{ "count" : 83824, "data" : [ { "id" : "6a306b0cf292fd229cfcf203", "title" : "Pizza Maker", "company" : "Eataly North America", "industry" : "Food And Beverages", "salary" : { "min" : 19.0, "max" : 21.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Chicago, IL, United States", "locations" : [ "Chicago", "IL", "United States" ], "timestamp" : "2026-06-16T08:27:06.699", "fingerprint" : "5c3211a69c6c0166ebaf20f24f5453ac5574649cc8d0d273bb36a00819f103fc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Eataly/744000132279090-pizza-maker", "externalId" : "744000132279090", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "coreResponsibilities" : "Prepare pizzas according to specific recipes, Comply with portion sizes, Comply with quality standards, Comply with department rules, Comply with policies and procedures, Maintain clean food production area, Maintain sanitary food production area, Master all shifts in pizza production, Assist Sales Associates, Engage with guests interested in pizza production, Perform other duties as required", "teamCollaboration" : "Assists Sales Associates; Engages with guests", "domainKnowledge" : "Roman-style pizza alla pala", "domainList" : [ "roman-style-pizza-alla-pala" ], "domainSpecificKnowledge" : [ "Roman-style pizza alla pala" ], "continuousLearning" : "Classes on products; Classes on Italian cuisine", "specialRequirements" : "Ability to exert well-paced mobility for at least 8 hours, Standing, Walking, Bending, Squatting", "qualificationsBasic" : "1+ year back of house production experience, Ability to lift up to 50 pounds, Ability to work with wood burning oven, Ability to work with electric pizza convection oven, Ability to work with commercial spiral mixer", "qualificationsPreferred" : "Flexible, open schedule often including evenings and weekends", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Eataly is the world’s largest artisanal Italian food and beverage marketplace! Eataly is not a chain; each Eataly is different, with its own character and own theme – but all with the same aim... for our guests to: * EAT authentic Italian food at our restaurants, cafés and to-go counters * SHOP a selection of high-quality Italian, local and homemade products * LEARN through our classes and our team’s product knowledge A Pizza Maker is responsible for producing roman-style pizza alla pala in accordance with our authentic Italian recipes. Reports to the Bakery Manager. * Prepares pizzas according to specific recipes * Complies with all portion sizes, quality standards, department rules, policies and procedures * Maintains a clean and sanitary food production area according to Department of Health standards * Works towards mastering all shifts in pizza production * Assists Sales Associates if needed and engages with guests interested in learning about pizza production * Performs other duties as required or assigned ## Qualifications * 1+ year of experience in a back of house production position * Good work ethic, communication and time management skills Compensation for this role is $19.00 - $21.00 per hour. Job Requirements * Availability to work onsite with a flexible, open schedule often including evenings and weekends preferred * Ability to lift up to 50 pounds * Ability to exert well-paced mobility for at least 8 hours, including standing, walking, bending and squatting * Ability to work with a wood burning oven, electric pizza convection oven and commercial spiral mixer ## Additional Information Benefits and Perks * Medical, Dental, Vision Insurance * Paid Time Off * Paid Parental Leave * 401K with match or RRSP * Bonus program * Free family meal daily * Discounts at Eataly * Classes on products and Italian cuisine * Referral bonus program * and more! Eataly is an equal employment opportunity employer. It is the Company’s policy to not unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, religion, national origin, age, disability or any other characteristic made unlawful to consider by applicable federal, state, or local laws. Eataly also prohibits harassment of applicants and employees based on any of these protected categories. It is also Eataly’s policy to comply with all applicable federal, state and local laws regarding consideration of unemployment status, salary history, credit/bankruptcy history and criminal background/conviction history in making hiring decisions. If contacted for an employment opportunity, please advise Human Resources if you require accommodation.", "summaryDescription" : "Pizza Maker at Eataly North America. Prepare pizzas according to specific recipes. 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Eataly is not a chain; each Eataly is different, with its own character and own theme – but all with the same aim... for our guests to: * EAT authentic Italian food at our restaurants, cafés and to-go counters * SHOP a selection of high-quality Italian, local and homemade products * LEARN through our classes and our team’s product knowledge A Pizza Maker is responsible for producing roman-style pizza alla pala in accordance with our authentic Italian recipes. Reports to the Bakery Manager. * Prepares pizzas according to specific recipes * Complies with all portion sizes, quality standards, department rules, policies and procedures * Maintains a clean and sanitary food production area according to Department of Health standards * Works towards mastering all shifts in pizza production * Assists Sales Associates if needed and engages with guests interested in learning about pizza production * Performs other duties as required or assigned ## Qualifications * 1+ year of experience in a back of house production position * Good work ethic, communication and time management skills Compensation for this role is $19.00 - $21.00 per hour. Job Requirements * Availability to work onsite with a flexible, open schedule often including evenings and weekends preferred * Ability to lift up to 50 pounds * Ability to exert well-paced mobility for at least 8 hours, including standing, walking, bending and squatting * Ability to work with a wood burning oven, electric pizza convection oven and commercial spiral mixer ## Additional Information Benefits and Perks * Medical, Dental, Vision Insurance * Paid Time Off * Paid Parental Leave * 401K with match or RRSP * Bonus program * Free family meal daily * Discounts at Eataly * Classes on products and Italian cuisine * Referral bonus program * and more! Eataly is an equal employment opportunity employer. It is the Company’s policy to not unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, religion, national origin, age, disability or any other characteristic made unlawful to consider by applicable federal, state, or local laws. Eataly also prohibits harassment of applicants and employees based on any of these protected categories. It is also Eataly’s policy to comply with all applicable federal, state and local laws regarding consideration of unemployment status, salary history, credit/bankruptcy history and criminal background/conviction history in making hiring decisions. If contacted for an employment opportunity, please advise Human Resources if you require accommodation.", "summaryDescription" : "Pizza Maker at Eataly North America. Prepare pizzas according to specific recipes. Comply with portion sizes", "postedDate" : "2026-06-15T20:13:43.000", "createdAt" : "2026-06-15T23:50:04.742", "lastUpdated" : "2026-06-16T10:36:28.831", "ingestTimestamp" : "2026-06-15T23:50:04.742", "mongoId" : "6a306261f292fd229cf9a0e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 39520, "salaryAnnualMax" : 43680, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Roman-style pizza alla pala" ], "skillCount" : 1, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 763.0608, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.9 }, { "id" : "6a3061bbf292fd229cf978db", "title" : "Sandwich Maker", "company" : "Dexterra Group", "industry" : "Hospitality", "salary" : { "min" : 36000.0, "max" : 45000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Sandwich Maker in Moosonee, Canada, adjusted for industry and company size." }, "location" : "Moosonee, ON, Canada", "locations" : [ "Moosonee", "ON", "Canada" ], "timestamp" : "2026-06-16T11:22:39.583", "fingerprint" : "d9b9a182020edc4100a2d83915e8b69e4e23d5f9dc86b26bcc03f0b2892f3990", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Dexterra/744000132222301-sandwich-maker-remote", "externalId" : "744000132222301", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Moosonee", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "51.2670710,-80.6506350" } ], "locationText" : "Moosonee, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "rawDescription" : "WHO ARE WE? Dexterra Group is a fast-growing, financially strong, publicly listed company (TSX:DXT). We have a far-reaching presence across the entire continent North America with hundreds of full-time and part-time opportunities at any given time. We aim to provide our people with more than just a job – we offer fulfilling opportunities in a culture that promotes stability, diversity and inclusion, camaraderie, employee recognition, work-life balance, and doing what you love. For over 75 years, the companies that began independently, and now form Dexterra Group, have been dedicated to serving North American clients to create and manage built environments that play a vital role in our economy and our local communities. And, that’s something we’re truly proud of. Work That Matters, People Who Care. WHAT'S THE JOB? The Sandwich Maker is an integral member of the Culinary team. Working both day and night shifts, the Sandwich Maker prepares a wide variety of sandwich and specialty items to fulfill the bagged lunch program. The Sandwich Maker will work with Culinary leads to present attractive and well-prepared products each day. This posting is for future opportunities within the company at our project in Moosonee, ON. The position involves a remote work lifestyle in a camp setting with the following amenities: * All meals and accommodations are provided * Travel is provided to and from the site locations from designated locations. * Private room with cable television * Access to Wi-Fi * Access to laundry facilities and detergents * Access to a gym and common areas Key responsibilities include: * Preparing all sandwiches according to standard recipes and menus including specialty sandwiches and compounds (i.e.: egg salad, tuna, etc.) * Properly rotate food products in order to keep spoilage and waste to a minimum * Monitoring and coordinating the day to day set ups of sandwiches * Maintaining a clean and sanitized workspace while complying with statutory and company hygiene requirements including floors, counters, shelves, fixtures, fittings, fridges and walls * Visually inspecting appearance of all cold food for proper color combination and overall presentation to maintain appeal * Properly rotate food products in order to keep spoilage and waste to a minimum * Maintaining sufficient inventory levels of all sandwich varieties ## Qualifications WHO ARE WE LOOKING FOR? * Large-scale cooking in camp settings, banquet halls and/or hotels is a strong asset * Previous experience in a sandwich-maker role at a mass-production level is preferred * Current Food Safe certification is preferred * Ability to commit to a 2 week on/2 week off rotation * A team-player who is committed to providing client satisfaction * Must have valid government issued photo ID for travel to site * Must have the ability to complete a Criminal Background Check * Be able to handle the following physical demands: * Lift, carry, push, or pull up to 50 lbs * Climb ladders or stairs * Stand, walk, squat, kneel or sit according to task for extended lengths of time * Perform repetitive hand work requiring full use of both hands * Perform work with arms at full length * Work with arms above shoulder height ## Additional Information WHAT’S IN IT FOR YOU? * Enjoy excellent work-life balance with a 2 week on/ 2 week off rotation * Ability to expand skills in a large camp atmosphere * Whereas other companies are downsizing, we are growing! * Be #1 on day 1 by joining an industry leader Work schedule and remuneration: Sandwich Makers work on a rotational schedule of 2 weeks on/2 weeks off. Site locations are in remote settings, requiring either air travel to site, or via ground on our shuttle. You may be required to work nights, weekdays, weekends, and general holidays. Dexterra Group is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Indigenous status, or any other legally protected factors. Disability-related accommodations during the hiring selection process are available upon request. #IND2", "summaryDescription" : "Sandwich Maker at Dexterra Group", "postedDate" : "2026-06-15T14:57:02.000", "createdAt" : "2026-06-15T23:55:01.954", "lastUpdated" : "2026-06-16T11:22:39.583", "ingestTimestamp" : "2026-06-15T23:55:01.954", "mongoId" : "6a3061bbf292fd229cf978db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 753.7249, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305817f292fd229cf402e6", "title" : "Sandwich Maker", "company" : "Dexterra Group", "industry" : "Hospitality", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Sandwich Maker in Moosonee, Canada, adjusted for the hospitality industry." }, "location" : "Moosonee, ON, Canada", "locations" : [ "Moosonee", "ON", "Canada" ], "timestamp" : "2026-06-16T08:13:52.451", "fingerprint" : "a1c5954eceeca82b32b6559dd025baffa0f1885faa4ceb9c1bd937a35ff95a68", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Dexterra/744000132222301-sandwich-maker-remote", "externalId" : "744000132222301", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Moosonee", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "51.2670710,-80.6506350" } ], "locationText" : "Moosonee, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "rawDescription" : "WHO ARE WE? Dexterra Group is a fast-growing, financially strong, publicly listed company (TSX:DXT). We have a far-reaching presence across the entire continent North America with hundreds of full-time and part-time opportunities at any given time. We aim to provide our people with more than just a job – we offer fulfilling opportunities in a culture that promotes stability, diversity and inclusion, camaraderie, employee recognition, work-life balance, and doing what you love. For over 75 years, the companies that began independently, and now form Dexterra Group, have been dedicated to serving North American clients to create and manage built environments that play a vital role in our economy and our local communities. And, that’s something we’re truly proud of. Work That Matters, People Who Care. WHAT'S THE JOB? The Sandwich Maker is an integral member of the Culinary team. Working both day and night shifts, the Sandwich Maker prepares a wide variety of sandwich and specialty items to fulfill the bagged lunch program. The Sandwich Maker will work with Culinary leads to present attractive and well-prepared products each day. This posting is for future opportunities within the company at our project in Moosonee, ON. The position involves a remote work lifestyle in a camp setting with the following amenities: * All meals and accommodations are provided * Travel is provided to and from the site locations from designated locations. * Private room with cable television * Access to Wi-Fi * Access to laundry facilities and detergents * Access to a gym and common areas Key responsibilities include: * Preparing all sandwiches according to standard recipes and menus including specialty sandwiches and compounds (i.e.: egg salad, tuna, etc.) * Properly rotate food products in order to keep spoilage and waste to a minimum * Monitoring and coordinating the day to day set ups of sandwiches * Maintaining a clean and sanitized workspace while complying with statutory and company hygiene requirements including floors, counters, shelves, fixtures, fittings, fridges and walls * Visually inspecting appearance of all cold food for proper color combination and overall presentation to maintain appeal * Properly rotate food products in order to keep spoilage and waste to a minimum * Maintaining sufficient inventory levels of all sandwich varieties ## Qualifications WHO ARE WE LOOKING FOR? * Large-scale cooking in camp settings, banquet halls and/or hotels is a strong asset * Previous experience in a sandwich-maker role at a mass-production level is preferred * Current Food Safe certification is preferred * Ability to commit to a 2 week on/2 week off rotation * A team-player who is committed to providing client satisfaction * Must have valid government issued photo ID for travel to site * Must have the ability to complete a Criminal Background Check * Be able to handle the following physical demands: * Lift, carry, push, or pull up to 50 lbs * Climb ladders or stairs * Stand, walk, squat, kneel or sit according to task for extended lengths of time * Perform repetitive hand work requiring full use of both hands * Perform work with arms at full length * Work with arms above shoulder height ## Additional Information WHAT’S IN IT FOR YOU? * Enjoy excellent work-life balance with a 2 week on/ 2 week off rotation * Ability to expand skills in a large camp atmosphere * Whereas other companies are downsizing, we are growing! * Be #1 on day 1 by joining an industry leader Work schedule and remuneration: Sandwich Makers work on a rotational schedule of 2 weeks on/2 weeks off. Site locations are in remote settings, requiring either air travel to site, or via ground on our shuttle. You may be required to work nights, weekdays, weekends, and general holidays. Dexterra Group is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Indigenous status, or any other legally protected factors. 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Since the 1990s, our ability to build new aviation and military systems and maintain the ones we already have has eroded. Today, the gap between what the nation needs to produce and what it is capable of producing is the largest it has been in generations. To help close that gap, Amca rapidly develops and manufactures new critical components and subsystems required to build and sustain the planes, military vehicles, and core infrastructure America needs. Today, we operate seven factories nationwide, including our advanced prototyping and testing headquarters in El Segundo, and deliver avionics, hydraulic, and electrical components for platforms such as the F-35, F-16, F/A-18, 737MAX, 787, A320neo, A321, Mk-48, and M1 Abrams. Overview: You will take new product designs and bring them to life. You will concurrently design Amca products and manufacturing processes with the Design and Test Engineering teams. You’ll provide engineering knowledge to quickly execute new product designs and manufacture them at our production facilities to expand Amca’s product catalog. Responsibilities: Own prototyping and first builds of new hardware designs Work with Design Engineering teams to understand end-use applications and challenge requirements as needed Take full ownership of manufacturing and build of new product designs Prototype new components with manufacturability, integration, and performance as core constraints Work with Test Engineering teams to assist in creating any test tooling needed Work closely with Design Engineers to ensure that new designs are manufacturable at production facilities, and that DFM feedback is implemented Manage tooling configurations (drawing revisions, BOM structure, and part configuration) in accordance with aerospace standards and internal design and documentation controls Provide continuous feedback to Amca engineering teams to ensure that are products and processes fully optimized for reliability and cost Support build and manufacturing processes in our internal shops Assist with equipment selection and equipment onboarding Own manufacturing processes as the subject matter expert Support Amca with factory diligence and company development Evaluate product catalogs to help determine where the largest opportunities lie for catalog expansion Assist in the evaluation of factory designs and manufacturing engineering Work with cross functional engineering teams to expand manufacturing capabilities Qualifications: Exceptionally curious and fast learner. Able to contribute across diverse part categories and manufacturing processes. Demonstrated ability to use engineering first principles to challenge and simplify requirements. Hands-on and practical - comfortable building, testing, and troubleshooting in real-world environments. Independent and creative; thrives with ownership and minimal oversight. Experience with mechanical design as well as manufacturing processes, applying first-principles thinking to structural, thermal, material and production constraints. Proficient in CAD, PLM/PDM systems, geometric dimensioning and tolerancing (GD or. any individual who is granted U. S. permanent residence (\"Green Card\" holder); or. any individual who is granted status as a \"protected person\" under 8 U.S.C 1324b(a)(3). The Advanced Manufacturing Company of America prohibits discrimination or harassment based on the following categories: race, color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, age (40 years and over), sexual orientation, veteran and/or military status, protected medical leaves (requesting or approved for leave under the Family and Medical Leave Act or the California Family Rights Act), domestic violence victim status, political affiliation, and any other status protected by state or federal law.", "summaryDescription" : "Senior Build Engineer at Amca. Skills: Build engineering, Manufacturing processes, Product development. Own prototyping. Own first builds", "postedDate" : "2026-06-14T20:12:38.346", "createdAt" : "2026-06-14T20:12:38.346", "lastUpdated" : "2026-06-16T03:17:36.950", "ingestTimestamp" : "2026-06-14T20:12:38.346", "mongoId" : "6a2c91bf74d8ee00a098405c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Manufacturing processes", "Geometric dimensioning tolerancing", "Build engineering", "Product development", "First principles thinking", "DFM feedback", "Aerospace standards", "CAD", "PLM/PDM systems" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 720.53906, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d6f74d8ee00a0978f92", "title" : "Senior Decision Scientist, Product Analytics", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 97000.0, "max" : 118000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:37:27.909", "fingerprint" : "6a1489b1dc12ed5276396969699744db2a4c902954b13a8d2e53d1a8285c62b6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/be2bc6b2-85d6-407a-9d0f-2fd755645f28/application", "externalId" : "be2bc6b2-85d6-407a-9d0f-2fd755645f28", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Statistical modeling", "Machine learning modeling", "Experimentation" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Product Analytics, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Product Analytics", "Data Engineering" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and execute A/B tests, Analyze product performance, Build and maintain data pipelines, Collaborate with product managers, Communicate findings to stakeholders, Develop dashboards and reports, Mentor junior data scientists", "teamCollaboration" : "Product managers; Engineering teams; Marketing teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Product development lifecycle", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "product-development-lifecycle" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Product development lifecycle" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Stakeholder communication; Technical presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience, Bachelor's degree, SQL proficiency, Experience with Python or R, Experience with data warehousing", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks, Experience with A/B testing, Experience with causal inference", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is seeking a Senior Decision Scientist to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. With over 50 people, Ibotta’s Analytics team uses the latest developments not only in our core technical capabilities such as statistics, machine learning, testing methodologies, and data engineering, but also in the broader aspects of an analytics organization such as minimizing technical debt, increasing organizational data literacy, and developing analytics leadership, making Ibotta a place where individuals at all levels can learn and grow their careers. As a Senior Decision Scientist, you will be responsible for providing actionable and data-driven recommendations to internal and external stakeholders. You’ll have the opportunity to work alongside talented individuals and understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our largest line of business. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Leading projects to build causal inference models (A/B testing), automation of existing reports and deliverables, machine learning models, root cause analysis of upstream data issues, and market analysis case studies - Working cross-functionally to analyze large amounts of behavioral and transaction data to provide clients with actionable insights about Ibotta’s users and campaign performance - Communicating complex analyses and data intricacies in a clear, concise manner both internally as well as to external clients - Serving as a leader for the ideation, development, and support on strategic initiatives including statistical modeling and advanced analytics within the team - Mentoring other members of the team - Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we are looking for: - 5+ years of practical work experience in Analytics - Bachelor’s degree in Computer Science, Engineering or a related field - Moderate to advanced knowledge of common data science software development packages (Python, R, etc.) and their relevant libraries, along with strong SQL and proven data wrangling and feature engineering skills - Ability to drive projects end-to-end with minimal guidance/oversight, with examples of high-quality output that provide actionable, business-focused insights and recommendations - Initiative to proactively anticipate and solve important problems - Ability to communicate complex analytical concepts clearly and concisely both in written form and verbally to both technical and non-technical audiences, with a track record of strong partnerships with key stakeholders and clients across multiple functions - 5+ years of practical work experience in Analytics About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $97,000 - $118,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Senior Decision Scientist, Product Analytics at Ibotta. Skills: Data Science, Machine Learning, Product Analytics, Data Engineering. Develop and implement machine learning models. Design and execute A/B tests", "createdAt" : "2026-06-14T18:13:53.229", "lastUpdated" : "2026-06-15T21:37:27.909", "ingestTimestamp" : "2026-06-14T18:13:53.229", "mongoId" : "6a2c8d6f74d8ee00a0978f92", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 97000, "salaryAnnualMax" : 118000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Statistical modeling", "Machine learning modeling", "Experimentation", "Data Science", "Machine Learning", "Product Analytics", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference", "E-commerce analytics", "Customer behavior analysis", "Product development lifecycle", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 711.90814, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c95ab74d8ee00a098dacd", "title" : "Senior Engineering Manager - Market Maker", "company" : "Fanatics Betting & Gaming", "industry" : "FinTech", "salary" : { "min" : 204250.0, "max" : 268750.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T04:58:47.724", "fingerprint" : "f06c43e442642e7bc330c226e1a9ce4ee0dfe9cb47a6767becb06813aabbe541", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4271710009", "externalId" : "4271710009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Java, Kotlin, Kafka, Redis, Postgres, Kubernetes", "professionalSkills" : [ "Technical direction", "Team culture", "Delivery management", "Roadmap alignment", "Prioritization", "Resourcing decisions", "Stakeholder alignment" ], "hardSkillsList" : [ "Pricing engine", "Order management", "PnL monitoring", "Risk monitoring", "Trading UI", "Spread logic", "Adverse selection", "Inventory risk", "Hold rate" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Pricing engine", "level" : "intermediate" }, { "name" : "Order management", "level" : "intermediate" }, { "name" : "PnL monitoring", "level" : "intermediate" }, { "name" : "Risk monitoring", "level" : "intermediate" }, { "name" : "Trading UI", "level" : "intermediate" }, { "name" : "Spread logic", "level" : "intermediate" }, { "name" : "Adverse selection", "level" : "intermediate" }, { "name" : "Inventory risk", "level" : "intermediate" }, { "name" : "Hold rate", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Market Making, Distributed systems, Event-driven systems, P&L management", "majorSkillsList" : [ "Market Making", "Distributed systems", "Event-driven systems", "P&L management" ], "coreResponsibilities" : "Build Market Making engineering team, Recruit engineers, Develop engineers, Retain engineers, Set technical direction, Own team's delivery, Define engineering goals, Hold team accountable, Partner with trading team, Align roadmap priorities, Build operational foundation, Develop trading fluency, Advocate for team, Drive clarity on P&L ownership, Drive clarity on headcount, Drive clarity on dependencies", "teamCollaboration" : "Partner with trading team; Partner with FMX product; Align with Trading; Align with Product; Align with Finance; Align with Legal", "projectManagementSkills" : [ "Roadmap priorities" ], "domainKnowledge" : "Prediction markets; Real-time trading; Financial infrastructure; High-throughput platforms; Low-latency platforms; Trading economics; Spreads; Adverse selection; Inventory risk; Hold rate; Pricing models; Spread logic; Inventory management", "domainList" : [ "prediction-markets", "real-time-trading", "financial-infrastructure", "high-throughput-platforms", "low-latency-platforms", "trading-economics", "spreads", "adverse-selection", "inventory-risk", "hold-rate", "pricing-models", "spread-logic", "inventory-management" ], "domainSpecificKnowledge" : [ "Prediction markets", "Real-time trading", "Financial infrastructure", "High-throughput platforms", "Low-latency platforms", "Trading economics", "Spreads", "Adverse selection", "Inventory risk", "Hold rate", "Pricing models", "Spread logic", "Inventory management" ], "toolProficiency" : [ "Kafka", "Redis", "Postgres", "Kubernetes" ], "communicationSkills" : "Influence stakeholders", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "On-call rotation, Incident response runbooks, Kill switch protocols, Escalation paths", "qualificationsBasic" : "10+ years software engineering, 4+ years managing teams, Experience with distributed systems, Experience with event-driven systems, Experience building business-critical systems, Ability to create clarity, Excellent communication skills, Excellent leadership skills, Own a real P&L", "qualificationsPreferred" : "Background in real-time trading systems, Background in financial infrastructure, Background in prediction markets, Experience in high-throughput platforms, Experience in low-latency platforms, Familiarity with quantitative concepts, Experience standing up on-call programs, Experience with SLAs, Experience with operational frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, it lets users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Its mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. We’re hiring for our Market Making team that sits outside the Fanatics Markets application’s operation, working independently with a third-party exchange and clearinghouse. The Market Maker provides liquidity across prediction markets — making every market feel deep, competitive, and tradeable — while managing its own P&L as an independent business line within the org. The Market Maker controls its data ingestion, pricing engine, order management, PnL and risk monitoring, and the internal Trading UI its traders rely on around the clock. The market making team is small, moves fast, and deploys to production daily. We're expanding coverage across every major sport, market type, and event available to trade. World Cup 2026 is our next major milestone, and the NFL season follows close behind. Role Overview We're looking for a Senior Engineering Manager to build and lead the Market Making engineering team from the ground up. This is a founding leadership role — you'll own technical direction, team culture, and delivery for systems where real money is on the line with every price we quote. You'll partner directly with our trading team, manage a P&L you can see every morning, and build the operational foundation that lets us trade at scale and with confidence. Responsibilities Build and lead the Market Making engineering team — recruiting, developing, and retaining engineers across the full pipeline from pricing and order management to PnL infrastructure and Trading UI. Set technical direction for the team's distributed, event-driven systems built on Java, Kafka, Redis, Postgres, and Kubernetes — ensuring architectural decisions hold up as we expand to new sports, market types, and exchange venues. Own the team's delivery and operational excellence: define engineering goals around availability, performance, and deployment cadence, and hold the team accountable to outcomes — not just output. Partner with our trading team and FMX product to align roadmap priorities, balancing near-term exchange coverage (World Cup, NFL) with longer-term platform investments like in-house pricing models and exchange abstraction. Build the operational foundation for live trading: on-call rotation, incident response runbooks, kill switch protocols, and escalation paths for P&L-impacting events. Develop genuine fluency in our trading economics — spreads, adverse selection, inventory risk, hold rate — and use that context to make better resourcing and prioritization decisions. Advocate for the team across the organization, driving clarity on P&L ownership, headcount, and cross-team dependencies with Trading, Product, Finance, and Legal. Experience and Skills 10+ years of software engineering experience, including 4+ years managing engineering teams Proven success leading teams that build and operate distributed, event-driven systems at scale — with strong familiarity with Java/Kotlin, Kafka, Redis, Postgres, and Kubernetes. Track record of building engineering organizations that deliver business-critical systems with both reliability and speed — ideally in a startup or high-growth environment where the org was still taking shape. Strong ability to create clarity in ambiguous, complex environments — across technical architecture, team structure, and stakeholder alignment. Excellent communication and leadership skills, with the ability to influence both engineers and non-technical stakeholders including trading, finance, and executive leadership. Comfortable owning a real P&L: you can read a daily snapshot, understand what drove the outcome, and make engineering decisions informed by commercial context. Preferred Background in real-time trading systems, financial infrastructure, or prediction markets — or strong adjacent experience in high-throughput, low-latency platforms where correctness has direct financial consequences. Familiarity with quantitative concepts: pricing models, spread logic, adverse selection, or inventory management Experience standing up on-call programs, SLAs, and operational frameworks for systems that can't afford downtime. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-Remote Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $204,250—$268,750 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Senior Engineering Manager - Market Maker at Fanatics Betting & Gaming. Skills: Market Making, Distributed systems, Event-driven systems, P&L management. Build Market Making engineering team. Recruit engineers", "postedDate" : "2026-06-14T03:56:06.177", "createdAt" : "2026-06-14T03:56:06.177", "lastUpdated" : "2026-06-15T04:58:47.724", "ingestTimestamp" : "2026-06-14T03:56:06.177", "mongoId" : "6a2c95ab74d8ee00a098dacd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 204250, "salaryAnnualMax" : 268750, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Pricing engine", "Order management", "PnL monitoring", "Risk monitoring", "Trading UI", "Spread logic", "Adverse selection", "Inventory risk", "Hold rate", "Leadership", "Mentoring", "Market Making", "Distributed systems", "Event-driven systems", "P&L management", "Technical direction", "Team culture", "Delivery management", "Roadmap alignment", "Prioritization", "Resourcing decisions", "Stakeholder alignment", "Roadmap priorities", "Prediction markets", "Real-time trading", "Financial infrastructure", "High-throughput platforms", "Low-latency platforms", "Trading economics", "Spreads", "Pricing models", "Inventory management", "Kafka", "Redis", "Postgres", "Kubernetes" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 710.383, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c94e074d8ee00a098bc7c", "title" : "Cabinet Maker / Carpenter", "company" : "Jack Morton Worldwide", "industry" : "Manufacturing", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Cabinet Maker/Carpenter in Addison, United States, adjusted for company size and industry." }, "location" : "Addison, Illinois, United States", "locations" : [ "Addison", "Illinois", "United States" ], "timestamp" : "2026-06-15T12:06:24.435", "fingerprint" : "4f1b6d351eaa375591b3f7a3d9859577dffefc2ecd9167c4eb7426192e5503b1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/jackmortonworldwide/jobs/4278549009", "externalId" : "4278549009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Addison", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.9316960,-87.9889556" } ], "locationText" : "Addison, Illinois, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Cabinet making", "Carpentry", "Custom work building" ], "hardSkills" : [ { "name" : "Cabinet making", "level" : "intermediate" }, { "name" : "Carpentry", "level" : "intermediate" }, { "name" : "Custom work building", "level" : "intermediate" } ], "majorSkills" : "Cabinet making, Carpentry", "majorSkillsList" : [ "Cabinet making", "Carpentry" ], "coreResponsibilities" : "Build environments people walk through, Build environments people interact with, Build environments people remember, Build massive trade show booths, Build immersive branded spaces, Build walls, Build cabinets, Build counters, Build finishes, Build details", "specialRequirements" : "Work onsite 5 days/week", "qualificationsBasic" : "Skilled carpenters and cabinet makers, Pride in doing things right, Care about craftsmanship, Enjoy building custom work, See projects come to life", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Experience Without Limits. Come shape the future of brand experience. At Jack Morton, we create, and build, head-turning, smile-inducing, impact driving brand experiences. We exist to redefine what experiential can achieve, helping clients unlock the full value of experiences. That takes a team that’s bold, curious, and acts as one - building on ideas, pushing boundaries, and showing up for each other. Here, you’ll do your best work, grow fast, and collaborate across clients, disciplines, and global teams to bring new ideas to life. This is a place where curiosity drives what’s next, boldness raises the bar, and we win together. Where ownership is expected, egos are left at the door, and the work reflects the people behind it. Experience without limits — in your work, your growth, and your impact. **Must be able to work onsite in Addison, IL 5 days/week** Build What People Remember. At Jack Morton, we don’t just build displays, we build the environments people walk through, interact with, and remember. From massive trade show booths to immersive branded spaces, our work shows up on some of the biggest stages in the world. Every wall, cabinet, counter, finish, and detail matters. That’s why we’re looking for skilled carpenters and cabinet makers who take pride in doing things the right way. If you care about craftsmanship, enjoy building custom work, and want to see your projects come to life for global brands, this is the shop for you. Cabinet Maker / Carpenter – Trade Shows we strongly value diversity at our companies. We do not discriminate on race, religion, color, national origin, disability, sexual orientation, gender identity, gender expression, age, marital status, veteran status, or any other basis prohibited by law. #LI-WK1 We make our careers website accessible to any and all users. If you need an accommodation to participate in the application process, please contact us at jobaccomodations@jackmorton.com. This email address is not for general employment inquiries or vendors; rather it is strictly for applicants who require special assistance accessing our employment website. Due to volume, messages sent to this email address that are not related to an accommodation cannot be answered. ***JOB SCAM ALERT*** We have recently become aware that individuals not associated with Jack Morton have fraudulently used our name – and the names of some of our employees – to solicit applications for fake jobs, to conduct fake job interviews and to make fake job offers. Any request to schedule an interview and any bona fide offer of employment will only come from an authorized representative of Jack Morton with an email address “@jackmorton.com” or “@jackmorton.co.uk” or \"@impact-xm\". We will never require an applicant to provide credit card or banking information to cover any supposed advance costs. If you have provided personal information in connection with a fake job offer or interview and you are concerned, we suggest that you take appropriate action. Jack Morton takes these activities very seriously and are taking appropriate steps to shut down this fraudulent activity. We urge you to be careful when sharing your personal information and to be aware of scams involving fake job postings and job offers.", "summaryDescription" : "Cabinet Maker / Carpenter at Jack Morton Worldwide. Skills: Cabinet making, Carpentry. Build environments people walk through. Build environments people interact with", "postedDate" : "2026-06-14T03:25:49.848", "createdAt" : "2026-06-14T03:25:49.848", "lastUpdated" : "2026-06-15T12:06:24.435", "ingestTimestamp" : "2026-06-14T03:25:49.848", "mongoId" : "6a2c94e074d8ee00a098bc7c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Cabinet making", "Carpentry", "Custom work building" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 678.0427, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.92 }, { "id" : "69e1043d2beec4dd3def218f", "title" : "Senior Economist, Economic Decision Science", "company" : "Amazon EU SARL (UK Branch)", "industry" : "Economics, Economist, Retail", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Economist in London, adjusted for the e-commerce industry and Amazon's company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T02:05:28.468", "fingerprint" : "57422926dc37bb106d4504522c1b148a5a7eaac7134094b0ee17bc8376b40227", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387171/apply", "externalId" : "d35d4162-b9b1-4309-8a18-14e494974d3f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Econometrics, Machine learning, Experimentation", "professionalSkills" : [ "Economic decision science", "Business problems", "Product assortment" ], "hardSkillsList" : [ "Causal modeling", "Graphical models", "Causal Bayesian network", "Potential outcomes", "A/B testing", "Experiments", "Quasi-experiments", "Data science workflows" ], "hardSkills" : [ { "name" : "Causal modeling", "level" : "intermediate" }, { "name" : "Graphical models", "level" : "intermediate" }, { "name" : "Causal Bayesian network", "level" : "intermediate" }, { "name" : "Potential outcomes", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Experiments", "level" : "intermediate" }, { "name" : "Quasi-experiments", "level" : "intermediate" }, { "name" : "Data science workflows", "level" : "intermediate" } ], "majorSkills" : "Econometrics, Machine learning, Experimentation", "majorSkillsList" : [ "Econometrics", "Machine learning", "Experimentation" ], "coreResponsibilities" : "Develop econometric models, Develop experiments, Measure customer impact, Measure financial impact, Collaborate with other scientists, Deliver measurable progress, Influence business leaders", "teamCollaboration" : "Interdisciplinary team; Economists; Product managers; Engineers; Scientists", "domainKnowledge" : "Amazon Retail; Product assortment", "domainList" : [ "amazon-retail", "product-assortment" ], "domainSpecificKnowledge" : [ "Amazon Retail", "Product assortment" ], "innovationCreativity" : "Innovative approach; Pioneering solutions", "problemSolvingSkills" : "Quantitative approach; Solving problems", "outcomesObjectives" : "Impact Amazon’s business position", "qualificationsBasic" : "PhD in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent, Experience in causal modeling, Experience distilling informal customer requirements", "qualificationsPreferred" : "Experience communicating results to senior leadership, Experience building financial and operational reports/data sets, Experience conducting research on a global scale", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a Senior Economist to work on exciting and challenging business problems related to Amazon Retail’s worldwide product assortment. You will build innovative solutions based on econometrics, machine learning, and experimentation. You will be part of a interdisciplinary team of economists, product managers, engineers, and scientists, and your work will influence finance and business decisions affecting Amazon’s vast product assortment globally. If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Key job responsibilities * Work on a challenging problem that has the potential to significantly impact Amazon’s business position * Develop econometric models and experiments to measure the customer and financial impact of Amazon’s product assortment * Collaborate with other scientists at Amazon to deliver measurable progress and change * Influence business leaders based on empirical findings Basic Qualifications: - PhD in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent - Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Preferred Qualifications: - Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making - Experience conducting research on a global scale 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" : "Senior Economist, Economic Decision Science at Amazon EU SARL (UK Branch). Skills: Econometrics, Machine learning, Experimentation. Develop econometric models. Develop experiments", "postedDate" : "2026-06-13T14:20:12.284", "createdAt" : "2026-06-13T14:20:12.284", "lastUpdated" : "2026-06-15T02:05:28.468", "ingestTimestamp" : "2026-06-13T14:20:12.284", "mongoId" : "69e1043d2beec4dd3def218f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387171/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Causal modeling", "Graphical models", "Causal Bayesian network", "Potential outcomes", "A/B testing", "Experiments", "Quasi-experiments", "Data science workflows", "Econometrics", "Machine learning", "Experimentation", "Economic decision science", "Business problems", "Product assortment", "Amazon Retail" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 653.21857, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a456b74d8ee00a05d2103", "title" : "Senior Decision Scientist", "company" : "Instructure", "industry" : "General & Administration", "salary" : { "min" : 911000.0, "max" : 1100000.0, "currency" : "MXN", "frequency" : "Yearly" }, "location" : "Mexico", "locations" : [ "Mexico" ], "timestamp" : "2026-06-14T21:22:50.610", "fingerprint" : "35021dcdab80df32321f0a7b39ed78dc91a1d974e37d0d9b945fe82ed9a3a406", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/instructure/5264e2b8-1854-44ce-91b2-77ba2f522395/application", "externalId" : "5264e2b8-1854-44ce-91b2-77ba2f522395", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Mexico", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AI tooling, Snowflake, Databricks, Fivetran", "professionalSkills" : [ "Data-driven insights", "Analytical initiatives", "Product adoption", "Customer engagement", "Revenue growth", "Experimental rigor", "Product strategy", "Business strategy", "Analytical frameworks", "Strategic recommendations", "Analytical solutions", "AI-first thinking", "Decision science", "Insight delivery", "Analytical quality", "Stakeholder engagement" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Causal inference", "Experimental design", "A/B testing", "Data analysis", "Data modeling", "Data visualization", "Model deployment", "Impact measurement" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Impact measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Decision Science, Machine Learning, Causal Inference, Experimentation", "majorSkillsList" : [ "Decision Science", "Machine Learning", "Causal Inference", "Experimentation" ], "coreResponsibilities" : "Drive business impact, Identify high-value opportunities, Improve product adoption, Improve customer engagement, Improve revenue growth, Lead experimentation, Lead causal analysis, Design A/B tests, Execute A/B tests, Design causal inference studies, Execute causal inference studies, Evaluate impact of new features, Evaluate impact of pricing strategies, Evaluate impact of go-to-market initiatives, Champion experimental rigor, Influence product strategy, Influence business strategy, Partner with product managers, Partner with engineers, Partner with marketing leaders, Partner with senior stakeholders, Translate business questions, Build analytical frameworks, Deliver strategic recommendations, Deliver end-to-end analytical solutions, Own analytical initiatives lifecycle, Build models, Deploy solutions, Measure impact, Design analysis approaches, Recommend solutions, Elevate standards, Elevate throughput, Leverage AI tooling, Leverage modern analytical techniques, Contribute to best practices, Define standards for experimentation, Define standards for modeling, Define standards for insight delivery, Raise analytical quality bar, Mentor data scientists, Mentor analysts, Demonstrate best practices, Communicate insights clearly, Communicate insights effectively, Translate complex findings, Deliver actionable recommendations", "teamCollaboration" : "Cross-functional environment; Senior stakeholders; Product managers; Engineers; Marketing leaders", "projectManagementSkills" : [ "Lead initiatives" ], "domainKnowledge" : "SaaS; Product analytics; EdTech", "domainList" : [ "saas", "product-analytics", "edtech" ], "domainSpecificKnowledge" : [ "SaaS", "Product analytics", "EdTech" ], "toolProficiency" : [ "Claude", "ChatGPT", "Glean" ], "communicationSkills" : "Storytelling; Executive leadership; Technical audiences; Non-technical audiences", "continuousLearning" : "Learning and development resources; Professional development tools; Tuition reimbursement", "innovationCreativity" : "AI-first thinking", "problemSolvingSkills" : "Data-driven insights; Analytical frameworks; Analytical solutions", "specialRequirements" : "Background check, Identity verification", "outcomesObjectives" : "Improve product adoption; Improve customer engagement; Improve revenue growth", "qualificationsBasic" : "Master's degree or PhD, 5–7 years of experience, Expertise in statistical modeling, Expertise in machine learning, Expertise in causal inference, Expertise in experimental design, Proficiency in SQL, Proficiency in Python or R", "qualificationsPreferred" : "PhD preferred, Experience in SaaS, Experience in product analytics, Experience in EdTech environments", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: As a Senior Decision Scientist, you will drive meaningful business outcomes by leading complex analytical initiatives and serving as a trusted partner to senior stakeholders. What you will do: - Drive business impact through data-driven insights. Identify and pursue high-value opportunities to improve product adoption, customer engagement, and revenue growth using advanced analytical and statistical methods. - Lead experimentation and causal analysis. Design and execute rigorous A/B tests and causal inference studies to evaluate the impact of new product features, pricing strategies, and go-to-market initiatives. Champion experimental rigor across teams. - Influence product and business strategy. Partner with product managers, engineers, marketing leaders, and senior stakeholders to translate complex business questions into structured analytical frameworks and deliver strategic recommendations. - Deliver end-to-end analytical solutions. Own the full lifecycle of analytical initiatives — from identifying opportunities and building models to deploying solutions and measuring impact. - Default to AI-first thinking. Design analysis approaches, recommend solutions, and elevate standards and throughput across the team by leveraging AI tooling and modern analytical techniques. - Contribute to decision science best practices. Help define standards for experimentation, modeling, and insight delivery that raise the bar for analytical quality across the organization. - Mentor and elevate peers. Guide data scientists and analysts by demonstrating best practices in methodology, communication, and stakeholder engagement. - Communicate insights clearly and effectively. Translate complex analytical findings into actionable recommendations for both technical and non-technical audiences, including executive leadership. WHAT YOU WILL NEED TO KNOW/HAVE: - Master's degree or PhD in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field. - 5–7 years of experience in data science, analytics, or a related discipline with a track record of delivering high-impact, cross-functional insights. - Expertise in statistical modeling, machine learning, causal inference, and experimental design (A/B testing). - Deep familiarity with AI tooling (Claude, ChatGPT, Glean) to improve throughput and analytical quality. - Strong proficiency in SQL for data extraction and manipulation. - Proficiency in Python or R for data analysis, modeling, and visualization. - Experience working with modern data platforms (e.g., Snowflake, Databricks, Fivetran). - Strong communication and storytelling skills with the ability to translate complex analyses into clear, strategic narratives. - Demonstrated ability to lead end-to-end data science initiatives from problem definition through deployment and measurement. - Experience in SaaS, product analytics, or EdTech environments is a plus. - Ability to operate independently while collaborating effectively in a fast-paced, cross-functional environment. Get in on all the awesome at Instructure! We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect: - Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success. - Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location. - Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs. - Comprehensive wellness programs and mental health support - Learning and development resources, including professional development tools and tuition reimbursement, to support your growth - The technology and tools you need to do your best work - Motivosity employee recognition program - A culture rooted in inclusivity, support, and meaningful connection We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes. Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate. All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws. Any attempt to misrepresent personal or professional information will result in disqualification.", "summaryDescription" : "Senior Decision Scientist at Instructure. Skills: Decision Science, Machine Learning, Causal Inference, Experimentation. Drive business impact. Identify high-value opportunities", "postedDate" : "2026-06-11T19:54:28.684", "createdAt" : "2026-06-11T19:54:28.684", "lastUpdated" : "2026-06-14T21:22:50.610", "ingestTimestamp" : "2026-06-11T19:54:28.684", "mongoId" : "6a2a456b74d8ee00a05d2103", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Causal inference", "Experimental design", "A/B testing", "Data analysis", "Data modeling", "Data visualization", "Model deployment", "Impact measurement", "Leadership", "Mentoring", "Decision Science", "Machine Learning", "Causal Inference", "Experimentation", "Data-driven insights", "Analytical initiatives", "Product adoption", "Customer engagement", "Revenue growth", "Experimental rigor", "Product strategy", "Business strategy", "Analytical frameworks", "Strategic recommendations", "Analytical solutions", "AI-first thinking", "Decision science", "Insight delivery", "Analytical quality", "Stakeholder engagement", "Lead initiatives", "SaaS", "Product analytics", "EdTech", "Claude", "ChatGPT", "Glean" ], "skillCount" : 39, "jobCategory" : "other", "jobSubcategory" : "general-&-administration", "dataQualityScore" : 1.0, "_score" : 651.2099, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2ca66474d8ee00a09bb1dd", "title" : "Avionics Build and Integration Engineer II", "company" : "Inversion", "salary" : { "min" : 106000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Playa Vista, California, United States", "locations" : [ "Playa Vista", "California", "United States" ], "timestamp" : "2026-06-16T04:22:35.934", "fingerprint" : "d308233fb37db07f555a200805adb5fc2c6c898f578b627d1f715256d714d3a2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/inversionspace/jobs/4705252005", "externalId" : "4705252005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Playa Vista", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9760102,-118.4181654" } ], "locationText" : "Playa Vista, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Avionics systems, Hardware integration, Software integration, Build systems, Test automation, Python, C++, Linux, Scripting languages, CI/CD pipelines, Git, JIRA", "professionalSkills" : [ "System integration", "Problem solving", "Analytical skills" ], "hardSkillsList" : [ "Build engineering", "Integration engineering", "Test engineering" ], "hardSkills" : [ { "name" : "Build engineering", "level" : "intermediate" }, { "name" : "Integration engineering", "level" : "intermediate" }, { "name" : "Test engineering", "level" : "intermediate" } ], "majorSkills" : "Avionics integration, Build systems, Test automation", "majorSkillsList" : [ "Avionics integration", "Build systems", "Test automation" ], "coreResponsibilities" : "Develop and maintain build systems, Integrate avionics hardware and software, Develop and execute test plans, Automate build and test processes, Troubleshoot integration issues, Document build and integration procedures, Collaborate with engineering teams", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Avionics systems; Hardware integration; Software integration", "domainList" : [ "avionics-systems", "hardware-integration", "software-integration" ], "domainSpecificKnowledge" : [ "Avionics systems", "Hardware integration", "Software integration" ], "toolProficiency" : [ "Git", "JIRA" ], "documentationSkills" : "Documentation procedures", "problemSolvingSkills" : "Troubleshoot integration issues", "qualificationsBasic" : "Bachelor's degree in engineering, 5+ years of experience, Experience with avionics systems, Experience with hardware integration, Experience with software integration, Experience with build systems, Experience with test automation", "qualificationsPreferred" : "Master's degree preferred, Experience with Python, Experience with C++, Experience with Linux, Experience with scripting languages, Experience with CI/CD pipelines, Experience with Git, Experience with JIRA", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Turning Space into a Transportation Layer for Earth Who We Are: Inversion builds advanced reentry systems to deliver next-generation capabilities from space. Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach. Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds. Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U. S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics. What You'll Do As an Avionics Build and Integration Engineer at Inversion, you will report directly to the Manager of Arc Vehicle Avionics. In this role, you will own the physical build, wiring, and vehicle-level integration of the avionics and electrical subsystems for the Arc hypersonic reentry vehicle. You will act as the bridge between electrical design and physical flight hardware, routing complex harnesses, mounting flight computers and batteries, and resolving technical integration challenges directly on the floor. You will collaborate closely with both the centralized Platform Avionics team and the production floor to deliver high-reliability flight electronics. Key Responsibilities Own the physical integration, mechanical packaging, and routing of avionics hardware, sensors, and electrical harnesses on the Arc vehicle. Develop, release, and execute detailed manufacturing work instructions and assembly procedures for flight batteries, power distribution units, flight computers, and RF systems. Perform hands-on electrical assembly tasks, including high-reliability wire crimping, connector pinning, soldering, and mechanical assembly of ruggedized electronics. Execute electrical continuity, isolation, bonding, and initial power-on testing of vehicle avionics and subsystems on the integration floor. Support the setup, calibration, and operation of Hardware-in-the-Loop (HIL) testbeds and electrical ground support equipment (GSE) for avionics checkout. Troubleshoot electrical anomalies, sensor drops, and harnessing non-conformances on the integration floor in real-time. Coordinate with the centralized Production team to ensure avionics assemblies and harness runs meet aerospace quality and inspection standards. Required Qualifications Bachelor’s degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, or equivalent technical experience. Typically 2+ years of hands-on experience in avionics assembly, electrical integration, and troubleshooting of high-reliability hardware. Strong practical electrical skills, including harness routing, connector pinning, wire crimping, and reading electrical schematics. Experience using electronic test equipment such as digital multimeters, oscilloscopes, power supplies, and breakout boxes. Familiarity with mechanical assembly and packaging of ruggedized electronic components. Demonstrated excellent verbal and written communication skills. Desired Qualifications Experience with spacecraft, launch vehicle, or high-reliability tactical electronics integration. Familiarity with aerospace standards for harnessing and soldering. Experience with RF systems, antennas, and coaxial cable routing/testing. Prior experience working in a fast-paced, high-mix/low-volume startup environment. Our office headquarters is located in Playa Vista, CA. This position requires in office presence. The California annual base salary for this role is currently $106,000 - $150,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity. ITAR Compliance: To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. Learn more about the ITAR here. Equal Employment Opportunity: Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability. Inversion collects and processes personal data in accordance with applicable data protection laws. If you are a US Job Applicant see the CCPA Privacy Policy Notice for further details.", "summaryDescription" : "Avionics Build and Integration Engineer II at Inversion. Skills: Avionics integration, Build systems, Test automation. Develop and maintain build systems. Integrate avionics hardware and software", "postedDate" : "2026-06-14T18:42:21.899", "createdAt" : "2026-06-14T18:42:21.899", "lastUpdated" : "2026-06-16T04:22:35.934", "ingestTimestamp" : "2026-06-14T18:42:21.899", "mongoId" : "6a2ca66474d8ee00a09bb1dd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 106000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Build engineering", "Integration engineering", "Test engineering", "Avionics integration", "Build systems", "Test automation", "System integration", "Problem solving", "Analytical skills", "Avionics systems", "Hardware integration", "Software integration", "Git", "JIRA" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 643.92694, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0de91258b93c861eb99059", "title" : "Financial Analyst Senior - Decision Support Services", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Financial Analyst in Tampa, United States, adjusted for the healthcare industry and onsite work mode." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Corporate Center (TGHCORPCTR)
606 W Kennedy Blvd

Tampa, 33606

" ], "timestamp" : "2026-06-15T09:59:14.641", "fingerprint" : "5ce20a27fb17ee0f692b1bf9589ff6be61ec7a5a039241696fe2c4e6f34b439e", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=678671", "externalId" : "678671", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Decision support systems, ERP systems", "professionalSkills" : [ "Financial analysis", "Decision support", "Healthcare analytics", "Financial planning", "Forecasting", "Strategic initiatives", "Data analysis", "Budget development", "Performance analysis", "Cost analysis", "Margin analysis", "Productivity analysis", "Trend analysis" ], "hardSkillsList" : [ "Financial modeling", "Data synthesis", "Data validation", "Variance analysis" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Financial analysis, Decision support, Healthcare finance", "majorSkillsList" : [ "Financial analysis", "Decision support", "Healthcare finance" ], "coreResponsibilities" : "Lead financial analyses, Lead operational analyses, Provide analytical support, Support financial planning, Support forecasting, Support strategic initiatives, Translate data into insights, Create enterprise datasets, Manage enterprise datasets, Validate enterprise datasets, Synthesize data from systems, Develop system-level reports, Develop dashboards, Develop analyses, Analyze budget-to-actual variances, Analyze performance variances, Identify key drivers, Communicate implications to leadership, Act as data steward, Support standard definitions, Support data quality, Support reporting consistency, Promote continuous improvement, Identify process enhancements, Identify automation opportunities, Identify reporting efficiency opportunities, Provide informal mentorship, Support system-level initiatives", "teamCollaboration" : "Executive stakeholders; Cross functional teams; Finance leadership; Operational leaders; Clinical stakeholders", "domainKnowledge" : "Healthcare finance; Enterprise data structures; Multi-entity healthcare", "domainList" : [ "healthcare-finance", "enterprise-data-structures", "multi-entity-healthcare" ], "domainSpecificKnowledge" : [ "Healthcare finance", "Enterprise data structures", "Multi-entity healthcare" ], "toolProficiency" : [ "Strata", "PeopleSoft" ], "communicationSkills" : "Executive presentations; System-level reporting", "problemSolvingSkills" : "Actionable insights", "outcomesObjectives" : "Support financial sustainability; Support operational performance; Support long-term strategy", "qualificationsBasic" : "Bachelor's Degree in Business, 5 years financial analysis, 5 years decision support, 5 years healthcare analytics, Experience in health system, Experience in multi-entity healthcare, Experience with decision support systems, Experience with ERP systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Financial Analyst Sr provides advanced, system level financial and decision support analytics to enterprise finance leadership, executive stakeholders, and cross functional teams. This role focuses on enterprise performance, standardization, and strategic decision-making across the health system. Applies advanced knowledge of healthcare finance, decision support systems, and enterprise data structures to translate complex, multi-entity information into actionable insights that support financial sustainability, operational performance, and long-term system strategy. Essential Functions: Lead and deliver system‑level financial and operational analyses, including service line performance, productivity, cost, margin, and volume trends across hospitals and entities. Provide advanced analytical support for departmental and service line budget development, including modeling assumptions, validating inputs, and ensuring consistency across the system. Support enterprise financial planning, forecasting, and strategic initiatives through integrated financial and operational analytics. Partner with Finance leadership, operational leaders, and clinical stakeholders to translate complex data into actionable insights and recommendations. Create, manage, and validate enterprise‑level datasets, synthesizing data from multiple financial and operational systems. Develop and present system‑level reports, dashboards, and analyses for executive and governance audiences. Analyze budget‑to‑actual and performance variances, identify key drivers, and communicate implications to leadership. Act as a steward of enterprise financial and operational metrics, supporting standard definitions, data quality, and reporting consistency. Promote continuous improvement by identifying opportunities to enhance decision support processes, automation, and reporting efficiency. Provide informal mentorship to Financial Analyst Accountant(s) and support other system-level initiatives as assigned. Bachelor's Degree in Business, Finance, Healthcare Administration, and/or other related field. 5 years of progressive experience in financial analysis, decision support, or healthcare analytics. Experience in a health system or multi-entity healthcare environment. Experience with decision support and ERP systems (e.g., Strata, PeopleSoft or comparable platforms). Tampa", "summaryDescription" : "Financial Analyst Senior - Decision Support Services. Skills: Financial analysis, Decision support, Healthcare finance. Lead financial analyses. Lead operational analyses", "createdAt" : "2026-06-14T08:38:35.056", "lastUpdated" : "2026-06-15T09:59:14.641", "ingestTimestamp" : "2026-06-14T08:38:35.056", "mongoId" : "6a0de91258b93c861eb99059", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Data synthesis", "Data validation", "Variance analysis", "Mentorship", "Financial analysis", "Decision support", "Healthcare finance", "Healthcare analytics", "Financial planning", "Forecasting", "Strategic initiatives", "Data analysis", "Budget development", "Performance analysis", "Cost analysis", "Margin analysis", "Productivity analysis", "Trend analysis", "Enterprise data structures", "Multi-entity healthcare", "Strata", "PeopleSoft" ], "skillCount" : 23, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 640.03253, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a30531ff292fd229cf112d5", "title" : "Model Maker 3D Printing Specialist", "company" : "Mattel", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 90000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Model Maker 3D Printing Specialist in Montreal, Canada, adjusted for industry and company size." }, "location" : "Montréal, QUEBEC, Canada", "locations" : [ "Montréal", "QUEBEC", "Canada" ], "timestamp" : "2026-06-16T06:42:06.505", "fingerprint" : "3d8f2007b985b78d7a834ea92e26fa8c6ba155886109185211806350716c23c2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MattelInc/744000132190849-model-maker-3d-printing-specialist-", "externalId" : "744000132190849", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montréal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montréal, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "coreResponsibilities" : "Operate and maintain 3D printers, Prepare 3D models for printing, Perform post-processing on printed parts, Troubleshoot printing issues, Maintain printer inventory and supplies, Collaborate with design teams, Ensure quality control of prints, Document printing processes", "teamCollaboration" : "Collaborate with design teams", "domainKnowledge" : "3D printing technologies; Additive manufacturing", "domainList" : [ "3d-printing-technologies", "additive-manufacturing" ], "domainSpecificKnowledge" : [ "3D printing technologies", "Additive manufacturing" ], "documentationSkills" : "Document printing processes", "problemSolvingSkills" : "Troubleshoot printing issues", "outcomesObjectives" : "Ensure quality control of prints", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "CREATIVITY IS OUR SUPERPOWER. It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers. The Team : The Prototyping Workshop supports the various departments of Mattel Building Sets in product development activities, as well as in the creation of mock-ups and models used to promote different toy lines. The Opportunity: The Model Maker 3D Printing Specialist plays a key role within the Product Development team. This position is responsible for the day-to-day operations of the 3D printing department, which is at the heart of prototyping, concept validation, and new product development activities. Using files provided by the Design and Engineering teams, the incumbent is responsible for preparing, printing, post-processing, and performing quality inspections on printed parts. The Technician also contributes to the optimal performance of the equipment by carrying out preventive maintenance and assisting with technical troubleshooting. ## Qualifications What We’re Looking For: * Proficiency with 3D printing technologies and print preparation software such as Grabcad et Preform. * Ability to read, modify, and optimize 3D design files, particularly in SolidWorks. * Experience with the setup, preventive maintenance, and troubleshooting of 3D printers. * Strong attention to detail and ability to ensure the quality of printed parts. * Team-oriented with strong collaboration skills and the ability to work effectively with multiple stakeholders. * Strong organizational skills, self-motivation, and the ability to manage multiple priorities simultaneously. * Ability to work in a fast-paced environment and meet tight deadlines. * Strong interest in new technologies and innovation. * Excellent prioritization, organizational, and continuous improvement skills. * Ability to work effectively with cross-functional teams including Design, Engineering, and Production. * Knowledge of 3D printing materials and post-processing techniques. * Experience with SolidWorks and print preparation software. * Bilingualism in French and English. * Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves. ## Additional Information How We Work: We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors: * We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower. * We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking. * We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results. Who We Are: Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential. Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more. Visit us at and [www.instagram.com/MattelCareers](http://www.instagram.com/MattelCareers/). Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law. Videos to watch: [The Culture at Mattel](https://youtu.be/gWyvtJNrMno) [Corporate Philanthropy](https://corporate.mattel.com/philanthropy)", "summaryDescription" : "Model Maker 3D Printing Specialist at Mattel. Operate and maintain 3D printers. Prepare 3D models for printing", "postedDate" : "2026-06-15T12:34:17.000", "createdAt" : "2026-06-15T21:51:17.146", "lastUpdated" : "2026-06-16T06:42:06.505", "ingestTimestamp" : "2026-06-15T21:51:17.146", "mongoId" : "6a30531ff292fd229cf112d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "3D printing technologies", "Additive manufacturing" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 635.20807, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f40f292fd229cee657f", "title" : "Model Maker 3D Printing Specialist", "company" : "Mattel", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Model Maker 3D Printing Specialist in Montreal, Canada, adjusted for industry and company size." }, "location" : "Montréal, QUEBEC, Canada", "locations" : [ "Montréal", "QUEBEC", "Canada" ], "timestamp" : "2026-06-16T07:07:41.278", "fingerprint" : "2c76d3a65f0a097e84dabedf5cf84c8e4222626cfd810e66b55ed3c2735d6068", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MattelInc/744000132190849-model-maker-3d-printing-specialist-", "externalId" : "744000132190849", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montréal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montréal, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "coreResponsibilities" : "Operate and maintain 3D printers, Prepare 3D models for printing, Perform post-processing on printed parts, Troubleshoot printing issues, Maintain printer calibration and quality, Manage material inventory, Collaborate with design teams, Ensure safety protocols are followed", "teamCollaboration" : "Design teams", "domainKnowledge" : "3D printing technologies; Additive manufacturing", "domainList" : [ "3d-printing-technologies", "additive-manufacturing" ], "domainSpecificKnowledge" : [ "3D printing technologies", "Additive manufacturing" ], "problemSolvingSkills" : "Troubleshooting printing issues", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "CREATIVITY IS OUR SUPERPOWER. It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers. The Team : The Prototyping Workshop supports the various departments of Mattel Building Sets in product development activities, as well as in the creation of mock-ups and models used to promote different toy lines. The Opportunity: The Model Maker 3D Printing Specialist plays a key role within the Product Development team. This position is responsible for the day-to-day operations of the 3D printing department, which is at the heart of prototyping, concept validation, and new product development activities. Using files provided by the Design and Engineering teams, the incumbent is responsible for preparing, printing, post-processing, and performing quality inspections on printed parts. The Technician also contributes to the optimal performance of the equipment by carrying out preventive maintenance and assisting with technical troubleshooting. ## Qualifications What We’re Looking For: * Proficiency with 3D printing technologies and print preparation software such as Grabcad et Preform. * Ability to read, modify, and optimize 3D design files, particularly in SolidWorks. * Experience with the setup, preventive maintenance, and troubleshooting of 3D printers. * Strong attention to detail and ability to ensure the quality of printed parts. * Team-oriented with strong collaboration skills and the ability to work effectively with multiple stakeholders. * Strong organizational skills, self-motivation, and the ability to manage multiple priorities simultaneously. * Ability to work in a fast-paced environment and meet tight deadlines. * Strong interest in new technologies and innovation. * Excellent prioritization, organizational, and continuous improvement skills. * Ability to work effectively with cross-functional teams including Design, Engineering, and Production. * Knowledge of 3D printing materials and post-processing techniques. * Experience with SolidWorks and print preparation software. * Bilingualism in French and English. * Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves. ## Additional Information How We Work: We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors: * We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower. * We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking. * We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results. Who We Are: Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential. Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more. Visit us at and [www.instagram.com/MattelCareers](http://www.instagram.com/MattelCareers/). Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law. Videos to watch: [The Culture at Mattel](https://youtu.be/gWyvtJNrMno) [Corporate Philanthropy](https://corporate.mattel.com/philanthropy)", "summaryDescription" : "Model Maker 3D Printing Specialist at Mattel. Operate and maintain 3D printers. Prepare 3D models for printing", "postedDate" : "2026-06-15T12:34:17.000", "createdAt" : "2026-06-15T21:32:33.509", "lastUpdated" : "2026-06-16T07:07:41.278", "ingestTimestamp" : "2026-06-15T21:32:33.509", "mongoId" : "6a304f40f292fd229cee657f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "3D printing technologies", "Additive manufacturing" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 635.20807, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a660b74d8ee00a062bb77", "title" : "Director, Analytics and Decision Science", "company" : "Audible, Inc.", "industry" : "Finance Accounting, Science, subsidiaries", "salary" : { "min" : 100000.0, "max" : 236900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, New Jersey, USA", "locations" : [ "Newark, New Jersey, USA" ], "timestamp" : "2026-06-15T03:08:33.431", "fingerprint" : "a7c3ae8b94b8a84b0c96a0a724805259d1556dc2c4b18884b4a7dcc9b396e6ae", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442437/apply", "externalId" : "0cca02c1-c81a-4c57-bad0-6f556b3742b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, Tableau, Microstrategy", "professionalSkills" : [ "Decision science", "Business intelligence", "Strategic analytics", "Consulting" ], "hardSkillsList" : [ "Causal inference", "Experimental design", "Data modeling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics, Decision Science, Data Products", "majorSkillsList" : [ "Analytics", "Decision Science", "Data Products" ], "coreResponsibilities" : "Drive discussion and decision, Explain insight-driven actions, Predict insight-driven actions, Scenarize insight-driven actions, Deliver technical solutions, Influence business functions, Guide business functions, Automate business functions, Increase business effectiveness, Increase business efficiency, Hold business accountable, Drive continuous improvement, Design measurement frameworks, Build measurement frameworks, Track initiative performance, Track business performance, Frame hypotheses, Frame potential decisions, Develop experimental designs, Leverage cross-functional knowledge, Design decision science initiatives, Lead decision science initiatives, Understand business economics, Identify pain points, Identify opportunities, Provide solutions, Develop in-depth knowledge, Maximize tool potential, Own accuracy of deliveries, Own relevance of deliveries, Own quality of deliveries, Own impact of deliveries, Communicate crisply, Develop compelling presentations, Develop compelling documents", "teamCollaboration" : "Cross-functional knowledge; Business partners; Tech audiences; Non-tech audiences", "projectManagementSkills" : [ "High-stake tasks", "Simultaneous projects" ], "domainKnowledge" : "Digital environment", "domainList" : [ "digital-environment" ], "domainSpecificKnowledge" : [ "Digital environment" ], "toolProficiency" : [ "Tableau", "Microstrategy" ], "communicationSkills" : "Oral communication; Written communication; Executive presentations; Manager presentations", "documentationSkills" : "Documents", "problemSolvingSkills" : "Strategic thinking; Insightful analysis", "outcomesObjectives" : "Influence business functions; Guide business functions; Automate business functions; Increase effectiveness; Increase efficiency; Hold accountable; Drive continuous improvement; Track initiative performance; Track business performance; Focus on results; Focus on execution", "qualificationsBasic" : "Analyzing data to drive decisions, 5+ years relevant experience, Degree in technology or mathematics, Developing data-driven products, Sharing business recommendations, Managing challenging assignments, Experience with Python, Experience with R, Experience with SQL, Experience with Tableau, Experience with Microstrategy", "qualificationsPreferred" : "Advanced degree, MBA, MS, PhD, Experience in large B2C companies, Experience working with C-level leaders", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As a leader and individual contributor of Audible’s Analytics and Decision Science group, you will drive discussion and decision with our business partners by explaining, predicting, scenarizing, prescribing insight-driven actions with/for both tech and non-tech audiences. You will deliver the right technical solution (analytics- or data-product) to influence, guide, and force-multiply (via automation) our business functions, increase their effectiveness and efficiency, and hold them accountable. You will help drive continuous improvement by designing and building measurement frameworks, and other communications conduits (presentations and documents) to track initiative and business performance, driving focus on results and execution. You will frame hypotheses and potential decisions into a testable structure and develop robust experimental designs. You will leverage deep cross-functional knowledge to be a trusted advisor across a wide range of issues. Alternate locations available: This position can also be located in Audible's Berlin or London hubs. ABOUT YOU You are able to work with minimal instruction and oversight, conduct multiple high-stake tasks and projects simultaneously, and own deliverables end-to-end with limited dependencies on the work of others. You have the ability to think strategically, develop insightful analysis, and frame decisions, and communicate findings concisely to senior leaders in your and other organizations. As a Director, Analytics and Decision Science, you will... - Design and lead hands-on decision science initiatives that support Audible strategy and programs. Use causal inference methods (experimentation and models) to understand the incremental impact of our activity on business performance - Learn and master the intricacies of our economics, understand pain points and opportunities, and provide solutions short-term and long-term - Develop an in-depth knowledge of all relevant data sources, business intelligence technologies, data science, and analytical tools available to maximize their potential. Ensure and own the accuracy, relevance, quality, and impact of your deliveries - Communicate crisply in both oral and written forms for different levels of audiences (Tech, non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications: - Experience in analyzing data to drive decisions - 5+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Decision Science, or Consulting in a digital environment or in a related field - Degree in technology, mathematics or a related field, speaks of a person who is comfortable in data-centric environments - Experience in developing data-driven products, and sharing business recommendation and their financial/customer impact with the stakeholders - Experience managing challenging assignments with aggressive schedules - Experience with programming languages (such as Python, R, etc.), SQL and visualization tools (Tableau, Microstrategy, etc.) Preferred Qualifications: - Advanced degree, Business (MBA), MS, PhD or equivalent experience - Previous experience in large B2C companies a plus - Experience working with C-level leaders 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, NJ, Newark - 175,100.00 - 236,900.00 USD annually", "summaryDescription" : "Director, Analytics and Decision Science at Audible, Inc.. Skills: Analytics, Decision Science, Data Products. Drive discussion and decision. Explain insight-driven actions", "postedDate" : "2026-06-13T08:15:57.478", "createdAt" : "2026-06-13T08:15:57.478", "lastUpdated" : "2026-06-15T03:08:33.431", "ingestTimestamp" : "2026-06-13T08:15:57.478", "mongoId" : "6a2a660b74d8ee00a062bb77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442437/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 236900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Causal inference", "Experimental design", "Data modeling", "Leadership", "Analytics", "Decision Science", "Data Products", "Decision science", "Business intelligence", "Strategic analytics", "Consulting", "High-stake tasks", "Simultaneous projects", "Digital environment", "Tableau", "Microstrategy" ], "skillCount" : 16, "jobCategory" : "sales", "dataQualityScore" : 1.0, "_score" : 613.1253, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca66474d8ee00a09bb1df", "title" : "Build and Integration Technician II", "company" : "Inversion", "salary" : { "min" : 32.0, "max" : 47.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Playa Vista, California, United States", "locations" : [ "Playa Vista", "California", "United States" ], "timestamp" : "2026-06-16T05:59:10.779", "fingerprint" : "fd7057437afdd87777c432b28a15e598f0d4a96f023f2e0ff14dfa7bb63c0181", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/inversionspace/jobs/4705321005", "externalId" : "4705321005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Playa Vista", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9760102,-118.4181654" } ], "locationText" : "Playa Vista, California, United States", "minimumEducation" : "High School", "experienceMinYears" : 2, "technicalSkills" : "Python, Java, C++, JavaScript, React, Angular, Vue, Node.js, SQL, NoSQL, AWS, Azure, GCP, Docker, Kubernetes, Git, CI/CD", "professionalSkills" : [ "System design", "Problem solving", "Troubleshooting" ], "hardSkillsList" : [ "Software development", "Data structures", "Algorithms" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" } ], "majorSkills" : "Software development, System design", "majorSkillsList" : [ "Software development", "System design" ], "coreResponsibilities" : "Develop and maintain software, Design scalable systems, Write clean code, Test and debug applications, Collaborate with cross-functional teams, Participate in code reviews, Troubleshoot production issues, Document technical designs", "teamCollaboration" : "Cross-functional teams; Code reviews", "projectManagementSkills" : [ "Agile", "Scrum" ], "toolProficiency" : [ "Git", "JIRA", "Docker", "Kubernetes" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem solving; Troubleshooting", "qualificationsBasic" : "2+ years experience", "qualificationsPreferred" : "Associate's degree preferred, Bachelor's degree preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Turning Space into a Transportation Layer for Earth Who We Are: Inversion builds advanced reentry systems to deliver next-generation capabilities from space. Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach. Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds. Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U. S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics. What You'll Do As a Build & Integration Technician at Inversion, you will play a critical role in the assembly and manufacture of flight vehicles, test articles, and ground support equipment that are critical to our next-generation reentry vehicles. You will have an opportunity to work on and develop skills across all aspects of Inversion. Daily responsibilities could include fluid component testing, pressure testing, metal fabrication, electrical installation and troubleshooting, hydraulic diagnostics, fluid system fabrication, lifting and rigging, welding, machine operation, and more. If you’re known to be a generalist who can make or build anything, this is the role for you. Required Qualifications High school diploma or GED. 2+ years of experience in aerospace, military, or automotive testing, fabrication, or a related field. Professional experience in debugging and conducting basic electrical tests. Track record of attention to detail, good craftsmanship, and taking pride in your work. Track record of safe work habits. Must be able to lift 50 lbs. unassisted. Must be able to stoop, bend, crawl, and maneuver in tight spaces. Ability to work non-standard shifts, overtime, and weekends as required. Position may require extended work hours and weekend work. This position is on-site at Inversion HQ in Playa Vista, CA. Desired Qualifications Experience using work orders, inventory requests, schematics, and drawings. The ability to provide valuable critiques of work orders/workflow to make continuous improvement in the company. Experience working with and learning new data acquisition software products. Demonstrated experience in working in a fast-paced and constantly adapting environment. Capable of being self-sufficient with little guidance. Prior experience working in startups and small independent teams. Experience working with parachute design fundamentals, including working with relevant design tooling and CAD (e.g., NX, Creo, Solidworks, etc.). Our office headquarters is located in Playa Vista, CA. This position requires in office presence. The California annual base salary for this role is currently $32-47 an hour. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity. ITAR Compliance: To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. Learn more about the ITAR here. Equal Employment Opportunity: Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability. Inversion collects and processes personal data in accordance with applicable data protection laws. If you are a US Job Applicant see the CCPA Privacy Policy Notice for further details.", "summaryDescription" : "Build and Integration Technician II at Inversion. Skills: Software development, System design. Develop and maintain software. Design scalable systems", "postedDate" : "2026-06-14T20:09:59.442", "createdAt" : "2026-06-14T20:09:59.442", "lastUpdated" : "2026-06-16T05:59:10.779", "ingestTimestamp" : "2026-06-14T20:09:59.442", "mongoId" : "6a2ca66474d8ee00a09bb1df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 66560, "salaryAnnualMax" : 97760, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Software development", "Data structures", "Algorithms", "System design", "Problem solving", "Troubleshooting", "Agile", "Scrum", "Git", "JIRA", "Docker", "Kubernetes" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 606.07495, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306261f292fd229cf9a0f3", "title" : "Pizza Maker", "company" : "Eataly North America", "industry" : "Food And Beverages", "salary" : { "min" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "King of Prussia, PA, United States", "locations" : [ "King of Prussia", "PA", "United States" ], "timestamp" : "2026-06-16T07:56:39.503", "fingerprint" : "d5b48dcc355dceb36d21f40459a1e637ea367f9c55f3529e54b406c78b923e00", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Eataly/744000131976507-pizza-maker-eataly-king-of-prussia", "externalId" : "744000131976507", "industryFunction" : { }, "structuredLocations" : [ { "city" : "King of Prussia", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0947625,-75.3851334" } ], "locationText" : "King of Prussia, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "coreResponsibilities" : "Prepare pizzas according to recipes, Comply with portion sizes, Comply with quality standards, Comply with department rules, Comply with policies, Comply with procedures, Maintain clean food production area, Maintain sanitary food production area, Master all shifts in pizza production, Assist Sales Associates, Engage with guests, Perform other duties", "teamCollaboration" : "Engage with guests", "domainKnowledge" : "Roman-style pizza alla pala", "domainList" : [ "roman-style-pizza-alla-pala" ], "domainSpecificKnowledge" : [ "Roman-style pizza alla pala" ], "continuousLearning" : "Classes on products; Classes on Italian cuisine", "specialRequirements" : "Ability to work with wood burning oven, Ability to work with electric pizza oven, Ability to work with commercial spiral mixer, Ability to stand for 8 hours, Ability to walk for 8 hours, Ability to bend for 8 hours, Ability to squat for 8 hours", "qualificationsBasic" : "1+ year experience back of house production, Ability to lift up to 50 pounds, Ability to exert mobility for 8 hours", "qualificationsPreferred" : "Experience with wood burning oven, Experience with electric pizza oven, Experience with commercial spiral mixer", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Eataly is the world’s largest artisanal Italian food and beverage marketplace! Eataly is not a chain; each Eataly is different, with its own character and own theme – but all with the same aim... for our guests to: * EAT authentic Italian food at our restaurants, cafés and to-go counters * SHOP a selection of high-quality Italian, local and homemade products * LEARN through our classes and our team’s product knowledge A Pizza Maker is responsible for producing roman-style pizza alla pala in accordance with our authentic Italian recipes. Reports to the Bakery Manager. * Prepares pizzas according to specific recipes * Complies with all portion sizes, quality standards, department rules, policies and procedures * Maintains a clean and sanitary food production area according to Department of Health standards * Works towards mastering all shifts in pizza production * Assists Sales Associates if needed and engages with guests interested in learning about pizza production * Performs other duties as required or assigned Hourly Rate: $18.00 ## Qualifications * 1+ year of experience in a back of house production position * Good work ethic, communication and time management skills Job Requirements * Availability to work onsite with a flexible, open schedule often including evenings and weekends preferred * Ability to lift up to 50 pounds * Ability to exert well-paced mobility for at least 8 hours, including standing, walking, bending and squatting * Ability to work with a wood burning oven, electric pizza convection oven and commercial spiral mixer ## Additional Information Benefits and Perks * Medical, Dental, Vision Insurance * Paid Time Off * Paid Parental Leave * 401K with match or RRSP * Bonus program * Free family meal daily * Discounts at Eataly * Classes on products and Italian cuisine * Referral bonus program * and more!", "summaryDescription" : "Pizza Maker at Eataly North America. Prepare pizzas according to recipes. Comply with portion sizes", "postedDate" : "2026-06-12T19:43:35.000", "createdAt" : "2026-06-15T23:49:37.001", "lastUpdated" : "2026-06-16T07:56:39.503", "ingestTimestamp" : "2026-06-15T23:49:37.001", "mongoId" : "6a306261f292fd229cf9a0f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Roman-style pizza alla pala" ], "skillCount" : 1, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 598.7761, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2ca0b974d8ee00a09a313b", "title" : "Manager, Bank Relationships", "company" : "Checkout.com", "industry" : "All cost centres", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager, Bank Relationships in FinTech in London, UK, adjusted for seniority and company size." }, "location" : "London", "locations" : [ "London" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-15T09:31:41.479", "fingerprint" : "fe8532eb06c8e1d3a1374b90313b2763d494b13d7c213824397bf794f2285a89", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/checkout.com/4294a779-69e4-4da5-93b5-a7f979d25d4c/application", "externalId" : "4294a779-69e4-4da5-93b5-a7f979d25d4c", "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" : "Manager", "technicalSkills" : "Python, R, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Bank relationship management", "Treasury management", "Onboarding processes", "Due diligence", "Payment processing", "Compliance topics" ], "hardSkillsList" : [ "Cash management", "Treasury services", "KYC", "EDD", "AML" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Cash management", "level" : "intermediate" }, { "name" : "Treasury services", "level" : "intermediate" }, { "name" : "KYC", "level" : "intermediate" }, { "name" : "EDD", "level" : "intermediate" }, { "name" : "AML", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Bank relationships, Treasury management, Onboarding, Compliance", "majorSkillsList" : [ "Bank relationships", "Treasury management", "Onboarding", "Compliance" ], "coreResponsibilities" : "Own implementation projects for Europe and UK, Coordinate global implementation managers, Establish and manage relationships with bank contacts, Coordinate Due Diligence questionnaires, Coordinate KYC and Onboarding, Provide assistance on banking infrastructure, Monitor and update online bank accounts, Manage queries related to payments processing, Manage queries related to compliance, Coordinate external bank meetings, Act as primary point of cover, Manage escalations", "teamCollaboration" : "Partner banks; Internal stakeholders; Global implementation managers", "projectManagementSkills" : [ "Implementation projects" ], "domainKnowledge" : "Cash management; Treasury services; Bank account opening; Onboarding processes; KYC; EDD; AML; Payment processing; Compliance", "domainList" : [ "cash-management", "treasury-services", "bank-account-opening", "onboarding-processes", "kyc", "edd", "aml", "payment-processing", "compliance" ], "domainSpecificKnowledge" : [ "Cash management", "Treasury services", "Bank account opening", "Onboarding processes", "KYC", "EDD", "AML", "Payment processing", "Compliance" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Verbal communication; Written communication", "qualificationsBasic" : "Experience in cash and treasury management services, Good understanding of bank accounts opening and on-boarding processes, KYC and EDD approvals", "qualificationsPreferred" : "CFA charterholder preferred, FRM charterholder preferred, Series 7/63/65 preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is seeking a motivated Relationship Manager to lead our bank relationships across Europe and the UK. Reporting to the Global Head of Bank Relationships you will be working with Checkout’s key bank partners and will be the main point of contact for external and internal queries. About You: - Ability to build strong professional relationships - Excellent verbal and communication skills. - Strong business orientation and ability to manage and prioritise high workload in a fast-paced environment. - “Can do” attitude with a positive mind set - Experience in cash and treasury management services - Good understanding of bank accounts opening and on-boarding processes, including KYC and EDD approvals. What you will be doing: - Owning the implementation projects for Europe and the UK, and be the global coordinator for the implementation managers across all regions - Establish and manage relationships with existing contacts at partner banks and internal stakeholders; - Coordinating the execution of Due Diligence questionnaires, KYC and Onboarding requirements; - Providing assistance on banking infrastructure requirements in new countries / verticals; - Monitoring and updating online bank accounts accesses; - Efficiently managing queries from internal and external partners, related to payments processing and compliance topics. - Coordination of external bank meetings. - Act as primary point of cover when the Global Head of Bank Relationships is out of office, coordinating all queries, meetings and managing escalations Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/", "summaryDescription" : "Manager, Bank Relationships at Checkout.com. Skills: Bank relationships, Treasury management, Onboarding, Compliance. Own implementation projects for Europe and UK. Coordinate global implementation managers", "createdAt" : "2026-06-14T09:11:34.296", "lastUpdated" : "2026-06-15T09:31:41.479", "ingestTimestamp" : "2026-06-14T09:11:34.296", "mongoId" : "6a2ca0b974d8ee00a09a313b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Cash management", "Treasury services", "KYC", "EDD", "AML", "Leadership", "Bank relationships", "Treasury management", "Onboarding", "Compliance", "Bank relationship management", "Onboarding processes", "Due diligence", "Payment processing", "Compliance topics", "Implementation projects", "Bank account opening", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 32, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 597.45593, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c712a74d8ee00a092d93d", "title" : "Pizza Maker", "company" : "Eataly North America", "industry" : "Food And Beverages", "salary" : { "min" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "King of Prussia, PA, United States", "locations" : [ "King of Prussia", "PA", "United States" ], "timestamp" : "2026-06-15T11:32:08.096", "fingerprint" : "8d23be18c72820f44797c5a76175e79948462bc744b2b071bb6c7866088fbe9e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Eataly/744000131976507-pizza-maker-eataly-king-of-prussia", "externalId" : "744000131976507", "industryFunction" : { }, "structuredLocations" : [ { "city" : "King of Prussia", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0947625,-75.3851334" } ], "locationText" : "King of Prussia, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "hardSkillsList" : [ "Pizza production" ], "hardSkills" : [ { "name" : "Pizza production", "level" : "intermediate" } ], "majorSkills" : "Roman-style pizza, Pizza alla pala", "majorSkillsList" : [ "Roman-style pizza", "Pizza alla pala" ], "coreResponsibilities" : "Prepare pizzas, Comply with portion sizes, Comply with quality standards, Comply with department rules, Comply with policies, Comply with procedures, Maintain clean production area, Maintain sanitary production area, Master pizza production shifts, Assist Sales Associates, Engage with guests, Perform other duties", "teamCollaboration" : "Assist Sales Associates", "domainKnowledge" : "Artisanal Italian food; Italian recipes", "domainList" : [ "artisanal-italian-food", "italian-recipes" ], "domainSpecificKnowledge" : [ "Artisanal Italian food", "Italian recipes" ], "toolProficiency" : [ "Wood burning oven", "Electric pizza oven", "Spiral mixer" ], "continuousLearning" : "Classes on products; Classes on Italian cuisine", "specialRequirements" : "Ability to exert mobility 8 hours, Standing, Walking, Bending, Squatting", "qualificationsBasic" : "1+ year experience, Good work ethic, Communication skills, Time management skills, Ability to lift 50 pounds, Ability to work with wood burning oven, Ability to work with electric pizza oven, Ability to work with spiral mixer", "qualificationsPreferred" : "Flexible schedule including evenings and weekends", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Eataly is the world’s largest artisanal Italian food and beverage marketplace! Eataly is not a chain; each Eataly is different, with its own character and own theme – but all with the same aim... for our guests to: * EAT authentic Italian food at our restaurants, cafés and to-go counters * SHOP a selection of high-quality Italian, local and homemade products * LEARN through our classes and our team’s product knowledge A Pizza Maker is responsible for producing roman-style pizza alla pala in accordance with our authentic Italian recipes. Reports to the Bakery Manager. * Prepares pizzas according to specific recipes * Complies with all portion sizes, quality standards, department rules, policies and procedures * Maintains a clean and sanitary food production area according to Department of Health standards * Works towards mastering all shifts in pizza production * Assists Sales Associates if needed and engages with guests interested in learning about pizza production * Performs other duties as required or assigned Hourly Rate: $18.00 ## Qualifications * 1+ year of experience in a back of house production position * Good work ethic, communication and time management skills Job Requirements * Availability to work onsite with a flexible, open schedule often including evenings and weekends preferred * Ability to lift up to 50 pounds * Ability to exert well-paced mobility for at least 8 hours, including standing, walking, bending and squatting * Ability to work with a wood burning oven, electric pizza convection oven and commercial spiral mixer ## Additional Information Benefits and Perks * Medical, Dental, Vision Insurance * Paid Time Off * Paid Parental Leave * 401K with match or RRSP * Bonus program * Free family meal daily * Discounts at Eataly * Classes on products and Italian cuisine * Referral bonus program * and more!", "summaryDescription" : "Pizza Maker at Eataly North America. Skills: Roman-style pizza, Pizza alla pala. Prepare pizzas. Comply with portion sizes", "postedDate" : "2026-06-12T19:43:35.000", "createdAt" : "2026-06-14T03:29:42.258", "lastUpdated" : "2026-06-15T11:32:08.096", "ingestTimestamp" : "2026-06-14T03:29:42.258", "mongoId" : "6a2c712a74d8ee00a092d93d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Pizza production", "Roman-style pizza", "Pizza alla pala", "Artisanal Italian food", "Italian recipes", "Wood burning oven", "Electric pizza oven", "Spiral mixer" ], "skillCount" : 8, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 595.679, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c7aff74d8ee00a0947d23", "title" : "Senior Account Manager", "company" : "RTB House", "industry" : "Technology", "salary" : { "min" : 600000.0, "max" : 850000.0, "currency" : "SEK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Account Manager in Stockholm, Sweden, adjusted for the technology industry and senior experience level." }, "location" : "Sweden", "locations" : [ "Sweden" ], "timestamp" : "2026-06-15T09:17:08.984", "fingerprint" : "5d3942e02e8bff8486a4eddbb278735154044ed5382e3eeaaaf01848fdc319a3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/rtbhouse/jobs/4875236101", "externalId" : "4875236101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Stockholm", "country" : "Sweden", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.3251172,18.0710935" }, { "country" : "Sweden", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Stockholm, Sweden; Sweden", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Deep Learning, AI algorithms, AdTech products", "professionalSkills" : [ "Performance analysis", "Strategy development", "Client communication", "Upselling opportunities", "Deal closure", "Revenue generation" ], "hardSkillsList" : [ "Performance analysis", "Retargeting strategies" ], "softSkillsList" : [ "Negotiation" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Retargeting strategies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" } ], "majorSkills" : "Account Management, Sales, Revenue generation", "majorSkillsList" : [ "Account Management", "Sales", "Revenue generation" ], "coreResponsibilities" : "Develop relationships with decision-makers, Negotiate business terms, Up- and cross-sell campaigns, Provide transparency over campaign performance, Create retargeting strategies, Develop professional technical knowledge, Work closely with technical teams, Ensure superior performance of campaigns", "teamCollaboration" : "Collaborating closely with Sales; Collaborating with Technical Account Managers; Work closely with technical teams; Work closely with sales teams", "domainKnowledge" : "Online advertising industry; Performance marketing; Digital marketing", "domainList" : [ "online-advertising-industry", "performance-marketing", "digital-marketing" ], "domainSpecificKnowledge" : [ "Online advertising industry", "Performance marketing", "Digital marketing" ], "communicationSkills" : "Presentation", "continuousLearning" : "Personalized development plan; Annual training budget; Subsidized language courses", "problemSolvingSkills" : "Analytical; Problem-solving", "outcomesObjectives" : "Maximize conversion; Drive new customer acquisition; Create engagement; Fuel long-term demand; Deliver measurable success", "qualificationsBasic" : "4+ years managing online advertising campaigns, Client-facing experience required, Full proficiency in English (C1 or above)", "qualificationsPreferred" : "Swedish is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Location: Sweden We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Our team in Sweden consists of over ten people and plays a key role in our company’s growth across the Nordics. We combine strong local market expertise with the global vision of RTB House. While we follow a flexible hybrid working model, allowing team members to work remotely most of the time, we also value regular in-person collaboration. Our office is located in the heart of Stockholm, just around T-Centralen, where the team meets regularly to connect and exchange ideas. At RTB House, the Account Management team is central to building lasting client partnerships and driving growth across the Nordic region. Collaborating closely with Sales and Technical Account Managers, they oversee all post-sale activities to ensure seamless campaign execution across e-commerce websites and mobile apps. Their work combines data-driven performance analysis, proactive strategy development, and regular client communication to achieve marketing goals, identify upselling opportunities, and deliver measurable success - all while fostering a collaborative, solution-oriented team environment. Why RTB House? If you are passionate about digital advertising, thrive in a dynamic and fast-paced environment, and are eager to make a significant impact, we want to hear from you! Join RTB House and be part of our success story in the Nordic market. You Will: Develop relationships and negotiate business terms with decision-makers of the largest e-commerce companies in the Nordic region; Up- and cross-sell campaigns and products to ensure the growth of the accounts; Provide transparency over campaign performance for the client representatives to ensure premium customer service; Create retargeting strategies for different verticals; Develop professional technical knowledge related to the solutions offered by RTB House and overall developments in the digital marketing domain; Work closely with technical and sales teams within the company to ensure the superior performance of the campaigns. Desired Experience: Understanding of the online advertising industry, especially performance marketing; 4+ years of experience managing online advertising campaigns in a client-facing role; Self-motivated, positive individual with an achiever attitude; Strong analytical and problem-solving skills; Ability to absorb information quickly and deliver within tight time frames; Excellent communication and presentation skills; Proven ability to negotiate effectively and identify up- and cross-selling opportunities; Full proficiency in English (C1 or above), Swedish is a plus. We Offer: We prioritize flexible working arrangements in a hybrid set-up where you decide whether to regularly connect with colleagues in our downtown Stockholm office near T-Centralen, work from the comfort of your home, or even work abroad from anywhere in the world for up to two months each year. We offer a top-of-the-market compensation package, including an above-average base salary and an attractive bonus scheme. Our pension plan and accident insurance provide security for your future and overall well-being. Take advantage of 30 vacation days. A structured and interactive onboarding process ensures a smooth start, with a dedicated team member to guide and support you throughout your first weeks. Enjoy our Friskvårdsbidrag (Wellness Allowance), a tax-free benefit you can use for gym memberships, sports, and other wellness activities to support your health and well-being. We’re committed to your professional growth, offering a personalized development plan supported by an annual training budget and subsidized language courses. Apply now! You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it", "summaryDescription" : "Senior Account Manager at RTB House. Skills: Account Management, Sales, Revenue generation. Develop relationships with decision-makers. Negotiate business terms", "postedDate" : "2026-06-14T03:57:20.079", "createdAt" : "2026-06-14T03:57:20.079", "lastUpdated" : "2026-06-15T09:17:08.984", "ingestTimestamp" : "2026-06-14T03:57:20.079", "mongoId" : "6a2c7aff74d8ee00a0947d23", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Retargeting strategies", "Negotiation", "Account Management", "Sales", "Revenue generation", "Strategy development", "Client communication", "Upselling opportunities", "Deal closure", "Online advertising industry", "Performance marketing", "Digital marketing" ], "skillCount" : 13, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 590.44916, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30518cf292fd229cf02163", "title" : "Senior Site Reliability Engineer (Remote Build)", "company" : "Remote", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Site Reliability Engineer in the Technology industry in EMEA, adjusted for remote work and senior experience level." }, "location" : "Remote-EMEA", "locations" : [ "Remote-EMEA" ], "timestamp" : "2026-06-16T08:21:14.882", "fingerprint" : "efeb1b0555e47c634f1f6377295c4eed7579d195a50ad0df121fd1c0cc1bafe5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/remotecom/jobs/7763713003", "externalId" : "7763713003", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "eu", "workMode" : "remote" }, { "continent" : "af", "workMode" : "remote" }, { "continent" : "as", "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! The Position Remote Build is Remote's agentic shift: as AI agents proliferate across HR and Finance stacks, they need to route through the employment infrastructure layer - labour law across 100+ countries, payroll, entity structures, the compliance rail. The infrastructure powering these integrations must be rock-solid, secure, and built for scale. As Senior Site Reliability Engineer for Remote Build, you'll own the operational excellence and infrastructure strategy that makes Build's platform reliable, performant, and safe for customers. You'll report to the Engineering Manager and work closely with the Remote Build leadership group, product managers, engineers, and customer success to ensure every engagement scales reliably from day one. What you’ll do Infrastructure as code at scale. Design, implement, and maintain infrastructure-as-code patterns using Terraform and Kubernetes that support both standard connectors and custom builds. Make it easy for engineers to deploy and operate with confidence. Observability and incident response. Build and maintain comprehensive monitoring, logging, and alerting systems. Lead incident response efforts, conduct post-mortems, and drive continuous improvement in system reliability. Security and compliance in motion. Work with our Security team to embed security into every layer of Build infrastructure. Ensure we meet compliance requirements across 100+ jurisdictions without creating friction for developers or customers. Performance and cost optimisation. Continuously optimize system performance, resource utilization, and cloud costs. Make recommendations that improve both reliability and unit economics. Automation and operational leverage. Identify manual operational toil and systematically eliminate it. Build tools and processes that let teams operate efficiently without scaling headcount. Platform reliability and developer experience. Partner with platform teams to ensure APIs, MCP, and CLI are resilient and observable. Give infrastructure feedback that shapes how the platform evolves. What you’ll bring Senior-level SRE experience: demonstrated experience in a Site Reliability Engineering, DevOps Engineering, or SysOps role. You have stood up and operated production systems at scale. Kubernetes and AWS: deep, hands-on experience running Kubernetes in production. Solid AWS fundamentals across compute, networking, storage, and managed services. Infrastructure-as-code: Proficiency with Terraform or similar IaC tools. You write code to define infrastructure; you don't click buttons in the console. CI/CD and deployment automation: real experience setting up and operating GitLab, GitHub Actions, Jenkins, or similar. You understand deployment strategies, rollback mechanisms, and safety nets. Scripting and systems knowledge: strong bash scripting. Comfortable debugging system-level issues, reading logs, and understanding Linux kernel basics. Great communication: you explain complex infrastructure decisions clearly to both engineers and non-technical stakeholders. You write clear runbooks and documentation. Nice to have: Experience with 1+ backend programming language (Elixir, Python, Go, Java, Node.js, etc.). Experience in consultancy settings. Container registry and artifact management (ECR, Docker Hub, etc.). Observability stack depth (Datadog, Prometheus, ELK, Grafana, or similar). Experience working with or scaling multi-tenant platforms. Practicals You'll report to: Engineering Manager Team: Engineering Location: Anywhere in the World Start date: As soon as possible Application process Interview with recruiter Interview with hiring manager Infrastructure Deep Dive Executive interview Bar raiser interview Offer + Background Check (Veremark & Remote) #LI-DNI Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $54,000—$150,000 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. Please note we accept applications on an ongoing basis.", "summaryDescription" : "Senior Site Reliability Engineer (Remote Build) at Remote", "postedDate" : "2026-06-15T23:19:44.792", "createdAt" : "2026-06-15T23:19:44.792", "lastUpdated" : "2026-06-16T08:21:14.882", "ingestTimestamp" : "2026-06-15T23:19:44.792", "mongoId" : "6a30518cf292fd229cf02163", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 586.57745, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306030f292fd229cf87d21", "title" : "Senior Site Reliability Engineer (Remote Build)", "company" : "Remote", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Site Reliability Engineer in the United States, adjusted for seniority and the technology industry." }, "location" : "Remote-Global", "locations" : [ "Remote-Global" ], "timestamp" : "2026-06-16T11:40:29.978", "fingerprint" : "06b4942d359882bef973e72cb3bfc913227852f12d1616246a9d2eaa59514731", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/remotereferralboardinternaluseonly/jobs/7773658003", "externalId" : "7773658003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Terraform, Kubernetes, AWS, EC2, S3, Lambda, GitLab, GitHub Actions, Jenkins, Bash, Elixir, Python, Go, Java, Node.js, Docker, Prometheus, ELK, Grafana, Datadog", "professionalSkills" : [ "Infrastructure as code", "Incident response", "Cost optimisation", "Operational leverage", "Developer experience" ], "hardSkillsList" : [ "System design", "Monitoring systems", "Logging systems", "Alerting systems", "Deployment automation", "System-level debugging" ], "softSkillsList" : [ "Curious", "Ambitious" ], "hardSkills" : [ { "name" : "System design", "level" : "intermediate" }, { "name" : "Monitoring systems", "level" : "intermediate" }, { "name" : "Logging systems", "level" : "intermediate" }, { "name" : "Alerting systems", "level" : "intermediate" }, { "name" : "Deployment automation", "level" : "intermediate" }, { "name" : "System-level debugging", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Ambitious" } ], "majorSkills" : "Site Reliability Engineering, DevOps Engineering, Kubernetes, AWS, Terraform", "majorSkillsList" : [ "Site Reliability Engineering", "DevOps Engineering", "Kubernetes", "AWS", "Terraform" ], "coreResponsibilities" : "Design infrastructure-as-code patterns, Implement infrastructure-as-code patterns, Maintain infrastructure-as-code patterns, Build monitoring systems, Maintain monitoring systems, Build logging systems, Maintain logging systems, Build alerting systems, Maintain alerting systems, Lead incident response efforts, Conduct post-mortems, Drive continuous improvement, Embed security into infrastructure, Ensure compliance requirements, Optimize system performance, Optimize resource utilization, Optimize cloud costs, Identify manual operational toil, Eliminate manual operational toil, Build tools for efficiency, Build processes for efficiency, Ensure APIs are resilient, Ensure APIs are observable, Ensure MCP are resilient, Ensure MCP are observable, Ensure CLI are resilient, Ensure CLI are observable, Give infrastructure feedback", "teamCollaboration" : "Work with leadership group; Work with product managers; Work with engineers; Work with customer success; Partner with platform teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Global employment; Labour law; Payroll; Entity structures; Compliance rail; Multi-tenant platforms", "domainList" : [ "global-employment", "labour-law", "payroll", "entity-structures", "compliance-rail", "multi-tenant-platforms" ], "domainSpecificKnowledge" : [ "Global employment", "Labour law", "Payroll", "Entity structures", "Compliance rail", "Multi-tenant platforms" ], "toolProficiency" : [ "Terraform", "Kubernetes", "AWS", "GitLab", "GitHub Actions", "Jenkins", "Datadog", "Prometheus", "ELK", "Grafana", "Docker", "ECR", "Docker Hub" ], "communicationSkills" : "Explain complex decisions; Write runbooks; Write documentation", "documentationSkills" : "Runbooks; Documentation", "continuousLearning" : "Learning budget", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Debugging system-level issues", "outcomesObjectives" : "Scale reliably from day one", "qualificationsBasic" : "Senior-level SRE experience, Kubernetes in production, Solid AWS fundamentals, Proficiency with Terraform, CI/CD experience, Bash scripting, Linux kernel basics", "qualificationsPreferred" : "1+ backend programming language, Experience in consultancy, Container registry management, Observability stack depth, Scaling multi-tenant platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! The Position Remote Build is Remote's agentic shift: as AI agents proliferate across HR and Finance stacks, they need to route through the employment infrastructure layer - labour law across 100+ countries, payroll, entity structures, the compliance rail. The infrastructure powering these integrations must be rock-solid, secure, and built for scale. As Senior Site Reliability Engineer for Remote Build, you'll own the operational excellence and infrastructure strategy that makes Build's platform reliable, performant, and safe for customers. You'll report to the Engineering Manager and work closely with the Remote Build leadership group, product managers, engineers, and customer success to ensure every engagement scales reliably from day one. What you’ll do Infrastructure as code at scale. Design, implement, and maintain infrastructure-as-code patterns using Terraform and Kubernetes that support both standard connectors and custom builds. Make it easy for engineers to deploy and operate with confidence. Observability and incident response. Build and maintain comprehensive monitoring, logging, and alerting systems. Lead incident response efforts, conduct post-mortems, and drive continuous improvement in system reliability. Security and compliance in motion. Work with our Security team to embed security into every layer of Build infrastructure. Ensure we meet compliance requirements across 100+ jurisdictions without creating friction for developers or customers. Performance and cost optimisation. Continuously optimize system performance, resource utilization, and cloud costs. Make recommendations that improve both reliability and unit economics. Automation and operational leverage. Identify manual operational toil and systematically eliminate it. Build tools and processes that let teams operate efficiently without scaling headcount. Platform reliability and developer experience. Partner with platform teams to ensure APIs, MCP, and CLI are resilient and observable. Give infrastructure feedback that shapes how the platform evolves. What you’ll bring Senior-level SRE experience: demonstrated experience in a Site Reliability Engineering, DevOps Engineering, or SysOps role. You have stood up and operated production systems at scale. Kubernetes and AWS: deep, hands-on experience running Kubernetes in production. Solid AWS fundamentals across compute, networking, storage, and managed services. Infrastructure-as-code: Proficiency with Terraform or similar IaC tools. You write code to define infrastructure; you don't click buttons in the console. CI/CD and deployment automation: real experience setting up and operating GitLab, GitHub Actions, Jenkins, or similar. You understand deployment strategies, rollback mechanisms, and safety nets. Scripting and systems knowledge: strong bash scripting. Comfortable debugging system-level issues, reading logs, and understanding Linux kernel basics. Great communication: you explain complex infrastructure decisions clearly to both engineers and non-technical stakeholders. You write clear runbooks and documentation. Nice to have: Experience with 1+ backend programming language (Elixir, Python, Go, Java, Node.js, etc.). Experience in consultancy settings. Container registry and artifact management (ECR, Docker Hub, etc.). Observability stack depth (Datadog, Prometheus, ELK, Grafana, or similar). Experience working with or scaling multi-tenant platforms. Practicals You'll report to: Engineering Manager Team: Engineering Location: Anywhere in the World Start date: As soon as possible Application process Interview with recruiter Interview with hiring manager Infrastructure Deep Dive Executive interview Bar raiser interview Offer + Background Check (Veremark & Remote) #LI-DNI Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $54,000—$150,000 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. Please note we accept applications on an ongoing basis.", "summaryDescription" : "Senior Site Reliability Engineer (Remote Build) at Remote. Skills: Site Reliability Engineering, DevOps Engineering, Kubernetes, AWS, Terraform. Design infrastructure-as-code patterns. Implement infrastructure-as-code patterns", "postedDate" : "2026-06-15T23:26:16.947", "createdAt" : "2026-06-15T23:26:16.947", "lastUpdated" : "2026-06-16T11:40:29.978", "ingestTimestamp" : "2026-06-15T23:26:16.947", "mongoId" : "6a306030f292fd229cf87d21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "System design", "Monitoring systems", "Logging systems", "Alerting systems", "Deployment automation", "System-level debugging", "Curious", "Ambitious", "Site Reliability Engineering", "DevOps Engineering", "Kubernetes", "AWS", "Terraform", "Infrastructure as code", "Incident response", "Cost optimisation", "Operational leverage", "Developer experience", "Agile", "Global employment", "Labour law", "Payroll", "Entity structures", "Compliance rail", "Multi-tenant platforms", "GitLab", "GitHub Actions", "Jenkins", "Datadog", "Prometheus", "ELK", "Grafana", "Docker", "ECR", "Docker Hub" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 580.4956, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ba74d8ee00a09ad605", "title" : "Build Engineer", "company" : "Wizards of the Coast", "industry" : "Media", "salary" : { "min" : 124800.0, "max" : 162700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Renton, Washington, United States", "locations" : [ "Renton", "Washington", "United States" ], "timestamp" : "2026-06-15T10:01:39.253", "fingerprint" : "46399946f09933a7fc5cf0e6c89df7e57809acebff591fc1087225060ffd2a35", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4252695009", "externalId" : "4252695009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Renton", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.4799078,-122.2034496" } ], "locationText" : "Renton, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Unreal Engine, C++, C#, Python, Bash, AWS, Git", "professionalSkills" : [ "Build systems design", "Pipeline tooling", "Automation frameworks", "CI/CD development", "Perforce administration", "Infrastructure management", "Observability standards", "Maintainability standards" ], "hardSkillsList" : [ "Build engineering", "Compile pipelines", "Packaging pipelines", "Automation scripting", "Perforce branching", "Workspace automation", "SDK integration", "Infrastructure as code", "Pipelines as code", "GitOps" ], "hardSkills" : [ { "name" : "Build engineering", "level" : "intermediate" }, { "name" : "Compile pipelines", "level" : "intermediate" }, { "name" : "Packaging pipelines", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "Perforce branching", "level" : "intermediate" }, { "name" : "Workspace automation", "level" : "intermediate" }, { "name" : "SDK integration", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" }, { "name" : "Pipelines as code", "level" : "intermediate" }, { "name" : "GitOps", "level" : "intermediate" } ], "majorSkills" : "Unreal Engine, CI/CD, Build engineering, Automation", "majorSkillsList" : [ "Unreal Engine", "CI/CD", "Build engineering", "Automation" ], "coreResponsibilities" : "Design Unreal Engine build systems, Build pipeline tooling, Develop automation frameworks, Evolve Horde ecosystem, Customize engine and tooling, Manage plugin integration, Develop CI/CD pipelines, Maintain CI/CD pipelines, Support Perforce environments, Administer Perforce streams, Configure Perforce workspaces, Write Perforce trigger scripts, Investigate build failures, Resolve cook errors, Fix packaging issues, Define pipeline standards, Set observability standards, Set maintainability standards, Partner with studios, Mentor studio engineers, Adopt shared systems, Extend shared systems, Innovate build technologies, Innovate engine tooling, Innovate AI workflows", "teamCollaboration" : "Game development teams; Central Technology Build Engineering; Internal game studios; Studio engineers", "domainKnowledge" : "Unreal Engine; Game engine workflows; Multi-platform builds; Cloud-native architecture", "domainList" : [ "unreal-engine", "game-engine-workflows", "multi-platform-builds", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Unreal Engine", "Game engine workflows", "Multi-platform builds", "Cloud-native architecture" ], "toolProficiency" : [ "Unreal Engine", "UBT", "UAT", "Perforce", "Jenkins", "BuildGraph", "TeamCity", "GitHub Actions", "AWS" ], "innovationCreativity" : "Innovate with emerging build technologies; Innovate engine tooling; Innovate AI-assisted developer workflows", "problemSolvingSkills" : "Investigate and resolve build failures; Resolve cook errors; Fix packaging issues", "qualificationsBasic" : "Unreal Engine internals experience, Build scripts and automation experience, CI/CD pipelines experience, Perforce administration experience, Multi-platform build targets familiarity, AWS infrastructure management experience, Infrastructure as code experience, Pipelines as code experience, GitOps practices experience", "qualificationsPreferred" : "AI-assisted developer workflows", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering®, the rich storytelling of Dungeons & Dragons®, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. Do you have the passion and expertise to shape the tools and pipelines that power great games? We are seeking a Build Engineer to join our Central Technology Build Engineering team as we develop and curate an Unreal Engine ecosystem to share across our internal game studios. You will join a specialized team responsible for unblocking developers, ensuring build stability, and optimizing iteration workflows across multiple concurrent titles. This is a hands-on IC role where engineering excellence meets operational reliability. You’ll collaborate closely with game development teams to ensure a seamless experience for all Unreal-powered studios under our banner. In this role, you will design, build, and maintain the compile and packaging pipelines, automation frameworks, and engine tooling that keep our studios moving fast. What You’ll Do: Work with the team to design a ready-made suite of Unreal Engine build systems, pipeline tooling, and automation frameworks shared across studios Own and evolve our Unreal Engine Horde ecosystem — including engine and tooling customizations, and plugin management Develop, maintain, and improve CI/CD pipelines for compile, cook, package, and submission workflows across multiple platforms (PC, console, mobile) Support and administer studio-specific Perforce environments, including stream management, workspace configuration, and trigger scripts Investigate and resolve build failures, cook errors, and packaging issues in close partnership with game teams and engine programmers Define standards and best practices for performance, observability, and maintainability of build pipelines Act as a technical partner and mentor to studio engineers, helping teams adopt and extend shared systems effectively Innovate with emerging build technologies, engine tooling, and AI-assisted developer workflows What You’ll Bring: Deep, hands-on experience with Unreal Engine internals — including UBT, UAT, the cook and packaging pipeline, and plugin/module architecture Proven ability to write and maintain build scripts and automation in C++, C#, Python, or Bash in the context of game engine workflows Experience building and maintaining CI/CD pipelines for game projects (e.g., Jenkins, BuildGraph, TeamCity, GitHub Actions, or similar) Administration experience or expert knowledge with Perforce, including branching strategies and workspace automation Familiarity with multi-platform build targets (Windows, PlayStation, Xbox, Nintendo Switch, or mobile) and platform SDK integration Comfortable working with and managing AWS infrastructure Experience with infrastructure as code, pipelines as code, and gitops practices Strong ability to build trust and clarity in communication with technical and non-technical audiences Exposure to Agile/SCRUM methodologies • Bachelor’s degree in computer science or equivalent experience At Wizards, we believe in the magic of diversity—great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. #Wizards  The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $124,800—$162,700 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Build Engineer at Wizards of the Coast. Skills: Unreal Engine, CI/CD, Build engineering, Automation. Design Unreal Engine build systems. Build pipeline tooling", "postedDate" : "2026-06-14T05:03:32.962", "createdAt" : "2026-06-14T05:03:32.962", "lastUpdated" : "2026-06-15T10:01:39.253", "ingestTimestamp" : "2026-06-14T05:03:32.962", "mongoId" : "6a2ca3ba74d8ee00a09ad605", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 124800, "salaryAnnualMax" : 162700, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Build engineering", "Compile pipelines", "Packaging pipelines", "Automation scripting", "Perforce branching", "Workspace automation", "SDK integration", "Infrastructure as code", "Pipelines as code", "GitOps", "Unreal Engine", "CI/CD", "Automation", "Build systems design", "Pipeline tooling", "Automation frameworks", "CI/CD development", "Perforce administration", "Infrastructure management", "Observability standards", "Maintainability standards", "Game engine workflows", "Multi-platform builds", "Cloud-native architecture", "UBT", "UAT", "Perforce", "Jenkins", "BuildGraph", "TeamCity", "GitHub Actions", "AWS" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 578.9886, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "69e104402beec4dd3def253d", "title" : "Economist, Economic Decision Science", "company" : "Amazon EU SARL (UK Branch)", "industry" : "Economics, Economist, Retail", "salary" : { "min" : 200000.0, "max" : 350000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Economist roles in London, adjusted for executive seniority at a large e-commerce company." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T08:21:05.239", "fingerprint" : "e868971f29168669b861a6751b6dfba81c720404864c50909f9dcf3f75ca0a25", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387098/apply", "externalId" : "5cd4f969-786b-4337-b0b4-2d9dec2527a3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Econometrics, Machine learning", "professionalSkills" : [ "Business decision making" ], "hardSkillsList" : [ "Causal modeling", "Data science workflows" ], "hardSkills" : [ { "name" : "Causal modeling", "level" : "intermediate" }, { "name" : "Data science workflows", "level" : "intermediate" } ], "majorSkills" : "Econometrics, Machine learning, Experimentation", "majorSkillsList" : [ "Econometrics", "Machine learning", "Experimentation" ], "coreResponsibilities" : "Build innovative solutions, Develop econometric models, Develop experiments to measure customer and financial impact, Collaborate with other scientists, Deliver measurable progress and change, Influence business leaders based on empirical findings", "teamCollaboration" : "Interdisciplinary team", "domainKnowledge" : "Product assortment", "domainList" : [ "product-assortment" ], "domainSpecificKnowledge" : [ "Product assortment" ], "communicationSkills" : "Communicate results", "innovationCreativity" : "Innovative approach; Build pioneering solutions", "problemSolvingSkills" : "Solve problems", "outcomesObjectives" : "Impact Amazon's business position", "qualificationsBasic" : "PhD in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent, Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A testing, experiments, quasi-experiments, and data science workflows", "qualificationsPreferred" : "Experience communicating results to senior leadership, Experience in building financial and operational reports/data sets that inform business decision-making, Research track record", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for an Economist to work on exciting and challenging business problems related to Amazon Retail’s worldwide product assortment. You will build innovative solutions based on econometrics, machine learning, and experimentation. You will be part of a interdisciplinary team of economists, product managers, engineers, and scientists, and your work will influence finance and business decisions affecting Amazon’s vast product assortment globally. If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Key job responsibilities * Work on a challenging problem that has the potential to significantly impact Amazon’s business position * Develop econometric models and experiments to measure the customer and financial impact of Amazon’s product assortment * Collaborate with other scientists at Amazon to deliver measurable progress and change * Influence business leaders based on empirical findings Basic Qualifications: - PhD in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent - Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows Preferred Qualifications: - Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making - Strong research track record Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Economist, Economic Decision Science at Amazon EU SARL (UK Branch). Skills: Econometrics, Machine learning, Experimentation. Build innovative solutions. Develop econometric models", "postedDate" : "2026-06-13T12:46:33.910", "createdAt" : "2026-06-13T12:46:33.910", "lastUpdated" : "2026-06-15T08:21:05.239", "ingestTimestamp" : "2026-06-13T12:46:33.910", "mongoId" : "69e104402beec4dd3def253d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387098/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Causal modeling", "Data science workflows", "Econometrics", "Machine learning", "Experimentation", "Business decision making", "Product assortment" ], "skillCount" : 7, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 577.95667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cb06d74d8ee00a09d9ea6", "title" : "Senior Account Executive, Enterprise", "company" : "Hire Hangar", "industry" : "Clients", "salary" : { "min" : 4500.0, "max" : 5500.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "South Africa - Cape Town", "locations" : [ "South Africa - Cape Town", "Chile - Santiago", "South Africa - Johannesburg", "Argentina - Buenos Aires", "Brazil - Rio de Janeiro", "Brazil - São Paulo", "Mexico - Mexico City", "Panama - Panama City", "Peru - Lima", "Columbia - Bogotá", "Columbia - Medellín" ], "timestamp" : "2026-06-16T00:16:26.991", "fingerprint" : "49135f97cea3d8a90bbd7d41543e366d2cc50bde77b0e22766327c2c1ce70813", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hirehangar/3f78f333-de30-42b8-a9c2-98ca9e622d8b/application", "externalId" : "3f78f333-de30-42b8-a9c2-98ca9e622d8b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cape Town", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-33.9288301,18.4172197" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Cape Town, South Africa; United States", "employmentType" : "CONTRACT", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Sales engagement", "New business acquisition", "Strategic expansion" ], "hardSkillsList" : [ "Forecasting", "Reporting" ], "hardSkills" : [ { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Enterprise sales, Full-cycle sales", "majorSkillsList" : [ "Enterprise sales", "Full-cycle sales" ], "coreResponsibilities" : "Lead full-cycle sales engagements, Develop relationships with decision-makers, Drive revenue growth, Maintain accurate forecasting, Maintain accurate reporting, Collaborate with internal teams, Provide market feedback, Contribute to strategic planning, Contribute to process development", "teamCollaboration" : "Cross-functional stakeholders", "domainKnowledge" : "Complex market", "domainList" : [ "complex-market" ], "domainSpecificKnowledge" : [ "Complex market" ], "outcomesObjectives" : "Contract execution; Revenue growth", "qualificationsBasic" : "6+ years of experience in B2B sales, History of success managing long sales cycles, Familiarity with standard CRM tools, Familiarity with sales enablement tools, Willingness to work hours aligned with Eastern Time Zone", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. SENIOR ACCOUNT EXECUTIVE, ENTERPRISE Remote – Eastern Time Zone Preferred Competitive Compensation Based on Experience High-Growth Startup Environment ABOUT THE COMPANY This is a fast-growing tech company focused on delivering modern solutions to marketing team. With support from leading investors, they are scaling their operations and expanding their reach within a complex and evolving market. The team is made up of ambitious professionals committed to building something that lasts. ABOUT THE ROLE This team is looking for a seasoned Senior Account Executive to support the growth of their enterprise customer base. This role is suited for someone who is confident managing complex sales cycles, comfortable working independently, and experienced in driving deals from initial engagement through close. You’ll be part of a small, agile team working closely with cross-functional stakeholders. This is a hands-on role requiring initiative, ownership, and the ability to adapt to shifting priorities and customer needs. KEY RESPONSIBILITIES - Lead full-cycle sales engagements from outreach to contract execution - Develop relationships with key decision-makers across prospective enterprise clients - Drive revenue growth through both new business acquisition and strategic expansion - Maintain accurate forecasting and reporting using internal systems - Collaborate with internal teams to refine messaging, positioning, and customer engagement strategies - Provide market feedback and contribute to strategic planning and process development WHAT WE’RE LOOKING FOR - 6+ years of experience in B2B sales, ideally within fast-paced or high-growth organizations - A history of success managing long, multi-stakeholder sales cycles - Strong communication and interpersonal skills - Comfort navigating ambiguity and evolving priorities - Familiarity with standard CRM and sales enablement tools - Willingness to work hours aligned with the Eastern Time Zone We connect top talent with vetted employers, competitive pay, and real growth opportunities.", "summaryDescription" : "Senior Account Executive, Enterprise at Hire Hangar. Skills: Enterprise sales, Full-cycle sales. Lead full-cycle sales engagements. 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These core values shape our culture, and we were recently Great Place to Work Certified because of our outstanding workplace culture and employee experience. As well, our financial strength and stability are key reasons Forbes named us one of the Best 100 Banks in America for the ninth consecutive year. With more than $16 billion in assets and 135 branch locations throughout Washington, Oregon, Idaho, and California, we understand our role in the economy and take that responsibility seriously. In addition to offering a source of capital to personal banking clients and businesses of all sizes, we place a high importance on employee volunteerism and donate millions of dollars each year to community organizations. As a Senior Commercial Relationship Manager, you’ll drive growth by building meaningful partnerships with complex commercial clients. You’ll play a key role in expanding our presence through strategic business development and trusted financial guidance. This role offers the opportunity to make a strong impact while mentoring others and contributing to a high-performing team. ## In this role you'll In this role you’ll generate revenue through business development activities with existing clients and new prospects. Build and manage relationships with large, complex commercial clients, including those in specialized industry verticals. Actively market and develop business opportunities across commercial and industrial lending and targeted industry segments. Negotiate loan terms and structure credit solutions within your authority. Prepare and present detailed credit analysis and recommendations for borrowing requests. Conduct credit reviews and monitor portfolio risk to ensure compliance with policies and regulations. Manage ongoing credit risk by monitoring loan performance and maintaining accurate risk ratings. Represent the bank in the community to build awareness and strengthen relationships. Mentor and coach less experienced relationship managers and support team development. Follow all company policies, procedures, and regulatory requirements. ## What we're looking for You have a Bachelor’s degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). An equivalent combination of education and experience can be considered in lieu of a degree. You have 6 or more years of experience in commercial credit, analysis, or business development (Required). ## What helps you shine You have a proven ability to develop and manage large, complex client relationships. You excel at relationship management, presentations, and negotiating successful outcomes. You bring a strong understanding of local markets and how to grow business within them. You have strong financial and analytical skills with the ability to underwrite and structure commercial credits. You have deep knowledge of cash management products and services. You understand federal and state regulations related to commercial lending and appraisal guidelines. ## Travel Up to 10% ## Our Company Values Do the right thing Mutual respect Teamwork Honesty and integrity ## What Our Team Says \"I have the opportunity to learn and grow every day in my current role. I love the work life balance, knowing that we work hard, and strive for high performance but we are celebrated.\" ## Compensation & Benefits Targeted starting salary range (based on experience): $151,017 - $177,667 Annual incentive potential Comprehensive employee benefits, including: medical, dental, vision, LTD, STD and life Paid vacation time, sick time and 11 company paid holidays 401k (with up to 4% match) Tuition reimbursement ## Additional Information Review Banner's employee benefits at: Employee Benefits | Banner Bank Please take time to review Banner Bank's Consent & Privacy notice before applying. Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, marital status, age, disability or protected veteran status. Banner Bank does not accept unsolicited resumes from agencies and/or search firms for any job postings. Resumes submitted to any Banner Bank employee by a third-party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Banner Bank. No fee will be paid if a candidate is hired for a position as a result of an unsolicited agency or search firm referral.", "summaryDescription" : "Senior Commercial Relationship Manager at Banner Bank", "postedDate" : "2026-06-15T22:04:56.357", "createdAt" : "2026-06-15T22:04:56.357", "lastUpdated" : "2026-06-16T11:40:29.895", "ingestTimestamp" : "2026-06-16T03:27:22.096", "mongoId" : "6a3085e2f292fd229c07c5e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 151017, "salaryAnnualMax" : 177667, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 558.1471, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2cafed74d8ee00a09d83ce", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T09:58:14.336", "fingerprint" : "1141533a0ea2a9896faa30a62c944cb0be691492717a7ccd0019375ea41bcbde", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/64c47211-cf25-4747-b3d6-848fecb0f39a/application", "externalId" : "64c47211-cf25-4747-b3d6-848fecb0f39a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML", "professionalSkills" : [ "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "hardSkillsList" : [ "ML" ], "softSkillsList" : [ "curious, caring, cross-functional" ], "hardSkills" : [ { "name" : "ML", "level" : "intermediate" } ], "softSkills" : [ { "name" : "curious, caring, cross-functional" } ], "majorSkills" : "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "majorSkillsList" : [ "Platform leadership, Product judgement, Commercial impact, Data platform, ML" ], "coreResponsibilities" : "Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "teamCollaboration" : "Build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful.", "communicationSkills" : "Direct", "documentationSkills" : "documentation", "innovationCreativity" : "Shape the future state, zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming.", "problemSolvingSkills" : "system design; debugging; algorithms", "specialRequirements" : "Must be able to work in Barcelona, Edinburgh or London. Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. 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Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role We are seeking an experienced relationship manager to join our dynamic team. The ideal candidate will have a strong background in business partner client management and crypto trading techniques, with a robust book of clients already and ready to onboard. This role involves global market coverage and targets trading firms, brokers, and other institutional clients. Key Responsibilities: Maintain and grow relationships with existing clients to ensure ongoing business and customer satisfaction. Develop and implement effective operation strategies to meet and exceed targets. Identify and capitalize on new business opportunities within the market. Stay updated on market trends, competitor activities, and product developments. Provide feedback to product development teams to enhance product offerings based on client needs. Collaborate with internal teams, including marketing and product development, to align sales strategies. Prepare regular reports on sales performance and market insights for management review. Qualifications: Minimum 5 years of experience in crypto spot/derivatives/options client supporting roles. Proven track record of dealing with brokers, proprietary trading firms, exchanges, family offices, Asset management firms and other institutional clients. Strong understanding of global crypto markets and financial instruments. Excellent verbal and written communication skills in English/Chinese. A well-established network within the crypto trading community is essential. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "Relationship Manager at Bybit. Skills: Relationship management, Client acquisition, Crypto markets. Maintain and grow relationships with existing clients. 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Engineering teams; Startup community; VC communities; Founder communities", "projectManagementSkills" : [ "Project management", "Organizational skills" ], "domainKnowledge" : "Graph intelligence platform; Knowledge graphs; AI systems; Graph capabilities; Graph community; Graph database category", "domainList" : [ "graph-intelligence-platform", "knowledge-graphs", "ai-systems", "graph-capabilities", "graph-community", "graph-database-category" ], "domainSpecificKnowledge" : [ "Graph intelligence platform", "Knowledge graphs", "AI systems", "Graph capabilities", "Graph community", "Graph database category" ], "communicationSkills" : "Public speaking; Presentation; Content creation; Writing; Video creation; Code samples", "documentationSkills" : "Documentation", "outcomesObjectives" : "Measure impact of advocacy; Provide data-driven insights; Prepare reports on performance", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in developer advocacy, Deep technical knowledge, Exceptional public speaking skills, Exceptional presentation skills, Exceptional communication skills, Content creation abilities, Project management skills, Organizational skills, Excellent interpersonal skills, Community-building skills", "qualificationsPreferred" : "Experience with graph databases, Experience with Neo4j", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Job Title: Senior Developer Advocate - Startups by the Bay Job Description: The Senior Developer Advocate for Startups will be responsible for driving developer engagement among startups in the San Francisco Bay Area, by nurturing relationships with startups, and within the incubators, VCs, and founder communities that support them. This role requires technical expertise, community building, and content creation. Key Responsibilities: Developer Engagement: Build and maintain strong relationships with founding engineers and technical leadership at startups in the Bay Area. Serve as the main point of contact for startup inquiries and support. Act as a liaison between the startup community and the company. Technical Content Creation: Create technical content such as blog posts, tutorials, videos, and documentation. Develop code samples, demos, and SDKs to help developers understand and use our products. Present technical talks, webinars, and workshops at developer events. Product Advocacy: Advocate for our products and technologies within the developer community. Gather feedback from developers and provide insights to product and engineering teams. Collaborate with product management to align product development with developer needs. Community Building: Create and manage developer forums, communities, and user groups. Organize and participate in developer events, meetups, and hackathons. Foster a sense of collaboration and support within the developer community. Developer Education: Develop and deliver educational resources, training materials, and documentation. Provide guidance and best practices to help developers succeed with our technologies. Conduct technical workshops and training sessions. Metrics and Analytics: Utilize data and analytics to track developer engagement and measure the impact of developer advocacy efforts. Provide data-driven insights and recommendations for continuous improvement. Prepare regular reports on developer community performance. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience in developer advocacy, developer relations, or a related technical role. Deep technical knowledge and proficiency in relevant technologies. Exceptional public speaking, presentation, and communication skills. Strong content creation abilities, including writing, video creation, and code samples. Strong project management and organizational skills. Excellent interpersonal and community-building skills. Passion for technology and fostering a thriving developer community. The annual base salary range for this position based in the United States is listed below. This salary range is an estimate, and the actual salary may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual Base Salary Range for This Role $190,000—$260,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others. Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com. ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.", "summaryDescription" : "Senior Developer Advocate at Neo4j. Skills: Developer advocacy, Community building, Content creation. Build relationships with founding engineers. Maintain relationships with technical leadership", "postedDate" : "2026-06-15T23:20:34.203", "createdAt" : "2026-06-15T23:20:34.203", "lastUpdated" : "2026-06-16T06:04:47.191", "ingestTimestamp" : "2026-06-15T23:20:34.203", "mongoId" : "6a3051acf292fd229cf043d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Technical content creation", "Video creation", "Code samples", "Public speaking", "Developer advocacy", "Community building", "Content creation", "Project management", "Organization", "Organizational skills", "Graph intelligence platform", "Knowledge graphs", "AI systems", "Graph capabilities", "Graph community", "Graph database category" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 546.8861, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306822f292fd229cfc2a1a", "title" : "Senior blockchain engineer with payment and exchange building experience", "company" : "Travoom", "industry" : "Gambling And Casinos", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Blockchain Engineer in Santa Monica, United States, with adjustments for industry and experience." }, "location" : "Santa Monica, CA, United States", "locations" : [ "Santa Monica", "CA", "United States" ], "certifications" : [ "Certified Blockchain Developer" ], "timestamp" : "2026-06-16T07:26:53.530", "fingerprint" : "e5a808ba162a3a42a067baac1c25d0445141b3d026ded84f99c4b318318b9169", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Travoom/744000132080269-senior-blockchain-engineer-with-payment-and-exchange-building-experience", "externalId" : "744000132080269", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Monica", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0194704,-118.4912270" } ], "locationText" : "Santa Monica, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Blockchain Development, DApps, Smart contracts, Ethereum, Binance Smart Chain, Solana, Cryptocurrency protocols, Blockchain consensus mechanisms, Token economics, Solidity, Rust, JavaScript, Node.js, Python, Go, Smart contract auditing, Mythril, Slither, Cryptocurrency wallets, MetaMask, Trust Wallet, Crypto payments, Wallet development, Multi-sig wallets, Transaction management, Cryptography, Hash functions, Public-key cryptography, Optimistic Rollups, Zk-Rollups, Sidechains, APIs, Backend integration, Django, Express.js", "professionalSkills" : [ "Problem-solving", "Debugging", "Backend development" ], "hardSkillsList" : [ "Blockchain development", "Smart contract development", "Cryptocurrency integration", "Payment integration", "Cryptography", "Backend integration", "API integration" ], "softSkillsList" : [ "Problem-solving", "Debugging" ], "hardSkills" : [ { "name" : "Blockchain development", "level" : "intermediate" }, { "name" : "Smart contract development", "level" : "intermediate" }, { "name" : "Cryptocurrency integration", "level" : "intermediate" }, { "name" : "Payment integration", "level" : "intermediate" }, { "name" : "Cryptography", "level" : "intermediate" }, { "name" : "Backend integration", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Debugging" } ], "majorSkills" : "Blockchain Development, Smart Contracts, Cryptocurrency, Payment Integration", "majorSkillsList" : [ "Blockchain Development", "Smart Contracts", "Cryptocurrency", "Payment Integration" ], "coreResponsibilities" : "Build decentralized applications, Build smart contracts, Deploy smart contracts, Audit smart contracts, Integrate cryptocurrency wallets, Manage crypto payments, Integrate third-party blockchain tools, Integrate SDKs, Develop backends, Integrate APIs", "teamCollaboration" : "Cross-functionally with product managers; Cross-functionally with compliance officers; Cross-functionally with marketing teams", "domainKnowledge" : "Blockchain; Cryptocurrency protocols; Token economics; Smart contracts; Blockchain consensus mechanisms; Layer 2 scaling solutions; Cryptocurrency payment systems; Gambling platforms", "domainList" : [ "blockchain", "cryptocurrency-protocols", "token-economics", "smart-contracts", "blockchain-consensus-mechanisms", "layer-2-scaling-solutions", "cryptocurrency-payment-systems", "gambling-platforms" ], "domainSpecificKnowledge" : [ "Blockchain", "Cryptocurrency protocols", "Token economics", "Smart contracts", "Blockchain consensus mechanisms", "Layer 2 scaling solutions", "Cryptocurrency payment systems", "Gambling platforms" ], "toolProficiency" : [ "Mythril", "Slither", "MetaMask", "Trust Wallet", "Django", "Express.js" ], "innovationCreativity" : "Propose new ideas; Build something better", "problemSolvingSkills" : "Problem-solving; Debugging; Creative problem solver", "specialRequirements" : "Some travel required", "qualificationsBasic" : "5+ years blockchain development, Proficiency in Solidity, Familiarity with Solidity, Familiarity with smart contract auditing tools, Experience integrating cryptocurrency wallets, Experience managing crypto payments, Knowledge of cryptographic principles, Familiarity with blockchain security best practices, Knowledge of Layer 2 scaling solutions, Proficient in integrating third-party blockchain tools, Proficient in integrating SDKs, Experience with APIs, Experience with backend development, 5+ years experience blockchain development, Experience in cryptocurrency payment systems, Experience in gambling platforms, Proven track record building blockchain systems, Proven track record deploying blockchain systems, Proven track record building financial applications, Proven track record deploying financial applications, Degree in Computer Science, Degree in Software Engineering, Degree in Mathematics, Degree in related technical field", "qualificationsPreferred" : "Experience with cryptocurrency exchanges, Experience with other fintech platforms, Industry certifications in blockchain development, Participation in blockchain hackathons, Participation in blockchain projects, Experience with gambling licenses", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are pausing travoom to focus on oleolesport.com OleOle is developing a completely free social network and messaging app for football (Soccer), sports first super app. The primary revenue model will be gambling focused on in match play. A completely different modelusing Stake.com blockchain strategy. OleOle OleOle is building a social network and messaging platform for football/soccer. In match gambling driven by live score updates is the driver of our model. What we do... oleolesport.com empowers people to identify football experience and without any search requirements, simply presents the traveler with vetted components necessary to bring the trip to life -- tickets, lodging, flights and beyond. And we are building a football super app. Why it matters... Searching and successfully planning a trip around an iconic football experience is time-consuming, frustrating, overwhelming and often-times elusive. Football is complicated unlike any other sport with players playing for club and country simultaneously. Fans are looking for a place to \"Kick Off\" Why we are better... oleolesport.com’s searchless travel approach means a soccer/football experience can be discovered, planned and purchased in a matter of minutes without the endless search-driven lunacy and inefficiency that comes with all travel planning. There isnt a sports social network, oh some claim to be however they lack even the slightest understanding of network platforms. OleOle is utilizing a stake.com model focusing on crypto currencies for all in match bets. 86% of Bet365 revenue comes from in match play. ## Qualifications Technical Skills and Experience: 1. Blockchain Development Experience: • Proficiency in building decentralized applications (dApps) and smart contracts on blockchain platforms like Ethereum, Binance Smart Chain, or Solana. • Deep understanding of cryptocurrency protocols, blockchain consensus mechanisms, and token economics. 2. Proficiency in Programming Languages: • Expertise in languages commonly used in blockchain development such as Solidity, Rust, JavaScript (Node.js), Python, or Go. 3. Smart Contract Development: • Extensive experience designing, deploying, and auditing secure and efficient smart contracts. The engineer should be familiar with Solidity for Ethereum or other smart contract languages for different blockchains. • Understanding of smart contract auditing tools to ensure code security (e.g., tools like Mythril, Slither). 4. Cryptocurrency Wallet and Payment Integration: • Experience with integrating cryptocurrency wallets (MetaMask, Trust Wallet, etc.) and managing crypto payments securely on a platform. • Familiarity with working on wallet development, multi-sig wallets, and secure transaction management. 5. Security and Cryptography: • In-depth knowledge of cryptographic principles (hash functions, public-key cryptography, etc.) to ensure secure transactions. • Familiarity with blockchain security best practices, including protection against attacks (51% attacks, replay attacks, double-spending, etc.). 6. Scalability Solutions: • Knowledge of Layer 2 scaling solutions (e.g., Optimistic Rollups, zk-Rollups, sidechains) to ensure the gambling platform can handle a high volume of micro-transactions efficiently. 7. Experience with APIs and Backend Integration: • Proficient in integrating third-party blockchain tools or SDKs and off-the-shelf backend solutions. • Experience working with APIs to interact with gambling or financial platforms, and with backend development using frameworks like Django or Express.js. Professional Experience: • 5+ years of experience in blockchain development, ideally with experience in cryptocurrency payment systems or gambling/betting platforms. • Proven track record of building and deploying large-scale blockchain systems or financial applications. • Experience in working with cryptocurrency exchanges or other fintech platforms is a plus. Soft Skills: • Strong problem-solving and debugging skills. • Ability to work in a fast-paced environment and integrate blockchain solutions with an existing tech stack. • Experience in working cross-functionally with product managers, compliance officers, and marketing teams to ensure smooth product launches. Educational Background: • A degree in Computer Science, Software Engineering, Mathematics, or a related technical field. • Industry certifications in blockchain development (e.g., Certified Blockchain Developer) or participation in blockchain-focused hackathons/projects would be valuable. Compliance and Regulatory Officer 1. Regulatory Knowledge and Expertise: • Gambling Law and Regulations: A strong understanding of global and local gambling regulations, particularly jurisdictions like Curaçao, Malta, and other regions that provide licenses for online gambling. Familiarity with the requirements of these licenses, including player protection, taxation, and financial reporting. • Cryptocurrency Regulations: Expertise in the evolving legal landscape surrounding cryptocurrencies, including AML (Anti-Money Laundering) and KYC (Know Your Customer) rules. Understanding how crypto is regulated in various jurisdictions is essential, particularly for gambling transactions. • Data Privacy Laws: Knowledge of GDPR and other data privacy laws, ensuring the platform is compliant with regulations concerning user data protection, especially in regions like the EU. • Responsible Gambling Practices: Familiarity with responsible gambling standards and player protection mechanisms, ensuring that the platform promotes ethical gambling. 2. Risk Management: • Risk Assessment: Ability to assess regulatory risks related to gambling and cryptocurrency. This includes identifying legal risks in specific markets and ensuring all operational practices align with the law. • Compliance Auditing: Experience conducting internal audits to ensure compliance with gambling laws, cryptocurrency regulations, and responsible gaming practices. The officer should establish a clear framework for regular compliance checks. • AML/KYC Expertise: Strong understanding of AML and KYC protocols to prevent money laundering and fraud within the gambling platform, particularly with cryptocurrency payments. 3. Licensing and Reporting: • License Management: Experience in obtaining and maintaining the necessary licenses to operate an online gambling platform in different jurisdictions. This includes submitting reports and filings to regulators on a regular basis. • Regulatory Reporting: Knowledge of reporting requirements for gambling operators, including financial reports, player activity, transaction data, and tax reporting. • Policy Development: Ability to develop internal compliance policies to meet all legal and regulatory obligations, including for cryptocurrency transactions. 4. Legal Drafting and Documentation: • Contract Review and Negotiation: Experience in reviewing and drafting contracts with vendors, payment processors, and affiliates to ensure compliance with gambling and crypto regulations. • Terms & Conditions: Expertise in creating clear, compliant terms and conditions for users, including bonus policies, withdrawal limits, and dispute resolution procedures. • Documentation: Ability to maintain thorough records of compliance efforts, licenses, and correspondence with regulatory bodies. Professional Experience: • 5+ years of experience in a compliance role within the gambling, cryptocurrency, fintech, or finance industry. • Experience with cryptocurrency exchanges, betting platforms, or financial services is highly desirable. • Proven track record of successfully obtaining and maintaining gambling licenses across multiple jurisdictions. Educational Background and Certifications: • Law Degree or equivalent qualification in compliance, regulatory affairs, or a related field. • Certifications in compliance (e.g., Certified Anti-Money Laundering Specialist (CAMS), Certified Gambling Compliance Officer) are advantageous. Soft Skills: • Attention to Detail: Strong attention to detail is critical for ensuring compliance with the various regulatory frameworks across gambling and cryptocurrency. • Communication: Ability to effectively communicate complex regulatory requirements to internal teams (tech, marketing, etc.) and external partners (regulators, auditors). • Problem-Solving: Capable of developing solutions to complex regulatory challenges that arise with the integration of gambling and cryptocurrency. By focusing on these skills and qualifications, OleOle will ensure their Compliance and Regulatory Officer can navigate the complex legal landscape surrounding online gambling and cryptocurrency to ensure smooth operations and regulatory adherence. ## Additional Information Solutions not problems . * Creative problem solver who can courageously propose and support new ideas to our organization. Not interested in best practices, lets build something better! * Ability to adapt. An ideal candidate will welcome the opportunity to solve a broad range of problems using a wide array of technologies. * Comfortable with ambiguity, shifting priorities and general growing pains of an early-stage technology company * An exceptional entrepreneurial judgment that fosters independence over micro-management * Understanding of football and international sports a huge plus Ole Ole is located in beautiful Santa Monica, however, this role requires some travel we are privately held and rapidly growing!", "summaryDescription" : "Senior blockchain engineer with payment and exchange building experience at Travoom. Skills: Blockchain Development, Smart Contracts, Cryptocurrency, Payment Integration. Build decentralized applications. Build smart contracts", "postedDate" : "2026-06-14T23:19:42.000", "createdAt" : "2026-06-15T23:51:20.156", "lastUpdated" : "2026-06-16T07:26:53.530", "ingestTimestamp" : "2026-06-15T23:51:20.156", "mongoId" : "6a306822f292fd229cfc2a1a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Blockchain development", "Smart contract development", "Cryptocurrency integration", "Payment integration", "Cryptography", "Backend integration", "API integration", "Problem-solving", "Debugging", "Blockchain Development", "Smart Contracts", "Cryptocurrency", "Payment Integration", "Backend development", "Blockchain", "Cryptocurrency protocols", "Token economics", "Smart contracts", "Blockchain consensus mechanisms", "Layer 2 scaling solutions", "Cryptocurrency payment systems", "Gambling platforms", "Certified Blockchain Developer", "Mythril", "Slither", "MetaMask", "Trust Wallet", "Django", "Express.js" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 546.00116, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : 544.2947, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a48c374d8ee00a05e1585", "title" : "Senior Software Engineer ll, Decision Engineering", "company" : "Forter", "industry" : "Technology", "salary" : { "min" : 450000.0, "max" : 650000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineer II in Tel Aviv, Israel, adjusted for the technology industry and senior experience level." }, "location" : "Israel - Tel Aviv", "locations" : [ "Israel - Tel Aviv" ], "timestamp" : "2026-06-14T22:26:23.868", "fingerprint" : "97ed7e35885fcd690d242a273c744eea78247a0137cedf53bf4c5ed4adf25edf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/forter/jobs/8578429002", "externalId" : "8578429002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv, Israel", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Java, Kotlin, Node.js, AWS, Kubernetes, Docker, Flink, Storm", "professionalSkills" : [ "Decision Engineering", "Distributed systems", "API platform", "Schema management", "Real-time infrastructure", "Low-latency systems", "High-throughput systems", "Fault-tolerant systems", "Production-grade quality", "Enterprise integrations" ], "hardSkillsList" : [ "Backend systems development", "Cloud-native technologies", "Distributed systems design", "Real-time data processing", "Resilience patterns" ], "softSkillsList" : [ "Ownership", "Autonomy", "Accountability" ], "hardSkills" : [ { "name" : "Backend systems development", "level" : "intermediate" }, { "name" : "Cloud-native technologies", "level" : "intermediate" }, { "name" : "Distributed systems design", "level" : "intermediate" }, { "name" : "Real-time data processing", "level" : "intermediate" }, { "name" : "Resilience patterns", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Autonomy" }, { "name" : "Accountability" } ], "majorSkills" : "Decision Engineering, Distributed systems, Real-time infrastructure, Backend development", "majorSkillsList" : [ "Decision Engineering", "Distributed systems", "Real-time infrastructure", "Backend development" ], "coreResponsibilities" : "Design backend systems, Build backend systems, Scale backend systems, Own projects end-to-end, Ensure low-latency systems, Ensure fault-tolerant systems, Ensure high-throughput systems, Enhance observability, Enhance reliability, Enhance developer experience, Collaborate with Product, Collaborate with analysts, Collaborate with data scientists, Collaborate with infrastructure teams, Participate in technical discussions, Participate in customer interactions, Provide expertise, Provide clear communication", "teamCollaboration" : "Product teams; Analysts; Data scientists; Infrastructure teams; Customer interactions", "domainKnowledge" : "Fraud decisions; Decisioning platform; Digital commerce; Real-time data processing; Resilience patterns", "domainList" : [ "fraud-decisions", "decisioning-platform", "digital-commerce", "real-time-data-processing", "resilience-patterns" ], "domainSpecificKnowledge" : [ "Fraud decisions", "Decisioning platform", "Digital commerce", "Real-time data processing", "Resilience patterns" ], "toolProficiency" : [ "AWS", "Kubernetes", "Docker" ], "communicationSkills" : "Explain complex systems", "problemSolvingSkills" : "Solving complex distributed systems challenges", "qualificationsBasic" : "6+ years backend systems experience, Python, Java, Kotlin, or Node.js programming, Cloud-native technologies (AWS, Kubernetes, Docker), Design and maintain high-scale distributed systems", "qualificationsPreferred" : "API Gateway architectures experience, Schema/versioning strategies experience, Platformization efforts experience, Familiarity with real-time data processing frameworks, Familiarity with resilience patterns, Background with data science teams, Background with machine learning teams, Contributions to developer platforms, Contributions to infrastructure services, Contributions to internal tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the role: Forter is looking for a Senior Software Engineer to join our Decision Engineering team. The group is responsible for the real-time, low-latency infrastructure that powers Forter’s fraud decisions and external APIs. Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale. In this role, you’ll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the world’s largest merchants. This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of Forter’s decisioning platform. What you'll be doing: Design, build, and scale backend systems that power Forter’s real-time decisioning and APIs. Own projects end-to-end - from design and implementation to production rollout and monitoring. Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments. Enhance observability, reliability, and developer experience through strong operational and tooling practices. Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across Forter’s decision ecosystem. Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations. What you'll need: 6+ years of experience building backend systems in large-scale production environments Strong programming skills in Python, Java, Kotlin, or Node.js Hands-on experience with cloud-native technologies (AWS, Kubernetes, Docker) Proven ability to design and maintain high-scale distributed systems Strong sense of ownership, autonomy, and accountability Excellent communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences — including direct collaboration with customers worldwide It'd be cool if you also have: Experience with API Gateway architectures, schema/versioning strategies, or platformization efforts Familiarity with real-time data processing frameworks (e.g., Flink, Storm) and resilience patterns Background working alongside data science or machine learning teams Contributions to developer platforms, infrastructure services, or internal tools improving engineering velocity About us: Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction. The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve. Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. Trust is backed by data – Forter is a recipient of over 10 workplace and innovation awards, including: Great Place to Work Certification (2021, 2022, 2023, 2024, 2025) Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025) Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025) Anti-Fraud Solution of the Year at the Payments Awards (2024) Life as a Forterian: We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience. At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company. Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law. If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process. Hybrid work: At Forter, we embrace a hybrid work model that blends in-person connection with the flexibility of remote work. Team members based near our key hubs are expected to work from the office at least three days per week. We believe that regular face-to-face collaboration fuels professional development, strengthens our culture, and builds the relationships that help teams thrive. Forter's Applicant Privacy Policy", "summaryDescription" : "Senior Software Engineer ll, Decision Engineering at Forter. Skills: Decision Engineering, Distributed systems, Real-time infrastructure, Backend development. Design backend systems. Build backend systems", "postedDate" : "2026-06-11T20:16:05.224", "createdAt" : "2026-06-11T20:16:05.224", "lastUpdated" : "2026-06-14T22:26:23.868", "ingestTimestamp" : "2026-06-11T20:16:05.224", "mongoId" : "6a2a48c374d8ee00a05e1585", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend systems development", "Cloud-native technologies", "Distributed systems design", "Real-time data processing", "Resilience patterns", "Ownership", "Autonomy", "Accountability", "Decision Engineering", "Distributed systems", "Real-time infrastructure", "Backend development", "API platform", "Schema management", "Low-latency systems", "High-throughput systems", "Fault-tolerant systems", "Production-grade quality", "Enterprise integrations", "Fraud decisions", "Decisioning platform", "Digital commerce", "AWS", "Kubernetes", "Docker" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 542.5943, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c8d8374d8ee00a0979318", "title" : "Manager, Engineering, Secure Build", "company" : "Docker", "industry" : "Engineering", "salary" : { "min" : 244550.0, "max" : 392150.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Canada", "locations" : [ "Canada", "United States" ], "timestamp" : "2026-06-15T09:06:07.262", "fingerprint" : "95dd1e226858c9321905110684e1b43f4f765cffd0ccdf63b8903dffebe8d61e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/docker/a6eb0b73-d10e-4d2c-8f94-173f5584bef8/application", "externalId" : "a6eb0b73-d10e-4d2c-8f94-173f5584bef8", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Go, Docker, Kubernetes", "professionalSkills" : [ "Delivery ownership", "Operational excellence", "Technical direction", "Team growth", "Performance management", "Cross-functional alignment" ], "hardSkillsList" : [ "Build systems operation", "Secure build infrastructure", "Micro-VM sandbox execution" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Build systems operation", "level" : "intermediate" }, { "name" : "Secure build infrastructure", "level" : "intermediate" }, { "name" : "Micro-VM sandbox execution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Secure build, CI/CD, Cloud infrastructure", "majorSkillsList" : [ "Secure build", "CI/CD", "Cloud infrastructure" ], "coreResponsibilities" : "Lead senior engineers, Operate build systems, Build secure build infrastructure, Own delivery, Turn roadmap into plan, Execute predictably, Get team process right, Partner with Product, Turn strategy into roadmap, Stay deep in technical work, Be active in design, Be hands-on in code, Set team technical direction, Give team room to own, Be accountable for reliability, Ensure operational excellence, Own engineer growth, Own engineer development, Own engineer performance, Hire to strengthen team, Work across wider org, Align the team, Shield team from churn, Hold registry mechanics", "teamCollaboration" : "Partnering with Product; Work across wider org; Cross-functional alignment", "projectManagementSkills" : [ "Roadmap planning", "Delivery planning" ], "domainKnowledge" : "Container builds; Secure CI; Build runner; Micro-VM sandbox; Supply chain security; Build pipeline security; Regulated environments; Air-gapped environments", "domainList" : [ "container-builds", "secure-ci", "build-runner", "micro-vm-sandbox", "supply-chain-security", "build-pipeline-security", "regulated-environments", "air-gapped-environments" ], "domainSpecificKnowledge" : [ "Container builds", "Secure CI", "Build runner", "Micro-VM sandbox", "Supply chain security", "Build pipeline security", "Regulated environments", "Air-gapped environments" ], "toolProficiency" : [ "Docker Build Cloud", "Docker Hub" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Training stipend; Conferences; Courses; Classes", "problemSolvingSkills" : "Unblocking", "specialRequirements" : "On-call rotation", "outcomesObjectives" : "Deliver against roadmap; Operate production systems reliably; Grow engineers in capability; Grow engineers in number", "qualificationsBasic" : "Experience operating production infrastructure, On-call, Incident response, SLOs, High-traffic services healthy, Leading distributed remote-first team, Written and verbal communication, Habit of staying close to customers, Hands-on familiarity with Go", "qualificationsPreferred" : "Deep understanding of supply-chain security", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. The Secure Build team builds and operates the infrastructure behind Docker's container builds. The team owns and runs Docker Build Cloud and Docker's Hub build systems, which run millions of builds a year for hundreds of organisations, and is building the next generation of that: secure, sandboxed CI that isolates each build step and produces hardened images with strong, verifiable provenance, including for customers in regulated and air-gapped environments. A current focus is a hardened build runner that executes each workflow step inside its own micro-VM sandbox. We're looking for an Engineering Manager to lead this team. It's a small, very senior group that recently came together, with strong technical leadership spread across it. You'll own the team's delivery, growth, and operational excellence, keep its high-scale production systems healthy, and be a real part of setting the team's technical direction alongside the engineers who lead on different parts of the system. THE KIND OF PERSON WE'RE LOOKING FOR The successful candidate leads first. They're an experienced engineering manager at their best turning a senior team into a high-performing, value-delivering part of the wider Docker org: getting the process and team mechanics right, partnering well with Product, and navigating the personalities on and around the team. What sets them apart is that they stay deep in the technical work rather than steering from a distance. They're active in technical design and in the PRs, they help shape the technical direction, and they're happy to pick up code where it moves things forward. We're not after a 50-50 player-coach, and we're not after someone who's left the engineering behind either; the balance tilts to leading, but they're hands-on enough to be properly in the detail with the team. The team has strong technical leadership across it, and direction is set together rather than by any one person, so this isn't about being the best engineer in the room or the deepest supply-chain-security expert. It's about being engaged and credible enough to be a real part of how the team sets its direction, not standing apart from it. They care about security broadly: how modern attacks actually work, the OWASP Top 10, and where a build pipeline is exposed. They lead through judgement, unblocking, and direction-setting rather than process for its own sake, because that's what a senior, autonomy-heavy team responds to. They're comfortable owning the operational reality of production systems and on-call, and they're energised rather than thrown by ambiguity. Above all they care about growing the engineers around them and shipping something customers actually trust. RESPONSIBILITIES: - Lead a team of senior engineers operating Docker Build Cloud and Hub's build systems and building Docker's next generation of secure build infrastructure. - Own delivery: turn an ambiguous, high-stakes roadmap, including time-bound commitments to regulated and federal customers, into a concrete plan the team can execute predictably. - Get the team's process and mechanics right, and partner closely with Product to turn strategy into a roadmap the team believes in. - Stay deep in the technical work: active in design discussions and code review, hands-on in the code where it helps, rather than steering from a distance. - Be a real part of setting the team's technical direction, working with the engineers who lead on different parts of the system, while giving the whole team room to own technical decisions. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. - Be accountable for the reliability and operational excellence of the team's production services, including a healthy, humane on-call rotation. - Own the growth, development, and performance of each engineer on the team, and hire to strengthen it. - Work across the wider org - Product, sales, commercial and legal, the Hub/registry team, and security - to align the team and shield it from churn. - Hold a high bar for engineering excellence and raise the team's security hygiene. QUALIFICATIONS - 5+ years managing high-performing engineering teams, including engineers at or above their own level of technical seniority, with a track record of growing and retaining senior individual contributors. - 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - A leader first: strong on team process and mechanics, on partnering with Product, and on reading and navigating the personalities on and around a team to make it more than the sum of its parts. - Comfortable inheriting a team they didn't build: earning the trust of experienced engineers, and owning the full range of performance conversations, including the difficult ones, fairly and directly. - Technically deep and still hands-on: recent enough engineering chops to be active in design and code review, be a real part of setting technical direction with the team, and write code where it helps. Not the best engineer in the room or the deepest domain expert, but not a manager who's left the technical detail behind either. - A strong interest in security: how recent attacks have actually worked, the OWASP Top 10, and the build threat model. Familiarity with software supply chain security (SLSA, in-toto, provenance, signing such as cosign, SBOMs, vulnerability scanning) is valued, but we care more about security instinct and appetite than a checklist of tools. - Understanding of CI/CD and build-system internals, container images and image hardening, and OCI registry mechanics. - Experience operating production infrastructure: on-call, incident response, SLOs, and the realities of keeping high-traffic services healthy. - Comfortable leading a distributed, remote-first team across European and US time zones, with a high degree of autonomy. - Strong written and verbal communication, and a habit of staying close to customers. - Hands-on familiarity with Go is a plus; it's the team's primary language. WHAT TO EXPECT FIRST 30 DAYS Get to know the team, the systems, and the commitments before changing anything. Build relationships with each engineer, understand the roadmap and what the team is building, and get hands-on enough with Build Cloud and the inherited systems to understand the on-call load you're taking on. FIRST 90 DAYS. Own the delivery plan with the team and Product. Get the on-call rotation to a healthy, sustainable place. Be the team's point of contact across the wider org. ONE YEAR OUTLOOK The team is delivering against its roadmap and operating its production systems reliably, the on-call and delivery cadence are sustainable, and the team is growing both in capability and in number. Docker considers visa sponsorship on a case-by-case basis based on business needs. Perks - Freedom & flexibility; fit your work around your life - Designated quarterly Whaleness Days plus end of year Whaleness break - Home office setup; we want you comfortable while you work - 16 weeks of paid Parental leave (after 6 months of employment) - Technology stipend equivalent to $100 USD net/month - PTO plan that encourages you to take time to do the things you enjoy - Training stipend for conferences, courses and classes - Equity; we are a growing start-up and want all employees to have a share in the success of the company - Docker Swag - Medical benefits, retirement and holidays vary by country - Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE", "summaryDescription" : "Manager, Engineering, Secure Build at Docker. Skills: Secure build, CI/CD, Cloud infrastructure. Lead senior engineers. Operate build systems", "createdAt" : "2026-06-14T04:01:38.077", "lastUpdated" : "2026-06-15T09:06:07.262", "ingestTimestamp" : "2026-06-14T04:01:38.077", "mongoId" : "6a2c8d8374d8ee00a0979318", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Build systems operation", "Secure build infrastructure", "Micro-VM sandbox execution", "Leadership", "Mentoring", "Secure build", "CI/CD", "Cloud infrastructure", "Delivery ownership", "Operational excellence", "Technical direction", "Team growth", "Performance management", "Cross-functional alignment", "Roadmap planning", "Delivery planning", "Container builds", "Secure CI", "Build runner", "Micro-VM sandbox", "Supply chain security", "Build pipeline security", "Regulated environments", "Air-gapped environments", "Docker Build Cloud", "Docker Hub" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 539.53436, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c95ac74d8ee00a098db1d", "title" : "Staff Software Engineer - Market Maker", "company" : "Fanatics Betting & Gaming", "industry" : "FinTech", "salary" : { "min" : 180500.0, "max" : 237500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T22:34:36.928", "fingerprint" : "9cabe65203458b1d52cd7fc7809ce96214a453a549ca0fe2c429f6dd58ecbc3f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4272232009", "externalId" : "4272232009", "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" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Python, Java, Go, C++, AWS, Kubernetes, Docker, Kafka, PostgreSQL, Redis, GRPC, REST", "professionalSkills" : [ "System design", "Data ingestion", "Pricing engine", "Order management", "Risk monitoring", "P&L management", "Exchange connectivity", "Trading UI", "Performance bottlenecks", "Technical risk" ], "hardSkillsList" : [ "Low-latency event streams", "High-throughput event streams", "Spread logic", "Adverse selection" ], "softSkillsList" : [ "Clear communicator", "High risk tolerance" ], "hardSkills" : [ { "name" : "Low-latency event streams", "level" : "intermediate" }, { "name" : "High-throughput event streams", "level" : "intermediate" }, { "name" : "Spread logic", "level" : "intermediate" }, { "name" : "Adverse selection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Clear communicator" }, { "name" : "High risk tolerance" } ], "majorSkills" : "Market making, Real-time systems, Trading platforms, High-frequency trading", "majorSkillsList" : [ "Market making", "Real-time systems", "Trading platforms", "High-frequency trading" ], "coreResponsibilities" : "Own a major domain, Drive design, Drive implementation, Drive operational reliability, Build systems processing event streams, Maintain systems processing event streams, Partner on cross-domain decisions, Contribute to exchange abstraction layer, Define APIs, Define integration patterns, Build internal Trading UI tooling, Improve internal Trading UI tooling, Diagnose production issues, Respond to production issues, Identify performance bottlenecks, Identify technical risk, Contribute to engineering standards, Write design docs, Conduct code reviews, Conduct architecture reviews", "teamCollaboration" : "Senior Staff engineer; Trading team; Principal engineer", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Prediction markets; Real-time trading; Financial infrastructure; Market data platforms; FIX protocol; Quantitative concepts; Pricing models; Spread optimization; Inventory management; Adverse selection; Trading economics", "domainList" : [ "prediction-markets", "real-time-trading", "financial-infrastructure", "market-data-platforms", "fix-protocol", "quantitative-concepts", "pricing-models", "spread-optimization", "inventory-management", "adverse-selection", "trading-economics" ], "domainSpecificKnowledge" : [ "Prediction markets", "Real-time trading", "Financial infrastructure", "Market data platforms", "FIX protocol", "Quantitative concepts", "Pricing models", "Spread optimization", "Inventory management", "Adverse selection", "Trading economics" ], "toolProficiency" : [ "Git", "JIRA" ], "communicationSkills" : "Write design docs; Explain production failure; Debate architectural trade-off", "documentationSkills" : "Write design docs", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "In-person components, Onsite interviews, Multi-day cultural immersion", "outcomesObjectives" : "Keep markets liquid; Keep book healthy; Manage P&L; Manage risk", "qualificationsBasic" : "Own a major domain, Build and maintain systems, Partner with Senior Staff engineer, Contribute to exchange abstraction layer, Build and improve internal Trading UI tooling, Diagnose and respond to production issues, Proactively identify performance bottlenecks, Contribute to team-level engineering standards, Develop genuine fluency in trading economics", "qualificationsPreferred" : "3+ years building systems, Experience in real-time trading, Financial infrastructure experience, Market data platforms experience, Prediction markets experience, Familiarity with FIX protocol, Familiarity with exchange connectivity patterns, Working knowledge of quantitative concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, it lets users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Its mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. We’re hiring for our Market Making team that sits outside the Fanatics Markets application’s operation, working independently with a third-party exchange and clearinghouse. The Market Maker provides liquidity across prediction markets — making every market feel deep, competitive, and tradeable — while managing its own P&L as an independent business line within the org. The Market Maker controls its data ingestion, pricing engine, order management, PnL and risk monitoring, and the internal Trading UI its traders rely on around the clock. The market making team is small, moves fast, and deploys to production daily. We're expanding coverage across every major sport, market type, and event available to trade. World Cup 2026 is our next major milestone, and the NFL season follows close behind. Role Overview We're looking for a Staff Engineer to own a critical domain within our market making platform — pricing engine, order management, data ingestion, or PnL infrastructure — and take end-to-end accountability for its correctness, performance, and reliability under live trading conditions. This is a hands-on, high-ownership role. You'll work alongside our Senior Staff and senior engineers to build the systems that keep our markets liquid and our book healthy at peak volume. Real money is on the line every time our system quotes a price — the work is technically demanding, commercially consequential, and directly visible in daily P&L snapshots the whole team sees. You won't be handed a spec. You'll be expected to understand the trading business well enough to write one, and to care about outcomes beyond just shipping the feature. Responsibilities Own a major domain within the market making pipeline — pricing engine, order management, real-time data ingestion, or PnL/risk infrastructure — driving design, implementation, and ongoing operational reliability. Build and maintain systems that process high-throughput, low-latency event streams: market data, fixture updates, pricing feeds, and order lifecycle events across exchanges. Partner with our Senior Staff engineer and trading team on cross-domain technical decisions — contributing grounded domain expertise while maintaining the integrity of the broader platform architecture. Contribute to the exchange abstraction layer being built for our in-house exchange, helping define the APIs and integration patterns that will connect us to new venues beyond CDNA. Build and improve internal Trading UI tooling — dashboards, kill switches, position monitors, and manual intervention surfaces — that our traders depend on for real-time market management during live events. Diagnose and respond to production issues in a live trading environment: understand whether a bad P&L day came from pricing latency, a strategy misfire, a mapping error, or an adverse selection pattern — then fix it durably. Proactively identify performance bottlenecks and technical risk within your domain before they affect trading operations or our hold rate. Contribute to team-level engineering standards — design docs, code and architecture reviews, and patterns that hold up as we expand to new sports, market types, and exchange venues. Develop genuine fluency in our trading economics: understand spread logic, adverse selection, inventory risk, and where we make and lose money — and use that context to prioritize what to build and improve. Experience and Skills 7+ years building scalable, fault-tolerant distributed systems in production environments Strong hands-on proficiency with Java, Kafka, Redis, Kubernetes, AWS, and Postgres Deep experience with event-driven architecture and async messaging — you've designed and debugged consumer group strategies, partition schemes, and delivery guarantees under real production constraints Demonstrated end-to-end domain ownership: you've designed, built, operated, and improved systems — not just delivered features Strong performance instincts — you think carefully about latency, throughput, and data pipeline efficiency, and you know how to measure what matters Clear, direct communicator — you can write a crisp design doc, explain a production failure to a trader, and debate an architectural trade-off with a principal engineer High risk tolerance for ambiguity and speed — you're comfortable deploying daily, working without a release train, and making good decisions when the spec is still being written Preferred 3+ years building systems where latency, throughput, and cost efficiency are in constant tension Experience in real-time trading, financial infrastructure, market data platforms, or prediction markets Familiarity with FIX protocol or exchange connectivity patterns Working knowledge of quantitative concepts — pricing models, spread optimization, inventory management, or adverse selection — even if you've come at them from the engineering side Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-Remote Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $180,500—$237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Staff Software Engineer - Market Maker at Fanatics Betting & Gaming. Skills: Market making, Real-time systems, Trading platforms, High-frequency trading. Own a major domain. Drive design", "postedDate" : "2026-06-14T20:46:51.883", "createdAt" : "2026-06-14T20:46:51.883", "lastUpdated" : "2026-06-15T22:34:36.928", "ingestTimestamp" : "2026-06-14T20:46:51.883", "mongoId" : "6a2c95ac74d8ee00a098db1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180500, "salaryAnnualMax" : 237500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Low-latency event streams", "High-throughput event streams", "Spread logic", "Adverse selection", "Clear communicator", "High risk tolerance", "Market making", "Real-time systems", "Trading platforms", "High-frequency trading", "System design", "Data ingestion", "Pricing engine", "Order management", "Risk monitoring", "P&L management", "Exchange connectivity", "Trading UI", "Performance bottlenecks", "Technical risk", "Agile", "Scrum", "Prediction markets", "Real-time trading", "Financial infrastructure", "Market data platforms", "FIX protocol", "Quantitative concepts", "Pricing models", "Spread optimization", "Inventory management", "Trading economics", "Git", "JIRA" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 530.63354, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a456b74d8ee00a05d2104", "title" : "Decision Scientist", "company" : "Instructure", "industry" : "General & Administration", "salary" : { "min" : 548000.0, "max" : 685000.0, "currency" : "MXN", "frequency" : "Yearly" }, "location" : "Mexico", "locations" : [ "Mexico" ], "timestamp" : "2026-06-14T21:05:18.602", "fingerprint" : "93a94c5a2c7e4b0620e7b875be56e8f9737fc030095ff3fd4629ec66d0e113f2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/instructure/3ee92163-aa15-47a5-a742-e2fae73deb74/application", "externalId" : "3ee92163-aa15-47a5-a742-e2fae73deb74", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Mexico", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, AI tooling, Claude, ChatGPT, Glean", "professionalSkills" : [ "Data science", "Analytics", "Product analytics", "EdTech" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Experimental design", "A/B testing", "Causal inference", "Data analysis", "Data manipulation", "Data visualization", "Model building", "Outcome tracking" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Model building", "level" : "intermediate" }, { "name" : "Outcome tracking", "level" : "intermediate" } ], "majorSkills" : "Data science, Analytics, Machine learning, Experimentation", "majorSkillsList" : [ "Data science", "Analytics", "Machine learning", "Experimentation" ], "coreResponsibilities" : "Support business impact through data-driven insights, Conduct analyses to improve product adoption, Conduct analyses to improve customer engagement, Conduct analyses to improve revenue growth, Support design of A/B tests, Support execution of A/B tests, Support design of causal inference studies, Support execution of causal inference studies, Evaluate impact of new product features, Evaluate impact of pricing strategies, Evaluate impact of go-to-market initiatives, Partner with product managers, Partner with engineers, Partner with marketing teams, Translate business questions into analytical frameworks, Deliver clear, actionable findings, Own analytical project lifecycle, Scope analytical problems, Build analytical models, Present analytical insights, Track analytical outcomes, Leverage AI tooling to accelerate analysis, Improve analytical throughput, Elevate quality of deliverables, Translate analytical findings into recommendations, Communicate findings to technical stakeholders, Communicate findings to non-technical stakeholders", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Marketing teams", "domainKnowledge" : "EdTech; SaaS; Product analytics", "domainList" : [ "edtech", "saas", "product-analytics" ], "domainSpecificKnowledge" : [ "EdTech", "SaaS", "Product analytics" ], "toolProficiency" : [ "Tableau", "PowerBI", "Snowflake", "Databricks", "Fivetran" ], "communicationSkills" : "Storytelling; Present complex analyses", "continuousLearning" : "Learning and development resources; Professional development tools; Tuition reimbursement", "problemSolvingSkills" : "Analytical rigor", "specialRequirements" : "Background check, Identity verification", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: The Decision Scientist at Instructure will contribute to how data informs strategic decisions across the organization. This is a foundational role within a growing decision science capability, offering the opportunity to apply analytical rigor to meaningful business problems in an EdTech environment. IMPACT OF THE ROLE As a Decision Scientist, you will support data-driven decision-making across Instructure by delivering high-quality analyses and partnering with cross-functional teams. In this role, you will: - Support business impact through data-driven insights. Conduct analyses that uncover opportunities to improve product adoption, customer engagement, and revenue growth using rigorous analytical methods. - Execute experimentation and causal analysis. Support the design and execution of A/B tests and causal inference studies to evaluate the impact of new product features, pricing strategies, and go-to-market initiatives. - Contribute to product and business strategy. Partner with product managers, engineers, and marketing teams to translate business questions into structured analytical frameworks and deliver clear, actionable findings. - Deliver analytical solutions end-to-end. Own the lifecycle of analytical projects — from scoping problems and building models to presenting insights and tracking outcomes. - Apply AI-first thinking. Leverage AI tooling (e.g., Claude, ChatGPT, Glean) to accelerate analysis, improve throughput, and elevate the quality of deliverables. - Communicate insights clearly. Translate analytical findings into recommendations that both technical and non-technical stakeholders can understand and act on. WHAT YOU WILL NEED - Master's degree in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field (PhD is a plus). - 2–4 years of experience in data science, analytics, or a related discipline with demonstrated ability to deliver actionable insights. - Strong understanding of statistical modeling, machine learning fundamentals, and experimental design (A/B testing). - Familiarity with AI tooling (Claude, ChatGPT, Glean) to improve productivity. - Strong proficiency in SQL for data extraction and manipulation. - Proficiency in Python or R for data analysis, modeling, and visualization. - Proficiency in a Business intelligence tool (Tableau, PowerBI... etc.) - Experience working with modern data platforms (e.g., Snowflake, Databricks, Fivetran). - Strong communication and storytelling skills with the ability to present complex analyses clearly. - Experience in SaaS, product analytics, or EdTech environments is a plus. - Ability to work effectively in a fast-paced, cross-functional environment. Get in on all the awesome at Instructure! We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect: - Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success. - Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location. - Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs. - Comprehensive wellness programs and mental health support - Learning and development resources, including professional development tools and tuition reimbursement, to support your growth - The technology and tools you need to do your best work - Motivosity employee recognition program - A culture rooted in inclusivity, support, and meaningful connection We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes. Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate. All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws. Any attempt to misrepresent personal or professional information will result in disqualification.", "summaryDescription" : "Decision Scientist at Instructure. Skills: Data science, Analytics, Machine learning, Experimentation. Support business impact through data-driven insights. Conduct analyses to improve product adoption", "postedDate" : "2026-06-11T20:53:25.048", "createdAt" : "2026-06-11T20:53:25.048", "lastUpdated" : "2026-06-14T21:05:18.602", "ingestTimestamp" : "2026-06-11T20:53:25.048", "mongoId" : "6a2a456b74d8ee00a05d2104", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Experimental design", "A/B testing", "Causal inference", "Data analysis", "Data manipulation", "Data visualization", "Model building", "Outcome tracking", "Data science", "Analytics", "Experimentation", "Product analytics", "EdTech", "SaaS", "Tableau", "PowerBI", "Snowflake", "Databricks", "Fivetran" ], "skillCount" : 21, "jobCategory" : "other", "jobSubcategory" : "general-&-administration", "dataQualityScore" : 1.0, "_score" : 530.042, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "EdTech" }, { "id" : "6a2caff674d8ee00a09d8585", "title" : "Lead Build Engineer, Avionics", "company" : "Mach Industries", "industry" : "Mach Vehicles", "salary" : { "min" : 145000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Huntington Beach, CA", "locations" : [ "Huntington Beach, CA" ], "timestamp" : "2026-06-15T09:44:21.899", "fingerprint" : "8bbd8dfbe3d0783ea31401bf8058945b5b135e720d12968d6073771c3d080191", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mach/d8ca34d6-ef72-485b-b7e6-08f22ac2e73e/application", "externalId" : "d8ca34d6-ef72-485b-b7e6-08f22ac2e73e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Huntington Beach", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6783336,-118.0000160" } ], "locationText" : "Huntington Beach, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Flight computers, Embedded electronics, Navigation systems, Communications systems, Power distribution systems, Sensors, Payload electronics, PCBAs, Wire harnesses, Electrical integration, RF systems, Telemetry systems, Mission communications", "professionalSkills" : [ "Build engineering", "Manufacturing strategies", "Assembly processes", "Test methodologies", "DFM", "DFT", "DFA", "BOM maturity", "Tooling requirements", "Production planning", "Test equipment readiness", "Root cause analysis", "Corrective actions", "Manufacturing readiness", "Production gate reviews", "Acceptance testing", "Validation processes", "Supplier engagement", "Qualification testing", "Environmental testing", "Flight test", "Yield analysis", "Reliability analysis", "Cycle time analysis", "Production performance", "High-rate production" ], "hardSkillsList" : [ "Hardware integration", "Electrical systems knowledge" ], "hardSkills" : [ { "name" : "Hardware integration", "level" : "intermediate" }, { "name" : "Electrical systems knowledge", "level" : "intermediate" } ], "majorSkills" : "Avionics systems, Build engineering, Manufacturing processes", "majorSkillsList" : [ "Avionics systems", "Build engineering", "Manufacturing processes" ], "coreResponsibilities" : "Serve as primary manufacturing and build engineering owner, Drive avionics hardware from development through qualification and, Partner with Electrical Engineering, Software Engineering, Flight Test,, Develop manufacturing strategies, assembly processes, work instructions, and, Lead DFM, DFT, and DFA efforts during product, Own avionics integration readiness, Identify and resolve production issues through root cause, Develop and execute manufacturing readiness reviews and production, Design and deploy production test systems, acceptance testing, Drive supplier engagement for PCBAs, wire harnesses, electrical, Support qualification testing, environmental testing, and flight test, Analyze yield, reliability, cycle time, and production performance, Work directly on the production floor supporting technicians, Help establish scalable avionics manufacturing processes capable of", "teamCollaboration" : "Cross-functional teams; Electrical Engineering; Software Engineering; Flight Test; Supply Chain; Quality; Production teams", "projectManagementSkills" : [ "Project execution" ], "domainKnowledge" : "Avionics systems; Autonomous defense platforms; Defense technology; National security; PCBAs; Wire harnesses; Electromechanical assemblies; RF systems; Telemetry systems; Mission communications", "domainList" : [ "avionics-systems", "autonomous-defense-platforms", "defense-technology", "national-security", "pcbas", "wire-harnesses", "electromechanical-assemblies", "rf-systems", "telemetry-systems", "mission-communications" ], "domainSpecificKnowledge" : [ "Avionics systems", "Autonomous defense platforms", "Defense technology", "National security", "PCBAs", "Wire harnesses", "Electromechanical assemblies", "RF systems", "Telemetry systems", "Mission communications" ], "communicationSkills" : "Cross-functional communication", "documentationSkills" : "Work instructions", "problemSolvingSkills" : "Root cause analysis; Troubleshoot hardware issues", "specialRequirements" : "Access to information protected under U.S. export control laws and regulations, Authorization to receive software or technology controlled under U.S. export control laws and regulations without sponsorship for an export license, Authorized to work in the U.S", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or related technical discipline, 3+ years of experience developing, integrating, manufacturing, or testing complex avionics systems, Experience with flight computers, Experience with embedded electronics, Experience with navigation systems, Experience with communications systems, Experience with power distribution systems, Experience with sensors and payload electronics, Experience supporting hardware through development, qualification, and production, Understanding of PCBAs, wire harnesses, connectors, and electrical integration practices, Experience developing manufacturing processes and production test systems, Demonstrated ability to troubleshoot hardware issues in a fast-paced environment, Excellent cross-functional communication and project execution skills", "qualificationsPreferred" : "Experience developing avionics for aerospace, autonomous systems, defense, launch vehicles, satellites, robotics, or automotive products, Experience with environmental qualification testing and flight hardware certification, Experience with production test equipment, hardware-in-the-loop testing, and automated acceptance testing, Familiarity with RF systems, Familiarity with telemetry systems, Familiarity with mission communications hardware, Experience with MES, Experience with ERP, Experience with digital manufacturing systems, Experience scaling products from prototype builds to sustained production", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT MACH INDUSTRIES Founded in 2022, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 220 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. THE ROLE Mach Industries is seeking a Lead Build Engineer focused on Avionics to drive the successful development, integration, manufacturing, and scaling of avionics systems across our unmanned platforms. This role sits at the intersection of engineering, production, supply chain, and test. You will own the execution of avionics hardware from initial design release through production deployment, ensuring designs are manufacturable, testable, reliable, and capable of scaling to volume production. The ideal candidate combines strong electrical systems knowledge with hands-on hardware integration experience and a passion for building products in a fast-paced development environment. KEY RESPONSIBILITIES - Serve as the primary manufacturing and build engineering owner for avionics systems across multiple products. - Drive avionics hardware from development through qualification and production. - Partner closely with Electrical Engineering, Software Engineering, Flight Test, Supply Chain, Quality, and Production teams. - Develop manufacturing strategies, assembly processes, work instructions, and test methodologies for avionics hardware. - Lead design-for-manufacturing (DFM), design-for-test (DFT), and design-for-assembly (DFA) efforts during product development. - Own avionics integration readiness, including BOM maturity, documentation release, tooling requirements, production planning, and test equipment readiness. - Identify and resolve production issues through root cause analysis and corrective actions. - Develop and execute manufacturing readiness reviews and production gate reviews. - Design and deploy production test systems, acceptance testing strategies, and avionics validation processes. - Drive supplier engagement for PCBAs, wire harnesses, electrical components, and electromechanical assemblies. - Support qualification testing, environmental testing, and flight test campaigns. - Analyze yield, reliability, cycle time, and production performance data to improve manufacturing outcomes. - Work directly on the production floor supporting technicians and operators during builds and integration activities. - Help establish scalable avionics manufacturing processes capable of supporting high-rate production. REQUIRED QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or related technical discipline. - 3+ years of experience developing, integrating, manufacturing, or testing complex avionics systems. - Experience with one or more of the following: - Flight computers - Embedded electronics - Navigation systems - Communications systems - Power distribution systems - Sensors and payload electronics - Experience supporting hardware through development, qualification, and production. - Strong understanding of PCBAs, wire harnesses, connectors, and electrical integration practices. - Experience developing manufacturing processes and production test systems. - Demonstrated ability to troubleshoot hardware issues in a fast-paced environment. - Excellent cross-functional communication and project execution skills. PREFERRED QUALIFICATIONS - Experience developing avionics for aerospace, autonomous systems, defense, launch vehicles, satellites, robotics, or automotive products. - Experience with environmental qualification testing and flight hardware certification. - Experience with production test equipment, hardware-in-the-loop testing, and automated acceptance testing. - Familiarity with RF systems, telemetry systems, or mission communications hardware. - Experience with MES, ERP, or digital manufacturing systems. - Experience scaling products from prototype builds to sustained production. Disclosures This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license. Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach’s total compensation package. Mach offers benefits such as health insurance, retirement plans, and opportunities for professional development. Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws. If you’d like to defend the American way of life, please reach out!", "summaryDescription" : "Lead Build Engineer, Avionics at Mach Industries. Skills: Avionics systems, Build engineering, Manufacturing processes. Serve as primary manufacturing and build engineering owner. Drive avionics hardware from development through qualification and", "createdAt" : "2026-06-14T04:14:07.569", "lastUpdated" : "2026-06-15T09:44:21.899", "ingestTimestamp" : "2026-06-14T04:14:07.569", "mongoId" : "6a2caff674d8ee00a09d8585", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Hardware integration", "Electrical systems knowledge", "Avionics systems", "Build engineering", "Manufacturing processes", "Manufacturing strategies", "Assembly processes", "Test methodologies", "DFM", "DFT", "DFA", "BOM maturity", "Tooling requirements", "Production planning", "Test equipment readiness", "Root cause analysis", "Corrective actions", "Manufacturing readiness", "Production gate reviews", "Acceptance testing", "Validation processes", "Supplier engagement", "Qualification testing", "Environmental testing", "Flight test", "Yield analysis", "Reliability analysis", "Cycle time analysis", "Production performance", "High-rate production", "Project execution", "Autonomous defense platforms", "Defense technology", "National security", "PCBAs", "Wire harnesses", "Electromechanical assemblies", "RF systems", "Telemetry systems", "Mission communications" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 527.638, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense", "llmIndustryConfidence" : 0.98 }, { "id" : "69ec67ea4c40e2acd1caf0b2", "title" : "Pizza Maker / Line Cook", "company" : "Andolini's", "industry" : "Food & Beverage", "salary" : { "min" : 31000.0, "max" : 42000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an entry-level Pizza Maker / Line Cook in Owasso, United States, with adjustments for the food and beverage industry and full-time employment." }, "location" : "Owasso, OK", "locations" : [ "Owasso", "OK" ], "timestamp" : "2026-06-15T09:05:50.794", "fingerprint" : "1f7568a375b2930c31302df961260f4b8fdcc01c98caf0192445e4b3cb8ecc54", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://andolini-s-llc.breezy.hr/p/5d1929838d8e-pizza-maker-line-cook-andolini-s-owasso", "externalId" : "5d1929838d8e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Owasso", "state" : "Oklahoma", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.2659698,-95.8548557" } ], "locationText" : "Owasso, Oklahoma, United States", "coreResponsibilities" : "Make pizza, Work on the line", "workSiteFlexibility" : "Onsite", "rawDescription" : "Hey do you like pizza? Do you like MAKING pizza? SO DO WE! Andolini", "summaryDescription" : "Pizza Maker / Line Cook at Andolini's. Make pizza. Work on the line", "createdAt" : "2026-06-14T05:15:03.947", "lastUpdated" : "2026-06-15T09:05:50.794", "ingestTimestamp" : "2026-06-14T05:15:03.947", "mongoId" : "69ec67ea4c40e2acd1caf0b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 42000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "_score" : 524.73004, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.85 }, { "id" : "6a305981f292fd229cf484fc", "title" : "Commercial Relationship Manager", "company" : "Alphabe Insight Inc", "industry" : "Consumer Services", "salary" : { "min" : 52000.0, "max" : 56000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Houston, TX, United States", "locations" : [ "Houston", "TX", "United States" ], "timestamp" : "2026-06-16T10:30:40.562", "fingerprint" : "633168aa5098a677f31131901e2e93a738c5927443b4fbeb6aa809d37c72e4a2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AlphabeInsightInc/744000132070389-commercial-relationship-manager", "externalId" : "744000132070389", "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" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Office software", "professionalSkills" : [ "Client engagement", "Service delivery", "Relationship management", "Business development", "Commercial growth" ], "hardSkillsList" : [ "Account support", "Record maintenance", "Documentation" ], "hardSkills" : [ { "name" : "Account support", "level" : "intermediate" }, { "name" : "Record maintenance", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" } ], "majorSkills" : "Client relationship management, Customer satisfaction, Organizational growth", "majorSkillsList" : [ "Client relationship management", "Customer satisfaction", "Organizational growth" ], "coreResponsibilities" : "Build and maintain professional relationships, Serve as primary contact, Identify opportunities to strengthen client engagement, Identify opportunities to strengthen client retention, Collaborate with internal departments, Ensure seamless service delivery, Assist in developing relationship management strategies, Assist in implementing relationship management strategies, Monitor client feedback, Recommend improvements to enhance satisfaction, Prepare reports, Prepare presentations, Prepare account updates, Support business development initiatives, Support commercial growth objectives, Maintain accurate records, Maintain documentation related to client interactions, Contribute to a positive team environment, Contribute to a professional team environment", "teamCollaboration" : "Internal departments; Positive team environment; Professional team environment", "domainKnowledge" : "Commercial relationship management; Business strategy", "domainList" : [ "commercial-relationship-management", "business-strategy" ], "domainSpecificKnowledge" : [ "Commercial relationship management", "Business strategy" ], "communicationSkills" : "Verbal communication; Written communication; Client communication", "continuousLearning" : "Professional growth opportunities; Comprehensive training; Ongoing development programs; Develop new skills; Grow professionally", "problemSolvingSkills" : "Problem-solving mindset", "outcomesObjectives" : "Enhance customer satisfaction; Support organizational growth; Ensure seamless service delivery; Enhance client retention; Enhance satisfaction", "qualificationsBasic" : "Interpersonal and relationship-building skills, Excellent verbal and written communication abilities, Professional and client-focused approach, Organizational and time-management skills, Ability to manage multiple priorities, Problem-solving mindset, Proficiency with business technology, Ability to work independently, Ability to work collaboratively, Eagerness to learn, Eagerness to develop new skills, Eagerness to grow professionally", "qualificationsPreferred" : "Attention to detail", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Swift7 Consultants, we are committed to delivering exceptional service and creating positive experiences for both our clients and customers. We believe that great teams are built through collaboration, professionalism, and a dedication to excellence. As we continue to grow, we are looking for motivated individuals who are passionate about customer service and eager to build a rewarding career in retail As a Commercial Relationship Manager, you will serve as a key point of contact for clients and business partners, helping maintain strong relationships while identifying opportunities to enhance customer satisfaction and support organizational growth. You will work closely with internal teams to ensure client needs are met and business objectives are achieved. Responsibilities * Build and maintain strong professional relationships with clients and business partners. * Serve as a primary contact for client inquiries and account support. * Identify opportunities to strengthen client engagement and retention. * Collaborate with internal departments to ensure seamless service delivery. * Assist in developing and implementing relationship management strategies. * Monitor client feedback and recommend improvements to enhance satisfaction. * Prepare reports, presentations, and account updates as needed. * Support business development initiatives and commercial growth objectives. * Maintain accurate records and documentation related to client interactions. * Contribute to a positive and professional team environment. ## Qualifications * Strong interpersonal and relationship-building skills. * Excellent verbal and written communication abilities. * Professional and client-focused approach. * Strong organizational and time-management skills. * Ability to manage multiple priorities in a fast-paced environment. * Problem-solving mindset with strong attention to detail. * Proficiency with business technology and office software. * Ability to work both independently and collaboratively. * Eagerness to learn, develop new skills, and grow professionally. ## Additional Information * Competitive salary ($52,000 – $56,000 annually). * Career advancement and professional growth opportunities. * Comprehensive training and ongoing development programs. * Collaborative and supportive work environment. * Exposure to commercial relationship management and business strategy. * Opportunity to develop leadership, communication, and client management skills. * Performance-driven culture that recognizes achievement. * Full-time, stable employment with long-term career potential.", "summaryDescription" : "Commercial Relationship Manager at Alphabe Insight Inc. Skills: Client relationship management, Customer satisfaction, Organizational growth. Build and maintain professional relationships. Serve as primary contact", "postedDate" : "2026-06-14T13:45:22.000", "createdAt" : "2026-06-16T00:15:06.943", "lastUpdated" : "2026-06-16T10:30:40.562", "ingestTimestamp" : "2026-06-16T00:15:06.943", "mongoId" : "6a305981f292fd229cf484fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 56000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Account support", "Record maintenance", "Documentation", "Client relationship management", "Customer satisfaction", "Organizational growth", "Client engagement", "Service delivery", "Relationship management", "Business development", "Commercial growth", "Commercial relationship management", "Business strategy" ], "skillCount" : 13, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 520.23865, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.92 }, { "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" : 505.73666, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291c58b93c861e95a285", "title" : "Senior Structural Engineer- Buildings", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Structural Engineer in Bozeman, United States, adjusted for seniority and industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "certifications" : [ "Professional Engineer (PE or P. Eng) license" ], "timestamp" : "2026-06-16T01:53:25.506", "fingerprint" : "c5bed52540e407f2abd5d4d42ef026edba049f75d65e5c497b1925cc065045c5", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=769589", "externalId" : "769589", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bozeman", "state" : "Montana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.6794293,-111.0440470" } ], "locationText" : "Bozeman, Montana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Microsoft Office, AutoCAD, RAM, ETABS, SAFE", "professionalSkills" : [ "Structural engineering", "Building design" ], "hardSkillsList" : [ "Design calculations", "Detailing" ], "hardSkills" : [ { "name" : "Design calculations", "level" : "intermediate" }, { "name" : "Detailing", "level" : "intermediate" } ], "majorSkills" : "Structural engineering, Building design", "majorSkillsList" : [ "Structural engineering", "Building design" ], "coreResponsibilities" : "Design building structures, Detail structural elements, Perform structural analysis", "domainKnowledge" : "Building design; Gravity analysis; Lateral analysis", "domainList" : [ "building-design", "gravity-analysis", "lateral-analysis" ], "domainSpecificKnowledge" : [ "Building design", "Gravity analysis", "Lateral analysis" ], "toolProficiency" : [ "Microsoft Office", "AutoCAD", "RAM", "ETABS", "SAFE" ], "qualificationsBasic" : "Bachelor's degree in Civil or Structural Engineering, Minimum 10 years structural engineering experience, Professional engineering license, Experience in design calculations and layouts, Ability to design and detail in steel, concrete, masonry and wood, Understanding of gravity analysis and lateral analysis, Previous experience with an architectural/engineering or engineering consulting firm, Active participant of employee-owned culture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in Civil or Structural Engineering A minimum of 10 years structural engineering experience as it relates to building design Requires professional engineering license recognized by the licensing board for the location of the position offered. Example: Professional Engineer (PE or P.Eng) license. Microsoft Office, AutoCAD, RAM, ETABS, SAFE or similar analytical software Experience in design calculations and layouts Ability to design and detail in steel, concrete, masonry and wood Requires understanding of gravity analysis and lateral analysis Previous experience with an architectural/engineering or engineering consulting firm An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Montana-Bozeman", "summaryDescription" : "Senior Structural Engineer- Buildings at HDR. Skills: Structural engineering, Building design. Design building structures. Detail structural elements", "createdAt" : "2026-06-14T20:43:16.987", "lastUpdated" : "2026-06-16T01:53:25.506", "ingestTimestamp" : "2026-06-14T20:43:16.987", "mongoId" : "6a16291c58b93c861e95a285", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Design calculations", "Detailing", "Structural engineering", "Building design", "Gravity analysis", "Lateral analysis", "Professional Engineer (PE or P. 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Our unique, robust model of care goes beyond primary care services — our multidisciplinary care teams collaborate with patients, their families and other healthcare providers to deliver care that is preventative, proactive and tailored to their unique needs. Using an evidence-based approach focused on quality care management and data-driven medical decisions, Bluestone care teams collaborate to manage patients’ chronic conditions, address social determinants of health, manage transitions to and from inpatient settings, provide behavioral health support and more. Under our model of care, Bluestone patients experienced 21% fewer ER visits, 36% fewer hospitalizations and 41% fewer hospital readmissions compared to patients with similar conditions and complexities over the same time period. Our care teams travel directly to patients who reside in Assisted Living, Memory Care and Group Home communities throughout Minnesota, Wisconsin and Florida and are supported by clinical operations and administrative colleagues who work remotely or at our corporate offices in Stillwater, Minnesota, and Tampa, Florida. Our success is only possible through the hard work of our employees who bring our core values of Dedication, Excellence, Collaboration and Caring to life every day. Bluestone has been named to the Star Tribune's Top Workplace list for the 13th year in a row! Bluestone also achieved Top Workplace USA 2021-2025! In 2022, Bluestone Accountable Care Organization (ACO) was the best performing ACO in the country as measured by the overall savings per Medicare beneficiary. Position Overview: The Senior Living Relationship Manager will assist in growing Bluestone’s business in their assigned territory to meet organizational objectives through a variety of outreach activities. This role will be responsible for facilitating company growth and success by promoting a positive identity for the company. They will leverage opportunities through live value proposition delivery, networking, building community relationships, distributing promotional materials, and personally visiting potential new partners. In addition to fostering relationships with external stakeholders, the Senior Living Relationship Manager will work closely with internal stakeholders to coordinate future business with internal resources. This position reports to the Director of Business Development and works collaboratively with their peers to expand the brand in their respective market. Schedule: Full time position. Successful candidate will be in the field at least 3-4 days per week, 1-2 days remote (work from home). Territory: Sarasota & Bradenton, FL Territory Salary: $75,000 - $85,000. Base salary will be commensurate with experience. Other Compensation: Territory Manager Sales Compensation Plan Responsibilities: Accountable for meeting assigned growth goals through value proposition presentations, customer satisfaction, identifying opportunities to improve, and implementing solutions to achieve growth objectives Provide leadership and creative thinking through effective planning and decision making to achieve company targets in assigned region Develop comprehensive understanding of competitive environment and articulate company value proposition Manage complex schedule and modifications based on new and existing buildings, patient growth, and new providers joining the team Record activities in customer relationship management software, as well as be a savvy user of other Bluestone technology platforms RMs are expected to be actively in the field executing efforts to grow the business for 90% of every business day. 10% should be dedicated to daily administrative tasks. Up to 80% travel within the local territory is required for this position. Qualifications: Education/Certification/Experience Documented previous sales success Bachelor’s degree in business, finance, health care administration and experience in clinic operations and/or care delivery Experience in a healthcare organization preferred Customer service and quality related positions a plus Senior Living experience preferred Valid driver’s license required Knowledge/Skills/Abilities Knowledge and experience with Assisted Living and Memory Care communities a plus Ability to work independently with excellent time-management and organizational skills Ability to maintain professional relationships with patients and other members of the care team Ability to communicate effectively and professionally, both verbally and in writing, with diverse populations Intermediate-level computer proficiency with email, fax, word processing, spreadsheets, and databases Excellent customer service skills Demonstrated compatibility with Bluestone’s mission and operating philosophies Demonstrated ability to read, write, speak, and understand the English language Bluestone Benefits: Health Insurance Dental Insurance Vision Materials Insurance Company paid Life Insurance Company paid Short and Long-term Disability Health Savings Account (with employer contribution) Flexible Spending Account (FSA) Retirement plan with 4% matching contributions Ten days (10) paid holidays for office closures Three weeks (15 Days) Paid Time Off (PTO) Mileage reimbursement program for field employees Company sponsored cell phone, laptop and computer accessories Regular business hours Pay Transparency $75,000—$85,000 USD", "summaryDescription" : "Senior Living Relationship Manager at Bluestone Physician Services. 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Build Your Future. Catamount builds the spaces communities depend on every day. From distribution centers that keep goods moving and medical facilities that provide critical care, to housing, restaurants, and fire stations serving local neighborhoods, our work supports real life. As a best-in-class, 100% employee-owned general contractor with a national reach, we complete projects across diverse markets and regions. This diversity empowers us, keeps our teams moving forward, and creates long-term opportunities for the people shaping our company. Why choose Catamount? We’re financially stable, growing, and built for the long haul. Our extensive national backlog and diverse project types provide stability, momentum, and opportunities. At Catamount, careers advance. Employee-owners can grow, move between project types and markets, and build long-term careers without starting over. Teams are carefully staffed, work-life balance is prioritized, and our people are seen as long-term assets. Diverse work. Real stability. Shared success. Position Overview: Our Superintendents are the “boots on the ground”. They are responsible for ensuring that the project progresses according to plan and Owner specifications, in conjunction with the Project Manager, Architects and Owners. They supervise and coordinate the daily activities of construction workers, contractors, sub-contractors and Assistant Superintendents. They lead every step of the way, and when the project is complete they can truly say, “I built that”. Role life insurance; short- and long-term disability coverage; an Employee Assistance Program (EAP); a 401(k); an ESOP; a generous VacationFlex program; paid sick time; and optional programs such as pet insurance and AFLAC accident, critical illness, and hospital policies. Please refer to the Summary Plan Descriptions for eligibility requirements and additional details. Catamount Constructors Incorporated does not accept unsolicited resumes from agencies or recruiting firms. Any resume submitted to any employee of Catamount without a prior executed agreement will be considered unsolicited and the property of Catamount Constructors Incorporated. Recruiting agencies - thank you for not calling or emailing. Our Commitment to an Inclusive Workplace: Catamount Constructors, Inc. is proud to be an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. Employment decisions are based on business needs, job requirements and individual qualifications, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.", "summaryDescription" : "Superintendent (Build-to-Rent & Multifamily) at Catamount Constructors. Skills: Build-to-Rent, Multifamily construction. Ensure project progresses. Supervise daily activities", "postedDate" : "2026-06-14T04:05:04.399", "createdAt" : "2026-06-14T04:05:04.399", "lastUpdated" : "2026-06-15T08:52:18.386", "ingestTimestamp" : "2026-06-14T04:05:04.399", "mongoId" : "6a2c7fe574d8ee00a0956cc4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Build-to-Rent", "Multifamily construction", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Build-to-Rent construction" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 499.18707, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa5d7", "title" : "Senior Territory Manager", "industry" : "Business Development", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Territory Manager in India, adjusted for seniority, industry, and city tier." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T14:58:37.966", "fingerprint" : "36781d4d9624338fbe7828c6f272433caf9abfc92416b4bbe68fa52dbf7a8048", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f5bd9dc9-051b-4a2e-addc-fa47a945b8e8/apply", "externalId" : "f5bd9dc9-051b-4a2e-addc-fa47a945b8e8", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Territory management", "Sales target achievement" ], "hardSkillsList" : [ "Clinical expertise", "Product expertise" ], "softSkillsList" : [ "Negotiation", "Presentation" ], "hardSkills" : [ { "name" : "Clinical expertise", "level" : "intermediate" }, { "name" : "Product expertise", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" }, { "name" : "Presentation" } ], "majorSkills" : "Medical device sales, Territory management, Relationship building", "majorSkillsList" : [ "Medical device sales", "Territory management", "Relationship building" ], "coreResponsibilities" : "Serve as primary point of contact, Build, develop, and maintain relationships, Identify, develop, and close new business, Expand market share, Develop and execute annual territory plans, Provide clinical and product expertise, Influence customer purchasing decisions, Monitor market trends, Refine sales strategies", "teamCollaboration" : "Healthcare stakeholders; Hospital stakeholders", "domainKnowledge" : "Cardiovascular anatomy; Cardiovascular physiology; Structural heart therapies; Medical device applications", "domainList" : [ "cardiovascular-anatomy", "cardiovascular-physiology", "structural-heart-therapies", "medical-device-applications" ], "domainSpecificKnowledge" : [ "Cardiovascular anatomy", "Cardiovascular physiology", "Structural heart therapies", "Medical device applications" ], "communicationSkills" : "Value-based discussions; Strategic engagement", "continuousLearning" : "Continuous training on clinical products; Advanced medical solutions training", "specialRequirements" : "Field-based environments", "outcomesObjectives" : "Achieve sales targets", "qualificationsBasic" : "Bachelor’s degree in Life Sciences, 5+ years medical device sales, Understanding cardiovascular anatomy, Proven ability to build relationships, Commercial acumen, Territory management experience, Sales target achievement", "qualificationsPreferred" : "Surgical or cardiovascular markets experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Serve as the primary point of contact for customers within the assigned territory in the structural heart and surgical business area Build, develop, and maintain strong relationships with surgeons, physicians, hospital stakeholders, and key influencers Identify, develop, and close new business opportunities while expanding market share in the assigned region Develop and execute annual territory plans aligned with sales targets and business objectives Provide clinical and product expertise on cardiovascular anatomy, pathology, and relevant medical device applications Influence customer purchasing decisions through tailored value-based discussions and strategic engagement Monitor market trends, customer needs, and competitor activity to refine sales strategies and execution Requirements: Bachelor’s degree in Life Sciences, Medical, Biomedical, or related field 5+ years of progressive experience in medical device sales, preferably within surgical or cardiovascular markets Strong understanding of cardiovascular anatomy, physiology, and structural heart therapies Proven ability to build relationships and influence complex healthcare stakeholders Strong commercial acumen with experience in territory management and sales target achievement Excellent communication, negotiation, and presentation skills Ability to work in fast-paced, field-based environments with strong organizational discipline Benefits: Competitive compensation package with performance-based incentives Opportunity to work with cutting-edge cardiovascular and surgical technologies Career development within a global leader in medical innovation Continuous training on clinical products and advanced medical solutions Strong exposure to leading healthcare professionals and hospital networks Dynamic, field-based role with high autonomy and impact ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Territory Manager. Skills: Medical device sales, Territory management, Relationship building. Serve as primary point of contact. Build, develop, and maintain relationships", "postedDate" : "2026-06-15T06:19:21.028", "createdAt" : "2026-06-15T06:19:21.028", "lastUpdated" : "2026-06-16T14:58:37.966", "ingestTimestamp" : "2026-06-16T03:23:42.755", "mongoId" : "6a30511af292fd229cefa5d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Clinical expertise", "Product expertise", "Negotiation", "Presentation", "Medical device sales", "Territory management", "Relationship building", "Sales target achievement", "Cardiovascular anatomy", "Cardiovascular physiology", "Structural heart therapies", "Medical device applications" ], "skillCount" : 12, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 498.5785, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a30564bf292fd229cf26f86", "title" : "Business Analyst - Decision Platform, RBS Company", "company" : "ADCI", "industry" : "Business Intelligence, Planning/Development, Retail", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Analyst in the Technology industry in Bengaluru, India, adjusted for company size and specific role." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-16T07:03:53.440", "fingerprint" : "ee24e8e14b7631d7165ede7b1508cfc4ecca06797693cd301ce01a6702d772eb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448622/apply", "externalId" : "437c3246-c3ea-47f3-a09b-57992eb606d0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Excel, VBA, AWS, S3, Lambda, Athena", "professionalSkills" : [ "Business analysis", "Data analysis", "Descriptive analysis", "Metric definition" ], "hardSkillsList" : [ "Data transformation", "Metric calculation", "Process flow analysis" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Metric calculation", "level" : "intermediate" }, { "name" : "Process flow analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis, SQL, Business intelligence", "majorSkillsList" : [ "Data analysis", "SQL", "Business intelligence" ], "coreResponsibilities" : "Support team by solving complex business problems, Extract and transform data, Deliver findings to help team make informed decisions, Execute tasks independently, Pull data from varied sources, Apply basic transformations, Produce descriptive analyses, Document analytical approach clearly, Automate repetitive manual work, Help train new peers, Tailor communication to different audiences, Own production and delivery of reports, Create, support, and improve reports and metrics, Convert data into digestible business intelligence, Shape and deliver key metrics, reports, and indicators, Dive deep into large data sets, Answer specific business questions, Present findings to leadership, Support business teams to utilize metrics and analysis, Determine improvement opportunities", "teamCollaboration" : "Work with platform tech and business; Work with applied science; Work with engineering; Work with PgMs; Work with tenant-side stakeholders", "domainKnowledge" : "Decisioning platform; Rule-based systems; Outcome-learning systems; Context-aware systems", "domainList" : [ "decisioning-platform", "rule-based-systems", "outcome-learning-systems", "context-aware-systems" ], "domainSpecificKnowledge" : [ "Decisioning platform", "Rule-based systems", "Outcome-learning systems", "Context-aware systems" ], "toolProficiency" : [ "Excel", "VBA", "Tableau", "Quicksight" ], "communicationSkills" : "Tailor communication", "documentationSkills" : "Document analytical approach", "continuousLearning" : "Learn to tailor communication", "problemSolvingSkills" : "Solving complex business problems; Draw business insights", "outcomesObjectives" : "Deliver findings that help team make informed decisions; Produce descriptive analyses that provide visibility into business performance; Highlight anomalies; Ensure tenant data foundation needed to succeed; Deliver analytical backbone; Turn raw data into confident launch decisions", "qualificationsBasic" : "Experience with SQL, Bachelor's degree or equivalent, Experience defining requirements, Using data and metrics to draw business insights", "qualificationsPreferred" : "Experience working with Tableau, Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are building Amazon's first horizontal self-serve decisioning platform — an intelligence layer that upgrades static rule-based systems into outcome-learning, context-aware decision engines. The platform serves multiple tenants across multiple organizations and domains, each requiring structured onboarding, cross-org coordination, and production launch governance. We are looking for a Business Analyst who will support the team by solving complex business problems through data analysis across multiple projects. This role is tactical — you'll take defined business questions, extract and transform data using SQL and spreadsheets, and deliver findings that help the team make informed decisions. You'll execute tasks independently with guidance from leadership. You'll be responsible for pulling data from varied sources, applying basic transformations (aggregations, metric ratios, if-then logic), and producing descriptive analyses — pivots, groupings, and process flows — that provide visibility into business performance and highlight anomalies. You'll document your analytical approach clearly, so your work is replicable by others on the team. You'll automate repetitive manual work, help train new peers, and learn to tailor your communication to different audiences. This role offers the opportunity to build solid analytical skills on a high-impact platform team, contributing directly to decisions that shape how Amazon's decision systems operate at scale. Key job responsibilities The candidate will own the production and delivery of a suite of reports, tools regularly used by the organization to make key business decisions. This will involve: 1. Creating, supporting and continuously improving reports and metrics that support the business operations 2. Converting data into digestible business intelligence and actionable information using tools like Quicksight/Tableau 3. Shaping and delivering key metrics, reports, and indicators by which business can assess its performance 4. Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages and present findings to leadership 5. Support business teams to utilize metrics and analysis to determine improvement opportunities Tools used include: 1. SQL (Redshift) 2. Excel Advanced VBA 3. Tableau/Quicksight 4. Report scheduling tools (internal) 5. AWS (S3, Lambda, Athena) About the team We operate at the intersection of product, science, and GTM — building a platform that connects decision systems across Amazon so that one signal makes all of them smarter. The platform is live with founding tenants, scaling to broad GA, and building pipeline for pan-Amazon adoption. This role is critical to ensuring that every tenant moving through the funnel has the data foundation needed to succeed. You will work directly with platform tech and business (applied science, engineering, PgMs, and tenant-side stakeholders) to deliver the analytical backbone — data readiness assessments, performance reporting, metric tracking, and business intelligence — that turns raw data into confident launch decisions, one tenant at a time, then many in parallel. Basic Qualifications: - Experience with SQL or ETL - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights Preferred Qualifications: - Experience working with Tableau - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Analyst - Decision Platform, RBS Company at ADCI. Skills: Data analysis, SQL, Business intelligence. Support team by solving complex business problems. Extract and transform data", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:59:42.319", "lastUpdated" : "2026-06-16T07:03:53.440", "ingestTimestamp" : "2026-06-15T21:59:42.319", "mongoId" : "6a30564bf292fd229cf26f86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448622/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data transformation", "Metric calculation", "Process flow analysis", "Data analysis", "SQL", "Business intelligence", "Business analysis", "Descriptive analysis", "Metric definition", "Decisioning platform", "Rule-based systems", "Outcome-learning systems", "Context-aware systems", "Excel", "VBA", "Tableau", "Quicksight" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 496.87012, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e3ce260f92cbf8eaef", "title" : "Senior Financial Analyst, Alexa and AGI Finance - Insights, Planning, Econometrics, Decision (IPED)", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 60200.0, "max" : 128800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "CPA" ], "timestamp" : "2026-06-15T04:18:33.010", "fingerprint" : "432289d70da51e5b952c389f0edd751eeff63254efcd35fcf67027989db34d2e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100130/apply", "externalId" : "e2017249-5ee4-4213-8e54-8e19e6bc40d1", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL", "professionalSkills" : [ "Financial forecasting", "Financial planning", "Variance analysis", "Cost allocations", "Business metrics", "Infrastructure efficiency" ], "hardSkillsList" : [ "Financial modeling", "Data analysis" ], "softSkillsList" : [ "Analytical", "Creative", "Learning" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Creative" }, { "name" : "Learning" } ], "majorSkills" : "Financial analysis, Forecasting, Planning", "majorSkillsList" : [ "Financial analysis", "Forecasting", "Planning" ], "coreResponsibilities" : "Lead financial forecasting, Lead financial planning, Build financial reports, Build financial models, Build variance analysis, Build cost allocations, Measure operational metrics, Measure business metrics, Establish controls, Provide recommendations, Present financial summaries, Present business insights", "teamCollaboration" : "Multiple stakeholders; Business leadership teams; Finance leadership teams; Cross-organizational teams", "domainKnowledge" : "AWS cloud infrastructure; Econometrics", "domainList" : [ "aws-cloud-infrastructure", "econometrics" ], "domainSpecificKnowledge" : [ "AWS cloud infrastructure", "Econometrics" ], "toolProficiency" : [ "SQL" ], "communicationSkills" : "Presenting financial summaries; Presenting business insights", "continuousLearning" : "Continuously learn", "problemSolvingSkills" : "Analytical", "outcomesObjectives" : "Inform investment decisions; Inform strategic decision making", "qualificationsBasic" : "Bachelor's degree in finance, 3+ years tax experience, 3+ years finance experience, 3+ years analytical field experience, 3+ years building financial reports, 3+ years building operational reports, 3+ years building data sets, Experience working with stakeholders", "qualificationsPreferred" : "MBA preferred, CPA preferred, Advanced SQL for data mining, Advanced SQL for business intelligence", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon seeks an Senior Financial Analyst to play a key role on the Alexa and Artificial General Intelligence (AGI) Insights, Planning, Econometrics and Decision (IPED) finance team. This role will be responsible for driving broad insights that can shape the Alexa and AGI financial strategies, including the GAAP and econometric P&L used to inform short and long term investment decisions. The successful candidate will build scalable analyses, key performance indicators and insights. These insights will be shared with the Alexa and AGI Business and Finance Leadership teams to inform strategic decision making. This position will work closely with multiple stakeholders across the organization (e.g. Devices and Services FP&A, leaders within the Alexa and AGI Finance organizations, and cross-organizational business and finance teams) to align on critical inputs, ranges of outcomes, and confidence intervals. This is an exciting opportunity to join one of the most innovative and dynamic businesses. This role requires someone to be analytical, creative, detail oriented and eager to continuously learn. Key job responsibilities Key job responsibilities - Leading short and long-term financial forecasting and planning for AWS cloud infrastructure costs across AGI and Alexa - Building financial reports, models, variance analysis, and cost allocations - Measuring operational and business metrics - Establishing controls and providing recommendations for infrastructure efficiency - Presenting financial summaries and business insights to senior management Basic Qualifications: - Bachelor's degree in finance, accounting or related field - 3+ years of tax, finance or a related analytical field experience - 3+ years of building financial and operational reports/data sets that inform business decision-making experience - Experience working with stakeholders Preferred Qualifications: - MBA, or CPA - Experience with advanced use of SQL for data mining and business intelligence 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 $60,200/year in our lowest geographic market up to $128,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Financial Analyst, Alexa and AGI Finance - Insights, Planning, Econometrics, Decision (IPED) at Amazon.com Services LLC. Skills: Financial analysis, Forecasting, Planning. Lead financial forecasting. Lead financial planning", "postedDate" : "2026-06-13T12:40:22.932", "createdAt" : "2026-06-13T12:40:22.932", "lastUpdated" : "2026-06-15T04:18:33.010", "ingestTimestamp" : "2026-06-13T12:40:22.932", "mongoId" : "68e0a7e3ce260f92cbf8eaef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100130/apply", "salaryAnnualMin" : 60200, "salaryAnnualMax" : 128800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Data analysis", "Analytical", "Creative", "Learning", "Financial analysis", "Forecasting", "Planning", "Financial forecasting", "Financial planning", "Variance analysis", "Cost allocations", "Business metrics", "Infrastructure efficiency", "AWS cloud infrastructure", "Econometrics", "CPA", "SQL" ], "skillCount" : 18, "jobCategory" : "sales", "dataQualityScore" : 1.0, "_score" : 492.93448, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c8d7074d8ee00a0979006", "title" : "Senior Applied AI/ML Engineer, Claims Decisioning & Optimization", "company" : "Pivotal Health", "industry" : "Engineering", "salary" : { "min" : 200000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Lower Manhattan, NY", "locations" : [ "Lower Manhattan, NY", "Remote - NY", "Santa Monica, CA" ], "timestamp" : "2026-06-16T04:49:51.279", "fingerprint" : "f81e6dcbe383bc1a70b327faf4f3e2a85539c0cbfbbde901683cb565ad369ea0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/pivotal-health/1a80b520-dd6b-4d47-b44a-6059fd2a8709/application", "externalId" : "1a80b520-dd6b-4d47-b44a-6059fd2a8709", "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", "technicalSkills" : "Python, SQL, Machine Learning, AI, Data Engineering, Cloud Platforms, ML Frameworks, Spark, Databricks, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, SageMaker, Vertex AI, ML Studio, BigQuery, Redshift, Snowflake, Dbt", "professionalSkills" : [ "Applied AI", "Applied ML", "Decisioning", "Optimization", "Quantitative analysis", "Statistical modeling", "Data modeling", "System design" ], "hardSkillsList" : [ "Applied AI/ML", "Statistical modeling", "ML frameworks", "Data engineering", "Cloud platforms", "SQL optimization", "Model deployment", "Model monitoring" ], "hardSkills" : [ { "name" : "Applied AI/ML", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Cloud platforms", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" } ], "majorSkills" : "Applied AI/ML, Claims Decisioning, Optimization, Data Science, Machine Learning Engineering", "majorSkillsList" : [ "Applied AI/ML", "Claims Decisioning", "Optimization", "Data Science", "Machine Learning Engineering" ], "coreResponsibilities" : "Develop and deploy ML models, Design and implement AI solutions, Optimize decisioning processes, Build and maintain data pipelines, Collaborate with engineering teams, Conduct research on new ML techniques, Evaluate model performance, Ensure model scalability and reliability", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams", "domainKnowledge" : "Insurance claims; Healthcare data; Decisioning systems; Optimization algorithms", "domainList" : [ "insurance-claims", "healthcare-data", "decisioning-systems", "optimization-algorithms" ], "domainSpecificKnowledge" : [ "Insurance claims", "Healthcare data", "Decisioning systems", "Optimization algorithms" ], "toolProficiency" : [ "Python", "SQL", "ML frameworks", "Cloud platforms", "Spark", "Databricks", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "SageMaker", "Vertex AI", "ML Studio", "BigQuery", "Redshift", "Snowflake", "Dbt" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem-solving; Analytical skills", "outcomesObjectives" : "Improve claims decisioning accuracy; Optimize resource allocation; Enhance operational efficiency", "qualificationsBasic" : "5+ years of experience in applied AI/ML, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, Proficiency in Python, Experience with ML frameworks, Experience with cloud platforms, Experience with data engineering principles, Experience with SQL", "qualificationsPreferred" : "Master's or PhD in a quantitative field, Experience with large-scale data processing frameworks, Experience with MLOps practices, Experience with causal inference", "remoteFriendly" : true, "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 investing heavily in AI as a core strategic capability to transform healthcare operations. We are building intelligent systems that automate complex workflows, improve decision-making, and drive measurable business outcomes across the organization. As a Senior Applied AI/ML Engineer focused on the Offer Engine, you will design, build, and improve production AI systems that generate optimal, fair, and defensible offers for insurance claims. Reporting to the Head of AI/ML Engineering, you will work at the intersection of machine learning, software engineering, product workflows, and business strategy to solve complex decision-making problems at scale. This role is focused on applied AI engineering—not research in isolation. You will own systems end-to-end, from experimentation and model development to deployment, evaluation, and operational improvement. Your work will directly influence claim outcomes, negotiation workflows, and the quality of critical business decisions. We are looking for product-oriented engineers who thrive in ambiguous environments, move quickly from idea to execution, and are excited to build AI systems that create measurable impact. Whether your background is rooted in machine learning engineering, optimization, decision science, marketplace dynamics, or experimentation-heavy environments, success in this role comes from a strong bias toward shipping and continuous improvement. WHAT YOU'LL DO - Own and improve production AI systems. Design, deploy, and optimize AI/ML solutions that influence critical claims and negotiation workflows. - Build offer optimization models. Develop and improve models that generate optimal, fair, and explainable offers while balancing business objectives, customer outcomes, and operational constraints. - Develop AI-powered decisioning systems. Build and refine production workflows involving generation, retrieval, evaluation, orchestration, and automated decision-making. - Improve core product capabilities. Work on systems including position statement generation, offer engine enhancements, open negotiation agents, and configurable decisioning frameworks. - Design evaluation and experimentation frameworks. Create robust testing methodologies and experiments that improve model quality, workflow performance, and business outcomes. - Translate business problems into scalable systems. Partner with product, operations, and engineering teams to define success metrics and convert complex requirements into production-ready solutions. - Optimize model and workflow behavior. Improve prompts, retrieval strategies, model performance, and decisioning logic through continuous experimentation and feedback loops. - Drive engineering excellence. Contribute to architecture, observability, testing, rollout safety, and operational reliability across AI-powered systems. - Accelerate AI adoption across the organization. Leverage AI tools and best practices to improve team productivity and establish scalable AI-native ways of working. - Balance speed with rigor. Deliver impactful systems quickly while maintaining high standards for reliability, fairness, and maintainability. WHO YOU ARE - 5–8+ years of experience building software systems in production environments, with a strong track record of owning and delivering complex technical solutions. - Experience building and operating applied AI, machine learning, LLM, agentic, or decisioning systems in production. - Experience designing and interpreting experiments, evaluation frameworks, optimization loops, or performance measurement systems. - Strong software engineering background with Python and backend systems supporting production-scale AI applications. - Proven ability to translate complex operational requirements and real-world data into reliable, shipped products. - Experience working in domains where optimization, pricing, matching, decisioning, or marketplace dynamics are central to the business. - Product-oriented mindset with a demonstrated ability to navigate ambiguity, drive initiatives from concept through deployment, and deliver measurable business impact. - Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and operational teams. NICE TO HAVE - Proven success building optimization systems for pricing, bidding, negotiation, allocation, or equitable decision-making. - Understanding of marketplace dynamics and optimization-driven businesses such as ad tech, lending, credit decisioning, or revenue management. - Familiarity with explainable AI techniques and systems where fairness, transparency, and defensibility are critical considerations. - Knowledge of reinforcement learning, causal inference, mathematical optimization, or advanced experimentation methodologies. - Experience developing AI-powered negotiation, recommendation, or decision-support systems at scale. 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" : "Senior Applied AI/ML Engineer, Claims Decisioning & Optimization at Pivotal Health. Skills: Applied AI/ML, Claims Decisioning, Optimization, Data Science, Machine Learning Engineering. Develop and deploy ML models. Design and implement AI solutions", "createdAt" : "2026-06-14T20:12:05.923", "lastUpdated" : "2026-06-16T04:49:51.279", "ingestTimestamp" : "2026-06-14T20:12:05.923", "mongoId" : "6a2c8d7074d8ee00a0979006", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 225000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Applied AI/ML", "Statistical modeling", "ML frameworks", "Data engineering", "Cloud platforms", "SQL optimization", "Model deployment", "Model monitoring", "Claims Decisioning", "Optimization", "Data Science", "Machine Learning Engineering", "Applied AI", "Applied ML", "Decisioning", "Quantitative analysis", "Data modeling", "System design", "Insurance claims", "Healthcare data", "Decisioning systems", "Optimization algorithms", "Python", "SQL", "Spark", "Databricks", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "SageMaker", "Vertex AI", "ML Studio", "BigQuery", "Redshift", "Snowflake", "Dbt" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 485.49643, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca42e74d8ee00a09b08b9", "title" : "Senior Director, Strategic Solutions - Air Force", "company" : "C3 AI", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Dayton, Ohio, United States", "locations" : [ "Dayton", "Ohio", "United States", "Tysons", "Virginia", "United States" ], "timestamp" : "2026-06-15T12:51:28.056", "fingerprint" : "3cfae4ca1b93772d79696824a5774e6719d402a6f5af33bf1c9995a29d8e6b2b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://c3.ai/job-description/8589105002?gh_jid=8589105002", "externalId" : "8589105002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dayton", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7589478,-84.1916069" } ], "locationText" : "Dayton, Ohio, United States", "minimumEducation" : "Bachelor's", "experienceLevel" : "Director", "technicalSkills" : "AI, Machine learning, Data integration, Computer science", "professionalSkills" : [ "Sales strategy", "Business development", "Account selling", "Customer success", "Strategic sales training" ], "hardSkillsList" : [ "Operations research", "Physics", "Math", "Engineering" ], "hardSkills" : [ { "name" : "Operations research", "level" : "intermediate" }, { "name" : "Physics", "level" : "intermediate" }, { "name" : "Math", "level" : "intermediate" }, { "name" : "Engineering", "level" : "intermediate" } ], "majorSkills" : "Enterprise AI software, SaaS solutions, Digital transformation", "majorSkillsList" : [ "Enterprise AI software", "SaaS solutions", "Digital transformation" ], "coreResponsibilities" : "Develop and execute a comprehensive sales strategy to, Identify and cultivate relationships with senior-level decision-makers, program, Understand the unique challenges, requirements, and procurement processes, Engage in strategic relationships with customers to ensure, Develop, maintain, and manage the implementation of strategic, Manage efforts to research and identify customer prospects, Collaborate with sales, engineering, product, and marketing teams, Represent C3 AI by driving business development with, Personally engage in strategic account selling, business development,", "teamCollaboration" : "Sales teams; Engineering teams; Product teams; Marketing teams; Company alliance partners", "domainKnowledge" : "U. S. Air Force; Defense industry; Procurement processes; Acquisition programs; Air Force mission sets; Air Force culture; Decision-making processes", "domainList" : [ "u-s-air-force", "defense-industry", "procurement-processes", "acquisition-programs", "air-force-mission-sets", "air-force-culture", "decision-making-processes" ], "domainSpecificKnowledge" : [ "U. S. Air Force", "Defense industry", "Procurement processes", "Acquisition programs", "Air Force mission sets", "Air Force culture", "Decision-making processes" ], "communicationSkills" : "Written communication; Oral communication", "specialRequirements" : "Travel to customer sites up to 50% of the time (or more) depending on business needs", "qualificationsBasic" : "Bachelor's Degree in engineering, science, computer science, or related technical field of study, Proven track record of success in sales with a focus on selling SaaS solutions to the U. S. Air Force, Deep understanding of the defense industry landscape, procurement processes, and acquisition programs, Extensive knowledge of AI technology, data analytics, and their applications within the defense sector, Demonstrated experience in building and nurturing relationships with senior-level decision-makers and influencers within defense organizations and the U. S. Air Force, Exemplary written and oral communication skills, Excellent interpersonal, planning, and organizational skills, Analytical skills", "qualificationsPreferred" : "Master’s or MBA degree preferred, Sales consulting or management consulting experience preferred, Experience with and understanding of AI and Machine Learning is highly favorable, Prior service, particularly in operational, procurement, or acquisition roles within the Air Force, is highly preferred, Aviation-related experience and familiarity with Air Force mission sets are advantageous, Candidates with an established network and a track record of engaging Air Force stakeholders will be strongly considered, Veterans and those with a deep understanding of the Air Force’s culture and decision-making processes are encouraged to apply", "workSiteFlexibility" : "Onsite", "rawDescription" : "C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is hiring a Senior Director, Strategic Solutions to support our relationship with the U. S. Air Force. This is an exciting opportunity to advance your career with a rapidly growing leader in Enterprise AI software. In this role, you will focus on driving adoption of C3 AI’s products across the United States Air Force. You will work closely with Air Force stakeholders—particularly those involved in operations, procurement, and aviation programs—to develop AI use cases and drive mission-aligned digital transformation initiatives. The ideal candidate will bring a strong background in the U. S. Air Force or experience selling into it. Prior service, particularly in operational, procurement, or acquisition roles within the Air Force, is highly preferred. Aviation-related experience and familiarity with Air Force mission sets are advantageous. Candidates with an established network and a track record of engaging Air Force stakeholders will be strongly considered. Veterans and those with a deep understanding of the Air Force’s culture and decision-making processes are encouraged to apply. We are looking for motivated individuals with a strong work ethic and a track record of achievement. You will receive a highly competitive salary and excellent benefits, along with generous commissions and equity. In addition to strategic sales training, you will be supported by senior leadership and mentors to help ensure your success. Candidates should be able to understand complex issues at the intersection of mission, operations, and technology, and communicate that complexity with clarity. Successful candidates will thrive in a fast-paced, high-performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities: Develop and execute a comprehensive sales strategy to drive revenue growth within the U. S. Air Force. Identify and cultivate relationships with senior-level decision-makers, program managers, and influencers within the U. S. Air Force. Understand the unique challenges, requirements, and procurement processes of the U. S. Air Force and tailor sales approaches and solutions accordingly. Engage in strategic relationships with customers to ensure the realization of their digital transformation goals. Develop, maintain, and manage the implementation of strategic customer engagement plans. Manage efforts to research and identify customer prospects and targets. Collaborate with sales, engineering, product, and marketing teams to develop new product offerings within existing and new lines of business. Represent C3 AI by driving business development with company alliance partners. Personally engage in strategic account selling, business development, and ongoing customer success. Travel to customer sites up to 50% of the time (or more) depending on business needs. Qualifications: Bachelor's Degree in engineering, science, computer science, or related technical field of study. Master’s or MBA degree preferred. Proven track record of success in sales with a focus on selling SaaS solutions to the U. S. Air Force. Deep understanding of the defense industry landscape, procurement processes, and acquisition programs. Extensive knowledge of AI technology, data analytics, and their applications within the defense sector. Demonstrated experience in building and nurturing relationships with senior-level decision-makers and influencers within defense organizations and the U. S. Air Force. Experience with and understanding of AI and Machine Learning is highly favorable. Exemplary written and oral communication skills. Excellent interpersonal, planning, and organizational skills. Strong analytical skills. Sales consulting or management consulting experience preferred. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. Virginia Base Pay Range $160,000—$185,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.", "summaryDescription" : "Senior Director, Strategic Solutions - Air Force at C3 AI. Skills: Enterprise AI software, SaaS solutions, Digital transformation. Develop and execute a comprehensive sales strategy to. Identify and cultivate relationships with senior-level decision-makers, program", "postedDate" : "2026-06-14T09:32:44.399", "createdAt" : "2026-06-14T09:32:44.399", "lastUpdated" : "2026-06-15T12:51:28.056", "ingestTimestamp" : "2026-06-14T09:32:44.399", "mongoId" : "6a2ca42e74d8ee00a09b08b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 185000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Operations research", "Physics", "Math", "Engineering", "Enterprise AI software", "SaaS solutions", "Digital transformation", "Sales strategy", "Business development", "Account selling", "Customer success", "Strategic sales training", "U. S. Air Force", "Defense industry", "Procurement processes", "Acquisition programs", "Air Force mission sets", "Air Force culture", "Decision-making processes" ], "skillCount" : 19, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 484.91104, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305785f292fd229cf3abb7", "title" : "Senior Electrical Engineer - Building Engineering", "company" : "HDR", "salary" : { "min" : 145908.0, "max" : 208440.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Massachusetts-Boston", "locations" : [ "United States-Massachusetts-Boston" ], "timestamp" : "2026-06-16T11:02:13.505", "fingerprint" : "0d0f5a50e56f9442d17e8e58e6675143470417436ca8eeee7468cdff969173cc", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=775455", "externalId" : "775455", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. In the role of Senior Electrical Engineer, we'll count on you to: Be a lead for the BES electrical engineering section in the New England region. Primary responsibilities include the design and technical review of facility-level electrical engineering for medium-voltage and low-voltage systems, including power distribution systems, emergency generators, UPS systems, lighting fixtures and controls, fire alarm/security systems, and motor controls. Responsibilities also include conducting and authoring power system studies (short circuit, load flow, and arc flash). Expertly apply knowledge of commonly used electrical engineering and design concepts, principles, best practices, codes, and guidelines related to electrical engineering industry. Lead the work of the electrical BES design team throughout all project phases ranging from feasibility studies, programming, conceptual design, schematic design, design development, construction documents, construction administration, commissioning, and project close-out. Produce complete design packages including basis of design, contract drawings, and construction specifications to fit project requirements. Design full low and medium voltage electrical systems, including normal power, emergency power, battery backup, lighting, fire alarm, and security/communication systems. Design interior and exterior lighting systems including associated controls utilizing industry standard lighting design software such as AGi32. Prepare electrical load analysis for each stage of design. Prepare detailed project electrical systems drawings including power/lighting floor plans, single line diagrams, equipment/lighting fixture schedules, panelboard schedules, design details, grounding plans, and site power/lighting. Visit project sites as requested to verify existing conditions and monitor construction progress / prepare field observation reports. Conduct facility infrastructure assessments, infrastructure/utility master planning, field surveys, and code / energy evaluations. Provide support for generation of cost estimates and participate with project BIM coordination to resolve coordination conflicts as required. Conduct virtual / on-site work sessions for projects in conjunction with other disciplines, owners, clients, contractors, and other project stakeholders including developing and delivering presentations as required. Coordinate and assist affected disciplines with project addenda, RFIs, change proposal requests, and change orders, and take responsibility to incorporate agreed-upon changes into the project documents. In conjunction with construction management support, assist in coordinating all phases of engineering, construction, and inspection; resolving field problems through interpretation of contract documents and amendments; reviewing and approving shop drawings; approving invoices for payment; recommending actions to be taken to maintain projects on schedule and within budget. Support the development and mentorship of junior electrical engineers within HDR. Using computer-based programs such as SKM PowerTools, perform electrical system calculations, including load analysis, short circuit calculations, protective device coordination studies, and arc flash studies. Support the creation of life cycle cost analysis (LCCA) reports to select the most life cycle cost effective MEP systems including renewable power systems as applicable. Oversee the development and delivery of all internal electrical design products acting as a lead for quality assurance and quality control. Review designs completed by third party A/E firms and participate in comment resolution meetings. Participate in the recruitment and interviewing process as requested. Perform other duties as needed. Preferred Qualifications Working knowledge of specialty lighting system controls and design experience with creating sequences of operation and controls diagrams. Design experience with fire alarm, security, and telecom systems. Experience and understanding of sustainable building design including sustainable design certifications such as LEED AP and/or WELL AP. Experience with commissioning and retro-commissioning including industry certifications for commissioning authority or Certified Energy Manager (CEM). Significant experience designing complex and large-scale healthcare, education, science and technology and civic/government facilities as well as data centers and campus district utility plants. Engineering experience with pump stations and water/wastewater facilities. Experience designing renewable energy infrastructure. Experience using loads analysis software (SKM PowerTools) and electrical manufacturer equipment selection software. Excellent organizational and communication skills. Take ownership of assignments and work both independently and as part of a large project team. Strongly motivated, well organized, and showing professional initiative. Candidate with strong mentoring skills is highly preferred. Preference is given to local candidates. #LI-JC7 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) {Boston, MA}: %24145,908 - %24208,440", "summaryDescription" : "Senior Electrical Engineer - Building Engineering at HDR", "createdAt" : "2026-06-15T23:10:05.149", "lastUpdated" : "2026-06-16T11:02:13.505", "ingestTimestamp" : "2026-06-15T23:10:05.149", "mongoId" : "6a305785f292fd229cf3abb7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145908, "salaryAnnualMax" : 208440, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 484.43835, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 83824, "totalPages" : 1677, "hasNext" : true, "hasPrevious" : false } }

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