Lead Product Manager
Leads ambiguous, cross-functional product initiatives for enterprise AI products, shaping strategy, roadmap, customer discovery, and execution. Requires 8+ years of product management experience, technical fluency in AI and architecture, and the ability to influence multiple teams.
About the job
Responsibilities
- Drive high-impact product initiatives end-to-end, from discovery and problem definition through launch, adoption, and iteration across multiple product areas and teams.
- Shape product strategy and roadmap with product leadership, translating company goals into sequenced product bets.
- Engage enterprise buyers, end users, and prospects to uncover needs and validate problem-solution fit.
- Partner with engineering and design on requirements, technical tradeoffs, and prioritization, including LLMs, agents, platform architecture, and data.
- Align go-to-market, sales, marketing, customer success, and executive stakeholders around strategy and tradeoffs.
- Define success metrics, evaluate impact using quantitative and qualitative signals, and communicate outcomes to leadership.
- Mentor and coach product managers and raise product management standards across the organization.
Requirements
- 8+ years of product management experience owning and shipping complex, high-impact products, ideally in SaaS, platform, infrastructure, or AI/ML environments.
- Senior- or staff-level experience operating autonomously across ambiguous, multi-team problem spaces.
- Strong customer discovery and synthesis skills.
- Technical credibility in system design, LLM capabilities, data, and architecture.
- Strong strategic thinking, execution, communication, stakeholder influence, and data-informed decision-making.
Nice to have
- Experience building products powered by LLMs, generative AI, or large-scale AI/ML systems.
- Background in enterprise software, developer platforms, or developer-facing products.
- Familiarity with AI governance, guardrails, and operational considerations for deploying AI in regulated or high-stakes environments.
Compensation and benefits
- Annual compensation range: $183,000–$275,000.
- Competitive compensation, company stock options, and 401(k).
- Medical, dental, and vision coverage; paid parental leave; fertility and family planning support; flexible spending and health savings accounts.
- Paid time off, company holidays, wellness and learning stipends, and company and team off-sites.
Skills
Product Strategy, Product Roadmapping, LLMs, Generative AI, AI/ML, System Design, Platform Architecture, Data Analysis, Ai Governance, Guardrails
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