Analytics Lead, Snorkel AI
$160-240k
+ Equity
1+ day a week in office (Redwood City, CA )
The AI data research lab
Be an early applicant
The AI data research lab
501-1000 employees
Be an early applicant
$160-240k
+ Equity
1+ day a week in office (Redwood City, CA )
501-1000 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- 5+ years in data roles spanning analytics engineering, analytics, and data science, with comfort owning and moving between these types of work over the course of a project
- SQL fluency, strong Python skills, familiarity with the modern data stack (e.g. Fivetran, dbt), and hands-on Snowflake or comparable cloud warehouse experience
- High-autonomy IC track record: you don't need a team to get high-impact work done
- Hands-on experience with modern AI tooling: LLMs, semantic layers, eval frameworks, and the infrastructure work required to put these into production
- Experience identifying high-leverage opportunities in startups without a fully defined analytics agenda and comfort in going from 0-to-1 in high-growth environments
- Genuine enjoyment of stakeholder partnership: you value co-defining problems and sharing findings with business and tech leads, rather than seeing it as a distraction
- Bonus points for: Streamlit and/or Snowflake Cortex experience, familiarity with AI/data labeling, DaaS, or marketplace business models, experience building semantic layers or BI infrastructure, and A/B testing in marketplace or workforce platform contexts
What the job involves
- Our Data & Analytics Platform team has migrated from Redshift to Snowflake, enabled 100+ users, and centralized all business data in under three months
- We're a lean team with a clear remit: ensure a single source of truth for all business data
- With Snowflake now adopted across the company, we're hiring an Analytics Lead to selectively expand this mandate to AI-first analytics and our highest-leverage data and analytics problems
- This is a senior individual contributor role
- You'll operate across three modes: pioneer (stand up net new analytics capabilities), special forces (identify and own the toughest, most critical-path data problems), and strategist (build a taxonomy, domain ontology, semantic layer, and other foundations that compound)
- No direct reports. Just real ownership, autonomy, and impact. About 30% of this role is stakeholder-facing
- The teams you’ll partner with often run on Airtable or spreadsheets today
- You'll meet them where they are, know when to go deep versus ship a stopgap, and build things they’ll actually rely on
- If the boundary between technical rigor and pragmatic delivery is where you do your best work, this role is built for you
- Own and build out our AI-first analytics infrastructure end-to-end: semantic layer, LLM tooling, evals, and agents that analytically empower every team in the company
- Maintain this AI-first analytics infrastructure so it doesn’t decay as the business grows
- Define and implement the taxonomy and domain ontology to match Expert Contributors to projects and tasks at scale. This is foundational to our marketplace business model
- Architect a demand and supply model that gives leadership a shared, forward-looking view of where we're exposed and where to invest across domains, geographies, and acquisition channels
- Identify the next highest-leverage opportunities where the Data Team can address a business-limiting constraint and help prioritize them
- Be a trusted thought partner on data architecture, taxonomy, and analytics approach for operators, engineers, and executives across 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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