Marketplace Operations Lead

Turing • San Francisco, CA

6d • Onsite

About The Position

Turing is hiring a senior individual contributor to own its most challenging talent-matching requests, including US-based roles, unfamiliar role types, and large, urgent hiring pushes. The lead works with project teams to understand requirements, set credible hiring timelines, and ensure talent is assessed, hired, and working by the promised date. When hiring falls behind, this person coordinates sourcing, assessment, talent operations, and onboarding teams, identifies recovery options, and stays accountable through completion.

The role owns US-based and specialized hiring end to end, develops reusable playbooks for new role types, and serves as the main contact for project teams. It also tracks hiring performance, reports metrics to leadership, and works hands-on with product and engineering teams to improve the matching platform, AI interviewer, and assessment tools. The lead helps establish standards for planning, communication, escalation, and coaching across the team.

The position is based onsite in Turing’s San Francisco or Palo Alto office, with occasional travel. It reports to the Head of Platform Operations. Compensation is $150,000–$230,000 plus equity.

Requirements

• At least 5 years of experience in fast-moving operations roles, such as marketplace or supply operations, strategy and operations, consulting, early-stage startup operations, or staffing.
• Track record of recovering off-track work and delivering against hard deadlines, including taking ownership beyond assigned responsibilities.
• Ability to quickly learn unfamiliar domains and assess what good talent looks like across fields such as software engineering, medicine, and linguistics.
• Excellent written and in-person communication, including concise updates to senior stakeholders and customers when communicating difficult news.
• Ability to work effectively with product and engineering teams, adopt developing tools, identify problems, and provide specific feedback.
• Comfort with data and ability to build reports in spreadsheets or SQL and manage work using metrics.
• High ownership and willingness to step in when a stalled task is owned by someone else.
• Based in the San Francisco Bay Area and able to work from the San Francisco or Palo Alto office.

Nice To Haves

• Experience in a two-sided marketplace, AI data or annotation company, or expert-network company.
• Experience running a high-volume supply or hiring funnel, including sourcing, screening, and onboarding.
• Experience leading or mentoring a team.
• Experience working with distributed teams across the Americas, Europe, and India.
• Hands-on use of AI tools in personal work.

Responsibilities

• Pick up new hiring requests the same day, clarify requirements with project teams, identify risks, and commit to hiring timelines.
• Serve as the single point of contact for project teams and maintain visibility into the status of every open position.
• Determine appropriate candidate assessment methods and design screening processes with project teams.
• Flag at-risk timelines promptly and develop recovery plans.
• Use available recovery options, including adjusting requirements, opening sourcing channels, engaging staffing partners, adjusting pay within approved limits, and helping with screening, scheduling, or candidate calls.
• Own US-based hiring from sourcing strategy through assessment and candidate start date.
• Handle new and unusual role types and create reusable playbooks for the team.
• Track and report hiring metrics, including time to first hire, hires against committed timelines, post-start quality, and the number and duration of at-risk positions.
• Work with product and engineering teams on the matching platform, AI interviewer, and assessment tools; use the tools and provide specific feedback.
• Improve team standards through clear processes, written updates, and in-the-moment coaching.
• Escalate and resolve hiring issues, including outside normal hours when required by a large hiring push.

Benefits

• Equity.
• Opportunity to work on frontier AI datasets, reinforcement learning environments, and benchmarks.
• Opportunity to contribute to AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS.
• Opportunity to apply frontier AI innovations to enterprise business challenges.
• Collaboration with colleagues with AI experience from leading technology companies.
• Startup-paced work with ownership and impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed