{ "count" : 5976, "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. Comply with portion sizes", "postedDate" : "2026-06-15T20:13:43.000", "createdAt" : "2026-06-16T00:06:58.515", "lastUpdated" : "2026-06-16T08:27:06.699", "ingestTimestamp" : "2026-06-16T00:06:58.515", "mongoId" : "6a306b0cf292fd229cfcf203", "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" : 801.46155, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.9 }, { "id" : "6a306261f292fd229cf9a0e2", "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" : "2026-06-16T10:36:28.831", "fingerprint" : "1d3efb0837737899053b815ad7599b238bc9646b5027baacfb3a41f88ce0d134", "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 if needed, Engage with guests interested in pizza production, Perform other duties as required", "teamCollaboration" : "Engage with guests", "domainKnowledge" : "Roman-style pizza alla pala", "domainList" : [ "roman-style-pizza-alla-pala" ], "domainSpecificKnowledge" : [ "Roman-style pizza alla pala" ], "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. 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" : 801.46155, "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" : 800.6457, "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. 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" : "2026-06-15T23:43:23.902", "lastUpdated" : "2026-06-16T08:13:52.451", "ingestTimestamp" : "2026-06-15T23:43:23.902", "mongoId" : "6a305817f292fd229cf402e6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 800.6457, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "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" : 772.7735, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c692274d8ee00a0906256", "title" : "Trust Officer", "industry" : "Client Opportunities", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Senior Trust Officer in Naples, United States, with adjustments for the financial services industry and typical company compensation practices." }, "location" : "Naples, FL", "locations" : [ "Naples, FL" ], "certifications" : [ "CTFA designation" ], "timestamp" : "2026-06-16T00:29:11.036", "fingerprint" : "e101f657ee63525ce10827ef62d6198a5bd029bf4410eb8e7fad0a72de7d89a6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/livinghr/7924d144-9e32-4ada-afd8-dabd17481329/application", "externalId" : "7924d144-9e32-4ada-afd8-dabd17481329", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Naples", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "26.1421976,-81.7942944" }, { "city" : "Fort Myers", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "26.6406280,-81.8723084" } ], "locationText" : "Naples, Florida, United States; Fort Myers, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Trust administration", "Estate planning", "Fiduciary services", "Relationship management", "Document interpretation" ], "hardSkillsList" : [ "Fiduciary law", "Trust structures", "Estate settlement", "Tax considerations", "Investment concepts" ], "softSkillsList" : [ "Clarity", "Care", "Discretion" ], "hardSkills" : [ { "name" : "Fiduciary law", "level" : "intermediate" }, { "name" : "Trust structures", "level" : "intermediate" }, { "name" : "Estate settlement", "level" : "intermediate" }, { "name" : "Tax considerations", "level" : "intermediate" }, { "name" : "Investment concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Clarity" }, { "name" : "Care" }, { "name" : "Discretion" } ], "majorSkills" : "Trust administration, Fiduciary services, Client relationship management", "majorSkillsList" : [ "Trust administration", "Fiduciary services", "Client relationship management" ], "coreResponsibilities" : "Administer trusts, estates, and agency accounts, Serve as primary relationship manager for clients and, Provide guidance on trust terms, distributions, tax considerations,, Review and interpret trust instruments, wills, and legal, Coordinate with investment, tax, legal, and compliance partners, Monitor account activities, investment performance, cash flow needs,, Identify risks or compliance issues and address them, Cultivate new business opportunities", "teamCollaboration" : "Coordinate with investment partners; Coordinate with tax partners; Coordinate with legal partners; Coordinate with compliance partners", "domainKnowledge" : "Fiduciary law; Trust structures; Estate settlement processes; Tax considerations; Investment concepts; Florida trust laws", "domainList" : [ "fiduciary-law", "trust-structures", "estate-settlement-processes", "tax-considerations", "investment-concepts", "florida-trust-laws" ], "domainSpecificKnowledge" : [ "Fiduciary law", "Trust structures", "Estate settlement processes", "Tax considerations", "Investment concepts", "Florida trust laws" ], "toolProficiency" : [ "Trust accounting systems", "Wealth management software" ], "communicationSkills" : "Client guidance", "documentationSkills" : "Document interpretation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in finance, business, accounting, or related field, 7+ years trust administration, estate planning, or fiduciary services experience, Understanding of fiduciary law, trust structures, estate settlement processes, tax considerations, and investment concepts, Demonstrated ability to manage complex client relationships, Excellent analytical, organizational, and document-interpretation skills, Proven ability to partner effectively with legal, investment, tax, and compliance teams", "qualificationsPreferred" : "CTFA designation or progress toward certification, Experience working with Florida-specific trust laws and regulations, Familiarity with trust accounting systems and wealth management software", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT THE ORGANIZATION The mission is to help individuals and families preserve and grow their wealth with integrity, transparency, and a deeply personal touch. The organization serves clients across Southwest Florida and beyond, offering investment management, trust, and estate services with a boutique feel and institutional strength. Their team is close-knit, community-minded, and committed to doing right by their clients and each other. WHAT YOU’LL DO As a Trust Officer, you will serve as a trusted advisor to high‑net‑worth clients, overseeing the administration of complex trust accounts and ensuring alignment with fiduciary standards, regulatory requirements, and each client’s long‑term financial objectives. You’ll build deep, meaningful relationships while guiding clients, beneficiaries, and internal partners through the intricacies of trust management with clarity, professionalism, and care. Day-to-Day Responsibilities - Administer a portfolio of trusts, estates, and agency accounts in accordance with governing documents, state and federal regulations, and company policies. - Serve as the primary relationship manager for clients and beneficiaries, providing guidance on trust terms, distributions, tax considerations, and estate planning matters. - Review and interpret trust instruments, wills, and related legal documents to determine appropriate administrative actions. - Coordinate with investment, tax, legal, and compliance partners to ensure cohesive, high‑quality service across all accounts. - Monitor account activities, investment performance, cash flow needs, and distribution schedules to ensure accuracy and proactive oversight. - Identify risks or compliance issues and address them promptly, escalating concerns as needed to protect client and company interests. - Cultivate new business opportunities through exceptional service, referrals, and meaningful participation in client and community engagement efforts. What We Are Looking For - Bachelor’s degree in finance, business, accounting, or a related field. - 7+ years of trust administration, estate planning, or fiduciary services experience, ideally within a bank, trust company, or wealth management environment. - Strong understanding of fiduciary law, trust structures, estate settlement processes, tax considerations, and investment concepts. - Demonstrated ability to manage complex client relationships with discretion, clarity, and empathy. - Excellent analytical, organizational, and document‑interpretation skills with high attention to detail. - Proven ability to partner effectively with legal, investment, tax, and compliance teams. Nice-to-Have Requirements - CTFA designation or progress toward certification. - Experience working with Florida-specific trust laws and regulations. - Familiarity with trust accounting systems and wealth management software. WHY YOU’LL LOVE WORKING HERE Working here feels like being part of something meaningful. You’ll be surrounded by smart, kind, and driven colleagues who care deeply about their work and the people they serve. - Health & Wellness: 90% employer-paid medical coverage. Dental and vision plans available at employee cost. - Financial Benefits: Employer-supported 401(k) safe harbor contribution and Employee Stock Ownership Plan (ESOP). - Work-Life Balance: Generous PTO, paid holidays, hybrid policy, and a supportive team culture. - Wellbeing: Access to mental health resources and wellness initiatives. - Culture: We host annual team events, community involvement opportunities, and foster a respectful, inclusive workplace. Reports to: Trust Officer Department: Fiduciary Services Employment Type: Full-time / Onsite (Remote 2x/month) Location: Naples, FL OR Fort Myers, FL", "summaryDescription" : "Trust Officer. Skills: Trust administration, Fiduciary services, Client relationship management. Administer trusts, estates, and agency accounts. Serve as primary relationship manager for clients and", "createdAt" : "2026-06-14T20:15:06.032", "lastUpdated" : "2026-06-16T00:29:11.036", "ingestTimestamp" : "2026-06-14T20:15:06.032", "mongoId" : "6a2c692274d8ee00a0906256", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Fiduciary law", "Trust structures", "Estate settlement", "Tax considerations", "Investment concepts", "Clarity", "Care", "Discretion", "Trust administration", "Fiduciary services", "Client relationship management", "Estate planning", "Relationship management", "Document interpretation", "Estate settlement processes", "Florida trust laws", "CTFA designation", "Trust accounting systems", "Wealth management software" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 750.8653, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "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" : 721.81586, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.85 }, { "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" : 718.08295, "daysOld" : 2, "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" : 668.84784, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "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" : 665.4508, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "EdTech" }, { "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" : 656.793, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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" : 642.21686, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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" : 631.522, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.98 }, { "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. Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "createdAt" : "2026-06-14T20:17:27.024", "lastUpdated" : "2026-06-15T09:58:14.336", "ingestTimestamp" : "2026-06-14T20:17:27.024", "mongoId" : "6a2cafed74d8ee00a09d83ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "ML", "curious, caring, cross-functional", "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 626.6484, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a3f6874d8ee00a05c2a38", "title" : "Video Maker", "company" : "Omnicom Health", "salary" : { "min" : 30000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Video Maker in Barcelona, Spain, adjusted for the healthcare industry and Omnicom Health's company size." }, "location" : "Barcelona, Barcelona, Spain", "locations" : [ "Barcelona", "Barcelona", "Spain", "Barcelona", "Barcelona", "Spain" ], "timestamp" : "2026-06-11T07:28:16.346", "fingerprint" : "2df79e45a2db4802a5fb8b2854ace4ab416cfba3e6243e0dfdb689cd53f9e93a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/omnicomhealth/jobs/5250649008", "externalId" : "5250649008", "structuredLocations" : [ { "city" : "Barcelona", "state" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Barcelona, Spain", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "rawDescription" : "About the company : We are Omnicom Health, the largest healthcare marketing and communications network in the world, with more than a dozen companies and over 4,000 talented people specializing in every area of health. Our people come from every corner of science, medicine, marketing, and communications, partnering with clients - and connecting with each other - to achieve meaningful change through better, more innovative communications. About the role : Are you passionate about transforming complex ideas into clear, engaging, and impactful visual stories ? We are looking for a Video Maker with experience in editing and motion graphics to join our audiovisual team. You will work on creating content for pharmaceutical and healthcare companies, developing pieces intended for both national and international audiences. Key Responsibilities : Edit corporate, scientific, training, and promotional videos for pharma and healthcare clients. Adapt content across events, e-learning, presentations, websites, and digital campaigns. Create motion graphics, animations, and visual assets to simplify complex topics. Leverage AI tools to enhance video, visuals, and voiceovers. Deliver content across formats and channels with high quality standards. Manage projects independently and meet deadlines. Stay up to date with new tools, trends, and creative approaches. About you : We are seeking someone with strong visual judgment, a keen sense of storytelling, and the ability to adapt scientific and corporate messages into innovative and effective audiovisual formats. 3+ years of experience in video editing and post-production. Proficient in Premiere Pro, After Effects, and AI tools; comfortable with Photoshop, Illustrator, and Media Encoder. Solid understanding of pacing, composition, typography, and audiovisual language. Organized and able to manage multiple projects at once. Collaborative, open to feedback, and solution-oriented. Fluent in Spanish and English for international projects. Will be a plus : Interest in audiovisual innovation and emerging (AI) tools. Previous in healthcare, pharma, or corporate communication. Basic knowledge of filming, lighting, and on-set support. What we need from you : Your updated CV. A short note explaining what motivates you about this opportunity and why you would be a good fit. Your latest reel, showcasing work that best reflects your skills in editing, motion graphics, and audiovisual storytelling. Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.", "summaryDescription" : "Video Maker at Omnicom Health", "postedDate" : "2026-06-11T07:14:05.975", "createdAt" : "2026-06-11T07:14:05.975", "lastUpdated" : "2026-06-11T07:28:16.346", "ingestTimestamp" : "2026-06-11T07:14:05.975", "mongoId" : "6a2a3f6874d8ee00a05c2a38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "other", "jobSubcategory" : "templates", "dataQualityScore" : 0.7777778, "_score" : 619.6243, "daysOld" : 0, "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. 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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 Collect is a global product and technology group dedicated to revolutionizing the world of collectibles. Every single day our team of experienced product leaders, engineers, and operators obsesses over how to create the ultimate collector experience with our products: Topps.com, the direct to consumer ecommerce platform of the Topps brand, Fanatics Collect, the most trusted and dynamic collector focused marketplace, and our collector focused live shopping platforms, Fanatics Live and Voggt. We have the unique advantage of being backed by Fanatics - the world’s largest sports merchandiser, with more than 900 global sports relationships, 90+ million reachable fans, and exclusive licensing deals with the MLB, NFL, and NBA among many others - but we’re a nimble, ambitious team building products from the ground up. If you're passionate about building world class products and share our love for sports fans and collectors, Fanatics Collect offers an exciting opportunity to be part of a dynamic team creating the future of collecting. Role Summary The Manager, Trust equivalent experience considered 5–7+ years of experience in Trust & Safety, fraud operations, risk management, or a related domain 2+ years of people management experience leading frontline operations or investigation teams Strong understanding of fraud detection, abuse patterns, and marketplace risk dynamics in e-commerce or digital platforms Experience managing SLAs, KPIs, and operational performance in high-volume environments Proven ability to develop SOPs, improve workflows, and scale operational processes Strong analytical and decision-making skills with the ability to handle ambiguity and high-risk scenarios Experience partnering with cross-functional teams including Legal, Product, Engineering, and Customer Experience Familiarity with Trust & Safety tools, case management systems, and fraud detection technologies Excellent communication, coaching, and stakeholder management skills in a fast-paced, high-growth environment Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers The salary range represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $85,000—$110,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Manager, Trust & Safety at Fanatics Collectibles. Skills: Trust & Safety, Fraud operations, Risk management. Manage Trust & Safety operations. Develop and implement Trust & Safety strategies", "postedDate" : "2026-06-14T20:02:29.425", "createdAt" : "2026-06-14T20:02:29.425", "lastUpdated" : "2026-06-16T01:50:31.197", "ingestTimestamp" : "2026-06-14T20:02:29.425", "mongoId" : "6a2c799174d8ee00a0941e0d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Fraud detection", "Abuse patterns", "Marketplace risk", "Trust & Safety", "Fraud operations", "Risk management", "Stakeholder management", "E-commerce risk dynamics", "Digital platform risk", "Case management systems", "Fraud detection technologies" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 601.3729, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "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" : 599.8954, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.85 }, { "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" : 597.9081, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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" : 596.76324, "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" : 596.76324, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c809b74d8ee00a095840d", "title" : "Mold Maker Journeyman", "company" : "O-I", "industry" : "Packaging And Containers", "salary" : { "min" : 42.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ringgold, VA, United States", "locations" : [ "Ringgold", "VA", "United States" ], "certifications" : [ "USW Journeyman Mold Maker Card", "USW Journeyman Machinist Card", "State of Virginia Machinist Journeyman Card" ], "timestamp" : "2026-06-15T01:02:24.996", "fingerprint" : "0ab486f5986d9469cd1840eb4c637fc11730a2e8cb23067f2892dd28d2af7b14", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/O-I/744000131738110-mold-maker-journeyman", "externalId" : "744000131738110", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ringgold", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.6081940,-79.2952978" } ], "locationText" : "Ringgold, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Lathe work, Mill work, Welding", "professionalSkills" : [ "Mold making", "Machining" ], "hardSkillsList" : [ "Bench repair", "Blueprint reading", "Drawing interpretation" ], "hardSkills" : [ { "name" : "Bench repair", "level" : "intermediate" }, { "name" : "Blueprint reading", "level" : "intermediate" }, { "name" : "Drawing interpretation", "level" : "intermediate" } ], "majorSkills" : "Mold making, Machining, Blueprint reading", "majorSkillsList" : [ "Mold making", "Machining", "Blueprint reading" ], "coreResponsibilities" : "Perform new mold work, Make corrections on unused mold equipment, Perform lathe work, Make molds from semi-finished castings, Make mold holders from semi-finished castings, Make mold bushings from semi-finished castings, Make round bottom plates from semi-finished castings, Make blanks from semi-finished castings, Make baffle holders from semi-finished castings, Make baffle inserts from semi-finished castings, Make guide rings from semi-finished castings, Make guide ring inserts from semi-finished castings, Make blow head inserts from semi-finished castings, Make blow head holders from semi-finished castings, Make guide ring holders from semi-finished castings, Grind own tools, Perform bench work operations, Blend cavities, Shape cavities, Match cavities, Make capacity corrections, Make necessary cavity relief, Perform pantograph work, Perform mill work, Make molds involving flutes, Make molds involving rib decorations, Make cavities involving flutes, Make cavities involving rib decorations, Grind tapered cutting tools, Grind fly cutter arch tools, Grind other cutting tools, Install cutting tools, Make necessary mill adjustments", "domainKnowledge" : "Glass container manufacturing", "domainList" : [ "glass-container-manufacturing" ], "domainSpecificKnowledge" : [ "Glass container manufacturing" ], "toolProficiency" : [ "Precision measuring device" ], "qualificationsBasic" : "High School Diploma or GED, USW Journeyman Mold Maker or Machinist Card, State of Virginia Machinist Journeyman Card, Ability to use all precision measuring device, Prior experience in an industrial manufacturing environment", "qualificationsPreferred" : "Automatic CNC mill and lathe knowledge, CNC certification, CNC experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Remember the last time you opened a bottle of champagne? A cold beer after a hard day’s work or a bottle of sparkling mineral water to quench your thirst? Well, it was probably made by us. We are O-I and we love that we make more glass containers than anyone in the world. O-I has more than a century of experience crafting pure, sustainable, brand-building glass packaging for many of the world’s best-known food and beverage brands. We are proud to provide high quality glass packaging for beer, wine, spirits, food, non-alcoholic beverages, cosmetics and pharmaceuticals. Why do you want to apply? O-I in Ringgold offers very competitive wages and a great benefits package! The plant is located an hour south from Greensboro, NC international airport and an hour north from Lynchburg, VA. O-I is a company that is committed to fostering an inclusive environment and offers opportunity for growth and advancement. The Mold Maker Journeyman will be responsible for performing new mold work, work on rough or semi-finished castings which are made into completed parts and make corrections or changes on unused mold equipment. The Mold Maker Journeyman will: * Perform lathe work and makes, without use of profile, the following equipment from semi-finished castings: molds (excluding cavity), mold holders, mold bushings (outside diameter), round bottom plates, blanks (excluding cavity), baffle holders, baffle inserts, guide rings, guide ring inserts, blow head inserts, blow head holders, guide ring holders. The operator is also responsible for grinding own tools. * Perform bench work operations including blending, shaping, and matching cavities, making capacity corrections, necessary cavity relief and pantograph work where standard numerals and monograms are used. * Perform mill work consisting of making molds, blanks, baffles, bottoms, funnels and odd-shaped cavities – or cavities involving flutes, rib decorations, or matches where cavity cast rack displacement must be held to close tolerances. Responsible for grinding tapered, fly cutter arch, and other cutting tools, installing them, and making necessary mill adjustments. The Mold Maker Journeyman should have: * Machine lathe and mill experience, automatic CNC mill and lathe knowledge is desirable * Experience reading blueprints and drawings * Experience with bench repair and welding * Ability to use all precision measuring device * Prior experience in an industrial manufacturing environment ## Qualifications * High School Diploma or GED * USW Journeyman Mold Maker or Machinist Card or State of Virginia Machinist Journeyman Card required * CNC certification and/or CNC experience is desirable. * Basic computer literacy (Word, email, data entry) ## Additional Information What We Offer: Hourly Wage: The hourly wage for this position is $42.97 O-I offers a very generous benefit package – some of the highlights are: * Vacation time and paid holidays * Medical, dental, prescription and vision care coverage * Pre-tax accounts * Well-being program which includes opportunity to earn employer contributions * Life and AD&D Insurance * Disability Insurance * 401(k) retirement saving plans with employer contributions * Financial advisors to assist with retirement planning and financial wellness * Employee Assistance Program All your information will be kept confidential according to EEO guidelines. O-I is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing [hr.recruiters@o-i.com](mailto:hr.recruiters@o-i.com).", "summaryDescription" : "Mold Maker Journeyman at O-I. Skills: Mold making, Machining, Blueprint reading. Perform new mold work. Make corrections on unused mold equipment", "postedDate" : "2026-06-11T18:18:26.000", "createdAt" : "2026-06-13T13:45:19.961", "lastUpdated" : "2026-06-15T01:02:24.996", "ingestTimestamp" : "2026-06-13T13:45:19.961", "mongoId" : "6a2c809b74d8ee00a095840d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 87360, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Bench repair", "Blueprint reading", "Drawing interpretation", "Mold making", "Machining", "Glass container manufacturing", "USW Journeyman Mold Maker Card", "USW Journeyman Machinist Card", "State of Virginia Machinist Journeyman Card", "Precision measuring device" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "Operations", "dataQualityScore" : 1.0, "_score" : 589.3124, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing" }, { "id" : "6a2cabe274d8ee00a09cda82", "title" : "Mold Maker Journeyman", "company" : "O-I", "industry" : "Packaging And Containers", "salary" : { "min" : 42.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ringgold, VA, United States", "locations" : [ "Ringgold", "VA", "United States" ], "timestamp" : "2026-06-16T02:56:28.144", "fingerprint" : "316de7e4781385fc2e172b01261a43e094ff4543a778b7b758474b3c3dd5c5ed", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/O-I/744000131738110-mold-maker-journeyman", "externalId" : "744000131738110", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ringgold", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.6081940,-79.2952978" } ], "locationText" : "Ringgold, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Object-oriented programming, C++, C#, Linux, Windows, Embedded systems, Real-time operating systems, Scripting languages, Network protocols, Hardware interfaces", "professionalSkills" : [ "System design", "Problem solving", "Analytical skills" ], "hardSkillsList" : [ "Embedded software development", "Real-time systems programming", "Debugging", "Version control" ], "hardSkills" : [ { "name" : "Embedded software development", "level" : "intermediate" }, { "name" : "Real-time systems programming", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" } ], "majorSkills" : "Embedded systems, C++, Real-time operating systems", "majorSkillsList" : [ "Embedded systems", "C++", "Real-time operating systems" ], "coreResponsibilities" : "Design and develop embedded software, Develop real-time operating systems, Debug software issues, Write and maintain software documentation, Collaborate with hardware engineers, Participate in code reviews, Develop and execute test plans, Troubleshoot and resolve software defects", "teamCollaboration" : "Hardware engineers; Cross-functional teams", "projectManagementSkills" : [ "Agile development methodologies" ], "domainKnowledge" : "Embedded systems; Real-time operating systems; Network protocols; Hardware interfaces", "domainList" : [ "embedded-systems", "real-time-operating-systems", "network-protocols", "hardware-interfaces" ], "domainSpecificKnowledge" : [ "Embedded systems", "Real-time operating systems", "Network protocols", "Hardware interfaces" ], "toolProficiency" : [ "Debugging tools", "Version control systems" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Software documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Engineering, Computer Science, or related field, Experience with object-oriented programming, Experience with C++ or C#, Experience with Linux, Experience with Windows, Experience with embedded systems, Experience with real-time operating systems, Experience with debugging tools, Experience with version control systems", "qualificationsPreferred" : "Master's degree or PhD, Experience with scripting languages, Experience with network protocols, Experience with hardware interfaces, Experience with Agile development methodologies, Experience with CI/CD pipelines, Experience with test automation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Remember the last time you opened a bottle of champagne? A cold beer after a hard day’s work or a bottle of sparkling mineral water to quench your thirst? Well, it was probably made by us. We are O-I and we love that we make more glass containers than anyone in the world. O-I has more than a century of experience crafting pure, sustainable, brand-building glass packaging for many of the world’s best-known food and beverage brands. We are proud to provide high quality glass packaging for beer, wine, spirits, food, non-alcoholic beverages, cosmetics and pharmaceuticals. Why do you want to apply? O-I in Ringgold offers very competitive wages and a great benefits package! The plant is located an hour south from Greensboro, NC international airport and an hour north from Lynchburg, VA. O-I is a company that is committed to fostering an inclusive environment and offers opportunity for growth and advancement. The Mold Maker Journeyman will be responsible for performing new mold work, work on rough or semi-finished castings which are made into completed parts and make corrections or changes on unused mold equipment. The Mold Maker Journeyman will: * Perform lathe work and makes, without use of profile, the following equipment from semi-finished castings: molds (excluding cavity), mold holders, mold bushings (outside diameter), round bottom plates, blanks (excluding cavity), baffle holders, baffle inserts, guide rings, guide ring inserts, blow head inserts, blow head holders, guide ring holders. The operator is also responsible for grinding own tools. * Perform bench work operations including blending, shaping, and matching cavities, making capacity corrections, necessary cavity relief and pantograph work where standard numerals and monograms are used. * Perform mill work consisting of making molds, blanks, baffles, bottoms, funnels and odd-shaped cavities – or cavities involving flutes, rib decorations, or matches where cavity cast rack displacement must be held to close tolerances. Responsible for grinding tapered, fly cutter arch, and other cutting tools, installing them, and making necessary mill adjustments. The Mold Maker Journeyman should have: * Machine lathe and mill experience, automatic CNC mill and lathe knowledge is desirable * Experience reading blueprints and drawings * Experience with bench repair and welding * Ability to use all precision measuring device * Prior experience in an industrial manufacturing environment ## Qualifications * High School Diploma or GED * USW Journeyman Mold Maker or Machinist Card or State of Virginia Machinist Journeyman Card required * CNC certification and/or CNC experience is desirable. * Basic computer literacy (Word, email, data entry) ## Additional Information What We Offer: Hourly Wage: The hourly wage for this position is $42.97 O-I offers a very generous benefit package – some of the highlights are: * Vacation time and paid holidays * Medical, dental, prescription and vision care coverage * Pre-tax accounts * Well-being program which includes opportunity to earn employer contributions * Life and AD&D Insurance * Disability Insurance * 401(k) retirement saving plans with employer contributions * Financial advisors to assist with retirement planning and financial wellness * Employee Assistance Program All your information will be kept confidential according to EEO guidelines. O-I is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing [hr.recruiters@o-i.com](mailto:hr.recruiters@o-i.com).", "summaryDescription" : "Mold Maker Journeyman at O-I. Skills: Embedded systems, C++, Real-time operating systems. Design and develop embedded software. Develop real-time operating systems", "postedDate" : "2026-06-11T18:18:26.000", "createdAt" : "2026-06-14T20:28:45.224", "lastUpdated" : "2026-06-16T02:56:28.144", "ingestTimestamp" : "2026-06-14T20:28:45.224", "mongoId" : "6a2cabe274d8ee00a09cda82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 87360, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Embedded software development", "Real-time systems programming", "Debugging", "Version control", "Embedded systems", "C++", "Real-time operating systems", "System design", "Problem solving", "Analytical skills", "Agile development methodologies", "Network protocols", "Hardware interfaces", "Debugging tools", "Version control systems" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 588.24304, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6f5874d8ee00a09244c6", "title" : "Marine Vessel Cabinet Maker", "company" : "EagleCraft Boats Inc.", "industry" : "Maritime", "salary" : { "min" : 28.0, "max" : 38.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Campbell River, BC, Canada", "locations" : [ "Campbell River", "BC", "Canada" ], "certifications" : [ "Ticketed cabinet maker" ], "timestamp" : "2026-06-16T06:42:40.087", "fingerprint" : "0a61de2c424510ee1a31b30941634fe08ebe42df906bfbd0996c86f31f60c7d1", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EagleCraftBoatsInc/744000131684009--marine-vessel-cabinet-maker-joinery-", "externalId" : "744000131684009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Campbell River", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "50.0230710,-125.2441530" } ], "locationText" : "Campbell River, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "hardSkillsList" : [ "Woodworking", "Joinery", "Cabinet making" ], "hardSkills" : [ { "name" : "Woodworking", "level" : "intermediate" }, { "name" : "Joinery", "level" : "intermediate" }, { "name" : "Cabinet making", "level" : "intermediate" } ], "majorSkills" : "Cabinet installation, Marine interiors", "majorSkillsList" : [ "Cabinet installation", "Marine interiors" ], "coreResponsibilities" : "Woodworking on marine interiors, Building cabinets, Installing cabinets, Using laminate material, Joinery with trims", "teamCollaboration" : "Team environment", "domainKnowledge" : "Marine industry", "domainList" : [ "marine-industry" ], "domainSpecificKnowledge" : [ "Marine industry" ], "toolProficiency" : [ "Wood working tools" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem solving skills", "specialRequirements" : "18+ years of age, Legally authorized to work, Manual dexterity required", "qualificationsBasic" : "2-3 years experience in building cabinets, Experience with wood working tools, Ability to follow instructions, Excellent organizational skills, Excellent communication skills, Thrive in a team environment", "qualificationsPreferred" : "Ticketed cabinet maker", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Welcome to EagleCraft Boats! At our plant in beautiful Campbell River, British Columbia, our talented team of 25 full-time staff specializes in designing and building custom aluminum boats. Well represented across the globe, our company is proud to have built over 800 aluminum quality vessels ranging from pleasure crafts to commercial work boats. What will you do? * Woodworking on marine interiors * Building and installing cabinets * Using laminate material and joinery with trims ## Qualifications What do you need to succeed? * 2-3 years experience in building cabinets * Experience with wood working tools * Problem solving skills * Ability to follow instructions * Must possess excellent organizational, & communication skills. * Must thrive in a team environment. * Ticketed cabinet maker preferred. ## Additional Information What is in it for you * Year-round, full-time permanent work; * Working alongside a great team of talented individuals; * Building a world-class product; * Opportunity for advancement; * Family owned company; * Fun work events (Christmas Party, BBQ, Golf , etc.); * Compensation range based on experience; $28.00- 38.00 hr. Higher pay range for experienced wood workers in marine industry. * Wage reviews are conducted after successful completion of the probationary period and annually after the first year of employment; * Extended Benefits Coverage; * Employee Assistant Programs; * Employee Purchase Discount on Marine materials; * Paid Holidays and Vacation; * Education Opportunities; * Boating Experiences. Working Conditions * 18+ years of age and legally authorized to work in Canada; * Work is performed in an office adjacent to a metal manufacturing environment; * Noise level is occasionally moderate. Manual dexterity is required to use computer, phone, and peripherals; * While performing the duties of this job, the employee is regularly required to sit or stand. The employee is occasionally required to stoop, kneel, or crouch; * Noticeable pressure from deadlines, production quotas, accuracy or similar demands exists.", "summaryDescription" : "Marine Vessel Cabinet Maker at EagleCraft Boats Inc.. Skills: Cabinet installation, Marine interiors. Woodworking on marine interiors. Building cabinets", "postedDate" : "2026-06-11T14:01:41.000", "createdAt" : "2026-06-14T19:04:07.715", "lastUpdated" : "2026-06-16T06:42:40.087", "ingestTimestamp" : "2026-06-14T19:04:07.715", "mongoId" : "6a2c6f5874d8ee00a09244c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Woodworking", "Joinery", "Cabinet making", "Cabinet installation", "Marine interiors", "Marine industry", "Ticketed cabinet maker", "Wood working tools" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 587.6756, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306665f292fd229cfb0e94", "title" : "Trust and Safety Analyst", "company" : "Twitch", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Trust and Safety Analyst in London, UK, adjusted for industry and company size." }, "location" : "London, UK", "locations" : [ "London", "UK" ], "timestamp" : "2026-06-16T08:46:53.892", "fingerprint" : "4cb25166703e817215af57148ef40c100e2cedbe91a775d7f579ee014b2f1d33", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/twitch/jobs/8590327002", "externalId" : "8590327002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceMinYears" : 2, "technicalSkills" : "SQL", "professionalSkills" : [ "Content moderation", "Policy enforcement", "User support", "Data analysis", "Vendor management", "Cross-functional collaboration" ], "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Trust and Safety, Content moderation, Policy enforcement", "majorSkillsList" : [ "Trust and Safety", "Content moderation", "Policy enforcement" ], "coreResponsibilities" : "Moderate user-generated content, Enforce platform policies, Respond to user support inquiries, Analyze trust and safety data, Identify trends and patterns, Develop and implement new policies, Collaborate with product and engineering teams, Manage relationships with third-party vendors", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Third-party vendors", "projectManagementSkills" : [ "JIRA" ], "domainKnowledge" : "Trust and Safety; Content moderation policies; User behavior analysis", "domainList" : [ "trust-and-safety", "content-moderation-policies", "user-behavior-analysis" ], "domainSpecificKnowledge" : [ "Trust and Safety", "Content moderation policies", "User behavior analysis" ], "toolProficiency" : [ "JIRA" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Maintain a safe and trustworthy platform; Improve user experience; Reduce policy violations; Increase user satisfaction", "qualificationsBasic" : "2+ years of experience in Trust and Safety, Experience with content moderation, Experience with policy enforcement, Experience with user support, Experience with data analysis", "qualificationsPreferred" : "Experience with SQL, Experience with data visualization tools, Experience with project management tools, Experience with vendor management, Experience with cross-functional collaboration", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Twitch is looking for a passionate, high energy addition to our Trust & Safety team. Our Trust & Safety Analysts are at the core of enabling Twitch to be a welcoming and safe place for people to build communities. This role will particularly focus on supporting the vibrant and fantastic communities on Twitch by keeping them safe from online harms. Alongside other Analysts around the world, you’ll be an essential element of Trust and Safety’s efforts to foster a thriving, creative Twitch. We look for effective written and verbal communication skills, professionalism, initiative, and sound decision-making in all Trust & Safety candidates. You can work in London, UK. You Will: Assess and take appropriate action on user reports of Twitch policy violations promptly and effectively Prioritize swift action on sensitive community issues, including child safety, terrorism and violent extremism, and off service behaviors Review and respond to internal and external escalations Participate in shift rotation for some weekends and holidays Maintain expert understanding of Twitch’s policies, site features, and internal documentation Contribute your insight and skills to the Trust & Safety team to support Twitch’s global community Actively identify areas for improvement, using a data-driven approach to understand and mitigate risk Leverage AI tooling and programmes such as SQL to build efficiencies and streamline workflows You Have: 2+ years experience in Trust & Safety, Risk Operations, Investigations, Fraud Prevention, Content Moderation, Escalations and Crisis Management, or a related field Experience investigating complex user, content, or platform safety issues and making risk-based decisions in ambiguous situations Familiarity with SQL, data analysis tools, or AI-assisted workflows used to identify trends, investigate risk, and improve operational efficiency Ability to analyze large datasets, identify patterns, and translate findings into actionable recommendations Curiosity and willingness to learn new tools and technologies that support proactive risk detection and investigations Bonus Points Familiarity with AWS infrastructure Experience with email / notifications technologies Experience writing Go in production systems Perks Private Medical Insurance Dental, Vision & Life Insurance Pension Plan Maternity & Parental Leave Paid Time Off & Holidays Commuter Benefits Amazon Employee Discount Job ID: TW9204 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.", "summaryDescription" : "Trust and Safety Analyst at Twitch. Skills: Trust and Safety, Content moderation, Policy enforcement. Moderate user-generated content. Enforce platform policies", "postedDate" : "2026-06-15T23:29:40.736", "createdAt" : "2026-06-15T23:29:40.736", "lastUpdated" : "2026-06-16T08:46:53.892", "ingestTimestamp" : "2026-06-15T23:29:40.736", "mongoId" : "6a306665f292fd229cfb0e94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Trust and Safety", "Content moderation", "Policy enforcement", "User support", "Vendor management", "Cross-functional collaboration", "JIRA", "Content moderation policies", "User behavior analysis" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 585.98737, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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" : 583.9465, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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. 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AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. At Linear, we hold ourselves to a commitment to quality https://linear.app/quality. To us, security is an essential part of that quality — not a layer that we add later, but something we build in from the start. We have a strong foundation (SOC 2 Type II, ISO 27001, and a security program we're proud of) but as Linear evolves our product and scales into enterprise, there's meaningful work ahead: keeping our compliance program current as we grow and ship fast, deepening the trust we’ve established with customers, and maturing our approach to privacy and risk. As Compliance & Trust Lead at Linear, you'll partner with our Head of Security in a high-autonomy role with real scope, ensuring the bar we set internally is one our customers can verify. Location & work mode Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Operate and extend Linear's compliance program end-to-end — maintain and mature our SOC 2 Type II, ISO 27001, and other relevant certifications (roadmap: ISO 27701, ISO 42001) while keeping audit overhead low and evidence collection as automated as possible - Be the primary point of contact for security questionnaires, customer trust reviews, and enterprise procurement conversations — turn what's often a bottleneck into a competitive advantage - Run our risk management program — identify emerging risks across the product, infrastructure, and vendor landscape, drive remediation with the right owners, and surface clear signal to leadership - Partner closely with engineering to embed compliance controls into how we build — shape policy and tooling so security requirements land early in the development process, not as a retrofit - Manage our third-party risk program — evaluate vendors and subprocessors, maintain our inventory, and ensure our supply chain meets the bar we hold ourselves to on both security and privacy - Help scale the GRC function with automation — reduce manual toil, build durable processes, and ensure the program grows with the business without linearly growing headcount What we’re looking for - A seasoned GRC practitioner — you have 7+ years in compliance and customer trust, ideally in a B2B SaaS or developer tools environment, and you've seen enough audit cycles to know where the sharp edges are - Framework-fluent and privacy-aware — you have deep hands-on experience with SOC 2 and ISO 27001, understand how privacy regulations like GDPR and CCPA intersect with security controls, and can reason about new frameworks from first principles - A builder, not just an operator — you see manual compliance work as a problem to be designed away, default to scalable processes over manual workflows, have used tools like Vanta, Drata, or similar platforms to do it - A trusted partner, internally and externally — you work fluidly with engineering, legal, and customers alike; you can explain a control design to a skeptical customer, draft a crisp policy, and write a risk summary leadership will actually read - Autonomy-oriented — you're comfortable operating with significant independence, setting your own priorities, and knowing when to loop in leadership, without needing to be managed closely - Pragmatic over procedural — you optimize for reducing real risk, not checking boxes, and you know the difference Tools & environment This role sits close to the product and infrastructure we build. You don't need to be an engineer, but you should be comfortable navigating technical systems and working directly with the teams that build them. Our stack runs on Google Cloud with k8s, Postgres, and Node — understanding how it's put together matters for scoping controls and audits. For day-to-day work, we use: - Linear, GitHub, Slack, and Google Workspace for collaboration - Claude and ChatGPT for general AI tasks - Vanta for compliance automation and evidence collection What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think & work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our high level security features: Safe, secure, and private https://linear.app/security - Our customer-facing trust content: Linear’s Trust Center https://trust.linear.app/ - Outcomes of a recent incident: Post mortem on Linear security incident on March 24th, 2026 https://linear.app/now/linear-incident-on-mar-24th-2026 - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent Series C Fundraise https://linear.app/now/building-our-way and Giving our team liquidity https://linear.app/now/giving-our-team-liquidity-through-linear-s-first-tender-offer Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.", "summaryDescription" : "Compliance & Trust Lead at Linear. Skills: Compliance, Risk management, Legal analysis. Oversee compliance programs. 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Skills: HFT trading, Market making, Quantitative finance. Execute high-frequency trades. 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External partners; Enterprise customers; Regulators; Internal product teams; Emerging identity networks; Product teams; Engineering teams; Compliance teams; Customer Success teams", "projectManagementSkills" : [ "Program management", "Product management" ], "domainKnowledge" : "Digital identity; Fraud prevention; Trust services; Identity ecosystems; Digital identity wallets; Electronic signatures; Government-backed identity networks", "domainList" : [ "digital-identity", "fraud-prevention", "trust-services", "identity-ecosystems", "digital-identity-wallets", "electronic-signatures", "government-backed-identity-networks" ], "domainSpecificKnowledge" : [ "Digital identity", "Fraud prevention", "Trust services", "Identity ecosystems", "Digital identity wallets", "Electronic signatures", "Government-backed identity networks" ], "communicationSkills" : "Written communication; Explain complex topics", "documentationSkills" : "Build documentation", "continuousLearning" : "Professional development stipend", "problemSolvingSkills" : "Build from first principles; Create order where none exists", "qualificationsBasic" : "4+ years program management, 4+ years product management, 4+ years partnerships, 4+ years operations, Experience owning complex, cross-functional initiatives, Experience working with external partners, Experience working with vendors, Experience working with strategic relationships, Comfort operating in ambiguous environments, Organizational and execution skills", "qualificationsPreferred" : "Product mindset", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Persona Persona https://withpersona.com/ is the configurable identity platform built for businesses in a digital-first world. Verifying individuals and organizations is harder — but more important — than ever, with AI enabling fraudsters to launch sophisticated accounts at scale and regulations evolving rapidly. We’ve built Persona to support practically every use case and industry — that’s why we’re able to serve a wide range of leading companies. For example, Reddit relies on Persona for age assurance and verification to comply with online safety regulations, protecting younger users while maintaining a seamless experience. Meanwhile, OpenAI relies on Persona to keep bad actors out, protecting one of the world’s most powerful AI platforms from large-scale abuse in a time when AI is reshaping the way we work and live. We’re growing rapidly and looking for exceptional people to join us! ABOUT THE ROLE AI is changing how trust works on the internet. As fraud becomes more sophisticated and digital identity ecosystems continue to evolve, governments, financial institutions, and technology companies are building entirely new ways for people to prove who they are online. Persona sits at the center of that transformation. We're looking for a Program Manager, Trust Infrastructure to help build and scale a growing portfolio of initiatives spanning digital identity, fraud prevention, trust services, strategic partnerships, and emerging identity ecosystems across Europe. This role is part product manager, part operator, and part ecosystem builder. You'll work across external partners, enterprise customers, regulators, internal product teams, and emerging identity networks to bring new capabilities to market and turn ambiguity into scalable systems. Some of that work involves technologies and programs such as digital identity wallets, electronic signatures, and government-backed identity networks. But the bigger challenge is helping define how trust infrastructure should work in a world where proving you're a real person is becoming both more important and more difficult. We're looking for someone who loves building from first principles, thrives in fast-moving environments, and gets excited by the opportunity to create order where none exists yet. WHAT YOU'LL DO AT PERSONA - Own strategic relationships with trust, identity, and infrastructure partners across Europe, including onboarding, governance, operational performance, and commercial alignment. - Lead complex customer implementations involving digital identity, trust, and verification capabilities. - Build the documentation, playbooks, and operating systems that allow the business to scale efficiently. - Translate evolving regulatory and ecosystem developments into actionable plans with clear owners and timelines. - Represent Persona in emerging identity ecosystems and strategic industry initiatives. - Consolidate fragmented workstreams into well-run programs with clear accountability and visibility. - Identify opportunities to automate, productize, or simplify operational processes. - Partner closely with Product, Engineering, Compliance, Customer Success, and external stakeholders to bring new capabilities to market. WHAT YOU'LL BRING TO PERSONA - 4+ years of experience in program management, product management, partnerships, operations, or a similar role. - Experience owning complex, cross-functional initiatives involving multiple stakeholders and competing priorities. - Strong written communication skills and the ability to explain complex topics clearly. - Experience working with external partners, vendors, or strategic relationships. - Comfort operating in ambiguous environments where not every process already exists. - Strong organizational and execution skills without becoming overly process-driven. - Fluency with AI tools and a track record of using them to accelerate research, communication, analysis, or execution. - A product mindset—you naturally look for opportunities to simplify, automate, and scale. Benefits and Perks For full-time US-based employees (excluding internship and contractor opportunities), Persona offers a wide range of benefits, including medical, dental, and vision, 3% 401(k) contribution, unlimited PTO, quarterly mental health days, family planning benefits, professional development stipend, wellness benefits, among others. For full-time UK employees, Persona offers a wide range of benefits, including private medical insurance, dental insurance, a 6% employer pension contribution, unlimited PTO, a monthly wellness stipend, professional development stipend, co-working stipend, and more. While we believe competitive compensation and benefits are a critical aspect of you deciding to join us, we do hope you consider why our core values and culture are right for you. If you’d like to better understand what it’s like working at Persona, feel free to check out our reviews on Glassdoor https://www.glassdoor.com/Overview/Working-at-Persona-Identities-EI_IE4135645.11,29.htm.", "summaryDescription" : "Program Manager, Trust Infrastructure (UK) at Persona. Skills: Digital identity, Fraud prevention, Trust services, Strategic partnerships. Own strategic relationships with partners. 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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. 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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" : 564.60205, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a7c3174d8ee00a066516b", "title" : "Tech Lead - Decision Technology", "company" : "iwoca", "industry" : "Software Engineering and Tech", "salary" : { "min" : 100000.0, "max" : 160000.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-14T21:47:26.109", "fingerprint" : "397adfc6fb3729c2d4d6d73ca952ee80b0d40b337d74da8faffaac1b15b79798", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/iwoca.co.uk/8d1a18e8-8a89-460b-b411-d7bfb05e7add/application", "externalId" : "8d1a18e8-8a89-460b-b411-d7bfb05e7add", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "London, United Kingdom; United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, Snowflake, PostgreSQL", "professionalSkills" : [ "Credit Risk modelling", "System design", "Technical leadership", "Line management" ], "hardSkillsList" : [ "Software development", "System architecture", "Data analysis", "Credit scoring", "Scorecard development", "Portfolio monitoring" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Credit scoring", "level" : "intermediate" }, { "name" : "Scorecard development", "level" : "intermediate" }, { "name" : "Portfolio monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Credit Risk, Decision Technology, Platform engineering", "majorSkillsList" : [ "Credit Risk", "Decision Technology", "Platform engineering" ], "coreResponsibilities" : "Lead four engineers, Help team deliver high-quality solutions, Raise engineering standards, Focus on reliability, Focus on observability, Focus on reproducibility, Focus on safe change, Set technical direction, Understand adjacent systems, Identify right problems to solve, Stay hands-on in codebase, Approach problems, Balance rigour with speed, Contribute directly to systems, Reduce friction, Strengthen platform, Improve reliability in production, Maintain feedback loop, Work with data scientists, Work with strategy analysts", "teamCollaboration" : "Cross-functional projects; Data scientists; Strategy analysts", "domainKnowledge" : "Credit Risk; SME finance; Data science; Event-sourced data models", "domainList" : [ "credit-risk", "sme-finance", "data-science", "event-sourced-data-models" ], "domainSpecificKnowledge" : [ "Credit Risk", "SME finance", "Data science", "Event-sourced data models" ], "toolProficiency" : [ "AI tools" ], "continuousLearning" : "Learning and development budget; Company-wide talks; Access to learning platforms", "problemSolvingSkills" : "Challenge assumptions; Discover underlying problems", "outcomesObjectives" : "Maximise lending volume; Support one million SMEs", "qualificationsBasic" : "Advanced proficiency in software development, Experience building and shaping large systems, Experience building robust systems with high-quality data, Confidence to work closely with partners, Demonstrable leadership skills, Mentored juniors, Inspired teams to deliver cross-functional projects, Balance hands-on coding with strategic planning, Use AI in daily flow", "qualificationsPreferred" : "Numerical or technical background, Degree in physics, engineering, maths, computer science, Experience building and maintaining analytics systems, Experience with Python, Experience with Snowflake, Experience with PostgreSQL, Experience working on feature-management systems, Understanding of complex data systems, Experience with event-sourced data models", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Tech Lead - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring – all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you’ll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You’ll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands-on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership - Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high-quality solutions. - Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. - Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. INDIVIDUAL CONTRIBUTION - Stay hands-on in the codebase, especially when the team is dealing with ambiguity, cross-system complexity, or problems without an obvious owner. - Lead by example in how problems are approached and how rigour is balanced with speed of delivery. - Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. WORK THAT MATTERS - Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. - Better infrastructure leads to faster experimentation and better models - Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential: - Advanced proficiency in software development. - Experience building and shaping large systems in complex business domains. - Experience building robust systems where the 'product' is high-quality data and you can 'speak the language' of analysts and data scientists. - Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. - Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross-functional projects. You can balance hands-on coding with strategic planning. - You use AI (like Cursor, Claude Code or similar) in your daily flow—whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high-stakes decision-making. Bonus: - A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field - Experience building and maintaining analytics systems - Experience with Python, Snowflake, or PostgreSQL - Experience working on feature-management systems such as feature services or features stores - An understanding of complex data systems, including event-sourced data models The salary We expect to pay from £100,000 - £160,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: - Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. - Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits - Flexible working hours. - Medical insurance from Vitality, including discounted gym membership. - A private GP service (separate from Vitality) for you, your partner, and your dependents. - 25 days’ holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. - A one-month, fully paid sabbatical after four years. - Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. - 3% Pension contributions on total earnings. - An employee equity incentive scheme. - Generous parental leave and a nursery tax benefit scheme to help you save money. - Electric car scheme and cycle to work scheme. - Two company retreats a year: we’ve been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: - A learning and development budget for everyone. - Company-wide talks with internal and external speakers. - Access to learning platforms like Treehouse. Useful links: - iwoca benefits & policies https://coda.io/@iwocauk/iwoca-benefits-policies-uk - Interview welcome pack https://coda.io/@iwocauk/interview-welcome-pack-tap.", "summaryDescription" : "Tech Lead - Decision Technology at iwoca. Skills: Credit Risk, Decision Technology, Platform engineering. Lead four engineers. Help team deliver high-quality solutions", "postedDate" : "2026-06-11T22:49:06.476", "createdAt" : "2026-06-11T22:49:06.476", "lastUpdated" : "2026-06-14T21:47:26.109", "ingestTimestamp" : "2026-06-11T22:49:06.476", "mongoId" : "6a2a7c3174d8ee00a066516b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Software development", "System architecture", "Data analysis", "Credit scoring", "Scorecard development", "Portfolio monitoring", "Leadership", "Credit Risk", "Decision Technology", "Platform engineering", "Credit Risk modelling", "System design", "Technical leadership", "Line management", "SME finance", "Data science", "Event-sourced data models", "AI tools" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering-and-tech", "dataQualityScore" : 1.0, "_score" : 559.28436, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2ca57f74d8ee00a09b6d73", "title" : "Co-op, LLMs for Decision Making", "company" : "Lila Sciences", "industry" : "Technology", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level internships in biotech in Cambridge, MA, adjusted for company size and industry." }, "location" : "Alewife, Cambridge, MA", "locations" : [ "Alewife", "Cambridge", "MA" ], "timestamp" : "2026-06-15T07:49:22.030", "fingerprint" : "8aa6e30ddf9a8b2eadf3ae3e448b248c63be6cc14b122f26db266e7746d79865", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lilasciences/jobs/4280808009", "externalId" : "4280808009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Master's", "technicalSkills" : "Python, PyTorch, JAX, Large language models", "professionalSkills" : [ "Decision making", "Experimental design", "ML tasks", "ML metrics" ], "hardSkillsList" : [ "Bayesian methods", "Bayesian optimization", "Probabilistic modeling", "LLM fine-tuning", "LLM benchmarking", "Active learning", "Design of experiments", "Multi-objective optimization", "Batch Bayesian optimization" ], "hardSkills" : [ { "name" : "Bayesian methods", "level" : "intermediate" }, { "name" : "Bayesian optimization", "level" : "intermediate" }, { "name" : "Probabilistic modeling", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" }, { "name" : "LLM benchmarking", "level" : "intermediate" }, { "name" : "Active learning", "level" : "intermediate" }, { "name" : "Design of experiments", "level" : "intermediate" }, { "name" : "Multi-objective optimization", "level" : "intermediate" }, { "name" : "Batch Bayesian optimization", "level" : "intermediate" } ], "majorSkills" : "LLMs, Bayesian optimization, Decision making, Experimental design", "majorSkillsList" : [ "LLMs", "Bayesian optimization", "Decision making", "Experimental design" ], "coreResponsibilities" : "Contribute to LLM-based decision-making methods, Prototype LLM reasoning approaches, Prototype Bayesian optimization approaches, Prototype active learning approaches, Prototype design of experiments approaches, Build evaluation frameworks, Benchmark LLM-augmented strategies, Integrate promising methods, Document findings, Share results", "teamCollaboration" : "ML teams; Physical science teams", "domainKnowledge" : "Physical sciences; Life sciences; Bayesian optimization; Active learning; Design of experiments; Materials science; Chemistry; Catalysis; Batteries; Electrochemistry", "domainList" : [ "physical-sciences", "life-sciences", "bayesian-optimization", "active-learning", "design-of-experiments", "materials-science", "chemistry", "catalysis", "batteries", "electrochemistry" ], "domainSpecificKnowledge" : [ "Physical sciences", "Life sciences", "Bayesian optimization", "Active learning", "Design of experiments", "Materials science", "Chemistry", "Catalysis", "Batteries", "Electrochemistry" ], "toolProficiency" : [ "PyTorch", "JAX" ], "communicationSkills" : "Clear communication; Presentations", "documentationSkills" : "Write-ups; Internal libraries", "innovationCreativity" : "Prototyping", "problemSolvingSkills" : "Analyze results", "qualificationsBasic" : "Master's or PhD, Python programming skills, Bayesian methods experience, Bayesian optimization experience, Probabilistic modeling experience, Large language models experience", "qualificationsPreferred" : "Active learning experience, Design of experiments experience, Multi-objective optimization experience, Batch Bayesian optimization experience, Agentic frameworks familiarity, Structured-output techniques familiarity, Physical science applications exposure, LLMs with optimization experience, LLMs with planning experience, LLMs with decision making experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our decision making efforts develop the algorithms that drive experimental decision-making, closing the loop between models, experiments, and the next thing to try. We're now exploring how large language models can extend that capability: encoding domain priors, proposing candidates, reasoning over campaign history, and pairing naturally with established algorithms like Bayesian optimization for sample-efficient search. As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled experimental design. Your work will land in the decision making stack that powers experimental campaigns across Lila's AI Science Facilities. What You'll Be Building Contribute to LLM-based decision-making methods for experimental campaigns, focused on a well-defined sub-problem Prototype approaches that combine LLM reasoning with Bayesian optimization, active learning, or design of experiments, with mentor guidance Build evaluation frameworks that benchmark LLM-augmented strategies against established Bayesian baselines Help integrate promising methods into the decision making stack used across physical sciences campaigns Document findings and share results through write-ups, presentations, or contributions to internal libraries What You'll Need to Succeed Pursuing a Master's or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics, Chemistry, Materials Science, or a related quantitative field Strong programming skills in Python and familiarity with ML frameworks such as PyTorch, JAX, or similar Foundation in Bayesian methods, Bayesian optimization, or probabilistic modeling Experience with large language models including fine-tuning, test-time compute, and benchmarking in applied settings Ability to turn open-ended scientific decision-making questions into concrete ML tasks with clear baselines and metrics Comfort iterating on experiments and analyzing results in research-style codebases Clear communication and interest in collaborating across ML and physical science teams Bonus Points For Experience with active learning, design of experiments, multi-objective optimization, or batch Bayesian optimization in scientific problem settings Familiarity with agentic frameworks and structured-output techniques for scientific reasoning Exposure to physical science applications such as materials, chemistry, catalysis, batteries, electrochemistry, or related domains Prior work pairing LLMs with optimization, planning, or decision making processes About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.", "summaryDescription" : "Co-op, LLMs for Decision Making at Lila Sciences. Skills: LLMs, Bayesian optimization, Decision making, Experimental design. Contribute to LLM-based decision-making methods. Prototype LLM reasoning approaches", "postedDate" : "2026-06-13T21:48:06.886", "createdAt" : "2026-06-13T21:48:06.886", "lastUpdated" : "2026-06-15T07:49:22.030", "ingestTimestamp" : "2026-06-13T21:48:06.886", "mongoId" : "6a2ca57f74d8ee00a09b6d73", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Bayesian methods", "Bayesian optimization", "Probabilistic modeling", "LLM fine-tuning", "LLM benchmarking", "Active learning", "Design of experiments", "Multi-objective optimization", "Batch Bayesian optimization", "LLMs", "Decision making", "Experimental design", "ML tasks", "ML metrics", "Physical sciences", "Life sciences", "Materials science", "Chemistry", "Catalysis", "Batteries", "Electrochemistry", "PyTorch", "JAX" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 558.27234, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "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" : 557.3528, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2a84a674d8ee00a067979b", "title" : "Lead Decision Scientist (Web)", "company" : "Life360", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 230000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Decision Scientist in Canada, adjusted for the technology industry and remote work." }, "location" : "Remote, Canada", "locations" : [ "Remote", "Canada", "Remote", "USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-14T20:27:52.527", "fingerprint" : "4354d1046bbfe43267577280ee34c6d44b3c88ab08c9e8edd093b8caaf9e70db", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/life360/jobs/8586935002", "externalId" : "8586935002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, Spark, dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Google Tag Manager, Tealium", "professionalSkills" : [ "Decision science", "Web analytics", "Statistical inference", "Causal inference", "Experimentation", "User experience", "Metrics strategy", "AI strategy" ], "hardSkillsList" : [ "Statistical analysis", "A/B testing", "Multivariate testing", "Event instrumentation", "Data modelling" ], "softSkillsList" : [ "Problem-solving", "Ownership", "Curiosity", "Initiative" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Multivariate testing", "level" : "intermediate" }, { "name" : "Event instrumentation", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Ownership" }, { "name" : "Curiosity" }, { "name" : "Initiative" } ], "majorSkills" : "Decision Science, Web Analytics, Statistical Inference, Experimentation", "majorSkillsList" : [ "Decision Science", "Web Analytics", "Statistical Inference", "Experimentation" ], "coreResponsibilities" : "Partner with DTC, web product, web engineering, marketing,, Own analytical narrative for assigned area, Deliver insights to change roadmaps, Deliver insights to change resource allocation, Shape AI-native organization tools, Shape AI-native organization workflows, Diagnose user experiences, Evaluate user experiences, Establish causality, Scale experimentation program, Implement event instrumentation, Translate insights into action, Develop metrics strategies, Implement metrics strategies, Build explanations on top of measurement, Ground analysis in user motivation, Use AI to multiply impact, Use coding agents, Use automated analysis", "teamCollaboration" : "Cross-functional teams; Web product teams; Web engineering teams; Marketing teams; Finance teams; UI/UX teams; Product teams; Data engineers; Data scientists; ML engineers", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Web product; Subscription models; Freemium models; Multi-market analytics; Growth analytics; Retention analytics; Lifecycle analytics; LTV modeling; Incrementality testing; Marketing mix modeling", "domainList" : [ "web-product", "subscription-models", "freemium-models", "multi-market-analytics", "growth-analytics", "retention-analytics", "lifecycle-analytics", "ltv-modeling", "incrementality-testing", "marketing-mix-modeling" ], "domainSpecificKnowledge" : [ "Web product", "Subscription models", "Freemium models", "Multi-market analytics", "Growth analytics", "Retention analytics", "Lifecycle analytics", "LTV modeling", "Incrementality testing", "Marketing mix modeling" ], "toolProficiency" : [ "Claude Code" ], "communicationSkills" : "Storytelling; Presentations", "continuousLearning" : "Learning & Development programs", "innovationCreativity" : "AI-native development", "problemSolvingSkills" : "Problem-solving mindset; Structure ambiguous problems", "outcomesObjectives" : "Decisions, not dashboards; Actionable insights", "qualificationsBasic" : "5+ years experience, Proficiency in SQL, Proficiency in Python/R", "qualificationsPreferred" : "PhD preferred, Experience with subscription models, Familiarity with international analytics, Server-Side GTM/Tealium deployment, Experience building dbt models, Background in growth analytics, Background in retention analytics, Background in lifecycle analytics, Experience with LTV modeling, Experience with incrementality testing, Experience with marketing mix modeling", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About the Team No other team at Life360 touches every product decision, every experiment, and every revenue lever. Data & Analytics is a 60+ person organization spanning data engineering, analytics engineering, data science, and ML. We're building it to be AI-native, where automation handles the volume so our people can focus on understanding why users behave the way they do, establishing what actually causes what, and turning those findings into action. About the Job We're hiring a Lead Decision Scientist (web) to be a strategic partner embedded with Direct To Consumer (DTC), web product, web engineering, marketing, and finance teams. People who shape what gets built, how we grow, and where we invest. You'll own the analytical narrative for your area and deliver insights that directly change roadmaps and resource allocation. The output is decisions, not dashboards. You'll also help make the AI-native organization a reality, shaping the tools and workflows that let automation take on more so the team can go deeper. This is not a production ML role (we have a dedicated Data Science / MLE team for that). Your primary tools are statistical inference, clear thinking, and the judgment to know which question matters most. You'll report into the Director, Marketing Analytics and work alongside marketers, product managers, data engineers, data scientists, and ML engineers. For candidates based in the US, the salary range for this position is $133,000 to $195,000 USD. For candidates based out of Canada, the salary range for this position is 147,500 to 173,000 CAD. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You'll Do Be the strategic thought partner for cross-functional teams (DTC, web PMs, web engineers, marketing, finance). You architect and evangelize the web analytics roadmaps, and you notice the gap between what the data shows and what the team assumes. Tell stories that move teams to act. You diagnose and evaluate full-funnel user experiences—from initial traffic acquisition across paid media/SEO down to cart page and checkout micro-conversions. You'll present to leadership and working teams with clear narratives and a point of view. A great insight that nobody acts on is a failed insight. Establish causality with the right tools for the situation, including A/B testing, analytics, and causal inference. Act as the partner for UI/UX and product teams to scale an agile, statistically sound multivariate experimentation program. You work with engineering to implement event instrumentation and with Product to translate insights into action. Work backward from an understanding of how users experience our website to develop and implement metrics strategies that measure what matters to our users and our business. This enables a deep understanding of our users and their motivation, in a complex ecosystem with multi-user engagement and many ways to interact with our product. Build explanations on top of measurement, always grounding analysis in the reality that users are people with motivations and context the data alone won't tell you. Use AI to multiply your impact. You'll use coding agents and automated analysis daily, and help shape what our AI-native analytics stack looks like, contributing to how we move from reactive to proactive to autonomous. What We're Looking For Core Expectations Problem-solving mindset: You structure ambiguous problems precisely before reaching for a tool, AI or otherwise. Ownership mentality: You take responsibility for your work from framing the question through delivering the recommendation and tracking its impact. AI-native working style: You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams. Curiosity and initiative: You don't wait for the roadmap to tell you what to analyze. You dig into data because you're genuinely curious about how things work. Desired Experience & Qualifications 6+ years in an analytics, data science, or decision science role at a consumer tech company Advanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experience Demonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching) Track record of influencing product or business strategy through data, with specific examples of cross-functional impact Experience with experimentation platforms (Statsig, Optimizely, or similar) Proficiency in Google Analytics 4 (GA4) and/or Adobe Analytics Experience with Data Engineering to ingest web event streams into a centralized data environment Proficiency in SQL and Python/R for statistical analysis Preferred Qualifications Experience with subscription or freemium business models Familiarity with international / multi-market analytics Proficiency in Google Tag Manager (GTM) or Tealium (Server-Side deployment experience heavily preferred). Experience building dbt models or contributing to analytics engineering workflows Background in growth, retention, or lifecycle analytics Experience with LTV modeling, incrementality testing, or marketing mix modeling Our Benefits Competitive pay and benefits. Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Employee Assistance Program (EAP) for mental wellness. Flexible PTO and 12 company wide days off throughout the year. Winter and Summer Weeklong Synchronized Company Shutdowns Learning & Development programs. Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership for your preferred circle. Free Tile Products Life360 Values Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote ____________________________________________________________________________", "summaryDescription" : "Lead Decision Scientist (Web) at Life360. Skills: Decision Science, Web Analytics, Statistical Inference, Experimentation. Partner with DTC, web product, web engineering, marketing,. Own analytical narrative for assigned area", "postedDate" : "2026-06-11T20:25:53.123", "createdAt" : "2026-06-11T20:25:53.123", "lastUpdated" : "2026-06-14T20:27:52.527", "ingestTimestamp" : "2026-06-11T20:25:53.123", "mongoId" : "6a2a84a674d8ee00a067979b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "A/B testing", "Multivariate testing", "Event instrumentation", "Data modelling", "Problem-solving", "Ownership", "Curiosity", "Initiative", "Decision Science", "Web Analytics", "Statistical Inference", "Experimentation", "Decision science", "Web analytics", "Statistical inference", "Causal inference", "User experience", "Metrics strategy", "AI strategy", "Roadmap planning", "Web product", "Subscription models", "Freemium models", "Multi-market analytics", "Growth analytics", "Retention analytics", "Lifecycle analytics", "LTV modeling", "Incrementality testing", "Marketing mix modeling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "Claude Code" ], "skillCount" : 36, "jobCategory" : "other", "jobSubcategory" : "analytics", "dataQualityScore" : 0.8888889, "_score" : 554.7264, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "6a2a84a674d8ee00a06797d2", "title" : "Staff Decision Scientist (International)", "company" : "Life360", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Decision Scientist in London, UK, adjusted for executive seniority and the technology industry." }, "location" : "London, UK", "locations" : [ "London", "UK" ], "timestamp" : "2026-06-14T19:40:43.626", "fingerprint" : "13dd11b6824b35d66ad1ed766b0ed5350ee72c6464f562ce1bee9056e4fb7a12", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/life360/jobs/8586639002", "externalId" : "8586639002", "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, dbt", "professionalSkills" : [ "Decision science", "Statistical inference", "Causal inference", "Experimental rigor", "Growth analytics", "Retention analytics", "Lifecycle analytics", "LTV modeling", "Incrementality testing", "Marketing mix modeling" ], "hardSkillsList" : [ "Statistical analysis", "Causal inference methods", "Experimentation platforms", "SQL", "Python", "R" ], "softSkillsList" : [ "Problem-solving mindset", "Ownership mentality", "Curiosity", "Initiative" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Causal inference methods", "level" : "intermediate" }, { "name" : "Experimentation platforms", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "R", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving mindset" }, { "name" : "Ownership mentality" }, { "name" : "Curiosity" }, { "name" : "Initiative" } ], "majorSkills" : "Decision science, Causal inference, Statistical inference, Experimentation", "majorSkillsList" : [ "Decision science", "Causal inference", "Statistical inference", "Experimentation" ], "coreResponsibilities" : "Own analytical narrative for Operating Group, Be strategic thought partner, Set agenda for highest-leverage questions, Tell stories that move teams to act, Present to leadership and working teams, Establish causality with A/B testing, Implement event instrumentation, Translate insights into action, Define metrics strategies, Develop measurement frameworks, Build explanations on top of measurement, Shape AI-native analytics stack, Lead evaluation and adoption of new tools, Enable self-serve across OG, Mentor senior ICs on causal thinking, Mentor senior ICs on experimental rigor, Mentor senior ICs on AI-leveraged workflows", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Marketing teams; Finance teams; Leadership teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Consumer tech; Subscription models; Freemium models; Multi-market analytics", "domainList" : [ "consumer-tech", "subscription-models", "freemium-models", "multi-market-analytics" ], "domainSpecificKnowledge" : [ "Consumer tech", "Subscription models", "Freemium models", "Multi-market analytics" ], "toolProficiency" : [ "Statsig", "Optimizely" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Learning & Development programmes", "innovationCreativity" : "AI-native organization", "problemSolvingSkills" : "Structure ambiguous problems; Root cause analysis", "outcomesObjectives" : "Decisions, not dashboards; Decisions changed, not analyses delivered", "qualificationsBasic" : "8+ years analytics/data science/decision science, Advanced degree in quantitative field or equivalent experience, Demonstrated experience with causal inference methods, Track record of influencing product/business strategy, Experience with experimentation platforms, Proficiency in SQL, Proficiency in Python/R for statistical analysis", "qualificationsPreferred" : "Experience with subscription/freemium business models, Familiarity with international/multi-market analytics, Experience building dbt models, Experience with LTV modeling, Experience with incrementality testing, Experience with marketing mix modeling", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About the Team No other team at Life360 touches every product decision, every experiment, and every revenue lever. Data & Analytics is a 60+ person organization spanning data engineering, analytics engineering, data science, and ML. We're building it to be AI-native, where automation handles the volume so our people can focus on understanding why users behave the way they do, establishing what actually causes what, and turning those findings into action. About the Job We're hiring a Staff Decision Scientist to be strategic partners embedded with product, engineering, marketing, and finance teams. People who shape what gets built, how we grow, and where we invest. You'll own the analytical narrative for your area and deliver insights that directly change roadmaps and resource allocation. The output is decisions, not dashboards. You'll also help make the AI-native organization a reality, shaping the tools and workflows that let automation take on more so the team can go deeper. This is not a production ML role (we have a dedicated Data Science / MLE team for that). Your primary tools are statistical inference, clear thinking, and the judgment to know which question matters most. You'll report into the Data & Analytics leadership team and work alongside data engineers, data scientists, and ML engineers. This role is based in Central London with a hybrid model of remote and in person/office meetings. The UK-based salary range for this position is £99,500 - 117,500 with an additional equity grant. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. What You'll Do Own the analytical narrative for your Operating Group (OG). Be the strategic thought partner across cross-functional teams (PMs, engineers, marketing, finance). You understand the roadmaps and users, and you set the agenda for the highest-leverage questions the OG should be asking. Tell stories that move teams to act. You'll present to leadership and working teams with clear narratives and a point of view. A great insight that nobody acts on is a failed insight. Establish causality with the right tools for the situation, including A/B testing, analytics, and causal inference. You work with engineering to implement event instrumentation and with Product to translate insights into action. Define metrics strategies that measure what matters. Work backward from how users experience the product to develop and implement the measurement frameworks for your OG, in a complex ecosystem with multi-user engagement and many ways to interact with the product. Build explanations on top of measurement, always grounding analysis in the reality that users are people with motivations and context the data alone won't tell you. Shape the AI-native analytics stack. Lead evaluation and adoption of new tools, agent workflows, and practices that enable self-serve across the OG and move the team from reactive to proactive to autonomous. Mentor senior ICs on causal thinking, experimental rigor, and AI-leveraged workflows. Raise the ceiling of the craft. What We're Looking For Core Expectations Problem-solving mindset: You structure ambiguous problems precisely before reaching for a tool, AI or otherwise. Ownership mentality: You take responsibility from framing the question through delivering the recommendation and tracking its impact. You're accountable for decisions changed, not analyses delivered. AI-native working style: You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams. Curiosity and initiative: You don't wait for the roadmap to tell you what to analyze. You dig into data because you're genuinely curious about how things work. Influence at scale: You've shaped strategy at the business unit level by framing the right question and making the evidence impossible to ignore. Desired Experience & Qualifications 8+ years in an analytics, data science, or decision science role at a consumer tech company Advanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experience Demonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching) Track record of influencing product or business strategy through data, with specific examples of cross-functional impact Experience with experimentation platforms (Statsig, Optimizely, or similar) Proficiency in SQL and Python/R for statistical analysis Preferred Qualifications Experience with subscription or freemium business models Familiarity with international / multi-market analytics Experience building dbt models or contributing to analytics engineering workflows Background in growth, retention, or lifecycle analytics Experience with LTV modeling, incrementality testing, or marketing mix modeling Our Benefits Industry leading compensation Hybrid working in central London with flexibility to do remote working weeks Generous holiday options with flexible PTO Bi-annual company retreats Learning & Development programmes Private comprehensive health & dental insurance Employee assistance programme for mental well being Free Life360 Platinum Membership for your preferred circle Free Tile Products Life360 Values Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote ____________________________________________________________________________", "summaryDescription" : "Staff Decision Scientist (International) at Life360. Skills: Decision science, Causal inference, Statistical inference, Experimentation. Own analytical narrative for Operating Group. Be strategic thought partner", "postedDate" : "2026-06-12T00:31:57.287", "createdAt" : "2026-06-12T00:31:57.287", "lastUpdated" : "2026-06-14T19:40:43.626", "ingestTimestamp" : "2026-06-12T00:31:57.287", "mongoId" : "6a2a84a674d8ee00a06797d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Causal inference methods", "Experimentation platforms", "SQL", "Python", "R", "Problem-solving mindset", "Ownership mentality", "Curiosity", "Initiative", "Decision science", "Causal inference", "Statistical inference", "Experimentation", "Experimental rigor", "Growth analytics", "Retention analytics", "Lifecycle analytics", "LTV modeling", "Incrementality testing", "Marketing mix modeling", "Roadmap planning", "Consumer tech", "Subscription models", "Freemium models", "Multi-market analytics", "Statsig", "Optimizely" ], "skillCount" : 28, "jobCategory" : "other", "jobSubcategory" : "analytics", "dataQualityScore" : 0.8888889, "_score" : 553.50195, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3056c5f292fd229cf2e729", "title" : "Building Engineer", "company" : "Sphere Entertainment Group", "salary" : { "min" : 45.0, "max" : 45.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Las Vegas, Nevada, United States", "locations" : [ "Las Vegas", "Nevada", "United States" ], "timestamp" : "2026-06-16T10:05:11.041", "fingerprint" : "aee9e76979da0e98a7fe91cf15b8931964b4145d7d5e9a09f0c761217ad12dea", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.sphereentertainmentco.com/job/5162775007?gh_jid=5162775007", "externalId" : "5162775007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Las Vegas", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1674263,-115.1484131" } ], "locationText" : "Las Vegas, Nevada, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Manage building operations, Oversee maintenance activities, Ensure safety compliance, Coordinate with vendors, Respond to facility issues, Maintain building systems, Manage operational budgets, Implement process improvements", "teamCollaboration" : "Cross-functional teams; External vendors; Building occupants", "domainKnowledge" : "Building systems; HVAC; Electrical systems; Plumbing systems; Fire safety", "domainList" : [ "building-systems", "hvac", "electrical-systems", "plumbing-systems", "fire-safety" ], "domainSpecificKnowledge" : [ "Building systems", "HVAC", "Electrical systems", "Plumbing systems", "Fire safety" ], "communicationSkills" : "Vendor communication; Occupant communication", "documentationSkills" : "Maintenance logs; Operational reports", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Maintain building systems; Ensure occupant safety; Control operational costs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sphere Entertainment Co. is a leader in immersive experiences, technology and media. The Company includes Sphere, an experiential medium powered by advanced technologies. The first Sphere opened in Las Vegas, with a second venue planned for Abu Dhabi. In addition, the Company includes MSG Networks, which operates two regional sports and entertainment networks, MSG Network and MSG Sportsnet, as well as a direct-to-consumer and authenticated streaming product, MSG+, delivering a wide range of live sports content and other programming. More information is available at www.sphereentertainmentco.com. Who are we hiring? The Building Engineer supports MSG Sphere with the daily operation of all building systems and will be engaged in operating, maintaining, and repairing all facility system equipment and machinery associated with HVAC, mechanical, electrical systems and will ensure to identify best practices for a safe and efficient environment for guests and employees. The Building Engineer will be qualified to perform service and repair of HVAC equipment, motors, pumps, air compressors, ice and refrigerating machines, boilers, exhaust fans, cooling towers and plumbing systems. Additionally, the building engineer will operate and monitor BMS, fire alarm, power monitoring, and lighting control systems and provide continuous documentation of alterations, maintenance, and repair. What will you do? Service, maintain and repair HVAC and refrigeration equipment, pumps, exhaust fans, air handlers, mini split AC units, boilers and all associated valves and controllers. Inspect and replace air filters, belts, bearings, and water filtration equipment. Perform plumbing repairs on all bathroom fixtures and valves both manual and automatic including toilets lavatories and urinals. Service all drain lines and operate drain cleaning machines, augers and water jet drain cleaning equipment Perform lighting repairs and troubleshoot lighting control circuits including drivers, dimmers, relays and wall stations. Service, maintain and repair kitchen and food service equipment, beverage dispensing systems, walk in coolers, and ice machines. Service, maintain and repair door locksets, cylinders, hinges, panic assemblies, door closers and associated hardware. Provide temporary power for event activations using portable power distribution boxes as needed. Operate and monitor fire life and safety systems such as sprinklers systems, fire pump, smoke control system, standby generator and all related appurtenances. Develops and ensures high level of service standards for the facility equipment as well as exceptional inter-departmental collaboration, communication and support. Provide exceptional experiences for our guests, partners, and team members, including by adhering to our appearance and presentation guidelines while on-site. What do you need to succeed? 3 to 5 years of experience as a Building Engineer preferably in an arena or public assembly environment. Able to operate a variety of aerial platforms, boom lifts and scissor lifts. Knowledge of HVAC/R troubleshooting. Strong communication skills. Read and interpret blueprints and schematic diagrams. Must be proficient in the safe use of trade related tools and equipment. Knowledge in high rise fire safety operation procedures and protocol. Locksmith skills a plus. Extensive knowledge of beverage systems (Carbonators, Soda Guns, Glycol Chillers) a plus. EPA section 608 universal technician certification. Special Requirements Must possess valid driver’s license. Must be willing to work nights weekends and holidays. Capable of reaching climbing and working off a ladder. Navigate efficiently under various environments and adapting to indoor and outdoor conditions. Able to perform tasks for extended periods of time. Must be able to lift 50 lbs. Able to acknowledge and retain information of critical machinery. Required to have completed the OSHA 10-Hour Training Course #LI-Onsite Hourly Pay Range $45—$45 USD At MSG, we recognize the importance of upskilling employees’ talents and strengths so they can drive their careers forward. We are proud to offer a robust set of tools and resources to help employees understand their interests and purpose, harness their talents and obtain the skills they need to reach the next step in their careers. Growth and longevity for our employees are top priorities here. We value diversity and are looking for extraordinary employees of all backgrounds! MSG is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, sexual and reproductive health choices, national origin, citizenship, age, genetic information, disability, or veteran status. MSG complies with all applicable federal, state, and local laws governing nondiscrimination, including considering requests for reasonable accommodations as required.", "summaryDescription" : "Building Engineer at Sphere Entertainment Group. Manage building operations. 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"is_estimated" : true, "estimation_basis" : "Market baseline for a Senior UX Survey Scientist in Boulder, United States, adjusted for seniority and industry." }, "location" : "[Boulder, CO, USA, [Boulder, CO, USA], Boulder, null, CO, US]", "locations" : [ "[Boulder, CO, USA, [Boulder, CO, USA], Boulder, null, CO, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[San Francisco, CA, USA, [San Francisco, CA, USA], San Francisco, null, CA, US]", "[Sunnyvale, CA, USA, [Sunnyvale, CA, USA], Sunnyvale, null, CA, US]" ], "timestamp" : "2026-06-16T11:54:31.335", "fingerprint" : "1cd260a2532fa73a41e014c4a72d1bef7fb85038c54cbac96b5bb051b746ae89", "source" : "google", "language" : "en", "externalId" : "85125878199001798", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boulder", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0149856,-105.2705450" } ], "locationText" : "Boulder, Colorado, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Senior UX Survey Scientist, Trusted Tester, gUP UXR", "postedDate" : "2026-06-16T01:50:04.546", "createdAt" : "2026-06-16T01:50:04.546", "lastUpdated" : "2026-06-16T11:54:31.335", "ingestTimestamp" : "2026-06-16T01:50:04.546", "mongoId" : "6a307f66f292fd229c058cb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "_score" : 546.15027, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051cdf292fd229cf07046", "title" : "Building Engineer", "company" : "Lincoln Property Company", "industry" : "Real Estate", "salary" : { "min" : 58000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Junior Building Engineer in Dallas, adjusted for industry and company size." }, "location" : "Dallas, Texas, United States", "locations" : [ "Dallas", "Texas", "United States" ], "certifications" : [ "HVAC certification", "Boiler license", "Electrical license", "Plumbing license" ], "timestamp" : "2026-06-16T08:01:20.784", "fingerprint" : "c9f6a8eff909a51ab2a1e59aacd2ebb652232177717c5e93898bc2f7958a7416", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lpc/jobs/5165041007", "externalId" : "5165041007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" 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logs, Ensure compliance with safety regulations, Assist with budget management", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Building systems; HVAC systems; Electrical systems; Plumbing systems", "domainList" : [ "building-systems", "hvac-systems", "electrical-systems", "plumbing-systems" ], "domainSpecificKnowledge" : [ "Building systems", "HVAC systems", "Electrical systems", "Plumbing systems" ], "toolProficiency" : [ "Building automation systems" ], "documentationSkills" : "Maintain building logs", "problemSolvingSkills" : "Troubleshoot building issues", "qualificationsBasic" : "2+ years experience, High School diploma or GED", "qualificationsPreferred" : "HVAC certification, Boiler license, Building automation systems experience, Electrical license, Plumbing license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Building Engineer I is responsible for maintaining, operating, and troubleshooting building systems, including HVAC, plumbing, and electrical systems, focusing on performing routine maintenance tasks, responding to tenant requests, and ensuring systems operate safely under the guidance of senior engineers. Essential Duties and Responsibilities: Perform scheduled maintenance, repairs, and inspections of building systems; address service requests, including hot/cold calls, plumbing issues, and lighting repairs. Troubleshoot minor equipment malfunctions and escalate issues as needed. Replace light fixtures, filters, and other components as required. Maintain accurate records of inspections and equipment performance. Interact with tenants, contractors, and property managers and work closely with senior engineers and technicians to support smooth building operations and resolve tenant issues. Assist with preventive maintenance tasks and contractor oversight. Conduct property inspections to identify deficiencies. Record equipment readings and ensure assigned building systems are operating according to standards. Follow company safety protocols and wear appropriate PPE; ensure compliance with OSHA, NEC, NFC, NFPA regulations; report safety hazards; participate in safety inspections. Provide guidance to junior Technicians when needed. Communicate verbally and in writing with teammates, leadership team, vendors, tenants, and client employees in a professional manner, keeping the appropriate customer(s) informed/updated as needed. Work closely with senior engineers to develop technical skills and participate in professional development programs to grow into advanced roles. Perform other duties as assigned. Qualifications: HS Diploma or GED required Two to three years of job related experience or commensurate certification/trade experience CFC Certification preferred or willingness to obtain as requested; possess engineering and trade licenses required according to local, state, or national requirements Basic working knowledge of laptop and phone applications for work order and facility operation systems as well as basic skills with Microsoft Outlook Familiar with fire/life safety equipment/procedures Proven track record for delivering excellent internal and external customer service; ability to successfully interact/communicate with tenants/vendors/contractors as well as teammates and leadership team Familiarity with blueprints and code requirements Ability to work after hours, weekends, holidays, and during emergency situations as necessary to meet the needs of the client Possess competent knowledge of use and care of tools Ability to read and write English in order to understand manuals and procedures, and to write reports. Exhibit a willingness to develop familiarity with HVAC, electrical, and plumbing systems and gain experience with BAS operation and troubleshooting. Physical Requirements: Ability to stand, walk, climb ladders, and lift up to 50 pounds; perform physically demanding tasks such as stooping, crouching, and kneeling. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  This position is 100% in-office. The role requires working in office during standard business hours. Remote work or telecommuting is not an option for this position. #IND123 Equal Opportunity Employment LPC is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. Candidate Accommodations LPC provides reasonable accommodations in job application procedures for individuals with disabilities. If you need assistance or an accommodation due to a disability, please contact Human Resources. Why Lincoln? At LPC you will be supported by a national firm where an entrepreneurial mindset is encouraged. You will be encouraged to explore your potential through training programs, mentorship, exciting work, fast-paced assignments, and an environment of constant learning and dedication to results. Our benefits package includes medical, dental, and vision insurance, 401(k), and paid time off. About Lincoln Property Company Lincoln Property Company (“Lincoln”) is one of the largest private real estate firms in the United States. Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, multifamily, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-use properties, throughout the United States, United Kingdom, and Europe. Lincoln’s combined management and leasing portfolio on behalf of institutional clients includes more than 680 million square feet of commercial space. For more information, visit: www.lpc.com. All job offers are contingent on completion of a background check and proof of eligibility to work in the United States. By submitting your information or resume in response to this opportunity, you acknowledge that your personal information will be handled in accordance with Lincoln Property Company's privacy policy. Lincoln Property Company does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by Lincoln Property Company to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that Lincoln Property Company will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. At this time, we are not working with any agencies.", "summaryDescription" : "Building Engineer at Lincoln Property Company. Skills: Building engineering, Maintenance, Operations. Perform routine inspections. Conduct preventative maintenance", "postedDate" : "2026-06-15T23:22:09.290", "createdAt" : "2026-06-15T23:22:09.290", "lastUpdated" : "2026-06-16T08:01:20.784", "ingestTimestamp" : "2026-06-15T23:22:09.290", "mongoId" : "6a3051cdf292fd229cf07046", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "HVAC repair", "Boiler operation", "Electrical systems", "Plumbing systems", "Building maintenance", "Building engineering", "Maintenance", "Operations", "Vendor management", "Budget management", "Preventative maintenance", "Building systems", "HVAC systems", "HVAC certification", "Boiler license", "Electrical license", "Plumbing license", "Building automation systems" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 545.16785, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306261f292fd229cf9a10c", "title" : "Pasta Maker", "company" : "Eataly North America", "industry" : "Food And Beverages", "salary" : { "min" : 18.0, "max" : 19.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, CA, United States", "locations" : [ "Los Angeles", "CA", "United States" ], "timestamp" : "2026-06-16T09:46:29.947", "fingerprint" : "cf3128aa50b62f7bae1d273e3c43e309c2961d389a53d4b76357ab3cbe2f9168", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Eataly/744000131240799-pasta-maker", "externalId" : "744000131240799", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "coreResponsibilities" : "Make pasta according to recipes, Weigh and package pasta, Advise guests on pasta choices, Ensure items are rotated, Maintain a clean work area, Meet Department of Health standards, Perform other duties as assigned", "domainKnowledge" : "Italian cuisine", "domainList" : [ "italian-cuisine" ], "domainSpecificKnowledge" : [ "Italian cuisine" ], "toolProficiency" : [ "Commercial mixer", "Pasta machine" ], "communicationSkills" : "Educating guests", "continuousLearning" : "Classes on products; Classes on Italian cuisine", "specialRequirements" : "Standing, Walking, Bending, Squatting", "qualificationsBasic" : "Availability to work onsite, Flexible schedule often including weekends, Ability to lift up to 50 pounds, Ability to exert well-paced mobility, Ability to operate equipment", "qualificationsPreferred" : "High school diploma or equivalent, Culinary degree preferred, 1+ year of experience as a cook, 1+ year of experience as a chef, Knowledge of Italian cuisine", "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 Pasta Maker creates fresh batches of pasta daily to be sold in the market and served in restaurants at an Eataly location. A Pasta Maker is also involved with educating guests on Eataly’s various pastas and providing customer service. Reports to the Fresh Pasta Lead. * Makes pasta according to Eataly’s recipes and high-quality standards * Weighs and packages pasta * Advises guests on pasta choices * Ensures all items are rotated according to First In First Out (FIFO) standards * Maintains a clean and sanitary work area that meets Department of Health standards * Performs other duties as required or assigned ## Qualifications * High school diploma or equivalent or culinary degree preferred * 1+ year of experience as a cook or chef preferred * Knowledge of Italian cuisine preferred Job Requirements * Availability to work onsite with a flexible schedule often including weekends * Ability to lift up to 50 pounds * Ability to exert well-paced mobility for up to 8 hours, including standing, walking, bending and squatting * Ability to operate equipment such as a commercial mixer and pasta machine ## 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! Pay rate is at $18 - $19 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" : "Pasta Maker at Eataly North America. Make pasta according to recipes. Weigh and package pasta", "postedDate" : "2026-06-09T23:16:17.000", "createdAt" : "2026-06-15T23:50:06.007", "lastUpdated" : "2026-06-16T09:46:29.947", "ingestTimestamp" : "2026-06-15T23:50:06.007", "mongoId" : "6a306261f292fd229cf9a10c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 39520, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Italian cuisine", "Commercial mixer", "Pasta machine" ], "skillCount" : 3, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 544.6491, "daysOld" : 6, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305713f292fd229cf338b7", "title" : "Building Manager", "company" : "FAM Brands", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Building Manager in the United States, adjusted for the Apparel & Fashion industry and company size." }, "location" : "Headquarters", "locations" : [ "Headquarters" ], "timestamp" : "2026-06-16T06:32:51.860", "fingerprint" : "89b731b89a62e2e6723bb81452d3a436c5993a5b503bcaae2357408217ec5155", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fambrands/jobs/5261351008", "externalId" : "5261351008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "rawDescription" : "Founded in 2000, FAM Brands designs, manufactures, and sells men’s and women’s sportswear and active wear apparel to major retailers, big box stores, and specialty boutiques across the country and throughout the world. Our portfolio of proprietary brands features Marika, Wildfox, Three Dots, and Balance Collection, while a partial list of licensing partners includes Orvis, Jessica Simpson, Eddie Bauer, and Woolrich. With the capacity to produce over 75 million units per year, our mission continues to be making top-quality apparel accessible to everyone at an impressive value and an irresistible price. That's the FAM Brands difference. About the Role We are seeking an experienced and proactive Building & Office Manager to oversee the daily operations of our corporate headquarters as well as a portfolio of personal properties. You will serve as the central point of contact for all facilities and administrative needs, ensuring every space is safe, functional, well-maintained and running efficiently. Responsibilities Facilities & Building Management Coordinate and oversee regular maintenance and repairs across corporate office and personal properties. Act as the primary point of contact for tenant complaints, service requests, and space-planning needs. Negotiate and manage relationships with third-party vendors and service providers. Coordinate routine repairs, janitorial services, and preventative maintenance for building systems (HVAC, plumbing, and electrical). Manage and direct cleaning, security, and maintenance staff and activities. Supervise security personnel, manage access control systems (keycards, security footage), and enforce building entry and exit policies. Conduct regular property inspections and prepare condition reports. Ensure all properties are in compliance with applicable regulations, building codes, and safety standards. Prepare, monitor and reconcile facilities budgets. Prepare and carry out emergency protocols and procedures. Personal Property Management Serve as the primary liaison for matters related to personally owned properties, Coordinate and oversee repairs, renovations and ongoing upkeep of residential properties. Manage vendor scheduling, service contracts, and follow-through on all property-related projects. Handle confidential property matters with a high degree of discretion and professionalism. Office & Administrative Support Oversee day-to-day corporate office operations including supplies, facilities requests, and workspace organization Support leadership with administrative tasks as needed. Requirements Bachelor’s degree in Business Administration, Facilities Management, Real Estate or related field preferred. 5–8+ years of experience in building management, facilities coordination or a related role. Experience managing both commercial and residential properties a strong plus. Knowledge of relevant regulations, building codes and safety compliance. Excellent organizational, project management and negotiation skills. Strong communication and interpersonal skills. Discretion and professionalism when handling confidential matters. Familiarity with property management software and Microsoft Office Suite. Basic knowledge of HVAC, plumbing, electrical and mechanical systems. COMPENSATION At FAM Brands, we are committed to fair and transparent compensation. Salary ranges for positions are based on job level, location, and market data. We offer competitive benefits and are dedicated to equal pay for equal work. Specific salary offers depend on each candidate’s qualifications and experience. FAM Brands also offers all employees participation in our annual bonus program (Non-Sales) or commission program (Sales). Compensation Range $80,000—$90,000 USD Commitment to Equal Employment Opportunities & Diversity FAM Brands is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. FAM Brands makes hiring decisions based solely on qualifications, merit, and business needs at the time. California Consumer Privacy Act (CCPA) Notice for Job Applicants FAM LLC values your privacy. This notice outlines our practices regarding the personal information of job applicants in compliance with the CCPA. What We Collect: We collect information you provide in your job application, including contact details, educational and employment history. Purpose: We use this information to evaluate your application and manage the hiring process. Disclosure: Your personal information may be shared with service providers assisting with recruitment and as required by law. Your Rights: Under the CCPA, you have the right to access and request deletion of your personal information and to not face discrimination for exercising these rights. For questions or to exercise your rights, contact recruiting@fambrands.com. By applying, you acknowledge you understand our privacy practices.", "summaryDescription" : "Building Manager at FAM Brands", "postedDate" : "2026-06-15T23:17:15.302", "createdAt" : "2026-06-15T23:17:15.302", "lastUpdated" : "2026-06-16T06:32:51.860", "ingestTimestamp" : "2026-06-15T23:17:15.302", "mongoId" : "6a305713f292fd229cf338b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 544.1425, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Apparel & Fashion", "llmIndustryConfidence" : 0.95 }, { "id" : "69ec67ea4c40e2acd1caf0b1", "title" : "Pizza Maker / Line Cook / Expeditor", "company" : "Andolini's", "industry" : "Food & Beverage", "salary" : { "min" : 31000.0, "max" : 42000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level Food & Beverage roles in Tulsa, OK, adjusted for industry and company size." }, "location" : "Tulsa, OK", "locations" : [ "Tulsa", "OK" ], "timestamp" : "2026-06-15T06:41:40.262", "fingerprint" : "f14fd5550e4af12cbbc89b3a202e50ba2fd3dd613b5bea8e80ffd69b237610ca", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://andolini-s-llc.breezy.hr/p/1d5459920115-pizza-maker-line-cook-expeditor-andolini-s-cherry-street", "externalId" : "1d5459920115", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tulsa", "state" : "Oklahoma", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1563122,-95.9927516" } ], "locationText" : "Tulsa, Oklahoma, United States", "coreResponsibilities" : "Make pizza, Cook on line, Expedite orders", "workSiteFlexibility" : "Onsite", "rawDescription" : "Pizza is 10/10 but MAKING pizza.... 11/10 - would recommend Andolini", "summaryDescription" : "Pizza Maker / Line Cook / Expeditor at Andolini's. Make pizza. Cook on line", "createdAt" : "2026-06-13T23:48:21.023", "lastUpdated" : "2026-06-15T06:41:40.262", "ingestTimestamp" : "2026-06-13T23:48:21.023", "mongoId" : "69ec67ea4c40e2acd1caf0b1", "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" : 543.8795, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2cd6a474d8ee00a0a3ecd7", "title" : "Epic Decision Tree Analyst", "company" : "Prominence Advisors", "industry" : "Hospital & Health Care", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for mid-seniority, full-time employment in the healthcare industry." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T01:42:30.598", "fingerprint" : "7f15014739861f39cf54117154b4df97f9586610e55b3ab9d9c247fb6452ae1c", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/49165D039D/apply", "externalId" : "49165D039D", "industryFunction" : { }, "locationPoint" : "39.8283,-98.5795", "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Prominence Advisors is actively seeking an **Epic Decision Tree Analyst** to join their team. You'll have the opportunity to help healthcare organizations solve their toughest challenges through your ability to drive strategic process improvement, manage complex projects, and solve difficult problems. You'll help strengthen our team of the best and brightest, with reputations centered on getting things done. We've won multiple awards for workplace culture and innovation, including our most recent designation as a top 10 Best Small Firm to work for by Consulting magazine. At Prominence, you'll become part of a disruptive force in the Healthcare IT space, changing your clients' expectations for the better. Your clients will value you as a true advisor, filling a strategic need. You'll use honesty and candor to consistently provide straight-forward truths and conversations with clients. ### Who We Are Prominence is a healthcare technology strategy and implementation firm, focused on helping the nation’s leading healthcare organizations to do more with their data. Founded by former Epic managers, we understand the technology landscape in healthcare and provide IT staffing, advisory services, and analytics solutions to create robust data ecosystems that support clinical workflows, automate operational processes, and expedite research. Whether it’s guiding a technology implementation, establishing governance principles, or developing leading edge analytics, we help our customers make sense out of the mountain of data at their fingertips in order to deliver higher quality care at a lower cost. Ranked as a best place to work over 27 times (and counting!), Prominence’s culture provides consultants with a supportive environment that allows you to innovate and grow your career in healthcare IT. Additional information is available on our website. **Requirements** You will need to possess the following qualifications for this role * Certifications * Epic Decision Tree certification * Experience * 3+ years of experience as an Epic Advisor * Soft-Skills * Strong problem-solving and analytical skills * Excellent communication and collaboration skills * Ability to work independently and manage multiple projects simultaneously **Benefits** Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We’ve won Modern Healthcare’s Best Places to Work Award and have been voted to Chicago’s 101 Best and Brightest companies list three years running. Our most recent designation is being named in the top 10 by Consulting magazine as one of the Best Small Firm to Work For. Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position: * Competitive Salaried and Hybrid Compensation Plans * Health Care Plan (Medical, HSAs, Dental & Vision) * Retirement Plan (401k) * Life Insurance (Basic, Voluntary & AD&D) * Dependent & Health Savings Accounts * Short Term & Long Term Disability * Paid Time Off (Vacation/Sick & Public Holidays) * Training & Development Fund * Work From Home * Charitable Giving to Causes You Believe In ### ### Employment Eligibility Must be legally authorized to work in the United States without sponsorship. ### ### Commitment to Equal Opportunity The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities. If you are smart and good at what you do, come as you are. All qualified candidates are encouraged to apply. ### ### Partnership Eligibility Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners. Interested in learning more? Apply below to connect with our Talent team about immediate openings and future consulting projects.", "summaryDescription" : "Epic Decision Tree Analyst at Prominence Advisors", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T18:48:21.245", "lastUpdated" : "2026-06-16T01:42:30.598", "ingestTimestamp" : "2026-06-14T18:48:21.245", "mongoId" : "6a2cd6a474d8ee00a0a3ecd7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/49165D039D", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 543.8218, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a84a674d8ee00a067979a", "title" : "Lead Decision Scientist (International)", "company" : "Life360", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Decision Scientist in London, UK, adjusted for the technology industry and company size." }, "location" : "London, UK", "locations" : [ "London", "UK", "Remote", "Canada", "Remote", "USA" ], "timestamp" : "2026-06-13T18:53:50.798", "fingerprint" : "f691f5641eaf8e5f0568031532226bc450a60a7774729471aa986a37327032b6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/life360/jobs/8586885002", "externalId" : "8586885002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, dbt", "professionalSkills" : [ "Decision science", "Statistical inference", "Causal inference", "Experimentation platforms", "Metrics strategy" ], "hardSkillsList" : [ "Statistical analysis", "Causal inference", "A/B testing", "Metrics development" ], "softSkillsList" : [ "Problem-solving", "Ownership", "Curiosity", "Initiative" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Metrics development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Ownership" }, { "name" : "Curiosity" }, { "name" : "Initiative" } ], "majorSkills" : "Decision Science, Statistical Inference, Causal Inference", "majorSkillsList" : [ "Decision Science", "Statistical Inference", "Causal Inference" ], "coreResponsibilities" : "Be strategic thought partner for cross-functional teams, Understand roadmaps and users, Tell stories that move teams to act, Present to leadership and working teams, Establish causality with A/B testing, Establish causality with analytics, Establish causality with causal inference, Implement event instrumentation, Translate insights into action, Develop metrics strategies, Implement metrics strategies, Build explanations on top of measurement, Ground analysis in user motivation, Use AI to multiply impact, Use coding agents daily, Use automated analysis daily, Shape AI-native analytics stack", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Marketing teams; Finance teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Consumer tech; Subscription models; Freemium models; Multi-market analytics; Growth analytics; Retention analytics; Lifecycle analytics; LTV modeling; Incrementality testing; Marketing mix modeling", "domainList" : [ "consumer-tech", "subscription-models", "freemium-models", "multi-market-analytics", "growth-analytics", "retention-analytics", "lifecycle-analytics", "ltv-modeling", "incrementality-testing", "marketing-mix-modeling" ], "domainSpecificKnowledge" : [ "Consumer tech", "Subscription models", "Freemium models", "Multi-market analytics", "Growth analytics", "Retention analytics", "Lifecycle analytics", "LTV modeling", "Incrementality testing", "Marketing mix modeling" ], "toolProficiency" : [ "Statsig", "Optimizely" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Learning & Development programmes", "innovationCreativity" : "AI-native organization", "problemSolvingSkills" : "Structure ambiguous problems", "outcomesObjectives" : "Deliver insights that change roadmaps; Deliver insights that change resource allocation", "qualificationsBasic" : "6+ years analytics/data science/decision science, Advanced degree in quantitative field or equivalent experience, Demonstrated experience with causal inference methods, Track record of influencing product/business strategy, Experience with experimentation platforms, Proficiency in SQL, Proficiency in Python/R", "qualificationsPreferred" : "Experience with subscription/freemium business models, Familiarity with international/multi-market analytics, Experience building dbt models, Background in growth/retention/lifecycle analytics, Experience with LTV modeling, Experience with incrementality testing, Experience with marketing mix modeling", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About The Team No other team at Life360 touches every product decision, every experiment, and every revenue lever. Data & Analytics is a 60+ person organization spanning data engineering, analytics engineering, data science, and ML. We're building it to be AI-native, where automation handles the volume so our people can focus on understanding why users behave the way they do, establishing what actually causes what, and turning those findings into action. About the Job We're hiring a Lead Decision Scientist to be strategic partners embedded with product, engineering, marketing, and finance teams. People who shape what gets built, how we grow, and where we invest. You'll own the analytical narrative for your area and deliver insights that directly change roadmaps and resource allocation. The output is decisions, not dashboards. You'll also help make the AI-native organization a reality, shaping the tools and workflows that let automation take on more so the team can go deeper. This is not a production ML role (we have a dedicated Data Science / MLE team for that). Your primary tools are statistical inference, clear thinking, and the judgment to know which question matters most. You'll report into the Data & Analytics leadership team and work alongside data engineers, data scientists, and ML engineers. This role is based in Central London with a hybrid model of remote and in person/office meetings. The UK-based salary range for this position is £89,500 - 105,000 with an additional equity grant. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. What You’ll Do Be the strategic thought partner for cross-functional teams (PMs, engineers, marketing, finance).You understand the roadmaps and users, and you notice the gap between what the data shows and what the team assumes. Tell stories that move teams to act. You'll present to leadership and working teams with clear narratives and a point of view. A great insight that nobody acts on is a failed insight. Establish causality with the right tools for the situation, including A/B testing, analytics, and causal inference. You work with engineering to implement event instrumentation and with Product to translate insights into action. Work backward from an understanding of how users experience our product to develop and implement metrics strategies that measure what matters to our users and our business. This enables a deep understanding of our users and their motivation, in a complex ecosystem with multi-user engagement and many ways to interact with our product. Build explanations on top of measurement, always grounding analysis in the reality that users are people with motivations and context the data alone won't tell you. Use AI to multiply your impact. You'll use coding agents and automated analysis daily, and help shape what our AI-native analytics stack looks like, contributing to how we move from reactive to proactive to autonomous. What We’re Looking For Core Expectations Problem-solving mindset: You structure ambiguous problems precisely before reaching for a tool, AI or otherwise. Ownership mentality: You take responsibility for your work from framing the question through delivering the recommendation and tracking its impact. AI-native working style: You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams. Curiosity and initiative: You don't wait for the roadmap to tell you what to analyze. You dig into data because you're genuinely curious about how things work. Desired Experience & Qualifications 6+ years in an analytics, data science, or decision science role at a consumer tech company Advanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experience Demonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching) Track record of influencing product or business strategy through data, with specific examples of cross-functional impact Experience with experimentation platforms (Statsig, Optimizely, or similar) Proficiency in SQL and Python/R for statistical analysis Preferred Qualifications Experience with subscription or freemium business models Familiarity with international / multi-market analytics Experience building dbt models or contributing to analytics engineering workflows Background in growth, retention, or lifecycle analytics Experience with LTV modeling, incrementality testing, or marketing mix modeling Our Benefits Industry leading compensation Hybrid working in central London with flexibility to do remote working weeks Generous holiday options with flexible PTO Bi-annual company retreats Learning & Development programmes Private comprehensive health & dental insurance Employee assistance programme for mental well being Free Life360 Platinum Membership for your preferred circle Free Tile Products Life360 Values Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote ____________________________________________________________________________", "summaryDescription" : "Lead Decision Scientist (International) at Life360. Skills: Decision Science, Statistical Inference, Causal Inference. Be strategic thought partner for cross-functional teams. 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Product teams; Engineering teams; Marketing teams; Finance teams", "domainKnowledge" : "Consumer tech; Subscription models; Freemium models; Multi-market analytics; Growth analytics; Retention analytics; Lifecycle analytics; LTV modeling; Incrementality testing; Marketing mix modeling", "domainList" : [ "consumer-tech", "subscription-models", "freemium-models", "multi-market-analytics", "growth-analytics", "retention-analytics", "lifecycle-analytics", "ltv-modeling", "incrementality-testing", "marketing-mix-modeling" ], "domainSpecificKnowledge" : [ "Consumer tech", "Subscription models", "Freemium models", "Multi-market analytics", "Growth analytics", "Retention analytics", "Lifecycle analytics", "LTV modeling", "Incrementality testing", "Marketing mix modeling" ], "toolProficiency" : [ "Statsig", "Optimizely" ], "communicationSkills" : "Present to leadership; Clear narratives; Point of view", "continuousLearning" : "Learning & Development programs", "innovationCreativity" : "AI Native", "problemSolvingSkills" : "Structure ambiguous problems; Analytical narrative", "outcomesObjectives" : "Deliver insights that change roadmaps; Deliver insights that change resource allocation; Decisions, not dashboards", "qualificationsBasic" : "6+ years analytics, data science, or decision science role, Advanced degree in quantitative field or equivalent practical experience, Demonstrated experience with causal inference methods, Experience with experimentation platforms, Proficiency in SQL, Proficiency in Python/R for statistical analysis", "qualificationsPreferred" : "PhD preferred, Experience with subscription or freemium business models, Familiarity with international / multi-market analytics, Experience building dbt models, Contributing to analytics engineering workflows, Background in growth, retention, or lifecycle analytics, Experience with LTV modeling, Experience with incrementality testing, Experience with marketing mix modeling", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About The Team No other team at Life360 touches every product decision, every experiment, and every revenue lever. Data & Analytics is a 60+ person organization spanning data engineering, analytics engineering, data science, and ML. We're building it to be AI-native, where automation handles the volume so our people can focus on understanding why users behave the way they do, establishing what actually causes what, and turning those findings into action. About the Job We're hiring a Lead Decision Scientist to be strategic partners embedded with product, engineering, marketing, and finance teams. People who shape what gets built, how we grow, and where we invest. You'll own the analytical narrative for your area and deliver insights that directly change roadmaps and resource allocation. The output is decisions, not dashboards. You'll also help make the AI-native organization a reality, shaping the tools and workflows that let automation take on more so the team can go deeper. This is not a production ML role (we have a dedicated Data Science / MLE team for that). Your primary tools are statistical inference, clear thinking, and the judgment to know which question matters most. You'll report into the Data & Analytics leadership team and work alongside data engineers, data scientists, and ML engineers. For candidates based in the US, the salary range for this position is $133,000 to $195,000 USD. For candidates based out of Canada, the salary range for this position is 147,500 to 173,000 CAD. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You’ll Do Be the strategic thought partner for cross-functional teams (PMs, engineers, marketing, finance).You understand the roadmaps and users, and you notice the gap between what the data shows and what the team assumes. Tell stories that move teams to act. You'll present to leadership and working teams with clear narratives and a point of view. A great insight that nobody acts on is a failed insight. Establish causality with the right tools for the situation, including A/B testing, analytics, and causal inference. You work with engineering to implement event instrumentation and with Product to translate insights into action. Work backward from an understanding of how users experience our product to develop and implement metrics strategies that measure what matters to our users and our business. This enables a deep understanding of our users and their motivation, in a complex ecosystem with multi-user engagement and many ways to interact with our product. Build explanations on top of measurement, always grounding analysis in the reality that users are people with motivations and context the data alone won't tell you. Use AI to multiply your impact. You'll use coding agents and automated analysis daily, and help shape what our AI-native analytics stack looks like, contributing to how we move from reactive to proactive to autonomous. What We’re Looking For Core Expectations Problem-solving mindset: You structure ambiguous problems precisely before reaching for a tool, AI or otherwise. Ownership mentality: You take responsibility for your work from framing the question through delivering the recommendation and tracking its impact. AI-native working style: You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams. Curiosity and initiative: You don't wait for the roadmap to tell you what to analyze. You dig into data because you're genuinely curious about how things work. Desired Experience & Qualifications 6+ years in an analytics, data science, or decision science role at a consumer tech company Advanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experience Demonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching) Track record of influencing product or business strategy through data, with specific examples of cross-functional impact Experience with experimentation platforms (Statsig, Optimizely, or similar) Proficiency in SQL and Python/R for statistical analysis Preferred Qualifications Experience with subscription or freemium business models Familiarity with international / multi-market analytics Experience building dbt models or contributing to analytics engineering workflows Background in growth, retention, or lifecycle analytics Experience with LTV modeling, incrementality testing, or marketing mix modeling Our Benefits Competitive pay and benefits. Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Employee Assistance Program (EAP) for mental wellness. Flexible PTO and 12 company wide days off throughout the year. Winter and Summer Weeklong Synchronized Company Shutdowns Learning & Development programs. Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership for your preferred circle. Free Tile Products Life360 Values Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote ____________________________________________________________________________", "summaryDescription" : "Lead Decision Scientist (International) at Life360. Skills: Decision Science, Causal Inference, Statistical Inference, Experimentation. Be strategic thought partner. Understand roadmaps and users", "postedDate" : "2026-06-11T18:58:00.198", "createdAt" : "2026-06-11T18:58:00.198", "lastUpdated" : "2026-06-14T22:05:32.334", "ingestTimestamp" : "2026-06-11T18:58:00.198", "mongoId" : "6a2a84a674d8ee00a0679797", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Causal inference", "Experimentation", "Data analysis", "Metrics strategy", "Problem-solving", "Ownership", "Curiosity", "Initiative", "Decision Science", "Causal Inference", "Statistical Inference", "Decision science", "Statistical inference", "Experimentation platforms", "Analytics engineering", "Consumer tech", "Subscription models", "Freemium models", "Multi-market analytics", "Growth analytics", "Retention analytics", "Lifecycle analytics", "LTV modeling", "Incrementality testing", "Marketing mix modeling", "Statsig", "Optimizely" ], "skillCount" : 28, "jobCategory" : "other", "jobSubcategory" : "analytics", "dataQualityScore" : 0.8888889, "_score" : 542.9618, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c66f374d8ee00a09000a0", "title" : "Tool And Die Maker - Setup Technician", "company" : "STOW Group", "industry" : "Machinery", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Mid-level Tool and Die Maker - Setup Technician in Adairsville, United States, with adjustments for industry and company size." }, "location" : "Adairsville, GA, United States", "locations" : [ "Adairsville", "GA", "United States" ], "timestamp" : "2026-06-15T08:39:16.770", "fingerprint" : "85924a2a261ee4539405b303b12da21102a302e08049af8c5fc4bf9f43115162", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/StowGroup/744000131702150-tool-and-die-maker-setup-technician-", "externalId" : "744000131702150", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Adairsville", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.3683267,-84.9349057" } ], "locationText" : "Adairsville, Georgia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Roll forming", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Blueprint reading", "Machine operation", "Die setup", "Quality inspection", "Maintenance and repair" ], "hardSkills" : [ { "name" : "Blueprint reading", "level" : "intermediate" }, { "name" : "Machine operation", "level" : "intermediate" }, { "name" : "Die setup", "level" : "intermediate" }, { "name" : "Quality inspection", "level" : "intermediate" }, { "name" : "Maintenance and repair", "level" : "intermediate" } ], "majorSkills" : "Die setting, Press operation", "majorSkillsList" : [ "Die setting", "Press operation" ], "coreResponsibilities" : "Read and interpret blueprints, Design and build tools and jigs, Inspect finished tools and dies, Repair and maintain existing tools, Collaborate with production teams, Troubleshoot tool/die issues, Ensure tools meet safety standards, Maintain records of maintenance, Set up and install dies, Set coils on mandrel, Feed up and in to die, Adjust and align dies, Conduct trial runs, Inspect tooling before use, Inspect tooling after use, Recommend minor repairs, Work closely with machine operators, Work closely with maintenance staff, Work closely with quality control, Troubleshoot die and press problems, Operate overhead crane, Run the production line", "teamCollaboration" : "Collaborate with production teams; Work closely with machine operators; Work closely with maintenance staff; Work closely with quality control", "domainKnowledge" : "Manufacturing processes; Die casting; Roll forming; Stamping presses", "domainList" : [ "manufacturing-processes", "die-casting", "roll-forming", "stamping-presses" ], "domainSpecificKnowledge" : [ "Manufacturing processes", "Die casting", "Roll forming", "Stamping presses" ], "toolProficiency" : [ "Lathes", "Grinders", "Milling machines", "Overhead crane" ], "continuousLearning" : "Partial Tuition Reimbursement", "problemSolvingSkills" : "Troubleshoot die and press problems", "specialRequirements" : "Ability to lift heavy objects", "qualificationsBasic" : "High school diploma or equivalent, Completion of Tool and Die Maker apprenticeship, Proficiency in reading blueprints, Experience using lathes, grinders, milling machines, Ability to lift and move heavy objects, Proven experience as Die Setter, Familiarity with stamping presses, Ability to read setup sheets, Mechanical aptitude, Experience overhead crane, Understanding geometric tolerances", "qualificationsPreferred" : "Equivalent experience as maintenance technician, Equivalent experience as welding technician, Equivalent experience as tool technician, Equivalent experience as die maintenance technician, Experience with roll forming operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "#WeRackTheWorld The warehouse of the future contains high-density, high-precision racking with automated pallet shuttles (like our [atlas 1D](https://www.stow-group.com/en/products/atlasr-1d-pallet-shuttle)) instead of wide aisles that forklifts need to pass through. Our customers benefit from much better utilization of their warehouses (up to 70% more pallet storage than traditional rack!), maximized vertical space, improved accuracy in pallet selection, and minimized labor costs and product damage. Over the span of more than 40 years, we’ve grown into a company with 10 manufacturing facilities, 19 commercial offices, and the know-how of around 2000 employees serving customers in 40 countries. We Rack the World. Early 2021, we opened our first U.S. Office in Romeoville, IL and we have already grown to over 70 employees. We are also soon opening our first stow manufacturing plant in the greater Atlanta area to serve our current and future customer base. It's exciting times to be at stow! Location: Adairsville, GA Tool and die makers are skilled crafters working in a manufacturing industry. Our Tool and die makers work in production and also run a line. You’re skilled craftspeople who typically learn their trade through a combination of academic coursework and with substantial period of on-the-job training that is functionally an apprenticeship. You make jigs, fixtures, dies, gauges , machine tools other tools used in manufacturing processes * Read and interpret blueprints, sketches, and specifications to determine dimensions and tolerances of tools and dies * Design and build tools and jigs using various machines and tools * Inspect finished tools and dies for accuracy and quality * Repair and maintain existing tools and dies * Collaborate with production teams to troubleshoot and resolve tool/die and roll forming issues * Ensure that all tools and dies meet safety standards * Maintain accurate records of tool and die maintenance and repairs * Set up and install dies in press machines according to specifications * Set coils on mandrel and feed up and in to die * Adjust and align dies and roll forming cassettes for optimal operation and product quality * Conduct trial runs after die setup to ensure proper functioning and output * Inspect tooling and equipment before and after use to detect defects or wear * Recommend minor repairs and maintenance on dies and related machinery * Work closely with machine operators, maintenance staff, and quality control to support production goals * Troubleshoot die and press problems to minimize downtime * Operate overhead crane * You're also responsible for running the production line ## Qualifications Qualifications * High school diploma or equivalent * Completion of a Tool and Die Maker apprenticeship program or equivalent experience as a maintenance technician, welding technician, tool technician, die maintenance technician * Proficiency in reading blueprints and schematics * Experience using various machines and tools, including lathes, grinders, and milling machines * Ability to lift and move heavy objects * Proven experience as a Die Setter or similar role in a manufacturing environment * Familiarity with stamping presses or other die-based/ production systems * Ability to read, understand and complete and setup sheets * Strong mechanical aptitude and attention to detail * Experience overhead crane * Understanding of print reading and geometric tolerances and how they relate to the finished part * Ability to prepare and run complex bend setups and roll forming operations ## Additional Information What do we offer you? 1. PTO, sick leave, 11 US paid holidays 2. Medical (currently BlueCross BlueShield), Dental and Vision Insurance, including Family coverage, all currently 90% Company paid 3. Company paid Short- and Long-Term Disability Insurance 4. Company Paid Life Insurance 5. Company Paid Accidental Death & Dismemberment 6. 401K with employer match, currently 4% 7. Partial Tuition Reimbursement after 12 months 8. Gross Salary 9. Tobacco Free Campus 10. Working hours : Full time - Monday to Friday AM or PM hours available EEO Stow US provides equal employment opportunities to all employees and applicants for employment. stow prohibits discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.", "summaryDescription" : "Tool And Die Maker - Setup Technician at STOW Group. Skills: Die setting, Press operation. Read and interpret blueprints. Design and build tools and jigs", "postedDate" : "2026-06-11T15:05:06.000", "createdAt" : "2026-06-14T07:35:22.781", "lastUpdated" : "2026-06-15T08:39:16.770", "ingestTimestamp" : "2026-06-14T07:35:22.781", "mongoId" : "6a2c66f374d8ee00a09000a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Blueprint reading", "Machine operation", "Die setup", "Quality inspection", "Maintenance and repair", "Die setting", "Press operation", "Process management", "Cross-functional coordination", "Resource planning", "Continuous improvement", "Manufacturing processes", "Die casting", "Roll forming", "Stamping presses", "Lathes", "Grinders", "Milling machines", "Overhead crane" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 542.3258, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca8ee74d8ee00a09c4e78", "title" : "Tool And Die Maker - Setup Technician", "company" : "STOW Group", "industry" : "Machinery", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Mid-level Tool and Die Maker - Setup Technician in Adairsville, United States, with adjustments for industry and company size." }, "location" : "Adairsville, GA, United States", "locations" : [ "Adairsville", "GA", "United States" ], "timestamp" : "2026-06-15T08:56:21.239", "fingerprint" : "62daaa504ed2098065c761e936d7a00f9598fda4a8870cd182752d913e574cb2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/StowGroup/744000131702150-tool-and-die-maker-setup-technician-", "externalId" : "744000131702150", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Adairsville", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.3683267,-84.9349057" } ], "locationText" : "Adairsville, Georgia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Roll forming", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Blueprint reading", "Machine operation", "Die setup", "Quality inspection", "Maintenance and repair", "Record keeping", "Crane operation" ], "hardSkills" : [ { "name" : "Blueprint reading", "level" : "intermediate" }, { "name" : "Machine operation", "level" : "intermediate" }, { "name" : "Die setup", "level" : "intermediate" }, { "name" : "Quality inspection", "level" : "intermediate" }, { "name" : "Maintenance and repair", "level" : "intermediate" }, { "name" : "Record keeping", "level" : "intermediate" }, { "name" : "Crane operation", "level" : "intermediate" } ], "majorSkills" : "Die setting, Press operation", "majorSkillsList" : [ "Die setting", "Press operation" ], "coreResponsibilities" : "Read and interpret blueprints, Design and build tools and jigs, Inspect finished tools and dies, Repair and maintain existing tools, Collaborate with production teams, Troubleshoot tool/die issues, Ensure tools meet safety standards, Maintain records of maintenance, Set up and install dies, Set coils on mandrel, Feed coil into die, Adjust and align dies, Conduct trial runs, Inspect tooling before use, Inspect tooling after use, Recommend minor repairs, Work closely with machine operators, Work closely with maintenance staff, Work closely with quality control, Troubleshoot die problems, Troubleshoot press problems, Operate overhead crane, Run production line", "teamCollaboration" : "Collaborate with production teams; Work closely with machine operators; Work closely with maintenance staff; Work closely with quality control", "domainKnowledge" : "Manufacturing processes; Die casting; Roll forming; Stamping presses", "domainList" : [ "manufacturing-processes", "die-casting", "roll-forming", "stamping-presses" ], "domainSpecificKnowledge" : [ "Manufacturing processes", "Die casting", "Roll forming", "Stamping presses" ], "toolProficiency" : [ "Lathes", "Grinders", "Milling machines", "Overhead crane" ], "continuousLearning" : "Partial Tuition Reimbursement", "problemSolvingSkills" : "Troubleshoot die problems; Troubleshoot press problems", "specialRequirements" : "Ability to lift heavy objects", "qualificationsBasic" : "High school diploma or equivalent, Completion of Tool and Die Maker apprenticeship, Proficiency in reading blueprints, Experience using lathes, grinders, milling machines, Ability to lift and move heavy objects, Proven experience as Die Setter, Familiarity with stamping presses, Ability to read setup sheets, Mechanical aptitude, Experience overhead crane, Understanding geometric tolerances", "qualificationsPreferred" : "Equivalent experience as maintenance technician, Equivalent experience as welding technician, Equivalent experience as tool technician, Equivalent experience as die maintenance technician, Experience with roll forming operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "#WeRackTheWorld The warehouse of the future contains high-density, high-precision racking with automated pallet shuttles (like our [atlas 1D](https://www.stow-group.com/en/products/atlasr-1d-pallet-shuttle)) instead of wide aisles that forklifts need to pass through. Our customers benefit from much better utilization of their warehouses (up to 70% more pallet storage than traditional rack!), maximized vertical space, improved accuracy in pallet selection, and minimized labor costs and product damage. Over the span of more than 40 years, we’ve grown into a company with 10 manufacturing facilities, 19 commercial offices, and the know-how of around 2000 employees serving customers in 40 countries. We Rack the World. Early 2021, we opened our first U.S. Office in Romeoville, IL and we have already grown to over 70 employees. We are also soon opening our first stow manufacturing plant in the greater Atlanta area to serve our current and future customer base. It's exciting times to be at stow! Location: Adairsville, GA Tool and die makers are skilled crafters working in a manufacturing industry. Our Tool and die makers work in production and also run a line. You’re skilled craftspeople who typically learn their trade through a combination of academic coursework and with substantial period of on-the-job training that is functionally an apprenticeship. You make jigs, fixtures, dies, gauges , machine tools other tools used in manufacturing processes * Read and interpret blueprints, sketches, and specifications to determine dimensions and tolerances of tools and dies * Design and build tools and jigs using various machines and tools * Inspect finished tools and dies for accuracy and quality * Repair and maintain existing tools and dies * Collaborate with production teams to troubleshoot and resolve tool/die and roll forming issues * Ensure that all tools and dies meet safety standards * Maintain accurate records of tool and die maintenance and repairs * Set up and install dies in press machines according to specifications * Set coils on mandrel and feed up and in to die * Adjust and align dies and roll forming cassettes for optimal operation and product quality * Conduct trial runs after die setup to ensure proper functioning and output * Inspect tooling and equipment before and after use to detect defects or wear * Recommend minor repairs and maintenance on dies and related machinery * Work closely with machine operators, maintenance staff, and quality control to support production goals * Troubleshoot die and press problems to minimize downtime * Operate overhead crane * You're also responsible for running the production line ## Qualifications Qualifications * High school diploma or equivalent * Completion of a Tool and Die Maker apprenticeship program or equivalent experience as a maintenance technician, welding technician, tool technician, die maintenance technician * Proficiency in reading blueprints and schematics * Experience using various machines and tools, including lathes, grinders, and milling machines * Ability to lift and move heavy objects * Proven experience as a Die Setter or similar role in a manufacturing environment * Familiarity with stamping presses or other die-based/ production systems * Ability to read, understand and complete and setup sheets * Strong mechanical aptitude and attention to detail * Experience overhead crane * Understanding of print reading and geometric tolerances and how they relate to the finished part * Ability to prepare and run complex bend setups and roll forming operations ## Additional Information What do we offer you? 1. PTO, sick leave, 11 US paid holidays 2. Medical (currently BlueCross BlueShield), Dental and Vision Insurance, including Family coverage, all currently 90% Company paid 3. Company paid Short- and Long-Term Disability Insurance 4. Company Paid Life Insurance 5. Company Paid Accidental Death & Dismemberment 6. 401K with employer match, currently 4% 7. Partial Tuition Reimbursement after 12 months 8. Gross Salary 9. Tobacco Free Campus 10. Working hours : Full time - Monday to Friday AM or PM hours available EEO Stow US provides equal employment opportunities to all employees and applicants for employment. stow prohibits discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.", "summaryDescription" : "Tool And Die Maker - Setup Technician at STOW Group. Skills: Die setting, Press operation. Read and interpret blueprints. Design and build tools and jigs", "postedDate" : "2026-06-11T15:05:06.000", "createdAt" : "2026-06-14T04:54:45.169", "lastUpdated" : "2026-06-15T08:56:21.239", "ingestTimestamp" : "2026-06-14T04:54:45.169", "mongoId" : "6a2ca8ee74d8ee00a09c4e78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Blueprint reading", "Machine operation", "Die setup", "Quality inspection", "Maintenance and repair", "Record keeping", "Crane operation", "Die setting", "Press operation", "Process management", "Cross-functional coordination", "Resource planning", "Continuous improvement", "Manufacturing processes", "Die casting", "Roll forming", "Stamping presses", "Lathes", "Grinders", "Milling machines", "Overhead crane" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 542.3258, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79ee74d8ee00a0943bc6", "title" : "Building Engineer", "company" : "Lincoln Property Company", "location" : "Las Vegas, Nevada, United States", "locations" : [ "Las Vegas", "Nevada", "United States" ], "certifications" : [ "CFC Certification" ], "timestamp" : "2026-06-15T08:53:26.147", "fingerprint" : "72949f554cb7e1e27fb1fabd5cb3adaa66c3dc0b2720cac3d20fef20ef880b51", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lpc/jobs/5111881007", "externalId" : "5111881007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Las Vegas", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Las Vegas, Nevada, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 2, "experienceMaxYears" : 3, "experienceLevel" : "Junior", "professionalSkills" : [ "OSHA, NEC, NFC, NFPA, blueprints, code requirements" ], "hardSkillsList" : [ "HVAC", "plumbing", "electrical systems", "routine maintenance", "tenant requests", "building systems operation", "work order systems", "facility operation systems", "fire/life safety equipment", "code requirements", "tool use and care", "manuals and procedures", "BAS operation" ], "softSkillsList" : [ "customer service, communication" ], "hardSkills" : [ { "name" : "HVAC", "level" : "intermediate" }, { "name" : "plumbing", "level" : "intermediate" }, { "name" : "electrical systems", "level" : "intermediate" }, { "name" : "routine maintenance", "level" : "intermediate" }, { "name" : "tenant requests", "level" : "intermediate" }, { "name" : "building systems operation", "level" : "intermediate" }, { "name" : "work order systems", "level" : "intermediate" }, { "name" : "facility operation systems", "level" : "intermediate" }, { "name" : "fire/life safety equipment", "level" : "intermediate" }, { "name" : "code requirements", "level" : "intermediate" }, { "name" : "tool use and care", "level" : "intermediate" }, { "name" : "manuals and procedures", "level" : "intermediate" }, { "name" : "BAS operation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "customer service, communication" } ], "majorSkills" : "HVAC, plumbing, electrical systems, routine maintenance, customer service", "majorSkillsList" : [ "HVAC, plumbing, electrical systems, routine maintenance, customer service" ], "coreResponsibilities" : "Perform scheduled maintenance, repairs, and inspections of building systems, address service requests, troubleshoot minor equipment malfunctions, replace components, maintain records, interact with tenants and contractors, assist with preventive maintenance, conduct property inspections, record equipment readings, follow safety protocols, and provide guidance to junior technicians.", "teamCollaboration" : "Work closely with senior engineers and technicians to support smooth building operations and resolve tenant issues. Communicate verbally and in writing with teammates, leadership team, vendors, tenants, and client employees. Provide guidance to junior Technicians when needed.", "projectManagementSkills" : [ "contractor oversight" ], "toolProficiency" : [ "Microsoft Outlook" ], "communicationSkills" : "communicate verbally and in writing; keeping the appropriate customer(s) informed/updated", "documentationSkills" : "Maintain accurate records; write reports", "continuousLearning" : "Work closely with senior engineers to develop technical skills and participate in professional development programs to grow into advanced roles.", "problemSolvingSkills" : "troubleshooting; root cause analysis", "specialRequirements" : "Ability to stand, walk, climb ladders, and lift up to 50 lbs. Perform physically demanding tasks such as stooping, crouching, and kneeling. Ability to work after hours, weekends, holidays, and during emergency situations as necessary.", "outcomesObjectives" : "Ensure systems operate safely. Resolve tenant issues. Ensure assigned building systems are operating according to standards.", "qualificationsBasic" : "HS Diploma or GED required. Two to three years of job related experience or commensurate certification/trade experience. CFC Certification preferred or willingness to obtain. Possess engineering and trade licenses required according to local, state, or national requirements. Basic working knowledge of laptop and phone applications for work order and facility operation systems as well as basic skills with Microsoft Outlook. Familiar with fire/life safety equipment/procedures. Proven track record for delivering excellent internal and external customer service. Ability to successfully interact/communicate with tenants/vendors/contractors as well as teammates and leadership team. Familiarity with blueprints and code requirements. Ability to work after hours, weekends, holidays, and during emergency situations as necessary. Possess competent knowledge of use and care of tools. Ability to read and write English in order to understand manuals and procedures, and to write reports.", "qualificationsPreferred" : "CFC Certification preferred or willingness to obtain. Willingness to develop familiarity with HVAC, electrical, and plumbing systems and gain experience with BAS operation and troubleshooting.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Building Engineer I is responsible for maintaining, operating, and troubleshooting building systems, including HVAC, plumbing, and electrical systems, focusing on performing routine maintenance tasks, responding to tenant requests, and ensuring systems operate safely under the guidance of senior engineers. Essential Duties and Responsibilities: Perform scheduled maintenance, repairs, and inspections of building systems; address service requests, including hot/cold calls, plumbing issues, and lighting repairs. Troubleshoot minor equipment malfunctions and escalate issues as needed. Replace light fixtures, filters, and other components as required. Maintain accurate records of inspections and equipment performance. Interact with tenants, contractors, and property managers and work closely with senior engineers and technicians to support smooth building operations and resolve tenant issues. Assist with preventive maintenance tasks and contractor oversight. Conduct property inspections to identify deficiencies. Record equipment readings and ensure assigned building systems are operating according to standards. Follow company safety protocols and wear appropriate PPE; ensure compliance with OSHA, NEC, NFC, NFPA regulations; report safety hazards; participate in safety inspections. Provide guidance to junior Technicians when needed. Communicate verbally and in writing with teammates, leadership team, vendors, tenants, and client employees in a professional manner, keeping the appropriate customer(s) informed/updated as needed. Work closely with senior engineers to develop technical skills and participate in professional development programs to grow into advanced roles. Perform other duties as assigned. Qualifications: HS Diploma or GED required Two to three years of job related experience or commensurate certification/trade experience CFC Certification preferred or willingness to obtain as requested; possess engineering and trade licenses required according to local, state, or national requirements Basic working knowledge of laptop and phone applications for work order and facility operation systems as well as basic skills with Microsoft Outlook Familiar with fire/life safety equipment/procedures Proven track record for delivering excellent internal and external customer service; ability to successfully interact/communicate with tenants/vendors/contractors as well as teammates and leadership team Familiarity with blueprints and code requirements Ability to work after hours, weekends, holidays, and during emergency situations as necessary to meet the needs of the client Possess competent knowledge of use and care of tools Ability to read and write English in order to understand manuals and procedures, and to write reports. Exhibit a willingness to develop familiarity with HVAC, electrical, and plumbing systems and gain experience with BAS operation and troubleshooting. Physical Requirements: Ability to stand, walk, climb ladders, and lift up to 50 pounds; perform physically demanding tasks such as stooping, crouching, and kneeling. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  This position is 100% in-office. The role requires working in office during standard business hours. Remote work or telecommuting is not an option for this position. #IND123 About Lincoln Property Company Lincoln Property Company (“Lincoln”) is one of the largest private real estate firms in the United States. Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, multifamily, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-use properties, throughout the United States, United Kingdom, and Europe. Lincoln’s combined management and leasing portfolio on behalf of institutional clients includes more than 680 million square feet of commercial space. For more information, visit: www.lpc.com. All job offers are contingent on completion of a background check and proof of eligibility to work in the United States. By submitting your information or resume in response to this opportunity, you acknowledge that your personal information will be handled in accordance with Lincoln Property Company's privacy policy. Lincoln Property Company does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by Lincoln Property Company to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that Lincoln Property Company will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. At this time, we are not working with any agencies.", "summaryDescription" : "Building Engineer at Lincoln Property Company. Skills: HVAC, plumbing, electrical systems, routine maintenance, customer service. Perform scheduled maintenance, repairs, and inspections of building systems, address service requests, troubleshoot minor equipment malfunctions, replace components, maintain records, interact with tenants and contractors, assist with preventive maintenance, conduct property inspections, record equipment readings, follow safety protocols, and provide guidance to junio", "postedDate" : "2026-06-14T18:58:54.884", "createdAt" : "2026-06-14T18:58:54.884", "lastUpdated" : "2026-06-15T08:53:26.147", "ingestTimestamp" : "2026-06-14T18:58:54.884", "mongoId" : "6a2c79ee74d8ee00a0943bc6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "HVAC", "plumbing", "electrical systems", "routine maintenance", "tenant requests", "building systems operation", "work order systems", "facility operation systems", "fire/life safety equipment", "code requirements", "tool use and care", "manuals and procedures", "BAS operation", "customer service, communication", "HVAC, plumbing, electrical systems, routine maintenance, customer service", "OSHA, NEC, NFC, NFPA, blueprints, code requirements", "contractor oversight", "CFC Certification", "Microsoft Outlook" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 540.5435, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a773574d8ee00a065da83", "title" : "Pasta Maker", "company" : "Eataly North America", "industry" : "Food And Beverages", "salary" : { "min" : 18.0, "max" : 19.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, CA, United States", "locations" : [ "Los Angeles", "CA", "United States" ], "timestamp" : "2026-06-14T23:07:31.480", "fingerprint" : "1ca4725c6e61b250c3cffe193fc8395a9637a6f24200292890d92e1a55d21409", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Eataly/744000131240799-pasta-maker", "externalId" : "744000131240799", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "hardSkillsList" : [ "Weighing", "Packaging", "Advising guests" ], "hardSkills" : [ { "name" : "Weighing", "level" : "intermediate" }, { "name" : "Packaging", "level" : "intermediate" }, { "name" : "Advising guests", "level" : "intermediate" } ], "majorSkills" : "Fresh pasta creation, Guest education, Customer service", "majorSkillsList" : [ "Fresh pasta creation", "Guest education", "Customer service" ], "coreResponsibilities" : "Make pasta according to Eataly’s recipes, Weigh and package pasta, Advise guests on pasta choices, Ensure all items are rotated according to First, Maintain a clean and sanitary work area, Perform other duties as required or assigned", "domainKnowledge" : "Italian cuisine", "domainList" : [ "italian-cuisine" ], "domainSpecificKnowledge" : [ "Italian cuisine" ], "toolProficiency" : [ "Commercial mixer", "Pasta machine" ], "communicationSkills" : "Advising guests", "continuousLearning" : "Classes on products and Italian cuisine", "specialRequirements" : "Ability to lift up to 50 pounds, Ability to exert well-paced mobility for up to 8 hours, Ability to stand, walk, bend and squat", "qualificationsBasic" : "Availability to work onsite, Flexible schedule often including weekends, Ability to lift up to 50 pounds, Ability to exert well-paced mobility for up to 8 hours, Ability to stand, walk, bend and squat, Ability to operate equipment such as a commercial mixer and pasta machine", "qualificationsPreferred" : "Culinary degree preferred, 1+ year of experience as a cook or chef preferred, Knowledge of Italian cuisine preferred", "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 Pasta Maker creates fresh batches of pasta daily to be sold in the market and served in restaurants at an Eataly location. A Pasta Maker is also involved with educating guests on Eataly’s various pastas and providing customer service. Reports to the Fresh Pasta Lead. * Makes pasta according to Eataly’s recipes and high-quality standards * Weighs and packages pasta * Advises guests on pasta choices * Ensures all items are rotated according to First In First Out (FIFO) standards * Maintains a clean and sanitary work area that meets Department of Health standards * Performs other duties as required or assigned ## Qualifications * High school diploma or equivalent or culinary degree preferred * 1+ year of experience as a cook or chef preferred * Knowledge of Italian cuisine preferred Job Requirements * Availability to work onsite with a flexible schedule often including weekends * Ability to lift up to 50 pounds * Ability to exert well-paced mobility for up to 8 hours, including standing, walking, bending and squatting * Ability to operate equipment such as a commercial mixer and pasta machine ## 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! Pay rate is at $18 - $19 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" : "Pasta Maker at Eataly North America. Skills: Fresh pasta creation, Guest education, Customer service. Make pasta according to Eataly’s recipes. Weigh and package pasta", "postedDate" : "2026-06-09T23:16:17.000", "createdAt" : "2026-06-12T04:32:39.373", "lastUpdated" : "2026-06-14T23:07:31.480", "ingestTimestamp" : "2026-06-12T04:32:39.373", "mongoId" : "6a2a773574d8ee00a065da83", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 39520, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Weighing", "Packaging", "Advising guests", "Fresh pasta creation", "Guest education", "Customer service", "Italian cuisine", "Commercial mixer", "Pasta machine" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "Retail Market", "dataQualityScore" : 1.0, "_score" : 539.94025, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "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" : 539.47314, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 5976, "totalPages" : 120, "hasNext" : true, "hasPrevious" : false } }

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