Senior Analytics Lead

💰 $155k-$255k
🇺🇸 United States - Remote
📊 Data🟣 Senior

Job description

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

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.

What You’ll Do

  • 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.

Qualifications

  • 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.

Pay Transparency Notice: Depending on your work location, 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 $155,000-$255,000 All offers include equity compensation in the form of employee stock options.

Salary Range

$155,000—$255,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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