About Us
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.
About the role
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.
This is a high-visibility, hands-on role where you partner directly with our co-founders and researchers. If you enjoy cutting through ambiguity, designing lightweight systems that eliminate friction, and being close to frontier model development, you will thrive here.
What you will do
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.
What we are looking for
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.
