The Opportunity:

Data privacy has become one of the most strategic challenges facing modern enterprises, sitting at the intersection of AI governance, data operations, and customer trust. As companies adopt AI at scale, they need new ways to understand where personal data lives, assess risk, and make confident decisions without slowing innovation.

DataGrail is the agentic data privacy platform built for the AI era. Our AI agent, Vera, helps the world's leading brands discover, manage, and protect personal data across thousands of systems automatically, transforming work that was once manual and time-consuming into something teams can actually scale.

We're looking for a Senior Product Manager to lead our Intelligence Suite, including Live Data Map, Assessments, and Risk Management. These products give customers the visibility they need to understand their data landscape, identify risk, and take action. They're foundational to DataGrail's platform today and central to where we're investing over the next several years.

This is a high-impact role on a small, experienced product team where you'll have broad ownership and the autonomy to move quickly. DataGrail is an AI-first organization, and our PMs use AI throughout the product development process—from exploring customer problems and validating ideas to building working prototypes that accelerate engineering execution. You'll report directly to the Chief Product Officer and partner closely with engineering, design, and ML to shape both product strategy and execution. If you're energized by talking to customers, rapidly testing ideas, and seeing your work make an immediate impact, you'll thrive here.

What You'll Do:

Own the full product strategy and roadmap for Live Data Map, Assessments, and Risk Management
Make prioritization calls that balance customer needs, business goals, and technical feasibility
Drive deep integration of Vera AI capabilities across the intelligence suite
Run ongoing customer discovery with privacy, legal, and security stakeholders at mid-market and enterprise companies
Lead cross-functional execution with engineering, design, and ML from problem definition through launch
Partner with PMM and CS on positioning, enablement, and adoption
Define success metrics and iterate based on what the data shows
Build working prototypes using AI tools to make ideas tangible before handing off to engineering

What You’ll Bring:

5+ years of product management experience in enterprise B2B SaaS
Track record of owning complex, data-heavy products end-to-end
Strong instincts for simplifying hard problems without losing depth
Comfortable working directly with engineers and ML practitioners
Experience doing real customer discovery — not just gathering requirements
Clear communicator who can write a crisp brief, run a tight prioritization session, and present tradeoffs to leadership without hand-holding
Fluency with AI tools and a default toward using them to move faster

Bonus Points

Familiarity with privacy or compliance domains
Experience shipping ML-powered or data intelligence products
Background in platforms serving legal, compliance, or security personas

What success looks like

Within 90 Days You'll:

Develop deep familiarity with Live Data Map, Assessments, and Risk Management — the product, the customers, and the current roadmap. You’ll understand these products like the back of your hand, being an expert in how they function, and how customers use these products.
Complete discovery conversations with key customers and internal stakeholders across CS, sales, and engineering
Identify the highest-leverage near-term opportunities in the intelligence suite and present a prioritized point of view
Ship multiple meaningful improvements to the product that directly influence DataGrail customer outcomes
Take ownership of the intelligence roadmap and begin driving prioritization decisions with the team

Within 180 Days You'll:

Own the intelligence roadmap end-to-end with minimal oversight
Have a clear thesis on how Vera AI deepens the value of your products and a plan to execute it
Be the go-to voice internally for your product area — in planning, in GTM conversations, and with customers
Establish a regular cadence of customer engagement that informs your roadmap

Within 365 Days You'll:

Have shipped multiple significant product bets across the intelligence suite
Measurably grown engagement, adoption, or retention across your products
Be a meaningful contributor to DataGrail's overall product strategy and AI direction
Set the bar for what great PM work looks like at DataGrail