Applied AI Product Strategy & Revenue Lead
You will translate ambiguous customer needs into product strategy, technical scope, commercial proposals, and revenue opportunities. You will lead discovery, proposals, proofs of concept, procurement, deployments, and expansions while partnering with research, product, engineering, legal, finance, executives, and customers. You will also shape positioning, narratives, case studies, and repeatable go-to-market processes for frontier AI infrastructure.
Responsibilities
- Understand customer workflows and technical pain points
- Translate customer conversations into technical and commercial strategy
- Shape product packaging and repeatable customer narratives
- Own high-value customer opportunities from discovery through expansion
- Run discovery with technical and executive stakeholders
- Build business cases and technical wedges
- Draft proposals, scopes, and commercial structures
- Coordinate internal workstreams across research, product, engineering, legal, and finance
- Turn early deployments into expansion and long-term platform revenue
- Bring customer signals to applied research prioritization
- Create positioning, sales narratives, customer decks, case studies, and reference architectures
Requirements
- Strong product and commercial judgment
- Ability to understand technical products quickly
- Excellent written communication
- High agency
- Comfort with ambiguity
- Ability to work with researchers, engineers, executives, and operators
- Understanding of enterprise buying, proofs of concept, procurement, and expansion
- Knowledge of AI, post-training, agents, evaluations, and infrastructure
Benefits
- Meaningful equity
- Flexible work in San Francisco or hybrid-remote
- Visa sponsorship
- Relocation support
- Professional development budget
- Team off-sites
- Conference attendance