Senior Product Manager 2, Assurance

Why Join The Drata Team? The best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide , united by a culture that values trust, speed, and continuous growth. Hear the Voice of the Team : Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available. Connect with Us on Socials: LinkedIn - follow us for company updates, employee stories, and career news. Job Summary: We’re looking for a Principal Product Manager, Agentic AI Platform to lead Drata’s Agentic AI strategy and execution. In this role, you will own a multi-year AI vision that spans product lines and influences company-level strategy, building AI-native experiences that help customers get real GRC work done—not just chat with their data. You’ll sit in the AI Pillar , working across Product, Engineering, Design, GRC, and GTM teams to define, build, and scale AI agents that operate safely in customers’ environments and deliver measurable outcomes in areas like TPRM, evidence collection, control mapping, and reporting. This is a principal-level role: you will shape strategy across multiple teams, create operating models for AI delivery at scale, and coach senior PMs while serving as a company-level evangelist for Drata’s AI-enabled product vision. What you'll do: Set and drive the Agentic AI vision Define a multi-year, company-level Agentic AI strategy that spans Drata product lines and major initiatives, balancing bold bets with pragmatic, stepwise execution. Translate that vision into clear portfolios, roadmaps, and investment frameworks for AI agents, copilots, and automation across GRC workflows. Continuously scan the AI landscape (models, tool use, orchestrators, evaluation methods, safety approaches) and selectively bring agentic innovations into Drata in a way that’s durable, compliant, and value-creating for customers. Build & execute on the AI platform strategy at Drata that will enable other teams to build AI features. Own outcomes for AI agents in production Lead end-to-end product discovery and delivery for AI agents—from problem framing and agent design to deployment, guardrails, and post-launch optimization. Define success metrics and evaluation frameworks for agents (e.g., task completion, latency, precision/recall, cost envelopes, human override rates) and drive rigorous experimentation to improve them. Partner closely with Engineering and AI/ML leads on architecture, model selection, tool/plugin design, retrieval strategies, and constraints that keep agents safe, observable, and debuggable in production. Leverage MCP and the agentic ecosystem Design and evolve MCP-based and related ecosystems of tools, actions, and data connectors that agents can use to take safe actions on behalf of customers. Define patterns for agent orchestration (multi-agent vs. single-agent, planner-executor patterns, routing, human-in-the-loop flows) and codify them into reusable building blocks for the broader product org. Ensure that AI agents operate reliably in real-world enterprise environments—understanding identity, permissions, rate limits, data locality, and audit requirements. Drive cross-pillar collaboration Work with other product pillars (Platform, Core GRC, TPRM, Reporting, Integrations, etc.) to embed AI agents into their roadmaps and ship cohesive, end-to-end workflows instead of isolated features. Create and run cross-functional rituals that keep AI investments aligned with company goals and customer value. Partner with GRC experts, Sales, CS, and Solutions to capture customer needs, validate use cases, and ensure AI agents align with real audit, risk, and compliance workflows. Champion customer-obsessed, data- and AI-first product craft Spend meaningful time with customers, prospects, and partners (including auditors) to deeply understand jobs-to-be-done, constraints, and trust expectations for AI in GRC. Use qualitative and quantitative insights to prioritize opportunities where AI/automation can materially reduce customer pain or drive scale , not just create novelty. Raise the bar on AI product quality, UX, explainability, and transparency—ensuring agents are intuitive, controllable, and aligned with customer risk postures. Lead at the principal level Create operating models , frameworks, and standards for how the product org builds and measures AI products (from evaluation harnesses to rollout stages and risk reviews). Mentor and coach senior PMs working on AI-related areas; help them sharpen strategy, storytelling, and metrics while modeling resilience and ownership in high-ambiguity environments. Represent Drata’s AI vision internally and externally—with customers, partners, analysts, and the broader ecosystem—helping shape how the market thinks about AI in GRC. What you'll bring: 10+ years of product management experience, with significant time as a senior/lead PM owning complex, multi-team product a