Turing - Senior Technical Recruiter
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Requirements
• Type: Individual Contributor • Type: • We are looking for an exceptional Senior Technical Recruiter to join our Talent team. This is a full-cycle, individual contributor role responsible for driving end-to-end recruitment for technical positions across the organization, with a focus on AI, ML, and agentic engineering talent. • The ideal candidate is a strategic operator — someone who recruits with the end in mind, builds trusted relationships with executive stakeholders, and closes competitive offers without flinching. You bring deep sourcing expertise, strong market instincts, and a data-driven approach to every search. You have a track record at companies people recognize, long tenures that reflect real ownership, and the startup experience to thrive in a high-velocity, high-ambiguity environment. • This is not a requisition-processing role. We are looking for someone who treats recruiting as a craft and AI as a competitive advantage. • 6–10+ years of full-cycle technical recruiting experience, with at least 3 years in a senior or lead individual contributor capacity • Demonstrated success hiring for Engineering, AI/ML, Agentic Systems, Data, or Security roles in competitive markets • Proven experience influencing executive-level stakeholders and partnering with senior hiring managers as a strategic advisor • Meaningful tenure at previous employers reflecting real ownership and investment in outcomes, not frequent role-hopping • Startup or high-growth experience preferred; comfort with ambiguity, shifting priorities, and building process where little exists • US-based hiring experience required; global hiring exposure a strong plus • Core Competencies • Core Competencies • End-to-end technical recruiting with a specialization in AI/ML or agentic engineering talent • Advanced sourcing expertise: Boolean search, LinkedIn Recruiter, GitHub, talent mapping, and AI-assisted sourcing tools • Offer negotiation and candidate closing, including competing offer management and counter-offer inoculation • Data-driven recruiting: pipeline metrics, conversion tracking, capacity planning, and reporting to leadership • Market intelligence: compensation benchmarking, talent landscape analysis, competitor insights • ATS proficiency (Greenhouse preferred) • Executive presence and the ability to influence senior stakeholders with data and clear recommendations • Strategic problem-solving — you diagnose root causes, not just symptoms • Strong ownership mindset: you treat every open role as your own business problem to solve • High resilience and accountability; you close what you open • Comfort operating at startup speed with limited support infrastructure • Intellectual curiosity about AI and its implications for the talent landscape • Ideal Background • Ideal Background • We are especially interested in candidates who have built their careers at: • AI-first companies or AI research organizations • High-growth technology startups (Series B through IPO) • SaaS or product-led technology companies • Enterprise technology firms with rigorous technical hiring standards • The strongest candidates will have a clear arc — serious companies, meaningful tenures, progressively complex roles — and will be able to speak credibly about the AI talent market, not just navigate a requisition queue.
Responsibilities
• Own and manage the full recruitment lifecycle for technical roles, with particular depth in AI, ML, agentic systems, and software engineering • Partner directly with executive and senior hiring managers to run structured intake meetings, define hiring strategy, and align on success criteria • Build proactive, multi-channel sourcing strategies using LinkedIn Recruiter, GitHub, Boolean search, talent mapping, referral networks, and AI-powered sourcing tools • Screen and evaluate candidates for both technical capability and cultural alignment • Manage the interview process end-to-end, ensuring a consistent and high-quality candidate experience • Drive stakeholder alignment and influence hiring decisions at the executive level with data, market intelligence, and clear point-of-view • Lead offer negotiations and candidate closing conversations, including managing competing offers, counter-offer scenarios, and complex compensation structures • Provide ongoing market intelligence: compensation benchmarks, talent mapping, competitor hiring trends, and AI talent landscape shifts • Track and report on pipeline metrics, conversion rates, and time-to-fill; maintain rigorous ATS hygiene (Greenhouse preferred) • Champion AI-forward recruiting practices — actively evaluate and adopt tools that improve sourcing quality, pipeline efficiency, and candidate assessment • Continuously improve hiring processes for speed, quality, and equity
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