{ "count" : 63066, "data" : [ { "id" : "6a307596f292fd229c0119c3", "title" : "Korean into English Copywriter", "company" : "Welocalize", "industry" : "Global Freelance & Agency Opportunities", "salary" : { "min" : 45000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Korean into English Copywriter in Europe, adjusted for remote work and the technology industry." }, "location" : "Remote - Europe", "locations" : [ "Remote - Europe", "Remote, Worldwide" ], "timestamp" : "2026-06-16T15:25:58.317", "fingerprint" : "efdbad46b5de060cc8a454135a9e85b042c060e6680284bbab1bddcde91d19f9", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/weloglobal/89f4bd78-d121-4e3d-bc40-69b5272cfe96/apply", "externalId" : "89f4bd78-d121-4e3d-bc40-69b5272cfe96", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Copy editing", "Translation", "Localization" ], "hardSkillsList" : [ "English copywriting" ], "hardSkills" : [ { "name" : "English copywriting", "level" : "intermediate" } ], "majorSkills" : "Localization, Marketing tone", "majorSkillsList" : [ "Localization", "Marketing tone" ], "coreResponsibilities" : "Create 8 English title options, Develop titles for Korean content, Balance natural English with cultural authenticity, Reflect original Korean title's core meaning, Deliver meaningful titles, Deliver culturally relevant titles, Deliver universally appealing titles, Answer client stakeholder questions, Provide rationales for title choices, Add rationales to exploration documents", "teamCollaboration" : "Client stakeholders; Global production teams; Localization teams", "domainKnowledge" : "Korean content localization; English content localization; Marketing tone; Brand voice; Customer-facing communication", "domainList" : [ "korean-content-localization", "english-content-localization", "marketing-tone", "brand-voice", "customer-facing-communication" ], "domainSpecificKnowledge" : [ "Korean content localization", "English content localization", "Marketing tone", "Brand voice", "Customer-facing communication" ], "communicationSkills" : "Answer questions in English", "documentationSkills" : "Title exploration analysis", "outcomesObjectives" : "Create resonant titles; Deliver meaningful titles; Deliver culturally relevant titles; Deliver universally appealing titles", "qualificationsBasic" : "Native proficiency in English, Excellent command of Korean, 3+ years of professional experience in translation, Degree in Translation, Linguistics, or related field OR 5+ years of professional translation experience without a formal translation degree, Demonstrated experience as copywriter, Understanding of marketing tone, Understanding of brand voice, Understanding of customer-facing communication, Excellent attention to detail, Excellent terminological consistency, Excellent linguistic accuracy, Ability to deliver high-quality copy edits, Meeting deadlines, Flexible, reliable, and responsive, Fast-paced localization environment, Communication skills, Openness to feedback and revisions, Provide rationales for title choices, Write rationales in English and Korean", "qualificationsPreferred" : "Transcreator/copywriter with vast experience, Passion for marketing, Mother tongue language, Bold, brave, effective language, Language that resonates with audience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. OVERVIEW MAIN PURPOSE OF THE JOB Welocalize is looking for a Korean into English copywriter with proven experience to join our growing team. This is an on-going freelance and remote position. Project Details Location: Remote Expected Volume: The goal of this project is to create 8 English titles options across two distinct creative exploration groups for Korean content that resonate with both English-speaking and Korean-speaking audiences.Titles should balance natural English with cultural authenticity, reflecting the original Korean title's core meaning and storyline. The focus is on delivering titles that are meaningful, culturally relevant, and universally appealing. There will be some vetting with relevant client stakeholders so candidate must be readily available to answer any questions in English (Korean language support will be provided). Employment Type: Freelance/Independent Contract Task type: Copy-Editing (CE) ## Requirements Native proficiency in English with excellent command of Korean Proven experience with copy editing Korean (ko-KR) to English (en-US) content 3+ years of professional experience in translation with a degree in Translation, Linguistics, or a related field OR 5+ years of professional translation experience without a formal translation degree Demonstrated experience as copywriter Strong understanding of marketing tone, brand voice, and customer‑facing communication Excellent attention to detail, terminological consistency and linguistic accuracy Ability to deliver high‑quality copy edits while meeting deadlines Flexible, reliable, and responsive in a fast‑paced localization environment Strong communication skills and openness to feedback and revisions When requested, the candidate would need to provide rationales for title choices, which should be added to title exploration or analysis documents (ie: for Korean-to-English localization, rationales must be written in both English and Korean) ## WHAT DO WE OFFER Steady volume of projects with the opportunity for a long‑term partnership Collaboration with global production and localization teams Work within a multicultural, international environment covering a wide range of content types and domains On‑time, reliable payments Onboarding and ongoing training Access to well‑defined linguistic assets Exposure to high‑visibility, large‑scale global products ## Additional Information Qualifications Here is how we imagine our ideal candidate: Transcreator/copywriter with vast experience in copywriting; Transcreator/copywriter with passion for marketing and mother tongue language. We also need you to be good at: Teamwork: The end copy must be the result of true collaboration between the different stakeholders involved. Language: must be bold, brave, effective and resonate with audience If this opportunity sounds appealing to you, please apply below. We look forward to hearing from you! Welocalize Talent Management Team Job Reference: #LI-JC1", "summaryDescription" : "Korean into English Copywriter at Welocalize. Skills: Localization, Marketing tone. Create 8 English title options. Develop titles for Korean content", "postedDate" : "2026-06-15T08:30:37.599", "createdAt" : "2026-06-15T08:30:37.599", "lastUpdated" : "2026-06-16T15:25:58.317", "ingestTimestamp" : "2026-06-16T03:26:17.308", "mongoId" : "6a307596f292fd229c0119c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "English copywriting", "Localization", "Marketing tone", "Copy editing", "Translation", "Korean content localization", "English content localization", "Brand voice", "Customer-facing communication" ], "skillCount" : 9, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4952beec4dd3d931808", "title" : "Sr. Product Manager, Lifecycle, Marketing and Prime", "company" : "Servicios Comerciales Amazon Mexico S. de R.L. de C.V.", "industry" : "Project/Program/Product Management--Non-Tech, Product Management, Retail", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in Mexico City, adjusted for Senior Product Manager role and full-time employment." }, "location" : "Mexico City, Mexico City, MEX", "locations" : [ "Mexico City, Mexico City, MEX" ], "timestamp" : "2026-06-15T00:54:03.647", "fingerprint" : "55fca18a5426fb669321ae1661bbe9f8a2d60abcacc9df9b62df6236f83d24cd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385647/apply", "externalId" : "117775ec-d1d2-4540-bb7e-14691c5f0024", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, Mexico City, Mexico", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Customer behavior analysis", "Customer engagement", "Scalable experimentation", "Marketing strategy", "Marketing investment" ], "hardSkillsList" : [ "Segmentation models", "Lifecycle offers", "Customer-facing experiments", "Cross-channel initiatives", "Repeat purchasing" ], "softSkillsList" : [ "Entrepreneurial spirit", "Influence others", "Cross-functional leadership" ], "hardSkills" : [ { "name" : "Segmentation models", "level" : "intermediate" }, { "name" : "Lifecycle offers", "level" : "intermediate" }, { "name" : "Customer-facing experiments", "level" : "intermediate" }, { "name" : "Cross-channel initiatives", "level" : "intermediate" }, { "name" : "Repeat purchasing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial spirit" }, { "name" : "Influence others" }, { "name" : "Cross-functional leadership" } ], "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Own experimental testing design, Inform future campaigns, Develop segmentation models, Retarget key segments, Drive onsite improvements, Drive customer-facing experiments, Coordinate with project managers, Coordinate with web developers, Coordinate with buyers, Coordinate with designers, Coordinate with merchandisers, Partner to iterate and test, Drive lifecycle progression, Partner to drive automation, Identify best practices, Manage local implementation, Ownership of planning, Ownership of designing, Ownership of executing cross-channel initiatives, Drive adoption of new shopping behaviors, Lead to repeat purchasing, Document best practices, Serve as a model", "teamCollaboration" : "Work closely with central teams; Work closely with marketplaces; Collaborate with internal teams; Collaborate with international teams; Collaborate with consumer marketing; Collaborate with category teams; Collaborate with peers", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "E-commerce; Customer lifecycle; Marketing analytics", "domainList" : [ "e-commerce", "customer-lifecycle", "marketing-analytics" ], "domainSpecificKnowledge" : [ "E-commerce", "Customer lifecycle", "Marketing analytics" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document best practices", "continuousLearning" : "Annual learning experiences; Ongoing learning experiences; Knowledge sharing; Mentorship", "innovationCreativity" : "Experimenting; Launching new products; Launching new programs", "problemSolvingSkills" : "Diving deep; Consultative approach", "specialRequirements" : "Written and verbal Spanish", "outcomesObjectives" : "Improve engagement; Drive customer engagement; Improve results continuously; Drive adoption; Lead to repeat purchasing", "qualificationsBasic" : "5+ years product management, 5+ years program management, 5+ years product marketing, 5+ years business development, 5+ years technology experience, 7+ YOE stakeholder management, Fluency in English", "qualificationsPreferred" : "Experience influencing senior leadership, Experience working across functional teams, Experience working with senior stakeholders, Experience managing multiple competing priorities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The MX Lifecycle Senior Product Manager studies customer behavior to uncover insights aiming to improve engagement. The Sr. PM will work closely with central teams and other marketplaces to drive customer engagement by (1) experimenting to identify new scalable solutions; (2) launching new products or programs in MX; (3) influencing marketing strategies based on their deep understanding of the customer; and (4) guiding marketing investment strategies. • The successful candidate will be a self-starter, with strong attention to detail, capable of diving deep and able to work in a fast-paced and ever-changing environment. She/he will take a consultative approach to help internal customers achieve their goals. • This person must have strong written and verbal communications skills in both Spanish and English, as well as an entrepreneurial spirit, the ability to influence others and strong cross-functional leadership. He or she will be known for rigorous testing, measurement, and iteration to improve results continuously. • This Product Manager will collaborate closely with internal (consumer marketing and category teams) and international teams (central teams and peers across the world). Key job responsibilities Own the experimental testing design to uncover key insights and inform future campaigns. Develop segmentation models for retargeting key segments with experimental Lifecycle offers and messaging. Drive onsite improvements and customer-facing experiments to completion by coordinating with project managers, web developers, buyers, designers, and other merchandisers. Partner with program owners throughout Amazon, to iterate and test different ways in to drive lifecycle progression. Partner with technical and business teams to drive automation. Partner with global teams to identify best practices, processes and systems required to deliver desired programs in MX and then manage their local implementation. Ownership of planning, designing and executing cross-channel product marketing initiatives that drive adoption of new shopping behaviors and lead to repeat purchasing. Document best practices in execution and reporting that will serve as a model for partner teams. About the team Inclusive team culture At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work Life Balance We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional. Basic Qualifications: - 5+ years of product or program management, product marketing, business development or technology experience - Bachelor's degree - +7 YOE of stakeholder management - Fluency in English, written and spoken Preferred Qualifications: - Experience in influencing senior leadership through data driven insights - Experience working across functional teams and senior stakeholders - Experience in managing multiple, competing priorities simultaneously 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" : "Sr. Product Manager, Lifecycle, Marketing and Prime at Servicios Comerciales Amazon Mexico S. de R.L. de C.V.. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Own experimental testing design. Inform future campaigns", "postedDate" : "2026-06-13T09:23:56.070", "createdAt" : "2026-06-13T09:23:56.070", "lastUpdated" : "2026-06-15T00:54:03.647", "ingestTimestamp" : "2026-06-13T09:23:56.070", "mongoId" : "69d5e4952beec4dd3d931808", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385647/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Segmentation models", "Lifecycle offers", "Customer-facing experiments", "Cross-channel initiatives", "Repeat purchasing", "Entrepreneurial spirit", "Influence others", "Cross-functional leadership", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Customer behavior analysis", "Customer engagement", "Scalable experimentation", "Marketing strategy", "Marketing investment", "Program management", "Project management", "E-commerce", "Customer lifecycle", "Marketing analytics" ], "skillCount" : 22, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68ed10ab70f0b99d58e7ba89", "title" : "Program Manager – Product Lifecycle Support (PLS), WWRR RCX - Product Lifecycle Support", "company" : "Amazon Dev Center India", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, transportation and logistics", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Program Manager in E-commerce in Hyderabad, India, adjusted for company size and industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T08:40:36.906", "fingerprint" : "c18d3c0baf741085b8ae31f1b2c6d18936eb6022d12fef3efdd100ee43e383f5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105057/apply", "externalId" : "45098398-05aa-40f7-9e58-07480a31f10b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Excel, Data visualization", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Forecasting enrollments", "Tracking metrics", "Product improvements", "Operational improvements" ], "hardSkillsList" : [ "Data analysis", "Data insights", "Data-backed decisions", "Standard operating procedures", "SQL optimization", "Excel analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data insights", "level" : "intermediate" }, { "name" : "Data-backed decisions", "level" : "intermediate" }, { "name" : "Standard operating procedures", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Excel analysis", "level" : "intermediate" } ], "majorSkills" : "Program management, Process improvement, Data analysis", "majorSkillsList" : [ "Program management", "Process improvement", "Data analysis" ], "coreResponsibilities" : "Improve support quality, Streamline processes, Forecast enrollments, Track SLAs, Resolve issues, Maintain feedback channels, Drive improvements, Identify problems, Create data-driven solutions, Monitor performance, Guide leadership decisions, Enhance quality, Develop solutions, Improve efficiency, Improve reliability, Provide partner insights, Build feedback loops, Align stakeholders, Lead collaboration, Implement scalable solutions, Boost operational efficiency, Boost customer satisfaction", "teamCollaboration" : "Product teams; Technology teams; Operations teams; Partnering teams; Cross-functional teams; Business teams", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Product Lifecycle Support; Post-purchase support; Warranty repair; Replacement parts", "domainList" : [ "product-lifecycle-support", "post-purchase-support", "warranty-repair", "replacement-parts" ], "domainSpecificKnowledge" : [ "Product Lifecycle Support", "Post-purchase support", "Warranty repair", "Replacement parts" ], "toolProficiency" : [ "SQL", "Excel", "Data visualization tools", "MS Access" ], "communicationSkills" : "Stakeholder communication; Cross-functional communication", "documentationSkills" : "Requirement documents", "problemSolvingSkills" : "Data-driven solutions; Root cause analysis", "outcomesObjectives" : "Improve support quality; Streamline processes; Reduce avoidable returns; Generate positive impacts; Improve support efficiency; Improve support reliability; Boost operational efficiency; Boost customer satisfaction; Deliver measurable improvements", "qualificationsBasic" : "2+ years program management, Bachelor's degree, Analyze large datasets, Implement data-backed decisions, Develop SOPs, Proficiency in SQL, Proficiency in Excel, Proficiency in data visualization tools, Excellent communication skills, Stakeholder management skills, Influence cross-functional teams, Customer-first mindset", "qualificationsPreferred" : "Knowledge of Lean principles, Knowledge of DMAIC methodology, Experience in MS Access, Experience in SQL, Experience in requirement gathering, Write clear requirement documents", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's Product Lifecycle Support (PLS) offers relevant post-purchase product support to customers, and empowers them to make the most of the products purchased on Amazon. By solving post-purchase product issues, we prevent avoidable returns and help the planet by extending the life of products, thereby generating positive financial and environmental impacts. PLS first launched in Q4 2015 featuring a warranty repair option for Samsung laptops surfaced during the returns process in the Online Return Center (ORC). Since then, PLS has grown substantially, and now offers customers eight product support options - (1) Live call & chat with Amazon product support agent available up to 6 months, (2) Live call & chat with the brand product support agent available up to 2 years, (3) contact the manufacturer yourself by accessing brand phone number and/ support website available up to 2 years, (4) access free warranty repair services available up to 2 years, (5) accessing free replacement parts available until return window, (6) access other sustainable end-of-life options such as trade-in, resell, refill, recycle, donate etc. available up to 2 years, (7) help yourself by watching step-by-step video instructions provided by the brand, and (8) help yourself by following step-by-step instructions provided by the brand. Amazon’s Product Lifecycle Support (PLS) team is seeking a results-driven Program Manager to lead initiatives that enhance the quality of customer support through the PLS Replacement Parts Program. This role requires close collaboration with Product, Technology, Operations, and Partnering teams to identify challenges, develop solutions, and improve support efficiency and reliability. You will be responsible for forecasting enrollments and tracking key performance metrics like SLAs, providing partners with the insights needed for effective planning. Additionally, you will build and maintain strong feedback loops between Partnership and PLS business teams to drive product and operational improvements based on customer and partner input. As the central coordinator, you will align stakeholders, lead cross-functional collaboration, and implement scalable solutions that boost operational efficiency and customer satisfaction. Success in this role demands a proactive, data-driven mindset and excellent communication skills to influence teams and deliver measurable, lasting improvements in support quality Key job responsibilities Work with teams to improve support quality and streamline processes. Help forecast enrollments, track SLAs, and resolve issues. Maintain feedback channels to drive improvements. Identify problems and create data-driven solutions. Use data to monitor performance and guide leadership decisions. Basic Qualifications: - 2+ years of program or project management experience - Bachelor's degree or equivalent - Strong ability to analyze large datasets, draw insights, and implement data-backed decisions. - Experience developing and optimizing standard operating procedures (SOPs). - Proficiency in SQL, Excel, and data visualization tools to track and measure program impact. - Excellent communication and stakeholder management skills, with the ability to influence cross-functional teams. - Customer-first mindset with a focus on improving post-purchase support and reducing avoidable returns. Preferred Qualifications: - Knowledge of Lean principles and DMAIC methodology - Experience in MS Access and SQL - Experience in requirement gathering and ability to write clear and detailed requirement document 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" : "Program Manager – Product Lifecycle Support (PLS), WWRR RCX - Product Lifecycle Support at Amazon Dev Center India. Skills: Program management, Process improvement, Data analysis. Improve support quality. Streamline processes", "postedDate" : "2026-06-14T07:38:29.433", "createdAt" : "2026-06-14T07:38:29.433", "lastUpdated" : "2026-06-15T08:40:36.906", "ingestTimestamp" : "2026-06-14T07:38:29.433", "mongoId" : "68ed10ab70f0b99d58e7ba89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105057/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data insights", "Data-backed decisions", "Standard operating procedures", "SQL optimization", "Excel analysis", "Program management", "Process improvement", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Forecasting enrollments", "Tracking metrics", "Product improvements", "Operational improvements", "Project management", "Product Lifecycle Support", "Post-purchase support", "Warranty repair", "Replacement parts", "SQL", "Excel", "Data visualization tools", "MS Access" ], "skillCount" : 27, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c969074d8ee00a098ffac", "title" : "Sr Staff, SAP Product Lifecycle Management & Master Data Governance", "company" : "Monster Energy", "salary" : { "min" : 169500.0, "max" : 226000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corona, California, United States", "locations" : [ "Corona", "California", "United States" ], "timestamp" : "2026-06-16T02:53:19.437", "fingerprint" : "c8eaf6c7afb4b26c75977c838d72e8f5eb1b724f73711e8c7cb076306cd73fdb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monsterenergy/jobs/4216342009", "externalId" : "4216342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Corona", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.8752945,-117.5664440" } ], "locationText" : "Corona, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Sr Staff, SAP Product Lifecycle Management & Master Data Governance, you will lead and deliver global processes, business requirement, design, and governance in and around the space of SAP Product Lifecycle Management (PLM), Master Data Governance (MDG) and integrating with operations. Be a subject matter expert for SAP PLM, MDG space providing insight and support on global, cross-functional, or regional initiatives. Lead the initiative to establish a team of subject matter experts, gather and analyze business requirements, design, build, and implement systems, and provide hyper care support. The impact you'll make: Design, implement & oversee the global SAP PLM, MDG solutions to achieve business objectives. Lead projects in SAP PLM, MDG from inception to completion, including upgrades, enhancements, and new module implementations, ensuring they are delivered on time, within scope, and on budget Develop best practices solutions in the field of PLM & MDG. Serve as the point of contact in identifying latest trends in the field of Operations and evaluate appropriate solutions to drive efficiency. Partner with cross functional teams to deliver Operations transformational projects while adhering to project timelines. Analyze business requirements, prioritize based on solution cost/benefit analysis, present to department leader an successful implementation roadmap. Serve as the primary point of contact for SAP -related issues in the space of PLM & MDG, providing expert guidance and support to resolve technical challenges Responsible for maintenance and continuous improvement of PLM, MDG solutions by designing and implementing new functionalities to ensure they meet business requirements and performance standards. Actively engage with operations leaders to identify business problems that are conducive to AI and/or automation solutions in line with Digital Transformation (DT) road map and vision Partner closely with end-to-end solution verticals to understand requirements and ensure no business risk, quality and deliver the project on budget and timeline. Who you are: Prefer a Bachelor's Degree in the field of -- Supply Chain, Computer Science, Engineering, Management information systems (MIS) or related field. More than 7 years of experience in process mapping, design, configuration, customizing of SAP Solutions More than 7 years of experience in SAP PLM & MDG implementation, part of IT team Computer Skills Desired: SAP, ERP, S/4 Hana, SAP PLM, MDG, PPM & Microsoft tools. Experience in implementation of SAP PLM, MDG & end to end business processes. Preferred Certifications: APICS, SAP PLM, MDG, PPM Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location. Pay Range $169,500—$226,000 USD For United States applicants: Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Read our privacy policy here: Privacy Policy", "summaryDescription" : "Sr Staff, SAP Product Lifecycle Management & Master Data Governance at Monster Energy", "postedDate" : "2026-06-14T18:35:34.929", "createdAt" : "2026-06-14T18:35:34.929", "lastUpdated" : "2026-06-16T02:53:19.437", "ingestTimestamp" : "2026-06-14T18:35:34.929", "mongoId" : "6a2c969074d8ee00a098ffac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 169500, "salaryAnnualMax" : 226000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e54c40e2acd1b99a6d", "title" : "DC Lifecycle PM, Data Center Lifecycle Management", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Program Management, Cloud Computing", "salary" : { "min" : 74200.0, "max" : 129800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T03:36:51.416", "fingerprint" : "a21827d27bec4607d6834cc0982251fe3511607a26b97930846cd25e35754d24", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412504/apply", "externalId" : "96796042-fb9b-4bf4-b01f-09f31a5dbce8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Data-driven planning", "Disciplined execution", "Scalable workflows", "Process improvements", "Reporting mechanisms", "Execution plans", "Infrastructure optimization" ], "hardSkillsList" : [ "Data analysis", "Metrics analysis", "Process improvement", "Stakeholder management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics analysis", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Stakeholder management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Program management, Process improvement, Data analysis", "majorSkillsList" : [ "Program management", "Process improvement", "Data analysis" ], "coreResponsibilities" : "Lead executive-level reporting, Deliver root-cause analysis, Drive infrastructure optimization decisions, Pioneer data-driven process improvements, Pioneer automated solutions, Manage competing priorities, Navigate dependencies, Navigate trade-offs, Navigate critical path decisions, Deliver site-level execution plans, Build program mechanisms, Monitor infrastructure asset migration, Escalate infrastructure asset migration, Monitor asset retirement plans, Escalate asset retirement plans, Unite cross-functional teams, Drive execution vision", "teamCollaboration" : "Cross-functional teams; Multiple time zones", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Data center lifecycle; Infrastructure management; Cloud computing", "domainList" : [ "data-center-lifecycle", "infrastructure-management", "cloud-computing" ], "domainSpecificKnowledge" : [ "Data center lifecycle", "Infrastructure management", "Cloud computing" ], "toolProficiency" : [ "Excel", "SQL" ], "communicationSkills" : "Executive reporting; Root-cause analysis", "innovationCreativity" : "Pioneer scalable process improvements; Pioneer automated solutions", "problemSolvingSkills" : "Root-cause analysis; Data-driven decision making", "outcomesObjectives" : "Drive infrastructure optimization; Transform data center management; Deliver site-level execution plans", "qualificationsBasic" : "3+ years program management experience, 3+ years process improvement experience, Advanced Excel (Pivot Tables, VLookUps), SQL knowledge, Experience using data and metrics, Experience working cross functionally, Experience in stakeholder management, Bachelor's degree", "qualificationsPreferred" : "3+ years end to end delivery experience, 3+ years driving process improvements, Experience building processes, Experience project management, Experience with schedules, Master's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The AWS Infrastructure Services team is searching for a passionate and talented Program Manager to drive the planning, coordination, and execution of data center position recovery and optimization across our global infrastructure. AWS is at the forefront of a rapidly changing industry, operating at a scale and complexity that has never been tackled before. This role sits at the intersection of tactical execution, strategic program management, and cross-functional leadership. You'll have unparalleled visibility into how AWS keeps the cloud running — supporting the data centers, servers, storage, networking, power, and cooling systems that millions of customers rely on every day. This role influences how AWS optimizes its existing infrastructure footprint through data-driven planning and disciplined execution. It is responsible for managing complex, multi-variable programs that span networking, infrastructure, and regional business development teams. It will be responsible for developing scalable workflows, process improvements, and reporting mechanisms that drive accountability and eliminate non-value-add activity. This role bridges project delivery teams, senior leadership, and cross-functional stakeholders by driving execution plans and surfacing critical decisions at the right level. This is a high-impact role offering an opportunity to Think Big while delivering results on the ground — directly shaping the reliability, cost efficiency, and risk posture of AWS's global infrastructure. The ideal candidate is an exceptionally strong communicator, a trusted cross-functional partner, and a leader who thrives in ambiguity and drives clarity through structure. Join us in keeping the engine of cloud computing running at global scale. Key job responsibilities - Lead executive-level reporting on program health, delivering root-cause analysis and actionable insights that drive infrastructure optimization decisions - Pioneer scalable, data-driven process improvements and automated solutions that transform how AWS manages its existing data center portfolio - Manage competing priorities across multiple programs, navigating dependencies, trade-offs, and critical path decisions to deliver site-level execution plans - Build program mechanisms that monitor and escalate against the health of infrastructure asset migration and retirement plans for critical projects - Unite cross-functional teams — including project delivery, networking, infrastructure, and regional business development — around a shared execution vision across multiple time zones Basic Qualifications: - 3+ years of program or project management experience - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience using data and metrics to determine and drive improvements - Experience working cross functionally with tech and non-tech teams - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Preferred Qualifications: - 3+ years of driving end to end delivery, and communicating results to senior leadership experience - 3+ years of driving process improvements experience - Experience building processes, project management, and schedules - Master's degree in business, data science, public administration, finance, engineering, human resources or related field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Herndon - 74,200.00 - 129,800.00 USD annually USA, WA, Seattle - 82,700.00 - 129,800.00 USD annually", "summaryDescription" : "DC Lifecycle PM, Data Center Lifecycle Management at Amazon Data Services, Inc.. Skills: Program management, Process improvement, Data analysis. Lead executive-level reporting. Deliver root-cause analysis", "postedDate" : "2026-06-13T04:28:30.508", "createdAt" : "2026-06-13T04:28:30.508", "lastUpdated" : "2026-06-15T03:36:51.416", "ingestTimestamp" : "2026-06-13T04:28:30.508", "mongoId" : "69fda4e54c40e2acd1b99a6d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412504/apply", "salaryAnnualMin" : 74200, "salaryAnnualMax" : 129800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Metrics analysis", "Process improvement", "Stakeholder management", "Leadership", "Program management", "Data-driven planning", "Disciplined execution", "Scalable workflows", "Process improvements", "Reporting mechanisms", "Execution plans", "Infrastructure optimization", "Project management", "Data center lifecycle", "Infrastructure management", "Cloud computing", "Excel", "SQL" ], "skillCount" : 19, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305119f292fd229cef9c97", "title" : "Lead Product Manager, Data and AI", "industry" : "Product", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Product Manager, Data and AI in Bulgaria, adjusted for SaaS industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:00:21.262", "fingerprint" : "82fe4f4fdc8ab1372055aa6158ae911736d6dc6afa73b5b74d4c6341bc3b8381", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f4b9f71e-4327-4077-a695-5a7cf7ad3271/apply", "externalId" : "f4b9f71e-4327-4077-a695-5a7cf7ad3271", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Machine learning, Generative AI, Large language models, LLMs, Advanced analytics", "professionalSkills" : [ "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making" ], "hardSkillsList" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI development", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Product performance measurement", "level" : "intermediate" }, { "name" : "Experimentation frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, Generative AI, Analytics solutions", "majorSkillsList" : [ "Machine learning", "Generative AI", "Analytics solutions" ], "coreResponsibilities" : "Define product vision and roadmap, Execute product vision and roadmap, Align initiatives with business objectives, Lead development of AI solutions, Lead deployment of AI solutions, Manage product lifecycle, Collaborate with cross-functional stakeholders, Integrate intelligent capabilities into products, Establish frameworks for measuring product performance, Establish frameworks for experimentation, Establish frameworks for business impact, Use data-driven insights for decision-making, Use data-driven insights for optimization, Translate business challenges into product requirements, Act as bridge between technical and non-technical stakeholders, Promote responsible AI development, Partner with governance stakeholders, Partner with privacy stakeholders, Partner with compliance stakeholders, Ensure ethical product outcomes, Ensure secure product outcomes, Ensure reliable product outcomes, Mentor team members, Contribute to product management best practices, Foster culture of innovation, Foster culture of collaboration, Foster culture of continuous improvement", "teamCollaboration" : "Cross-functional stakeholders; Product teams; Engineering teams; Design teams; Operations teams; Business teams; Multidisciplinary teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization", "Execution" ], "domainKnowledge" : "Machine learning concepts; Generative AI technologies; Large language models; LLMs; Advanced analytics; AI infrastructure; Data privacy; Data governance; AI security; Ethical AI principles", "domainList" : [ "machine-learning-concepts", "generative-ai-technologies", "large-language-models", "llms", "advanced-analytics", "ai-infrastructure", "data-privacy", "data-governance", "ai-security", "ethical-ai-principles" ], "domainSpecificKnowledge" : [ "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "communicationSkills" : "Explain technical concepts; Explain trade-offs", "continuousLearning" : "Product management best practices", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Navigate ambiguity; Prioritize competing objectives; Execute complex initiatives", "qualificationsBasic" : "Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products, Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions, Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives, Experience working across multidisciplinary teams in fast-paced environments", "qualificationsPreferred" : "Familiarity with regulated industries, Understanding of data privacy, governance, security, and ethical AI principles", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute a multi-year product vision and roadmap for data and AI platforms, aligning initiatives with business objectives, growth strategies, and operational priorities. Lead the development and deployment of advanced AI, machine learning, generative AI, and analytics solutions, managing the full product lifecycle from ideation and experimentation to scalable production delivery. Collaborate closely with cross-functional stakeholders across product, engineering, design, operations, and business teams to integrate intelligent capabilities into core products and workflows. Establish frameworks for measuring product performance, experimentation, and business impact, using data-driven insights to guide decision-making and optimization efforts. Translate complex business challenges into clear product requirements and act as a bridge between technical specialists and non-technical stakeholders. Promote responsible AI development by partnering with governance, privacy, and compliance stakeholders to ensure ethical, secure, and reliable product outcomes. Mentor team members, contribute to product management best practices, and help foster a culture of innovation, collaboration, and continuous improvement. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, with a strong track record of delivering large-scale products. At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products. Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions. Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives. Strong communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to executive and non-technical audiences. Experience working across multidisciplinary teams in fast-paced environments and influencing decisions without direct authority. Familiarity with regulated industries and an understanding of data privacy, governance, security, and ethical AI principles is considered a strong advantage. Benefits Annual base salary ranging from $161,000 to $221,500, depending on experience, qualifications, and location. Eligibility for performance-based or discretionary bonus programs. Comprehensive healthcare coverage, including medical, dental, vision, life, and disability insurance options. Flexible spending accounts (FSA) and health savings account (HSA) programs. Access to coaching, therapy, and well-being support services. Equity participation through company stock programs. Generous paid time off, including vacation, sick leave, and company holidays. Paid parental leave. 401(k) retirement plan with company matching contributions. Monthly technology allowance. Additional wellness initiatives, employee events, recognition programs, and community-focused activities. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Lead Product Manager, Data and AI. Skills: Machine learning, Generative AI, Analytics solutions. Define product vision and roadmap. Execute product vision and roadmap", "postedDate" : "2026-06-15T09:26:38.520", "createdAt" : "2026-06-15T09:26:38.520", "lastUpdated" : "2026-06-16T13:00:21.262", "ingestTimestamp" : "2026-06-16T03:24:32.331", "mongoId" : "6a305119f292fd229cef9c97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks", "Leadership", "Mentoring", "Machine learning", "Generative AI", "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making", "Prioritization", "Execution", "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "skillCount" : 26, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306647f292fd229cfafc8d", "title" : "Lead Product Manager, Data and AI", "company" : "Lyra Health", "industry" : "Product", "salary" : { "min" : 161000.0, "max" : 221500.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T11:46:32.032", "fingerprint" : "7be737cc8ee8a6035793f5d2e69d5f06381cd02b4aff658c15d77ee3e54d1515", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lyrahealth/e3d731e8-eea0-4ae4-bd9a-5624b91ca129/apply", "externalId" : "e3d731e8-eea0-4ae4-bd9a-5624b91ca129", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "remoteFriendly" : true, "rawDescription" : "## Description About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. ## Responsibilities Product Vision & Strategy: Define and champion a compelling multi-year product vision and roadmap for data and AI platforms, aligning technical milestones with Lyra's business growth, revenue objectives, and clinical goals. GenAI & Modern Lifecycle Management: Drive high-impact opportunities leveraging generative AI, Large Language Models (LLMs), agentic AI, and advanced analytics, managing the entire lifecycle from ideation and rapid experimentation to scalable production deployment. Cross-Functional Leadership: Collaborate extensively across complex matrixed stakeholder groups—including Product, Design, Engineering, Clinical Quality, and GTM teams—to embed smart AI capabilities directly into core member experiences and operations. Responsible AI & Governance: Partner closely with Legal, Privacy, and Clinical leadership to maintain rigorous responsible AI practices Impact Metrics & Optimization: Design robust measurement and experimentation frameworks (such as online controlled A/B testing) to track model effectiveness, quantify business outcomes, and evaluate trade-offs between tactical execution and long-term research. Technical Team Collaboration: Translate unstructured business pain points into crisp, detailed product requirements, acting as a translator between highly technical data disciplines and non-technical business leaders. Mentorship & Culture: Lead by example, mentoring junior team members, sharing technical product management best practices, and actively fostering a highly rigorous, data-driven culture across the product organization. ## Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related highly quantitative field. Product Experience: 8+ years (Lead PM) of progressive product management experience within successful enterprise SaaS, cloud-based software, or health tech organizations, with a proven history of launching large-scale products with complex dependencies. Data & AI Expertise: 3+ years of direct experience shipping machine learning and data-driven products at scale. Deep understanding of modern machine learning algorithms, deep learning techniques, generative AI use cases, and the infrastructure needed to deploy LLMs contextually. Communication Skills: Exceptional written and verbal communication, narrative storytelling, and presentation skills; masterful ability to communicate complex algorithmic systems and technical trade-offs to non-technical executive teams and demanding corporate customer audiences. Strategic Execution: Proven capacity to methodically unpack ambiguity, handle competing objectives, establish clear product boundaries, and maintain a calm, execution-oriented mindset in a fast-paced, high-velocity environment. Healthcare Alignment (Nice-to-Have): Prior experience navigating a highly regulated industry (Healthcare Tech, FinTech) with an innate respect for data ethics, privacy constraints, and patient clinical quality. ## Additional Information \"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice.\"", "summaryDescription" : "Lead Product Manager, Data and AI at Lyra Health. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T02:55:35.385", "createdAt" : "2026-06-15T02:55:35.385", "lastUpdated" : "2026-06-16T11:46:32.032", "ingestTimestamp" : "2026-06-16T03:24:16.833", "mongoId" : "6a306647f292fd229cfafc8d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 161000, "salaryAnnualMax" : 221500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7fe674d8ee00a0956d12", "title" : "Associate/AVP, Quantitative Strategies Group", "company" : "Cross River", "industry" : "Banking", "salary" : { "min" : 150000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Fort Lee, New Jersey, United States", "locations" : [ "Fort Lee", "New Jersey", "United States" ], "timestamp" : "2026-06-16T03:27:15.846", "fingerprint" : "4f97d293c1f8b38069b3ea3bc93c6b9f40783a060390e5524c40c2a045012cdc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.crossriver.com/greenhouse?gh_jid=7770430003", "externalId" : "7770430003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Lee", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.8509333,-73.9701382" } ], "locationText" : "Fort Lee, New Jersey, United States", "employmentType" : "FULL_TIME", "rawDescription" : "Who We Are Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe. Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance. What We're Looking For The Quantitative Strategies Group (QSG) at Cross River is seeking an Associate/AVP, Quant Strategist to join its growing team. The team sits within the Capital Solutions Group (CSG) and serves as a centralized function for investment intelligence and quantitative decision making across investment, structuring, and portfolio management initiatives. The role sits at the intersection of structured finance, investment strategy, and advanced analytics - bridging the gap between raw data and capital decisions. The role will work closely with the Structured Products Group (SPG) and Principal Finance Group (PFG) to support investment underwriting, new deal origination, term ABS issuance/advisory, and active portfolio management. The ideal candidate will combine strong analytical and technical skills with commercial judgement - someone who can analyze collateral performance, understand relevant risk factors, form a view on underlying assets, build scalable analytical tools, and translate complex quantitative outputs into clear investment recommendations. This is a high-impact role for someone who wants exposure to live transactions, structured credit markets, and data-driven decision-making. Responsibilities: Work closely with SPG and PFG to provide quantitative and analytical insights across investment opportunities, ABS securitizations, and structured credit transactions - from deal inception through execution Support capital commitment objectives through systematic underwriting of investment opportunities. Deliver refined and polished views on analytics, base/stress assumptions, and cashflow models that accurately capture the risk/reward dynamics of potential trades Support investment advisory mandates by producing market-ready analytics, comparative deal analyses, and performance benchmarks that help articulate differentiated value proposition to clients and counterparties Develop and maintain analytical frameworks to evaluate collateral pools, form views on key pricing assumptions (e.g., prepayment speeds, default/loss curves), and deliver actionable insights that inform deal economics and structuring decisions Translate quantitative outputs into clear/concise narratives and presentation materials that support pitch efforts, client discussions, and internal committees Partner with the team to identify, prioritize, and integrate high-impact AI use cases across workflows. Explore and implement AI-driven approaches to collateral analysis using LLMs and Python based tools Partner with other functions within CSG and across the bank to ensure consistency in assumptions, methodologies, and market intelligence used across the group Qualifications: Master’s degree in financial engineering, math, statistics, computer science, or any another quantitative/analytical field required 3+ years of experience in Structured Finance, Securitization, or broader Fixed Income markets is required. Direct exposure to ABS products is strongly preferred Strong understanding of cashflow modeling and securitization mechanics - deal waterfalls, tranche structures, collateral performance analysis is preferred Proficiency in advanced excel & programming is required for this role. Hands-on experience in Python & SQL is critical for success Excellent communication and presentation skills - ability to distill complex analytics into clear, persuasive narratives for both internal stakeholders and external counterparties Builder's mentality - someone who doesn't just use existing tools but actively seeks to improve how the team works by introducing new technologies, frameworks, and AI-driven efficiencies Ability to thrive in a fast-paced, deal-driven environment with competing priorities and tight turnaround times Detail-oriented with strong organizational skills and a proactive, ownership-driven mindset #LI-JJ1 #LI-Hybrid #LI-Onsite Salary Range: $150,000.00 - $190,000.00 Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.", "summaryDescription" : "Associate/AVP, Quantitative Strategies Group at Cross River", "postedDate" : "2026-06-14T21:31:33.591", "createdAt" : "2026-06-14T21:31:33.591", "lastUpdated" : "2026-06-16T03:27:15.846", "ingestTimestamp" : "2026-06-14T21:31:33.591", "mongoId" : "6a2c7fe674d8ee00a0956d12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "69d3e6b92beec4dd3d3f7436", "title" : "Product Lifecycle Mechanical Engineer, Data Center Mechanical Solutions", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 116800.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "certifications" : [ "Professional Engineer License" ], "timestamp" : "2026-06-14T23:37:51.021", "fingerprint" : "cfa2e37d54db9ece490946f74e43e823ddd770baf5af6892cb145d947ee28633", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383984/apply", "externalId" : "910c56b1-f658-4be3-bac0-5891f9492ad1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Piping systems, Pumping systems, Air handler systems", "professionalSkills" : [ "Manufacturing experience", "Cooling product design", "Cooling principles", "Quality manufacturing practices", "Equipment specifications", "Failure mode analysis", "Root cause analysis", "Product improvements" ], "hardSkillsList" : [ "Mechanical engineering", "Liquid cooling" ], "hardSkills" : [ { "name" : "Mechanical engineering", "level" : "intermediate" }, { "name" : "Liquid cooling", "level" : "intermediate" } ], "majorSkills" : "Data center cooling, Product lifecycle, Mechanical engineering", "majorSkillsList" : [ "Data center cooling", "Product lifecycle", "Mechanical engineering" ], "coreResponsibilities" : "Support AWS data centers' liquid cooling infrastructure, Work with product development teams, Maintain engineering ownership throughout operational life, Serve as global engineering resource for liquid cooling, Provide recommendations despite uncertainty, Review, update, and approve equipment submittals, Work with global liquid cooling equipment suppliers, Build trust and relationships with stakeholders, Work on concurrent projects, Explain complex systems, Support Operations, Analyze failure modes, Perform root cause analysis, Support maintenance and troubleshooting, Review operating procedures, Listen to voice of customer, Design product improvements, Oversee root cause analysis, Contribute to global body of knowledge, Drive continuous improvement", "teamCollaboration" : "Global engineering team; Product development teams; Global suppliers and manufacturers; Reliability, operations, design, compliance", "projectManagementSkills" : [ "Concurrent projects" ], "domainKnowledge" : "Data center liquid cooling; Mission critical facilities; Power generation; Oil and gas facilities", "domainList" : [ "data-center-liquid-cooling", "mission-critical-facilities", "power-generation", "oil-and-gas-facilities" ], "domainSpecificKnowledge" : [ "Data center liquid cooling", "Mission critical facilities", "Power generation", "Oil and gas facilities" ], "communicationSkills" : "Explain complex systems", "documentationSkills" : "Construction drawings; Specifications; Submittal documents", "innovationCreativity" : "Innovative projects", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "30% travel, Intermittent travel, Domestic travel, International travel", "outcomesObjectives" : "Increase product reliability; Increase product availability", "qualificationsBasic" : "4+ years industrial/commercial engineering in mission critical facilities, 4+ years commissioning experience, Bachelor's degree in Electrical Engineering or related field, Experience researching new designs, technologies, construction methods of data center equipment and facilities", "qualificationsPreferred" : "Professional Engineer License, Experience with building codes and regulations, Experience carrying design concepts through exploration, development, and into deployment or mass production, Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is seeking a Mechanical Engineer to be part of a global engineering team responsible for ownership and continuous improvement related to data center liquid cooling infrastructure products within our rapidly expanding data center footprint. We seek engineers with hands-on mechanical and manufacturing experience in liquid cooling products. Experience leading cooling product design, understanding cooling principles, and knowledge of quality manufacturing practices is essential. You should comprehend detailed equipment specifications, piping systems, pumping systems, air handler systems and evaluate design change implications. As a Global Amazon Product Lifecycle Engineer, you'll support AWS data centers' liquid cooling infrastructure. You'll work with product development teams to understand products during development and testing, maintaining engineering ownership throughout operational life. You'll serve as the global engineering resource for liquid cooling AWS infrastructure in data centers. Amazon has a global presence. Intermittent travel will be necessary and should be expected to be around 30%. While most travel will be domestic, some international travel may be necessary. This position can be based out of Herndon VA, Austin, TX or Columbus, OH. Key job responsibilities • Possess strong engineering judgement and are able to provide recommendations despite uncertainty • Are detail and data oriented • Have experience engineering air handling, piping and/or pumping products • Review, update, and approve equipment submittals • Work with global liquid cooling equipment suppliers and manufacturers • Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance) • Work on concurrent projects, in multiple geographic zones • Understand and explain complex systems in clear and concise language • Support Operations including failure mode and root cause analysis, maintenance and troubleshooting support, and operating procedure review for both mechanical and electrical issues. • Listen to the voice of the customer to understand if there are improvements that can be made to increase product reliability or availability. • Work with global supplier and manufacturers to design product improvements, and to oversee root cause analysis. • Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you! About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. #DCE_P&S Basic Qualifications: - 4+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - 4+ years of commissioning experience - Bachelor's degree in Electrical Engineering or a related field - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications: - Professional Engineer License - Experience with building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents 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, OH, COLUMBUS - 116,800.00 - 160,000.00 USD annually USA, TX, Austin - 116,800.00 - 160,000.00 USD annually USA, VA, Herndon - 116,800.00 - 160,000.00 USD annually USA, WA, Seattle - 116,800.00 - 160,000.00 USD annually", "summaryDescription" : "Product Lifecycle Mechanical Engineer, Data Center Mechanical Solutions at Amazon Data Services, Inc.. Skills: Data center cooling, Product lifecycle, Mechanical engineering. Support AWS data centers' liquid cooling infrastructure. Work with product development teams", "postedDate" : "2026-06-13T05:36:20.139", "createdAt" : "2026-06-13T05:36:20.139", "lastUpdated" : "2026-06-14T23:37:51.021", "ingestTimestamp" : "2026-06-13T05:36:20.139", "mongoId" : "69d3e6b92beec4dd3d3f7436", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383984/apply", "salaryAnnualMin" : 116800, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mechanical engineering", "Liquid cooling", "Data center cooling", "Product lifecycle", "Manufacturing experience", "Cooling product design", "Cooling principles", "Quality manufacturing practices", "Equipment specifications", "Failure mode analysis", "Root cause analysis", "Product improvements", "Concurrent projects", "Data center liquid cooling", "Mission critical facilities", "Power generation", "Oil and gas facilities", "Professional Engineer License" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "69c94a869bc74574cbbb4f78", "title" : "Product Lifecycle Electrical Engineer, Data Center Electrical Products", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 116800.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T02:40:25.324", "fingerprint" : "33b32840194e7b93fe9bb89432e946644a427bdd3dac8d672cf8980ef7dd977b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3195096/apply", "externalId" : "fad8f479-ed27-492f-b994-257180812459", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" }, { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" }, { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Herndon, Virginia, United States; Austin, Texas, United States; Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Electrical Engineering, Electronics", "professionalSkills" : [ "Product design", "Electrical infrastructure", "Root cause analysis", "Product lifecycle management" ], "hardSkillsList" : [ "Electrical equipment specifications", "Manufacturing quality", "Electronics design", "Instrumentation control schematics", "Component integration" ], "hardSkills" : [ { "name" : "Electrical equipment specifications", "level" : "intermediate" }, { "name" : "Manufacturing quality", "level" : "intermediate" }, { "name" : "Electronics design", "level" : "intermediate" }, { "name" : "Instrumentation control schematics", "level" : "intermediate" }, { "name" : "Component integration", "level" : "intermediate" } ], "majorSkills" : "Electrical product design, Data center electrical, Product lifecycle", "majorSkillsList" : [ "Electrical product design", "Data center electrical", "Product lifecycle" ], "coreResponsibilities" : "Provide electrical infrastructure support, Collaborate with product development team, Gain deep understanding of products, Have engineering ownership of product, Be a global engineering resource, Review equipment submittals, Update equipment submittals, Approve equipment submittals, Work with global suppliers, Work with manufacturers, Build trust with stakeholders, Work on concurrent projects, Understand complex systems, Explain complex systems, Provide support to Field Engineering, Collaborate with quality team, Support maintenance, Support troubleshooting, Review operating procedures, Listen to customer voice, Understand product improvements, Increase product reliability, Increase product availability, Design product improvements, Oversee root cause analysis, Contribute to global knowledge, Drive continuous improvement", "teamCollaboration" : "Global engineering team; Cross-functional teams; Global electrical equipment suppliers; Global manufacturers; Product development team; Field Engineering; Quality team", "projectManagementSkills" : [ "Concurrent projects" ], "domainKnowledge" : "Electrical infrastructure; Data center operations; Electrical equipment; Electronics; Electric code; Data center designs; Data center architectures", "domainList" : [ "electrical-infrastructure", "data-center-operations", "electrical-equipment", "electronics", "electric-code", "data-center-designs", "data-center-architectures" ], "domainSpecificKnowledge" : [ "Electrical infrastructure", "Data center operations", "Electrical equipment", "Electronics", "Electric code", "Data center designs", "Data center architectures" ], "communicationSkills" : "Explain complex systems", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Intermittent travel, 30% travel, Domestic travel, International travel", "outcomesObjectives" : "Improve product reliability; Improve product availability; Drive continuous improvement", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 5+ years developing electrical products, 5+ years with systems or components, Experience launching products into production", "qualificationsPreferred" : "Ability to design for manufacturability, Create assembly specifications, Work with contract manufacturers, Interpret electric code NEC, Interpret NFPA, Interpret UL891, Interpret UL508, Interpret ANSI C37, Interpret IEC 62271, Interpret IEC61439, Experience with instrumentation control schematics, Experience with integration of electronics components, Knowledge of data center designs, Knowledge of data center architectures, Following industry design trends", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is seeking an electrical engineer to be part of a global engineering team responsible for ownership and continuous improvement related to electrical infrastructure products within our rapidly expanding data center footprint. This position can be based out of Herndon VA, Austin, TX or Columbus, OH. We are looking for engineers with hands on design, manufacturing and installation experience of electrical products. If you have experience leading product design of electrical products, have an understanding of electronics, and know how products should be manufactured to ensure quality you may be a good fit. You should be capable of understanding detailed electrical equipment specifications and evaluating the merit and risks of design changes. As a Global AWS Product Lifecycle Engineer, you will provide electrical infrastructure support to AWS data centers. You will collaborate with the product development team to gain deep understanding of all facets of each product as they are being developed and tested, and then have engineering ownership of the product through its operational life. You will be a global ‘go-to’ engineering resource for electrical AWS products deployed in data centers. Amazon has a global presence. Intermittent travel will be necessary and should be expected to be around 30%. While most travel will be domestic, some international travel may be necessary. Key job responsibilities • Review, update, and approve equipment submittals • Work with global electrical equipment suppliers and manufacturers • Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance) • Work on concurrent projects, in multiple geographic zones • Understand and explain complex systems in clear and concise language • Provide support to Field Engineering for root cause analysis, with collaboration with quality team for component-level investigations, maintenance and troubleshooting support, and operating procedure review for both mechanical and electrical issues. • Listen to the voice of the customer to understand if there are improvements that can be made to increase product reliability or availability. • Work with global supplier and manufacturers to design product improvements, and to oversee root cause analysis. • Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale Basic Qualifications: - Bachelor's degree in Electrical Engineering or a related field - 5+ years developing electrical and/or electronics products and launching them into production - 5+ years with systems or components including wiring, connectors, relays, circuit breakers, switchgear and/or transformers. Preferred Qualifications: - Ability to design for manufacturability, create assembly specifications and work with contract manufacturers. - Knowledge and experience to interpret electric code NEC, NFPA, UL891, UL508, ANSI C37 or IEC 62271 or IEC61439. - Experience with electronics including instrumentation control schematics and integration of electronics components. - Knowledge of typical data center designs/architectures, and be following industry design trends. 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, OH, COLUMBUS - 116,800.00 - 160,000.00 USD annually USA, TX, Austin - 116,800.00 - 160,000.00 USD annually USA, VA, Herndon - 116,800.00 - 160,000.00 USD annually", "summaryDescription" : "Product Lifecycle Electrical Engineer, Data Center Electrical Products at Amazon Data Services, Inc.. Skills: Electrical product design, Data center electrical, Product lifecycle. Provide electrical infrastructure support. Collaborate with product development team", "postedDate" : "2026-06-13T03:54:19.569", "createdAt" : "2026-06-13T03:54:19.569", "lastUpdated" : "2026-06-15T02:40:25.324", "ingestTimestamp" : "2026-06-13T03:54:19.569", "mongoId" : "69c94a869bc74574cbbb4f78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3195096/apply", "salaryAnnualMin" : 116800, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Electrical equipment specifications", "Manufacturing quality", "Electronics design", "Instrumentation control schematics", "Component integration", "Electrical product design", "Data center electrical", "Product lifecycle", "Product design", "Electrical infrastructure", "Root cause analysis", "Product lifecycle management", "Concurrent projects", "Data center operations", "Electrical equipment", "Electronics", "Electric code", "Data center designs", "Data center architectures" ], "skillCount" : 19, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a307ecdf292fd229c0528ca", "title" : "Data Product Manager", "company" : "Chainalysis", "industry" : "Corporate Functions", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Product Manager in the Technology industry in Canada, adjusted for remote work and company size." }, "location" : "Ontario", "locations" : [ "Ontario" ], "timestamp" : "2026-06-16T10:45:00.669", "fingerprint" : "58e233bcf18706acbae2c92e471a596308ff4239b251e62d76bc87670271a132", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/chainalysis-careers/dfe62aae-2b72-4593-8a59-fafc1e03785a/application", "externalId" : "dfe62aae-2b72-4593-8a59-fafc1e03785a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AWS Redshift, Databricks, Databricks Genie, Git, Github Enterprise, Dbt, Tableau, DataGrip", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Metric definition", "Semantic layer establishment", "Business logic", "Data modeling", "Stakeholder management", "Problem analysis" ], "hardSkillsList" : [ "Data warehousing", "Data modeling", "Analytics workflows", "Business metrics", "SQL optimization" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Analytics workflows", "level" : "intermediate" }, { "name" : "Business metrics", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Data Product Management, Data Strategy, Analytics, Product Thinking", "majorSkillsList" : [ "Data Product Management", "Data Strategy", "Analytics", "Product Thinking" ], "coreResponsibilities" : "Own design of data products, Own discovery of data products, Own operationalization of data products, Translate business needs into data assets, Ensure data product quality, Ensure data product usability, Ensure data product adoption, Partner with Data Engineering, Partner with Data Operations, Partner with business stakeholders, Define data models, Standardize metrics, Maintain documentation, Translate business problems into use cases, Translate business problems into data solutions, Define metric definitions, Standardize semantic layers, Establish business logic, Establish calculation rules, Establish hierarchies, Design scalable datasets, Build scalable datasets, Optimize scalable datasets, Consolidate data, Refresh data, Make data accessible, Manage operational lifecycle, Manage updates, Manage issue resolution, Manage performance tracking, Drive adoption of datasets, Create documentation, Create examples, Create enablement materials", "teamCollaboration" : "Cross-functional teams; Data Engineering; Data Operations; Business stakeholders", "projectManagementSkills" : [ "Agile environments" ], "domainKnowledge" : "Enterprise SaaS; Go-To-Market processes; Quote-to-Cash processes; Data governance; Business metrics; ARR; Churn; NRR; LTV:CAC", "domainList" : [ "enterprise-saas", "go-to-market-processes", "quote-to-cash-processes", "data-governance", "business-metrics", "arr", "churn", "nrr", "ltv-cac" ], "domainSpecificKnowledge" : [ "Enterprise SaaS", "Go-To-Market processes", "Quote-to-Cash processes", "Data governance", "Business metrics", "ARR", "Churn", "NRR", "LTV:CAC" ], "toolProficiency" : [ "Confluence", "Databricks", "Snowflake", "Dbt", "Tableau", "Looker", "Salesforce", "NetSuite", "Jira" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Documentation creation; Documentation maintenance", "problemSolvingSkills" : "Analytical; Problem-solving; Data-driven mindset", "qualificationsBasic" : "Experience as Data Product Manager, Experience as Data Strategist, Experience in product-oriented, data-focused environment, Understanding of data ecosystems, Understanding of data warehousing, Understanding of data modeling, Understanding of analytics workflows, Experience with cross-functional teams, Experience with Data Engineering, Experience with business stakeholders, Experience translating business problems, Experience creating documentation, Experience maintaining documentation, Analytical skills, Problem-solving skills, Experience driving product adoption, Experience measuring impact", "qualificationsPreferred" : "Experience in enterprise SaaS environments, Knowledge of Go-To-Market processes, Knowledge of Quote-to-Cash processes, Familiarity with Databricks, Familiarity with Snowflake, Familiarity with dbt, Familiarity with Tableau, Familiarity with Looker, Experience with AI-powered analytics tools, Exposure to data governance, Exposure to data catalog tools, Technical background in SQL, Technical background in analytics engineering, Familiarity with Salesforce, Familiarity with NetSuite, Familiarity with GTM systems, Familiarity with Finance systems, Experience in Agile environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Job Title: Data Product Manager Location: Canada (Remote, East Coast) The Enterprise Data and Analytics (ED&A) team is responsible for unlocking the value in Chainalysis’ corporate data. We work with internal stakeholders in GTM, Operations and Finance. Our goal is to accelerate Chainalysis’ growth and empower our employees to do their best work. We are looking for a Data Product Manager to support the Data Products team by owning the design, discovery, and operationalization of data products. This role will be responsible for translating business needs into scalable, well-defined data assets and ensuring their ongoing quality, usability, and adoption. The ideal candidate will partner closely with Data Engineering, Data Operations, and business stakeholders to define data models, standardize metrics, and maintain high-quality documentation, ensuring enterprise data products are reliable, consistent, and usable. They will bring experience at the intersection of data, analytics, and product thinking, and are comfortable translating ambiguous stakeholder needs into structured, scalable data solutions while maintaining strong operational rigor. In this role, you’ll: - Partner with stakeholders to translate business problems into clear data product use cases and scalable data solutions - Define and standardize metric definitions and semantic layers by establishing clear business logic, calculation rules, and hierarchies to ensure consistency, accuracy, and alignment across reporting - Collaborate with Data Engineering to design, build, and optimize scalable, reusable datasets that consolidate, refresh, and make data easily accessible to stakeholders - Manage the operational lifecycle of data products, including updates, issue resolution, and performance tracking - Drive adoption of standardized datasets by creating clear documentation, examples, and enablement materials We’re looking for candidates who have: - Experience working as Data Product Manager, Data Strategist, or in a product-oriented, data-focused environment - Strong understanding of data ecosystems, including data warehousing, modeling, and analytics workflows - Experience working with cross-functional teams including Data Engineering and business stakeholders - Experience translating complex business problems into clear product requirements and scalable data solutions - Strong understanding business metrics (eg: ARR, Churn, NRR, LTV:CAC) and how they are used in decision making - Experience creating and maintaining documentation in tools like Confluence - Excellent stakeholder management and communication skills - Strong analytical and problem-solving skills with a data-driven mindset - Experience driving product adoption and measuring impact Nice to have experience: - Experience in enterprise SaaS environments with knowledge of Go-To-Market and Quote-to-Cash processes - Familiarity with tools such as Databricks, Snowflake, dbt, Tableau or Looker - Experience working with AI-powered analytics tools (e.g., Databricks Genie or similar) - Exposure to data governance, or data catalog tools - Technical background in SQL or analytics engineering - Familiarity with Salesforce, NetSuite, or other GTM/Finance systems - Experience working in Agile environments using tools like Jira Systems/Tools we use: - Marketo - Salesforce - NetSuite - Adaptive Insights - Pendo - Fivetran - Dagster - AWS Redshift - Databricks & Databricks Genie - Git / Github Enterprise - SQL - dbt - Python - Tableau - DataGrip - Jira - Confluence About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you. ", "summaryDescription" : "Data Product Manager at Chainalysis. Skills: Data Product Management, Data Strategy, Analytics, Product Thinking. Own design of data products. Own discovery of data products", "createdAt" : "2026-06-16T01:59:53.009", "lastUpdated" : "2026-06-16T10:45:00.669", "ingestTimestamp" : "2026-06-16T01:59:53.009", "mongoId" : "6a307ecdf292fd229c0528ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data warehousing", "Data modeling", "Analytics workflows", "Business metrics", "SQL optimization", "Communication skills", "Data Product Management", "Data Strategy", "Analytics", "Product Thinking", "Product strategy", "Roadmap development", "User story creation", "Metric definition", "Semantic layer establishment", "Business logic", "Stakeholder management", "Problem analysis", "Agile environments", "Enterprise SaaS", "Go-To-Market processes", "Quote-to-Cash processes", "Data governance", "ARR", "Churn", "NRR", "LTV:CAC", "Confluence", "Databricks", "Snowflake", "Dbt", "Tableau", "Looker", "Salesforce", "NetSuite", "Jira" ], "skillCount" : 36, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb0a074d8ee00a09da8cd", "title" : "Data Analyst, Product (Banking and Payments)", "company" : "Float", "industry" : "Engineering", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Toronto, Canada, adjusted for the FinTech industry." }, "location" : "Toronto, Canada", "locations" : [ "Toronto, Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T09:59:32.239", "fingerprint" : "65c7c3cf1af669b1473ccf3c86e34b76d1974972fe922fa8e068937d0c9e71da", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/float/097f849c-765d-4cac-acf7-898cfa66c20d/application", "externalId" : "097f849c-765d-4cac-acf7-898cfa66c20d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Dbt, Snowflake, BigQuery, Redshift, Databricks, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Product analytics", "Measurement frameworks", "Experiment design", "Data quality audit", "Cohort analysis", "Retention analysis", "Statistical rigor", "Business context" ], "hardSkillsList" : [ "Statistical analysis", "A/B testing", "Causal inference", "Regression analysis", "Classification", "Clustering", "Time-series analysis", "Data modelling", "SQL optimization", "Data pipeline debugging" ], "softSkillsList" : [ "Learning velocity", "Character" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Data pipeline debugging", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Learning velocity" }, { "name" : "Character" } ], "majorSkills" : "Product analytics, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Product analytics", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Define measurement requirements, Support instrumentation for measurement, Design measurement frameworks, Align on measurement frameworks, Design A/B tests, Size experiments for power, Interpret experiment results, Own metrics and dashboards, Ensure dbt model accuracy, Own data quality, Audit dbt models, Write analytics engineering briefs, Flag data gaps, Run cohort analysis, Run retention analysis, Diagnose metric drivers, Debug ambiguous numbers, Write expert SQL, Apply statistical rigor, Construct cohorts, Calculate retention, Apply confidence intervals, Perform significance testing, Use AI for analysis, Write SQL with LLMs, Draft frameworks with LLMs, Structure analysis with LLMs", "teamCollaboration" : "Embedded in product teams; Work with engineering; Collaborate with product; Work with design; Collaborate with product marketing; Hold ground respectfully", "projectManagementSkills" : [ "Roadmap decisions" ], "domainKnowledge" : "Banking infrastructure; Payments; Fintech; Attach rate; Payment rails; KYC; AP workflows; Pre-authorized payments; Balance/deposit metrics; Churn dynamics", "domainList" : [ "banking-infrastructure", "payments", "fintech", "attach-rate", "payment-rails", "kyc", "ap-workflows", "pre-authorized-payments", "balance-deposit-metrics", "churn-dynamics" ], "domainSpecificKnowledge" : [ "Banking infrastructure", "Payments", "Fintech", "Attach rate", "Payment rails", "KYC", "AP workflows", "Pre-authorized payments", "Balance/deposit metrics", "Churn dynamics" ], "toolProficiency" : [ "Metabase", "Looker", "Tableau", "Sigma", "Snowflake", "Dbt Cloud" ], "communicationSkills" : "Translate roadmap decisions; Present findings; Respectful disagreement", "problemSolvingSkills" : "Debug ambiguous numbers; Root cause analysis", "qualificationsBasic" : "2-4+ years product analytics, SQL proficiency, Dbt-comfortable, Metabase, Looker, Tableau, Sigma experience", "qualificationsPreferred" : "PhD preferred, Fintech familiarity, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT FLOAT Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth. As one of Canada’s fastest growing companies https://www.theglobeandmail.com/business/rob-magazine/top-growing-companies/article-ranking-canadas-top-growing-companies-of-2024/ and top-rated startups in 2025 https://www.linkedin.com/posts/floatfinancial_were-proud-to-share-that-float-has-been-activity-7387093684720300032-2DDz/, 2024 https://www.linkedin.com/pulse/linkedin-top-startups-2024-15-canadian-companies-rise-linkedin-news-llihe/ and 2023 https://lnkd.in/TSU23CA, Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and Wealthsimple. At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success. OUR PRODUCT Float is Canada's complete business finance platform, combining modern financial services and software to help businesses spend, save, and grow. Trusted by 6000+ Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts and fast, friendly support—all built in Canada, for Canada. Float is backed by world-class venture and fintech investors, including Growth Equity at Goldman Sachs Alternatives and OMERS Ventures, partners behind our $70 million Series B raise https://floatfinancial.com/we-raised-70-million-to-fix-canadas-business-banking-problem/. Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada. AI USE IN OUR HIRING PROCESS We use technology, including artificial intelligence (AI), to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications, and AI-generated interview notes, guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team. ABOUT THE ROLE Float is building the financial operating system for Canadian businesses — corporate cards, business bank accounts, bill payments, all in one place. Reporting to the Head of Data, this role is embedded inside the product teams behind two of those core pillars: banking infrastructure and payments. Both are high-complexity, high-stakes areas that generate a dense mix of financial, behavioral, and operational data. This role owns that data layer. You're building cohorts before anyone asks, designing measurement frameworks before features go to engineering, and debugging numbers to the source — pipeline issue, definition mismatch, or real product signal. You're also someone who uses AI to move faster without losing rigour. Getting useful outputs from a model means knowing the business and data well enough to give it the right context — that's part of the job too. WHAT YOU'LL BE DOING - Define what needs to be measured before features ship and support the instrumentation to measure it. You translate roadmap decisions into measurement requirements. - Design and get broad alignment on measurement frameworks before features go to engineering — hypothesis, cohorts, success criteria. - Design and analyze experiments - structure A/B tests for product changes. Define the hypothesis, select the right unit of randomization, size the experiment for sufficient power and interpret results with statistical rigour - Own the metrics and dashboards for Banking and Payments. Every number is traceable to a reliable dbt model. You keep them accurate. - Own data quality in your product area — audit dbt models, write clear briefs for analytics engineering, flag gaps before they become problems. - Run cohort and retention analysis natively — activation sequences, behavioral funnels, leading vs. lagging indicators. Diagnose which lever moves the number, not just what happened. - Debug ambiguous numbers to the source — pipeline issue, definition mismatch, or real product signal. You close the loop. - Write expert SQL and bring statistical rigour — cohort construction, retention calculations, confidence intervals, significance testing. You know when you have enough signal to act. - Use AI as a multiplier — accelerate analysis, generate first-pass SQL, and pressure-test hypotheses faster than you could alone. You know how to give a model the business and data context that makes its outputs impactful. - Take your share of ad-hoc requests on rotation — owning your product area gives the broader data team meaningful breathing room. WHAT SUCCESS LOOKS LIKE - Get Embedded: Both team leads treat you as the owner of their data layer. KPI definitions are agreed upon, documented, and tied to reliable dbt models. Gaps are flagged with a fix in motion. - Build the Measurement Layer: Features ship with measurement frameworks designed upfront. Dashboards for the core banking and payments metrics are clean, trusted, and traceable. - Drive Product Evidence: Product decisions are shaped by your analysis before they are made. When a team lead is asked by leadership whether a feature is landing, they already know — because you’ve built the infrastructure that makes the question answerable. WHAT WE'RE LOOKING FOR - Product analytics depth — you've been embedded in a product team, own activation funnels and cohort retention natively, and know how to instrument a feature before it ships. - Experimentation and measurement design — you design A/B tests and quasi-experiments from the ground up: hypothesis, randomization unit, sample size and power calculations, guardrail metrics, and holdout design. You build pre/post and diff-in-diff analyses where randomization isn't feasible, and you know how to communicate the difference in confidence between the two - Data layer ownership — you're the DRI for data quality in your product area: auditing dbt models, writing briefs for analytics engineering, and debugging ambiguous numbers to the source. - Expert-level SQL — you build complex multi-step queries across large behavioral datasets, optimize for performance, and explain the logic to non-technical stakeholders. - Statistical reasoning — you understand distributions, confidence intervals, significance testing, and sample size constraints. You design for confounders, know when you have enough signal, and communicate uncertainty in plain language. - Data modeling literacy — you translate business logic into data requirements, specify the grain a table needs, and have informed opinions on how metrics get structured in dbt. - Comfort with imperfect data — you make a reasoned call, state your confidence level, and give stakeholders something actionable rather than waiting for clean infrastructure. - Stakeholder fluency — you work effectively across Product, Design, Engineering, and Product Marketing, and hold your ground respectfully when data contradicts what the team wants to believe. - AI as an accelerator — you've used LLMs to write SQL, draft frameworks, or structure analysis, and you know where they're reliable and where they need guardrails. - 2–4+ years in product analytics, ideally embedded in a product team at a high-growth fintech or SaaS company. - BI tool experience — Metabase, Looker, Tableau, Sigma, or similar. - dbt-comfortable (reading models, understanding lineage) with Snowflake or a comparable cloud warehouse. - Fintech familiarity — attach rate, payment rails, KYC, AP workflows, pre-authorized payments, balance/deposit metrics, churn dynamics — is a meaningful differentiator. OUR HIRING PHILOSOPHY We hire for character, curiosity, and learning velocity before credentials. Titles matter less than impact, and every hire is expected to raise the bar for Float as a whole. WHY YOU SHOULD JOIN - Work at one of Canada's fastest-growing fintech companies - Make a real impact in a high-autonomy, high-growth role - Collaborate with an ambitious and supportive team - Competitive compensation, equity options, and benefits - Hybrid work model – we are based in Toronto with in-office days for connection and collaboration - Enjoy catered team lunches every Tuesday, Wednesday and Thursday - Bring your pup to our dog-friendly office - Thrive in a high-trust, high-performance culture where your work truly matters IN SHORT At Float, you’ll thrive if you’re bold, curious, and eager to make a real impact. We're building something special—and having a lot of fun along the way. If you’re excited to build, grow, and win together, we’d love to meet you. We’re committed to building a workplace that’s welcoming and accessible for everyone. If you need any accommodations during the hiring process or once you join Float, just let us know! You can reach out to Vic https://www.linkedin.com/in/victoria-boult-b21b2053/ (victoria@floatfinancial.com), and we’ll work with you to make sure you have what you need to succeed.", "summaryDescription" : "Data Analyst, Product (Banking and Payments) at Float. Skills: Product analytics, Data engineering, Machine learning, Business intelligence. Define measurement requirements. Support instrumentation for measurement", "createdAt" : "2026-06-14T09:18:34.682", "lastUpdated" : "2026-06-15T09:59:32.239", "ingestTimestamp" : "2026-06-14T09:18:34.682", "mongoId" : "6a2cb0a074d8ee00a09da8cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "A/B testing", "Causal inference", "Regression analysis", "Classification", "Clustering", "Time-series analysis", "Data modelling", "SQL optimization", "Data pipeline debugging", "Learning velocity", "Character", "Product analytics", "Data engineering", "Machine learning", "Business intelligence", "Measurement frameworks", "Experiment design", "Data quality audit", "Cohort analysis", "Retention analysis", "Statistical rigor", "Business context", "Roadmap decisions", "Banking infrastructure", "Payments", "Fintech", "Attach rate", "Payment rails", "KYC", "AP workflows", "Pre-authorized payments", "Balance/deposit metrics", "Churn dynamics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Metabase", "Looker", "Tableau", "Sigma", "Snowflake", "Dbt Cloud" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca5ee74d8ee00a09b8b28", "title" : "Lead Portfolio Manager - Option Strategies", "company" : "NorthCoast Asset Management", "industry" : "Banking", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Portfolio Manager in Stamford, United States, with adjustments for the Financial Services industry and lead seniority." }, "location" : "Stamford, Connecticut, United States", "locations" : [ "Stamford", "Connecticut", "United States" ], "timestamp" : "2026-06-15T10:43:27.871", "fingerprint" : "dcd5c4e4e709c0cbd79d7e5dccfcbd51f259b9742b9be617f59276375730f37e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nc/jobs/5996235004", "externalId" : "5996235004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Stamford", "state" : "Connecticut", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0534302,-73.5387341" } ], "locationText" : "Stamford, Connecticut, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, Visual Basic, Excel", "professionalSkills" : [ "Trade execution", "Portfolio management", "Risk management", "Quantitative modeling", "TCA analysis", "Performance reporting" ], "hardSkillsList" : [ "Option strategies", "Trade execution", "Data analysis", "Automation development" ], "softSkillsList" : [ "High energy", "Proactive communication", "Follow-up" ], "hardSkills" : [ { "name" : "Option strategies", "level" : "intermediate" }, { "name" : "Trade execution", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Automation development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High energy" }, { "name" : "Proactive communication" }, { "name" : "Follow-up" } ], "majorSkills" : "Option strategies, Trade execution, Python development", "majorSkillsList" : [ "Option strategies", "Trade execution", "Python development" ], "coreResponsibilities" : "Build trades, Execute trades, Allocate trades, Research trade breaks, Resolve trade breaks, Review client restrictions, Maintain trade data, Compile performance results, Develop automation processes, Cross train operations, Reconcile portfolio data, Resolve cash inquiries, Resolve failing transactions", "teamCollaboration" : "Operations team; Trading team; Executing brokers; Custodians; Counterparties", "domainKnowledge" : "Equity strategies; Income strategies; Option strategies; Financial instruments; Risk controls; Macroeconomic analysis; Quantitative modeling", "domainList" : [ "equity-strategies", "income-strategies", "option-strategies", "financial-instruments", "risk-controls", "macroeconomic-analysis", "quantitative-modeling" ], "domainSpecificKnowledge" : [ "Equity strategies", "Income strategies", "Option strategies", "Financial instruments", "Risk controls", "Macroeconomic analysis", "Quantitative modeling" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Microsoft Excel" ], "communicationSkills" : "Follow-up", "problemSolvingSkills" : "Troubleshooting trade breaks; Resolving cash inquiries; Resolving failing transactions", "qualificationsBasic" : "Bachelor's degree, 200+ lines of code in Python, Microsoft products knowledge, Excel proficiency, SS&C Technologies GWP knowledge", "qualificationsPreferred" : "Visual Basic knowledge a plus, Python knowledge a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NorthCoast Asset Management is a data-driven investment firm specializing in dynamic, risk-managed equity and income strategies for high-net-worth investors and financial advisors. With more than two decades of applied research and market experience, the firm combines macroeconomic analysis, quantitative modeling, and disciplined risk controls to actively navigate evolving market environments. The firm is headquartered in Stamford, Connecticut and operates as a part of the Focus Financial network. Position Summary NorthCoast Asset Management is looking for a Lead Portfolio Manager - Option Strategies to join our team in our Stamford, CT office in a trade execution role. Responsibilities include building, executing and allocating trades across 7,000+ client accounts, researching and resolving trade and position breaks with executing brokers, reviewing client specific restrictions, maintaining trade execution data for TCA analysis and compiling and maintaining all performance results for composites. In addition, the candidate will be required to maintain and develop automation processes for the operations and trading teams using Visual Basic and/or Python. The candidate will also cross train with the operations group where he/she will reconcile client’s portfolio data, research and resolve any cash related inquiries and resolve failing transactions with custodians and counterparties. This position requires a presence in the Stamford office five days a week. Primary Responsibilities Building, executing and allocating trades across 7,000+ client accounts Researching and resolving trade and position breaks with executing brokers Reviewing client specific restrictions Maintaining trade execution data for TCA analysis and compiling and maintaining all performance results for composites. Maintain and develop automation processes for the operations and trading teams using Visual Basic and/or Python. Qualifications. Bachelor’s degree. Ability to handwrite 200+ lines of code in Python A positive attitude and high energy level High attention to detail Ability to multitask in a fast-paced and sometimes stressful environment intermediary + knowledge of Microsoft products especially Excel Proactive communication and follow-up Knowledge of SS&C Technologies GWP, visual Basic and Python is a plus, but we are willing to train. The Lead Portfolio Manager is an exempt position. The annualized base pay range for this role is expected to be between $115,000 - $120,000/year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package. #LI-KP1 For Indiana Applicants: It is unlawful for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For Maryland Applicants: I UNDERSTAND THAT UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT OR CONTINUED EMPLOYMENT, THAT ANY INDIVIDUAL SUBMIT TO OR TAKE A POLYGRAP OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100. For California Applicants: Information on your California privacy rights can be found here For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this shall be subject to criminal penalties and civil liability. For Montana Applicants: If hired, the employment relationship is governed by the Wrongful Discharge from Employment Act. Mont. Code Ann. Section 39-2-901. For Rhode Island Applicants: Focus is subject to Chapters 29-38 of Title 28 of the General Laws of Rhode Island and is therefore covered by the state’s workers’ compensation law. If you willfully provide false information about your ability to perform the essential functions of the job, with or without reasonable accommodations, you may be barred from filing a claim under the provisions of the Workers’ Compensation Act of the State of Rhode Island if the false information is directly related to the personal injury that is the basis for the new claim for compensation. The Company complies fully with the Americans with Disabilities Act.", "summaryDescription" : "Lead Portfolio Manager - Option Strategies at NorthCoast Asset Management. Skills: Option strategies, Trade execution, Python development. Build trades. Execute trades", "postedDate" : "2026-06-13T21:23:55.518", "createdAt" : "2026-06-13T21:23:55.518", "lastUpdated" : "2026-06-15T10:43:27.871", "ingestTimestamp" : "2026-06-13T21:23:55.518", "mongoId" : "6a2ca5ee74d8ee00a09b8b28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Option strategies", "Trade execution", "Data analysis", "Automation development", "High energy", "Proactive communication", "Follow-up", "Python development", "Portfolio management", "Risk management", "Quantitative modeling", "TCA analysis", "Performance reporting", "Equity strategies", "Income strategies", "Financial instruments", "Risk controls", "Macroeconomic analysis", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Microsoft Excel" ], "skillCount" : 22, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c91c274d8ee00a09840b1", "title" : "Lifecycle Manager", "company" : "CompuNet, Inc.", "industry" : "Consulting", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Lifecycle Manager in Meridian, United States, adjusted for the technology industry and company size." }, "location" : "Meridian, Idaho, United States", "locations" : [ "Meridian", "Idaho", "United States" ], "timestamp" : "2026-06-15T04:54:09.949", "fingerprint" : "5bab1896221788214906f280023b4e9e2d1fef6236c780242fe7fb2d7ee133da", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/compunetinc/jobs/5234788008", "externalId" : "5234788008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Meridian", "state" : "Idaho", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6086295,-116.3923260" } ], "locationText" : "Meridian, Idaho, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Manager", "technicalSkills" : "Microsoft Excel", "professionalSkills" : [ "Contract management", "Strategic insights", "Actionable recommendations", "Cost-saving opportunities" ], "hardSkillsList" : [ "License management", "Support renewal management", "Data analysis" ], "hardSkills" : [ { "name" : "License management", "level" : "intermediate" }, { "name" : "Support renewal management", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Expansion opportunities, Contract management", "majorSkillsList" : [ "Expansion opportunities", "Contract management" ], "coreResponsibilities" : "Manage licensing and support renewals, Identify and drive expansion opportunities, Provide support to sales and engineering teams, Ensure customer software and support requirements are met, Manage and optimize Enterprise Agreements, Collaborate with sales and engineering teams, Safeguard customer base, Identify growth opportunities, Ensure customer compliance with EA contract terms, Manage customer license and support usage, Avoid unnecessary costs for customers, Consult on strategic buying timelines, Maximize benefits of Enterprise Agreements, Present insights to customer stakeholders, Analyze customer usage and trends, Uncover cost-saving opportunities, Provide data-driven recommendations, Drive lifecycle advantage initiatives, Encourage customer adoption, Facilitate onboarding process for customers", "teamCollaboration" : "Collaborate across cross-functional teams; Collaborate with sales and engineering teams", "domainKnowledge" : "Buying programs of manufacturers; Enterprise Agreements (EA)", "domainList" : [ "buying-programs-of-manufacturers", "enterprise-agreements-ea" ], "domainSpecificKnowledge" : [ "Buying programs of manufacturers", "Enterprise Agreements (EA)" ], "communicationSkills" : "Present meaningful insights", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "10+ years experience selling or supporting complex licensing and services, Microsoft Excel skills, Build and maintain complex spreadsheets, Create pivot tables, Use advanced formulas, Analyze large datasets", "qualificationsPreferred" : "Bachelor's degree or equivalent experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Why join CompuNet? CompuNet values its people more than any other asset—and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer. We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more. What You’ll do CompuNet is seeking a Lifecycle Manager to provide support and satisfaction to our existing and future customer base. This role is responsible for managing licensing and support renewals, identifying and driving expansion opportunities, and providing support to sales and engineering teams to ensure customer software and support requirements are effectively met. Who you are A strong team player with a proven ability to collaborate across cross-functional teams, delivering exceptional results. You have a deep understanding of buying programs of several manufacturers (i. e. Cisco, Palo Alto, Dell, HPE) across all product portfolios, enabling you to provide strategic insights and guidance to internal teams and customers. With strong analytical skills, you excel at identifying actionable recommendations for sales and engineering teams, ensuring our customers receive optimal solutions tailored to their needs. You bring extensive experience in contract management, successfully navigating the complexities of diverse customer accounts ranging from Enterprise-level organizations to SMBs. You are detail-oriented, customer-focused, and thrive in dynamic, fast-paced environments. Additionally, you possess excellent communication, strong analytical and problem-solving skills, allowing you to build trust and drive success for both internal stakeholders and external customers. Key responsibilities include: Managing and optimizing Enterprise Agreements (EA) across key customer accounts Collaborate strategically with sales and engineering teams to safeguard the customer base and identify growth opportunities. Ensure customer compliance with EA contract terms, including adherence to usage limits and licensing requirements. Management of customer license and support usage to avoid unnecessary costs for customers. Consult with internal and external stakeholders on strategic buying timelines to maximize the benefits of Enterprise Agreements. Present meaningful insights to key customer stakeholders at all levels of an organization. Analyze customer usage and trends to uncover cost-saving opportunities within the EA framework and provide data-driven recommendations. Drive lifecycle advantage initiatives to encourage customer adoption which aligns to CompuNet's lifecycle efforts and partner programs. Facilitate the onboarding process for customers entering buying programs. Qualifications Bachelor’s degree or equivalent experience 10+ years of experience selling or supporting complex licensing and services with proven track record of success. Strong Microsoft Excel skills, including the ability to build and maintain complex spreadsheets, create pivot tables, use advanced formulas, and analyze large datasets to support business decisions. Who we are CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.", "summaryDescription" : "Lifecycle Manager at CompuNet, Inc.. Skills: Expansion opportunities, Contract management. Manage licensing and support renewals. Identify and drive expansion opportunities", "postedDate" : "2026-06-14T03:17:29.962", "createdAt" : "2026-06-14T03:17:29.962", "lastUpdated" : "2026-06-15T04:54:09.949", "ingestTimestamp" : "2026-06-14T03:17:29.962", "mongoId" : "6a2c91c274d8ee00a09840b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "License management", "Support renewal management", "Data analysis", "Expansion opportunities", "Contract management", "Strategic insights", "Actionable recommendations", "Cost-saving opportunities", "Buying programs of manufacturers", "Enterprise Agreements (EA)" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306078f292fd229cf8e693", "title" : "Product Data Specialist", "company" : "LG Electronics", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Data Specialist in Alpharetta, United States, adjusted for the technology industry and company size." }, "location" : "Alpharetta, GA", "locations" : [ "Alpharetta", "GA" ], "timestamp" : "2026-06-16T06:22:32.751", "fingerprint" : "b64073ed4d0c895c18ccc7928b0f1daf8d1a72f77123a0b3c48be94b6f8482fe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lgelectronics/jobs/5257778008", "externalId" : "5257778008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alpharetta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0755962,-84.2945964" } ], "locationText" : "Alpharetta, Georgia, United States", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "rawDescription" : "Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, \"Jeong-do Management,\" embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone. The Opportunity: Location will be in Alpharetta, GA Ensure consistency and accuracy of data across Product Information Management (PIM) and Digital Asset Management (DAM) systems. Support the RAG (Retrieval-Augmented Generation) database by ensuring documents are properly indexed, retrievable, and aligned with user queries. Manage and organize documents in the database, including submittals, owner manuals, engineering manuals, installation manuals, service manuals, and other relevant technical documents. Review new documents, classify them into appropriate categories, and ensure proper metadata and tagging for efficient retrieval. Maintain data quality by updating, correcting, or removing outdated or inaccurate content in the database. Monitor customer feedback and usage patterns to identify gaps or improvement areas in the database content. Collaborate with technical and support teams to validate document accuracy and relevance. Participate in periodic data quality audits and database optimization reviews. Document processes, changes, and best practices for ongoing database management and continuous improvement. Qualifications: Bachelor’s degree in a relevant field (e.g., Information Management, Engineering, Computer Science, or related discipline), or equivalent education and/or experience. Basic understanding of data management principles, including data accuracy, consistency, and organization. Familiarity with Product Information Management (PIM) or Digital Asset Management (DAM) systems (hands-on experience a plus, not required). Basic experience with databases or structured data, such as using Excel, Google Sheets, or simple database tools. Strong attention to detail and ability to follow detailed instructions. Effective written and verbal communication skills, with the ability to collaborate in a team environment. Proficiency in Microsoft Office (Word, PowerPoint, Excel, Outlook). Strong organizational skills and ability to manage multiple tasks in a fast-paced environment Recruiting Range $29—$29 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.", "summaryDescription" : "Product Data Specialist at LG Electronics", "postedDate" : "2026-06-15T23:25:25.892", "createdAt" : "2026-06-15T23:25:25.892", "lastUpdated" : "2026-06-16T06:22:32.751", "ingestTimestamp" : "2026-06-15T23:25:25.892", "mongoId" : "6a306078f292fd229cf8e693", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c9fae74d8ee00a09a04ce", "title" : "Step into the Hexa ecosystem", "company" : "Hexa", "industry" : "Hexa", "location" : "No Location", "locations" : [ "No Location" ], "timestamp" : "2026-06-16T02:17:11.193", "fingerprint" : "0e237cbdebdf64c78cf0edcecd0c4bc66bd32a384d24547744ba0ba6ab369a7c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hexa/b10a4d3a-1831-4634-bb47-8e818ce681d7/application", "externalId" : "b10a4d3a-1831-4634-bb47-8e818ce681d7", "industryFunction" : { }, "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "JOIN OUR NETWORK OF EXCEPTIONAL TALENT Be part of what's next at Hexa We want to know more about you! But before that, a bit of context about us. About Hexa Hexa started as eFounders in 2011 to rethink company creation: building alongside founders, not from the sidelines. We've built over 50 companies, including Aircall, Spendesk, Front, Swan, and Yousign, with a combined valuation of over $5 billion, and companies employing more than 2,600 talented people all around the world. Our hands-on model has proven successful. Now a leading multi-stage startup studio, we stay true to our DNA: founder-first and deeply involved, across AI, Future of Work, fintech, climate, defense and cybersecurity. Because when ambitious founders and teams come together, exceptional companies are born. To fulfill this incredible purpose, we're constantly looking for exceptional individuals. Whether you're planning on launching a top tier company or joining one, here's a simple and quick get-to-know-you form that will help us match you with the best opportunities from the Hexa family. Start a Company with us Partner with us for 12 months to build the foundations of a new category-defining company — and 10x your chances of success with our team as your co-founder. Join the Core Team The team that co-builds every startup we launch. You work across multiple ventures in parallel, embedded with founders from day one, across product, design, go-to-market, recruiting, finance, and legal. If you want to be at the heart of company creation, this is it. Join a Hexa venture early Every year, Hexa co-founds around 12 new startups. Joining one in its first months means taking a founding employee role: you build the product, shape the culture, and own a real stake in the outcome, with the full support of Hexa's Core Team behind you. Join a Hexa portfolio company Some of our startups are further along. They're scaling, hiring, and looking for strong profiles to help them grow. If you want the energy of a startup with more structure and traction already in place, this is the path. Your turn! :))", "summaryDescription" : "Step into the Hexa ecosystem at Hexa", "createdAt" : "2026-06-14T19:12:21.099", "lastUpdated" : "2026-06-16T02:17:11.193", "ingestTimestamp" : "2026-06-14T19:12:21.099", "mongoId" : "6a2c9fae74d8ee00a09a04ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "infrastructure", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2ca07874d8ee00a09a24fe", "title" : "Data Analyst, Product (Banking and Payments)", "company" : "Float", "industry" : "Engineering", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Toronto, Canada, adjusted for the FinTech industry." }, "location" : "Toronto, Canada", "locations" : [ "Toronto, Canada" ], "timestamp" : "2026-06-15T09:15:39.904", "fingerprint" : "a1c316db28b7762fa9d4723afbf2a0ddca938382d0dc51344a8e9f8ed3acfe02", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Float/097f849c-765d-4cac-acf7-898cfa66c20d/application", "externalId" : "097f849c-765d-4cac-acf7-898cfa66c20d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Dbt, Snowflake, AI, LLMs", "professionalSkills" : [ "Product analytics", "Measurement frameworks", "Experiment design", "Data quality audit", "Cohort analysis", "Retention analysis", "Statistical rigor" ], "hardSkillsList" : [ "Statistical analysis", "A/B testing", "Hypothesis testing", "Confidence intervals", "Significance testing" ], "softSkillsList" : [ "Learning velocity" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Confidence intervals", "level" : "intermediate" }, { "name" : "Significance testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Learning velocity" } ], "majorSkills" : "Product analytics, Data quality, Experimentation", "majorSkillsList" : [ "Product analytics", "Data quality", "Experimentation" ], "coreResponsibilities" : "Define measurement needs, Support instrumentation, Translate roadmap decisions, Design measurement frameworks, Align on frameworks, Design experiments, Analyze experiments, Structure A/B tests, Select unit of randomization, Size experiments, Interpret results, Own metrics and dashboards, Keep metrics accurate, Own data quality, Audit dbt models, Write clear briefs, Flag data gaps, Run cohort analysis, Run retention analysis, Diagnose levers, Debug ambiguous numbers, Close the loop, Write expert SQL, Bring statistical rigor, Construct cohorts, Calculate retention, Use LLMs for SQL, Draft frameworks, Structure analysis", "teamCollaboration" : "Product teams; Engineering; Product Marketing; Head of Data", "projectManagementSkills" : [ "Roadmap decisions" ], "domainKnowledge" : "Banking infrastructure; Payments; Fintech; Attach rate; Payment rails; KYC; AP workflows; Pre-authorized payments; Balance/deposit metrics; Churn dynamics", "domainList" : [ "banking-infrastructure", "payments", "fintech", "attach-rate", "payment-rails", "kyc", "ap-workflows", "pre-authorized-payments", "balance-deposit-metrics", "churn-dynamics" ], "domainSpecificKnowledge" : [ "Banking infrastructure", "Payments", "Fintech", "Attach rate", "Payment rails", "KYC", "AP workflows", "Pre-authorized payments", "Balance/deposit metrics", "Churn dynamics" ], "toolProficiency" : [ "Metabase", "Looker", "Tableau", "Sigma" ], "communicationSkills" : "Hold ground respectfully", "problemSolvingSkills" : "Debug ambiguous numbers", "qualificationsBasic" : "2-4+ years product analytics, SQL proficiency, Dbt-comfortable, Snowflake or comparable warehouse", "qualificationsPreferred" : "PhD preferred, Fintech familiarity", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT FLOAT Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth. As one of Canada’s fastest growing companies https://www.theglobeandmail.com/business/rob-magazine/top-growing-companies/article-ranking-canadas-top-growing-companies-of-2024/ and top-rated startups in 2025 https://www.linkedin.com/posts/floatfinancial_were-proud-to-share-that-float-has-been-activity-7387093684720300032-2DDz/, 2024 https://www.linkedin.com/pulse/linkedin-top-startups-2024-15-canadian-companies-rise-linkedin-news-llihe/ and 2023 https://lnkd.in/TSU23CA, Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and Wealthsimple. At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success. OUR PRODUCT Float is Canada's complete business finance platform, combining modern financial services and software to help businesses spend, save, and grow. Trusted by 6000+ Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts and fast, friendly support—all built in Canada, for Canada. Float is backed by world-class venture and fintech investors, including Growth Equity at Goldman Sachs Alternatives and OMERS Ventures, partners behind our $70 million Series B raise https://floatfinancial.com/we-raised-70-million-to-fix-canadas-business-banking-problem/. Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada. AI USE IN OUR HIRING PROCESS We use technology, including artificial intelligence (AI), to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications, and AI-generated interview notes, guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team. ABOUT THE ROLE Float is building the financial operating system for Canadian businesses — corporate cards, business bank accounts, bill payments, all in one place. Reporting to the Head of Data, this role is embedded inside the product teams behind two of those core pillars: banking infrastructure and payments. Both are high-complexity, high-stakes areas that generate a dense mix of financial, behavioral, and operational data. This role owns that data layer. You're building cohorts before anyone asks, designing measurement frameworks before features go to engineering, and debugging numbers to the source — pipeline issue, definition mismatch, or real product signal. You're also someone who uses AI to move faster without losing rigour. Getting useful outputs from a model means knowing the business and data well enough to give it the right context — that's part of the job too. WHAT YOU'LL BE DOING - Define what needs to be measured before features ship and support the instrumentation to measure it. You translate roadmap decisions into measurement requirements. - Design and get broad alignment on measurement frameworks before features go to engineering — hypothesis, cohorts, success criteria. - Design and analyze experiments - structure A/B tests for product changes. Define the hypothesis, select the right unit of randomization, size the experiment for sufficient power and interpret results with statistical rigour - Own the metrics and dashboards for Banking and Payments. Every number is traceable to a reliable dbt model. You keep them accurate. - Own data quality in your product area — audit dbt models, write clear briefs for analytics engineering, flag gaps before they become problems. - Run cohort and retention analysis natively — activation sequences, behavioral funnels, leading vs. lagging indicators. Diagnose which lever moves the number, not just what happened. - Debug ambiguous numbers to the source — pipeline issue, definition mismatch, or real product signal. You close the loop. - Write expert SQL and bring statistical rigour — cohort construction, retention calculations, confidence intervals, significance testing. You know when you have enough signal to act. - Use AI as a multiplier — accelerate analysis, generate first-pass SQL, and pressure-test hypotheses faster than you could alone. You know how to give a model the business and data context that makes its outputs impactful. - Take your share of ad-hoc requests on rotation — owning your product area gives the broader data team meaningful breathing room. WHAT SUCCESS LOOKS LIKE - Get Embedded: Both team leads treat you as the owner of their data layer. KPI definitions are agreed upon, documented, and tied to reliable dbt models. Gaps are flagged with a fix in motion. - Build the Measurement Layer: Features ship with measurement frameworks designed upfront. Dashboards for the core banking and payments metrics are clean, trusted, and traceable. - Drive Product Evidence: Product decisions are shaped by your analysis before they are made. When a team lead is asked by leadership whether a feature is landing, they already know — because you’ve built the infrastructure that makes the question answerable. WHAT WE'RE LOOKING FOR - Product analytics depth — you've been embedded in a product team, own activation funnels and cohort retention natively, and know how to instrument a feature before it ships. - Experimentation and measurement design — you design A/B tests and quasi-experiments from the ground up: hypothesis, randomization unit, sample size and power calculations, guardrail metrics, and holdout design. You build pre/post and diff-in-diff analyses where randomization isn't feasible, and you know how to communicate the difference in confidence between the two - Data layer ownership — you're the DRI for data quality in your product area: auditing dbt models, writing briefs for analytics engineering, and debugging ambiguous numbers to the source. - Expert-level SQL — you build complex multi-step queries across large behavioral datasets, optimize for performance, and explain the logic to non-technical stakeholders. - Statistical reasoning — you understand distributions, confidence intervals, significance testing, and sample size constraints. You design for confounders, know when you have enough signal, and communicate uncertainty in plain language. - Data modeling literacy — you translate business logic into data requirements, specify the grain a table needs, and have informed opinions on how metrics get structured in dbt. - Comfort with imperfect data — you make a reasoned call, state your confidence level, and give stakeholders something actionable rather than waiting for clean infrastructure. - Stakeholder fluency — you work effectively across Product, Design, Engineering, and Product Marketing, and hold your ground respectfully when data contradicts what the team wants to believe. - AI as an accelerator — you've used LLMs to write SQL, draft frameworks, or structure analysis, and you know where they're reliable and where they need guardrails. - 2–4+ years in product analytics, ideally embedded in a product team at a high-growth fintech or SaaS company. - BI tool experience — Metabase, Looker, Tableau, Sigma, or similar. - dbt-comfortable (reading models, understanding lineage) with Snowflake or a comparable cloud warehouse. - Fintech familiarity — attach rate, payment rails, KYC, AP workflows, pre-authorized payments, balance/deposit metrics, churn dynamics — is a meaningful differentiator. OUR HIRING PHILOSOPHY We hire for character, curiosity, and learning velocity before credentials. Titles matter less than impact, and every hire is expected to raise the bar for Float as a whole. WHY YOU SHOULD JOIN - Work at one of Canada's fastest-growing fintech companies - Make a real impact in a high-autonomy, high-growth role - Collaborate with an ambitious and supportive team - Competitive compensation, equity options, and benefits - Hybrid work model – we are based in Toronto with in-office days for connection and collaboration - Enjoy catered team lunches every Tuesday, Wednesday and Thursday - Bring your pup to our dog-friendly office - Thrive in a high-trust, high-performance culture where your work truly matters IN SHORT At Float, you’ll thrive if you’re bold, curious, and eager to make a real impact. We're building something special—and having a lot of fun along the way. If you’re excited to build, grow, and win together, we’d love to meet you. We’re committed to building a workplace that’s welcoming and accessible for everyone. If you need any accommodations during the hiring process or once you join Float, just let us know! You can reach out to Vic https://www.linkedin.com/in/victoria-boult-b21b2053/ (victoria@floatfinancial.com), and we’ll work with you to make sure you have what you need to succeed.", "summaryDescription" : "Data Analyst, Product (Banking and Payments) at Float. Skills: Product analytics, Data quality, Experimentation. Define measurement needs. Support instrumentation", "createdAt" : "2026-06-14T04:38:39.979", "lastUpdated" : "2026-06-15T09:15:39.904", "ingestTimestamp" : "2026-06-14T04:38:39.979", "mongoId" : "6a2ca07874d8ee00a09a24fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "A/B testing", "Hypothesis testing", "Confidence intervals", "Significance testing", "Learning velocity", "Product analytics", "Data quality", "Experimentation", "Measurement frameworks", "Experiment design", "Data quality audit", "Cohort analysis", "Retention analysis", "Statistical rigor", "Roadmap decisions", "Banking infrastructure", "Payments", "Fintech", "Attach rate", "Payment rails", "KYC", "AP workflows", "Pre-authorized payments", "Balance/deposit metrics", "Churn dynamics", "Metabase", "Looker", "Tableau", "Sigma" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305118f292fd229cef984e", "title" : "Data Product Manager", "industry" : "Product", "salary" : { "min" : 60000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Product Manager in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:45:12.960", "fingerprint" : "ea267628c0ec7eeee9b11ec65941d7666cd65b54508d71c49e0c4c412009fdf3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f070c7a8-165b-4360-a357-5c84d8821834/apply", "externalId" : "f070c7a8-165b-4360-a357-5c84d8821834", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "AI, ML", "professionalSkills" : [ "Data modeling", "Data interpretation", "Business insights", "Data pipelines", "Data structures", "Data quality standards", "Metric definitions", "Lineage tracking", "Methodological guardrails", "Data validation", "Data testing", "Incident management", "Data-driven products" ], "hardSkillsList" : [ "Segmentation", "Cohort analysis", "Cross-dataset reasoning", "Alternative data", "Panel data", "Complex datasets" ], "hardSkills" : [ { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Cohort analysis", "level" : "intermediate" }, { "name" : "Cross-dataset reasoning", "level" : "intermediate" }, { "name" : "Alternative data", "level" : "intermediate" }, { "name" : "Panel data", "level" : "intermediate" }, { "name" : "Complex datasets", "level" : "intermediate" } ], "majorSkills" : "Data products, AI-ready data, Business insights, Data quality", "majorSkillsList" : [ "Data products", "AI-ready data", "Business insights", "Data quality" ], "coreResponsibilities" : "Own transformation of raw datasets, Define how data is modeled, Define how data is interpreted, Define how data is delivered, Design methodologies, Maintain methodologies, Translate complex datasets into insights, Partner with Data Engineering, Ensure robust pipelines, Ensure clear definitions, Ensure well-documented data structures, Define data quality standards, Define metric definitions, Define lineage tracking, Define methodological guardrails, Establish rules for data reasoning, Lead validation processes, Lead testing processes, Lead incident management processes, Collaborate with Product teams, Collaborate with Leadership teams, Identify new use cases, Improve capabilities, Translate customer needs into solutions", "teamCollaboration" : "Cross-functionally between technical teams; With product stakeholders; With business stakeholders; With Data Engineering; With Product teams; With Leadership teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Alternative data; Panel data; Complex datasets; AI/ML products; LLM-based systems", "domainList" : [ "alternative-data", "panel-data", "complex-datasets", "ai-ml-products", "llm-based-systems" ], "domainSpecificKnowledge" : [ "Alternative data", "Panel data", "Complex datasets", "AI/ML products", "LLM-based systems" ], "communicationSkills" : "Simplify complex data methodologies", "documentationSkills" : "Data documentation", "continuousLearning" : "Learning & development reimbursement", "innovationCreativity" : "Entrepreneurial mindset; Builder-oriented mindset", "problemSolvingSkills" : "Methodological nuance; Ambiguity", "outcomesObjectives" : "Ensure accuracy and consistency; Ensure reliability before deployment", "qualificationsBasic" : "3-6+ years of experience, SQL proficiency, Experience owning metric definitions, Experience owning data documentation, Experience owning data quality frameworks, Background working with alternative data, Background working with panel data, Proven ability to work cross-functionally", "qualificationsPreferred" : "Exposure to AI/ML products, Exposure to LLM-based systems, Exposure to evaluation frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the transformation of raw alternative datasets into structured, scalable, AI-ready data products, defining how data is modeled, interpreted, and delivered to end users. Design and maintain methodologies that translate complex datasets into reliable business insights, including segmentation, cohort analysis, and cross-dataset reasoning. Partner with Data Engineering to ensure robust pipelines, clear definitions, and well-documented data structures that support product scalability. Define and enforce data quality standards, metric definitions, lineage tracking, and methodological guardrails to ensure accuracy and consistency. Establish rules for how the product reasons across datasets, including edge cases, limitations, and acceptable inference boundaries for AI-generated insights. Lead validation, testing, and incident management processes for data changes, ensuring reliability before production deployment. Collaborate with Product and Leadership teams to identify new use cases, improve capabilities, and translate customer needs into scalable data solutions. Requirements: 3–6+ years of experience in data product management, analytics, data science, product analytics, or related data-centric roles. Strong SQL proficiency and solid understanding of data pipelines, schemas, and upstream/downstream dependencies. Experience owning metric definitions, data documentation, or data quality frameworks in production environments. Background working with alternative data, panel data, or similarly complex datasets with methodological nuance and ambiguity. Proven ability to work cross-functionally between technical data teams and product or business stakeholders. Strong communication skills with the ability to simplify complex data methodologies into clear, actionable guidance. Demonstrated ability to build and ship data-driven products or frameworks in fast-moving environments. Comfortable working in ambiguity with an entrepreneurial, builder-oriented mindset. Exposure to AI/ML products, LLM-based systems, or evaluation frameworks is a strong plus. Benefits: Competitive base salary with comprehensive benefits package. Fully remote-friendly role within the United States. Flexible work hours and generous vacation policy. 401(k) retirement plan with company match. Parental leave, wellness budget, and learning & development reimbursement. High-impact, growth-oriented environment where performance drives advancement. Opportunity to work on cutting-edge AI-driven data products shaping the future of analytics. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Data Product Manager. Skills: Data products, AI-ready data, Business insights, Data quality. Own transformation of raw datasets. Define how data is modeled", "postedDate" : "2026-06-15T07:54:15.500", "createdAt" : "2026-06-15T07:54:15.500", "lastUpdated" : "2026-06-16T12:45:12.960", "ingestTimestamp" : "2026-06-16T03:23:15.034", "mongoId" : "6a305118f292fd229cef984e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Segmentation", "Cohort analysis", "Cross-dataset reasoning", "Alternative data", "Panel data", "Complex datasets", "Data products", "AI-ready data", "Business insights", "Data quality", "Data modeling", "Data interpretation", "Data pipelines", "Data structures", "Data quality standards", "Metric definitions", "Lineage tracking", "Methodological guardrails", "Data validation", "Data testing", "Incident management", "Data-driven products", "Roadmap planning", "AI/ML products", "LLM-based systems" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305788f292fd229cf3ae0b", "title" : "Lifecycle Management SME", "company" : "AppDirect", "industry" : "SaaS", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Lifecycle Management SME in the SaaS industry in Bulgaria, adjusted for remote work and full-time employment." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T08:50:38.273", "fingerprint" : "971bee75bf2eca6db167f7c4c6122c2887f92917ca8a4638daa59948c4c2f5e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/appdirect/jobs/8592711002", "externalId" : "8592711002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "coreResponsibilities" : "Drive revenue growth, Manage sales pipeline, Develop client relationships, Close deals, Achieve sales targets", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About AppDirect Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About vCom, an AppDirect Subsidiary vCom is a cloud-based software and managed services company focused on helping enterprises simplify and better manage every phase of their IT lifecycle. Our growth, innovation, and strong customer relationships are driven by our incredible employees who thrive on delivering amazing outcomes for our customers and team members. vCom has been recognized as a \"Best Place to Work\" in the SF Bay Area for 15 consecutive years. About You You are a growth-oriented sales professional with a strong sense of accountability and a collaborative mindset. You bring a consultative approach to customer engagement, along with a solid understanding of technology and SaaS environments. You are skilled at connecting customer goals to meaningful business outcomes and can clearly articulate complex concepts to both technical and executive audiences. You listen carefully, ask thoughtful questions, and translate customer needs into compelling value propositions. You are self-motivated, resourceful, and proactive in building relationships and expanding partnerships. You thrive in dynamic environments and are energized by the opportunity to influence strategy, drive pipeline growth, and help customers solve complex business challenges. What you’ll do and how you’ll have an impact Drive revenue by identifying, qualifying, and advancing new business opportunities across the Traditional Partner Channel, the AppDirect Ecosystem, and direct referral sources; Build consultative relationships with prospective clients to uncover business requirements and recommend tailored solutions leveraging vCom services and the vManager platform; Demonstrate sales leadership throughout the full sales cycle, guiding stakeholders through complex challenges and helping move opportunities toward resolution; Develop expertise in vCom’s value proposition by completing vManager platform training and certification and serving as a trusted subject matter expert; Lead daily execution of sales POD activities, manage pipeline health, and maintain accurate forecasting and funnel performance visibility; Evaluate and apply effective sales methodologies and processes to support strategic business objectives and drive consistent performance. What we’re looking for 5+ Years of Channel Experience selling through partnership 5+ years of experience in technology or SaaS sales, with a proven track record of driving results and closing new business; Bachelor’s degree in a relevant field preferred; Ability to engage credibly with technical professionals, business stakeholders, and executive decision-makers; Strong organizational and time management skills, with experience managing complex, multi-stakeholder sales cycles; Excellent communication, presentation, and relationship-building skills; A proactive, team-oriented mindset with the ability to work effectively in a distributed environment; Authorization to work in the United States. Why join vCom Values-Driven Culture: We are committed to transparency, authenticity, and professional vulnerability; Flexible Work: Join a distributed team using advanced tools to stay connected and productive; Growth Opportunities: Build your career through customized career paths and professional development; Community Impact: Receive 8 hours of paid volunteer time annually to support community organizations; Wellness Support: Access competitive programs that support physical, mental, and financial well-being. At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice At AppDirect, AI tools may assist our recruitment team with administrative automations — always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy – all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com. #LI-Remote", "summaryDescription" : "Lifecycle Management SME at AppDirect. Drive revenue growth. 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AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About vCom, an AppDirect Subsidiary vCom is a cloud-based software and managed services company focused on helping enterprises simplify and better manage every phase of their IT lifecycle. Our growth, innovation, and strong customer relationships are driven by our incredible employees who thrive on delivering amazing outcomes for our customers and team members. vCom has been recognized as a \"Best Place to Work\" in the SF Bay Area for 15 consecutive years. About You You are a growth-oriented sales professional with a strong sense of accountability and a collaborative mindset. You bring a consultative approach to customer engagement, along with a solid understanding of technology and SaaS environments. You are skilled at connecting customer goals to meaningful business outcomes and can clearly articulate complex concepts to both technical and executive audiences. You listen carefully, ask thoughtful questions, and translate customer needs into compelling value propositions. You are self-motivated, resourceful, and proactive in building relationships and expanding partnerships. You thrive in dynamic environments and are energized by the opportunity to influence strategy, drive pipeline growth, and help customers solve complex business challenges. What you’ll do and how you’ll have an impact Drive revenue by identifying, qualifying, and advancing new business opportunities across the Traditional Partner Channel, the AppDirect Ecosystem, and direct referral sources; Build consultative relationships with prospective clients to uncover business requirements and recommend tailored solutions leveraging vCom services and the vManager platform; Demonstrate sales leadership throughout the full sales cycle, guiding stakeholders through complex challenges and helping move opportunities toward resolution; Develop expertise in vCom’s value proposition by completing vManager platform training and certification and serving as a trusted subject matter expert; Lead daily execution of sales POD activities, manage pipeline health, and maintain accurate forecasting and funnel performance visibility; Evaluate and apply effective sales methodologies and processes to support strategic business objectives and drive consistent performance. What we’re looking for 5+ Years of Channel Experience selling through partnership 5+ years of experience in technology or SaaS sales, with a proven track record of driving results and closing new business; Bachelor’s degree in a relevant field preferred; Ability to engage credibly with technical professionals, business stakeholders, and executive decision-makers; Strong organizational and time management skills, with experience managing complex, multi-stakeholder sales cycles; Excellent communication, presentation, and relationship-building skills; A proactive, team-oriented mindset with the ability to work effectively in a distributed environment; Authorization to work in the United States. Why join vCom Values-Driven Culture: We are committed to transparency, authenticity, and professional vulnerability; Flexible Work: Join a distributed team using advanced tools to stay connected and productive; Growth Opportunities: Build your career through customized career paths and professional development; Community Impact: Receive 8 hours of paid volunteer time annually to support community organizations; Wellness Support: Access competitive programs that support physical, mental, and financial well-being. At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice At AppDirect, AI tools may assist our recruitment team with administrative automations — always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy – all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com. #LI-Remote", "summaryDescription" : "Lifecycle Management SME at AppDirect. Drive revenue growth. 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AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About vCom, an AppDirect Subsidiary vCom is a cloud-based software and managed services company focused on helping enterprises simplify and better manage every phase of their IT lifecycle. Our growth, innovation, and strong customer relationships are driven by our incredible employees who thrive on delivering amazing outcomes for our customers and team members. vCom has been recognized as a \"Best Place to Work\" in the SF Bay Area for 15 consecutive years. About You You are a growth-oriented sales professional with a strong sense of accountability and a collaborative mindset. You bring a consultative approach to customer engagement, along with a solid understanding of technology and SaaS environments. You are skilled at connecting customer goals to meaningful business outcomes and can clearly articulate complex concepts to both technical and executive audiences. You listen carefully, ask thoughtful questions, and translate customer needs into compelling value propositions. You are self-motivated, resourceful, and proactive in building relationships and expanding partnerships. You thrive in dynamic environments and are energized by the opportunity to influence strategy, drive pipeline growth, and help customers solve complex business challenges. What you’ll do and how you’ll have an impact Drive revenue by identifying, qualifying, and advancing new business opportunities across the Traditional Partner Channel, the AppDirect Ecosystem, and direct referral sources; Build consultative relationships with prospective clients to uncover business requirements and recommend tailored solutions leveraging vCom services and the vManager platform; Demonstrate sales leadership throughout the full sales cycle, guiding stakeholders through complex challenges and helping move opportunities toward resolution; Develop expertise in vCom’s value proposition by completing vManager platform training and certification and serving as a trusted subject matter expert; Lead daily execution of sales POD activities, manage pipeline health, and maintain accurate forecasting and funnel performance visibility; Evaluate and apply effective sales methodologies and processes to support strategic business objectives and drive consistent performance. What we’re looking for 5+ Years of Channel Experience selling through partnership 5+ years of experience in technology or SaaS sales, with a proven track record of driving results and closing new business; Bachelor’s degree in a relevant field preferred; Ability to engage credibly with technical professionals, business stakeholders, and executive decision-makers; Strong organizational and time management skills, with experience managing complex, multi-stakeholder sales cycles; Excellent communication, presentation, and relationship-building skills; A proactive, team-oriented mindset with the ability to work effectively in a distributed environment; Authorization to work in the United States. Why join vCom Values-Driven Culture: We are committed to transparency, authenticity, and professional vulnerability; Flexible Work: Join a distributed team using advanced tools to stay connected and productive; Growth Opportunities: Build your career through customized career paths and professional development; Community Impact: Receive 8 hours of paid volunteer time annually to support community organizations; Wellness Support: Access competitive programs that support physical, mental, and financial well-being. At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice At AppDirect, AI tools may assist our recruitment team with administrative automations — always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy – all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com. #LI-Remote", "summaryDescription" : "Lifecycle Management SME at AppDirect. Drive revenue growth. 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AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About vCom, an AppDirect Subsidiary vCom is a cloud-based software and managed services company focused on helping enterprises simplify and better manage every phase of their IT lifecycle. Our growth, innovation, and strong customer relationships are driven by our incredible employees who thrive on delivering amazing outcomes for our customers and team members. vCom has been recognized as a \"Best Place to Work\" in the SF Bay Area for 15 consecutive years. About You You are a growth-oriented sales professional with a strong sense of accountability and a collaborative mindset. You bring a consultative approach to customer engagement, along with a solid understanding of technology and SaaS environments. You are skilled at connecting customer goals to meaningful business outcomes and can clearly articulate complex concepts to both technical and executive audiences. You listen carefully, ask thoughtful questions, and translate customer needs into compelling value propositions. You are self-motivated, resourceful, and proactive in building relationships and expanding partnerships. You thrive in dynamic environments and are energized by the opportunity to influence strategy, drive pipeline growth, and help customers solve complex business challenges. What you’ll do and how you’ll have an impact Drive revenue by identifying, qualifying, and advancing new business opportunities across the Traditional Partner Channel, the AppDirect Ecosystem, and direct referral sources; Build consultative relationships with prospective clients to uncover business requirements and recommend tailored solutions leveraging vCom services and the vManager platform; Demonstrate sales leadership throughout the full sales cycle, guiding stakeholders through complex challenges and helping move opportunities toward resolution; Develop expertise in vCom’s value proposition by completing vManager platform training and certification and serving as a trusted subject matter expert; Lead daily execution of sales POD activities, manage pipeline health, and maintain accurate forecasting and funnel performance visibility; Evaluate and apply effective sales methodologies and processes to support strategic business objectives and drive consistent performance. What we’re looking for 5+ Years of Channel Experience selling through partnership 5+ years of experience in technology or SaaS sales, with a proven track record of driving results and closing new business; Bachelor’s degree in a relevant field preferred; Ability to engage credibly with technical professionals, business stakeholders, and executive decision-makers; Strong organizational and time management skills, with experience managing complex, multi-stakeholder sales cycles; Excellent communication, presentation, and relationship-building skills; A proactive, team-oriented mindset with the ability to work effectively in a distributed environment; Authorization to work in the United States. Why join vCom Values-Driven Culture: We are committed to transparency, authenticity, and professional vulnerability; Flexible Work: Join a distributed team using advanced tools to stay connected and productive; Growth Opportunities: Build your career through customized career paths and professional development; Community Impact: Receive 8 hours of paid volunteer time annually to support community organizations; Wellness Support: Access competitive programs that support physical, mental, and financial well-being. At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice At AppDirect, AI tools may assist our recruitment team with administrative automations — always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy – all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com. #LI-Remote", "summaryDescription" : "Lifecycle Management SME at AppDirect. Drive revenue growth. Manage sales pipeline", "postedDate" : "2026-06-15T23:23:01.156", "createdAt" : "2026-06-15T23:23:01.156", "lastUpdated" : "2026-06-16T10:39:11.641", "ingestTimestamp" : "2026-06-15T23:23:01.156", "mongoId" : "6a306061f292fd229cf8bbc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25146374d8ee00a00bb7bb", "title" : "Product Marketing Manager, Alexa+ Lifecycle Marketing", "company" : "Amazon.com Services LLC", "industry" : "Marketing PR, Marketing, alexa and amazon devices", "salary" : { "min" : 109000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:05:32.765", "fingerprint" : "48b2a39f6479f195ae888e13152768bc980faca1c5a61344b3210e8664102171", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440181/apply", "externalId" : "d2669517-4653-48c7-9f0b-8a6263a78c4b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, Tableau", "professionalSkills" : [ "Lifecycle marketing", "Customer acquisition", "Campaign management", "Growth metrics", "Brand strategy", "Data-driven optimization", "Customer lifetime value", "Value propositions", "User growth", "Marketing effectiveness", "Customer segmentation", "Targeting initiatives", "Performance analytics", "Product marketing" ], "hardSkillsList" : [ "Data manipulation", "Macros", "Pivot tables" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Macros", "level" : "intermediate" }, { "name" : "Pivot tables", "level" : "intermediate" } ], "majorSkills" : "Lifecycle marketing, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Lifecycle marketing", "Customer acquisition", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Develop data-driven marketing strategies, Drive acquisition, activation, retention, Own end-to-end campaign delivery, Develop strategy and creative, Execute, measure, optimize campaigns, Lead customer segmentation initiatives, Lead targeting initiatives, Design A/B testing, Oversee experimentation, Deliver performance analytics, Provide recommendations to leadership, Translate data into insights, Balance competing priorities, Manage trade-offs, Deliver results, Work with GTM teams, Work with Advertising teams, Ensure integrated campaign effectiveness, Analyze customer cohort data, Identify targeting opportunities, Review creative assets, Present campaign results", "teamCollaboration" : "Cross-functional teams; Product teams; Business Intelligence teams; Creative teams; Peer marketing functions; GTM teams; Advertising teams", "domainKnowledge" : "AI assistants; AI; Alexa+", "domainList" : [ "ai-assistants", "ai", "alexa" ], "domainSpecificKnowledge" : [ "AI assistants", "AI", "Alexa+" ], "toolProficiency" : [ "Excel", "Tableau" ], "communicationSkills" : "Present campaign results", "problemSolvingSkills" : "Data-driven optimization; Data analysis; Data insights", "outcomesObjectives" : "Maximize customer lifetime value; Drive user growth", "qualificationsBasic" : "4+ years marketing experience, Use data and metrics, Excel or Tableau experience, Build, execute, scale programs, Manage marketing performance", "qualificationsPreferred" : "Present ideas to organization, Experience with AI/ML technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you ready to shape the future of AI assistants and revolutionize how people interact with an AI across the web, app and devices? The Alexa+ Lifecycle Marketing team is seeking a Product Marketing Manager (PMM) to drive acquisition, engagement and retention for one of the world's most beloved assistants. We're looking for a dynamic leader who can leverage strategic marketing, cross-functional collaboration, and data-driven optimization to propel Alexa+ adoption and maximize customer lifetime value. In this role, you'll bring compelling value propositions to life and design impactful campaigns that drive user growth across Amazon's owned marketing channels including email, Alexa App, Alexa.com and Amazon devices. You'll lead experimentation and A/B testing efforts to continually refine our marketing effectiveness, while collaborating closely with cross-functional teams to amplify our reach and impact. Join us in making Alexa+ an indispensable part of customers' lives. Key job responsibilities - Develop and execute data-driven marketing strategies across owned channels to drive acquisition, activation, and retention - Own end-to-end campaign delivery—from strategy and creative development to execution, measurement, and optimization - Lead customer segmentation and targeting initiatives that unlock new growth opportunities and improve conversion - Design and oversee A/B testing and experimentation to continually refine our marketing effectiveness - Deliver actionable performance analytics and recommendations to leadership, translating complex data into clear insights - Balance competing priorities and manage trade-offs to deliver results in a fast-paced environment - Work closely with GTM and Advertising teams to ensure integrated campaign effectiveness A day in the life Your average day will be dynamic and you'll collaborate with Product, Business Intelligence, Creative, and peer marketing functions to create content, develop marketing programs, run experiments, track performance and share insights. One moment you might be analyzing customer cohort data to identify new targeting opportunities, the next you'll be reviewing creative assets for an email campaign, and later presenting campaign results and recommendations to senior leadership. You'll be both a strategic thinker and a hands-on executor, comfortable diving deep into data while keeping the big picture in view. About the team This role sits within the Alexa+ Lifecycle Marketing team, a dynamic group that drives acquisition and lifecycle growth for Alexa+, collaborating closely with Product, GTM and Advertising to create seamless, high-impact customer experiences. We are a diverse and collaborative team united by our mission to make Alexa+ an indispensable part of customers' lives. Our team celebrates experimentation and moves fast to capitalize on growth opportunities. We believe in customer obsession, diving deep into metrics, and delivering results that matter. Basic Qualifications: - 4+ years of professional non-internship marketing experience - Experience using data and metrics to drive improvements - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) - Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion - Experience managing and measuring marketing performance in various channels Preferred Qualifications: - Experience presenting ideas to various levels of an organization to gain support for initiatives - Experience with AI/ML technologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 109,100.00 - 160,000.00 USD annually USA, WA, Seattle - 109,100.00 - 160,000.00 USD annually", "summaryDescription" : "Product Marketing Manager, Alexa+ Lifecycle Marketing at Amazon.com Services LLC. Skills: Lifecycle marketing, Customer acquisition, Campaign management, Growth metrics. Develop data-driven marketing strategies. Drive acquisition, activation, retention", "postedDate" : "2026-06-13T16:03:51.392", "createdAt" : "2026-06-13T16:03:51.392", "lastUpdated" : "2026-06-15T02:05:32.765", "ingestTimestamp" : "2026-06-13T16:03:51.392", "mongoId" : "6a25146374d8ee00a00bb7bb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440181/apply", "salaryAnnualMin" : 109000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data manipulation", "Macros", "Pivot tables", "Lifecycle marketing", "Customer acquisition", "Campaign management", "Growth metrics", "Brand strategy", "Data-driven optimization", "Customer lifetime value", "Value propositions", "User growth", "Marketing effectiveness", "Customer segmentation", "Targeting initiatives", "Performance analytics", "Product marketing", "AI assistants", "AI", "Alexa+", "Excel", "Tableau" ], "skillCount" : 22, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69e1043e2beec4dd3def229f", "title" : "Senior Product Lifecycle Mechanical Engineer, Data Center Mechanical Products & Services", "company" : "Amazon Data Services, Inc.", "industry" : "Design, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 136600.0, "max" : 184800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T02:22:53.702", "fingerprint" : "c37fdfcd228f9223c66162906877e95e6523af7f84f8d98af8560a71298b30ce", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387963/apply", "externalId" : "7543bbfd-3afc-4159-94e5-b9e6e7a30982", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Liquid cooling", "professionalSkills" : [ "Cooling product design", "Quality manufacturing practices", "Equipment specifications", "Piping systems", "Pumping systems", "Air handler systems", "Design change implications", "Failure mode analysis", "Root cause analysis", "Operating procedure review" ], "hardSkillsList" : [ "Mechanical engineering", "Manufacturing experience", "Cooling principles", "Piping systems", "Pumping systems", "Air handler systems" ], "softSkillsList" : [ "Engineering judgement", "Listen to customer" ], "hardSkills" : [ { "name" : "Mechanical engineering", "level" : "intermediate" }, { "name" : "Manufacturing experience", "level" : "intermediate" }, { "name" : "Cooling principles", "level" : "intermediate" }, { "name" : "Piping systems", "level" : "intermediate" }, { "name" : "Pumping systems", "level" : "intermediate" }, { "name" : "Air handler systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Engineering judgement" }, { "name" : "Listen to customer" } ], "majorSkills" : "Data center mechanical, Liquid cooling infrastructure, Product lifecycle engineering", "majorSkillsList" : [ "Data center mechanical", "Liquid cooling infrastructure", "Product lifecycle engineering" ], "coreResponsibilities" : "Support data centers' liquid cooling infrastructure, Understand products during development, Maintain engineering ownership, Serve as global engineering resource, Provide recommendations despite uncertainty, Review equipment submittals, Update equipment submittals, Approve equipment submittals, Work with suppliers, Work with manufacturers, Build trust with stakeholders, Work on concurrent projects, Explain complex systems, Support Operations, Perform failure mode analysis, Perform root cause analysis, Support maintenance, Support troubleshooting, Review operating procedures, Understand customer improvements, Increase product reliability, Increase product availability, Design product improvements, Oversee root cause analysis, Contribute to global knowledge, Drive continuous improvement", "teamCollaboration" : "Global engineering team; Product development teams; Global liquid cooling suppliers; Global manufacturers; Reliability teams; Operations teams; Design teams; Compliance teams", "projectManagementSkills" : [ "Concurrent projects" ], "domainKnowledge" : "Data center cooling; Liquid cooling products; Mission critical facilities; Cloud infrastructure", "domainList" : [ "data-center-cooling", "liquid-cooling-products", "mission-critical-facilities", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Data center cooling", "Liquid cooling products", "Mission critical facilities", "Cloud infrastructure" ], "communicationSkills" : "Explain complex systems", "documentationSkills" : "Equipment specifications; Operating procedure review", "continuousLearning" : "Continuous improvement", "innovationCreativity" : "Innovative projects", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "30% travel", "outcomesObjectives" : "Increase product reliability; Increase product availability", "qualificationsBasic" : "6+ years data center design experience, Bachelor's degree in Engineering, 6+ years industrial or commercial engineering experience, Knowledge of critical data center mechanical and electrical equipment, Experience in data center design, Experience in industrial or commercial engineering, Experience researching new designs", "qualificationsPreferred" : "Professional Engineering or Architectural License, Knowledge of building codes, Experience carrying design concepts through deployment, Experience reading construction drawings, Experience interpreting specifications, Experience creating submittal documents", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is seeking a mechanical engineer to be part of a global engineering team responsible for ownership and continuous improvement related to data center liquid cooling infrastructure products within our rapidly expanding data center footprint. We seek engineers with hands-on mechanical and manufacturing experience in liquid cooling products. Experience leading cooling product design, understanding cooling principles, and knowledge of quality manufacturing practices is essential. You should comprehend detailed equipment specifications, piping systems, pumping systems, air handler systems and evaluate design change implications. As a Global Amazon Product Lifecycle Engineer, you'll support AWS data centers' liquid cooling infrastructure. You'll work with product development teams to understand products during development and testing, maintaining engineering ownership throughout operational life. You'll serve as the global engineering resource for liquid cooling AWS infrastructure in data centers. Amazon has a global presence. Intermittent travel will be necessary and should be expected to be around 30%. Some travel will be domestic, but international travel will be necessary. Key job responsibilities Key job responsibilities • Possess strong engineering judgement and are able to provide recommendations despite uncertainty • Are detail and data oriented • Have experience engineering air handling, piping and/or pumping products • Review, update, and approve equipment submittals • Work with global liquid cooling equipment suppliers and manufacturers • Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance) • Work on concurrent projects, in multiple geographic zones • Understand and explain complex systems in clear and concise language • Support Operations including failure mode and root cause analysis, maintenance and troubleshooting support, and operating procedure review for both mechanical and electrical issues. • Listen to the voice of the customer to understand if there are improvements that can be made to increase product reliability or availability. • Work with global supplier and manufacturers to design product improvements, and to oversee root cause analysis. • Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you! About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. #DCE_P&S Basic Qualifications: - 6+ years of data center design, construction, operations, or facility maintenance experience - Bachelor's degree in Engineering or a related field - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Knowledge of critical data center mechanical and electrical equipment - Experience in data center design, construction, operations, or facility maintenance - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications: - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents 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, OH, COLUMBUS - 136,600.00 - 184,800.00 USD annually USA, TX, Austin - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually", "summaryDescription" : "Senior Product Lifecycle Mechanical Engineer, Data Center Mechanical Products & Services at Amazon Data Services, Inc.. Skills: Data center mechanical, Liquid cooling infrastructure, Product lifecycle engineering. Support data centers' liquid cooling infrastructure. Understand products during development", "postedDate" : "2026-06-13T15:18:19.885", "createdAt" : "2026-06-13T15:18:19.885", "lastUpdated" : "2026-06-15T02:22:53.702", "ingestTimestamp" : "2026-06-13T15:18:19.885", "mongoId" : "69e1043e2beec4dd3def229f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387963/apply", "salaryAnnualMin" : 136600, "salaryAnnualMax" : 184800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mechanical engineering", "Manufacturing experience", "Cooling principles", "Piping systems", "Pumping systems", "Air handler systems", "Engineering judgement", "Listen to customer", "Data center mechanical", "Liquid cooling infrastructure", "Product lifecycle engineering", "Cooling product design", "Quality manufacturing practices", "Equipment specifications", "Design change implications", "Failure mode analysis", "Root cause analysis", "Operating procedure review", "Concurrent projects", "Data center cooling", "Liquid cooling products", "Mission critical facilities", "Cloud infrastructure" ], "skillCount" : 23, "jobCategory" : "design", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c7c5e74d8ee00a094d415", "title" : "Associate Director, Nonclinical and Translational Strategy & Operations", "company" : "Centessa Pharmaceuticals, LLC", "industry" : "Pharma", "salary" : { "min" : 175000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston", "MA" ], "certifications" : [ "PMP certification" ], "timestamp" : "2026-06-16T06:36:05.916", "fingerprint" : "5b043ade670244d6db2a06cdb760b7a879f610ac54ba62de0b51f0749a56ed4a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centessapharmaceuticalsinc/jobs/6017655004", "externalId" : "6017655004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Advanced degree in life sciences (PhD preferred)", "experienceLevel" : "Director", "technicalSkills" : "MS-Office, Smartsheet", "professionalSkills" : [ "Program management", "Departmental management", "Operational rigor", "Strategic planning", "Operational coordination", "Metrics reporting", "Cross-functional communication", "Resource planning", "Cost-risk-benefit analysis", "Data management" ], "hardSkillsList" : [ "Nonclinical drug development", "Toxicology", "DMPK", "Translational PKPD", "Clinical Pharmacology", "Finance tracking", "Resource tracking" ], "softSkillsList" : [ "Influence without authority" ], "hardSkills" : [ { "name" : "Nonclinical drug development", "level" : "intermediate" }, { "name" : "Toxicology", "level" : "intermediate" }, { "name" : "DMPK", "level" : "intermediate" }, { "name" : "Translational PKPD", "level" : "intermediate" }, { "name" : "Clinical Pharmacology", "level" : "intermediate" }, { "name" : "Finance tracking", "level" : "intermediate" }, { "name" : "Resource tracking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Influence without authority" } ], "majorSkills" : "Nonclinical drug development, Translational strategy, Operations", "majorSkillsList" : [ "Nonclinical drug development", "Translational strategy", "Operations" ], "coreResponsibilities" : "Support development of integrated departmental timelines, Maintain integrated departmental timelines, Partner with program leads to build plans, Partner with program leads to monitor plans, Maintain dashboards, Maintain project plans, Maintain finance tracking tools, Maintain resource tracking tools, Maintain operational metrics, Communicate status of initiatives, Communicate risks of initiatives, Communicate progress of initiatives, Facilitate internal collaboration, Facilitate meetings, Track deliverables from external partners, Track deliverables from internal teams, Support preparation of governance materials, Support preparation of regulatory submission materials", "teamCollaboration" : "Cross-functional program management; Cross-functional program leads; External partners; CROs", "projectManagementSkills" : [ "Program management", "Departmental management", "Integrated timelines", "Scope", "Timing", "Deliverables", "Risks" ], "domainKnowledge" : "Nonclinical drug development; Toxicology; DMPK; Translational PKPD; Clinical Pharmacology; Discovery development; Early-stage development", "domainList" : [ "nonclinical-drug-development", "toxicology", "dmpk", "translational-pkpd", "clinical-pharmacology", "discovery-development", "early-stage-development" ], "domainSpecificKnowledge" : [ "Nonclinical drug development", "Toxicology", "DMPK", "Translational PKPD", "Clinical Pharmacology", "Discovery development", "Early-stage development" ], "toolProficiency" : [ "Smartsheet", "MS-Office", "Word", "PowerPoint", "Excel" ], "communicationSkills" : "Executive level narratives; High-quality updates", "documentationSkills" : "Regulatory submissions", "innovationCreativity" : "Creative solutions", "problemSolvingSkills" : "Synthesize complex information; Operate with ambiguity; Cost-risk-benefit analysis", "specialRequirements" : "25% travel", "outcomesObjectives" : "Deliver department work product", "qualificationsBasic" : "Advanced degree in life sciences, 8+ years of experience in program or departmental management, Working knowledge of nonclinical drug development, Exceptional computer proficiency, Advanced knowledge of Smartsheet, Advanced knowledge of MS-Office applications, Excellent analytical skills, Excellent organizational skills", "qualificationsPreferred" : "PhD in life sciences, Project management training, PMP certification", "rawDescription" : "Centessa Pharmaceuticals plc (Nasdaq: CNTA) new kind of pharmaceutical company with a deconstructed R&D environment that prioritizes data driven decision making led by subject matter experts. Centessa is advancing a portfolio of high conviction programs with strong biological validation. Our asset-centric model offers a unique R&D logic that has been applied by single asset companies to improve productivity. This operating model has minimal centralized infrastructure, reduced hierarchy, and exclusive focus on data driven capital allocation. Our teams are uniquely incentivized to expeditiously interrogate key scientific hypotheses. We believe the asset-centric model can lead to improved success rates for programs with greater speed and modest costs. Description of Role Nonclinical and Translational Strategy & Operations role will support the planning, execution, and coordination across all programs and operational initiatives. This role partners closely with leaders in toxicology, DMPK, clinical pharmacology, and cross-functional program management to drive alignment, operational rigor and effective communication. The role combines strategic planning, operational coordination, metrics/reporting, and cross-functional communication to help deliver department work product in an fast paced R&D environment. Key Responsibilities Support development and maintenance of integrated departmental timelines aligned with broader program objectives Partner with cross-functional program leads and PM(s) to build, and monitor integrated nonclinical and translational plans including scope, timing, deliverables and risks Maintain dashboards, project plans, finance/resource tracking tools, and operational metrics to support visibility and decision-making Communicate status, risks, and progress on departmental initiatives and deliverables, in partnership with cross-functional program leads/PMs, ensuring consistent, aligned, high-quality updates and communication to management, partners, and governance teams Facilitate internal collaboration and meetings, including agendas, presentation materials, minutes, decisions, and following up actions Track deliverables from external partners and internal teams, including CROs, with the help of Operations staff, and support preparation high- quality materials for governance and Regulatory submissions Qualifications Advanced degree in life sciences (PhD preferred), such as biology, pharmacology, biochemistry, or a related field 8+ years of experience in program or departmental management supporting discovery and early-stage development Strong working knowledge of nonclinical drug development (toxicology, pharmacology, DMPK, Translational PKPD, Clinical Pharmacology) Project management training or PMP certification is a plus Exceptional ability to synthesize complex scientific and operational information into clear, executive level narratives Proven capability to operate with ambiguity, influence without authority, and drive outcomes in a matrixed environment Strong communication, collaboration, and interpersonal skills Agile with an ability to respond positively to continuous change and to bring creative solutions to challenges Exceptional computer proficiency – advanced knowledge of and experience with Smartsheet and MS-Office applications (including Word, PowerPoint, and Excel) Excellent analytical and organizational skills (resources, timelines, cost/risk/benefit analysis, and overseeing data management) Compensation The annual base salary range for this job level is $175,000 - $210,000. Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, and job knowledge. In addition to base pay, this role is eligible for a discretionary annual bonus. Centessa also offers a comprehensive benefits package, which includes a 401(k) plan, company-sponsored medical, dental, vision, and life insurance, generous paid time off, and a health and wellness program. Work Location The Associate Director, Nonclinical and Translational Strategy & Operations role is a based in the US, with 25% travel. POSITION: Full-Time, Exempt EEOC Statement: Centessa Pharmaceuticals believes in a diverse environment and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Centessa Pharmaceuticals will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Please note: We will not assign referral rights for any unsolicited resumes from recruitment agencies.", "summaryDescription" : "Associate Director, Nonclinical and Translational Strategy & Operations at Centessa Pharmaceuticals, LLC. Skills: Nonclinical drug development, Translational strategy, Operations. Support development of integrated departmental timelines. Maintain integrated departmental timelines", "postedDate" : "2026-06-14T20:06:47.239", "createdAt" : "2026-06-14T20:06:47.239", "lastUpdated" : "2026-06-16T06:36:05.916", "ingestTimestamp" : "2026-06-14T20:06:47.239", "mongoId" : "6a2c7c5e74d8ee00a094d415", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Nonclinical drug development", "Toxicology", "DMPK", "Translational PKPD", "Clinical Pharmacology", "Finance tracking", "Resource tracking", "Influence without authority", "Translational strategy", "Operations", "Program management", "Departmental management", "Operational rigor", "Strategic planning", "Operational coordination", "Metrics reporting", "Cross-functional communication", "Resource planning", "Cost-risk-benefit analysis", "Data management", "Integrated timelines", "Scope", "Timing", "Deliverables", "Risks", "Discovery development", "Early-stage development", "PMP certification", "Smartsheet", "MS-Office", "Word", "PowerPoint", "Excel" ], "skillCount" : 33, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9b60", "title" : "Staff Data Scientist - Product", "company" : "Apollo. io", "industry" : "SaaS", "salary" : { "min" : 205200.0, "max" : 295000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:29:35.385", "fingerprint" : "723b63ee82e93de895511fcf6e63dfcdd03f1495ace7dab8cb50bacf3ee1caea", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apolloio/jobs/5894865004", "externalId" : "5894865004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, R, Python, SAS, Looker, Amplitude, Heap, Mixpanel", "professionalSkills" : [ "Product strategy", "Data analysis", "Product innovation", "Product optimization", "Data-driven solutions", "Analytics infrastructure", "Data collection", "Data reporting", "Product impact", "Data-driven decision-making", "Continuous improvement", "Data integrity", "Data accuracy", "Product launches", "Product metrics", "Product challenges", "Analytics infrastructure", "Product goals" ], "hardSkillsList" : [ "Exploratory analysis", "Time series analysis", "Funnel analysis", "Funnel optimization", "A/B testing", "Machine learning", "Statistical analysis" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Exploratory analysis", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Funnel analysis", "level" : "intermediate" }, { "name" : "Funnel optimization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Product analytics, Data science, Machine learning, Statistical analysis", "majorSkillsList" : [ "Product analytics", "Data science", "Machine learning", "Statistical analysis" ], "coreResponsibilities" : "Translate business needs into data analysis and actionable, Optimize product performance and user experience, Support early-stage product initiatives, Work closely with product managers, engineers, and stakeholders, Identify critical product questions, Provide data-driven solutions, Develop and maintain scalable, reliable, and accurate analytics, Support product decisions, Establish and maintain best practices for data collection,, Deliver actionable insights and recommendations, Focus on landing tangible product impact, Foster a culture of data-driven decision-making, Foster a culture of continuous improvement, Ensure the integrity and accuracy of the data, Support 0 to 1 product launches, Identify key metrics, Analyze early-stage product data", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Stakeholders", "domainKnowledge" : "SaaS Product-Led Growth; Product activation metrics; Aha moments; Habit moments", "domainList" : [ "saas-product-led-growth", "product-activation-metrics", "aha-moments", "habit-moments" ], "domainSpecificKnowledge" : [ "SaaS Product-Led Growth", "Product activation metrics", "Aha moments", "Habit moments" ], "toolProficiency" : [ "Looker", "Amplitude", "Heap", "Mixpanel" ], "communicationSkills" : "Present data insights", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience, Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization, Expert-level proficiency in influencing product strategy with SQL, A testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc, Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with Product Analytics tools (e.g., Looker, Amplitude), Experience with 0 to 1 product initiatives, Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments)", "remoteFriendly" : true, "rawDescription" : "Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. Establish and maintain best practices for data collection, analysis, and reporting. Deliver actionable insights and recommendations focused on landing tangible product impact. Help foster a culture of data-driven decision-making and continuous improvement within the product teams. Ensure the integrity and accuracy of the data used for analysis and reporting. While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data. Expertise in translating complex data into insights that are actionable for cross-functional teams. Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience. Experience in building and maintaining reliable analytics infrastructures. Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders. Experience with 0 to 1 product initiatives is a plus, though not required. A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience. Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required. Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required. Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus. Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $236,000—$295,000 USD Tier 2 Pay Range (All other US Locations) $205,200—$256,500 USD We are AI Native Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You’ll Love Working at Apollo At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more here!", "summaryDescription" : "Staff Data Scientist - Product at Apollo. io. Skills: Product analytics, Data science, Machine learning, Statistical analysis. Translate business needs into data analysis and actionable. Optimize product performance and user experience", "postedDate" : "2026-06-15T23:16:02.991", "createdAt" : "2026-06-15T23:16:02.991", "lastUpdated" : "2026-06-16T06:29:35.385", "ingestTimestamp" : "2026-06-15T23:16:02.991", "mongoId" : "6a305118f292fd229cef9b60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 205200, "salaryAnnualMax" : 295000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Exploratory analysis", "Time series analysis", "Funnel analysis", "Funnel optimization", "A/B testing", "Machine learning", "Statistical analysis", "Adaptability", "Product analytics", "Data science", "Product strategy", "Data analysis", "Product innovation", "Product optimization", "Data-driven solutions", "Analytics infrastructure", "Data collection", "Data reporting", "Product impact", "Data-driven decision-making", "Continuous improvement", "Data integrity", "Data accuracy", "Product launches", "Product metrics", "Product challenges", "Product goals", "SaaS Product-Led Growth", "Product activation metrics", "Aha moments", "Habit moments", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Looker", "Amplitude", "Heap", "Mixpanel" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "69fd04b04c40e2acd1ae5db6", "title" : "Internship – Nuclear Insights into Ocean Alkalinity", "company" : "IAEA", "industry" : "Government", "salary" : { "min" : 15000.0, "max" : 25000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Monaco, adjusted for the climate tech industry." }, "location" : "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "locations" : [ "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "2026-05-28, 11:59:00 PM" ], "timestamp" : "2026-06-16T02:29:37.292", "fingerprint" : "a63cf5e25ad269a77925d81db2227d480d5e2ee2e7cb8599a208fbce569f15bf", "source" : "taleo", "language" : "en", "applyUrl" : "https://iaea.taleo.net/careersection/ex/jobdetail.ftl?job=1314728", "externalId" : "1314728", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monaco", "state" : "Monaco", "country" : "Monaco", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "43.7309697,7.4248152" } ], "locationText" : "Monaco, Monaco, Monaco", "employmentType" : "INTERNSHIP", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NAML-Radioecology Laboratory Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "summaryDescription" : "Internship – Nuclear Insights into Ocean Alkalinity at IAEA", "createdAt" : "2026-06-14T19:48:41.011", "lastUpdated" : "2026-06-16T02:29:37.292", "ingestTimestamp" : "2026-06-14T19:48:41.011", "mongoId" : "69fd04b04c40e2acd1ae5db6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.85 }, { "id" : "6a307b2af292fd229c0449b6", "title" : "Senior Product Manager, Data", "company" : "Nuro", "industry" : "Technology", "salary" : { "min" : 160360.0, "max" : 240540.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nuro HQ - Mountain View, CA", "locations" : [ "Nuro HQ - Mountain View", "CA" ], "timestamp" : "2026-06-16T14:51:31.398", "fingerprint" : "9617351cf330a60ce67a43a6ae2216c25d680258e3385102643cbe709fa1d767", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://nuro.ai/careersitem?gh_jid=7603694", "externalId" : "7603694", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Define product strategy, Develop product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "rawDescription" : "Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us—that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale—from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We're looking for a Product Manager to own the data infrastructure and labeling systems that power our autonomous vehicle development. Data quality is one of the most critical inputs to our ML and Behavior teams, and this role will build the systems and workflows that give those teams confidence in the data they depend on—shipping dashboards that eliminate manual reconciliation, defining labeling standards that prevent costly rework, and creating infrastructure that scales as our fleet grows. This is a high-ownership role where you'll work across Engineering, Operations, ML, and external vendors to turn processes into reliable, measurable systems. About the Work Build visibility into data. Ship dashboards that reconcile mileage across sources, show collection coverage, and let ML and Behavior teams see what data exists and what's missing. Optimize data collection. Define requirements for smarter data collection routing to improve targeting efficiency—fewer miles driven, higher-value data captured. Scale the infrastructure. Develop tooling to support 150+ vehicles operating across multiple cities. Raise the bar on labeling quality. Own labeling specs approval, define pass/fail quality thresholds, and design a vendor audit framework that gives us quantified confidence in output. Own the labeling tooling roadmap. Prioritize engineering investment in labeling infrastructure and identify cost reduction opportunities (pre-labeling, smarter task routing, reducing redundant QA). About You You take ownership of messy problems. You're energized, not discouraged, by ambiguity. You'll inherit fragmented processes and incomplete systems—and you'll build structure where none exists. You ship. You bias toward action and delivering working solutions over perfect plans. You know when \"good enough now\" beats \"great later.\" You're deeply analytical. You're comfortable digging into data pipelines, writing SQL, and building your own visibility when dashboards don't exist yet. You operate at both altitude and ground level. You can define a long-term infrastructure vision and also roll up your sleeves to document acceptance criteria or audit vendor output. You communicate crisply across technical and non-technical audiences. You'll work daily with engineers, ML researchers, operations teams, and external vendors—and need to translate between all of them. You hold systems accountable. You don't just launch processes; you measure them, find where they break, and fix them. You have 5+ years of product management experience, ideally with exposure to data platforms, ML infrastructure, operations tooling, or vendor management. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.", "summaryDescription" : "Senior Product Manager, Data at Nuro. Define product strategy. Develop product roadmap", "postedDate" : "2026-06-16T01:16:41.355", "createdAt" : "2026-06-16T01:16:41.355", "lastUpdated" : "2026-06-16T14:51:31.398", "ingestTimestamp" : "2026-06-16T01:16:41.355", "mongoId" : "6a307b2af292fd229c0449b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160360, "salaryAnnualMax" : 240540, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309152f292fd229c0bd6d6", "title" : "Director of Lifecycle Marketing", "company" : "Metro Vein Centers", "industry" : "Healthcare", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Lifecycle Marketing in West Bloomfield, United States, adjusted for the healthcare industry and company size." }, "location" : "West Bloomfield, Michigan, United States", "locations" : [ "West Bloomfield", "Michigan", "United States" ], "timestamp" : "2026-06-16T12:23:15.923", "fingerprint" : "7716b7f4e3a852e5c7eb8b9aa45e4dced3493c012694869bd78107a672bcdc57", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metroveincenters/jobs/4286616009", "externalId" : "4286616009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "West Bloomfield", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5684073,-83.3740333" } ], "locationText" : "West Bloomfield, Michigan, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 8, "experienceLevel" : "Director", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "rawDescription" : "Metro Vein Centers is a rapidly growing healthcare practice specializing in state-of-the-art vein treatments. Our board-certified physicians and expert staff are on a mission to improve people’s quality of life by relieving the painful, yet highly treatable symptoms of vein disease—such as varicose veins and heavy, aching legs. With over 70 clinics across 8 states, and still growing, we’re building the future of vein care—delivering compassionate, results-driven care in a modern, patient-first environment. We proudly maintain a Net Promoter Score (NPS) of 93, the highest patient satisfaction in the industry. Role Overview The Director of Lifecycle Marketing owns the patient lifecycle end-to-end — from first inquiry through booking, attendance, treatment completion, and reactivation. Unlike traditional retention-focused roles, this position is about preventing dropoff and accelerating the path to treatment in a high-consideration healthcare journey. As a strategic partner to Revenue Cycle Management (RCM), Patient Intake (Sales), Tech and Data, and Operations, you'll own HubSpot as the connective tissue across these functions, define the lifecycle KPI framework, establish the testing and measurement methodology, and own governance for all patient and marketing communications. You'll manage and develop our Lifecycle Marketing Manager, setting the strategic vision while staying close enough to the work to QA campaigns, troubleshoot workflows, and pressure-test the data. Key Responsibilities Patient Lifecycle Ownership partner with Legal/Compliance on consent management, data handling, and audit readiness Stay current on healthcare marketing regulations and platform policy changes (Apple MPP, Google deliverability shifts, SMS carrier rules, etc.) Qualifications 6–8 years of lifecycle marketing experience managing complex lifecycle journeys Healthcare industry experience ideal; multi-location consumer healthcare, dental, or specialty care strongly preferred Proven track record of partnering with RCM, intake/sales, and operations functions Strong command of lifecycle metrics and frameworks, particularly booking, attendance, completion, and reactivation Proven experience building structured testing and experimentation frameworks (A/B and incremental holdout) to measure causal lift Technical fluency across email and SMS infrastructure, authentication (SPF, DKIM, DMARC, BIMI), deliverability and inbox placement, 10DLC registration, carrier filtering, and IP/domain reputation management Demonstrated fluency in CRM tools; HubSpot experience a plus Highly analytical; fluent in Excel/Google Sheets and/or BI tools (Looker, Tableau, etc.) Working knowledge of HIPAA and healthcare marketing compliance Proven track record of leveraging HIPAA-compliant AI as a force multiplier, predictive scoring, personalization, content generation/optimization, and agentic QA/ops automation Hands-on enough to QA workflows, troubleshoot data issues, and pressure-test campaign logic Familiarity with emerging messaging channels (RCS Business Messaging, branded sender verification) and a point of view on where to invest as the channel matures Excellent communication skills; able to influence senior cross-functional leaders Comfortable operating in a fast-paced, growth-oriented environment with high performance expectations The Metro Vein Centers Difference Healthy legs. Happier lives. At Metro Vein Centers, we believe exceptional care begins with an exceptional experience. Our mission is to make vein care approachable, empowering, and connected to overall well-being. From the first conversation to the final follow-up, every patient interaction reflects our commitment to compassion, expertise, and trust. A team united by purpose. Our values guide everything we do: Patients First, Always – Every interaction should make our patients feel valued, heard, and cared for. Stronger Together – Teamwork and collaboration drive our success. We lift each other up to deliver the best for our patients. A Can-Do Spirit – We meet every challenge with positivity, flexibility, and problem-solving energy. Results That Make a Difference – We’re driven to improve lives through meaningful, measurable outcomes. Commitment to Growth – We invest in our people, fostering advancement and professional development at every level. Metro Vein Centers is an Equal Opportunity Employer. We’re committed to creating a workplace where everyone feels seen, heard, and supported. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal & Compliance Notice: Metro Vein Centers complies with all applicable federal, state, and local employment laws, including those related to nondiscrimination, equal opportunity, and pay transparency. Where specific disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy here.", "summaryDescription" : "Director of Lifecycle Marketing at Metro Vein Centers. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics", "postedDate" : "2026-06-16T03:16:15.620", "createdAt" : "2026-06-16T03:16:15.620", "lastUpdated" : "2026-06-16T12:23:15.923", "ingestTimestamp" : "2026-06-16T03:16:15.620", "mongoId" : "6a309152f292fd229c0bd6d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d8c", "title" : "Software Development Engineer, AWS Bill Generation Usage Processing and On-Demand Line Items", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T06:04:08.699", "fingerprint" : "066c694f5576e968cc3c5b018c13b108bf044d0fb3dca5d06d83a19e5416168b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448915/apply", "externalId" : "568d0be2-b21f-4e14-b95c-9d364b71ffd1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, C++, Python, Go, Distributed systems, Cloud computing, AWS, Microservices, RESTful APIs, SQL, NoSQL", "professionalSkills" : [ "System design", "Problem solving", "Analytical skills" ], "hardSkillsList" : [ "Software development", "System architecture", "Data structures", "Algorithms" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" } ], "majorSkills" : "Software development, Distributed systems, Cloud computing", "majorSkillsList" : [ "Software development", "Distributed systems", "Cloud computing" ], "coreResponsibilities" : "Design, build, and maintain scalable software systems, Develop and deploy new features, Troubleshoot and resolve production issues, Collaborate with product managers and other engineers, Write high-quality, maintainable code, Participate in code reviews, Improve system performance and reliability, Contribute to architectural decisions", "teamCollaboration" : "Cross-functional teams; Agile development teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "AWS Bill Generation; Usage Processing; On-Demand Line Items", "domainList" : [ "aws-bill-generation", "usage-processing", "on-demand-line-items" ], "domainSpecificKnowledge" : [ "AWS Bill Generation", "Usage Processing", "On-Demand Line Items" ], "toolProficiency" : [ "Git", "JIRA", "Docker", "Kubernetes" ], "communicationSkills" : "Technical documentation; Verbal communication", "documentationSkills" : "Technical writing", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 3+ years of experience in software development", "qualificationsPreferred" : "Master's degree or PhD in Computer Science or related field, Experience with large-scale distributed systems, Experience with AWS services", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Do you want to solve business challenges through innovative technology? Do you enjoy working on evolving, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use frontier technology with AI-first approach to solve complex problems and get to see the impact of their work first-hand. Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. • Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. • Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. • Design and code the right solutions starting with broadly defined problems. • Work in an agile environment to deliver high-quality software. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, AWS Bill Generation Usage Processing and On-Demand Line Items at Amazon Development Center U.S., Inc.. Skills: Software development, Distributed systems, Cloud computing. Design, build, and maintain scalable software systems. Develop and deploy new features", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:56:40.033", "lastUpdated" : "2026-06-16T06:04:08.699", "ingestTimestamp" : "2026-06-15T21:56:40.033", "mongoId" : "6a305649f292fd229cf26d8c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448915/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "System architecture", "Data structures", "Algorithms", "Distributed systems", "Cloud computing", "System design", "Problem solving", "Analytical skills", "Agile", "Scrum", "AWS Bill Generation", "Usage Processing", "On-Demand Line Items", "Git", "JIRA", "Docker", "Kubernetes" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191e7758b93c861e39f7ee", "title" : "Product Strategy", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Product Strategy roles in Beijing, China, adjusted for executive seniority and the automotive industry." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "LSH Tower C, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T23:03:13.183", "fingerprint" : "3401913aff1e874d0abc237a97fde33e00c174345d5cf15f51fab4db26744f7c", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=889581", "externalId" : "889581", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product portfolio management", "Business administration", "Business models", "Business case development", "Strategic project management", "Organizational structures", "Process management", "Strategic narratives", "Presentation delivery" ], "hardSkillsList" : [ "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration", "Market analysis", "Financial analysis", "Competitive analysis", "KPI measurement" ], "hardSkills" : [ { "name" : "Product strategy", "level" : "intermediate" }, { "name" : "Roadmap development", "level" : "intermediate" }, { "name" : "User story creation", "level" : "intermediate" }, { "name" : "Cross-functional collaboration", "level" : "intermediate" }, { "name" : "Market analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Competitive analysis", "level" : "intermediate" }, { "name" : "KPI measurement", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Project management, Business development, Cross-functional leadership", "majorSkillsList" : [ "Product strategy", "Project management", "Business development", "Cross-functional leadership" ], "coreResponsibilities" : "Setup strategic project premises, Define product portfolio and scope, Define target market, Define overall timeline, Define delivery target, Setup overall cost target, Setup profitability target, Setup overall localization target, Setup partnering strategy, Manage strategic project executions, Steer strategic project executions, Secure transparent info flow, Secure efficient info flow, Secure transparent decision flow, Secure efficient decision flow, Setup project organization, Manage project key milestones, Manage project deliverables, Steer project key financial premises, Steer project financial steering, Ensure project steering transparency, Ensure project management transparency, Measure project core KPI, Measure product core KPI, Design internal consulting services, Design external consulting services, Manage internal consulting services, Manage external consulting services, Define consulting scope, Scout project needed financial benchmark, Scout project needed partnering benchmark, Manage consulting services pitch, Manage consulting procurement processes, Validate GR consulting result, Validate quality consulting result, Translate consulting result into strategic decision input, Perform ad-hoc strategic topics analysis, Generate ad-hoc strategic topics report, Analyze core market competition, Analyze partnering, Analyze financial impact, Analyze implications to product lineup, Analyze data driven strategic topics, Analyze customer feedback strategic topics, Prepare management presentations, Prepare MBCC level presentations, Prepare PBC to PSCN level presentations, Align PBC to PSCN level presentations, Prepare BoM level presentations, Prepare AMP level presentations, Prepare PSB level presentations, Align PSB level presentations, Prepare PS-X level presentations, Align PS-X level presentations", "teamCollaboration" : "Cross-functional coordination; Global teams collaboration; Local teams collaboration", "projectManagementSkills" : [ "Project management", "Program management", "Roadmap planning", "Timeline management", "Deliverable tracking", "Financial steering", "KPI management" ], "domainKnowledge" : "Automotive industry; Intelligence systems; E/E architecture; Drive systems; Vehicle projects; Car portfolio", "domainList" : [ "automotive-industry", "intelligence-systems", "e-e-architecture", "drive-systems", "vehicle-projects", "car-portfolio" ], "domainSpecificKnowledge" : [ "Automotive industry", "Intelligence systems", "E/E architecture", "Drive systems", "Vehicle projects", "Car portfolio" ], "communicationSkills" : "Strategic narratives; High-impact presentations", "problemSolvingSkills" : "Conflict resolution", "qualificationsBasic" : "Extensive experience automotive and intelligence system project/program management, Profound knowledge business administration, business models, business case development, Proven ability understand advanced technologies, Exceptional capability setting up and steering complex organizational structures and processes, Demonstrated excellence generating strategic narratives, Demonstrated excellence delivering high-impact presentations to top management, Well-established network within Mercedes-Benz HQ and China, Outstanding skills conflict resolution, Outstanding skills cross-functional alignment, Outstanding skills collaborative leadership", "remoteFriendly" : false, "rawDescription" : "Objective of job The Product Strategy team is a pivotal organization within MBGC, responsible for steering future strategic topics across vehicle projects, car portfolio, intelligence and E/E architecture, and drive systems strategy and portfolio. The team ensures seamless cross-functional coordination from strategy to execution, working closely with both global and local teams. By aligning technological trends and innovations, market needs, and corporate objectives, the team’s deliverables directly shape the future product lineup, driving both global and local initiatives for long-term success. Task description Strategic Project premises setup, including but not limited to: - Product portfolio and scope, target market etc. - Overall timeline and delivery target - Overall cost / profitability target setup - Overall localization target setup - Overall partnering strategy Management and Steering of Strategic Project executions, also to secure transparent and highly efficient info / decision flow, including but not limited to: - Project organization setup - Project key milestone & deliverables - Project key financial premises and steering - Project steering / management tools and method transparency - Project / Product core KPI measurement Design and management of needed internal and/or external consulting services, including but not limited to: - Needed consulting scope, especially regarding project needed financial or partnering benchmark scouting - Consulting services pitch and procurement processes - GR and quality validate - Translate consulting result into valid strategic decision input Top-down or bottom-up ad-hoc strategic topics analysis & report generation, including but not limited to: - Core market competition driven strategic analysis, partnering analysis and financial impact, and their implications to MB; - Data driven / Customer feedback driven etc. ad-hoc strategic topics Management presentations, including but not limited to: - CN: MBCC level presentations - CN: PBC to PSCN level presentations and alignment - HQ: BoM, AMP level presentations prep - HQ: PSB, PS-X level presentations and alignment Qualification - Extensive experience in automotive and intelligence system project/program management, demonstrating seniority and leadership in complex environments. - Profound knowledge of business administration, business models, and business case development, with a strong focus on the automotive industry. - Proven ability to understand advanced technologies and translate them into actionable business and product strategies. - Exceptional capability in setting up and steering complex organizational structures and processes, delivering strategic projects deliverables fulfilling top management expectations even with unprecedent approaches and challenges. - Demonstrated excellence in generating strategic narratives and delivering high-impact presentations to top management. - Well-established network within Mercedes-Benz HQ and China, with outstanding skills in conflict resolution, cross-functional alignment, and collaborative leadership. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Product Strategy at Mercedes-Benz Group China Ltd.. Skills: Product strategy, Project management, Business development, Cross-functional leadership. Setup strategic project premises. Define product portfolio and scope", "createdAt" : "2026-06-14T21:57:50.308", "lastUpdated" : "2026-06-15T23:03:13.183", "ingestTimestamp" : "2026-06-14T21:57:50.308", "mongoId" : "6a191e7758b93c861e39f7ee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration", "Market analysis", "Financial analysis", "Competitive analysis", "KPI measurement", "Project management", "Business development", "Cross-functional leadership", "Product portfolio management", "Business administration", "Business models", "Business case development", "Strategic project management", "Organizational structures", "Process management", "Strategic narratives", "Presentation delivery", "Program management", "Roadmap planning", "Timeline management", "Deliverable tracking", "Financial steering", "KPI management", "Automotive industry", "Intelligence systems", "E/E architecture", "Drive systems", "Vehicle projects", "Car portfolio" ], "skillCount" : 32, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055a1f292fd229cf20674", "title" : "HR Analyst, Employee Lifecycle", "company" : "Huntsman Corporation", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level HR Analyst, Employee Lifecycle at a manufacturing company in Kuala Lumpur, Malaysia, based on 2024-2025 market data." }, "location" : "Malaysia", "locations" : [ "Malaysia" ], "timestamp" : "2026-06-16T11:30:22.001", "fingerprint" : "236f524c2d2d4e87e201450251038562d4cdb23f736c8417eb403f609d602070", "source" : "workday", "language" : "en", "applyUrl" : "https://huntsman.wd1.myworkdayjobs.com/Huntsman/job/Malaysia---Kuala-Lumpur/HR-Analyst--Employee-Lifecycle_J-019945", "externalId" : "J-019945", "industryFunction" : { }, "locationPoint" : "4.2105,101.9758", "structuredLocations" : [ { "city" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1516964,101.6942371" } ], "locationText" : "Kuala Lumpur, Malaysia", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** : **Huntsman Corporation** is now looking for a dynamic individual as a **HR Analyst, Employee Lifecycle**. The HR Analyst, Employee Lifecycle is an entry-level operational role responsible for the accurate and timely processing of day-to-day employee lifecycle transactions for APACI countries within the Kuala Lumpur HR Shared Services Centre. Working under the guidance of the regional Employee Lifecycle team, the role supports the full hire-to-retire cycle — including onboarding, job and data changes, employee movements, benefits administration and offboarding — by executing transactions in Workday and related systems with a strong focus on data accuracy, quality, and adherence to defined procedures and SLAs. This position serves as a first point of contact for routine employee and manager queries, ensuring requests are handled professionally, escalated appropriately, and resolved within agreed service levels. It is a learning-oriented role designed for a fresh graduate or early-career professional to build foundational HR operations expertise, develop process discipline, and grow within a multi-country shared services environment. Proficiency in Mandarin is an advantage to support employee populations across Greater China. This position will be based in Kuala Lumpur, Malaysia. **As a** **HR Analyst, Employee Lifecycle** , **you will:** **A. Employee Lifecycle Transaction Processing** Process day-to-day employee lifecycle transactions in Workday — new hires and onboarding, job changes, organizational and personal data updates, transfers, employee movements, and offboarding — accurately and within agreed timelines. Perform personnel data administration and maintain complete, up-to-date employee records in line with company policy and local country requirements. Prepare standard HR letters and documentation (e.g., confirmation, transfer, and employment verification letters) using approved templates. Support benefits administration and other routine lifecycle activities as assigned. Partner with Payroll, HR Business Partners, Talent Acquisition, Benefits, and other stakeholders to ensure smooth completion of employee lifecycle activities. **B. Employee & Manager Support – Tier-1 Case Handling** Act as a first point of contact for routine employee and manager enquiries received via the case management/ticketing tool, email, or phone, providing clear and courteous responses. Resolve straightforward requests within SLA and escalate complex or non-standard cases to senior team members or the Team Lead with appropriate context. Update and close cases accurately, ensuring proper categorization and timely follow-through. **C. Data Quality, Accuracy & Compliance** Verify the accuracy and completeness of data entered, applying the required checks and validation steps before transactions are finalized. Adhere to standard operating procedures, data privacy requirements, and internal controls in all lifecycle activities. Flag data discrepancies, errors, or recurring issues to senior team members for review and correction. **D. Documentation & Knowledge Support** Follow Desktop Procedures (DTP) and country-specific requirements when processing transactions to ensure consistency and quality. Highlight outdated or unclear process documentation and support the team in keeping knowledge articles and procedures current. Build and maintain personal process knowledge through on-the-job learning and training. **E. Continuous Improvement & Reporting Support ** Assist in preparing routine operational reports and trackers as required. Contribute ideas for simplifying or improving day-to-day processes and participate in team improvement activities. Support ad-hoc HRSSC projects, audits, user acceptance testing (UAT), process changes, system enhancement activities and initiatives as assigned. **What skills and experiences are we looking for?** Bachelor’s Degree in Human Resources, Business Administration, or a related discipline Internship or early exposure to HR operations or shared services is an advantage; no prior experience required for strong fresh graduates Foundational understanding of HR processes and the employee lifecycle (hire-to-retire), gained through study, internship, or early experience. Familiarity with, or willingness to quickly learn, HR systems (Workday) and case management/ticketing tools (e.g., ServiceNow). Working proficiency in Microsoft Office, particularly Excel (data entry, basic formulas) and Outlook. Strong attention to detail and accuracy in data handling and transaction processing. Good written and verbal communication skills in English; proficiency in Mandarin is an advantage. Customer-service orientation with a professional, helpful approach to employee and manager queries. Good organizational and time-management skills, with the ability to follow procedures and manage routine priorities. Eagerness to learn, take direction, and develop within a structured shared services environment. High level of integrity in handling confidential employee data. **What can we offer?** Huntsman offers unsurpassed opportunities to build a successful future. We are a global specialty chemical company with locations in 25 countries around the world, employing over 6,000 associates. Our diverse portfolio creates a range of career fields including manufacturing, research and development, technical services, sales and marketing, customer service – and the list goes on. Here, you can make an impact and make a difference. Come join us. Huntsman is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunities (EEO) to all qualified applicants for employment, without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identification, sexual orientation and/or expression or any other characteristic protected by law in every location in which we have facilities national or local. Please refer to [**https://www.huntsman.com/privacy/online-privacy-notice**](https://www.huntsman.com/privacy/online-privacy-notice) for Company’s Data Privacy and Protection information. All unsolicited resumes presented by recruitment agencies are treated as pro bono information or service. Huntsman is aware of a scam involving fraudulent job offers. Huntsman does not make job offers until after a candidate has submitted a job application and has participated in a face-to-face interview. Please be advised that emails from Huntsman always end in “@huntsman.com” and that any job offer that requires payment or requires you to deposit a check is likely a scam. If you have questions about any open positions at Huntsman, please visit our Careers website at [**http://www.huntsman.com/corporate/a/Careers**](http://www.huntsman.com/corporate/a/Careers)**.** **Additional Locations:**", "summaryDescription" : "HR Analyst, Employee Lifecycle at Huntsman Corporation", "postedDate" : "2026-06-16T03:47:51.890", "createdAt" : "2026-06-16T03:47:51.852", "lastUpdated" : "2026-06-16T11:30:22.001", "ingestTimestamp" : "2026-06-16T03:47:51.852", "mongoId" : "6a3055a1f292fd229cf20674", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://huntsman.wd1.myworkdayjobs.com/Huntsman/job/Malaysia---Kuala-Lumpur/HR-Analyst--Employee-Lifecycle_J-019945", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305640f292fd229cf264f5", "title" : "Senior Product Data Scientist", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Product Data Scientist in Barcelona, Spain, adjusted for the e-commerce industry and company size." }, "location" : "Barcelona, Spain", "locations" : [ "Barcelona", "Spain" ], "timestamp" : "2026-06-16T09:25:51.107", "fingerprint" : "8c310e76553fb842efef88827cd874ad2680229fa565cc59a4637e3cddb8113f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000132161891-senior-product-data-scientist", "externalId" : "744000132161891", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, Pandas, SciPy, Seaborn, Jupyter, IPython, Tableau, Looker, PowerBI, Machine Learning, Deep Learning, Reinforcement Learning, Game Theory, Statistical Inference, Bayesian Statistics, Causal Inference, Time Series Analysis, Decision Theory, Mathematical Optimisation, Supervised Learning, Unsupervised Learning", "professionalSkills" : [ "Quantitative analysis", "Product development", "Data-driven insights", "Decision-making", "Agile methodologies" ], "hardSkillsList" : [ "Statistical modeling", "Advanced analytics", "Experiment design", "Experiment analysis" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Experiment analysis", "level" : "intermediate" } ], "majorSkills" : "Product Data Science, Machine Learning, Statistical Modeling", "majorSkillsList" : [ "Product Data Science", "Machine Learning", "Statistical Modeling" ], "coreResponsibilities" : "Leverage advanced statistical modeling, Leverage machine learning techniques, Solve product problems, Solve business problems, Work closely with multi-disciplinary teams, Define product roadmap, Define product strategy, Monitor product metrics, Monitor product KPIs, Give visibility of product metrics, Give visibility of product KPIs, Drive product discovery, Formulate data-driven hypotheses, Convert hypotheses into analysis, Convert hypotheses into actionable insights, Own analytics tasks end to end, Foster relationships with stakeholders, Act as strategic link, Act as supportive link", "teamCollaboration" : "Multi-disciplinary teams; Technology; Business; Product", "projectManagementSkills" : [ "Agile methodologies", "Roadmap" ], "domainKnowledge" : "Digital product development", "domainList" : [ "digital-product-development" ], "domainSpecificKnowledge" : [ "Digital product development" ], "toolProficiency" : [ "Tableau", "Looker", "PowerBI", "Pandas", "SciPy", "Seaborn", "Jupyter", "IPython" ], "continuousLearning" : "External learning budget", "problemSolvingSkills" : "Data-driven hypotheses; Actionable insights", "qualificationsBasic" : "6+ years of professional experience, Higher education in scientific discipline, Knowledge and experience in digital product development, Demonstrable experience with statistical modeling, Deep theoretical and applied knowledge in ML/statistics, Good understanding of software development, Mastery in SQL, Mastery in statistical programming (Python), Experience working with Pandas, Experience working with SciPy, Experience working with Seaborn, Experience working with Jupyter/iPython notebooks, Demonstrated experience in designing experiments, Demonstrated experience in analyzing experiments, Knowledge of visualization tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 70 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. YOUR MISSION As a part of the data organization you will work to ensure customers have an excellent experience when ordering through the Glovo app. You will work on problems related to recommendations, pricing, customer retention and more. You will be responsible for nurturing a strong experimentation culture, work on discoveries that drive the product roadmap and build solutions that impact millions of customers. THE JOURNEY Be part of a team where you will: * Leverage advanced statistical modeling and machine learning techniques to solve for product and business problems that drive the highest impact. * Work closely with multi-disciplinary teams to define the product roadmap and strategy, monitor and give visibility of product metrics and KPIs. * Drive product discovery, formulate data-driven hypotheses and convert them into analysis and actionable insights. * Own analytics tasks end to end in the product development cycle: from ideation and opportunity sizing to experimentation and post-launch impact analyses. * Foster strong relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product. ## Qualifications WHAT YOU WILL BRING TO THE RIDE Requirements: * 6+ years of professional experience outside of an academic and internship setting, in a quantitative analysis role, preferably in product facing teams * A higher education in a scientific discipline such as Physics, Statistics, Computer Science, Mathematics or Economics. * Knowledge and experience in digital product development and working with diverse stakeholders * Demonstrable experience with the application of statistical modeling and advanced analytics to provide product-shaping insights and drive decision-making * Deep theoretical and applied knowledge in at-least one of the following areas: supervised and unsupervised learning, deep learning, reinforcement learning, game theory, statistical inference, bayesian statistics, causal inference, time series analysis, decision theory, mathematical optimisation * Good understanding of software development and agile methodologies * Mastery in SQL and statistical programming (Python) and experience working with popular libraries such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks * Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc) * Knowledge of visualization tools like Tableau, Looker, PowerBI * Excellent spoken and written English Individuals representing diverse profiles, encompassing various [genders](https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified), ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. We believe driven talent deserves: * \uD83C\uDF1F An enticing equity plan (dependent on level) that lets you own a piece of the action. * \uD83D\uDCAA Top-notch private health insurance to keep you at your peak. * \uD83C\uDF54 Monthly Glovo credit to satisfy your cravings! * \uD83D\uDCB3 Discounts on transportation, food, and even kindergarten expenses. * \uD83C\uDFCA Wellhub membership to keep you energised. * \uD83C\uDFD6️Flexible time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year! * \uD83D\uDC6A Enhanced parental leave, and office-based nursery. * \uD83E\uDDE0 Online therapy and wellbeing benefits to ensure your mental well-being. * \uD83D\uDCDA An external learning budget to fuel your thirst for knowledge and personal growth. Here in Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and checking out our [Linkedin](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)! ## Additional Information At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles[ here](https://careers.deliveryhero.com/leadership-principles). Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and check out our [LinkedIn](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)!", "summaryDescription" : "Senior Product Data Scientist at Delivery Hero. Skills: Product Data Science, Machine Learning, Statistical Modeling. Leverage advanced statistical modeling. Leverage machine learning techniques", "postedDate" : "2026-06-15T10:09:07.000", "createdAt" : "2026-06-15T23:41:51.034", "lastUpdated" : "2026-06-16T09:25:51.107", "ingestTimestamp" : "2026-06-15T23:41:51.034", "mongoId" : "6a305640f292fd229cf264f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Advanced analytics", "Experiment design", "Experiment analysis", "Product Data Science", "Machine Learning", "Statistical Modeling", "Quantitative analysis", "Product development", "Data-driven insights", "Decision-making", "Agile methodologies", "Roadmap", "Digital product development", "Tableau", "Looker", "PowerBI", "Pandas", "SciPy", "Seaborn", "Jupyter", "IPython" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cefa47f", "title" : "Senior Product Data Analyst", "industry" : "Analyst", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Data Analyst in Canada, adjusted for the FinTech industry and senior experience level." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T13:22:05.668", "fingerprint" : "e12abb8e675b2960455416147e3ff768326f68e744ce85c77d3783e7c43fab63", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/3c0fd066-f522-42e4-8b94-9eb914bfb27b/apply", "externalId" : "3c0fd066-f522-42e4-8b94-9eb914bfb27b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Looker, Tableau", "professionalSkills" : [ "Decision science", "Analytical approaches", "Analytical models", "Analytical initiatives", "Product strategy", "Business challenges", "Business objectives", "Business decisions", "Business problems", "Roadmap decisions", "Strategic priorities" ], "hardSkillsList" : [ "Statistical analysis", "Experimentation", "Modeling", "Data exploration", "Data-driven insights", "Structured analytical approaches", "Analytical models", "Pricing optimization", "Conversion optimization", "Transactional datasets", "Behavioral datasets" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Data exploration", "level" : "intermediate" }, { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Structured analytical approaches", "level" : "intermediate" }, { "name" : "Analytical models", "level" : "intermediate" }, { "name" : "Pricing optimization", "level" : "intermediate" }, { "name" : "Conversion optimization", "level" : "intermediate" }, { "name" : "Transactional datasets", "level" : "intermediate" }, { "name" : "Behavioral datasets", "level" : "intermediate" } ], "majorSkills" : "Product analytics, Decision science, Data science, SQL, Python, Experiment design", "majorSkillsList" : [ "Product analytics", "Decision science", "Data science", "SQL", "Python", "Experiment design" ], "coreResponsibilities" : "Partner with teams to shape product strategy, Translate business challenges into analytical approaches, Lead analytical initiatives, Define problems, Build models, Develop recommendations, Implement recommendations, Align with business objectives, Achieve measurable outcomes, Develop analytical models, Optimize trade-offs, Design experiments, Execute experiments, Evaluate experiments, Identify product opportunities, Identify operational inefficiencies, Identify strategic insights, Present insights, Present recommendations, Influence roadmap decisions, Influence strategic priorities", "teamCollaboration" : "Partner with Product; 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Lead end-to-end analytical initiatives, from problem definition and modeling to recommendations and implementation, ensuring alignment with business objectives and measurable outcomes. Develop and apply analytical models to optimize trade-offs across pricing, risk, conversion, profitability, and customer experience. Design, execute, and evaluate experiments, including A/B testing and pricing/conversion optimization initiatives. Identify product opportunities, operational inefficiencies, and strategic insights from large-scale transactional and behavioral datasets. Present executive-ready insights and recommendations that influence roadmap decisions and strategic priorities. Requirements: Strong experience in product analytics, decision science, or data science within a product-driven or fintech environment. Advanced SQL skills and strong ability to work with large-scale transactional or product datasets. Proficiency in Python for statistical analysis, experimentation, modeling, or data exploration. Experience designing experiments and building analytical frameworks that support product and business decisions. Ability to translate ambiguous business problems into structured analyses and actionable recommendations. Strong stakeholder management and communication skills, with the ability to influence senior Product and Engineering leaders. Experience with BI and data visualization tools such as Looker, Tableau, or similar platforms. Benefits: Flexible work environment supporting autonomy and work-life balance. Competitive compensation with equity participation opportunities. Comprehensive health, dental, and wellness benefits. Pension/RRSP contributions to support long-term financial security. Flexible paid time off and supportive parental leave policies. Professional development and training opportunities to accelerate career growth. Wellness and health credits to support physical and mental well-being. Volunteer days and community engagement initiatives. Employee programs including social clubs, interest groups, and team activities. Equipment and home-office support programs to enhance remote work setup. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Product Data Analyst. Skills: Product analytics, Decision science, Data science, SQL, Python, Experiment design. Partner with teams to shape product strategy. 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Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. 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Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T06:40:29.812", "fingerprint" : "792e412187868fafd7e06d83bc23ced5f7f735f3d62fa0eb98a3ca1defecb907", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=116946", "externalId" : "116946", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: · Medical, Dental and Vision plans that include no-cost and low-cost plan options · Immediate 401(k) matching and vesting · Vehicle purchase and lease discounts plus monthly vehicle allowances · Paid Volunteer Time Off with company donation to a charity of your choice · Tuition reimbursement What to Expect The Lifecycle Communications Manager supports the development, execution, and ongoing improvement of customer-facing communications across key stages of the financing lifecycle, including onboarding, servicing, payments, collections, end-of-term, titles, and loyalty. This role focuses on operational, transactional, and trigger-based communications that help customers understand next steps, complete important actions, and have a more consistent experience. Working closely with the Senior Product Manager, CX Engagement, and cross-functional partners, this role helps implement lifecycle communication journeys and messaging within Salesforce Marketing Cloud. This position is responsible for building and maintaining clear, compliant, and customer-friendly communications that align with business priorities, support operational processes, and improve the overall customer experience. What You Will Do 1. Lifecycle Communication Strategy & Execution · Manage delivery of lifecycle communications across key stages such as onboarding, servicing, statements and payments, collections, end-of-term, titles, and loyalty. · Translate customer journey insights, friction points, service needs and operational requirements into clear, action‑oriented customer messages. · Help ensure communications reduce confusion, improve clarity, and support successful completion of key customer tasks. · Distinguish lifecycle operational communications (owned by this role) from marketing campaign communications (owned by Marketing) and coordinate appropriately with Marketing partners. 2. Salesforce Marketing Cloud Execution & Message Orchestration · Build, maintain, and optimize automated journeys, triggered messages, transactional communications, and lifecycle sequences within Salesforce Marketing Cloud. · Implement communication logic, event triggers, segmentation, and contact rules aligned with the CX Engagement roadmap. · Partner with Data Engineering, CX Engagement, and CRM/MC teams to support data availability, accuracy, and timeliness for trigger-based communication experiences. · Maintain templates, content modules, and reusable message assets to support scalability, efficiency and consistency. 3. Content Development & Communication Standards · Write and edit customer‑facing content that is clear, simple, compliant, and aligned to brand standards. · Maintain consistency in voice, tone, and message structure across lifecycle communications. · Incorporate Legal, Compliance, and business feedback to ensure communications meet regulatory and operational requirements. · Support the development and documentation of communication standards, message frameworks, and decision guidelines used by the team and adopted across the enterprise. 4. Performance Monitoring & Optimization · Monitor communication performance metrics such as delivery, engagement, and completion of customer actions. · Identify opportunities to improve clarity, reduce unnecessary contacts, and improve customer response or task completion. · Support testing and iterative improvements to messages, journeys, and channel use based on results and stakeholder feedback. 5. Cross‑Functional Coordination · Collaborate with CX Strategy, Digital Product, Servicing, Collections, Titles, Operations, and Marketing partners to align communications with customer and business needs. · Help ensure messages accurately reflect operational processes, system capabilities, and approved business rules. · Coordinate with partners to support delivery timelines, approvals, and execution readiness. · Participate in roadmap planning and quarterly prioritization discussions led by Senior Product Manager, CX Engagement. What You Will Bring · Minimum 5-7 years in lifecycle communications, CRM, customer engagement, customer experience, or marketing automation. · Experience building communications in Salesforce Marketing Cloud or equivalent customer engagement platforms. · Experience writing, editing, or structuring customer-facing operational messages. · Bachelor’s degree in Communications, Marketing, Business, CX, Digital Experience or related field . · Strong writing skills focused on clarity, simplicity, and action-oriented customer guidance. · Understanding of lifecycle engagement, trigger-based messaging, and event-driven communication models. · Skilled in Salesforce Marketing Cloud (Journey Builder, Automation Studio, segmentation, dynamic content). · Ability to interpret journey insights and behavioral data to refine communications. · Attention to detail, quality control, and adherence to communication standards. · Ability to manage multiple communication streams simultaneously. · Ability to work autonomously and in a team environment. · Strong interpersonal skills and ability to collaborate effectively with cross-functional teams. · Strong judgment, and focus on delivering clear, accurate, and effective customer communications. · Ability to identify process improvement opportunities and recommend practical changes when appropriate. WORK ENVIRONMENT Employees in this class are subject to extended periods of sitting, standing and walking, and using a computer. Work is performed in an office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Lifecycle Communications Manager at Hyundai Capital America", "createdAt" : "2026-06-14T19:04:41.106", "lastUpdated" : "2026-06-16T06:40:29.812", "ingestTimestamp" : "2026-06-14T19:04:41.106", "mongoId" : "6a1ae88e58b93c861e9b23f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6aa474d8ee00a090d0bf", "title" : "Product Manager (Data)", "company" : "Kaluza", "industry" : "Climate Tech", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Mid-level Product Manager (Data) in London, United Kingdom, adjusted for the technology industry and company size." }, "location" : "Bristol, England, United Kingdom", "locations" : [ "Bristol", "England", "United Kingdom", "London", "England", "United Kingdom", "Paris", "Paris", "France" ], "timestamp" : "2026-06-15T13:34:03.371", "fingerprint" : "ea79bbb0711f1116eb2deb6959fc89afb61663ae79b39d49c28dceef92513221", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.kaluza.com/job?gh_jid=4821398101", "externalId" : "4821398101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "city" : "Bristol", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.4538022,-2.5972985" }, { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.8588897,2.3200410" } ], "locationText" : "London, England, United Kingdom; Bristol, England, United Kingdom; Paris, France", "technicalSkills" : "Data models", "professionalSkills" : [ "Stakeholder management", "Product strategy", "Roadmap planning", "Client engagement", "Requirements documentation", "Backlog prioritization", "Product adoption", "Training delivery", "Domain integration", "Data model contribution", "Metrics building", "Transparency", "Effective communication" ], "hardSkillsList" : [ "Data product implementation", "Agile methodology" ], "softSkillsList" : [ "Problem solver" ], "hardSkills" : [ { "name" : "Data product implementation", "level" : "intermediate" }, { "name" : "Agile methodology", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solver" } ], "majorSkills" : "Data products, Product rollout, Client requirements", "majorSkillsList" : [ "Data products", "Product rollout", "Client requirements" ], "coreResponsibilities" : "Lead data products rollout, Articulate data products, Document client requirements, Align requirements with roadmap, Refine backlog items, Prioritize backlog items, Deliver client solutions, Drive product adoption, Create technical documentation, Communicate releases, Deliver training sessions, Understand Kaluza product areas, Unlock value with data, Contribute to data model, Extend data model, Maintain data model, Build product metrics, Measure product metrics, Nurture data learning culture, Radiate information, Improve transparency, Communicate effectively", "teamCollaboration" : "Cross-functional teams; Client subject-matter experts; Internal audiences; External audiences", "projectManagementSkills" : [ "Agile", "Roadmap" ], "domainKnowledge" : "Energy Intelligence; Billing & Payments; Customer Care; Energy Commerce; Energy Optimisation", "domainList" : [ "energy-intelligence", "billing-payments", "customer-care", "energy-commerce", "energy-optimisation" ], "domainSpecificKnowledge" : [ "Energy Intelligence", "Billing & Payments", "Customer Care", "Energy Commerce", "Energy Optimisation" ], "communicationSkills" : "Written communication; Visual communication; Technical audiences; Commercial audiences", "documentationSkills" : "Technical documentation", "continuousLearning" : "Personal learning budget; Home office budget", "problemSolvingSkills" : "Problem solver; Tenacious problem solver", "outcomesObjectives" : "Drive value for clients", "qualificationsBasic" : "3+ years Product Manager experience, Experience on data platforms/products, Experience with enterprise product rollouts, Experience with localized deployments, Right to work in UK or France", "qualificationsPreferred" : "French speaker preference, Comfortable in fast-paced environment, Global data ownership opportunity", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Product Manager (Data) Location: London, Bristol or Paris (Hybrid) Team: Data Products Reporting To: Director of Product This role is based in London, Bristol or Paris and requires existing right to work in the UK or France. At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today's challenges while accelerating the shift to a clean, electrified future. Leveraging Data, AI, and real-time decision-making we turn energy complexity into growth opportunities for our partners. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable and affordable. With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen. What will I be doing? As the Product Manager for Data Product Implementation, your primary responsibility is to successfully lead the data products rollout for a key Kaluza client. You will work closely with engineers and experts in the Kaluza Data Product team, other Kaluza domain Implementation leads, and relevant client subject-matter experts to ensure that our data model and products are localised to meet our client's needs. Responsibilities include: Client Engagement: Articulate Kaluza data products and data models to our key clients. Requirements & Roadmap: Document and translate client requirements for data products and align them with the global product roadmap priorities. Development Support: Support development by refining and prioritising backlog items and work with software engineers to deliver solutions that drive value for clients. Product Adoption: Drive product adoption through the creation of technical documentation, release communications, and delivering training sessions for client stakeholders. Domain Integration: Gain a broad understanding of various Kaluza Product areas—Billing & Payments, Customer Care, Energy Commerce and Energy Optimisation—and how data products can unlock value in each. Data Model Contribution: Be a key contributor to Kaluza's global data model with the potential to own its extension and maintenance for all clients. Metrics & Culture: Work with the team to build and measure the right metrics for product success and nurture a culture of learning from data. Communication: Radiate information, improve transparency and communicate effectively to internal and external audiences. About You Ideally you'll have/be: Technical Experience: 3+ years experience as an agile Product Manager working on data platforms/products. Rollout Experience: Experience supporting large-scale enterprise product rollouts, especially on \"edge\" / localised deployments of a global product. Stakeholder Management: You excel at managing stakeholders, with the ability to value and juggle competing priorities and influence decisions at all levels of the organisation. Communication Skills: You excel at written and visual communication to both technical and commercial audiences. Problem Solver: You are a patient and tenacious problem solver who is willing to roll up their sleeves to learn and understand a domain despite limited knowledge or experience in it. Collaborative Nature: You are a team player who embraces collaboration and knowledge sharing within your team and across different teams. What will set you apart Language Skills: A strong preference for a French speaker to support our implementations with key global clients. Adaptability: You are comfortable working in a fast-paced, dynamic environment where fast iteration and experimentation are the norm. Global Vision: The opportunity to own and extend our global data, shaped by your implementation experience. Kaluza Values Here at Kaluza we have five core values that guide us as a business: Play to win, Solve the real problem, Build trust every day, Own the outcome, Go further together From us you’ll get Pension Scheme Discretionary Bonus Scheme Private Medical Insurance + Virtual GP Life Assurance Access to Furthr - a Climate Action app Free Mortgage Advice and Eye Tests Perks at Work - access to thousands of retail discounts 5% Flex Fund to spend on the benefits you want most 26 days holiday Flexible bank holidays, giving you an additional 8 days which you can choose to take whenever you like Progressive leave policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family Dedicated personal learning and home office budgets And more… Even better? You’ll have access to these benefits from day 1 when you join. We want the best people We’re keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential. We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you. Find out more about working at Kaluza on our careers page and LinkedIn. You can also find our Applicant Data Protection Policy here.", "summaryDescription" : "Product Manager (Data) at Kaluza. Skills: Data products, Product rollout, Client requirements. Lead data products rollout. Articulate data products", "postedDate" : "2026-06-14T07:55:12.566", "createdAt" : "2026-06-14T07:55:12.566", "lastUpdated" : "2026-06-15T13:34:03.371", "ingestTimestamp" : "2026-06-14T07:55:12.566", "mongoId" : "6a2c6aa474d8ee00a090d0bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data product implementation", "Agile methodology", "Problem solver", "Data products", "Product rollout", "Client requirements", "Stakeholder management", "Product strategy", "Roadmap planning", "Client engagement", "Requirements documentation", "Backlog prioritization", "Product adoption", "Training delivery", "Domain integration", "Data model contribution", "Metrics building", "Transparency", "Effective communication", "Agile", "Roadmap", "Energy Intelligence", "Billing & Payments", "Customer Care", "Energy Commerce", "Energy Optimisation" ], "skillCount" : 26, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3079c4f292fd229c034e87", "title" : "Senior Manager, Lifecycle Marketing", "industry" : "Lifecycle Marketing", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager, Lifecycle Marketing in the US SaaS industry, adjusted for remote work and manager-level experience." }, "location" : "Remote, United States", "locations" : [ "Remote, United States" ], "timestamp" : "2026-06-16T12:16:53.324", "fingerprint" : "87d357fe2fb32f30b58d3fcabba74c117f31c59c7f510fff26fad19356781fb5", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/wpromote/081a5475-a765-4058-a653-8bbe188dd86f/apply", "externalId" : "081a5475-a765-4058-a653-8bbe188dd86f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceLevel" : "Manager", "technicalSkills" : "Klaviyo, Attentive, Hubspot, SFMC, Pardot, Marketo, Braze, GA4", "professionalSkills" : [ "Client Communications", "Customer journey strategies", "Performance data analysis", "Lifecycle best practices", "Segmentation strategies", "Automation strategies", "Personalization strategies", "Testing plans", "Campaign optimization", "Data governance", "Audience targeting", "Journey orchestration", "Measurement" ], "hardSkillsList" : [ "Lifecycle marketing", "CRM", "Retention marketing", "Email marketing", "Marketing automation", "Omnichannel marketing", "SMS marketing", "Push notifications", "Loyalty programs", "Direct mail", "Deliverability", "Compliance", "Consent management", "UTM tracking" ], "softSkillsList" : [ "Proactive mindset" ], "hardSkills" : [ { "name" : "Lifecycle marketing", "level" : "intermediate" }, { "name" : "CRM", "level" : "intermediate" }, { "name" : "Retention marketing", "level" : "intermediate" }, { "name" : "Email marketing", "level" : "intermediate" }, { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "Omnichannel marketing", "level" : "intermediate" }, { "name" : "SMS marketing", "level" : "intermediate" }, { "name" : "Push notifications", "level" : "intermediate" }, { "name" : "Loyalty programs", "level" : "intermediate" }, { "name" : "Direct mail", "level" : "intermediate" }, { "name" : "Deliverability", "level" : "intermediate" }, { "name" : "Compliance", "level" : "intermediate" }, { "name" : "Consent management", "level" : "intermediate" }, { "name" : "UTM tracking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Proactive mindset" } ], "majorSkills" : "Lifecycle marketing, CRM, Marketing automation, Client relationship management", "majorSkillsList" : [ "Lifecycle marketing", "CRM", "Marketing automation", "Client relationship management" ], "coreResponsibilities" : "Manage lifecycle marketing programs, Support customer journey strategies, Serve as strategic partner, Provide recommendations, Lead reporting, Lead campaign reviews, Lead performance discussions, Identify opportunities to improve lifecycle performance, Design and optimize lifecycle programs, Build scalable segmentation strategies, Build scalable automation strategies, Build and optimize automated lifecycle campaigns, Support clients in expanding programs, Ensure best practices in deliverability, Ensure best practices in compliance, Ensure best practices in consent management, Ensure best practices in data governance, Develop and execute testing plans, Monitor campaign performance, Identify optimization opportunities, Create recurring reports, Present key insights, Present recommendations, Track lifecycle KPIs, Monitor deliverability, Monitor account reputation, Leverage AI capabilities", "teamCollaboration" : "Partnering with analytics teams; Partnering with engineering teams; Partnering with paid media teams; Partnering with data teams", "domainKnowledge" : "Customer journey; Customer segmentation; Personalization; Automation; Email marketing; SMS marketing; Push notifications; Loyalty programs; Direct mail; Deliverability; CAN-SPAM; GDPR; Data governance", "domainList" : [ "customer-journey", "customer-segmentation", "personalization", "automation", "email-marketing", "sms-marketing", "push-notifications", "loyalty-programs", "direct-mail", "deliverability", "can-spam", "gdpr", "data-governance" ], "domainSpecificKnowledge" : [ "Customer journey", "Customer segmentation", "Personalization", "Automation", "Email marketing", "SMS marketing", "Push notifications", "Loyalty programs", "Direct mail", "Deliverability", "CAN-SPAM", "GDPR", "Data governance" ], "toolProficiency" : [ "Klaviyo", "Attentive", "Hubspot", "SFMC", "Pardot", "Marketo", "Braze", "GA4" ], "communicationSkills" : "Verbal communication; Written communication; Client presentations", "innovationCreativity" : "Develop new strategic ideas", "problemSolvingSkills" : "Identify opportunities; Optimize lifecycle performance; Testing; Optimization; Analytics", "outcomesObjectives" : "Drive engagement; Drive retention; Drive revenue growth", "qualificationsBasic" : "4+ years of experience in lifecycle marketing, Experience executing and optimizing lifecycle marketing programs, Understanding of customer segmentation, Experience managing client relationships, Experience presenting campaign performance, Experience with web analytics, Ability to hit the ground running", "qualificationsPreferred" : "Experience with AI capabilities", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## You Will Be Lifecycle Marketing Strategy & Client Communications Managing lifecycle marketing programs across a portfolio of mid-market and enterprise clients. Supporting the development and execution of customer journey strategies focused on acquisition, engagement, retention, and reactivation. Serving as a strategic partner to client stakeholders by providing recommendations informed by performance data and lifecycle best practices. Leading regular reporting, campaign reviews, and performance discussions with clients. Identifying opportunities to improve lifecycle performance through segmentation, automation, personalization, and testing. CRM & Omnichannel Marketing Designing and optimizing lifecycle programs across email, SMS, push notifications, loyalty, direct mail, and emerging channels. Building scalable segmentation, personalization, and automation strategies. Building and optimizing automated lifecycle campaigns, including welcome, nurture, cart abandonment, post-purchase, win-back programs, and more. Supporting clients in expanding and optimizing their lifecycle marketing and automation programs. Ensuring best practices in deliverability, compliance, consent management, and data governance. Testing, Optimization & Analytics Developing and executing testing plans across messaging, creative, audience segments, and campaign cadence. Monitoring campaign performance and identifying optimization opportunities. Creating recurring reports and presenting key insights and recommendations to clients. Tracking lifecycle KPIs, including engagement, conversion, retention, and revenue. Monitoring deliverability and account reputation in-line with CAN-SPAM & GDPR. Leveraging AI capabilities to streamline processes and develop new strategic ideas. Martech & CRM Expertise Working hands-on in ESP platforms such as Klaviyo, Attentive, Hubspot, SFMC, or others (we’re platform agnostic). Partnering with analytics, engineering, paid media, and data teams to improve audience targeting, journey orchestration, and measurement. ## You Must Have 4+ years of experience in lifecycle marketing, CRM, retention marketing, email marketing, or marketing automation using platforms such as SFMC, Pardot, Marketo, Klaviyo, Attentive, Braze, etc. Experience executing and optimizing lifecycle marketing programs across multiple stages of the customer journey. Strong understanding of customer segmentation, personalization, retention, and loyalty strategies. Excellent verbal and written communication skills with a proactive mindset. Experience contributing to lifecycle marketing programs that drive engagement, retention, and revenue growth. Experience managing client relationships and presenting campaign performance and recommendations. Experience with web analytics (GA4, etc) and setting up UTM tracking. Ability to hit the ground running and pick up new skills.", "summaryDescription" : "Senior Manager, Lifecycle Marketing. Skills: Lifecycle marketing, CRM, Marketing automation, Client relationship management. Manage lifecycle marketing programs. Support customer journey strategies", "postedDate" : "2026-06-15T15:14:07.249", "createdAt" : "2026-06-15T15:14:07.249", "lastUpdated" : "2026-06-16T12:16:53.324", "ingestTimestamp" : "2026-06-16T03:24:46.923", "mongoId" : "6a3079c4f292fd229c034e87", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Lifecycle marketing", "CRM", "Retention marketing", "Email marketing", "Marketing automation", "Omnichannel marketing", "SMS marketing", "Push notifications", "Loyalty programs", "Direct mail", "Deliverability", "Compliance", "Consent management", "UTM tracking", "Proactive mindset", "Client relationship management", "Client Communications", "Customer journey strategies", "Performance data analysis", "Lifecycle best practices", "Segmentation strategies", "Automation strategies", "Personalization strategies", "Testing plans", "Campaign optimization", "Data governance", "Audience targeting", "Journey orchestration", "Measurement", "Customer journey", "Customer segmentation", "Personalization", "Automation", "CAN-SPAM", "GDPR", "Klaviyo", "Attentive", "Hubspot", "SFMC", "Pardot", "Marketo", "Braze", "GA4" ], "skillCount" : 43, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210e2174d8ee00a0af5d94", "title" : "Product Data Scientist, Search", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Data Scientist in Mountain View, CA, adjusted for the technology industry and onsite work mode." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T12:16:36.045", "fingerprint" : "36cd2a2043f78816521e963407af852aa8683393795b3245ae0dcf4bd0c22e62", "source" : "google", "language" : "en", "externalId" : "106924190140900038", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "technicalSkills" : "Python, R, SQL, Machine Learning, Data Mining, Statistical Modeling, A/B Testing, Cloud Platforms, AWS, GCP, Azure, Search Relevance, Ranking Systems", "professionalSkills" : [ "Data analysis", "Problem-solving", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning modeling", "Data manipulation", "Experiment design" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Statistical Modeling, Data Analysis, Search Relevance", "majorSkillsList" : [ "Machine Learning", "Statistical Modeling", "Data Analysis", "Search Relevance" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and maintain data pipelines, Analyze large datasets, Conduct A/B tests, Develop metrics and dashboards, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product managers; Stakeholders", "domainKnowledge" : "Search relevance; Ranking algorithms; Information retrieval; User behavior analysis", "domainList" : [ "search-relevance", "ranking-algorithms", "information-retrieval", "user-behavior-analysis" ], "domainSpecificKnowledge" : [ "Search relevance", "Ranking algorithms", "Information retrieval", "User behavior analysis" ], "toolProficiency" : [ "Spark", "Hadoop", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "outcomesObjectives" : "Improve search relevance; Enhance user experience; Drive product innovation", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with large-scale data processing systems, Experience with machine learning frameworks, Experience with cloud platforms (AWS, GCP, Azure), Experience with search relevance or ranking systems", "summaryDescription" : "Product Data Scientist, Search. Skills: Machine Learning, Statistical Modeling, Data Analysis, Search Relevance. Design and implement machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-16T01:48:13.922", "createdAt" : "2026-06-16T01:48:13.922", "lastUpdated" : "2026-06-16T12:16:36.045", "ingestTimestamp" : "2026-06-16T01:48:13.922", "mongoId" : "6a210e2174d8ee00a0af5d94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning modeling", "Data manipulation", "Experiment design", "Machine Learning", "Statistical Modeling", "Data Analysis", "Search Relevance", "Data analysis", "Problem-solving", "Quantitative analysis", "Search relevance", "Ranking algorithms", "Information retrieval", "User behavior analysis", "Spark", "Hadoop", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Looker" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7d6174d8ee00a094fa9a", "title" : "Lifecycle CRM Manager", "company" : "THG", "industry" : "E-Commerce", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Lifecycle CRM Manager in Manchester, UK, adjusted for the e-commerce industry and company size." }, "location" : "Manchester, England, United Kingdom", "locations" : [ "Manchester", "England", "United Kingdom" ], "timestamp" : "2026-06-15T13:49:49.410", "fingerprint" : "6ea773fb325b9b892aa593203f5f8523eed97819d6e266a1b98526f67bd44fa0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.thg.com/talent/job-search?gh_jid=4869803101", "externalId" : "4869803101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manchester", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.4424618,-2.2324547" } ], "locationText" : "Manchester, England, United Kingdom", "experienceLevel" : "Manager", "majorSkills" : "Customer lifecycle management, CRM channels, Data-led marketing, Multi-channel marketing", "majorSkillsList" : [ "Customer lifecycle management", "CRM channels", "Data-led marketing", "Multi-channel marketing" ], "coreResponsibilities" : "Own end-to-end customer lifecycle, Define and optimise key lifecycle moments, Identify opportunities to improve customer lifetime value", "domainKnowledge" : "Sports nutrition; Customer retention; Repeat purchase behaviour; Customer lifetime value", "domainList" : [ "sports-nutrition", "customer-retention", "repeat-purchase-behaviour", "customer-lifetime-value" ], "domainSpecificKnowledge" : [ "Sports nutrition", "Customer retention", "Repeat purchase behaviour", "Customer lifetime value" ], "outcomesObjectives" : "Drive retention; Drive repeat purchase; Drive lifetime value", "qualificationsBasic" : "Own end-to-end customer lifecycle, Define and optimise key lifecycle moments, Identify opportunities to improve customer lifetime value", "remoteFriendly" : false, "rawDescription" : "About THG We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition. Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition. From Manchester to New York, we’re powered by a team of over 2500 people who work together, lead by example, and think BIG. With us, you’ll go further, faster. What are you waiting for? Role: Lifecycle CRM Manager Brand / Business Unit: CRM | Myprotein Reporting to: Head of Retention to power and empower those who want more. Role Overview The Lifecycle Campaign Manager is responsible for owning and optimising the full customer lifecycle across CRM channels for Myprotein within THG Nutrition, driving retention, repeat purchase, and lifetime value through data-led, multi-channel marketing at scale. Key Responsibilities Lifecycle Ownership Own the end-to-end customer lifecycle across acquisition, onboarding, retention and reactivation Define and optimise key lifecycle moments that drive engagement, loyalty and repeat purchase behaviour Identify opportunities to improve customer lifetime value across the full funnel Segmentation you just need to let us know what support you need or changes you need to make. If you’re not sure, we can work with you to explore the available options. THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability. THG is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community. Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our Talent team to discuss further.", "summaryDescription" : "Lifecycle CRM Manager at THG. Skills: Customer lifecycle management, CRM channels, Data-led marketing, Multi-channel marketing. Own end-to-end customer lifecycle. Define and optimise key lifecycle moments", "postedDate" : "2026-06-14T04:36:17.376", "createdAt" : "2026-06-14T04:36:17.376", "lastUpdated" : "2026-06-15T13:49:49.410", "ingestTimestamp" : "2026-06-14T04:36:17.376", "mongoId" : "6a2c7d6174d8ee00a094fa9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Customer lifecycle management", "CRM channels", "Data-led marketing", "Multi-channel marketing", "Sports nutrition", "Customer retention", "Repeat purchase behaviour", "Customer lifetime value" ], "skillCount" : 8, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb00d74d8ee00a09d8a35", "title" : "Product Data Analyst", "company" : "Hostinger", "industry" : "Revenue & Data", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Product Data Analyst in the Technology industry, adjusted for mid-seniority level and remote work." }, "location" : "Poland", "locations" : [ "Poland", "Poland", "Spain", "Spain", "Spain", "Spain" ], "timestamp" : "2026-06-15T03:33:28.621", "fingerprint" : "4aa3824018525ee7fc12a84d3a9b40194692317643768c1fc183b8171846dd07", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hostinger/7e22c963-6033-43e1-a0ad-f107256d2069/application", "externalId" : "7e22c963-6033-43e1-a0ad-f107256d2069", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Tableau, Amplitude, Python, R", "professionalSkills" : [ "Data analysis", "Data visualization", "Business intelligence", "Product analysis" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "SQL optimization", "A/B testing", "User journey analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "User journey analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis, SQL, Tableau, A/B testing", "majorSkillsList" : [ "Data analysis", "SQL", "Tableau", "A/B testing" ], "coreResponsibilities" : "Partner with Product teams, Analyze user journeys, Conduct A tests, Extract data using SQL, Analyze data using SQL, Build dashboards, Create visualizations, Surface new insights, Provide business recommendations, Collaborate with Data Platform team, Ensure data availability, Ensure efficient processes, Ensure project execution, Analyze AI-Powered Marketing Tool Users, Analyze product usage, Analyze user segments, Analyze conversions, Refine product approach, Shape product future, Perform user flow analysis, Perform A testing, Analyze AI WebMail Clients Engagement, Analyze customer behavior patterns, Provide strategic clarity, Shape email solutions, Optimize Client Referral Program, Refine commission frameworks, Architect partnership strategies, Build client connections, Empower Innovation Team, Enrich ideas with data, Provide strategic guidance, Scale business opportunities, Define Product Adoption Success, Analyze product usage patterns, Analyze customer behavior, Provide strategic recommendations, Elevate Hostinger experience", "teamCollaboration" : "Partner with Product teams; Collaborate with Data Platform team; Work with data engineers; Work with analytics engineers; Work with cross-functional teams", "domainKnowledge" : "Product analytics; AI-powered tools; WebMail clients; Referral programs; Business opportunities", "domainList" : [ "product-analytics", "ai-powered-tools", "webmail-clients", "referral-programs", "business-opportunities" ], "domainSpecificKnowledge" : [ "Product analytics", "AI-powered tools", "WebMail clients", "Referral programs", "Business opportunities" ], "toolProficiency" : [ "SQL", "Tableau", "Amplitude", "Lumos" ], "communicationSkills" : "Explain complex data", "continuousLearning" : "Limitless learning opportunities; Access to platforms; Global conferences; Feedback culture; Digital libraries; Industry subscriptions; Internal mobility", "innovationCreativity" : "Bring ideas to life", "problemSolvingSkills" : "Turn raw data into insights", "outcomesObjectives" : "Drive business impact", "qualificationsBasic" : "2+ years experience, Hands-on SQL expertise, Experience with A testing, User journey analysis experience", "qualificationsPreferred" : "Experience with Amplitude, Experience with Python, Experience with R, Knowledge of statistical concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Join Hostinger, and we’ll grow fast! \uD83D\uDE80 We’re shaping the future of online success - powered by AI and driven by people. With 900+ talented professionals and over 5 million clients in 150 countries, we help creators and entrepreneurs bring their ideas to life faster and easier than ever before. Our mission: To provide tools that help individuals and small businesses succeed online faster and easier. Our culture: Guided by 10 company principles https://www.hostinger.com/principles. Our formula for success: Customer obsession, innovative products, and talented teams. Your day-to-day: - Partner with Product teams to tackle challenges, reveal untapped potential, challenge status-quo and empower data-driven choices. - Use Amplitude to analyse user journeys and conduct A/B tests. - Use SQL and Tableau to extract and analyze data. - Build dashboards that make an impact - create powerful visualizations that give teams at Hostinger the visibility and confidence to take action, while ensuring data integrity and validity. - Use Lumos - our internal AI data agent to surface new insights and business recommendations. - Collaborate with our top-notch Data Platform team - work closely with data engineers and analytics engineers to ensure data availability, efficient processes and successful project execution. Real projects you might work on: - Analysing AI-Powered Marketing Tool Users - our AI-powered Reach Team needs to understand product usage, user segments and conversions. Your insights could help us refine our approach and shape the future of Hostinger's Reach product. If you want to go the extra mile - some product-related user flow analysis and A/B testing would be welcome too! - Decoding AI WebMail Clients Engagement - our Mail Team is rapidly evolving the communication experience, and they require deep analytical support to fuel their growth. You will dive into customer behavior patterns, providing the strategic clarity needed to shape the next generation of Hostinger’s email solutions through data-backed innovation. - Optimizing Our Client Referral Program - As this initiative scales rapidly, your data-driven expertise will be essential in refining our commission frameworks. You will help us architect high-impact partnership strategies, ensuring we build deeper, more rewarding connections with our global client base. - Empowering Our Innovation Team - Innovation is at the core of our success. As we explore diverse new ventures, your analytical expertise will be vital in enriching these ideas with data. You will provide strategic guidance to Product Managers on whether and how to scale emerging business opportunities effectively. - Defining Product Adoption Success - We want to ensure our clients navigate our tools seamlessly and reach their objectives with ease. You will dive deep into product usage patterns and customer behavior, providing strategic recommendations to elevate the overall Hostinger experience through data-driven improvements. - And many more, depending on your skills, interests and business needs. Your skills and experience: - 2+ years of experience in a product analyst, data analyst, business analyst or similar role. - Experience with A/B testing and user journey analysis. - Hands-on SQL expertise - you can write queries, create and optimize dashboard models. Basically, Claude asks you to check queries. - Proficiency in data visualization tools - we use Tableau, but experience with other tools works too. - A results-driven mindset - you love turning raw data into clear, actionable insights that drive business impact. - Strong communication & collaboration skills - you can explain complex data in a simple way and work well with cross-functional teams. - Bonus: Experience with Amplitude or other product analytics tools. - Extra points for: experience with Python or R for data analysis, A/B testing experience or knowledge of statistical concepts. Benefits for you: - \uD83D\uDE80 360 Growth: We provide limitless learning opportunities https://www.hostinger.com/blog/learning-culture: access to platforms like Reforge and CoachHub, global conferences, feedback culture https://www.hostinger.com/blog/reaching-your-peak, digital libraries, and industry-leading subscriptions. Advance your career with internal mobility, and grow with a team eager to share knowledge and support your success. - \uD83C\uDFAF Freedom & responsibility: Work on your terms, whether from the comfort of home or anywhere in the world. With a home office budget, you can elevate your workspace. Enjoy the flexibility to manage your schedule while bringing your ideas to life in a fast-paced, dynamic environment. - \uD83D\uDCAA Wellness simplified: Your health comes first with company-provided sick days, 20 paid suspension days, Headspace https://www.headspace.com/ subscriptions, and recharge leave. Participate in wellbeing-dedicated events and simply enjoy the balance of a lifestyle that prioritizes wellness. - \uD83C\uDF89 Work hard - party hard: Recognize hard work with company events like Town Hall, Meet the Client initiatives, team-building experiences, and workations. Celebrate life’s big moments with milestone gifts for weddings, new parenthood, and graduations. Compensation: We’re looking for people who can make a meaningful impact, and we recognize that different levels of experience bring different levels of value. Compensation for this role will be discussed throughout the hiring process and tailored based on your skills, experience, and potential contribution to the team. Get ready to take your personal and professional growth to new heights! Join Hostinger today and be part of our journey \uD83D\uDE80 Three. Two. Onboard", "summaryDescription" : "Product Data Analyst at Hostinger. Skills: Data analysis, SQL, Tableau, A/B testing. Partner with Product teams. Analyze user journeys", "createdAt" : "2026-06-14T02:17:14.637", "lastUpdated" : "2026-06-15T03:33:28.621", "ingestTimestamp" : "2026-06-14T02:17:14.637", "mongoId" : "6a2cb00d74d8ee00a09d8a35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data visualization", "SQL optimization", "A/B testing", "User journey analysis", "SQL", "Tableau", "Business intelligence", "Product analysis", "Product analytics", "AI-powered tools", "WebMail clients", "Referral programs", "Business opportunities", "Amplitude", "Lumos" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a25145374d8ee00a00bb38a", "title" : "ID - Rack Lifecycle Tech, Rack Lifecycle Team", "company" : "ADSIPL", "industry" : "Operations, IT, Support Engineering, Data Center Operations, Cloud Computing", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Rack Lifecycle Technician in Mumbai, India, with 4+ years of experience in the Technology industry, adjusted for company size and full-time employment." }, "location" : "Mumbai, Maharashtra, IND", "locations" : [ "Mumbai, Maharashtra, IND" ], "timestamp" : "2026-06-15T03:19:21.098", "fingerprint" : "22c0e49f6bcaac2944918d50613081f4b8ac77103d128ec578f201ebdedb1177", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440418/apply", "externalId" : "963a5f81-e8b9-4a52-acc6-fe7c435ea82f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mumbai", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "19.0549990,72.8692035" } ], "locationText" : "Mumbai, Maharashtra, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "technicalSkills" : "AWS, CMDB, DCIM, IPAM", "professionalSkills" : [ "Supply chain support", "Inventory management", "Quality checks", "Site inventory records", "Cycle count activities", "Material handling", "Reverse logistics" ], "hardSkillsList" : [ "Structured cabling", "Rack installation", "Cable management", "Power connections", "Grounding", "Fiber terminations", "Copper terminations", "Patch panel connections", "Labeling", "OTDR", "Power validation", "EHS protocols", "Lockout/tagout", "Work order execution", "As-built documentation", "Port map verification", "BOM validation", "Asset de-tagging", "Rack extraction", "Device wipe", "Media destruction", "Asset staging", "RMA processing", "Secure disposal", "Space validation", "Power validation", "Cooling capacity validation" ], "hardSkills" : [ { "name" : "Structured cabling", "level" : "intermediate" }, { "name" : "Rack installation", "level" : "intermediate" }, { "name" : "Cable management", "level" : "intermediate" }, { "name" : "Power connections", "level" : "intermediate" }, { "name" : "Grounding", "level" : "intermediate" }, { "name" : "Fiber terminations", "level" : "intermediate" }, { "name" : "Copper terminations", "level" : "intermediate" }, { "name" : "Patch panel connections", "level" : "intermediate" }, { "name" : "Labeling", "level" : "intermediate" }, { "name" : "OTDR", "level" : "intermediate" }, { "name" : "Power validation", "level" : "intermediate" }, { "name" : "EHS protocols", "level" : "intermediate" }, { "name" : "Lockout/tagout", "level" : "intermediate" }, { "name" : "Work order execution", "level" : "intermediate" }, { "name" : "As-built documentation", "level" : "intermediate" }, { "name" : "Port map verification", "level" : "intermediate" }, { "name" : "BOM validation", "level" : "intermediate" }, { "name" : "Asset de-tagging", "level" : "intermediate" }, { "name" : "Rack extraction", "level" : "intermediate" }, { "name" : "Device wipe", "level" : "intermediate" }, { "name" : "Media destruction", "level" : "intermediate" }, { "name" : "Asset staging", "level" : "intermediate" }, { "name" : "RMA processing", "level" : "intermediate" }, { "name" : "Secure disposal", "level" : "intermediate" }, { "name" : "Space validation", "level" : "intermediate" }, { "name" : "Power validation", "level" : "intermediate" }, { "name" : "Cooling capacity validation", "level" : "intermediate" } ], "majorSkills" : "Rack installation, Structured cabling, Data center operations", "majorSkillsList" : [ "Rack installation", "Structured cabling", "Data center operations" ], "coreResponsibilities" : "Execute rack installations, Perform structured cabling, Complete OTDR and power validate results, Follow all EHS protocols, Execute work orders and tasks, Maintain accurate status updates, Perform quality checks on completed cabling work, Update as-built documentation, Identify and escalate issues, blockers, or deviations, Support deployment wave readiness, Receive, verify, and stage incoming rack, cable, optics,, Validate against BOM, Maintain accurate site inventory records, Support cycle count activities, Assist in identifying inventory shortfalls, Complete all required as-built documentation, Update CMDB/DCIM and IPAM records, Ensure handoffs are clean and fully documented, Execute physical decommission activities, Perform device wipe and media destruction, Sort, label, and stage recovered assets, Update DCIM/CMDB, IPAM, and port maps post-decom, Validate that reclaimed U-space, power, and cooling capacity, Adhere to all site-level SOPs, Adhere to quality standards, Prepare SOP’s with new processes, Manage stakeholders with cross functional teams", "teamCollaboration" : "Cross-functional teams; Data Center Operations", "domainKnowledge" : "Data center infrastructure; Physical infrastructure installation; Rack lifecycle management; AWS Secure Media Destruction; AWS Reverse Logistics", "domainList" : [ "data-center-infrastructure", "physical-infrastructure-installation", "rack-lifecycle-management", "aws-secure-media-destruction", "aws-reverse-logistics" ], "domainSpecificKnowledge" : [ "Data center infrastructure", "Physical infrastructure installation", "Rack lifecycle management", "AWS Secure Media Destruction", "AWS Reverse Logistics" ], "toolProficiency" : [ "Boost", "MARS" ], "documentationSkills" : "As-built documentation; Port maps; Test result records", "specialRequirements" : "Physical installation, Cabling, Handoff, Decommissioning", "qualificationsBasic" : "Bachelor's degree in Information Technology, Computer Science, or a related field, 4+ years of experience in data center operations, structured cabling, or physical infrastructure installation, Familiarity with data center rack installation including physical placement, power connections, and grounding", "qualificationsPreferred" : "Experience dealing effectively with customers during problem resolution, Operating efficiently under pressure, Experience with cabling infrastructure best practices and methodologies, Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment), Experience working in a hyperscale or high-volume data center deployment environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We are looking for a detail-oriented, technically skilled Rack Lifecycle Tech to join our Rack Lifecycle Team within AWS Infrastructure Operations. In this individual contributor role, you will be a hands-on executor responsible for the physical installation, cabling, handoff, and decommissioning of racks across your assigned data center site. You are the person on the floor who turns capacity plans into operational reality. As an Rack Lifecycle Tech, you will execute structured cabling, rack installation, and decommission activities with precision and to standard — following established SOPs, escalating deviations to your team lead, and ensuring every rack you touch is installed correctly, cabled to specification, fully documented, and handed off with zero blockers, prepare SOP’s with new processes, stake holder management with cross functional teams. This is an individual contributor role with no people management responsibilities. Key job responsibilities \uD83D\uDD37 Rack Installation & Cabling · Execute rack installations including physical placement, power connections, grounding, and cable management per AWS standards and MOPs · Perform structured cabling including fiber/copper terminations, patch panel connections, labeling, and dressing to specification · Complete OTDR and power testing; validate results against acceptance thresholds; escalate failures to team lead promptly rather than self-resolving outside approved procedures · Follow all EHS protocols, lockout/tagout (LOTO) procedures, and safe work practices during installation activities \uD83D\uDD37 Rack Lifecycle Operations · Execute work orders and tasks assigned by the Rack Lifecycle Team Manager under direct manager direction, maintaining accurate status updates in workflow management tools (e.g., Boost, MARS) · Perform quality checks on completed cabling work including port map verification, label accuracy, and as-built documentation updates in CMDB/DCIM · Identify and escalate issues, blockers, or deviations from SOPs encountered during task execution to the team lead or manager promptly; do not self-resolve outside approved procedures · Support deployment wave readiness by participating in pre-work site walks, material staging, and tool preparation \uD83D\uDD37 Material Handling & Supply Chain Support · Receive, verify, and stage incoming rack, cable, optics, and hardware deliveries; validate against BOM and flag discrepancies · Maintain accurate site inventory records for cables, optics, patch cords, and consumables used during deployments · Support cycle count activities and assist in identifying inventory shortfalls that may impact deployment timelines \uD83D\uDD37 Handover & Documentation · Complete all required as-built documentation, port maps, test result records, and workflow sign-offs before handoff to Data Center Operations · Update CMDB/DCIM and IPAM records accurately following rack installation or decommission activities · Ensure handoffs are clean and fully documented with zero open blockers, enabling smooth transition to the next lifecycle phase \uD83D\uDD37 Rack Decommissioning · Execute physical decommission activities per assigned MOPs — including cable removal, power disconnects, asset de-tagging, and rack extraction · Perform device wipe and media destruction in compliance with AWS Secure Media Destruction and EHS policies · Sort, label, and stage recovered assets (optics, cables, PDUs, hardware) for RMA, redeployment, or secure disposal per AWS Reverse Logistics policy · Update DCIM/CMDB, IPAM, and port maps post-decom to ensure accurate space, power, and circuit records · Validate that reclaimed U-space, power, and cooling capacity is accurately recorded in the available pool \uD83D\uDD37 Quality, Safety & Compliance · Adhere to all site-level SOPs, quality standards, and governance frameworks for cabling, installation, and decommission activities · Complete all required safety training and certifications; participate in regular EHS audits and team safety briefings · Contribute to continuous improvement by identifying recurring quality issues, suggesting process improvements, and sharing feedback with the Rack Lifecycle Team Manager · Use Rack Lifecycle Team tooling (e.g., Boost, MARS, ALM/DCLM) accurately to record work, track assets, and maintain data integrity \uD83D\uDD37 Cross-Team Coordination · Support coordination with DCO, DCEO, Network Engineering, and facilities teams during active deployment or decom activities under manager guidance to ensure smooth execution · Participate in daily stand-ups and pre-work briefings; communicate clearly on task status, blockers, and schedule adherence · Provide accurate, timely updates on task completion and flag risks or delays to the team lead immediately \uD83D\uDD37 Continuous Learning & Development · Maintain and develop technical proficiency in structured cabling, fiber optics, rack installation, and data center physical infrastructure · Complete required certifications and training modules including EHS, LOTO, and any Rack Lifecycle Team-specific technical programs · Proactively seek feedback from leads and managers to improve personal performance and output quality · Support the onboarding and training of new team members; share knowledge and best practices with peers to build overall team capability and quality standards · Stay current on AWS infrastructure tooling, cabling standards, and process updates communicated by the Rack Lifecycle Team A day in the life As a Rack Lifecycle Tech, your day is on the data center floor. You might start the morning by reviewing your assigned work orders in Boost, checking in with your team lead on priorities, and staging cables and optics for a rack installation wave. By midday, you could be terminating fiber runs at a patch panel, running OTDR tests to validate loss results against acceptance thresholds, or labeling and dressing a freshly installed rack. In the afternoon, you might be updating CMDB records for completed work orders, de-tagging and staging recovered assets from an EOL decom, or helping onboard a new technician by walking them through the SOP. If you encounter a deviation from the approved MOP, you escalate it to your team lead immediately — you don't improvise. Your role is hands-on, technical, and precise — you execute the work that keeps AWS capacity on track. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amazon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Bachelor's degree in Information Technology, Computer Science, or a related field - 4+ years of experience in data center operations, structured cabling, or physical infrastructure installation - Familiarity with data center rack installation including physical placement, power connections, and grounding Preferred Qualifications: - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) - Experience working in a hyperscale or high-volume data center deployment environment 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" : "ID - Rack Lifecycle Tech, Rack Lifecycle Team at ADSIPL. Skills: Rack installation, Structured cabling, Data center operations. Execute rack installations. Perform structured cabling", "postedDate" : "2026-06-13T18:57:08.247", "createdAt" : "2026-06-13T18:57:08.247", "lastUpdated" : "2026-06-15T03:19:21.098", "ingestTimestamp" : "2026-06-13T18:57:08.247", "mongoId" : "6a25145374d8ee00a00bb38a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440418/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Structured cabling", "Rack installation", "Cable management", "Power connections", "Grounding", "Fiber terminations", "Copper terminations", "Patch panel connections", "Labeling", "OTDR", "Power validation", "EHS protocols", "Lockout/tagout", "Work order execution", "As-built documentation", "Port map verification", "BOM validation", "Asset de-tagging", "Rack extraction", "Device wipe", "Media destruction", "Asset staging", "RMA processing", "Secure disposal", "Space validation", "Cooling capacity validation", "Data center operations", "Supply chain support", "Inventory management", "Quality checks", "Site inventory records", "Cycle count activities", "Material handling", "Reverse logistics", "Data center infrastructure", "Physical infrastructure installation", "Rack lifecycle management", "AWS Secure Media Destruction", "AWS Reverse Logistics", "Boost", "MARS" ], "skillCount" : 41, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7ba074d8ee00a094a67e", "title" : "Lifecycle Marketing Manager", "company" : "Sands Investment Group", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Lifecycle Marketing Manager in Charleston, United States, adjusted for the Real Estate industry and company size." }, "location" : "Headquarters", "locations" : [ "Headquarters" ], "timestamp" : "2026-06-15T09:05:56.977", "fingerprint" : "f49adb54bd14a82063c643746b17eb0a6ffad73414c31c2f07ed5d87aa3382da", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/sandsinvestmentgroup/jobs/4214512009", "externalId" : "4214512009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charleston", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7884363,-79.9399309" } ], "locationText" : "Charleston, South Carolina, United States", "experienceMinYears" : 3, "experienceLevel" : "Manager", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who Are We Sands Investment Group is a full service commercial real estate advisory firm that helps private investors and institutions across the U. S. discover, buy, and sell investment properties. Founded in 2009, the firm specializes in acquisition, disposition, leasing, capital markets, and advisory services that support owner-operators as they scale. With 10 offices nationwide and a network of more than 130 brokers, SIG pairs a client-first approach with a connected, coast-to-coast platform. To date, the firm has closed more than 5,800 transactions totaling $11.2 billion in sales across 48 states. SIG is known for its deep market expertise, collaborative culture, and commitment to developing the next generation of commercial real estate leaders. The Opportunity SIG is looking for a Digital Marketing Manager to lead day-to-day (and eventually own) our owned-channel ecosystem, with a focus on our email program. You'll report to the VP of Marketing and work alongside the team at our Charleston, SC headquarters. This is a role for someone who thinks in systems, executes with precision, and wants to leave a real mark. You'll help design the architecture that turns audience signals into timely, relevant communications. You'll push our brand forward across every channel you touch and work hand-in-hand with a dynamic sales organization. If you love the craft of digital marketing, want real ownership over a high-visibility function, and are energized by building, this is your role. What You’ll Do Elevate Our Email Program Lead day-to-day strategy, execution, and optimization of our email communications Refresh and maintain lifecycle marketing journeys like the Welcome Series, New Property Announcements, VIP Nurture, Lead Warming sequences, Re-engagement flows, and more Implement CRM-triggered automations that respond to real-time client and prospect behavior, ensuring no warm contact slips through without a meaningful follow-up Manage list health, segmentation logic and preference center Manage the email platform and vendor relationships Grow our email list and convert highly engaged email subscribers into Signature Group members — our VIP client portal Launch bring the data to back your decisions Lead day-to-day execution of domain health programs Desired Qualifications 3+ years in lifecycle marketing, CRM, email, and/or digital marketing Hands-on experience with email platforms and marketing automation (ActiveCampaign, HubSpot, Klaviyo, Salesforce Marketing Cloud, or similar) Understanding of and/or experience with sales CRMs (bonus if you can translate client behavior data into smart and timely marketing!) Strong writer — subject lines that get opened, copy that converts, briefs a designer can execute AI-curious and intentional — you use AI tools to improve outcomes, not replace your creativity or critical thinking Bonus Points Background in commercial real estate, financial services, B2B, or HNW/luxury marketing – Familiarity with Salesforce Experience managing or growing a loyalty or membership platform Who Are You Detail-oriented and dependable — you take pride learning the gritty details, mastery of a subject, and getting it right A builder mindset, you're energized by setting something up from scratch, not just maintaining what exists Client-first, You protect the interests of our clients – starting with our own advisors Curious about what motivates commercial real estate investors and professionals, and how communications can move them Ready to grow — this role has a real runway, and we're looking for someone who has an appetite for learning. Our Culture We're a mission-driven team that believes in doing great work for good people. We operate by a 'win-win or no deal' philosophy, and we look for teammates who bring that same spirit. The right fit will reflect our values — the 5Cs — in how they show up, think, and work: Culture: You understand that brand-building is a relationship, not a transaction. You put people first — brokers, clients, and communities alike. Coachability: You take feedback seriously, act on it quickly, and show up prepared. You're motivated by growth, open to new ideas, and take pride in continuous improvement. Consistency: You deliver day in, day out. You're steady, reliable, and bring a sense of urgency to deadlines. Communication: You communicate clearly and proactively — including the uncomfortable conversations, handled with honesty and respect. Collaboration: You work across teams, share ideas freely, and always do what's best for the client. We encourage you to apply even if you don't meet every qualification listed. We're committed to building a diverse team and believe that skills can be developed in many different ways. What We Offer Competitive base salary, commensurate with experience Annual performance bonus 11 paid company holidays plus PTO Monthly health & wellness stipend Remote Wednesdays — protected time for deep focus Quarterly community service through SIGives HQ in Charleston, South Carolina — one of the most livable (and beautiful!) cities in the country", "summaryDescription" : "Lifecycle Marketing Manager at Sands Investment Group", "postedDate" : "2026-06-14T03:59:44.086", "createdAt" : "2026-06-14T03:59:44.086", "lastUpdated" : "2026-06-15T09:05:56.977", "ingestTimestamp" : "2026-06-14T03:59:44.086", "mongoId" : "6a2c7ba074d8ee00a094a67e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c954a74d8ee00a098ccdc", "title" : "Lifecycle Marketing Contractor", "company" : "The Phoenix", "industry" : "Sports & Fitness", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline adjusted for mid-seniority, remote work, and non-profit industry in the United States." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:45:59.071", "fingerprint" : "bd9383ec658493d0a8b2f259683cbf510cdb8a2095d5d474f431b981647d539e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thephoenix/jobs/5159976007", "externalId" : "5159976007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "technicalSkills" : "Braze", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "User behavior analysis", "Segmentation strategies", "User journeys", "Optimization" ], "hardSkillsList" : [ "Lifecycle marketing", "CRM", "Retention marketing", "Engagement marketing", "Testing strategies", "Performance analysis", "Copywriting", "Messaging" ], "hardSkills" : [ { "name" : "Lifecycle marketing", "level" : "intermediate" }, { "name" : "CRM", "level" : "intermediate" }, { "name" : "Retention marketing", "level" : "intermediate" }, { "name" : "Engagement marketing", "level" : "intermediate" }, { "name" : "Testing strategies", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Copywriting", "level" : "intermediate" }, { "name" : "Messaging", "level" : "intermediate" } ], "majorSkills" : "Lifecycle marketing, Campaign management, User engagement, Data analysis", "majorSkillsList" : [ "Lifecycle marketing", "Campaign management", "User engagement", "Data analysis" ], "coreResponsibilities" : "Conduct review of ecosystem, Deliver prioritized roadmap, Improve activation, Improve engagement, Improve retention, Improve reactivation, Identify optimization opportunities, Implement lifecycle initiatives, Provide recommendations for investment, Assess existing programs, Assess user journeys, Assess segmentation strategies, Assess engagement performance, Identify user friction, Identify drop-off, Identify opportunity, Develop roadmap, Execute roadmap, Build campaigns, Optimize campaigns, Build journeys, Optimize journeys, Build experiments, Optimize experiments, Analyze results, Provide recommendations, Provide documentation, Provide future-state roadmap", "teamCollaboration" : "Collaborating with product; Collaborating with analytics; Collaborating with marketing", "projectManagementSkills" : [ "Roadmap planning", "Project management" ], "domainKnowledge" : "Consumer apps; Digital products; Engagement platforms; Mobile apps; Community platforms; Mission-driven organizations", "domainList" : [ "consumer-apps", "digital-products", "engagement-platforms", "mobile-apps", "community-platforms", "mission-driven-organizations" ], "domainSpecificKnowledge" : [ "Consumer apps", "Digital products", "Engagement platforms", "Mobile apps", "Community platforms", "Mission-driven organizations" ], "toolProficiency" : [ "Braze" ], "communicationSkills" : "User communications", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Solving complex challenges; Identifying opportunities; Turning insights into action; Analyzing user behavior; Developing recommendations", "outcomesObjectives" : "Improve activation; Improve engagement; Improve retention; Improve reactivation", "qualificationsBasic" : "Experience leading lifecycle initiatives, Experience leading CRM initiatives, Experience leading retention initiatives, Experience leading engagement initiatives, Hands-on experience with Braze, Hands-on experience with comparable platforms, Hands-on experience with analytics tools, Experience developing testing strategies, Experience analyzing performance data, Experience translating insights, Copywriting skills, Messaging skills, Ability to prioritize opportunities, Ability to manage projects, Ability to execute with minimal oversight", "qualificationsPreferred" : "Experience supporting mobile apps, Experience supporting community platforms, Experience supporting mission-driven organizations, Experience collaborating with product teams, Experience collaborating with analytics teams, Experience collaborating with marketing teams, Familiarity with experimentation frameworks, Familiarity with user behavior analysis", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are looking for a strategic and hands-on lifecycle marketing contractor who enjoys solving complex engagement challenges, identifying opportunities independently, and turning insights into action. You are equally comfortable analyzing user behavior, building campaigns, and developing recommendations that improve long-term member engagement. The scope of this contract position includes conducting a comprehensive review of NewForm’s lifecycle marketing ecosystem and delivering a prioritized roadmap to improve activation, engagement, retention, and reactivation. During the contract period, this individual will identify opportunities for optimization, implement selected lifecycle initiatives, and provide recommendations for future lifecycle investment. Conduct an assessment of existing lifecycle marketing programs, user journeys, segmentation strategies, and engagement performance. Identify key areas of user friction, drop-off, and opportunity across the member lifecycle. Develop and execute a prioritized lifecycle optimization roadmap focused on activation, engagement, retention, and reactivation. Build and optimize a number of lifecycle campaigns, journeys, and experiments within Braze. Analyze results and provide recommendations, documentation, and future-state roadmap for ongoing lifecycle improvements QUALIFICATIONS Experience leading lifecycle, CRM, retention, or engagement initiatives for consumer apps, digital products, or engagement-driven platforms. Strong hands-on experience with Braze or comparable lifecycle marketing platforms and analytics tools. Experience developing testing strategies, analyzing performance data, and translating insights into actionable recommendations. Strong copywriting and messaging skills with the ability to create compelling user communications. Ability to independently prioritize opportunities, manage projects, and execute with minimal oversight. PREFERENCES We welcome all talented contractors to apply even if you don't have all these preferred attributes Experience supporting lifecycle programs for mobile apps, community-based platforms, or mission-driven organizations. Experience collaborating closely with product, analytics, and marketing teams. Familiarity with experimentation frameworks and user behavior analysis. CONTRACT TERMS Number of hours: Approximately 25 hours/week Location: Remote within the United States Schedule: Flexible within agreed-upon working hours End date: Initial 90-day contract with potential for long-term engagement ABOUT US The Phoenix's mission is to build a sober active community that fuels resilience and harnesses the transformational power of connection so that together we rise, recover, and live. Through activities such as CrossFit, book clubs, rock climbing, art socials, yoga, and meditation, participants build confidence, self-respect, and community. The Phoenix offers free programs, both in person and online, for anyone with 48 hours of sobriety. Since 2006, we have served hundreds of thousands of individuals with the help of thousands of volunteers across the country. At The Phoenix, we welcome people from all backgrounds and strive to create a healing-centered environment that allows everyone to bring their authentic selves to the workplace. We seek to create a workplace environment that accurately reflects the diverse communities we serve. We understand that voices of varied experiences and perspectives are central to our mission and our impact. We do not discriminate on the basis of race, color, religion, creed, gender, gender expression, pregnancy, genetic information, age, national origin, ancestry, disability, marital status, sexual orientation, or military status. The Phoenix will gladly provide reasonable accommodations during the interview process if needed. Please ask!", "summaryDescription" : "Lifecycle Marketing Contractor at The Phoenix. Skills: Lifecycle marketing, Campaign management, User engagement, Data analysis. Conduct review of ecosystem. Deliver prioritized roadmap", "postedDate" : "2026-06-13T22:29:25.710", "createdAt" : "2026-06-13T22:29:25.710", "lastUpdated" : "2026-06-15T07:45:59.071", "ingestTimestamp" : "2026-06-13T22:29:25.710", "mongoId" : "6a2c954a74d8ee00a098ccdc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Lifecycle marketing", "CRM", "Retention marketing", "Engagement marketing", "Testing strategies", "Performance analysis", "Copywriting", "Messaging", "Campaign management", "User engagement", "Data analysis", "Brand strategy", "Customer acquisition", "Growth metrics", "User behavior analysis", "Segmentation strategies", "User journeys", "Optimization", "Roadmap planning", "Project management", "Consumer apps", "Digital products", "Engagement platforms", "Mobile apps", "Community platforms", "Mission-driven organizations", "Braze" ], "skillCount" : 27, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca12f74d8ee00a09a4b08", "title" : "Customer Lifecycle Manager", "company" : "Junior", "industry" : "Go-To-Market", "salary" : { "min" : 65000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T07:57:52.278", "fingerprint" : "70bc5937e1e4dcbe3860703eefc79006bcc76284a121c8ea959dcce72f9a803e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/junior/d1f601d5-7f34-4169-b1e0-d4a14970386c/application", "externalId" : "d1f601d5-7f34-4169-b1e0-d4a14970386c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Customer.io, Attio, Segment, SQL, Event tracking, CDP setups, Pendo, Appcues, Intercom", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "System design", "Flow mapping", "Copy writing", "Performance measurement", "Iterative improvement", "Outcome measurement", "Behavioral targeting", "Feature adoption", "Support experience", "Training experience", "Lifecycle tracking", "Dormant account engagement", "Revenue influence" ], "hardSkillsList" : [ "Lifecycle automation", "In-product messaging", "Email messaging", "Targeted campaigns", "Automated support", "Automated training", "Knowledge base creation", "Guided flows", "Automated responses", "User behavior tracking", "Reactivation programs", "Performance reporting" ], "hardSkills" : [ { "name" : "Lifecycle automation", "level" : "intermediate" }, { "name" : "In-product messaging", "level" : "intermediate" }, { "name" : "Email messaging", "level" : "intermediate" }, { "name" : "Targeted campaigns", "level" : "intermediate" }, { "name" : "Automated support", "level" : "intermediate" }, { "name" : "Automated training", "level" : "intermediate" }, { "name" : "Knowledge base creation", "level" : "intermediate" }, { "name" : "Guided flows", "level" : "intermediate" }, { "name" : "Automated responses", "level" : "intermediate" }, { "name" : "User behavior tracking", "level" : "intermediate" }, { "name" : "Reactivation programs", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" } ], "majorSkills" : "Lifecycle automation, Customer engagement, Behavioral targeting, Growth marketing", "majorSkillsList" : [ "Lifecycle automation", "Customer engagement", "Behavioral targeting", "Growth marketing" ], "coreResponsibilities" : "Design lifecycle automation engine, Build automation engine, Engage user at right moment, Send right message, Build targeted programs, Design in-product messaging, Design email messaging, Trigger messaging by behavior, Trigger messaging by usage, Trigger messaging by events, Design targeted campaigns, Design feature adoption plays, Ship feature adoption plays, Measure feature adoption lift, Build automated support experience, Build automated training experience, Create knowledge base, Create guided flows, Create automated responses, Identify recurring friction, Define user behavior tracking, Build user stage view, Build user drop-off view, Identify inactive users, Identify under-engaged accounts, Test reactivation approaches, Scale reactivation approaches, Report on engagement impact, Report on revenue impact", "teamCollaboration" : "Work with Product; Work with Marketing; Work with Data; Work with CS Lead; Work with Founding Marketer; Work with leadership; Work with engineers", "domainKnowledge" : "Private M&A industry; B2B SaaS; Financial services; Enterprise SaaS; PE; Consulting; Commercial diligence reports; CDD workflows", "domainList" : [ "private-m-a-industry", "b2b-saas", "financial-services", "enterprise-saas", "pe", "consulting", "commercial-diligence-reports", "cdd-workflows" ], "domainSpecificKnowledge" : [ "Private M&A industry", "B2B SaaS", "Financial services", "Enterprise SaaS", "PE", "Consulting", "Commercial diligence reports", "CDD workflows" ], "toolProficiency" : [ "Customer.io", "Attio", "Segment", "Figma", "SQL", "Pendo", "Appcues", "Intercom", "Braze", "Iterable", "HubSpot", "Notion" ], "communicationSkills" : "Write email copy; Speak to CTO; Speak to head of portfolio operations", "documentationSkills" : "Write email copy", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "5 days in office", "outcomesObjectives" : "Activation rate; Feature adoption; Reactivation; Revenue influenced", "qualificationsBasic" : "4 to 7 years relevant experience, Owned lifecycle, growth, or CRM marketing, Built a lifecycle engine from zero, Segmentation and behavioral targeting, Customer.io, Braze, Iterable, HubSpot, Notion or equivalent, SQL, event tracking, Segment / CDP setups, Build a funnel view, Use LLMs in workflow", "qualificationsPreferred" : "Joined sub-100 and saw scale, Worked on low-volume, high-value B2B audience, Built a self-serve support hub, Worked at PE, consulting, or financial services adjacent vendor, Ran a reactivation program, Shipped in-product messaging through Pendo, Appcues, Intercom", "workSiteFlexibility" : "Onsite", "rawDescription" : "\uD83D\uDC76 ABOUT JUNIOR Junior is building the voice, research and context management layer for the private M&A industry. Investment and advisory firms run on conversations, and the richest context for any deal decision sits inside them. We started with compliant voice transcription and insight generation, and we are extending into the adjacent CDD workflows: surveys, voice agents, slides, and report drafting. Within 18 months, a consultant will press a button on Junior and get a 70% first-draft commercial diligence report in hours. Work that took six people a month will take two people two weeks. We are profitable and bootstrapped, around 40 people in London, New York and Sydney. Revenue has grown 20x in the last 24 months and we exited April at $21m run-rate. We work with every major consulting firm except McKinsey and Bain, and half the top 30 PE funds by AUM. NPS is over 80. Our go-to-market is deliberate: we sell through advisors, not around them. The incumbents have the brand, the relationships, and the institutional knowledge to win the AI transition, and Junior is the platform that gets them there. You can read more about the company mission & values here https://myjunior.notion.site/join-junior-2026?source=copy_link. \uD83D\uDCA1 THE ROLE We have users, customers, and prospects engaging with Junior in different ways every day. Right now, most of that experience is manual, inconsistent, or not happening at all. Activation emails are ad hoc. In-product nudges and clear training programmes aren’t built out. Reactivation is something we talk about, not something we run. We have features in the product that paying users are not using because we have not told them clearly that they exist. This role owns the system that fixes that. You'll be Junior's first dedicated Lifecycle hire, designing and building the automation engine that engages the right user, at the right moment, with the right message, without us doing it by hand. You will not be running broadcast campaigns to broad lists. You will be building targeted, behaviour-triggered programs for a small, high-value B2B audience where every account matters and one well-timed message can move a deal. You'll report to our CS Lead and work closely with Product, Marketing, and Data. You're a founding hire for this function. If it goes well, you build a team around you. \uD83D\uDD25 WHAT YOU'LL OWN - The full lifecycle automation engine. Activation, adoption, expansion, reactivation. Built from zero. Utilise our tools (Customer.io http://Customer.io, Attio, Segment etc.) - we can train you here too. - In-product and email messaging. Triggered by behaviour, usage, and key events. Not a newsletter. A built system across the full customer journey pre-product, onboarding and in full user flow. - Targeted campaigns to the right segments. Working with the Founding Marketer and leadership to put thought leadership and product content in front of the users who need it, not everyone on the list. - Adoption of features that already exist. Pick an underused feature each month, design the play, ship it, measure the lift. This is a CEO priority and you’ll be working very closely with our Founding Marketer and Product here. - A scalable, automated support and training experience. A knowledge base, guided flows, and automated responses that let users move forward without a manual touch. Work with product and CS to identify recurring friction. - Lifecycle tracking and visibility. Define how we track user behaviour across the lifecycle. Build the view of how users move between stages or drop off. Work with Data and RevOps to make tracking accurate and usable. - Reactivation and dormant account engagement. Identify inactive users and under-engaged accounts. Test approaches, scale what works. - Performance and reporting. Engagement and downstream impact, not sends and opens. You are measured on activation rate, feature adoption, reactivation, and revenue influenced. ABOUT YOU You think in systems, not one-off campaigns. You are equally comfortable mapping a flow in Figma and writing the email copy that runs through it. You measure what you ship and you iterate. You care about outcomes, not vanity metrics. \uD83E\uDD1D MUST-HAVES - 4 to 7 years of relevant industry experience. Owned lifecycle, growth, or CRM marketing at a high-growth B2B SaaS. Bonus if you joined sub-100 and saw it scale. Bonus again if you have worked on a low-volume, high-value B2B audience (PE, consulting, financial services, enterprise SaaS) rather than D2C or PLG mass market. - Built a lifecycle engine from zero. You can walk us through the journeys you designed, the triggers you set, the tools you picked, and the numbers that moved as a result. - Strong segmentation and behavioural targeting. You do not blast lists. You can explain how you decide who gets what message and when. - You write well and can produce clear, educational content for virtual training. Lifecycle messaging is the voice of the product for the user who is not in a sales call. Bring us examples. - Tool fluency. Customer.io http://Customer.io, Braze, Iterable, HubSpot, Notionor equivalent. Comfortable in the data layer (SQL, event tracking, Segment / CDP setups). - Numerate. You can build a funnel view, read the data, and decide where to intervene. You do not need a data analyst to tell you what to do next. We have engineers to support you building this out. - AI literacy. You use LLMs in your own workflow. You can speak credibly to a CTO or head of portfolio operations about why our product matters. \uD83C\uDFAF STRONG SIGNALS - Built a self-serve support hub or knowledge base from scratch. - Worked at a PE, consulting, or financial services adjacent vendor (AlphaSense / Tegus, Gain.pro http://Gain.pro, 73 Strings, Canoe Intelligence, Chronograph, Grata / Datasite, Affinity, Dealroom, Allvue, Visible Alpha, PitchBook, Intapp / DealCloud, Enfusion / Clearwater). - Ran a reactivation program that brought back a meaningful share of dormant accounts with numbers to prove it. - Have shipped in-product messaging through Pendo, Appcues, Intercom, or equivalent. \uD83C\uDF35 WHY JUNIOR? - Top 1% traction: 10x revenue growth in 12 months, $21m run-rate, profitable, half the top 30 PE firms by AUM and most of the major consultancies serving them as clients. - First-of-its-function ownership. Exceptional performance opens the door to Head of Lifecycle Marketing with a team underneath you. - High ownership, no micromanagement. - Equity in a profitable, bootstrapped company. - Third Space membership (or equivalent of your choice). - Private health insurance. - Multiple all-expense-paid offsites per year (recent: Cancun, Crete and Barcelona). - Office-first culture (5 days in our Farringdon office when you're in London). - Travel: light, with the occasional team offsite and customer trip. HOW TO APPLY Email careers@myjunior.ai with your CV, a short note on why you're interested, and your answers to the two self-screen questions above.", "summaryDescription" : "Customer Lifecycle Manager at Junior. Skills: Lifecycle automation, Customer engagement, Behavioral targeting, Growth marketing. Design lifecycle automation engine. Build automation engine", "createdAt" : "2026-06-13T22:20:36.236", "lastUpdated" : "2026-06-15T07:57:52.278", "ingestTimestamp" : "2026-06-13T22:20:36.236", "mongoId" : "6a2ca12f74d8ee00a09a4b08", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Lifecycle automation", "In-product messaging", "Email messaging", "Targeted campaigns", "Automated support", "Automated training", "Knowledge base creation", "Guided flows", "Automated responses", "User behavior tracking", "Reactivation programs", "Performance reporting", "Customer engagement", "Behavioral targeting", "Growth marketing", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "System design", "Flow mapping", "Copy writing", "Performance measurement", "Iterative improvement", "Outcome measurement", "Feature adoption", "Support experience", "Training experience", "Lifecycle tracking", "Dormant account engagement", "Revenue influence", "Private M&A industry", "B2B SaaS", "Financial services", "Enterprise SaaS", "PE", "Consulting", "Commercial diligence reports", "CDD workflows", "Customer.io", "Attio", "Segment", "Figma", "SQL", "Pendo", "Appcues", "Intercom", "Braze", "Iterable", "HubSpot", "Notion" ], "skillCount" : 51, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cf9a674d8ee00a0a9b537", "title" : "Senior Product Data Analyst", "company" : "Lightspeed", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 135000.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto", "locations" : [ "Toronto" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:58:06.859", "fingerprint" : "49f8a68373c3c61e6cb2eab2879137d5eee9dfa81261c6c3988cbbe2a299b9ed", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/39c85ba7-4d35-4c98-a716-7df7d929c1ef/application", "externalId" : "39c85ba7-4d35-4c98-a716-7df7d929c1ef", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AWS, GCP, Azure, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data visualization", "Business intelligence", "Data engineering", "ETL processes", "Data warehousing" ], "hardSkillsList" : [ "Statistical modeling", "Predictive modeling", "Data mining", "Algorithm development", "Data pipeline management" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Data pipeline management", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Machine learning, Business intelligence, Data visualization", "majorSkillsList" : [ "Data analysis", "Machine learning", "Business intelligence", "Data visualization" ], "coreResponsibilities" : "Develop and maintain data models, Build and optimize data pipelines, Design and implement ETL processes, Perform complex data analysis, Develop machine learning models, Create and maintain dashboards, Collaborate with stakeholders, Communicate findings to technical and non-technical audiences, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake" ], "communicationSkills" : "Present findings; Technical communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Experience with Python or R, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with MLOps practices", "remoteFriendly" : true, "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B We’re looking for a Senior Product Data Analyst to join our Financial Services team in Canada. This role sits at the intersection of Product Analytics, Decision Science, and Product Strategy. You will partner closely with Product, Engineering, and business leadership to help shape the future of Capital through data-driven decision making. For Capital to succeed, many of our most important product and business decisions depend on balancing complex trade-offs across pricing, conversion, offer volume, losses, and profitability. In many ways, data-driven decision making is the product itself. We’re looking for someone who can operate as a strategic thought partner , not simply answer predefined questions, but help determine: - What problems we should solve, and the right way to design and implement solutions - Defining and measuring success across product, merchant, and business outcomes - Optimizing for both merchant success and business performance, balancing growth, risk, and operational tradeoffs What you’ll be doing: - Partner with Product and Engineering leaders to influence product strategy through deep analytical insights and decision frameworks - Lead ambiguous and high-impact analytical initiatives end-to-end, from problem definition through recommendation and implementation - Build analytical models and frameworks that optimize trade-offs across risk, pricing, conversion, profitability, and customer outcomes - Design and evaluate experiments, including pricing and conversion optimization initiatives - Translate complex business problems into structured analytical approaches and measurable success criteria - Identify product opportunities, operational inefficiencies, and strategic insights through deep analysis of large-scale transactional and product datasets - Deliver executive-level recommendations and influence roadmap decisions using data - Collaborate cross-functionally with Product, Engineering, Finance, and GTM teams to operationalize data-informed decisions What you need to bring: We’re looking for a senior, highly analytical candidate who is comfortable operating in ambiguity and influencing decisions at both the strategic and operational level. You likely have experience with: - Advanced SQL and strong analytical skills working with large-scale product or transactional datasets - Python for analytics, experimentation, statistical analysis, or modeling - Product analytics, experimentation, and decision science methodologies - Building analytical frameworks that drive business and product decisions - Leading cross-functional analytical initiatives independently - Translating ambiguous business questions into structured analysis and actionable recommendations - Strong communication and stakeholder management skills, with the ability to influence Product and Engineering teams - Data visualization and storytelling experience using tools such as Looker, Tableau, or similar BI platforms - Experience working within product organizations at technology or fintech companies Nice to have: - Experience in fintech, lending, payments, or risk-related domains - Experience in Data Science, predictive modeling, or optimization problems Why this role matters: This is not a traditional reporting or dashboard-focused analytics role. We’re looking for someone who can act as a strategic product partner — someone who uses data to influence product direction, challenge assumptions, evaluate trade-offs, and help drive some of the most important decisions within the Capital business. You’ll work on high-impact problems with significant visibility across Product, Engineering, and business leadership, and play a key role in shaping the future of Financial Services at Lightspeed. We know that people are more than what’s on their CV. If you’re unsure that you have the right profile for the role... hit the ‘Apply’ button and give it a try! What’s in it for you? Come live the Lightspeed experience... You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families #LI-AL2 At Lightspeed, we carefully consider a wide range of factors when determining compensation, including your skill set, qualifications, experience, and market data. These considerations can cause your compensation to vary. We reasonably expect the total compensation for this position to be in the range of $115k TO $135k CAD. Lightspeed also provides a variety of employee benefits including, but not limited to, medical, dental, wellness, life and disability insurance, RRSP plan and match, paid parental leave top-up, and paid time off. Please note that this compensation information is solely for candidates hired to perform work within Ontario (update to BC if posted in Vancouver) and reflects the amount Lightspeed is willing to pay at the time of this posting. This role represents an existing vacancy at Lightspeed. Lightspeed uses artificial intelligence–enabled tools to support certain aspects of the recruitment process; all hiring decisions are made by our recruiting and hiring teams. To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Product Data Analyst at Lightspeed. Skills: Data analysis, Machine learning, Business intelligence, Data visualization. Develop and maintain data models. Build and optimize data pipelines", "createdAt" : "2026-06-14T20:26:23.540", "lastUpdated" : "2026-06-16T01:58:06.859", "ingestTimestamp" : "2026-06-14T20:26:23.540", "mongoId" : "6a2cf9a674d8ee00a0a9b537", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Predictive modeling", "Data mining", "Algorithm development", "Data pipeline management", "Data analysis", "Machine learning", "Business intelligence", "Data visualization", "Data modeling", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "ETL processes", "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb06574d8ee00a09d9d3a", "title" : "Product lead & Data Analyst", "company" : "Labhouse", "industry" : "Product Management", "salary" : { "min" : 32000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Product Lead & Data Analyst in Barcelona, Spain, with mid-level experience in the technology industry." }, "location" : "Barcelona", "locations" : [ "Barcelona" ], "timestamp" : "2026-06-16T07:02:45.460", "fingerprint" : "1082fc524f925de99d723067b5de0d012206bf77203026baafdec241f4a2ad53", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/labhouse/42a27830-173f-4748-807f-5e0b1c297b97/application", "externalId" : "42a27830-173f-4748-807f-5e0b1c297b97", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Mid", "technicalSkills" : "SQL, AI", "professionalSkills" : [ "Product mindset", "Data-informed decisions" ], "hardSkillsList" : [ "Statistics", "Experimentation", "Product metrics", "Activation metrics", "Retention metrics", "Monetization metrics", "LTV metrics", "A/B testing", "Onboarding flows", "Monetization experiments", "Product hypotheses", "Roadmap priorities", "AI tools" ], "hardSkills" : [ { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Product metrics", "level" : "intermediate" }, { "name" : "Activation metrics", "level" : "intermediate" }, { "name" : "Retention metrics", "level" : "intermediate" }, { "name" : "Monetization metrics", "level" : "intermediate" }, { "name" : "LTV metrics", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Onboarding flows", "level" : "intermediate" }, { "name" : "Monetization experiments", "level" : "intermediate" }, { "name" : "Product hypotheses", "level" : "intermediate" }, { "name" : "Roadmap priorities", "level" : "intermediate" }, { "name" : "AI tools", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Data analysis, Experimentation, AI tools", "majorSkillsList" : [ "Product strategy", "Data analysis", "Experimentation", "AI tools" ], "coreResponsibilities" : "Ideate new mobile apps, Validate new mobile apps, Launch new mobile apps, Drive product decisions using data, Drive product decisions using experimentation, Drive product decisions using user insights, Define metrics that matter, Track metrics that matter, Design A/B tests, Analyze A/B tests, Design onboarding flows, Analyze onboarding flows, Design monetization experiments, Analyze monetization experiments, Translate raw data into hypotheses, Translate raw data into roadmap priorities, Collaborate with engineering, Collaborate with design, Collaborate with marketing, Ship fast, Iterate faster, Leverage AI tools for research, Leverage AI tools for prototyping, Leverage AI tools for decision-making", "teamCollaboration" : "Cross-functional collaboration; Engineering; Design; Marketing", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Mobile technology; AI; Product-driven growth; Experimentation; Performance marketing; Subscription business model; AI & Productivity Apps", "domainList" : [ "mobile-technology", "ai", "product-driven-growth", "experimentation", "performance-marketing", "subscription-business-model", "ai-productivity-apps" ], "domainSpecificKnowledge" : [ "Mobile technology", "AI", "Product-driven growth", "Experimentation", "Performance marketing", "Subscription business model", "AI & Productivity Apps" ], "communicationSkills" : "Simplify complex data; Product narratives", "innovationCreativity" : "Prototyping", "problemSolvingSkills" : "Data analysis; Root cause analysis", "outcomesObjectives" : "Ship products that scale", "qualificationsBasic" : "Degree in quantitative or technical field, 2–4 years of experience as Data Scientist, 2–4 years of experience as Data Engineer, 2–4 years of experience as Data Analyst, Solid analytical foundation, SQL proficiency, Statistics proficiency, Experimentation proficiency, Product metrics proficiency, High agency, High ownership, Bias for action, Proficiency with AI tools, Level of spoken English, Level of written English, Level of spoken Spanish, Level of written Spanish, Clear, structured communicator", "qualificationsPreferred" : "Experience building products from 0 to 1, Experience working closely with founders, Experience in startup environments, Ability to work remote, Ability to work hybrid, Barcelona-based preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Labhouse is a fast-growing startup that builds, launches, and scales its own AI & Productivity Apps, operating under a subscription-based business model. Based in Barcelona, Labhouse was founded by Andrés Bou and Horacio Martos (Co-Founders of SocialPoint). We operate at the intersection of mobile technology, AI, and product-driven growth, with a strong focus on experimentation and performance. Would you like to make an impact as part of a company that builds the best mobile apps used by millions of users worldwide? If so, discover your next challenge below. Now we're looking for a Product lead & Data Analyst to work side by side with our CEO, turning data into the apps of tomorrow \uD83D\uDE80 ABOUT THE ROLE As Data Product Manager, you'll partner directly with the CEO to launch new apps and evolve our existing portfolio. You'll bring a data-first mindset to product decisions — using user behavior, experimentation, and analytics to identify opportunities, prioritize features, and ship products that scale. This role requires someone highly autonomous, entrepreneurial, and impact-driven, capable of defining KPIs, building dashboards, and making data-informed decisions. You'll be responsible for: - Working hand in hand with the CEO to ideate, validate, and launch new mobile apps - Driving product decisions on existing apps using data, experimentation, and user insights - Defining and tracking the metrics that matter: activation, retention, monetization, LTV - Designing and analyzing A/B tests, onboarding flows, and monetization experiments - Translating raw data into clear product hypotheses and roadmap priorities - Collaborating with engineering, design, and marketing to ship fast and iterate faster - Leveraging AI tools to accelerate research, prototyping, and decision-making ABOUT YOU: Academic background: - Degree in a quantitative or technical field — Data Science, Data Engineering, Computer Science, Engineering, Mathematics, Statistics, Physics, or similar - Strong academic record from a top-tier university What are we looking for: - 2–4 years of experience as a Data Scientist, Data Engineer, or Data Analyst, looking to transition into product - Solid analytical foundation: SQL, statistics, experimentation, and product metrics (CAC, LTV, retention, ARPU) - A genuine product mindset — you don't just analyze data, you ask why and propose what to build next - High agency, ownership, and bias for action - Comfortable working directly with founders in a fast-paced environment - Strong proficiency with AI tools to accelerate your workflow - Passion for UI/UX and Apple-like product experiences Communication: - Strong level of spoken and written English and Spanish - Clear, structured communicator who can simplify complex data into product narratives NICE TO HAVE: - Experience building products from 0 to 1. - Experience working closely with founders or in startup environments. - Ability to work remote or hybrid (Barcelona-based preferred). WHAT WE OFFER: - The opportunity to work side by side with serial entrepreneurs who've built and exited at the highest level - A real path to becoming a product leader, mentored directly by the CEO - Attractive compensation package, above market average - Hybrid work model from our Barcelona office - A fast-moving, AI-native environment where shipping beats talking HIRING PROCESS 1. TA Interview – Initial conversation to get to know each other and understand your background. 2. Technical Case – Practical exercise to assess your product, analytical, and strategic capabilities. 3. CEO / Product Team Interview – Deep dive into your product thinking, experience, and fit with the team. 4. Final Interview – Final conversation to ensure alignment on expectations, culture, and role fit. YOU SHOULD KNOW: Labhouse is proud to be an equal-opportunity employer. However you identify or whatever your journey to this point, we welcome all candidates to apply for the position that inspires them. Come join us and help us build a company that everyone is proud to be part of.", "summaryDescription" : "Product lead & Data Analyst at Labhouse. Skills: Product strategy, Data analysis, Experimentation, AI tools. Ideate new mobile apps. Validate new mobile apps", "createdAt" : "2026-06-14T20:21:38.422", "lastUpdated" : "2026-06-16T07:02:45.460", "ingestTimestamp" : "2026-06-14T20:21:38.422", "mongoId" : "6a2cb06574d8ee00a09d9d3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Statistics", "Experimentation", "Product metrics", "Activation metrics", "Retention metrics", "Monetization metrics", "LTV metrics", "A/B testing", "Onboarding flows", "Monetization experiments", "Product hypotheses", "Roadmap priorities", "AI tools", "Product strategy", "Data analysis", "Product mindset", "Data-informed decisions", "Roadmap", "Mobile technology", "AI", "Product-driven growth", "Performance marketing", "Subscription business model", "AI & Productivity Apps" ], "skillCount" : 24, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05874d8ee00a09a1fa8", "title" : "Customer Lifecycle Manager", "company" : "Saily", "industry" : "NordVPN", "salary" : { "min" : 3100.0, "max" : 5200.0, "currency" : "EUR", "frequency" : "Yearly" }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T10:22:33.625", "fingerprint" : "f672c24de06dacbfb3558bcb0bb9d4a05892af95ea6456398ce4ef616fb57369", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nord-security/7e1334e6-a48b-4d43-b79a-05b54f77556a/application", "externalId" : "7e1334e6-a48b-4d43-b79a-05b54f77556a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior", "technicalSkills" : "Marketing automation", "professionalSkills" : [ "Customer value management", "Customer lifecycle marketing", "Business growth" ], "hardSkillsList" : [ "Data interpretation", "Customer feedback analysis" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Customer feedback analysis", "level" : "intermediate" } ], "majorSkills" : "Customer lifecycle strategies, Communication strategies, Customer value management", "majorSkillsList" : [ "Customer lifecycle strategies", "Communication strategies", "Customer value management" ], "coreResponsibilities" : "Collaborate on customer lifecycle strategies, Set up trigger-based communication flows, Optimize messaging, Optimize offers, Optimize frequency, Optimize channel mix, Maximize customer value, Boost engagement, Reduce churn, Collaborate with marketing teams, Collaborate with product teams, Collaborate with data teams, Gather customer feedback, Analyze customer feedback, Identify pain points, Adjust communication", "teamCollaboration" : "Cross-functional teams; Marketing teams; Product teams; Data teams", "domainKnowledge" : "Telecom; Travel; Subscription-based business; Lifecycle marketing; Customer value management", "domainList" : [ "telecom", "travel", "subscription-based-business", "lifecycle-marketing", "customer-value-management" ], "domainSpecificKnowledge" : [ "Telecom", "Travel", "Subscription-based business", "Lifecycle marketing", "Customer value management" ], "toolProficiency" : [ "Braze", "Salesforce", "Iterable" ], "continuousLearning" : "Training programs; Mentorship; Career-switch opportunities", "problemSolvingSkills" : "Data interpretation; Turn insights into actions", "outcomesObjectives" : "Drive engagement; Drive up-sell; Drive cross-sell; Drive retention; Maximize customer value; Boost engagement; Reduce churn", "qualificationsBasic" : "Previous experience in CVM, Previous experience in CRM, Previous experience in Lifecycle Marketing, B2C segment experience, B2B segment experience, Telecom experience preferred, Travel experience preferred, Subscription-based business experience preferred, Experience with CRM tools, Experience with marketing automation platforms, Analytical mindset, Result-oriented mindset, Interpret data into actions, Collaborate cross-functionally, Thrive in fast-paced environment, Thrive in high-growth environment", "qualificationsPreferred" : "Braze experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "AT SAILY, WE’RE REMOVING THE HASSLE FROM GETTING SECURE DATA PLANS WHILE TRAVELING. No roaming charges, no plastic SIM cards. Just fast, secure mobile data in 200+ countries. Join the team behind Lonely Planet’s #1 eSIM—built for explorers, powered by NordVPN. Your impact? Helping people stay securely connected, wherever they go. Come aboard with Saily, our new eSIM service designed for travelers and explorers! We’re bringing our expertise in cybersecurity to an essential product that makes travel effortless and more sustainable while avoiding unexpected roaming costs. Becoming #3 globally in less than a year, and on a steep growth trajectory to number one. Join the Saily crew to build technology that connects the world. We are currently looking for a team member to join Saily’s Commercial team. We are responsible for Saily’s commercial success through developing offering models, campaigns and new business opportunities. Engagement that enhances business growth is key, thus we thoroughly listen to our customers' needs, analyze data, track market trends and competition. This role will be responsible for introducing new features and upsell opportunities to grow revenue within our current customer base, and will create communication strategies to unlock possibilities with a newly targeted B2B segment. If you enjoy diving into customers' behavior and are capable of turning data into action, you are welcome to apply. MAIN RESPONSIBILITIES - Collaborate on customer lifecycle strategies that drive engagement, up-/cross-sell and retention. - Set up trigger-based communication flows across customer lifecycle - onboarding, engagement, retention, and win-back - using a marketing automation platform. - Continuously test and optimize messaging, offers, frequency, and channel mix (email, in-app, push notifications) to maximize customer value, boost engagement and reduce churn. - Collaborate with marketing, product, data teams to balance business growth with exceptional customer experience. - Gather and analyze customer feedback to identify pain points and adjust communication accordingly. - Stay informed on industry trends and best practices in lifecycle marketing, automation, and customer value management. CORE REQUIREMENTS - Successful previous experience in a similar role in Customer Value Management, CRM, or Lifecycle Marketing fields (B2C and B2B segment), preferably in telecom, travel, or other subscription-based businesses. - Experience with CRM tools and marketing automation platforms: Braze (preferably), Salesforce, Iterable or similar. - Analytical, result-oriented mindset and proven ability to interpret data and turn insights into actions. - Proven ability to collaborate cross-functionally with colleagues of diverse seniority. - Self-starter who thrives in a fast-paced, high-growth environment. WHAT WE OFFER Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Work in a next-gen Cyber City office Thrive in our bustling office, featuring ergonomic workspaces, modern meeting rooms, engaging events, and specialty coffee to fuel your day. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Boost your health with free-of-charge 24/7 gym access, onsite and online workouts, and consultations led by in-house Physical Well-Being experts. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Extra days off Enjoy additional vacation days off as you grow with us. Plus, get extra days for sick leave, special occasions, or parenting needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes. We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance. By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter. If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.", "summaryDescription" : "Customer Lifecycle Manager at Saily. Skills: Customer lifecycle strategies, Communication strategies, Customer value management. Collaborate on customer lifecycle strategies. 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Thanks for stopping by \uD83D\uDC4B We’re looking for a Senior Product Data Analyst to join our Financial Services team in Canada. This role sits at the intersection of Product Analytics, Decision Science, and Product Strategy. You will partner closely with Product, Engineering, and business leadership to help shape the future of Capital through data-driven decision making. For Capital to succeed, many of our most important product and business decisions depend on balancing complex trade-offs across pricing, conversion, offer volume, losses, and profitability. In many ways, data-driven decision making is the product itself. We’re looking for someone who can operate as a strategic thought partner , not simply answer predefined questions, but help determine: - What problems we should solve, and the right way to design and implement solutions - Defining and measuring success across product, merchant, and business outcomes - Optimizing for both merchant success and business performance, balancing growth, risk, and operational tradeoffs What you’ll be doing: - Partner with Product and Engineering leaders to influence product strategy through deep analytical insights and decision frameworks - Lead ambiguous and high-impact analytical initiatives end-to-end, from problem definition through recommendation and implementation - Build analytical models and frameworks that optimize trade-offs across risk, pricing, conversion, profitability, and customer outcomes - Design and evaluate experiments, including pricing and conversion optimization initiatives - Translate complex business problems into structured analytical approaches and measurable success criteria - Identify product opportunities, operational inefficiencies, and strategic insights through deep analysis of large-scale transactional and product datasets - Deliver executive-level recommendations and influence roadmap decisions using data - Collaborate cross-functionally with Product, Engineering, Finance, and GTM teams to operationalize data-informed decisions What you need to bring: We’re looking for a senior, highly analytical candidate who is comfortable operating in ambiguity and influencing decisions at both the strategic and operational level. You likely have experience with: - Advanced SQL and strong analytical skills working with large-scale product or transactional datasets - Python for analytics, experimentation, statistical analysis, or modeling - Product analytics, experimentation, and decision science methodologies - Building analytical frameworks that drive business and product decisions - Leading cross-functional analytical initiatives independently - Translating ambiguous business questions into structured analysis and actionable recommendations - Strong communication and stakeholder management skills, with the ability to influence Product and Engineering teams - Data visualization and storytelling experience using tools such as Looker, Tableau, or similar BI platforms - Experience working within product organizations at technology or fintech companies Nice to have: - Experience in fintech, lending, payments, or risk-related domains - Experience in Data Science, predictive modeling, or optimization problems Why this role matters: This is not a traditional reporting or dashboard-focused analytics role. We’re looking for someone who can act as a strategic product partner — someone who uses data to influence product direction, challenge assumptions, evaluate trade-offs, and help drive some of the most important decisions within the Capital business. You’ll work on high-impact problems with significant visibility across Product, Engineering, and business leadership, and play a key role in shaping the future of Financial Services at Lightspeed. We know that people are more than what’s on their CV. If you’re unsure that you have the right profile for the role... hit the ‘Apply’ button and give it a try! What’s in it for you? Come live the Lightspeed experience... You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families #LI-AL2 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Product Data Analyst at Lightspeed. Develop and maintain data models. 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