Associate Director, Growth (Talent Operations)

SuperAnnotate AI•San Francisco, CA

20h•$170,000 - $200,000•Hybrid

About The Position

SuperAnnotate is hiring an Associate Director, Growth (Talent Operations) to own the function responsible for sourcing, attracting, and onboarding specialized human talent for its AI data programs. Reporting directly to the Chief Business Officer, this hands-on leadership role will scale contributor pipelines across domains and geographies. The role sits at the intersection of talent strategy, recruiting operations, and data-driven execution, partnering with program and operations leaders to meet contributor demand while building sustainable infrastructure. It is a full-time, hybrid position based in San Francisco. The successful candidate will set talent supply strategy for specialized talent pools, evolve the contributor acquisition system, and design, deploy, and measure AI-enabled workflows across sourcing, screening, and onboarding. They will manage acquisition at scale across concurrent customer programs, lead a growing recruiting team, own the function’s budget and vendor decisions, and plan supply in coordination with Operations, Program, and executive leadership. They will track pipeline health, time to first accepted work, contributor quality, retention, and workforce utilization, and flag risks and capacity gaps before they affect delivery.

Requirements

At least 7 years of experience in talent acquisition, workforce operations, or recruiting program management.
At least 2 years of experience leading a recruiting team.
Experience running high-volume recruiting or sourcing programs.
Hands-on experience designing and deploying workflows, agents, or systems with an AI-first mindset, including defining system behavior, testing and measuring outcomes, and directing an engineer building the system.
Experience building or scaling sourcing infrastructure, recruiting systems, or acquisition workflows.
A track record of using data to diagnose problems and improve results.
Experience hiring, coaching, and developing recruiters.
Working knowledge of how annotation, RLHF, and evaluation data is produced and judged.
Fluency with sourcing automation and recruiting technology, and the ability to build them into scalable workflows.
Comfort making decisions with incomplete information as priorities and program scopes shift.

Nice To Haves

Experience running recruiting or sourcing programs in workforce, gig economy, or human data environments.
Experience working directly with an engineer or technical partner to build recruiting systems.
Experience managing distributed or international recruiting teams.
Exposure to market mapping, talent intelligence, or supply-demand forecasting for contractor workforces.
Experience hiring, coaching, and developing recruiters that includes team leads.

Responsibilities

Set the talent supply strategy for specialized and hard-to-find pools, including domain experts, subject matter professionals, and contractor workforces.
Evolve the contributor acquisition system from sourcing through first accepted work, automating steps that do not require human involvement.
Design and deploy AI-enabled workflows and agents for sourcing, screening, and onboarding, and measure them against contributor quality.
Test messaging, targeting, and channels, and shift effort toward approaches that produce contributors who meet the quality bar.
Own the function’s budget, channel spend, and vendor decisions.
Document the processes and standards used by the team.
Manage and develop a growing team of recruiters, set clear goals, monitor KPIs, and build a high-performance team culture.
Develop a team that independently solves sourcing problems and uses AI in its daily work.
Run high-volume acquisition across multiple concurrent customer programs without lowering the quality bar.
Build a forward supply plan with Operations, Program, and executive leadership, aligned with program demand.
Report on pipeline health, time to first accepted work, contributor quality, retention, and workforce utilization.
Identify risks, blockers, and capacity gaps before they affect delivery.