Senior Product Manager

Drata•San Francisco, CA
•$157,500 - $252,000•Remote

About The Position

Drata's Compliance Group builds the core of our platform: the controls, evidence, frameworks and audit workflows that thousands of security and GRC teams rely on to prove they can be trusted. We're rebuilding that work for an agentic world, and we're looking for a Senior Product Manager to own a product area within it end to end. You'll operate like a GM for your area: you decide which customer problems matter most, set a measurable destination with your engineering lead, and lead a small, builder-heavy team of engineers and design to get there. You own the customer outcome and the business case, not just the spec. You'll apply AI deliberately, and you'll own the trust, governance and quality judgment that comes with it.

Requirements

  • 5+ years of product management experience in B2B SaaS, with a track record of owning an outcome metric, not just shipping features
  • Strong discovery skills: you can run a great customer interview and separate the underlying problem from the feature request
  • Comfort with data. You pull your own numbers, define success metrics, and let evidence change your mind
  • Hands-on experience shipping AI-enabled product, or a well-formed point of view on how to do it responsibly
  • Clear, concise writing that works for both executives and engineers
  • Sound judgment on trade-offs across customer value, business value, technical constraints and risk
  • Experience working closely with sales-led GTM teams in an enterprise or mid-market motion

Nice To Haves

  • Domain experience in security, compliance, GRC or audit (SOC 2, ISO 27001, HIPAA, NIST and similar)
  • Experience building data-heavy or workflow products for technical or regulated buyers

Responsibilities

  • Own value and business-viability risk for your product area: who it serves, what the problem costs them today, and what solving it is worth to Drata
  • Run continuous discovery across customer calls, Productboard insights, support signals and usage data, and turn it into a short, ranked list of evidence-backed problem statements
  • Set outcome-based goals (baseline, target, date and what's out of scope) jointly with your engineering manager
  • Sequence the path to those goals, make trade-offs explicit, and name the biggest risk and your fallback before anyone asks
  • Communicate the plan at three levels: to your team, to GTM and Customer Success partners, and to executives, leading with the customer impact
  • Lead launches through alpha, beta and GA with clear success criteria for each phase, then measure adoption, retention and business impact after release
  • Make product calls on AI-powered experiences, including model behavior, data quality, observability and user trust
  • Report progress every week with data pulled from the source and a short narrative, and call "at risk" early with a recovery plan
  • Build the business case for investment in your area and defend it with data

Benefits

  • Stock equity
  • Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents
  • Comprehensive wellness benefits
  • Healthcare concierge services
  • 401(k) plan
  • Company-paid life and disability insurance
  • Tax-advantaged spending accounts
  • Discounted voluntary offerings
  • Paid Parental Leave policy
  • Kindbody fertility and family-building benefits
  • Dedicated leave specialists
  • Generous annual stipends for both professional and personal development
  • Access to a wide range of internal learning opportunities
  • Flexible vacation policy
  • Paid holidays
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