Staff Product Manager, Data Platform

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As the Staff Product Manager, Data Platform at Vanta, you will be responsible for product strategy and direction for Vanta’s data platform. You’ll sit between the core platform and feature teams, driving the roadmap for transforming how we fetch, store, and use data from customers and 3rd parties at scale. This platform directly enables customer and business outcomes, and backs Vanta’s products and experiences. This is a highly impactful, technical role at the center of how Vanta works and meets customer needs at real scale. Vanta manages data from over 16,000 customers and is rapidly scaling daily. You’ll be part of Vanta’s Automation group, which owns how customers discover and connect to other platforms through integrations, use that data to power product experiences and tests, drive customers toward compliance-related security outcomes, and ultimately generate the evidence required for audit. You aren’t building Vanta’s service delivery platform - you’re building the engine that powers compliance and monitoring outcomes. Your team will be Foundations, which has wide scope and depth, and you’ll be the sole PM to support the data platform. What you’ll do as Staff Product Manager, Data Platform at Vanta: - Own the impactful Data Platform roadmap, pairing closely with engineering counterparts to plan durable platform investments that serve our customers and products built on top of customer data - Collaborate closely with other product teams to understand what platform investments they need to be successful, get ahead of their roadmaps, and create a plan that balances short and long term needs to support customer outcomes.

• Directly drive the Vanta data platform strategy and support GRC strategies, creating clarity on sequencing and support as you build the platform and empower teams to use it.
• Guide the hard tradeoffs between feature development and platform stability, using clarity and empathy to provide clean direction to other teams.
• Enable and evangelize for the data platform, working with other teams to help encourage platform contribution and usage - Work directly with customers to understand unique platform requirements and opportunities including shipping features directly to support an outcome.
• Look ahead 12-18 months to build a platform that scales with Vanta, including building toward AI native uses and agent operations.
• Create and measure key metrics and results for platform investments, and own key outcomes around scalability, feature enablement, and queryability.
• Support an existing team of engineers and tech leads focused on the data platform How to be successful in this role: - Have 6+ years supporting platform teams, with a preference for data platforms or data products.

• Come having built 0->1 platforms. You’re not just comfortable with mature data platforms, but have experience building new systems over long time horizons with rich communication along the way.
• Balance independence and strong communication.

• Have strong frameworks to build complex platforms with clear sequencing, goals, and progress tracking.

• Be intensely curious and collaborative, naturally leaning into pairing with other teams to understand their platform needs, translate them into common requirements, and enable them as they develop new features and products. You’ve earned the trust of other teams and engineers with a track record of clear and unemotional decision making.
• Be technically sharp with data platform topics.

• Be outcome oriented, keeping business and customer goals front and center as you build platform, laddering your efforts up to demonstrable impacts.
• Must be authorized to work in the U.S. without the need for current or future employer sponsorship.
• Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

• Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.

• Highlight any experience you have building data pipelines or data warehouses; concrete examples of scaling from zero are especially compelling.
• Prepare a short case study of a platform trade‑off you managed, focusing on how you balanced feature velocity with stability.
• Bring metrics from past projects (e.g., latency reductions, query throughput gains) to demonstrate impact.
• Show familiarity with compliance terminology; a quick reference to how your platform work enabled audit‑ready evidence will impress interviewers.
• When interviewing, ask about the current data stack and upcoming AI initiatives; it signals genuine interest in the long‑term roadmap.
• Negotiate by emphasizing the equity component and the remote‑work stipend, especially if the base salary range isn’t disclosed.
• Watch for vague statements about “ownership” without clear reporting lines; clarify who you’ll report to and how success is measured.