About the Role

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.

What You'll Do

• 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.

What You'll Bring

• 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

Pay Transparency Notice: Depending on your work location in the United States, the target annual salary for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)).

The salary range for this position based off of tier 1 locations such as San Francisco Bay Area, New York, Seattle and is $160,000-$240,000 All offers include equity compensation in the form of employee stock option