Technical Program Manager

As our Technical Program Manager, you will be the operational backbone connecting research, engineering, and product. You will turn open-ended challenges into streamlined execution-running core data pipelines, coordinating complex model evaluation cycles, and steering launch readiness., * Drive Model & Milestone Delivery: Own cross-functional programs end to end-from benchmark readiness and eval cycles to public model launches-keeping timelines clear and unblocking technical teams.

• Scale Data & Evaluation Operations: Partner with researchers to translate experimental goals into reliable data collection, annotation pipelines, and quality-assurance loops (gold sets, calibration, error analysis).
• Lead Partner & Vendor Programs: Evaluate, onboard, and manage external data providers and compute/data vendors, ensuring delivery quality, cost efficiency, and smooth procurement.
• Establish Lightweight Operating Systems: Build simple, pragmatic trackers, documentation standards, and launch checklists that help the team move fast without dropping critical details.
• Bridge Technical & Go-to-Market Workstreams: Collaborate across research, product, and founders to prepare evaluation datasets, support pilot deployments, and coordinate partner-facing deliverables.

• Technical Program Ownership: 3+ years managing complex, cross-functional programs in fast-paced software, infrastructure, or data-intensive technical environments.
• Curiosity & Technical Fluency: Comfort collaborating directly with ML scientists and software engineers, with an eagerness to quickly ramp up on model evaluation workflows and AI concepts.
• Execution & Systems Mindset: Demonstrated ability to turn broad, undefined goals into structured workflows with high attention to operational quality and follow-through.
• Clear, Concise Communication: Strong written and verbal communication skills capable of translating technical requirements into actionable plans and clean documentation.
• Startup Agility: A proactive, roll-up-your-sleeves approach to tackling high-priority problems across operations, tooling, and partner logistics.

Nice to have

• Prior exposure to frontier model development workflows, data labeling/annotation pipelines, or model evaluation cycles.
• Experience navigating vendor evaluations, service agreements, or procurement workflows.
• Background operating in high-growth, early-stage, or research-heavy engineering environments.

We are a well-funded, early-stage AI research and product lab focused on building the next generation of frontier multimodal AI models. Founded by former DeepMind researchers-including Andrew Dai, previously an engineering leader on Gemini-our mission is to push the frontier of visual and multimodal intelligence. Our first model, Glimpse, launched publicly in October 2026.

Our team currently consists of 25 world-class scientists and engineers. We raised a $55M seed round led by Altimeter Capital, Menlo Ventures, Striker VC, and NVIDIA. We are tackling foundational problems in artificial intelligence and translating cutting-edge multimodal research into scalable, real-world systems.