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VantaVantaUnited States

Staff Product Manager, AI Foundations

Leads strategy and adoption for the shared AI foundations behind Vanta’s agent experiences, including agent infrastructure, evaluation, quality, and observability. The role requires 8+ years of product management experience, hands-on LLM and agent experience, and strong technical systems thinking.

243k – 286k/yr
Remote8+ YOEProduct Management

About the role

Responsibilities

  • Own the strategy and roadmap for Vanta’s core AI capabilities, including the agent harness and AI quality and evaluation stack.
  • Analyze agent traces to understand customer usage and prioritize high-leverage improvements.
  • Build golden datasets, automated evaluators aligned to expert judgment, and self-serve evaluation tooling for product managers, subject-matter experts, and designers.
  • Scale the agent harness by shaping core capabilities and balancing cost, latency, reliability, and safety.
  • Establish quality standards for evaluations, launch readiness, and observability, and drive adoption across teams.
  • Partner with EPD teams and AI pillar teams to turn proven patterns into shared capabilities.
  • Help define and shape Vanta’s product team culture.

Requirements

  • 8+ years of product management experience, including experience with platform, infrastructure, or technically deep products.
  • Hands-on experience building with large language models and AI agents.
  • Understanding of how evaluations, observability, and quality signals drive systematic improvement in AI products.
  • Strong user empathy and the ability to translate customer problems into product direction.
  • Experience operating foundational products with adoption goals, feedback loops, and user-grounded prioritization.
  • Credibility with senior engineers and comfort participating in deeply technical design discussions.
  • Daily experience using coding agents and curiosity about evolving models and agent tooling.
  • Systems-thinking ability across evaluation, observability, and infrastructure choices.
  • Ability to thrive in ambiguity and lead with clear problem definition and process.
  • Clear written and verbal communication with team members, stakeholders, and executives.
  • Curiosity, willingness to learn, and sound judgment in applying AI responsibly.

Compensation and Benefits

  • Base salary: $243,000–$286,000.
  • Equity.
  • Comprehensive medical, dental, and vision coverage, with employee-only premiums covered for most medical plans.
  • 16 weeks of paid parental leave for all new parents.
  • Health and wellness stipend.
  • Remote workspace, internet, and cellphone stipends.
  • Commuter benefits for team members reporting to the San Francisco and New York City offices.
  • Family planning benefits.
  • Matching 401(k) contribution with immediate vesting.
  • Flexible paid time off and 80 hours of sick time.
  • 11 company-paid holidays.
  • Virtual team-building activities, lunch-and-learns, and company-wide events.

Skills

LLMsAI Agentsagent harnessesai evaluationgolden datasetsautomated evaluatorsObservabilityquality signalscoding agentsInfrastructureProduct Roadmapping
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