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Outreach, founded in 2014, is the only complete platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.

The Team

Outreach is the agentic revenue platform built for modern go-to-market teams. We help revenue organizations run their entire sales motion, from first touch to closed deal to post sales, inside a single platform that goes beyond insights and delivers actions to sellers to move deals and revenue forward.

Conversation intelligence, voice, and dialing sit at the center of that motion. Every customer conversation generates signal. Outreach captures that signal and turns it into action: real-time coaching for reps, automatic follow-ups, and the deal and pipeline intelligence leaders need to know where to focus, what to fix, and how to improve. Reps close more. Leaders lead better. The conversation is where it starts.

The Role

This leader will own product strategy and execution across conversation intelligence, voice, meeting intelligence, and dialing. The mission is to transform every customer conversation into agentic action: coaching reps in the moment, accelerating deals, and giving leaders a clear, data-driven view of where to invest their time and how to improve their team performance and sales strategy.

This role sits at the intersection of AI and data, voice and video, to deliver real-time coaching and actions. It requires a sharp point of view on both seller and sales leadership personas, and a track record of building product that changes how teams work, not just how they report.

Listed by Outreach.io for a position based in the United States. Employers on this board attest they are hiring domestically.

Product Management

68 days ago

Product Manager, Semantic Layer

Anduril Industries · Costa Mesa, California, United States

Pay

$166k–220k

Setting

On-site

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

CorpTech Platform is the internal engineering force multiplier behind Anduril's corporate systems.
It drives CorpTech engineering forward through strategic investment in data platforms, software platforms, QA and release excellence, ERP engineering, and AI infrastructure.

We build the foundations that power both CorpOS, enabling Finance and Growth to operate with speed and precision, and ArsenalOS, the digital backbone of Anduril's hardware enterprise. By unifying systems, accelerating development velocity, and embedding intelligence into every layer, CorpTech Platform transforms how the company operates end to end.

We are driving Anduril toward becoming an autonomous enterprise. Through initiatives like the Autonomous Software Factory, we are rethinking how software is built, tested, deployed, and evolved by integrating AI into the engineering lifecycle.

ABOUT THE JOB

Anduril runs on trusted data, and today too much of it means different things to different teams. The Product Manager, Semantic Layer & Ontology owns the product suite that lets us define, build, and maintain a single semantic layer: the shared metrics, dimensions, entities, and relationships that data engineering, analytics engineering, analytics, and master data management all build against. This is a hands-on role. You will submit code PRs with AI coding agents to extend the semantic models, ui, and tooling. You will sit at the seam of every data function, so the definitions you ship become the version of the truth the business reports on.

WHAT YOU'LL DO

Own product strategy, roadmap, and success metrics for the product suite that supports building and maintaining the semantic layer and ontology.
Partner across data engineering, analytics engineering, data analytics, and master data management to define shared metrics, dimensions, entities, and relationships once, then reuse them everywhere.
Turn conflicting definitions, data disputes, and modeling ambiguity into a governed source of truth that teams adopt.
Act as a hands-on builder by submitting code PRs with AI coding agents such as Claude Code for the semantic layer application.
Build and operate a feedback and triage loop for definition requests, data-quality issues, and adoption blockers.
Define governance and contribution standards for the ontology, including ownership, versioning, and change management, so the model stays coherent as sources and teams grow.
Balance a canonical master data model against the speed analytics and downstream teams need to ship.
Communicate modeling decisions, trade-offs, and data-quality risks to data teams, business stakeholders, and senior leadership.
Establish a model for AI-enabled product development where the PM contributes directly to the semantic layer without compromising lineage, reliability, or governance.

REQUIRED QUALIFICATIONS

5+ years of experience across product management and one or more data functions: data engineering, analytics engineering, data analytics, or master data management, in a fast-paced environment.
Demonstrated experience owning a data product, or working in a data technical function and pivoting into product.
Demonstrated builder orientation, including submitting code such as SQL, dbt, Python, or semantic-layer definitions, and shipping with AI coding agents.
Strong technical fluency in semantic layers, dimensional modeling, data pipelines, and the trade-offs between a governed model and local team speed.
Demonstrated ability to work across multiple data teams with competing definitions and align them on a shared model.
Ability to operate with high autonomy while maintaining judgment, communication, and alignment across data engineering, business partners, and leadership.
Excellent written and verbal communication skills, with the ability to influence senior engineers, data teams, and executive leadership.
Degree in Computer Science, Information Systems, Engineering, Statistics, or related field, or equivalent practical experience.
U.S. Person status is required as this position needs to access export controlled data.

PREFERRED QUALIFICATIONS

Hands-on experience with a semantic layer or metrics layer (dbt Semantic Layer, Cube, LookML, AtScale, Malloy, or similar) and modern warehouses such as Snowflake, BigQuery, or Databricks.
Experience owning or contributing to a master data management program, including entity resolution, golden records, and stewardship.
Familiarity with frontier AI tooling, AI coding assistants, and agentic development workflows applied to data and analytics.
Experience building against a data catalog, lineage, or governance tooling in a large or fast-growing data estate.
Familiarity with enterprise systems and business process domains such as ERP, CRM, finance, supply chain, or manufacturing.
Experience in hyper growth startup-like environments, with demonstrated success balancing speed, ambiguity, autonomy, and long-term data health.
Eligible to obtain and maintain a U.S. Secret security clearance.

US Salary Range

$166,000—$220,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an address.
- Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy

To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Listed by Anduril Industries for a position based in the United States. Employers on this board attest they are hiring domestically.

Product Management

81 days ago

Principal Technical Product Manager (R5249)

Shield AI · United States

Pay

$220k–330k

Setting

Remote

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🍪 denyaccept Privacy Notice This website uses cookies to improve your web experience. By clicking Accept, you agree to the use of cookies. Principal Technical Product Manager (R5249) United States / San Diego, California / Washington, DC / San Mateo, California / Dallas, Texas / RemoteHivemind Special Division – Special Projects /Full Time Employee /On-Site APPLY FOR THIS JOB Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ...). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Own product definition, roadmap, and metrics across the office of the CTO's agentic AI portfolio: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data modernization and app development. Translate CTO strategy into crisp requirements, milestones, exit criteria, and KPIs — then hold the line on them. Drive adoption of internal platforms: reduce onboarding friction, instrument usage, track NPS and active users, and run developer advocacy and objection handling. Shape product direction for foundation-model based autonomy architectures and model lifecycle tooling (evaluation, fine-tuning, verification, deployment). Run continuous discovery with engineers, operators, and executive stakeholders; turn findings into prioritized backlogs. Prioritize ruthlessly across competing initiatives with small teams and aggressive timelines. Analyze the agentic tooling, enterprise AI platform, and foundation model ecosystem; recommend build/buy/partner positions to leadership. Author strategy documents, product briefs, and executive updates that drive decisions. Manage transitions of maturing products from incubation to owning organizations. Required qualifications: 8+ years of product management for deeply technical products; engineering or CS background. Technical fluency: you read code, work APIs and CLIs from a terminal, and prototype with AI coding tools yourself. Shipped developer tools, internal platforms, or AI/ML products — and drove their adoption. Working fluency in LLM-based systems: agents, evaluation, context management, fine-tuning trade-offs. Metrics-driven operating style: you define KPIs, instrument products, and report against thresholds and objectives. Exceptional written communication — requirements, strategy docs, executive briefs. Proven stakeholder management up to the executive level across engineering, product, and business functions. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Prior experience as a software engineer. Experience in defense, aerospace, or other regulated environments (CUI/ITAR, restricted or disconnected deployments). Experience with enterprise data platforms (e.g. Databricks) and ERP/business-system integration. Experience with safety-critical or assurance-driven software processes (requirements traceability, V&V, certification artifacts). Experience taking zero-to-one internal products through incubation, adoption, and handoff. Experience with robotics or autonomy products. $220,000 - $330,000 a year #LI-KC3 #LF Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. APPLY FOR THIS JOB Shield AI Home Page Jobs powered by

Listed by Shield AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Product Management

82 days ago

Product Lead, Data Products

Stripe · New York City, San Francisco

Pay

$135k–230k

Setting

On-site

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Opportunity Compatibility Emerging talent Open roles Roles at Stripe / Role details Product Lead, Data Products About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the Team Every business running on Stripe eventually asks the same questions: What's happening with my business? What does it mean for my company? How do I reconcile my books? And how do I get my Stripe data into my own systems and apps? This is all becoming even more important in the era of AI, where merchant’s agents need the right access to, and understanding of, Stripe’s data. The Data Products team exists to answer those questions — at any scale, for any business. We build the products that turn Stripe's rich transaction data into understanding and action: Sigma for deep SQL-powered analytics, Stripe Data Pipeline for delivering Stripe data directly into merchants' own warehouses and applications, and databases for surfacing the right insight, in context, right inside the Dashboard. Our users range from a founder running their first revenue report to an enterprise finance team reconciling millions of transactions across dozens of markets, to any agent working on a merchant’s behalf. What they all share is a need to trust their data, understand their business, and move fast. We make that possible. About the Role As the PM leading Data Products, you will own the product strategy and execution for Stripe's merchant-facing data portfolio — defining what it means for Stripe to be the best data platform for our merchants and agents. You'll set the direction across Sigma, SDP, and other data products, lead a team of PMs, and work closely with engineering, design, sales, and Stripe customers to shape how businesses access, analyze, and act on their Stripe data. This is a high-stakes, high-visibility role. Data access is increasingly a core buying criterion for Stripe's largest customers, and the competitive landscape for data portability and embedded analytics is evolving fast. You'll need to think strategically about platform positioning, lead through ambiguity, and ship products that work flawlessly for a very sophisticated user base. What You'll Do Set and own the product strategy for Stripe’s data products, defining the multi-year vision and translating it into a coherent roadmap that balances enterprise growth, self-serve expansion, and platform quality Lead and develop a PM team. Manage, mentor, and hire PMs; build a high-caliber team culture with strong product craft and clear ownership Drive revenue and retention outcomes. Deeply understand the commercial role of data products in Stripe's sales and self serve motions and build accordingly Define what "great" looks like for merchant data access — from schema design and query performance to delivery reliability, latency SLAs, and integrations with third-party warehouses (Snowflake, BigQuery, Redshift, Databricks) Partner with enterprise customers. Engage directly with Stripe's largest users to understand how they use and rely on their Stripe data, and feed those insights back into the roadmap Navigate deep technical complexity. Work fluently with data engineering and infrastructure teams on the underlying Reporting Data Warehouse and data pipeline architecture Anticipate the AI shift. Identify how AI-native workflows (agentic data access, natural language querying, automated reporting) should reshape the product surface over the next 2–3 years Communicate and influence broadly. Write crisp strategy docs, earn trust from senior stakeholders across Product, Sales, and Finance, and represent Data Products clearly at the leadership level Who You Are 10+ years in product management, including experience leading or managing PM teams of 5+ PMs Deep expertise in data products. You have shipped at least one of: a BI/analytics tool, a data integration product, a warehouse connector, or a developer data API Strong commercial intuition. You understand how data products drive enterprise deal velocity, expansion, and retention, and you've worked closely with Sales and CS on product strategy Technically fluent. You can hold your own in discussions about data pipeline architecture, warehouse connectors, SQL query execution, and data delivery semantics; you don't need to write the code but you need to understand the tradeoffs Exceptional written communicator. You write with the clarity and precision Stripe's culture demands, from a tight decision memo to a multi-year strategy narrative High ownership instincts. You proactively identify what needs to happen, move fast without waiting for permission, and hold yourself accountable to outcomes Comfortable in a complex stakeholder environment. Data products touch engineering, enterprise sales, customer success, finance, and legal; you can align them without losing pace Nice to Have Experience building products on top of or integrating with major cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks) Familiarity with Stripe's data model and the kinds of analytics questions merchants care about (payments, disputes, revenue recognition, reconciliation) Background in fintech or payments — you understand the data complexity that comes with operating across hundreds of payment methods, currencies, and regulatory regimes Why This Role Stripe's merchants run their businesses on Stripe data. When Stripe’s data products surface the right insight at the right moment — merchants make better decisions, and they stay on Stripe. This role is a direct lever on that outcome. You'll have meaningful scope, a strong team, and the opportunity to define what world-class data access looks like for the most important businesses in the world. In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. Pay and benefits The annual US base salary range for this role is $268,000 - $402,000. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. We look forward to hearing from you. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. Apply now Please find our California applicant personal information notice here. Company Stripe Office location South San Francisco HQ Employment type Full time Apply for this role Products and pricing Pricing Atlas Authorization Boost Billing Capital Capital for platforms Checkout Climate Connect Crypto Crypto Onramp Data Pipeline Elements Financial Connections Global Payouts Identity Invoicing Issuing Link Managed Payments Payment links Payment methods Payments Radar Revenue Recognition Stripe Sigma Subscriptions Tax Terminal Treasury Treasury for platforms Usage-based billing Solutions Enterprises Startups Agentic commerce Crypto Ecommerce Embedded finance Finance automation Global businesses In-app payments Marketplaces Money management Platforms SaaS AI companies Creator economy Fintech Gaming Hospitality, travel, and leisure Insurance Media and entertainment Nonprofits Professional services Public sector Retail Developers Documentation API reference API status API changelog Libraries and SDKs Stripe Projects Developer blog Integrations and custom solutions Stripe App Marketplace Stripe Partner ecosystem Professional services Resources Product roadmap Guides Customer stories Blog Community Sessions annual conference Privacy and terms Prohibited and restricted businesses Licenses Sitemap Cookie settings Your privacy choices More resources Company Careers Newsroom Stripe Press Contact sales Support Get support Managed support plans CA residents: +1 888 926 2289 Sign in United States(English) © 2026 Stripe, LLC.

Listed by Stripe for a position based in the United States. Employers on this board attest they are hiring domestically.

Product Management

82 days ago

Product Lead, Data Products

Stripe · New York City, San Francisco

Pay

$135k–230k

Setting

On-site

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Listed by Stripe for a position based in the United States. Employers on this board attest they are hiring domestically.

Product Management

82 days ago

Product Lead, Data Products

Stripe · South San Francisco HQ, US

Pay

$268k–402k

Setting

On-site

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About StripeStripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.About the TeamEvery business running on Stripe eventually asks the same questions: What's happening with my business? What does it mean for my company? How do I reconcile my books? And how do I get my Stripe data into my own systems and apps? This is all becoming even more important in the era of AI, where merchant’s agents need the right access to, and understanding of, Stripe’s data.The Data Products team exists to answer those questions — at any scale, for any business. We build the products that turn Stripe's rich transaction data into understanding and action: Sigma for deep SQL-powered analytics, Stripe Data Pipeline for delivering Stripe data directly into merchants' own warehouses and applications, and databases for surfacing the right insight, in context, right inside the Dashboard.Our users range from a founder running their first revenue report to an enterprise finance team reconciling millions of transactions across dozens of markets, to any agent working on a merchant’s behalf. What they all share is a need to trust their data, understand their business, and move fast. We make that possible.About the RoleAs the PM leading Data Products, you will own the product strategy and execution for Stripe's merchant-facing data portfolio — defining what it means for Stripe to be the best data platform for our merchants and agents. You'll set the direction across Sigma, SDP, and other data products, lead a team of PMs, and work closely with engineering, design, sales, and Stripe customers to shape how businesses access, analyze, and act on their Stripe data.This is a high-stakes, high-visibility role. Data access is increasingly a core buying criterion for Stripe's largest customers, and the competitive landscape for data portability and embedded analytics is evolving fast. You'll need to think strategically about platform positioning, lead through ambiguity, and ship products that work flawlessly for a very sophisticated user base.What You'll DoSet and own the product strategy for Stripe’s data products, defining the multi-year vision and translating it into a coherent roadmap that balances enterprise growth, self-serve expansion, and platform qualityLead and develop a PM team. Manage, mentor, and hire PMs; build a high-caliber team culture with strong product craft and clear ownershipDrive revenue and retention outcomes. Deeply understand the commercial role of data products in Stripe's sales and self serve motions and build accordinglyDefine what "great" looks like for merchant data access — from schema design and query performance to delivery reliability, latency SLAs, and integrations with third-party warehouses (Snowflake, BigQuery, Redshift, Databricks)Partner with enterprise customers. Engage directly with Stripe's largest users to understand how they use and rely on their Stripe data, and feed those insights back into the roadmapNavigate deep technical complexity. Work fluently with data engineering and infrastructure teams on the underlying Reporting Data Warehouse and data pipeline architectureAnticipate the AI shift. Identify how AI-native workflows (agentic data access, natural language querying, automated reporting) should reshape the product surface over the next 2–3 yearsCommunicate and influence broadly. Write crisp strategy docs, earn trust from senior stakeholders across Product, Sales, and Finance, and represent Data Products clearly at the leadership levelWho You Are10+ years in product management, including experience leading or managing PM teams of 5+ PMsDeep expertise in data products. You have shipped at least one of: a BI/analytics tool, a data integration product, a warehouse connector, or a developer data APIStrong commercial intuition. You understand how data products drive enterprise deal velocity, expansion, and retention, and you've worked closely with Sales and CS on product strategyTechnically fluent. You can hold your own in discussions about data pipeline architecture, warehouse connectors, SQL query execution, and data delivery semantics; you don't need to write the code but you need to understand the tradeoffsExceptional written communicator. You write with the clarity and precision Stripe's culture demands, from a tight decision memo to a multi-year strategy narrativeHigh ownership instincts. You proactively identify what needs to happen, move fast without waiting for permission, and hold yourself accountable to outcomesComfortable in a complex stakeholder environment. Data products touch engineering, enterprise sales, customer success, finance, and legal; you can align them without losing paceNice to HaveExperience building products on top of or integrating with major cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)Familiarity with Stripe's data model and the kinds of analytics questions merchants care about (payments, disputes, revenue recognition, reconciliation)Background in fintech or payments — you understand the data complexity that comes with operating across hundreds of payment methods, currencies, and regulatory regimesWhy This RoleStripe's merchants run their businesses on Stripe data. When Stripe’s data products surface the right insight at the right moment — merchants make better decisions, and they stay on Stripe. This role is a direct lever on that outcome. You'll have meaningful scope, a strong team, and the opportunity to define what world-class data access looks like for the most important businesses in the world.

Listed by Stripe for a position based in the United States. Employers on this board attest they are hiring domestically.

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