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Alloy Robotics is seeking a field-focused engineer to be the technical face in the US, embedding with robotics teams, getting data flowing, building the analyses that prove value, and carrying what you learn back into the product. You will travel to deployments and pilots, working closely with customers and the product team.
Expect 50%+ travel, hands-on onboarding, ingestion and integration work, and a strong emphasis on shaping field learnings into platform improvements.
We believe robotics is the industry of our lifetime, and data is its lifeblood.
Alloy is the AI-native data platform for robotics teams. Robot fleets generate enormous volumes of logs, video, telemetry, and mission data, and most of it ends up in silos where nobody can use it. Alloy turns it into one queryable layer with AI agents on top: engineers ask questions in natural language, get automated mission reports, and catch failures before they compound. The point is simple. Your robot breaks, you find out why, and your best people spend their time building the next robot instead of digging through the last one.
We've raised $16m, backed by Square Peg, Blackbird, and Airtree, with angels including senior leaders from OpenAI, Anthropic, Tesla, Waymo, and Halter. We partner with robotics teams across defence, agriculture, maritime, humanoids, construction, and medical, including Advanced Navigation, DroneForge, Breaker Industries, and Puralink. We're a lean team building from Sydney, and are adding our first US hires.
The product works: fleets stream data in, engineers replay missions in 3D, agents answer and report. What turns a good evaluation into a customer who can't run their fleet without us is an engineer in the room. In the US, that's you.
You'll be the technical face of Alloy in the field: embedded with US robotics teams, getting their data flowing, building the analyses that prove value, and carrying what you learn back into the product. Half solutions engineering, half product engineering, all customer.
Travel is real: expect 50% or more, embed weeks flexing with pilots.
Own technical success end to end: onboarding, ingestion, integration
Run pilots to conviction: define success criteria, build to them
Embed on-site; be the engineer customers trust
Ship field learnings back into the platform
Build playbooks that make each deployment faster than the last
3+ years of engineering with real customer-facing time
Strong Python and data skills in a modern web stack
Presence in a technical room: workshops, live debugging, off-script demos
Self-direction in the field, 50%+ travel appetite
Based in or near San Francisco
Robotics or hard-tech exposure (ROS/MCAP a plus)
LLM and agent-systems experience
Zero-to-one startup time
We're building the company we always wanted to join: small, fast, and serious about the craft. The bar is work you'll be proud of in five years, shipped this week. Everyone owns outcomes end to end: the interesting problems don't come with instructions, and nobody will hand you a playbook. We question requirements, delete what shouldn't exist, and spend our energy where customers feel it. If you want clear lanes and a manager to set your week, we'll frustrate you. If you want real problems, real pace, and the best work of your career, you'll fit right in.
Competitive salary
Additional compensation and benefits may include equity and flexible working arrangements
Alloy Robotics is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.