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Director of TA Operations & Insights

Snorkel AI· 534 - People
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Hybrid (San Francisco, CA or New York, NY)$170k - $300kFull-timePosted 2mo ago

About the role

Director-level role leading Talent Acquisition Operations & Insights to design, implement, and optimize TA systems, processes, and data-driven insights to scale hiring in a hyper-growth technical environment.

Responsibilities

  • Build and lead the TA operations function for Snorkel AI, including recruiting systems, tools, workflows, reporting, process, and coordination.
  • Own the recruiting tech stack, including ATS configuration, integrations, automation, data quality, vendor management, and tool optimization.
  • Modernize TA operations through better systems, scalable processes, automation, and thoughtful use of AI.
  • Lead recruiting coordination, ensuring a high-quality, efficient, and consistent candidate and hiring manager experience.
  • Design and improve end-to-end recruiting processes across intake, approvals, job posting, sourcing workflows, interview scheduling, feedback collection, offers, onboarding handoffs, and reporting.
  • Develop and maintain TA metrics, dashboards, insights and reporting for recruiting leadership, hiring managers, and company leadership.
  • Use data to identify process gaps, pipeline bottlenecks, operational risks, interviewer capacity issues, and opportunities for improvement.
  • Partner with recruiting leaders, People Operations, Finance, Legal, IT, and business stakeholders to ensure TA processes are scalable, compliant, and aligned with company priorities.
  • Create governance and documentation for recruiting operations, including process guides, system standards, SLAs, data definitions, and reporting cadences.
  • Evaluate and implement AI-enabled recruiting tools and workflows that improve recruiter productivity, candidate experience, scheduling efficiency, sourcing support, and decision quality.
  • Build operational rhythms for headcount planning, recruiting capacity planning, funnel reviews, and hiring progress reporting.
  • Ensure data integrity across recruiting systems so leaders can make confident decisions based on accurate information.

Qualifications

  • Experience building or leading TA operations in a hyper-growth technical startup environment.
  • Deep experience owning recruiting systems, tools, processes, reporting, and operational infrastructure.
  • Strong understanding of ATS architecture, recruiting workflows, system integrations, data hygiene, and recruiting analytics.
  • Experience leading recruiting coordination or designing scheduling operations at scale.
  • Strong analytical skills, with experience building dashboards, reporting frameworks, and metrics that drive business decisions.
  • Experience using data to improve recruiting productivity, funnel conversion, hiring speed, candidate experience, and operational accountability.
  • A track record of modernizing TA operations through process improvement, automation, tooling, or AI-enabled workflows.
  • Strong project management skills, with the ability to manage cross-functional initiatives from design through implementation.
  • Excellent stakeholder management skills across Recruiting, People, Finance, Legal, IT, and business leadership.
  • Comfort operating in fast-changing environments where systems and processes need to be built, improved, and scaled quickly.

Skills

Required:TA operations leadershipATS architecture and configuringData analytics and dashboardsCross-functional stakeholder management

Benefits

  • Be Your Best at Snorkel—opportunities to shape priorities and initiatives, influence key strategic decisions, and impact ongoing success.
  • Equity in a rapidly scaling company.
  • Support for career development and leadership opportunities.
  • Competitive compensation and comprehensive benefits (as described by company).
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Snorkel AI

Shaping how AI learns through better data

Snorkel AI delivers the highest quality specialized datasets for frontier LLMs and enterprise models.

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