Product Management Lead, AI

Drive the agentic strategy: Drive the product vision, roadmap, and success metrics for agentic experiences across the portfolio, from focused agent workflows to full orchestration.

Build agentic experiences that ship: Design and deliver AI-native products (agents, copilots, human-in-the-loop workflows, tool use, retrieval, and reasoning) that are reliable, explainable, and production grade.

Make autonomy trustworthy: Treat governance as an enforced constraint, not an aspiration. Define hard limits, output verification, reversibility, escalation paths, and auditability so users can trust what an agent does on their behalf.

Drive product adoption for AI: Own activation, onboarding, and the path to habitual use. Reduce friction, design for time to value, and grow adoption across new customers, existing customers, and internal teams.

Drive growth: Build and instrument growth loops, expansion, and retention. Partner with go-to-market and growth to turn capability into usage, usage into value, and value into revenue.

Decide with data: Instrument every experience, define the metrics that matter, and run a disciplined experimentation practice (A/B tests, funnels, cohort analysis) so decisions are grounded in evidence, not opinion.

Run continuous discovery: Engage customers and prospects through interviews, onsite visits, workshops, and discovery sessions. Map opportunities to solutions, validate before building, and keep a living view of unmet needs.

Master the market: Develop deep expertise in DFIR, the agentic AI landscape, competitive dynamics, and emerging model and tooling trends to inform strategic bets.

Navigate competing priorities: Make thoughtful tradeoffs across scope, quality, trust, and timelines while staying aligned to strategic objectives.

Drive clarity: Break ambiguous problem spaces into structured, actionable plans that align leadership and let teams execute with confidence.

Lead strategic visibility and alignment: Track the metrics that signal success and give clear, outcome-focused updates to executives and cross-functional partners.

Collaborate across teams: Partner with engineering, UX, data science, and peer PMs to deliver experiences that are intuitive, consistent, and aligned to key personas.

Influence cross-functionally: Build strong relationships with GTM, customer success, support, and leadership to drive alignment and optimize results.

Work AI-natively: Default to AI across your own workflow (discovery, research, analysis, drafting, and prototyping) and model AI-native ways of working that raise the bar for the wider product team.

Travel: 5-15%.