TwelveLabs

Design and maintain APIs and authentication infrastructure for scalable SaaS platforms. | 6+ years backend engineering experience with production APIs, SaaS components, and secure authentication frameworks. | Who we are At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. About the Role TwelveLabs builds multimodal AI that understands video the way people do. We're looking for a product-minded senior backend engineer to build and own the platform and integration surfaces that bring our video-understanding capabilities to developers and AI agents. You'll shape the APIs, the agent-facing interfaces, and the authentication, authorization, and multi-tenancy that make them production-grade and enterprise-ready. This is high-ownership, high-craftsmanship work at the frontier of agentic AI, with a direct line from what you build to what our customers and partners can do. This role is hybrid, based in our San Francisco office. Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes. In this role, you will Design and own developer- and agent-facing surfaces: public and partner APIs, and agent integration interfaces such as MCP and agent-to-agent protocols. Build the authentication and authorization substrate: how users and machines authenticate, and how access is enforced (RBAC, organization and team scoping). Ship enterprise-readiness capabilities: organization support, per-API-key usage tracking and metering, and rate limiting designed around real system constraints rather than arbitrary defaults. Keep the platform reliable and scalable: define and uphold SLOs, harden failure paths, and keep services healthy under real-world and multi-tenant load. Move fast without compromising quality, shipping to customers on a tight loop while holding a high craftsmanship bar. Collaborate closely with engineering and research partners to turn cutting-edge capabilities into durable product surfaces. You may be a good fit if you have Strong backend engineering depth (typically 6+ years) building and operating production services and APIs at scale. A track record of owning developer-facing or platform surfaces such as public APIs, SDKs, or integration layers, with real care for API design and contracts. Hands-on experience with authentication and authorization in production: OAuth/OIDC, RBAC, multi-tenant isolation. Experience building enterprise/SaaS platform concerns: organization and team models, usage metering, rate limiting, quotas. Demonstrable, hands-on experience with agentic systems, in production or through substantial personal projects, with a strong grasp of agent tool design, MCP and function-calling, and the failure modes of LLM-driven applications. The judgment to ship fast and the craftsmanship to do it well, with the maturity to know which one a given problem calls for. Preferred Qualifications Shipped an agent or LLM-powered product that real users or developers depend on, and can speak to what broke at scale and how you fixed it. Have taken a product from early access to enterprise-grade: the auth, multi-tenancy, and reliability work that turns a capability into something a large customer will trust. Contributed to the agent tooling ecosystem (for example, open-source MCP servers or agent frameworks) or have a body of personal work that shows real fluency. 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. 🛂 VISA support where applicable

Lead partner engineering to integrate AI and cloud ecosystems and drive adoption through cross-team collaboration. | 8+ years in solutions architecture or partner engineering with leadership and strong cloud and API technical skills. | Who we are At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Why This Role? Our Go-to-Market (GTM) organization empowers developers and enterprises to build intelligent video applications using the Twelve Labs APIs, helping customers unlock the full potential of our multimodal models. The Global Partnerships team plays a critical role in this mission by forging high-impact integrations that expand our ecosystem and accelerate adoption. As the Director of Partner Engineering, you will build and lead the Partner Engineering function, setting the technical strategy for how Twelve Labs integrates across the broader AI and cloud landscape. You will guide a small but growing team of Partner Engineers and act as a bridge between our partners, product, and engineering teams, ensuring our technology is deeply and effectively embedded into partner ecosystems. This is a strategic and hands-on leadership role—ideal for someone who thrives in dynamic environments, enjoys both technical architecture and business impact, and can shape how Twelve Labs scales through partnerships globally. In this role you will Build and lead the Partner Engineering team, defining its charter, operating model, and success metrics. Develop and execute the global partner engineering strategy across key ecosystems (cloud providers, AI platforms, ISVs, and enterprise integrators). Guide technical pre- and post-sales efforts, ensuring seamless partner onboarding, solution design, and integration with Twelve Labs APIs. Collaborate cross-functionally with Product, Engineering, and GTM leaders to align on technical roadmaps and market opportunities. Run enablement programs for partner technical teams (e.g., cloud solution architects, AI/ML teams) to integrate and scale Twelve Labs technology within their environments. Drive co-innovation projects, developing proof-of-concept integrations that demonstrate the value of Twelve Labs technology and inspire broader adoption. Represent Twelve Labs externally—speaking at conferences, publishing technical content, and cultivating thought leadership in the AI and video intelligence space. Monitor the competitive landscape and emerging technologies to inform product strategy and identify high-leverage opportunities for integration. Partner with leadership to shape go-to-market models, pricing structures, and joint business plans with strategic partners. Serve as the customer’s technical advocate, synthesizing partner feedback into actionable insights for the product roadmap. You may be a good fit if you have 8+ years of experience in Solutions Architecture, Partner Engineering, or Technical Pre/Post-Sales, with at least 3+ years in a leadership or people management role. Proven experience building and scaling partner or solution engineering functions in a startup or high-growth environment. Strong technical foundation across cloud infrastructure (AWS, GCP, Azure) and API-based integration architectures. Deep understanding of developer ecosystems, including familiarity with HTTP, JavaScript, Web SDKs, RESTful APIs, and modern application frameworks. Demonstrated ability to influence C-level and technical stakeholders, driving alignment between business and technical outcomes. Excellent storytelling and communication skills—you can inspire both engineers and executives. High comfort operating in ambiguity, balancing strategic vision with hands-on execution. A passion for AI/ML and multimodal technologies, and a desire to become an expert in how large visual-language models can transform industries. Bachelor’s or advanced degree in Computer Science, Engineering, or a related field (or equivalent experience) 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. 🛂 VISA support where applicable

Develop and maintain low latency, high throughput ML systems and services, lead engineering efforts, and mentor junior engineers. | 6+ years industry experience with Python-based production services, ML model deployment experience, and technical leadership. | Who We Are At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities. TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. About The Role As a Software Engineer, Machine Learning at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e ML & engineering workflows. Delivering highly reliable, low latency, high throughput services is the essence of the role. This role is a perfect fit for experienced engineers with some past machine learning experience who want to go deep on unsolved problems in multimodal AI systems, orchestration, operations, and deployment. In This Role, You Will: • Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency systems • Craft performant APIs using modern Python tools • Build the highest impact, not the flashiest, libraries and services • Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices • Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers You May Be A Good Fit If You Have: • 6+ years of relevant industry experience • Designed production services using Python, Postgres, FastAPI, SQLAlchemy, Pydantic (and friends) • Demonstrated experience as a technical lead to deliver projects end to end • Exposure to machine learning models in production environments (e.g. deployment, serving, lifecycle management, monitoring) Strong Candidates May Also Have Experience: • Scaling ML systems and/or data infrastructure to workloads of petabyte+ scale • Building Kubernetes-based systems for distributed data/ML workflows Interview Process 1) Recruiter Phone Screen 2) Initial Technical Assessment 3) Hiring Manager Interview 4) Onsite Technical Interview [In-Person] 5) Final Interview: Culture Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. 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. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $225K - $325K