5 дней назад
Member of Product Staff (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Member of Product Staff (AI): Owning an AI product pillar across consumer, developer, enterprise, or evaluation products, from identifying opportunities through shipping and measurable outcomes with an accent on AI/LLM systems, user research, and data-driven product decisions. Focus on translating ML research into products, designing rigorous experiments and evaluation metrics, and coordinating engineering, research, design, and leadership under ambiguity.
Location: SF Bay Area, on-site
Company
is an AI evaluation platform founded by researchers from UC Berkeley's SkyLab that measures how frontier AI models perform in real-world workflows.
What you will do
- Own a product pillar end to end, from identifying opportunities and building conviction to shipping and driving measurable outcomes.
- Lead one of the Enterprise & API, Evaluation, or Growth product areas.
- Partner with ML researchers to turn research into products, methods, models, and usable data.
- Develop a deep understanding of consumers, labs, enterprises, researchers, and other high-expectation users.
- Use feedback, usage data, analytics, and experiments to prioritize initiatives and improve shipped products.
- Write PRDs, specifications, and narratives while aligning engineering, design, research, and leadership.
Requirements
- 5–10+ years of product management experience across consumer, developer, or enterprise products.
- Repeated, attributable product impact with measurable and sustained outcomes.
- Strong product judgment, autonomous ownership, persuasive communication, and comfort with ambiguity.
- Technical depth to work directly with engineers and researchers.
- Genuine conviction about AI evaluation and the ability to articulate the importance and direction of the domain.
- Production experience with AI/LLM systems, such as inference pipelines, evaluation workflows, model integration, or AI-powered product features.
Nice to have
- 0-to-1 experience at an early-stage company.
- Experience with developer- or enterprise-facing products and usage-based revenue models.
- Experience designing statistically rigorous experiments and metrics beyond standard benchmarks.
- Experience growing a consumer or developer product at scale.
- Experience introducing practices, tools, or standards that measurably improved team performance.
Culture & Benefits
- Work with a small, mission-driven team on cutting-edge AI.
- Competitive compensation and equity aligned with the market where the employee is based.
- Comprehensive medical, dental, vision, and wellness benefits.
- Culture focused on transparency, trust, craftsmanship, curiosity, and community impact.
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