Head of Technical Recruiting, Snorkel AI
$200-300k
+ Stock Options
1+ day a week in office
The AI data research lab
Posted today
The AI data research lab
501-1000 employees
Posted today
$200-300k
+ Stock Options
1+ day a week in office
501-1000 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- Experience building and leading technical recruiting teams in a hyper-growth startup environment, ideally at a company scaling from approximately 100 to 1,000 employees
- Deep experience recruiting for technical functions such as Engineering, Research, Product, Machine Learning, AI, Infrastructure, Data, Applied AI, or similar areas
- Strong knowledge of the Bay Area technical talent market and competitive AI/startup hiring landscape
- A track record of building recruiting teams, developing recruiters, and creating scalable recruiting practices
- Experience partnering directly with senior technical and business leaders on hiring strategy, prioritization, tradeoffs, and execution
- Strong data orientation, with the ability to use recruiting metrics to diagnose problems, drive decisions, and communicate progress
- Demonstrated creativity in sourcing, pipeline generation, talent mapping, and candidate engagement
- Strong executive presence and communication skills, with the ability to influence across technical and non-technical audiences
- Comfort operating in ambiguity and building systems, processes, and teams where they may not yet exist
- A high bar for talent, candidate experience, and operational excellence
What the job involves
- Snorkel AI is looking for a Head of Technical Recruiting to build and lead the technical recruiting engine that will support our next stage of growth
- This leader will own the strategy, team, operating model, and execution required to hire exceptional talent across Engineering, Research, Product, Forward Deployed Engineering, and Applied AI Engineering
- This is a high-impact leadership role for someone who has built and scaled technical recruiting teams in hyper-growth startup environments, ideally from roughly 100 to 1,000 employees
- We are looking for a builder: someone who knows how to design a recruiting function from the ground up, develop a high-performing team, partner deeply with technical leaders, and compete creatively for scarce talent in one of the most competitive markets in the world
- Lead and scale Snorkel AI’s technical recruiting function across Engineering, Research, Product, FDE, and Applied AI Engineering
- Build, develop, and manage a high-performing team of technical recruiters, sourcers, and recruiting leaders as the company scales
- Own the overall technical recruiting strategy, including workforce planning, pipeline development, sourcing strategy, candidate experience, closing strategy, and capacity planning
- Partner closely with Engineering, Research, Product, and other technical leaders to understand business priorities and translate them into actionable hiring plans
- Create a world-class recruiting operating model that balances speed, quality, rigor, and an exceptional candidate experience
- Develop creative sourcing strategies for highly competitive technical and AI talent markets
- Use data to identify bottlenecks, improve conversion, forecast hiring outcomes, and drive accountability across the recruiting process
- Establish and track key technical recruiting metrics, including pipeline health, pass-through rates, time to fill, offer acceptance, source effectiveness, candidate experience, and quality of hire indicators
- Coach hiring managers and interview teams on effective assessment, structured interviewing, calibration, and closing
- Build scalable processes while remaining hands-on and close to the work where needed
- Represent Snorkel AI externally as an employer of choice for world-class technical talent
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. And recently, the company raised some serious funding which it plans to use to expand the company's engineering, research, and go-to-market efforts.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-13% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2025
$100m
SERIES D
Aug 2021
$85m
SERIES C
Total funding: $235m
Company benefits
- Health: Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.
- Wellness: All Snorkelers get a yearly wellness stipend to use on anything related to health and well-being.
- PTO and rest days: We provide unlimited personal time off so you can find your work-life balance. Plus, two company-wide rest days per quarter in addition to company holidays.
- One global team: From our headquarters in Redwood City, CA, to regional offices in San Francisco and New York, we work together as one global team.
- Events: Get to know your fellow Snorkelers outside of work! We host regular events and learning opportunities for our teams across our offices and virtually to connect, have fun, and grow.
- Family leave: Snorkel offers generous parental leave for both birthing and non-birthing parents based on eligibility.
Company HQ
Centennial, Redwood City, CA
Leadership
Alex Ratner
(Co-Founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
Salary benchmarks
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