Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
09/25/2026
Full time
Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Hasbro's Direct-to-Consumer (DTC) platform connects fans worldwide through seamless, intelligent, and data-driven digital commerce experiences. As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the unified analytics foundation that enables Hasbro's DTC-as-a-Service (DTCaaS) model, delivering shared infrastructure, standardized measurement, and actionable intelligence across Pulse, D&D Beyond, and future brand storefronts. This role blends strategic leadership with technical depth to ensure our data capabilities scale with the business and elevate fan experience, product performance, and operational efficiency. You will champion enterprise-wide data literacy, foster a culture of data-informed decision-making, and establish clear ROI frameworks to measure and communicate the impact of analytics investments. This role is a hybrid role based in Renton, WA with three days a week expected in office. What You'll Do Build the Analytics Foundation for DTCaaS Define the unified data architecture across our eCommerce platform and integrated systems. Establish cross-brand KPIs and measurement standards spanning sales, forecasting, fulfillment, customer behavior, and financial performance. Own the semantic layer, shared dashboards, and reporting assets used across all DTC brands. Lead instrumentation strategy to ensure consistent, high-quality events and insights across journeys (acquisition, checkout, campaigns, fulfilment, service). Implement data governance, privacy-by-design, and compliance frameworks in partnership with Legal, Security, and IT to ensure regulatory readiness and trusted insights. Deliver Scalable, Reusable Insights Products Build automated reporting and insight tools for leadership reviews, business insights, and operational actions. Develop dashboards and analytic products for sales, marketing, supply chain, finance, and operations. Introduce predictive modeling for sell-thru, inventory health, fulfillment operations, and customer lifetime value. Create self-service analytics capabilities that empower teams while maintaining governance and data quality. Define and operationalize analytics success metrics, such as insight adoption, forecast accuracy, and cycle-time reduction, to demonstrate business impact. Drive Operational Intelligence and Cost Transparency Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation. Partner with Finance, Supply Chain, and Operations to enable data-driven planning and efficiency improvements. Improve business insights, merchandising insights, and logistics planning across regions. Integrate analytics outcomes into annual and long-range planning processes, securing executive sponsorship and linking initiatives directly to business goals. Lead and Grow a High-Performing Analytics Organization Lead business intelligence engineering and analytics talent across multiple domains. Mentor and develop team members while promoting excellence, collaboration, and innovation. Own the analytics intake, prioritization, roadmaps, and delivery and ensure visibility and alignment, and across functions. Partner closely with Product, Engineering, Marketing, Finance, Supply Chain, and CX to embed analytics into roadmap planning and decision-making. Influence leadership through clear storytelling, strategic framing, and data-driven recommendations. Shape the Future of Hasbro's Data & Analytics Capabilities Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation). Define long-term principles and architectures that scale across brands, markets, and product lines. Champion DataOps, testing, lineage, and reliability standards to ensure trust in insights. Drive platform performance, cost governance, and continuous improvement across datawarehouses, BI tools, and event pipelines. Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem. Minimum Qualifications 10+ years of experience in data analytics, BI, analytics engineering, or data engineering. 5+ years leading multi-disciplinary analytics or data teams. Proven ability to architect and scale data models, dashboards, forecasting tools, and analytics foundations for commerce or consumer-facing platforms. Strong understanding of how analytics informs commerce, marketing, finance, supply chain, customer experience, and operations. Experience partnering with engineering and product teams to influence data models, instrumentation, and system design. Exceptional communication skills, able to simplify complexity and influence executives and cross-functional leaders. Familiar with modern data platforms and analytics engineering concepts (Snowflake, dbt, Databricks, Tableau/Power BI), with the ability to guide technical teams and set standards without being hands-on. Demonstrated success delivering measurable business impact through analytics Preferred Qualifications Proven ability to influence senior stakeholders and drive alignment across functions to advance enterprise-wide analytics initiatives. Able to apply global privacy requirements (GDPR, CCPA, COPPA) when shaping data models, instrumentation plans, and reporting systems. Experienced designing insights and forecasting frameworks that scale across multiple brands and regions, accounting for differences in currency, tax/VAT, catalog structure, and fulfillment workflows. Background applying predictive analytics, or experimentation frameworks to strengthen demand planning, customer insight, and conversion optimization. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $195,900-$293,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
09/25/2026
Full time
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Hasbro's Direct-to-Consumer (DTC) platform connects fans worldwide through seamless, intelligent, and data-driven digital commerce experiences. As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the unified analytics foundation that enables Hasbro's DTC-as-a-Service (DTCaaS) model, delivering shared infrastructure, standardized measurement, and actionable intelligence across Pulse, D&D Beyond, and future brand storefronts. This role blends strategic leadership with technical depth to ensure our data capabilities scale with the business and elevate fan experience, product performance, and operational efficiency. You will champion enterprise-wide data literacy, foster a culture of data-informed decision-making, and establish clear ROI frameworks to measure and communicate the impact of analytics investments. This role is a hybrid role based in Renton, WA with three days a week expected in office. What You'll Do Build the Analytics Foundation for DTCaaS Define the unified data architecture across our eCommerce platform and integrated systems. Establish cross-brand KPIs and measurement standards spanning sales, forecasting, fulfillment, customer behavior, and financial performance. Own the semantic layer, shared dashboards, and reporting assets used across all DTC brands. Lead instrumentation strategy to ensure consistent, high-quality events and insights across journeys (acquisition, checkout, campaigns, fulfilment, service). Implement data governance, privacy-by-design, and compliance frameworks in partnership with Legal, Security, and IT to ensure regulatory readiness and trusted insights. Deliver Scalable, Reusable Insights Products Build automated reporting and insight tools for leadership reviews, business insights, and operational actions. Develop dashboards and analytic products for sales, marketing, supply chain, finance, and operations. Introduce predictive modeling for sell-thru, inventory health, fulfillment operations, and customer lifetime value. Create self-service analytics capabilities that empower teams while maintaining governance and data quality. Define and operationalize analytics success metrics, such as insight adoption, forecast accuracy, and cycle-time reduction, to demonstrate business impact. Drive Operational Intelligence and Cost Transparency Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation. Partner with Finance, Supply Chain, and Operations to enable data-driven planning and efficiency improvements. Improve business insights, merchandising insights, and logistics planning across regions. Integrate analytics outcomes into annual and long-range planning processes, securing executive sponsorship and linking initiatives directly to business goals. Lead and Grow a High-Performing Analytics Organization Lead business intelligence engineering and analytics talent across multiple domains. Mentor and develop team members while promoting excellence, collaboration, and innovation. Own the analytics intake, prioritization, roadmaps, and delivery and ensure visibility and alignment, and across functions. Partner closely with Product, Engineering, Marketing, Finance, Supply Chain, and CX to embed analytics into roadmap planning and decision-making. Influence leadership through clear storytelling, strategic framing, and data-driven recommendations. Shape the Future of Hasbro's Data & Analytics Capabilities Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation). Define long-term principles and architectures that scale across brands, markets, and product lines. Champion DataOps, testing, lineage, and reliability standards to ensure trust in insights. Drive platform performance, cost governance, and continuous improvement across datawarehouses, BI tools, and event pipelines. Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem. Minimum Qualifications 10+ years of experience in data analytics, BI, analytics engineering, or data engineering. 5+ years leading multi-disciplinary analytics or data teams. Proven ability to architect and scale data models, dashboards, forecasting tools, and analytics foundations for commerce or consumer-facing platforms. Strong understanding of how analytics informs commerce, marketing, finance, supply chain, customer experience, and operations. Experience partnering with engineering and product teams to influence data models, instrumentation, and system design. Exceptional communication skills, able to simplify complexity and influence executives and cross-functional leaders. Familiar with modern data platforms and analytics engineering concepts (Snowflake, dbt, Databricks, Tableau/Power BI), with the ability to guide technical teams and set standards without being hands-on. Demonstrated success delivering measurable business impact through analytics Preferred Qualifications Proven ability to influence senior stakeholders and drive alignment across functions to advance enterprise-wide analytics initiatives. Able to apply global privacy requirements (GDPR, CCPA, COPPA) when shaping data models, instrumentation plans, and reporting systems. Experienced designing insights and forecasting frameworks that scale across multiple brands and regions, accounting for differences in currency, tax/VAT, catalog structure, and fulfillment workflows. Background applying predictive analytics, or experimentation frameworks to strengthen demand planning, customer insight, and conversion optimization. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $195,900-$293,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Irving TX About the job you're considering The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development. Your role A Delivery Manager / Technical Program Manager with strong expertise in global software delivery, Agile execution, enterprise integrations, deployment readiness, stakeholder management, and multi-market technology rollouts, capable of leading complex digital transformation programs across international markets. Lead end-to-end delivery of Smart Ops and Digital Ordering initiatives. Manage: Discovery, Localization, Integration, Testing, Deployment Readiness, Hypercare, Transition to Support Drive governance, milestone tracking, dependency management, and risk mitigation. Coordinate enterprise integrations involving: APIs, Middleware, Payment Systems, Menu Platforms, Delivery Aggregators, Operational Systems Oversee: Data Migration, Cutover Planning, Release Readiness, Production Deployments, Global Market Readiness Support multi-country rollouts including: Language Localization, Currency Setup, Tax Configuration, Compliance Requirements, Menu Management, Drive training and change management readiness. Deliver executive reporting, escalation management, and program updates. Governance & Operations Manage: RAID Logs, KPIs, Delivery Dashboards, Dependency Tracking Ensure successful handoff to support teams after deployment. Your skills and experience 10+ years in Technical Program Management, Delivery Management, or Enterprise Software Delivery. Strong experience with: SDLC, Agile Delivery, Jira, Confluence, Enterprise Integrations, Data Migration, Release Management, Deployment Readiness Experience managing globally distributed teams. Strong stakeholder management and executive communication skills. Global Rollout & Localization Programs Preferred Experience: QSR, Retail Technology, Hospitality, eCommerce, POS Systems, Digital Ordering Platforms, Store Technology - Hybrid The base compensation range for this role in the posted location is: $82,082 - 193,440. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/24/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Irving TX About the job you're considering The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development. Your role A Delivery Manager / Technical Program Manager with strong expertise in global software delivery, Agile execution, enterprise integrations, deployment readiness, stakeholder management, and multi-market technology rollouts, capable of leading complex digital transformation programs across international markets. Lead end-to-end delivery of Smart Ops and Digital Ordering initiatives. Manage: Discovery, Localization, Integration, Testing, Deployment Readiness, Hypercare, Transition to Support Drive governance, milestone tracking, dependency management, and risk mitigation. Coordinate enterprise integrations involving: APIs, Middleware, Payment Systems, Menu Platforms, Delivery Aggregators, Operational Systems Oversee: Data Migration, Cutover Planning, Release Readiness, Production Deployments, Global Market Readiness Support multi-country rollouts including: Language Localization, Currency Setup, Tax Configuration, Compliance Requirements, Menu Management, Drive training and change management readiness. Deliver executive reporting, escalation management, and program updates. Governance & Operations Manage: RAID Logs, KPIs, Delivery Dashboards, Dependency Tracking Ensure successful handoff to support teams after deployment. Your skills and experience 10+ years in Technical Program Management, Delivery Management, or Enterprise Software Delivery. Strong experience with: SDLC, Agile Delivery, Jira, Confluence, Enterprise Integrations, Data Migration, Release Management, Deployment Readiness Experience managing globally distributed teams. Strong stakeholder management and executive communication skills. Global Rollout & Localization Programs Preferred Experience: QSR, Retail Technology, Hospitality, eCommerce, POS Systems, Digital Ordering Platforms, Store Technology - Hybrid The base compensation range for this role in the posted location is: $82,082 - 193,440. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
About Scale For the past 12 years, Scale Media has been building and scaling science-backed wellness brands. Our portfolio of brands, including Live Conscious, 1MD, and Essential Elements, has grown to 9 figures in revenue while operating profitably with no external funding. Our team is made up of operators, marketers, and builders focused on products consumers actually trust. We're investing heavily in data and AI to sharpen how we develop products and scale brands. We believe the best decisions come from data, curiosity, and continuous learning. We value high ownership, candid feedback, and thoughtful execution. As a fully remote company, we lead with clear communication, accountability, and trust, and we give people real room to grow and make an impact. Scale Media has been recognized as one of Forbes' Best Startup Employers, a Great Place to Work, an Inc. Best Workplace, and an Inc. 5000 company. If you take ownership, think for yourself, and like solving hard problems alongside people who do the same, you'll fit right in. About the Role We are looking for a mid-level Data Analyst who is far more than a report builder. You are a "Data Detective" who understands the heartbeat of our business operations and marketing efforts. Because our Analytics team operates as a highly collaborative internal service department, you will act as a critical partner to three distinct functions: our Supply Chain, Customer Service, and Brand Marketing teams. You will not just analyze data; you will own the truth behind our Inventory, CS performance, and Brand Strategy. We need a versatile Data Master who understands the nuances of ERP platforms (Odoo) for inventory, ticketing platforms for CS, and the strategic planning required to support a marketing-driven Brand team. What You'll Do 1. Inventory & Supply Chain Analytics Predictive Forecasting: Build and maintain models to predict inventory depletion rates and recommend optimal times to place additional Purchase Orders (POs) across our brand portfolio. Platform Mastery: Ingest, clean, and analyze complex datasets from our ERP (Odoo) to provide granular insights on stock levels, lead times, and fulfillment efficiency. Supply Chain Support: Track and report on core inventory management metrics, empowering the operations team to prevent stockouts, reduce overstock, and optimize cash flow. 2. Brand Strategy & Marketing Analytics Promotion & Targeting Analysis: Partner with the Brand Marketing team to analyze the ROI of promotions, targeted campaigns, and overall brand initiatives. Help the team understand what messaging, look, and feel is resonating with our customers. New Product Launches: Support the strategy and planning phases of new product launches by providing historical data analysis, forecasting initial demand, and tracking early performance metrics. Strategic Planning: Empower the brand team with actionable data for audience segmentation, market positioning, and long-term marketing strategy. 3. Customer Service Analytics CS Performance Tracking: Analyze data from our Customer Service platforms (e.g., Zendesk, Gorgias) to track contact rates, ticket resolution times, and customer satisfaction (CSAT) scores. Operational Optimization: Identify friction points in the customer experience by connecting CS ticket data with fulfillment and inventory metrics, acting as the lead investigator for service-level drops. 4. Data Transformation & Visualization Data Preparation: While we have a Data Engineer managing the infrastructure, you will handle the "last mile" of data prep. You will use KNIME or dbt (or similar tools like Alteryx, Tableau Prep, or Python/Pandas) to clean, merge, and format data for specific analyses. Business Logic Application: Write efficient SQL to transform raw log-level data in Snowflake into usable datasets that reflect our specific business rules. Dashboarding: Design, build, and maintain high-impact dashboards in Sigma. You will translate complex SQL queries into visual stories tailored for specific stakeholders in Brand, CS, and Inventory. What We're Looking For The Essentials (Experience & Tech Stack) Experience Level: 3+ years of specific Data Analysis experience. (We are not looking for Junior Analysts or Senior Data Architects; we need a hands-on mid-level executor). Industry: Proven experience in DTC E-commerce is required. You must be fluent in Shopify and Amazon Seller Central data schemas. Warehousing & BI: Strong proficiency with Snowflake (SQL) and Sigma (building robust dashboards and workbooks). Transformation Tools: Competency in KNIME or dbt is preferred, but we are open to candidates experienced with Alteryx, Prep, or Python who can adapt quickly. ELT Familiarity: Awareness of how ELT tools (like Hevo, Fivetran, Airbyte, Azure, etc.) function, so you can communicate effectively with our Data Engineer when pipeline adjustments are needed. The "Tri-Department Support" Skill Set You are deeply versed in the ecommerce data schemas and Customer Service ticketing platforms, understanding how to extract and model complex operational data. You have experience supporting marketing or brand teams with performance analytics, targeting metrics, and tracking the success of new product launches. You have hands-on experience conducting inventory forecasting, PO timing predictions, and supply chain metric tracking. The Strategic & Operations Mindset You are comfortable bouncing between supply chain metrics (turnover ratios, lead times) and marketing metrics (conversion rates, promotion ROI). You have the patience and precision to trace a product's lifecycle from the warehouse to the customer, while also analyzing the marketing strategies that drove the initial purchase and the customer service interactions that followed. What We Offer Salary: $80,000 - $100,000 Medical, Dental, Vision and Life insurance Fully remote, full time position Monthly WFH stipend Generous Paid Time Off program Discounted Products An amazing team to work alongside Please click the link for our privacy notice: Applicant Privacy Policy Notice
09/24/2026
Full time
About Scale For the past 12 years, Scale Media has been building and scaling science-backed wellness brands. Our portfolio of brands, including Live Conscious, 1MD, and Essential Elements, has grown to 9 figures in revenue while operating profitably with no external funding. Our team is made up of operators, marketers, and builders focused on products consumers actually trust. We're investing heavily in data and AI to sharpen how we develop products and scale brands. We believe the best decisions come from data, curiosity, and continuous learning. We value high ownership, candid feedback, and thoughtful execution. As a fully remote company, we lead with clear communication, accountability, and trust, and we give people real room to grow and make an impact. Scale Media has been recognized as one of Forbes' Best Startup Employers, a Great Place to Work, an Inc. Best Workplace, and an Inc. 5000 company. If you take ownership, think for yourself, and like solving hard problems alongside people who do the same, you'll fit right in. About the Role We are looking for a mid-level Data Analyst who is far more than a report builder. You are a "Data Detective" who understands the heartbeat of our business operations and marketing efforts. Because our Analytics team operates as a highly collaborative internal service department, you will act as a critical partner to three distinct functions: our Supply Chain, Customer Service, and Brand Marketing teams. You will not just analyze data; you will own the truth behind our Inventory, CS performance, and Brand Strategy. We need a versatile Data Master who understands the nuances of ERP platforms (Odoo) for inventory, ticketing platforms for CS, and the strategic planning required to support a marketing-driven Brand team. What You'll Do 1. Inventory & Supply Chain Analytics Predictive Forecasting: Build and maintain models to predict inventory depletion rates and recommend optimal times to place additional Purchase Orders (POs) across our brand portfolio. Platform Mastery: Ingest, clean, and analyze complex datasets from our ERP (Odoo) to provide granular insights on stock levels, lead times, and fulfillment efficiency. Supply Chain Support: Track and report on core inventory management metrics, empowering the operations team to prevent stockouts, reduce overstock, and optimize cash flow. 2. Brand Strategy & Marketing Analytics Promotion & Targeting Analysis: Partner with the Brand Marketing team to analyze the ROI of promotions, targeted campaigns, and overall brand initiatives. Help the team understand what messaging, look, and feel is resonating with our customers. New Product Launches: Support the strategy and planning phases of new product launches by providing historical data analysis, forecasting initial demand, and tracking early performance metrics. Strategic Planning: Empower the brand team with actionable data for audience segmentation, market positioning, and long-term marketing strategy. 3. Customer Service Analytics CS Performance Tracking: Analyze data from our Customer Service platforms (e.g., Zendesk, Gorgias) to track contact rates, ticket resolution times, and customer satisfaction (CSAT) scores. Operational Optimization: Identify friction points in the customer experience by connecting CS ticket data with fulfillment and inventory metrics, acting as the lead investigator for service-level drops. 4. Data Transformation & Visualization Data Preparation: While we have a Data Engineer managing the infrastructure, you will handle the "last mile" of data prep. You will use KNIME or dbt (or similar tools like Alteryx, Tableau Prep, or Python/Pandas) to clean, merge, and format data for specific analyses. Business Logic Application: Write efficient SQL to transform raw log-level data in Snowflake into usable datasets that reflect our specific business rules. Dashboarding: Design, build, and maintain high-impact dashboards in Sigma. You will translate complex SQL queries into visual stories tailored for specific stakeholders in Brand, CS, and Inventory. What We're Looking For The Essentials (Experience & Tech Stack) Experience Level: 3+ years of specific Data Analysis experience. (We are not looking for Junior Analysts or Senior Data Architects; we need a hands-on mid-level executor). Industry: Proven experience in DTC E-commerce is required. You must be fluent in Shopify and Amazon Seller Central data schemas. Warehousing & BI: Strong proficiency with Snowflake (SQL) and Sigma (building robust dashboards and workbooks). Transformation Tools: Competency in KNIME or dbt is preferred, but we are open to candidates experienced with Alteryx, Prep, or Python who can adapt quickly. ELT Familiarity: Awareness of how ELT tools (like Hevo, Fivetran, Airbyte, Azure, etc.) function, so you can communicate effectively with our Data Engineer when pipeline adjustments are needed. The "Tri-Department Support" Skill Set You are deeply versed in the ecommerce data schemas and Customer Service ticketing platforms, understanding how to extract and model complex operational data. You have experience supporting marketing or brand teams with performance analytics, targeting metrics, and tracking the success of new product launches. You have hands-on experience conducting inventory forecasting, PO timing predictions, and supply chain metric tracking. The Strategic & Operations Mindset You are comfortable bouncing between supply chain metrics (turnover ratios, lead times) and marketing metrics (conversion rates, promotion ROI). You have the patience and precision to trace a product's lifecycle from the warehouse to the customer, while also analyzing the marketing strategies that drove the initial purchase and the customer service interactions that followed. What We Offer Salary: $80,000 - $100,000 Medical, Dental, Vision and Life insurance Fully remote, full time position Monthly WFH stipend Generous Paid Time Off program Discounted Products An amazing team to work alongside Please click the link for our privacy notice: Applicant Privacy Policy Notice
About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. About the Role We're seeking an Associate Product Manager to drive high-impact initiatives across our Ads organization. This role sits at the intersection of product strategy, analytics, and engineering with ownership across our entire ads portfolio from day one. You won't be siloed into a single feature; you'll drive initiatives that touch Ads Manager, creative workflows, mobile app install, ecommerce, CTV, measurement, and strategic partnerships. You'll operate with significant autonomy in a fast-paced environment, working directly with leadership to shape product direction across AppLovin's advertising ecosystem. A Day in the Life Design and launch new advertiser experiences across our ads products, including creative-first workflows, campaign management tools, and new ad formats. Own advertiser pilot programs by identifying early adopters, coordinating feedback across Product, Engineering, Design, and Client Strategy teams, and measuring uplift in key KPIs like usage and adoption. Experiment with ad experience formats and analyze performance data to determine what drives better outcomes for advertisers and users. Define success metrics and evaluate product performance through rigorous experimentation and A/B testing. Build analyses using SQL to understand advertiser behavior, product usage, campaign performance, and revenue impact. Identify product gaps and growth opportunities, develop product recommendations, and influence roadmap decisions through quantitative data, customer feedback, and market insights. Help scope and launch integrations with third-party measurement, attribution, and ecommerce platforms. Partner with Engineering, Product Design, Business Development, and Growth teams to drive initiatives from concept through launch including ideation, scoping, prototyping, QA testing, gathering client feedback, and post-launch measurement. Monitor key business metrics, investigate performance trends, and develop recommendations that influence product strategy. The Impact You'll Make Drive measurable improvements in advertiser adoption, engagement, and product usage. Shape the evolution of AppLovin's advertising platform through experimentation and data-driven decision making. Influence product strategy across mobile, ecommerce, and CTV advertising products. Help advertisers achieve stronger outcomes through improved workflows, tools, and measurement capabilities. Build scalable frameworks for experimentation, product measurement, and feature rollout. Who You Are Bachelor's degree or higher in Engineering, Computer Science, Economics, Finance, Statistics, Mathematics, Business Analytics, or a related quantitative field. 2-4 years of post-graduation experience in product, business operations and analytics, management consulting, investment banking, or investing. Strong SQL skills and proficiency in at least one scripting language (Python strongly preferred). Demonstrated ability to independently scope ambiguous problems, design analyses, synthesize findings, and present recommendations. Strong track record of driving measurable business impact through data-driven decision making. Highly analytical with excellent problem-solving skills and business judgment. Comfortable operating in a fast-paced environment with significant ownership and autonomy. Strong communicator who can influence both technical and non-technical stakeholders. Naturally curious, proactive, and motivated by solving complex business problems. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to . CA Base Pay Range $111,000-$167,000 USD AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in California, learn more here. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.
09/23/2026
Full time
About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. About the Role We're seeking an Associate Product Manager to drive high-impact initiatives across our Ads organization. This role sits at the intersection of product strategy, analytics, and engineering with ownership across our entire ads portfolio from day one. You won't be siloed into a single feature; you'll drive initiatives that touch Ads Manager, creative workflows, mobile app install, ecommerce, CTV, measurement, and strategic partnerships. You'll operate with significant autonomy in a fast-paced environment, working directly with leadership to shape product direction across AppLovin's advertising ecosystem. A Day in the Life Design and launch new advertiser experiences across our ads products, including creative-first workflows, campaign management tools, and new ad formats. Own advertiser pilot programs by identifying early adopters, coordinating feedback across Product, Engineering, Design, and Client Strategy teams, and measuring uplift in key KPIs like usage and adoption. Experiment with ad experience formats and analyze performance data to determine what drives better outcomes for advertisers and users. Define success metrics and evaluate product performance through rigorous experimentation and A/B testing. Build analyses using SQL to understand advertiser behavior, product usage, campaign performance, and revenue impact. Identify product gaps and growth opportunities, develop product recommendations, and influence roadmap decisions through quantitative data, customer feedback, and market insights. Help scope and launch integrations with third-party measurement, attribution, and ecommerce platforms. Partner with Engineering, Product Design, Business Development, and Growth teams to drive initiatives from concept through launch including ideation, scoping, prototyping, QA testing, gathering client feedback, and post-launch measurement. Monitor key business metrics, investigate performance trends, and develop recommendations that influence product strategy. The Impact You'll Make Drive measurable improvements in advertiser adoption, engagement, and product usage. Shape the evolution of AppLovin's advertising platform through experimentation and data-driven decision making. Influence product strategy across mobile, ecommerce, and CTV advertising products. Help advertisers achieve stronger outcomes through improved workflows, tools, and measurement capabilities. Build scalable frameworks for experimentation, product measurement, and feature rollout. Who You Are Bachelor's degree or higher in Engineering, Computer Science, Economics, Finance, Statistics, Mathematics, Business Analytics, or a related quantitative field. 2-4 years of post-graduation experience in product, business operations and analytics, management consulting, investment banking, or investing. Strong SQL skills and proficiency in at least one scripting language (Python strongly preferred). Demonstrated ability to independently scope ambiguous problems, design analyses, synthesize findings, and present recommendations. Strong track record of driving measurable business impact through data-driven decision making. Highly analytical with excellent problem-solving skills and business judgment. Comfortable operating in a fast-paced environment with significant ownership and autonomy. Strong communicator who can influence both technical and non-technical stakeholders. Naturally curious, proactive, and motivated by solving complex business problems. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to . CA Base Pay Range $111,000-$167,000 USD AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in California, learn more here. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.
