What are the responsibilities and job description for the Data Science & Analytics Manager position at Clay Labs?
About Clay
Our mission is to help organizations turn any growth idea into reality.
We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers - including Anthropic, Notion, Google, and Ramp - go to market with unique data, signals, and AI research.
In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round - and crossed $100M in revenue.
In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.
Some things to know about us:
Hear from our employees directly on our Glassdoor page!
The Role
We're looking for a Data Science Manager to lead Clay's Data Science and Analytics team (DSA). DSA is a team of data scientists and analytics engineers that serves as the company's center of excellence for experimentation, metric design, insights, and data-driven decision-making across all areas of the business (Product, Marketing, Sales, Finance, and Partnerships). The manager of this team will be a key leader in setting product and business strategy: partnering with executives to meet ideas with numbers and set the internal narrative and focus using data.
The team has strong foundations and is at the forefront of AI for data: we've basically solved the self-serve analytics problem via our custom in-house AI agent "Monty." We're looking for a strong leader with strong data intuition, product and business acumen, and data storytelling skills who can multiply this team's strategic influence on one of the fastest-growing AI businesses.
What you'll do
Lead and grow the team. Manage and develop data scientists and analytics engineers. Recruit, interview, and onboard top talent as the team scales. Create shared standards for what great data work looks like, and coach the team to get there. Establish rituals that build team cohesion and support technical growth.
Set the technical bar. Hold high standards for experimentation, analysis, insights, metric design, and data modeling. Ensure that Clay remains at the forefront of the latest innovations in AI for data science and analytics.
Relentlessly focus on impact. Ensure the team is making the right tradeoffs. Keep the team focused on work that actually changes decisions and meaningfully impacts the business trajectory of Clay, and leave the rest.
Strategically partner and prioritize across the business. Own staffing across partner areas to ensure every key stakeholder has the support they need, while holding a high bar for impact and pushing back where needed. Ensure partners are making data-informed decisions, and that they have the tooling, insights, and partnership they need to do so.
Shape product and business strategy. Directly inform what we prioritize using data; opportunity size new potential areas for investment and proactively identify potential new directions through analysis and insights. Set the narrative internally using numbers.
Define our key measurement frameworks. Partner with stakeholders to define our business and product goals. Lead the development and championing of key metrics; ensure our most important metrics are properly instrumented and monitored. Create a data-obsessed organization.
Develop a deep understanding of and empathy for our users. Partner with UXR and customer feedback teams to create the most comprehensive understanding of what Clay users, buyers, and prospects want and need.
What we're looking for
2 years managing data scientists and/or analytics engineers, and 6 years overall in data science or analytics, with a track record of shipping work that has directly influenced product and business decisions
Strong technical depth in experimentation, analytics, statistics, data modeling, and metric design; can coach and set a high technical bar for senior ICs
Expertise in product or growth data science: an expert-level understanding of user funnels (acquisition, activation, engagement, retention) in B2B or B2C products
Skilled at stakeholder management: comfortable partnering with senior leaders across Product, GTM, and Finance, and pushing back when needed
Proven experience influencing product roadmaps via data and insights, and the proven ability to connect data work to business outcomes
Excellent data storytelling skills
An empathetic communicator who expresses nuanced ideas clearly for different audiences and prioritizes curiosity and partnership
Experience growing teams: hiring, coaching, and developing senior ICs
Excitement about AI-native ways of working
Nice to have
Experience with our stack: Snowflake, GitHub, dbt, Hex, Sigma, Dagster
Experience in product-led growth or B2B SaaS, especially usage-based pricing
Experience running embedded/hub-and-spoke data team models
Experience scaling a data team through rapid company growth
Experience working on AI products
Why Clay
Data is at the heart of what we do at Clay. We are building a self-learning revenue engine; we need data leadership to understand how that engine is operating internally and for our customers. We are building a team of strategic leaders and trusted truth-tellers: come lead it!
Our mission is to help organizations turn any growth idea into reality.
We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers - including Anthropic, Notion, Google, and Ramp - go to market with unique data, signals, and AI research.
In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round - and crossed $100M in revenue.
In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.
Some things to know about us:
- Our community includes 11,000 customers, 150 integration partners, 125 agencies, 50 Clay clubs, and 30k members on Slack.
- Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
- All employees can work for free with world-class coaches who specialize in creativity, management, and more.
- Our operating principles - including negative maintenance and non-attached action - guide our work. Read more about them here.
- Read about us in the NYT, Forbes, First Round Review, and more.
Hear from our employees directly on our Glassdoor page!
The Role
We're looking for a Data Science Manager to lead Clay's Data Science and Analytics team (DSA). DSA is a team of data scientists and analytics engineers that serves as the company's center of excellence for experimentation, metric design, insights, and data-driven decision-making across all areas of the business (Product, Marketing, Sales, Finance, and Partnerships). The manager of this team will be a key leader in setting product and business strategy: partnering with executives to meet ideas with numbers and set the internal narrative and focus using data.
The team has strong foundations and is at the forefront of AI for data: we've basically solved the self-serve analytics problem via our custom in-house AI agent "Monty." We're looking for a strong leader with strong data intuition, product and business acumen, and data storytelling skills who can multiply this team's strategic influence on one of the fastest-growing AI businesses.
What you'll do
Lead and grow the team. Manage and develop data scientists and analytics engineers. Recruit, interview, and onboard top talent as the team scales. Create shared standards for what great data work looks like, and coach the team to get there. Establish rituals that build team cohesion and support technical growth.
Set the technical bar. Hold high standards for experimentation, analysis, insights, metric design, and data modeling. Ensure that Clay remains at the forefront of the latest innovations in AI for data science and analytics.
Relentlessly focus on impact. Ensure the team is making the right tradeoffs. Keep the team focused on work that actually changes decisions and meaningfully impacts the business trajectory of Clay, and leave the rest.
Strategically partner and prioritize across the business. Own staffing across partner areas to ensure every key stakeholder has the support they need, while holding a high bar for impact and pushing back where needed. Ensure partners are making data-informed decisions, and that they have the tooling, insights, and partnership they need to do so.
Shape product and business strategy. Directly inform what we prioritize using data; opportunity size new potential areas for investment and proactively identify potential new directions through analysis and insights. Set the narrative internally using numbers.
Define our key measurement frameworks. Partner with stakeholders to define our business and product goals. Lead the development and championing of key metrics; ensure our most important metrics are properly instrumented and monitored. Create a data-obsessed organization.
Develop a deep understanding of and empathy for our users. Partner with UXR and customer feedback teams to create the most comprehensive understanding of what Clay users, buyers, and prospects want and need.
What we're looking for
2 years managing data scientists and/or analytics engineers, and 6 years overall in data science or analytics, with a track record of shipping work that has directly influenced product and business decisions
Strong technical depth in experimentation, analytics, statistics, data modeling, and metric design; can coach and set a high technical bar for senior ICs
Expertise in product or growth data science: an expert-level understanding of user funnels (acquisition, activation, engagement, retention) in B2B or B2C products
Skilled at stakeholder management: comfortable partnering with senior leaders across Product, GTM, and Finance, and pushing back when needed
Proven experience influencing product roadmaps via data and insights, and the proven ability to connect data work to business outcomes
Excellent data storytelling skills
An empathetic communicator who expresses nuanced ideas clearly for different audiences and prioritizes curiosity and partnership
Experience growing teams: hiring, coaching, and developing senior ICs
Excitement about AI-native ways of working
Nice to have
Experience with our stack: Snowflake, GitHub, dbt, Hex, Sigma, Dagster
Experience in product-led growth or B2B SaaS, especially usage-based pricing
Experience running embedded/hub-and-spoke data team models
Experience scaling a data team through rapid company growth
Experience working on AI products
Why Clay
Data is at the heart of what we do at Clay. We are building a self-learning revenue engine; we need data leadership to understand how that engine is operating internally and for our customers. We are building a team of strategic leaders and trusted truth-tellers: come lead it!
Salary : $5