Partner with Engineering/ML, Design, and GTM to ship reliable, safe, and business-ready products with great developer/customer experience.
What You'll Do
- Define & drive roadmap across AI model APIs, agent workflows, and video solutions.
- Own DX for APIs: endpoints, SDKs, docs, examples, onboarding, and pricing/quotas.
- Ship packaged solutions like agent assistants and video-editing pipelines (e.g., auto-clipping, face/subject replacement), including UX, guardrails, and analytics.
- Evaluate models & vendors (quality, latency, cost), set acceptance criteria, and track product health with clear metrics.
- Launch & grow: positioning, demos, sales enablement, funnel metrics, and iteration.
- Ensure reliability & safety: SLOs/SLAs, rate limits, abuse/misuse prevention, consent/disclosure flows where applicable.
Qualifications (Must-Have)
- Proven experience shipping AI products, such as:Enterprise AI APIs/platforms (e.g., similar to fal.ai)—owning endpoints, usage-based pricing, and developer adoption; orAgentic products or video-editing pipelines (e.g., similar to Opus Clip, Creatify)—owning UX, workflows, and measurable outcomes.
- Enterprise AI APIs/platforms (e.g., similar to fal.ai)—owning endpoints, usage-based pricing, and developer adoption; or
- Agentic products or video-editing pipelines (e.g., similar to Opus Clip, Creatify)—owning UX, workflows, and measurable outcomes.
- Comfort working with ML/infra teams on model selection, evals, latency/cost trade-offs.
- Track record of turning ambiguous customer problems into shipped product with measurable impact.
- Strong written communication (specs, PRDs, release notes) and cross-functional leadership.
Nice to Have
- Experience with safety/policy for generative media (consent, watermarking, misuse prevention).
- Familiarity with fine-tuning, RAG, or model orchestration frameworks.
- Background in enterprise requirements (RBAC, SSO, audit logs, billing).