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In office (Bengaluru)
Overview
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Humynlabs is an AI-first data intelligence platform enabling AI training and evaluation to deliver high-quality multimodal datasets with robust quality control for reliable, production-ready outcomes.

Responsibilities:

  • The full commercial motion, from first touch to closed contract, across our four buyer cohorts: foundation model labs, physical AI builders, world model companies, and voice AI builders.
  • Expansion of our anchor accounts. We have signed work with a leading humanoid company and active contracting across multiple accounts; your job is to deepen these and add the next ten.
  • Deal structuring and pricing discipline on contracts from six to eight figures of ACV. You hold the price line; you do not discount to close faster.
  • The feedback loop to the founders and delivery team on what buyers actually need, where the data gaps are, and which cohorts to lean into next.
  • Our presence in the rooms that matter: robotics, embodied AI, and voice AI research venues where these buyers are.

Requirements:

  • You can get into a room with an AI/ML research lead, robotics engineering head, or R& D data owner at a frontier lab, humanoid company, world model team, or voice AI builder and be taken seriously. Warm relationships in at least one of these cohorts are the bar, not a bonus.
  • You have sold real-world data, sensor or capture data, or a technical capability to one of these buyers (as seller or buyer), and you can hold a credible conversation about capture pipelines, multi-modal data, and model training needs without a sales engineer in the room.
  • A genuine hunter who has built and closed an enterprise pipeline independently, owning the full cycle, including complex procurement and six-to-eight-figure ACV.
  • Fluency, or fast-ramp fluency, in the embodied AI/humanoid / VLA / world model landscape.
  • You do not need us to explain what an egocentric dataset or a VLA model is.
  • The judgment to position a strategic data partnership, not a commodity service, and the discipline to walk away from a deal that prices us as a vendor.
  • Comfort operating as a founding hire: ambiguity, your own structure, direct line to founders, no layers.

Strong signals:

  • Existing relationships at frontier labs or physical AI companies
  • You have sold data for physical AI, autonomous robotics, or voice AI use cases specifically.
  • Early GTM experience at a high-growth data or AI infrastructure company.
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