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Snorkel AI

Builds training data and test environments for AI

Head of Growth - AI Network

Business OperationsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 8 years of experience in growth, marketplace or talent supply, workforce acquisition, partnerships, recruiting, or operations, including at least 5 years leading teams.
  • Experience scaling the supply side of a marketplace, talent network, staffing platform, professional-services business, or another model dependent on attracting scarce, specialized talent.
  • A record of leading a multi-channel growth portfolio, owning multiple major levers and making trade-offs across paid acquisition, recruiting, partnerships, referrals, community, and external vendors.
  • Strong analytical and experimental judgment, including defining a funnel, establishing credible attribution, evaluating channel economics, setting test thresholds, and making investment decisions with incomplete information.
  • Experience building and managing strategic partnerships, potentially including professional associations, universities, research institutions, staffing firms, BPOs, or other workforce partners.
  • General-management judgment connecting acquisition decisions to revenue delivery, quality, speed, cost, and risk rather than optimizing a channel in isolation.
  • Ability to align senior leaders, communicate decisions and trade-offs, and create accountability across teams not directly managed.
  • Ability to set direction, build from zero, work hands-on when needed, and create structure in ambiguous, fast-moving environments.
  • Use of AI tools to accelerate research, analysis, experimentation, content, and operating workflows while applying sound judgment to the output.

Responsibilities

  • Define the long-term expert acquisition strategy and determine how to attract, develop, and retain expert capabilities that strengthen the AI Expert Network as a strategic asset.
  • Build a differentiated base of human intellectual capital through sourcing channels, trusted communities and partnerships, and durable expert relationships; focus investment on capabilities and network strengths that improve customer service and are difficult for competitors to replicate.
  • Translate current and projected demand into acquisition targets by skill, domain, geography, worker type, and timing; set the operating plan and remain accountable through successful activation and first accepted work.
  • Lead the channel portfolio across paid acquisition, recruiting, referrals and community, organic growth, industry and higher-education partnerships, BPO and staffing partners, and new levers; design and own the expert referral program, including incentives, operating model, and performance measures; shift investment as demand and channel performance change.
  • Set and manage customer acquisition cost targets for every channel; improve targeting, conversion, partner economics, and operating efficiency; build attribution, set test budgets and success thresholds, and scale or stop channels based on the cost of producing qualified, activated experts who complete accepted work.
  • Develop relationships with professional associations, domain-specific industry groups, colleges, graduate programs, research labs, and other institutions that can provide scarce expert talent, and turn one-off relationships into repeatable programs.
  • Source and onboard business process outsourcing and vendor partners; shape commercial models with Finance and Legal; set expectations for capacity, quality, and turnaround time; expand or exit relationships based on performance; and manage geographic and partner-concentration risk.
  • Define the growth scorecard, including metrics, source data, targets, and decisions; provide visibility into cost per activated expert, speed to activation, domain match, quality, retention, availability, and channel return.
  • Partner with Supply Planning, Expert Community Experience, Delivery, Product, Engineering, Analytics, Marketing, Finance, and Legal to remove friction from sourcing through qualification, onboarding, activation, and first accepted work.
  • Identify performance gaps early, find root causes, size opportunities, make trade-offs across speed, quality, cost, and risk, measure the impact of changes, and adjust when needed.
  • Build the playbooks, operating cadence, forecasting inputs, partner-management routines, and talent needed to scale across domains and geographies; hire, coach, and lead the people running each growth lever.

Desired Qualifications

  • Experience with AI training data, model evaluation, expert networks, or technology-enabled services.
  • Experience acquiring technical or domain-specific experts in areas such as coding, STEM, law, healthcare, finance, or other advanced fields.
  • Existing relationships with professional associations, universities, graduate programs, or research institutions.
  • Experience managing a global BPO, staffing, or workforce-vendor portfolio, including commercial terms, quality expectations, and concentration risk.
  • Experience partnering with product and engineering teams to improve acquisition, matching, onboarding, or activation workflows.

About the Company

Snorkel AI

Builds training data and test environments for AI

Snorkel AI builds training datasets and simulated work environments for AI labs and companies developing models and software agents. Its data products combine expert demonstrations, scoring rules, and quality checks, while runnable environments let agents practice tasks such as coding or using business software. The company pairs domain specialists with its own data development technology to generate examples, evaluate model behavior, and refine weak areas through repeated feedback. Customers buy ready-made datasets or commission tailored data and evaluation work, and enterprises also use its specialized agent solutions. Snorkel AI was founded in 2019 and is headquartered in San Francisco, California.

Company size
201-500
Company stage
Late Stage VC
Total funding
$586.2M
Headquarters
San Francisco, CA
Founded
2019

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