Senior Analytics Lead, Snorkel AI
$155-255k
Salary range is based off of tier 1 locations such as San Francisco Bay Area, New York, and Seattle. May vary in other locations. Plus stock options
Data-centric enterprise AI platform for
Be an early applicant
Data-centric enterprise AI platform for
101-200 employees
Be an early applicant
$155-255k
Salary range is based off of tier 1 locations such as San Francisco Bay Area, New York, and Seattle. May vary in other locations. Plus stock options
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- 8+ years of experience in analytics, strategy, operations, or data science roles, with at least 3+ years in a senior or manager capacity
- Proven ability to build and scale analytics or BI functions from the ground up in a high-growth environment
- Strong expertise in building capacity and supply-demand models, ideally in marketplace, services, or workforce businesses
- Advanced proficiency in SQL and analytics tooling; comfort with data pipelines, dashboards, and BI platforms
- Excellent problem-solving and strategic thinking skills; ability to translate ambiguous questions into structured analysis and clear recommendations
- Strong communicator and cross-functional partner; able to influence at all levels of the org
- Experience leading teams (formally or informally) and enthusiasm for growing into a people leadership role
- Bonus: Exposure to contributor/contractor ecosystems, marketplaces, or data/AI businesses
What the job involves
- We are hiring our first analytics leader to join Snorkel’s rapidly scaling Data-as-a-Service (DaaS) organization
- As a founding member of the analytics function, you will own the frameworks, infrastructure, and insights that guide how we scale our expert contributor ecosystem and optimize the DaaS business
- This is not a typical analyst role—it’s a founding opportunity to define and grow analytics for one of the fastest-scaling parts of Snorkel
- You’ll have the autonomy to shape the function, deep ownership over business-critical models and metrics, and a direct seat at the table influencing strategy and execution across the DaaS org
- This is a high-impact, senior role: you’ll not only drive hands-on analysis and modeling but also set the blueprint for how analytics will operate at Snorkel
- You’ll work directly with leadership to answer the most critical business questions, influence strategy, and eventually grow and lead the analytics team as business needs expand
- Found the Analytics Function: Build the strategy, processes, and tools for analytics within the DaaS org, creating the foundation for a function that will scale with the business
- Own Capacity & Supply Modeling: Develop and maintain models that balance demand for expert contributors with available supply, helping drive forecasting, staffing, and resource allocation
- Drive Data Infrastructure & BI: Partner with Ops, Eng, and Product to establish reliable pipelines and dashboards to monitor data health, contributor quality, and operational metrics
- Analyze & Optimize Contributor Experience: Own the measurement framework for the expert contributor journey—including conversion funnels, retention, and quality metrics—to surface opportunities for growth and efficiency
- Guide Business Decision-Making: Partner with the GM and DaaS leadership to provide actionable insights on GTM, delivery operations, and supply/growth trade-offs
- Scale the Team: Over time, recruit, mentor, and lead a team of analysts and data scientists as new needs are identified, defining the culture and operating model of Analytics at Snorkel
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. As of 2023, this customer base has tripled in size since Snorkel AI's founding and in 2024, enjoyed a new round of funding. With these promising developments, the company continues to innovate the sector.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
May 2025
$100m
SERIES D
Aug 2021
$85m
SERIES C
Total funding: $235m
Company benefits
- Home office allowance
- Yearly wellness stipend
- Healthy meals, snacks & drinks in office
- 401k with a 100% match up to 5% of annual salary
- Regular team events
- Generous paid parental leave
- Work from home opportunities
- Health insurance
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.
Paroma Varma
(Co-founder)They hold a PhD from Stanford and was VP of Corporate Relations at the Society of Women Engineers. They have collaborated with teams at Facebook and Intel.
Braden Hancock
(Co-founder & Head of Technology)They have a PhD in Computer Science from Stanford, and worked as a Research Assistant with the Air Force and MIT. They were also a Software Engineer at Google, and a Researcher at Facebook.
Henry Ehrenberg
(Co-Founder)They studied at Yale and Stanford and worked at Facebook as a Quantitative Engineering Intern and a Senior Applied Research Scientist.
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