About the RoleVideo lives in many existing locations today. For our largest customers, bringing the video intelligence to their data is the fastest way to deliver value. Our partnerships with platforms where that video already exists is a critical part of our business.
The Platform Integrations team owns that path: co-development, distribution, and integration partnerships with major clouds such as AWS, Azure, and GCP, and data platforms such as Databricks, Snowflake, and others. This role is also tip of the spear for future AI services integrations as the ecosystem evolves, the Platform Integrations team will be the one to bring TwelveLabs models to the platforms our customers need us most.
In this role, you will own the product roadmap for this ecosystem. You will decide which integrations are worth building, validate demand before engineering execution, and lead each integration from the first conversation through joint general availability. You will also work closely with the Head of Strategic Partnerships and VP of Revenue to design the strategy and build conviction on the roadmap.
The work requires balancing TwelveLabs' roadmap against each partner's incentives, constraints, and technical realities.
This is a staff-level individual contributor role with unusual leverage. One well-scoped integration with a major platform can unlock adoption for thousands of downstream.
About the TeamThe Platform Integrations team sits at the intersection of Product, Engineering, Science, and Go-to-Market.
We manage a portfolio of concurrent partner workstreams spanning early technical scoping through general availability and scale. The portfolio includes foundation model hosting, knowledge base and vector search integrations, media supply chain tooling, and infrastructure partnerships.
We work directly with partner product managers, solutions architects, and engineering teams to co-design integrations. Internally, we work with Engineering, Sales, Partnerships, Field Engineering, Security, Legal, Science, and Marketing to turn those integrations into pipeline, usage, and durable distribution.
In this role, you will- 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.
You may be a good fit if you have- 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.
Preferred Qualifications- 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.
Benefits and Perks An open and inclusive culture and work environment
Work closely with a collaborative, mission-driven team on cutting-edge AI technology
Full health, dental, and vision benefits
Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years
Monthly wellness stipend
Annual Learning & Development stipend to invest in your growth
🛂 VISA support where applicable
🚆 Transportation stipend (SF onsite only)
🍲 Daily lunch & dinner provided (SF onsite only)
