2 дня назад
Staff Product Manager (AI Platform Integrations)
216 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (AI Platform Integrations) (Cloud and Data Platforms): Owns the roadmap for co-development, distribution, and integration partnerships across major cloud and data platforms with an accent on demand validation, technical architecture, and joint go-to-market execution. Focus on designing GPU-heavy integrations, aligning partner and internal engineering teams, and driving adoption, usage, and partner-sourced pipeline.
Location: Hybrid in San Francisco or remote from Arizona, California, Oregon, or Washington, United States
Salary: $216,000–$280,000 base salary plus equity
Company
builds multimodal AI models that understand video across sight, sound, and motion for production-scale applications in media, entertainment, sports, security, and government.
What you will do
- Own the product roadmap for co-development, distribution, and integration partnerships with major cloud and data platforms.
- Partner with product and engineering teams at AWS, Azure, GCP, Databricks, Snowflake, and similar platforms to scope and ship joint integrations.
- Validate partner and customer demand, identify business and technical risks, and translate ambiguous requirements into executable product specifications.
- Drive integrations from technical design through security and compliance review, launch, enablement, and co-sell readiness.
- Align Engineering, Sales, Partnerships, Marketing, and other stakeholders on roadmap priorities, pricing, packaging, and go-to-market plans.
- Track partner-sourced pipeline, usage, and adoption while representing in technical and business discussions.
Requirements
- 7–10 years of product management experience, including meaningful work in partnerships, platforms, ecosystems, or integration products.
- Experience in customer-facing solutions architecture or forward-deployed engineering, with strong system architecture and/or machine learning expertise.
- Technical fluency in cloud infrastructure, system architecture, API design, and GPU-heavy integrations.
- Experience working with major cloud or data platforms and their AI/ML services.
- Clear written communication, comfort with ambiguity, and experience managing multiple partner workstreams.
- Bachelor’s degree or equivalent practical experience.
Nice to have
- Experience with hyperscaler co-sell or partner programs such as AWS Partner Central and ACE, Azure Marketplace, or GCP Partner Advantage.
- Familiarity with foundation models, vector or embedding-based data platforms, or AI/ML inference infrastructure.
- Experience in a startup or high-growth environment.
- Background in media, video, or content technology.
Culture & Benefits
- Open and inclusive work environment.
- Opportunity to work on cutting-edge AI technology with a collaborative, mission-driven team.
- Full health, dental, and vision benefits.
- Flexible PTO, parental leave, and office closure during the week of Christmas and New Year’s.
- Monthly wellness and annual learning and development stipends.
- Visa support where applicable. San Francisco onsite employees receive transportation stipends, daily lunch, and dinner.
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