Talent Acquisition Lead

LH2 AI Labs ·  Bengaluru  ·  Full-time  ·  On-site (Bengaluru)

Built by second-time founders who have built and sold companies before, LH2 AI Labs (lh2.ai) is building the post-training infrastructure for frontier AI models.

We bring private, high-quality institutional datasets and vetted domain experts to frontier AI pipelines across verticals like coding, computer use, agentic, medical, audio and more. 

For AI to keep progressing, it needs high-quality training data drawn from real production use cases. The public web has already been crawled and trained on – there's nothing left. That's where we come in: we envision creating a world where frontier models can access data on tap – exactly how they access compute today.

We're scaling fast, and hiring is one of our biggest bottlenecks: we need to build a core strategy bench from ex-MBB/banking talent, bring in strategic/delivery leads with real experience from data-labelling and expert-network businesses like Mercor and Turing, and hire top-tier technical talent to build our pipelines. This is an individual contributor role reporting into the Founder's Office – you'll own hiring end-to-end, not manage a team of recruiters. You'll be building the talent acquisition function itself, from scratch, alongside actually filling roles.

• Own full-cycle recruiting for strategy, GTM, and technical roles — sourcing, screening, interview coordination, offer negotiation, and closing.
• Build and run a sourcing strategy specifically for ex-consultants (MBB and tier-2) and ex-bankers who can form the core strategy/operations bench.
• Identify and recruit strategic/delivery leads with hands-on experience running projects at companies like Mercor, Turing, Surge AI, or similar data/expert-network businesses.
• Run tech hiring for engineering, data, and research roles — screen for technical depth even without a technical background yourself, using structured technical screens, take-home assignments, and technical interviewers from the team.
• Design the hiring process from the ground up: job descriptions, sourcing channels, screening rubrics, interview panels and scorecards, assignment design, and offer frameworks — there's no existing playbook to inherit.
• Build and manage a pipeline across LinkedIn, referrals, alumni networks (IIT/IIM/ISB/BITS and similar), and direct outreach to target companies.
• Track hiring funnel metrics (source, conversion, time-to-close) and continuously improve the process based on what's working.
• Represent LH2 AI Labs to candidates — for senior and niche roles, you'll often be the first real conversation a candidate has with the company, so you need to sell the mission and the role convincingly.

• Proven experience building a talent acquisition function from scratch — not just executing an existing process, but having designed one.
• Track record of hiring ex-consultants (MBB or equivalent) and ex-bankers into operating or strategy roles, ideally at an early-stage startup.
• Experience hiring technical talent (engineers, data scientists, ML/research roles) — comfortable partnering with technical interviewers to assess candidates you may not be able to fully evaluate alone.
• Familiarity with the AI/data-labelling/expert-network landscape (Mercor, Turing, Surge AI, Scale AI, etc.) — or a fast ability to get up to speed on who the relevant players and talent pools are.
• Comfortable being an individual contributor at an early-stage company — this is a hands-on, in-the-weeds role, not a strategic-oversight one, at least to start.
• High ownership and speed — you'll be expected to move fast on open roles without heavy process or hand-holding.
• Strong judgement on talent quality — able to distinguish a genuinely sharp candidate from someone who just interviews well.
• Excellent communication and candidate-closing skills — comfortable negotiating offers and handling counter-offers with senior candidates.