Senior Product Manager, AI Platform

GEICO GEICO · Insurance · Bethesda, MD +1

Senior Product Manager to lead the strategy, roadmap, and execution of an enterprise-grade AI Agent Platform from the ground up, collaborating with engineering, design, and business units to drive growth and customer satisfaction through AI-powered products.

What you'd actually do

  1. Lead cross-functional teams through the full product lifecycle, from concept to launch and beyond.
  2. Conduct market research, competitive analysis, and customer interviews to inform product decisions.
  3. Prioritize features and initiatives based on customer feedback, business impact, technical feasibility, and the evolving frontier of AI capabilities - making informed trade-off decisions that balance near-term delivery with long-term platform potential.
  4. Drive product development by defining requirements, managing the backlog, and ensuring timely, high-quality releases.
  5. Monitor product performance, analyze metrics, and iterate on features to optimize user experience and business outcomes.

Skills

Required

  • 5+ years in product management with a track record of delivering successful products in a fast-paced environment.
  • Understanding of AI agent technologies and platforms, including market trends, customer needs, and competitive landscape.
  • Excellent communication and presentation skills - able to articulate complex ideas to both technical and non-technical audiences.
  • Proven analytical and problem-solving abilities with a data-driven approach to decision-making.

Nice to have

  • Builder’s mindset: demonstrated history of taking ownership from zero to one - defining product direction in ambiguous environments, making decisive trade-offs, and shipping with urgency and quality.
  • Structured problem-solving skills with the ability to break down complex challenges, develop frameworks for evaluation, and drive clarity across cross-functional stakeholders.
  • Continuous engagement with the rapidly evolving AI landscape, including familiarity with frontier model capabilities, agent architectures, and emerging industry standards, with a track record of translating these insights into product strategy.

What the JD emphasized

  • AI agentic platform
  • build an enterprise-grade AI platform from the ground up
  • builder who thrives in a scrappy, ambiguous startup environment
  • taking ownership from zero to one
  • defining product direction in ambiguous environments
  • making decisive trade-offs
  • shipping with urgency and quality
  • continuous engagement with the rapidly evolving AI landscape

Other signals

  • AI agentic platform
  • build from the ground up
  • AI-powered products