Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers. You'll partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption.

Key responsibilities include:

Strategic Leadership: Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

Execution Excellence: Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

Cross-Functional Partnership: Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making Enable go-to-market teams through training, documentation, and competitive positioning

What You Bring:

Required Qualifications: 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach B2B SaaS experience with enterprise data products, platform products, or GTM tools

Preferred Qualifications: Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems Background in data science, engineering, or analytics prior to product management Familiarity with 3rd party data sourcing, evaluation, and integration Experience with probabilistic matching, entity resolution, or graph-based identity systems Knowledge of data privacy regulations and their product implications Experience in sales intelligence, marketing technology, or revenue operations domains

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As a leading innovator in financial services, Anchorage is powered by exceptional 'Villagers' who embody intellectual curiosity, integrity, and a relentless drive for outstanding results. We have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Member of People Operations role:

Technical Skills:

• Applies extensive knowledge across multiple HR domains, particularly in HRIS (Workday/Dayforce) and employee lifecycle management, to independently solve complex operational challenges creatively and effectively across immediate and cross-functional teams.
• Demonstrates deep expertise in specific areas such as immigration, HRIS implementation, or scalable process design, actively contributing to department strategies, goals, and frameworks to ensure alignment with broader organisational priorities.
• Develops and refines sophisticated HR systems and processes, leveraging analytical skills to optimise efficiency and user experience for all Villagers.
• Leverages strong analytical skills to proactively monitor HR data integrity, conduct complex audits, and resolve systemic issues within HRIS (e.g., Workday, Dayforce).

Complexity and Impact of Work:

• Takes extreme ownership of complex HR initiatives, such as global HRIS implementations or significant policy overhauls, selecting appropriate methods and approaches to deliver high-quality, impactful outcomes.
• Leads and contributes to significant cross-functional People Operations projects with minimal oversight, breaking down large initiatives into manageable tasks while independently assessing trade-offs and priorities.
• Is accountable for delivering tactical business targets within People Operations that directly impact team efficiency and the Villager experience, proactively ensuring knowledge is shared and processes are scalable to avoid single points of failure.

Organisational Knowledge:

• Monitors industry trends in HR technology, global compliance, and talent management, alongside internal Anchorage objectives, to inform goal-setting and strategic decision-making for People Operations and the wider firm.
• Understands and clearly communicates how their work in People Operations drives Anchorage’s broader strategic objectives forward, enhancing operational excellence and Villager engagement.
• Acts as a culture carrier, actively contributing to Anchorage's hiring efforts by providing referrals, conducting interviews, mentoring new interviewers, and participating in recruiting events.

Communication and Influence:

• Mentors more junior teammates within People Operations, helping them align their efforts with department goals and Anchorage’s overall company strategy.
• Demonstrates leadership across teams and departments to improve collaboration and knowledge sharing regarding HR processes, policies, and system capabilities.
• Leads and communicates complex ideas and solutions related to HR operational changes, system improvements, or policy updates to get buy-in from diverse stakeholders across the firm.

You may be a fit for this role if you have:

• Expert-level proficiency and hands-on experience with Workday or Dayforce, including advanced configuration, reporting, and module management.
• Demonstrated mastery of the entire employee lifecycle, with a proven ability to design, implement, and optimise scalable HR processes across diverse organisational structures.
• In-depth knowledge and practical experience managing complex global immigration processes and ensuring compliance for a diverse workforce.
• Proven ability to independently solve complex problems, manage significant cross-functional projects with minimal oversight, and proactively navigate ambiguity and roadblocks.
• Strong understanding of HR compliance, data privacy regulations (e.g., GDPR, CCPA), and best practices in a regulated financial environment.
• Experience in developing and delivering training programs related to HR systems or processes to varied audiences across a firm.
• Exceptional analytical skills with the ability to translate data into actionable insights for continuous process improvement.
• A track record of mentoring junior team members and demonstrating leadership in collaborative, cross-functional environments to drive organisational alignment.

Although not a requirement, bonus points if:

• Experience with other specialised HR platforms or tools beyond core HRIS (e.g., ATS, LMS, advanced payroll systems).
• Demonstrated experience within a global financial services firm navigating complex regulatory environments.
• Proven experience with HR analytics and dashboard creation to monitor key People Operations metrics and drive strategic insights.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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Responsibilities: Design, build, and extend external-facing privacy products such as the data access tool and privacy portal Build API products for customers to help them manage their privacy requirements Build internal tools for other Stripe teams to help manage their privacy requirements Build and extend our data access and deletion pipelines Collaborate with our users and on cross-functional teams to extend our privacy systems

Requirements: 6+ years of professional hands-on software development experience Empathy, strong communication skills, and a deep respect for the power of collaboration Able to work well individually, cross-team, and cross-functionally The ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership Excellent problem-solving skills and attention to detail High standards for code quality and a constructive attitude to help others raise the bar

Preferred qualifications: Experience with privacy regulations (GDPR, CCPA, etc.) and implementing technical solutions to address them Experience with complex data pipelines over large datasets Experience designing and building user-facing privacy tools Experience with Ruby or Java in production environments

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Location

San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers.

This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation.

What You’ll Do

• Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections.

• Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes.

• Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable.

• Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs.

• Harden data platforms and backend services through schema-level controls and data handling constraints by default.

• Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations.

• Contribute patterns, libraries, and education that elevate trustworthy data access patterns across the organization.

You Might Thrive in This Role If You Have

• 5+ years of industry experience building and operating backend or infrastructure systems in production.

• Strong software engineering fundamentals, with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java).

• Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines.

• Familiarity with global privacy regulations and their architectural implications.

• Ability to influence and collaborate with teams across legal, compliance, product, and engineering.

• A bias toward practical, impactful solutions that balance privacy protections with product needs.

Nice to Have

• Experience with cloud platforms (e.g., Azure, AWS, GCP) and large-scale data systems.

• Background in security engineering, privacy engineering, or data governance.

• Experience with control-plane or metadata-driven enforcement systems.

• Exposure to data platforms or ML infrastructure.

• Prior experience in a regulated or highly sensitive data environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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