Master Data Management Manager Jobs

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Product team The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision. About the role Millions of people use the Affirm Card, but we don’t yet give them a reason to keep coming back beyond the product itself. You’ll build our consumer loyalty program from scratch: what people earn, how they move up, and why Affirm becomes their default way to pay. What you’ll do Own the vision and roadmap for Affirm’s consumer loyalty program, setting the hypotheses, success metrics, and sequencing across multiple quarters Launch the first version of rewards and tiers, including earn mechanics, member benefits, redemption, and the surfaces that make the value obvious in app, at checkout, and after a purchase Build the engagement loops (progress, milestones, personalized offers) that turn a one-time borrower into someone who reaches for Affirm every week Own the program economics: reward liability, funding mix across merchant-funded offers, interchange and network incentives, and the case for incremental GMV against cost per member Set up the measurement foundation for loyalty, including holdouts, incrementality testing and long-run LTV, then tune earn and burn rates and tier thresholds off what the data says Partner with Risk, Credit, Legal, Compliance, Finance and Marketing to design rewards that are compliant and clearly disclosed, with no hidden fees or fine print that surprises peopl

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Product team The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision. About the role Millions of people use the Affirm Card, but we don’t yet give them a reason to keep coming back beyond the product itself. You’ll build our consumer loyalty program from scratch: what people earn, how they move up, and why Affirm becomes their default way to pay. What you’ll do Own the vision and roadmap for Affirm’s consumer loyalty program, setting the hypotheses, success metrics, and sequencing across multiple quarters Launch the first version of rewards and tiers, including earn mechanics, member benefits, redemption, and the surfaces that make the value obvious in app, at checkout, and after a purchase Build the engagement loops (progress, milestones, personalized offers) that turn a one-time borrower into someone who reaches for Affirm every week Own the program economics: reward liability, funding mix across merchant-funded offers, interchange and network incentives, and the case for incremental GMV against cost per member Set up the measurement foundation for loyalty, including holdouts, incrementality testing and long-run LTV, then tune earn and burn rates and tier thresholds off what the data says Partner with Risk, Credit, Legal, Compliance, Finance and Marketing to design rewards that are compliant and clearly disclosed, with no hidden fees or fine print that surprises peopl

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. THE OPPORTUNITY Auth0 is a leading identity platform that secures billions of logins every year for organizations around the world. We're trusted by enterprises, startups, and developers to simplify identity and access management across any application, on any platform, anywhere. We're seeking a Product Operations Manager with a strong focus on data and analytics to help us turn raw data into meaningful business insights. Reporting to the Head of Product Operations, you'll be the person who looks at what the data is telling us and connects it to what it means for the business — revenue, retention, growth, and product direction. This is not a pure analyst role. You'll need to understand the business deeply enough to ask the right questions of the data, and communicate the answers in a way that drives real decisions. You're equally comfortable working in a dashboard as you are in a leadership meeting explaining what the numbers mean and why they matter. KEY RESPONSIBILITIES: Turning Data Into Business Insight: Take raw product and business data and translate it into clear narratives about what is working, what isn't, and where the opportunity lies. Build and maintain decks and dashboards that go beyond reporting numbers, telling a story and driving action. Work with Product to define the KPIs and metrics that matter most to the business and ensure teams understand how to track them, and how their work connects to those outcomes. Ident

The Staff Product Manager is an Individual Contributor (IC) product leader responsible for a broad platform surface for Atlas Infinite at MongoDB. Atlas Infinite is the largest architectural innovation in MongoDB Atlas ever, purpose-built to handle today's speed and scale of development and demand. In this position, you will own and solve end-to-end problems around the user experience and database experience of Atlas Infinite, including but limited to feature discovery, activation, monetization, and retention. You will see patterns, opportunities, and risks across areas, own cross-team product and architectural trade-offs, establish reusable standards for PM craft, and align senior stakeholders around multi-year bets. You have deep knowledge of cloud database platforms, distributed data systems, and enterprise product development. You will partner closely with cross-functional engineering leaders, product peers, and executive stakeholders to drive outcomes across organizational boundaries, guiding a portfolio spanning Atlas Infinite's disaggregated compute and storage architecture, production workload readiness, migration and Atlas interoperability, and the new customer experiences this architecture may make possible. You will not inherit a closed list of future features: part of your mandate is to discover opportunities we have not yet articulated and challenge assumptions about which problems matter most. With AWS public preview now live, you will help turn real workload evidence into a credible path to GA and subsequent releases, in close partnership with the existing team. This role can be based out of a MongoDB office or remotely in Canada. Responsibilities Interlinked Vision & Multi-Year Bets: Set and champion a product vision across Atlas Infinite's capabilities, while actively discovering opportunities that are not on today's roadmap or fit any single team's remit. Explore what decoupled compute and storage could make possible for developers, enter

The Staff Product Manager is an Individual Contributor (IC) product leader responsible for a broad platform surface for Atlas Infinite at MongoDB. Atlas Infinite is the largest architectural innovation in MongoDB Atlas ever, purpose-built to handle today's speed and scale of development and demand. In this position, you will own and solve end-to-end problems around the user experience and database experience of Atlas Infinite, including but limited to feature discovery, activation, monetization, and retention. You will see patterns, opportunities, and risks across areas, own cross-team product and architectural trade-offs, establish reusable standards for PM craft, and align senior stakeholders around multi-year bets. You have deep knowledge of cloud database platforms, distributed data systems, and enterprise product development. You will partner closely with cross-functional engineering leaders, product peers, and executive stakeholders to drive outcomes across organizational boundaries, guiding a portfolio spanning Atlas Infinite's disaggregated compute and storage architecture, production workload readiness, migration and Atlas interoperability, and the new customer experiences this architecture may make possible. You will not inherit a closed list of future features: part of your mandate is to discover opportunities we have not yet articulated and challenge assumptions about which problems matter most. With AWS public preview now live, you will help turn real workload evidence into a credible path to GA and subsequent releases, in close partnership with the existing team. This role can be based out of a MongoDB office or remotely in the United States. Responsibilities Interlinked Vision & Multi-Year Bets: Set and champion a product vision across Atlas Infinite's capabilities, while actively discovering opportunities that are not on today's roadmap or fit any single team's remit. Explore what decoupled compute and storage could make possible for develo

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic, the Search AI Company, is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organizations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate. In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers. What You Will Be Doing Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents Deeply understand the AI Agent market, major players, trends and how it may impact our strategy Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities Work with design to build user experiences that address gaps in how agents show and refine context a

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Compliance Architect to join our team. This is a Remote (if located outside of the San Jose, CA area) or Hybrid (based in San Jose, CA) role, reporting to the Director, Technology Risk and Compliance in the Exposure Management & Security Operations department. Zscaler is seeking an experienced Staff Compliance Architect to serve as the compliance team’s technical subject matter expert and to embed scalable, auditable compliance requirements into product and infrastructure delivery. This role brings an architectural mindset to compliance, partnering closely with Engineering, Product, Compliance Engineering, and Authorization Operations (AuthOps) to translate regulatory and assurance obligations into clear technical requirements, standardized implementation patterns, and automated validation. What you’ll do (Role Expectations) Define and maintain enterprise privacy baseline requirements, em

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic, the Search AI Company, is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organizations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate. In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers. What You Will Be Doing Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents Deeply understand the AI Agent market, major players, trends and how it may impact our strategy Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities Work with design to build user experiences that address gaps in how agents show and refine context a

Technical Project Manager itD is seeking a Technical Project Manager to drive the delivery of legal and privacy approval workstreams that support business marketing technology and data-integration launches. The ideal candidate will bring deep experience in program/project management, cross-functional coordination, legal/privacy/compliance workflows, and evidence-driven delivery , with a track record of keeping multiple workstreams on schedule against fixed launch dates. Location: Remote; Pacific Time preferred, but not required. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Drive multiple legal and privacy risk assessments through review and approval in parallel, prioritizing true launch blockers against fixed timelines. Scope assessments with Legal and Privacy partners and adjust scope as needed to protect critical-path delivery dates. Gather, validate, and coordinate required evidence and documentation across engineering, data, business, Legal, and Privacy stakeholders. Manage assessment intake, review, remediation, and approval cycles end to end, following up on open items and pending reviews. Publish recurring status updates for senior stakeholders with clear ownership, next steps, timelines, and risks for each workstream. Escalate blockers and timeline risks early, providing a recommended path forward and coordinating the technical consultations needed to resolve gaps. Navigate a large, matrixed organization to identify and mobilize the appropriate subject-matter experts, reviewers, and process owners while documenting decisions and identifying process improvements. Internal Responsibilities Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material, including blogs and media materi

The Internal Product Analytics (IPA) team is the analytics backbone of Datadog's Product organization. With over thirty products on a single platform, IPA gives PMs and leadership the data, tooling, platform, and analysis they need to make good decisions. The team owns the recurring analytical work the Product org runs on and builds the AI-first workflows that make that analysis faster and more consistent across the org. As Manager of the Internal Product Analytics team, you will directly manage a team of data analysts, partner closely with the PMs your team serves, and partner with the associated platform engineering teams. You will set the direction for how the team delivers analysis, builds AI-first tooling, and partners across functions. This is a role for someone who works well across teams, turning complex data and open questions into clear, trusted answers that PMs and leadership can act on. What You'll Do: Guide and grow the Internal Product Analytics team. Manage, coach, and develop a team of data analysts. Set priorities, hold a high bar for quality, and make sure the team's output is trusted across the Product org. Partner directly with the PM org. Work side by side with the PMs your team serves to frame the questions that matter, shape the analysis, and make sure the answers reach them in a form they can act on. Own the recurring analytics the PM org runs on. Business reviews, feature request analysis, usage and adoption tracking, and pricing analysis. Make this work consistent, repeatable, and fast so PMs get answers when they need them. Build AI-first analytics. Design and ship AI-powered workflows and agents that do the heavy lifting of analysis, from data querying to synthesis to reporting. Set the standard for how the team uses AI so analysis scales without simply adding headcount. Partner across functions. Work with Finance, Data Platform, Engineering, and Revenue teams to align on definitions, source the right data, and turn raw signals into decis

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Product Manager in the Control Plane team, which owns the Elastic Cloud's backend and Elastic's orchestration products. You will ensure Elastic’s leading market position by managing a product portfolio that offers delightful experiences for customers at any scale. What You Will Be Doing Define parts of the vision and roadmap for Elastic’s Control Plane team, with a focus on new management, orchestration and scaling capabilities. Collaborate with your Engineering counterparts to prioritize Collaborate with the Sales & Marketing teams on go-to-market, messaging, competitive analysis and enablement. Gather market competitive and trend data, customer and community feedback and usage information to develop product insights. What You Bring 4+ years of Product Management experience with deep technical products. Solid understanding and familiarity with infrastructure cloud technologies, distributed data stores and developer-focused products in general. You have a proven track record of using AI to accelerate your work, while still owning the final outcomes. You possess the ability to collaborate across functions and teams and seamlessly transition between different projects based on business priorities You can work autonomously, drive decisions and results in a distributed team by le

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Product Manager in the Control Plane team, which owns the Elastic Cloud's backend and Elastic's orchestration products. You will ensure Elastic’s leading market position by managing a product portfolio that offers delightful experiences for customers at any scale. What You Will Be Doing Define parts of the vision and roadmap for Elastic’s Control Plane team, with a focus on new management, orchestration and scaling capabilities. Collaborate with your Engineering counterparts to prioritize Collaborate with the Sales & Marketing teams on go-to-market, messaging, competitive analysis and enablement. Gather market competitive and trend data, customer and community feedback and usage information to develop product insights. What You Bring 4+ years of Product Management experience with deep technical products. Solid understanding and familiarity with infrastructure cloud technologies, distributed data stores and developer-focused products in general. You have a proven track record of using AI to accelerate your work, while still owning the final outcomes. You possess the ability to collaborate across functions and teams and seamlessly transition between different projects based on business priorities You can work autonomously, drive decisions and results in a distributed team by le

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is building the platform that teams rely on to make data useful, reliable, and ready for the age of AI. As customers shift from batch analytics to real-time systems and intelligent applications, streaming is becoming core to how data is produced, consumed, and acted upon. We are seeking a Senior Product Manager to lead Snowflake’s Streaming Platform. This role is at the center of the real-time data shift, defining how data in motion becomes data that teams can trust, analyze, and use to power AI-driven workflows. Streaming is the backbone for modern applications, operational analytics, and Agent to Agent pipelines. If you are passionate about distributed systems, care about craft, and want to work on problems that matter at massive scale, this is a rare opportunity to build something foundational. What You Will Do Product Vision: Own the product direction, strategy, and roadmap for Snowflake’s streaming capabilities. Execution: Translate complex customer problems into clear product bets and successfully shipped features. Engineering Partnership: Collaborate closely with engineering on system design, trade-offs, and execution. User Focus: Spend time with users to understand what is broken, what is missing, and what matters most. Design & GTM: Partner with desig

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica