jobapplier

Commercial Lead

inDrive

Responsibilities

Own the pipeline and the number

  • Build and run outbound to AI labs, applied AI companies, and data vendors who need collection capacity they don't have in-house.
  • Qualify hard and early: match buyer requirements against what our network can realistically deliver, and walk away from deals that don't fit.

Run complex, technical deals

  • Collect buyer requirements (languages, demographics, modality, annotation depth, licensing scope), push back when a spec isn't deliverable.
  • Manage pilots and convert them into recurring volume.

Shape pricing and commercial framework

  • Own our price book across modalities (per audio hour, per image, per video hour, per annotated unit) and defend margin against buyer pressure and vendor benchmarks.
  • Alongside with the business unit leader work with legal, privacy and tax on DPAs, consent frameworks,contracts across multiple jurisdictions.

Build the channel

  • Develop partnerships with data vendors and platforms who can route demand to us where we have coverage they lack.
  • Represent DataTasks at the venues where this market actually buys - research conferences, data and AI events, and buyer-side procurement teams.
  • Feed the roadmap
  • Bring structured demand signal back into product and operations

Requirements

  • Experience in B2B sales, business or commercial roles, with a track record of closing complex deals you personally sourced and ran.
  • Genuine zero-to-one appetite. There is no inbound, no established brand in this market, and no playbook to inherit.
  • Fluent English, written and spoken, at a level suitable for negotiating with US and EU counterparties.

Preferred

  • An existing network among AI labs, data vendors, or enterprise AI teams.
  • Experience operating in or selling data from emerging markets.
  • Working knowledge of data protection regimes (GDPR, LGPD, and equivalents in our operating markets).
  • Additional languages, particularly Spanish, Portuguese or Russian.

Key Responsibilities

Sell to technical buyers - data leads, research managers, ML and data ops teams - in long, spec-heavy, consultative cycles.

Must have

  • Direct experience in AI/ML data, data annotation and labelling services, data licensing, or a closely adjacent technical services market.
  • Comfort selling to technical and research buyers.

Why join us

  • Help us challenge injustice by creating fair choices for millions of people across 47 countries
  • Develop your professional skills with access to mentoring, career consulting, and learning programs
  • Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
  • Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
  • Work alongside people who take initiative, speak openly, and challenge themselves to grow
  • Improve your language skills through co-financed courses and internal speaking clubs

Annual salary from 75 600 EUR gross

Final benefits may vary depending on the location.