Staff Product Manager, Platform Integrations & Partnerships

TwelveLabs builds multimodal AI models that understand video. The Staff Product Manager will own the product roadmap for platform integrations and partnerships, validating demand and leading integrations from initial scoping through launch and joint go-to-market.

Responsibilities:

• Own the product roadmap for co-development, distribution, and integration partnerships across major cloud providers and data platforms
• Partner directly with product and engineering counterparts at platform companies to scope, prioritize, and ship joint integrations
• Identify the business and technical risks behind each proposed integration and design tests that validate partner and customer demand before engineering execution
• Translate ambiguous, multi-stakeholder partner requirements into clear product specifications that internal and partner engineering teams can execute
• Drive integrations end to end, including technical design, security and compliance review, GTM enablement, launch, and co-sell readiness
• Align Engineering, Sales, Partnerships, and Marketing on roadmap priorities, pricing, packaging, and joint go-to-market plans
• Track partner-sourced pipeline, usage, and adoption as the core success metrics for the integrations you own
• Hold the roadmap accountable to product and business outcomes rather than the number of integrations shipped
• Represent TwelveLabs in partner-facing technical and business conversations, with a clear understanding of both TwelveLabs' priorities and the partner's incentives and constraints

Requirements:

• 7 to 10 years of product management experience, with meaningful work in partnerships, platform, ecosystem, or integration products. Demonstrated capability matters more than tenure
• Experience in a customer-facing solutions architecture or forward-deployed engineering role, with real depth in system architecture and/or machine learning
• Strong technical fluency in cloud infrastructure, system architecture, and API design. With an emphasis on GPU heavy integrations
• A track record working with major cloud or data platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar companies and their AI/ML services
• Clear and concise written communication across technical specifications, partner briefs, and roadmap documents
• Comfort operating in ambiguity, managing multiple partner relationships at different stages, and reprioritizing as new information arrives
• A platform and ecosystem mindset. You look for leverage and network effects rather than treating every request as an isolated feature
• A bachelor's degree or equivalent practical experience
• 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 operating in a startup or high-growth environment with fast-shifting priorities
• Background in media, video, or content technology