--- title: 'Data Science & Analytics Manager at Clay Labs' canonical: 'https://feeny.ai/job/data-science-analytics-manager-clay-labs-new-york-2rbhz07mxk6c' type: 'job' last_seen: '2026-09-04' --- # Data Science & Analytics Manager at Clay Labs - **Company:** [Clay Labs](https://feeny.ai/companies/clay-labs) - **Location:** New York, NY - **Compensation:** $240k–$300k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-20 - **Last confirmed live:** 2026-09-04 - **Apply:** https://jobs.ashbyhq.com/claylabs/fe6c6fa6-67e0-40e7-bf2c-496134f983d3 ## Job description ## 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 https://clayrun.notion.site/Wall-of-Love-b243f2b67607438b9fad99341e6b8d47 — including Anthropic, Notion, Google, and Ramp — go to market with unique data, signals, and AI research. In 2025, we raised a $100M Series C https://www.nytimes.com/2025/08/05/business/dealbook/clay-ai-marketing-fundraise.htmlbacked by world-class investors including Sequoia, CapitalG, and First Round — and crossed $100M in revenue. In 2026, we announced our second employee tender offer https://www.nytimes.com/2026/01/28/business/dealbook/clay-start-up-tender-offers.html in 9 months at a new $5B valuation. We also launched a community equity round https://www.clay.com/blog/community-equity-offering, for our customers, agency partners, and club members. Some things to know about us: - Our community http://community.clay.com includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs https://luma.com/claylive, and 30k members on Slack. - Our culture https://nextplayso.substack.com/p/spotlight-clay 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 https://cdn.prod.website-files.com/61477f2c24a826836f969afe/685d83a71452245cc1129791_4d770abfd83e276ec15315a2e06945bd_Clay2025_OperatingPrinciples.pdf. - Read about us in the NYT https://www.nytimes.com/2025/08/05/business/dealbook/clay-ai-marketing-fundraise.html, Forbes http://google.com/search?q=forbes+clay&rlz=1C5OZZY_enUS1155US1155&oq=forbes+clay&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQABiABDIHCAIQABiABDIHCAMQABiABDIHCAQQABiABDIHCAUQABiABDIHCAYQABiABDIHCAcQABiABDIHCAgQABiABDIHCAkQABiABNIBBzkzM2owajSoAgOwAgHxBVAe8UAxJx_p&sourceid=chrome&ie=UTF-8, First Round Review https://review.firstround.com/podcast/inside-clays-unconventional-path-to-1-25b/, and more https://www.clay.com/press. Hear from our employees directly on our Glassdoor https://www.glassdoor.com/Overview/Working-at-Clay-EI_IE9850794.11,15.htm 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! ## About Clay Labs ## Company Overview - **One-liner**: Clay is a creative go-to-market (GTM) platform that helps teams build automated systems to grow revenue by combining data enrichment, AI agents, and workflow orchestration. - **Entity Type**: Private (Series C expansion at $3.1B valuation, tender offer at $5B) - **Headquarters**: New York, New York, United States - **Founded**: 2017 - **Founders**: Not publicly disclosed in available sources ## Core Business - **Primary industry**: Go-to-market (GTM) software / Sales & Marketing technology - **Target customers**: B2B GTM teams of all sizes – from solo operators to enterprise sales, marketing, and revenue teams - **Mission**: Help people grow businesses by providing the best data foundation possible to reach their best-fit customers ## Products & Services - **Data Marketplace**: Access to 200+ data and AI vendors in one contract – enabling teams to buy, enrich, and combine first-party, intent, and third-party data. - **Agents**: Create AI agents that mimic top sales representatives to automate research, prep, and follow-ups. - **Orchestration**: Build multi-step workflows that connect GTM tools (CRM, email, ads) and trigger actions based on real-time signals. - **Automated Outbound**: Programmatically generate 1:1 messaging, launch new plays in days, and scale outbound campaigns. - **Lead Scoring & Routing**: Enrich, score, and route every lead to the right rep in minutes. - **Pre‑Call Prep Agent**: Researches prospect bios, earnings reports, and company changes to fully automate pre‑call prep. ## Market Standing - **Valuation**: $5B (via employee tender offer, January 2026); previous Series C at $3.1B (2025) - **Key Metric**: Annual revenue of $35.5M; total funding $202M - **Notable Investors**: Sequoia Capital, CapitalG, First Round Capital, Meritech Capital Partners - **Growth Signals**: - Headcount of 792 employees (+74.6% YoY) - 500,000+ GTM teams trust Clay - Named #1 mid-stage company on the ENT30 list - Only GTM company on Forbes’ 2025 AI 50 List - Customer case studies: Anthropic 3× enrichment rate, OpenAI automated pre‑call prep, Intercom grew outbound pipeline 140%, Vanta cut follow‑up time from 3 days to <1, Mistral AI cut TAM mapping from 2 months to 10 days - Active job postings grew 763% YoY; operates in 47 countries ## Competitive Advantages - **Unique combination of data marketplace + AI agents + workflow automation** in a single platform – reduces the need for multiple tools and manual coordination. - “A single person can run growth campaigns that previously required coordinating the entire GTM team.” - **Massive data marketplace** (200+ vendors) with one contract simplifies data procurement. - **Network effects** – 500,000+ users contribute to a growing community of GTM engineers. ## Strategic Focus - Deepen AI capabilities in agentic workflows for GTM - Expand the data marketplace with more vendors and intent signals - Continue scaling globally (already in 47 countries) and hiring aggressively (164 open roles) - Build out ecosystem partnerships and enable customers to become “GTM engineers” ## Why Work Here - **Culture**: Kindness, creativity, “quiet ego”, and a focus on helping each other grow. Values like “Make it work, then make it great” and “Negative maintenance” (improve a little every day). - **Work model**: Flexible in‑person culture – office in Chelsea, NYC, with daily team lunches and DJ Fridays. Hybrid flexibility offered; remote roles available. - **Benefits**: Competitive salary, fully funded health/dental/vision, 4 months paid parental leave, IVF and egg freezing benefits, flexible PTO, yearly company retreats, visa sponsorship. - **Engineering**: Emphasis on craft, attention to detail, and deep enjoyment of the building process. Engineers work on AI, data infrastructure, and scalable systems. - **Interview process**: Typically 3–5 interviews (behavioral + technical) plus a founders interview; practical exercises and reference checks. ## Sources 1. [Clay.com – Careers](https://www.clay.com/careers) 2. [Clay.com – About](https://www.clay.com/about) 3. [Clay.com – Main Site](https://www.clay.com/) 4. 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