Principal Product Manager, Agentic AI Platform

Drata; San Francisco (CA); On-site; USD 207,700 - 256,600; Full time

Benefits offered by this job

Stock equity

100% employer-paid health premiums

401(k) plan

Flexible vacation policy

Professional development stipends

Job summary

A cutting-edge technology company in San Francisco seeks a Principal Product Manager, AI to shape its Agentic AI strategy. This senior role involves defining a multi-year AI strategy, driving product delivery for AI agents, and ensuring outcomes align with enterprise standards. Ideal candidates will have over 10 years in product management, strong AI/ML experience, and excellent communication skills. The position offers a competitive salary range of $207,700 - $256,600, along with comprehensive benefits and stock options.

Qualifications

• 10+ years of product management experience, including leadership roles.
• Experience building AI/ML products with a focus on agentic systems.
• Ability to define multi-year product strategies in emerging domains.

Responsibilities

• Define AI strategy across product lines and initiatives.
• Translate vision into portfolios and roadmaps for AI.
• Lead product discovery and delivery for AI agents.

Skills

Product management experience

AI/ML product development

Technical fluency

Communication skills

Customer obsession

Job description

Job Summary

We’re looking for a Principal Product Manager, AI to lead Drata’s Agentic AI strategy and execution. This principal-level role 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

• 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 and execute the AI platform strategy at Drata that enables other teams to build AI features.
• 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 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.
• 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.
• Work with other product pillars 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.
• 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 materially reduces customer pain or drives 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.
• Create operating models, frameworks, and standards for how the product org builds and measures AI products.
• 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—to 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 areas.
• 3–5+ years building and shipping AI/ML or LLM‑powered products, with at least 2+ years directly working on agentic systems, copilots, or autonomous workflows in production.
• Demonstrated experience designing, deploying, and iterating AI agents in production, including setting up evaluation pipelines, guardrails, and observability.
• Deep understanding of the agentic ecosystem and Model Context Protocol (MCP) or similar paradigms.
• Strong technical fluency: comfortable reading API docs, reasoning about data and model tradeoffs, and partnering with engineering on architecture‑level decisions.
• Track record of defining multi‑year product strategy in ambiguous or emerging domains and influencing exec‑level decisions.
• Experience operating in B2B SaaS; familiarity with security, compliance, or risk domains is preferred but not required.
• Exceptional written and verbal communication skills, with the ability to tell a compelling story, align diverse stakeholders, and make complex AI concepts accessible.
• Demonstrated customer‑obsession, with a history of turning customer insights into high‑impact product bets and shipping iteratively to learn.

Nice‑to‑Haves

• Experience in GRC, Security, or TPRM, especially building products used by risk, security, or compliance teams.
• Prior work on GRC copilots, automated evidence collection, control mapping, or AI‑powered reporting.
• Experience working with auditors, regulators, or highly regulated industries.
• Public presence in the AI or product community (talks, blogs, OSS contributions, standards work) related to agents, orchestration, or responsible AI.

How We Support You

• Shared Success: Stock equity to share in company growth.
• Health & Wellness: Up to 100% employer‑paid premiums for medical, dental, and vision coverage, plus comprehensive wellness benefits.
• Financial Well‑being: 401(k) plan, company‑paid life and disability insurance, tax‑advantaged spending accounts, and discounted voluntary offerings.
• Family Support: Paid parental leave after six months, fertility and family‑building benefits, and dedicated leave specialists.
• Growth & Development: Annual stipends for professional and personal development; a wide range of internal learning opportunities.
• Time Off & Flexibility: Flexible vacation policy, paid holidays, and other perks to recharge.

This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs). The applicable salary range for this role is: $207,700 - $256,600.

A variety of factors are considered when determining someone’s leveling and compensation–including a candidate’s professional background and experience. These ranges may be modified in the future and final offer amounts may vary from the amounts listed above.