11 часов назад
Staff Product Manager (Platform Integrations)
200 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (Platform Integrations) (AI/cloud partnerships): Own the roadmap for co-development, distribution, and integration partnerships across major cloud and data platforms with an accent on demand validation, technical scoping, and partner alignment. Focus on designing API and system integrations, coordinating security and compliance reviews, and driving joint launches, co-sell readiness, and adoption.
Location: San Francisco, United States; hybrid. Transportation stipend applies to San Francisco onsite work.
Salary: $200,000–$240,000 annual base salary plus equity.
Company
builds multimodal AI models that understand video across sight, sound, and motion for production-scale workloads 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 platform product and engineering teams to scope, prioritize, and ship joint integrations.
- Validate customer and partner demand, identify business and technical risks, and design tests before engineering execution.
- Translate ambiguous partner requirements into clear product specifications for internal and external engineering teams.
- Drive integrations end to end through technical design, security and compliance review, launch, GTM enablement, and co-sell readiness.
- Align Engineering, Sales, Partnerships, Marketing, and other stakeholders around priorities, pricing, packaging, and adoption metrics.
Requirements
- 7–10 years of product management experience, including meaningful work in partnerships, platforms, ecosystems, or integration products.
- Customer-facing solutions architecture or forward-deployed engineering experience with strong system architecture and/or machine learning depth.
- Technical fluency in cloud infrastructure, system architecture, API design, and GPU-heavy integrations.
- Experience with major cloud or data platforms such as AWS, Azure, GCP, Databricks, or Snowflake and their AI/ML services.
- Clear written communication across technical specifications, partner briefs, and roadmap documents.
- Bachelor’s degree or equivalent practical experience, with the ability to manage ambiguity and multiple partner workstreams.
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.
- Collaborative, mission-driven work on cutting-edge AI technology.
- 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, plus daily lunch and dinner for San Francisco onsite employees.
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