Develop, implement and manage effective billing strategies, policies and procedures for residential, commercial and industrial accounts. Monitor and analyze revenue performance metrics, identifying trends and areas for improvement. Utilize data and analytics to analyze trends and patterns in data, driving decision-making and strategy adjustments, and providing insights and recommendations to senior management. Oversee the end-to-end billing process to ensure accuracy and timeliness. Oversee all aspects of client contracts assigned ensuring all elements are properly accounted for in CE systems during setup and invoicing/billing processes Develop and implement strategies to improve cash flow and reduce DSO (Days Sales Outstanding). Review, investigate, and recommend action on product structure and market insights Ensure compliance with company policies and procedures, as well as legal and regulatory requirements. Manage, maintain, and report on revenue performance to management. Action the dispute resolution process from end to end, by proactively mitigating customer disputes, negotiating and ensuring customer disputes to resolution and document root cause. Manage and adhere to compliance protocols as outlined by the Public Utility Commissions and other government entities. Establish controls to bridge identified gaps between other business stakeholders. Proactively identify and resolve existing and potential future account issues in a timely and accurate fashion by displaying an acute attention to detail. Adhere to Retail Market Guide protocols as set forth by ERCOT, PJM, NYISO and NEPOOL. Take the lead when changes and proposed regulations occur to understand potential gaps to current processes and formulate solutions to comply. Establish and maintain positive business relationships with internal customers and key stakeholders in the revenue process. Achieve excellence by delivering on key performance indicators (KPI’s). REQUIRED COMPETENCIES Analytical- Proven problem-solving capability with strong analytical skills including statistical analysis, Stakeholder Engagement– Understands the importance of seeking out relationships and working with others toward a shared goal. Effective Communication- Strong verbal and written communication skills. Agility- Demonstrate willingness to modify position as needed to meet the needs of the business. REQUIRED QUALIFICATIONS Bachelor’s degree in business or related areas from an accredited four-year university OR minimum two years previous supervisor experience in Complex Billing Operations can substitute for a degree. Minimum of 5 years’ operations experience in back-office operations (i.e., customer set up, Complex billing, contract management, customer relations). Experience in the deregulated energy market, primarily ERCOT, PJM, NYISO and NEPOOL. Familiarity with complex billing structure. Strong analytical and problem-solving abilities to identify trends, analyze data, and make informed decisions. Proven negotiation and conflict resolution skills. Proven experience managing revenue generation for customers in the commercial/industrial/retail energy markets. Strong analytical and problem-solving abilities. Strong communication and interpersonal skills. Proficiency in financial software and MS Office Suite. Ability to work effectively under pressure and meet deadlines. Eligible to work in the USA for any employer without sponsorship. COMPENSATION: $80,000 - $110,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Chariot Energy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. www.mychariotenergy.com", "summaryDescription" : "Sr Complex Billing Analyst at Chariot Energy. Skills: Complex billing, Retail energy market, ERCOT regulations. Develop billing strategies. Implement billing strategies", "postedDate" : "2026-06-14T05:38:13.664", "createdAt" : "2026-06-14T05:38:13.664", "lastUpdated" : "2026-06-15T12:14:42.333", "ingestTimestamp" : "2026-06-14T05:38:13.664", "mongoId" : "6a2cfb4774d8ee00a0aa2bb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Negotiation skills", "Conflict resolution skills", "Analytical skills", "Stakeholder engagement", "Effective communication", "Agility", "Complex billing", "Retail energy market", "ERCOT regulations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Revenue assurance", "Process optimization", "Automation strategies", "Contract management", "Cash flow improvement", "Dispute resolution", "Compliance protocols", "Business relationships", "Deregulated environments", "PJM", "NYISO", "NEPOOL", "Public Utility Commissions", "MS Office Suite" ], "skillCount" : 31, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 482.58704, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0de3af58b93c861eb8716d", "title" : "Analysis Manager", "company" : "Zeno Power", "industry" : "Climate Tech", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Seattle, United States, adjusted for seniority and company size." }, "location" : "Seattle, WA", "locations" : [ "Seattle", "WA" ], "timestamp" : "2026-06-16T02:02:30.248", "fingerprint" : "557ed3b3fe47119992e0947f11a8424f7ec9cdbf5a7f05c78bc35ba4bbb976ad", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://zeno-power.breezy.hr/p/4efe925edf84-analysis-manager", "externalId" : "4efe925edf84", "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", "experienceLevel" : "Manager", "qualificationsBasic" : "5+ years experience", "remoteFriendly" : false, "rawDescription" : "Company Overview Zeno Power is the leading developer of nuclear batteries – compact power systems that provide reliable, clean energy in frontier environments. By harnessing the heat from radioisotopes, Zeno’s batteries power critical missions on Earth, in space, and at sea. To bring this technolog", "summaryDescription" : "Analysis Manager at Zeno Power", "createdAt" : "2026-06-14T21:47:41.202", "lastUpdated" : "2026-06-16T02:02:30.248", "ingestTimestamp" : "2026-06-14T21:47:41.202", "mongoId" : "6a0de3af58b93c861eb8716d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 481.5119, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a30805ff292fd229c064e47", "title" : "Applied Data Scientist", "company" : "dunnhumby", "industry" : "Consulting", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Applied Data Scientist in Gurugram, India, adjusted for mid-seniority and the technology industry." }, "location" : "Gurugram", "locations" : [ "Gurugram" ], "timestamp" : "2026-06-16T11:52:57.329", "fingerprint" : "74ac98f3a2e6965c50d1924106e84cd259195f5bb50fc2256b8c6387da17df38", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dunnhumby/jobs/7773279003", "externalId" : "7773279003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurugram, India", "minimumEducation" : "Degree", "technicalSkills" : "Python, SQL", "hardSkillsList" : [ "Statistical Modelling", "Data Science" ], "hardSkills" : [ { "name" : "Statistical Modelling", "level" : "intermediate" }, { "name" : "Data Science", "level" : "intermediate" } ], "coreResponsibilities" : "Investigate complex applications, Develop complex applications, Implement complex applications, Deploy complex applications, Distil complex problems into insights, Deliver impactful solutions", "teamCollaboration" : "Working alongside colleagues", "domainKnowledge" : "Customer Data Science", "domainList" : [ "customer-data-science" ], "domainSpecificKnowledge" : [ "Customer Data Science" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Human creativity", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Make a tangible impact on customer experience", "qualificationsBasic" : "Programming skills (Python and SQL), Analytical Techniques and Technology, Logical thinking and problem solving, Statistical Modelling, Experience applying data science", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. We’re looking for an Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)", "summaryDescription" : "Applied Data Scientist at dunnhumby. Investigate complex applications. Develop complex applications", "postedDate" : "2026-06-16T01:17:02.794", "createdAt" : "2026-06-16T01:17:02.794", "lastUpdated" : "2026-06-16T11:52:57.329", "ingestTimestamp" : "2026-06-16T01:17:02.794", "mongoId" : "6a30805ff292fd229c064e47", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical Modelling", "Data Science", "Customer Data Science" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 480.84164, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c91e974d8ee00a098452b", "title" : "Senior Counsel (Complex Trial)", "company" : "Tyson & Mendes LLP", "industry" : "Legal", "salary" : { "min" : 160000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "certifications" : [ "Active license to practice law in California" ], "timestamp" : "2026-06-15T11:41:07.066", "fingerprint" : "4d9437a3ae3342980067a71fb3a5a21b4a2d2667460e6bbf9d25b8028cdd045c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tysonmendesllp/jobs/5253960008", "externalId" : "5253960008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Risk assessment", "Case strategy", "Client advisement", "Legal advice", "Case assessments", "Litigation management", "Settlement negotiations", "Team leadership", "Mentorship" ], "hardSkillsList" : [ "Insurance defense litigation", "Complex trial work", "High-stakes cases", "Discovery", "Motion practice", "Trial preparation", "Pleadings", "Depositions", "Pre-trial motions" ], "softSkillsList" : [ "Gravitas", "Confidence", "Clarity", "Tactician", "Ethics", "Advocacy" ], "hardSkills" : [ { "name" : "Insurance defense litigation", "level" : "intermediate" }, { "name" : "Complex trial work", "level" : "intermediate" }, { "name" : "High-stakes cases", "level" : "intermediate" }, { "name" : "Discovery", "level" : "intermediate" }, { "name" : "Motion practice", "level" : "intermediate" }, { "name" : "Trial preparation", "level" : "intermediate" }, { "name" : "Pleadings", "level" : "intermediate" }, { "name" : "Depositions", "level" : "intermediate" }, { "name" : "Pre-trial motions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Gravitas" }, { "name" : "Confidence" }, { "name" : "Clarity" }, { "name" : "Tactician" }, { "name" : "Ethics" }, { "name" : "Advocacy" } ], "majorSkills" : "Complex trial litigation, Insurance defense, Trial advocacy, Case strategy", "majorSkillsList" : [ "Complex trial litigation", "Insurance defense", "Trial advocacy", "Case strategy" ], "coreResponsibilities" : "Represent clients in high-exposure cases, Represent clients in complex insurance defense cases, Develop case strategies, Execute case strategies, Conduct risk assessment, Manage discovery, Manage motion practice, Manage trial preparation, Provide clear legal advice, Provide case assessments, Provide updates on case developments, Oversee all stages of litigation, Oversee pleadings, Oversee discovery, Oversee depositions, Oversee pre-trial motions, Oversee settlement negotiations, Serve as lead counsel in jury trials, Serve as lead counsel in bench trials, Serve as lead counsel in mediations, Present cases effectively, Present cases persuasively, Supervise junior attorneys, Mentor junior attorneys, Supervise paralegals, Mentor paralegals, Supervise support staff, Mentor support staff, Ensure high-quality work, Ensure compliance with best practices, Collaborate with expert witnesses, Strengthen case arguments", "teamCollaboration" : "Complex Trial Teams; Junior attorneys; Paralegals; Support staff; Expert witnesses", "projectManagementSkills" : [ "Case management" ], "domainKnowledge" : "Insurance defense; Catastrophic injury; Wrongful death; Property damage; Professional liability; Civil litigation; Civil defense", "domainList" : [ "insurance-defense", "catastrophic-injury", "wrongful-death", "property-damage", "professional-liability", "civil-litigation", "civil-defense" ], "domainSpecificKnowledge" : [ "Insurance defense", "Catastrophic injury", "Wrongful death", "Property damage", "Professional liability", "Civil litigation", "Civil defense" ], "toolProficiency" : [ "E-discovery tools", "Case management software" ], "communicationSkills" : "Client communication; Oral advocacy; Legal writing; Negotiation", "continuousLearning" : "Trial Academy; In-house training; Leadership development; Firm Provided CLE Programs; Paid Bar License Renewal Fees", "problemSolvingSkills" : "Strategic acumen; Tactician", "outcomesObjectives" : "Stop Nuclear Verdicts®; Deliver results-driven approach", "qualificationsBasic" : "Juris Doctor (JD), Active license to practice law in California, Eligibility to practice in federal courts, 8+ years of experience in insurance defense litigation, Focus on complex trial work, Demonstrated success as lead trial counsel in multiple high-stakes cases, Knowledge of civil procedure, Knowledge of tort law, Knowledge of insurance law, Knowledge of trial strategies, Manage and prioritize a large, demanding caseload, Exceptional oral advocacy skills, Exceptional legal writing skills, Exceptional negotiation skills, Client relationship management skills, Ability to communicate complex legal strategies effectively", "qualificationsPreferred" : "Background in catastrophic injury, Background in construction defect, Background in professional liability cases, Experience with e-discovery tools, Experience with case management software, Membership in local trial lawyer associations, Membership in national trial lawyer associations", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Tyson & Mendes – Senior Counsel, Complex Trial Teams Where Insurance Defense Meets Innovation Please note: An active bar license in the State of California is required. At Tyson & Mendes, we don’t just litigate—we lead. As a national force in insurance defense and trial advocacy, we’re known for our bold mission to stop Nuclear Verdicts® and our results-driven approach to high-exposure litigation. We are expanding our Complex Trial Teams and seeking accomplished Senior Counsel ready to make an impact in the courtroom and beyond. If you are an experienced trial lawyer who thrives on complex, high-stakes cases, values strategy over spectacle, and wants to be part of a team that is reshaping the future of civil defense—this is your opportunity. Why Tyson & Mendes? Lead with Impact – As Senior Counsel on our Complex Trial Team, you’ll take the reins on challenging, high-value matters with the support and trust of a firm built for trial success. Elite Training + Resources – From our Trial Academy to dedicated jury research and litigation support, we equip you with everything you need to succeed at the highest level. Stability + Momentum – Join a financially strong, nationally scaled firm with an agile, no-silos culture that prioritizes long-term success over short-term wins. Authentic Inclusion – At Tyson & Mendes, diverse perspectives and lived experiences are essential to our approach, our outcomes, and our culture. Results Matter, Not Where You Work – Office-based, hybrid, or remote—we focus on performance and outcomes, not location. Who You Are You are a trial-tested litigator with a defense-first mindset and the strategic acumen to lead complex cases from start to finish. You bring gravitas in the courtroom, confidence in depositions, and clarity in client communication. You think like a tactician, mentor with purpose, and uphold the highest standards of ethics and advocacy. With a deep understanding of high-exposure civil litigation—especially in areas like catastrophic injury, wrongful death, or construction defect—you are ready to take the next step in your leadership and litigation career. Make Your Move. Be part of something bigger—join Tyson & Mendes and help shape the future of insurance defense. Apply today. We’re ready for your best. Responsibilities Lead Complex Trials: Represent clients in high-exposure and complex insurance defense cases, including cases involving catastrophic injury, wrongful death, property damage, and professional liability. Case Strategy and Planning: Develop and execute case strategies, including risk assessment, discovery, motion practice, and trial preparation. Client Advisement: Work closely with clients, insurance carriers, and adjusters to provide clear legal advice, case assessments, and updates on case developments. Litigation Management: Oversee all stages of litigation, including pleadings, discovery, depositions, pre-trial motions, and settlement negotiations. Courtroom Representation: Serve as lead counsel in jury trials, bench trials, and mediations, presenting cases effectively and persuasively. Team Leadership and Mentorship: Supervise and mentor junior attorneys, paralegals, and support staff, ensuring high-quality work and compliance with best practices. Collaboration with Experts: Collaborate with expert witnesses, including medical, forensic, engineering, and economic experts, to strengthen case arguments. Requirements Juris Doctor (JD) from an accredited law school. Active license to practice law in California and eligibility to practice in federal courts. 8+ years of experience in insurance defense litigation with a strong focus on complex trial work. Demonstrated success as lead trial counsel in multiple high-stakes cases. Strong knowledge of civil procedure, tort law, insurance law, and trial strategies. Proven ability to manage and prioritize a large, demanding caseload with limited oversight. Exceptional oral advocacy, legal writing, and negotiation skills. Strong client relationship management skills with an ability to communicate complex legal strategies effectively. Background in catastrophic injury, construction defect, or professional liability cases preferred. Experience with e-discovery tools and case management software. Membership in local or national trial lawyer associations is a plus. Compensation Package The base salary for this position ranges from $160,000-$190,000 annually, depending on experience and qualifications Attorneys are eligible for an annual billable hours bonus ranging from $10,000 and then aggregating with $7,500 for every additional tier Comprehensive benefits coverage offered, including plans available at zero employee cost (average annual employer contribution for health/vision/dental/life coverage is $700-$1,700) Employees benefit from a 401(k) program that includes a 100% match on the first 3% contributed and a 50% match on the following 4-5% Student loan repayment assistance or 529 college savings plan (full-time attorneys after one year with the firm) $100-$200/month Paid parental leave at base pay Employees receive a monthly technology reimbursement of $60 Benefits Employee Assistance Program through HealthAdvocate Comprehensive in-house training and leadership development opportunities Firm Provided CLE Programs and Paid Bar License Renewal Fees Flexible vacation policy for attorneys Defined pathway to partnership Internal diversity and inclusion programs, such as the Women’s Initiative and Young Professionals Initiative Firm-wide charitable giving program Numerous social and off-site events each year to enrich your relationships with your colleagues Flexible Work Model: Remote, hybrid, or onsite options available About Tyson & Mendes Click here to learn more about the Tyson & Mendes Office! (944) The Tyson & Mendes Office - YouTube We’re one of the fastest-growing civil defense firms in the country—known for breaking the mold of the traditional law firm. Our dynamic, diverse team of trial attorneys delivers exceptional results, from landmark cases like Howell v. Hamilton Meats to numerous defense verdicts across the nation. But we don’t stop at great legal work—we invest in our people. With specialized training in our proven defense methods, clear paths to leadership, and robust professional development, we empower attorneys to grow their careers, build their personal brands, and become leaders in the field. Follow along with the firm on Twitter and LinkedIn or visit www.tysonmendes.com. Equal Opportunity Employer Notice OK, now for the legal copy (we are a law firm, after all). It is Tyson & Mendes’ policy to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit-based factors. By the way, if you read all of this, congratulations – we can already tell your attention to detail is exceptional. NOTICE TO APPLICANTS/EMPLOYEES OF TYSON & MENDES: Please take notice that the Firm collects certain information about you. For more information on the Firm’s policies, please refer to the document provided here. No recruiters/agencies #li-remote Pay Range $160,000—$190,000 USD", "summaryDescription" : "Senior Counsel (Complex Trial) at Tyson & Mendes LLP. Skills: Complex trial litigation, Insurance defense, Trial advocacy, Case strategy. Represent clients in high-exposure cases. Represent clients in complex insurance defense cases", "postedDate" : "2026-06-14T04:12:25.934", "createdAt" : "2026-06-14T04:12:25.934", "lastUpdated" : "2026-06-15T11:41:07.066", "ingestTimestamp" : "2026-06-14T04:12:25.934", "mongoId" : "6a2c91e974d8ee00a098452b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Insurance defense litigation", "Complex trial work", "High-stakes cases", "Discovery", "Motion practice", "Trial preparation", "Pleadings", "Depositions", "Pre-trial motions", "Gravitas", "Confidence", "Clarity", "Tactician", "Ethics", "Advocacy", "Complex trial litigation", "Insurance defense", "Trial advocacy", "Case strategy", "Risk assessment", "Client advisement", "Legal advice", "Case assessments", "Litigation management", "Settlement negotiations", "Team leadership", "Mentorship", "Case management", "Catastrophic injury", "Wrongful death", "Property damage", "Professional liability", "Civil litigation", "Civil defense", "Active license to practice law in California", "E-discovery tools", "Case management software" ], "skillCount" : 37, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 480.3006, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd72274d8ee00a0a4063c", "title" : "Data Scientist", "company" : "Sensor Tower", "industry" : "Innovation & Strategy", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in São Paulo, Brazil, adjusted for the Technology industry and company size." }, "location" : "São Paulo, Brazil", "locations" : [ "São Paulo, Brazil" ], "timestamp" : "2026-06-16T00:15:48.990", "fingerprint" : "756dec2ad83575235a5a08a78d390d772d032842ee7448b40ede26fb601d0cab", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sensor-tower/388bf2fe-f2f8-4f2a-8a1a-ef1c33cd3804/application", "externalId" : "388bf2fe-f2f8-4f2a-8a1a-ef1c33cd3804", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Excel, Tableau, Power BI", "professionalSkills" : [ "Data-driven Storytelling", "Strategic Thinking", "Client Management", "Sales Support" ], "hardSkillsList" : [ "Data analysis", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling, Market intelligence", "majorSkillsList" : [ "Data analysis", "Data modeling", "Market intelligence" ], "coreResponsibilities" : "Explore and define innovative solutions, Develop new use-cases for data assets, Transform complex data into compelling narratives, Communicate insights and persuade stakeholders, Work closely with sales, engineering, and customers, Develop and implement comprehensive solutions, Ensure strategic alignment and integration, Build and maintain relationships with key clients, Ensure client success through strategic insights, Partner with the Sales Team to support business, Articulate the strategic impact of our solutions, Aid in the proposal process", "teamCollaboration" : "Cross-functional collaboration; Client teams", "domainKnowledge" : "Market intelligence; Digital intelligence", "domainList" : [ "market-intelligence", "digital-intelligence" ], "domainSpecificKnowledge" : [ "Market intelligence", "Digital intelligence" ], "toolProficiency" : [ "SQL", "Python", "Excel", "Tableau", "Power BI" ], "communicationSkills" : "Storytelling; Client presentations", "innovationCreativity" : "Entrepreneurial Innovation; Develop innovative solutions", "problemSolvingSkills" : "Actionable insights", "outcomesObjectives" : "Create strategic opportunities; Drive significant business value; Focus on client success and satisfaction", "qualificationsBasic" : "Data modelling experience, Proven ability to manage and analyze large datasets independently, Expertise in data analysis and visualization tools, Experience in cross-functional collaboration with sales, engineering, and client teams, Proven experience in building and maintaining strategic relationships with high-profile clients", "qualificationsPreferred" : "Hands-on experience with data-driven project management and analysis, Relevant professional experience in Data Science, Business Analysis, Strategy Consulting, or Technical Account Management, Experience in technology or SaaS environments", "remoteFriendly" : true, "rawDescription" : "Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods, finance, and investment. Sensor Tower is seeking a Data Scientist to join our Innovation and Strategy team as it continues to grow and deliver cutting-edge market intelligence solutions to our most valued clients. Reporting directly to the Director of Innovation and Strategy, this role offers a unique opportunity for someone with hands-on experience in data analytics and consulting. You will collaborate directly with customers and engineers to develop and implement innovative market data solutions, contributing to Sensor Tower's leadership in the industry. Please note: This is an individual contributor role with no management responsibilities. Employment: Full-time under a B2B contract. What the Manager of Innovation Strategy will do: - Entrepreneurial Innovation & Data Utilization: Leverage your hands-on experience with data to explore and define innovative solutions, developing new use-cases for data assets that scale to create strategic opportunities - Data-Driven Storytelling: Employ strong analytical and storytelling skills to transform complex data into compelling narratives that communicate insights and persuade stakeholders both internally and externally. - Cross-Functional Collaboration: Work closely with sales, engineering, and customers to develop and implement comprehensive solutions, ensuring strategic alignment and integration - Client Management: Build and maintain strong relationships with key clients, including Fortune 500 companies, ensuring their success through strategic insights and tailored solutions. - Sales & Strategic Support: Partner with the Sales Team to support business development efforts, articulating the strategic impact of our solutions and aiding in the proposal process. Experience and skills that the candidate can bring: - Data Proficiency: Proven ability to manage and analyze large datasets independently, developing innovative solutions and actionable insights. Expertise in data analysis and visualization tools (SQL, Python, Excel, Tableau, Power BI). Data modelling experience. - Strategic Thinking: Demonstrated track record of identifying, scaling, and creating new data use-cases that drive significant business value. An entrepreneurial approach to developing strategic opportunities. - Communication and Collaboration: Ability to transform complex data into compelling narratives for diverse stakeholders. - Experience in cross-functional collaboration with sales, engineering, and client teams to implement integrated solutions. - Client Relations: Proven experience in building and maintaining strategic relationships with high-profile clients, including Fortune 500 companies, focusing on client success and satisfaction. Nice to have: - Hands-on experience with data-driven project management and analysis. - Relevant professional experience in Data Science, Business Analysis, Strategy Consulting, or Technical Account Management, preferably in technology or SaaS environments. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.", "summaryDescription" : "Data Scientist at Sensor Tower. Skills: Data analysis, Data modeling, Market intelligence. Explore and define innovative solutions. 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