Talent Acquistion-Tech Track AI & Data

Title:

You own fulfilment for every AI, ML and Data requirement across our client Clusters. This is a player-coach role: you lead the Track team and personally close the hardest senior and niche roles.

Key responsibilities

• Own the Track funnel.

  Deliver every AI, ML, Data Engineering, Analytics and MLOps requirement from intake to client interview, within agreed turnaround times.

• Keep the talent bench ready.

  Maintain our assessed AI and Data talent pool, segmented by skill and seniority, with fresh availability, notice and pay data.

• Map the talent market.

  Track scarce skills, competitor pools and communities (GitHub, Kaggle, research and open-source networks) to stay ahead of demand.

• Raise the hiring bar.

  Define skill archetypes, scorecards and assessment rubrics with the Welocity product team, and tune them using client feedback.

• Close the hard roles.

  Personally lead senior, architect and leadership searches in the specialist lane.

• Partner with Account Managers.

  Run structured intake calls, sharpen requirements and close the loop on client feedback.

• Build the team.

  Hire, coach and lead a Track team of recruiters and sourcers, scaling with demand.

What success looks like

Metric

What it shows

Time to first submission

Speed from requirement to profile in front of the client

Submission-to-interview ratio

Quality and fit of what we send

Interview-to-offer ratio

How well we read the client's real need

Offer-to-join ratio

Candidate engagement and closure

Share of submissions from inventory

How well the Track's bench is stocked and kept warm

Time to fill for senior and niche roles

Strength of the specialist lane

Who we are looking for

Experience

• 10–15 years in technical recruitment, with deep focus on AI/ML, Data and engineering roles.
• A track record of closing hard-to-fill roles: ML Engineers, Data Scientists, NLP specialists, MLOps, Data Architects and senior engineering leaders.
• Has built or scaled a technical hiring team, ideally including a 0-to-1 build.
• Has built and maintained a talent network or community in AI and Data that you can bring with you.
• Hands-on with AI-led recruiting: screening bots, interview intelligence, automated workflows and recruiting analytics.
• A technical or CS background, or enough depth to screen candidates credibly, is a strong plus.