Technical Sourcer
XDOF
Technical Sourcer
XDOF
Data pipelines and annotation for robotics
At XDOF, we’re at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We’re building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain – to help our partners drive the field forward.
We're hiring a Technical Sourcer to build the pipeline of talent that will take XDOF through its next stage of growth. You'll own sourcing for our hardest-to-fill technical roles — robotics engineers, data infra engineers, and product engineers — in a competitive, fast-moving market. This is a high-ownership role on a lean team: you'll partner closely with founders and hiring managers, not just take requisitions and run searches.
Build and run sourcing strategies for technical roles across robotics, infrastructure, and product engineering, including niche and hard-to-fill positions.
Proactively identify, engage, and build relationships with passive candidates through channels like LinkedIn Recruiter, GitHub, niche robotics/ML communities, top journals /conferences, and referrals.
Partner with hiring managers and founders to translate role requirements into precise sourcing criteria and compelling outreach.
Write and iterate on outreach messaging that stands out to senior, in-demand engineers who aren't actively job-hunting.
Manage and continuously improve the top-of-funnel pipeline: track sourcing metrics, experiment with new channels, and double down on what converts.
Maintain a strong, organized candidate pipeline and ensure a fast, high-quality candidate experience from first touch through handoff to the interview process.
Help build sourcing process, tooling, and market maps as the team and hiring needs scale.
2+ years of technical sourcing or recruiting experience, ideally in a startup or high-growth environment; experience sourcing for robotics, ML, or data infrastructure roles is a strong plus.
A track record of successfully engaging and closing passive, senior technical candidates in competitive markets.
Genuine curiosity about the technical work itself — comfortable learning enough about robotics, ML, and infrastructure to speak credibly with engineers and identify strong-fit candidates.
Excellent written communication; you can craft outreach that gets a reply from someone who gets a dozen recruiter messages a week.
High ownership and self-direction — comfortable building process from scratch rather than working within an established playbook.
Strong organizational instincts for managing pipelines, data, and follow-up across multiple concurrent searches.
Bonus: experience sourcing in the Bay Area robotics/hardware ecosystem, or a network in that space.
XDOF builds data pipelines, data-collection tools, and annotation systems that frontier AI labs and robotics companies use to train robots to operate in the physical world. It tackles the data bottleneck in physical AI by combining teleoperation, simulation, and egocentric data collection, then layering in data cleaning, tooling, and annotation to prepare usable datasets. The company differentiates itself through its end-to-end data infrastructure for physical AI, its mix of teleoperation, simulation, and first-person data methods, and its Berkeley-founded background from 2024. Its goal is to enable robots to learn to operate in the real world by providing the pipelines and labels needed for training.
Explore more opportunities at XDOF