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 a Senior Analytics Manager to partner directly with Snorkel’s Delivery organization within our rapidly scaling Data-as-a-Service (DaaS) business. Delivery is comprised of three core teams and is responsible for executing every project we run at DaaS.
This role will serve as the analytical backbone of the Delivery organization — defining how delivery performance is measured, designing the metrics that matter, and building the dashboards and analytical frameworks that give leadership clear visibility into operational health as we scale.
You will work closely with Delivery, Supply, GTM, and the Data team to ensure operational metrics are clearly defined, analytics systems are scalable, and leadership has the insights needed to manage capacity, delivery performance, and operational tradeoffs. This role is focused on translating operational complexity into structured metrics, models, dashboards, and insights that enable scalable, high-quality execution.
What You’ll Do
- Define the core operational metrics that measure delivery performance, quality, efficiency, and scalability across the DaaS business
- Design and build dashboards that clearly communicate operational performance and enable fast decision-making by Delivery leadership and all of the respective teams and pods within Delivery
- Build and maintain delivery capacity models that forecast project demand and internal staffing needs
- Partner with Delivery leadership to identify operational bottlenecks and proactively surface constraints
- Establish a clear measurement framework for Delivery, defining how we track throughput, quality, contributor performance, and operational efficiency
- Analyze trade-offs between speed, quality, cost, and staffing to guide resourcing and delivery decisions
- Collaborate closely with the Data team to ensure dashboards and analyses are built on reliable sources of truth and scalable data structures
- Partner with Supply to ensure expert contributor availability aligns with delivery needs
- Partner with GTM to model pipeline impact on delivery capacity and staffing plans
- Translate ambiguous operational questions into structured analyses and executive-ready recommendations
- Drive continuous improvement in how Delivery performance is measured, monitored, and managed
Qualifications
- 5+ years of experience in analytics, strategy, operations, or data science roles
- Strong experience building operational analytics systems for complex organizations (services, marketplaces, workforce platforms, or similar)
- Proven ability to design business metrics and analytics frameworks that power dashboards and operational decision-making
- Advanced proficiency in SQL and analytics tooling, with experience building dashboards in BI platforms
- Experience partnering closely with data teams to ensure reliable analytics systems
- Experience partnering closely with operational leaders in fast-moving environments
- Ability to translate ambiguity into structured frameworks and actionable insights
- Strong cross-functional communicator who can influence across Delivery, Supply, GTM, and Data teams
- Comfort operating in imperfect systems while building toward scalable operational rigor
Bonus: Exposure to marketplace, services, or data/AI businesses
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 $130,000-$200,000. All offers include equity compensation in the form of employee stock options.
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.