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
The AI data research lab
Job no longer available
The AI data research lab
501-1000 employees
Job no longer available
$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
501-1000 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. 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
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.
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