Find and sign new capture partners (for example industrial and home services companies).
Build outbound pipeline via cold calls, email, and LinkedIn.
Qualify quickly: who owns the workflow, who can approve a pilot, and what it would take to launch.
Pitch Trace clearly and credibly to operators and owners.
Run discovery to shape pilot structure, including participants, timelines, incentives, and constraints.
Own deals end to end through agreement signature.
Coordinate handoff to the onsite onboarding lead and keep partners engaged through kickoff.
Capture objections and update messaging, scripts, and FAQs based on what you learn.
Maintain clean CRM hygiene with clear notes, stages, and next steps.
Requirements
1+ years in BDR, SDR, or inside sales, with experience owning deals beyond initial qualification
Comfortable running full-cycle conversations with operators and decision makers
Strong phone presence and clear written communication
Comfortable with ambiguity and fast iteration
Organized and reliable with tight pipeline management
Collaborative, grounded working style with openness to feedback
No robotics background required, but curiosity and ability to learn quickly are essential.
Bonus points: Experience in start ups selling to industrials, trades, logistics, or other real-world operators.
Comfort structuring non-standard deals and partner incentives.
Experience building outbound or partnerships motion at an early-stage company.
Benefits
A world-changing problem: Physical AI will reshape entire industries, but it cannot scale without real-world data. Trace is addressing one of the core constraints holding the field back.
Early but real traction: Active pilots with growing demand on both sides of the marketplace.
Experienced, tight-knit team: Ex founders, PhDs, and operators with a track record of building and scaling together.
Real ownership: This is early. Your work will materially shape the product, systems, and direction of the company.
Foundational platform: We are building core infrastructure that enables many future products and use cases as physical AI evolves.