AI/ML Talent Researcher
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Job Description
Talent Researcher focusing on mapping emerging technical domains and surfacing under-the-radar talent. Provide market intelligence to sharpen hiring precision in AI and ML sectors.
Responsibilities:
- Build and maintain deep talent maps across priority domains.
- Map org structures at leading AI labs, voice startups, hyperscalers, and adjacent infra companies. Identify key builders, not just visible title holders.
- Translate ambiguous hiring signals into structured research plans.
- Partner closely with recruiters and hiring managers to clarify “what good looks like,” define search criteria, and deliver actionable longlists quickly.
- Deliver market intelligence that shapes strategy.
- Provide insights on compensation bands, geographic clustering, hiring velocity, emerging companies, and adjacent talent pools. Help leadership understand not just who to hire- but where and why.
- Create just-in-time readiness.
- Maintain evergreen longlists in core verticals (Research, Applied ML, Infra Engineering, Technical Product, GTM) so we can move with speed when headcount opens.
- Improve research infrastructure.
- Refine our workflows, tooling, documentation, and data hygiene. We operate in Ashby and modern sourcing tools- but the system only scales if the underlying thinking is sharp.
- Move fast with quality.
- Within days of a role intake, deliver structured longlists, org breakdowns, and competitive snapshots to accelerate calibration and outreach.
Requirements:
- 5+ years in talent research, executive search, or high-complexity sourcing with a strong analytical component.
- Proven ability to build org charts and talent maps across technical domains- ideally within AI, ML infrastructure, speech, or other frontier technologies.
- Fluency in sourcing and research tools (LinkedIn Recruiter, LinkedIn Insights, data tools, structured spreadsheets, and ATS workflows). Bonus if you enjoy systematizing messy inputs.
- An analytical mindset. You don’t just collect names- you synthesize patterns and generate insight.
- Strong written communication. Most of our collaboration is async. Your output needs to be crisp, structured, and easy to act on.
- Comfort operating in ambiguity. Deepgram is high-velocity and iterative.
Benefits:
- Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
- Unlimited PTO
- Generous paid parental leave
- Flexible schedule
- 12 Paid US company holidays
- Quarterly personal productivity stipend
- One-time stipend for home office upgrades
- 401(k) plan with company match
- Tax Savings Programs
- Learning / Education stipend
- Participation in talks and conferences
- Employee Resource Groups
- AI enablement workshops / sessions
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