Senior / Staff Product Manager – Enterprise AI Platform
$190,000–$270,000 year
HybridSan Francisco, California, United States
Job Summary
Lead enterprise customer engagements from pre-sales discovery through post-sales expansion, designing customized demonstrations and translating complex business problems into scalable product solutions. Partner with the CEO, CTO, Engineering, and domain experts to define product strategy, write detailed PRDs and engineering briefs, and build rapid prototypes using AI coding tools to validate ideas. Own complex platform functionality including authentication, RBAC, approval workflows, data governance, and API integrations while driving multiple enterprise implementations simultaneously. Convert identified common customer needs into scalable product capabilities and shape the long-term roadmap as the founding Product Manager at a seed-stage startup building mission-critical enterprise AI software for highly regulated industries.
Required Qualifications
- 5–10 years of Product Management experience
- 5+ years building enterprise or B2B software products
- Proven experience owning products throughout the full product lifecycle
- Strong customer-facing experience including: Enterprise discovery, Solution design, Product demonstrations, Post-sales partnership
- Experience translating customer requirements into actionable engineering deliverables
- Excellent written communication skills with demonstrated experience writing: Product Requirements Documents (PRDs), Functional specifications, Engineering briefs
- Strong collaboration skills across Product, Engineering, Executive Leadership, and customers
- Bachelor's degree required
Desired Qualifications
- Experience in one or more of the following areas: Enterprise Software, DevOps Platforms, Security Software, Infrastructure Software, Data Analytics Platforms, APIs & Integrations, AI-powered enterprise applications, Regulated industries (Insurance, FinTech, Healthcare, Compliance)
- Startup experience (Seed through Series C)
- Consulting background
- Prior engineering experience
- Experience building products from scratch
- Strong understanding of enterprise architecture and technical integrations
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