AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential.
Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research.
In 2026, we raised a $115M Series D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education.
Some things to know about us:
Our community includes 17,000+ customers, 200+ 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 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!
We’re looking for a Marketing Analyst to be the connective tissue between data models, insight and strategy. In this role, you’ll own the reporting, metrics, and insights that drive clarity on how our marketing efforts are performing. You’ll work in a pod with marketing / sales leadership, analytics engineering, GTM Engineering and strategic finance. You’ll surface deep insights, work with our data teams to build dbt models, and obsesses over what makes Clay’s marketing efforts successful.
Own the health of the top-of-funnel "assembly line": monitor lead flow end-to-end, identify where leads are leaking, stalling, or being misrouted, and drive tactical fixes with GTM Engineering and marketing.
Diagnose gaps between intended and actual funnel behavior — campaigns not triggering expected follow-up, routing rules dropping leads, conversion stages behaving off-plan — and quantify the impact of each fix.
Build operational reporting and monitoring (alerts, anomaly detection, funnel diagnostics) that drives day-to-day and week-to-week action, surfacing performance insights for leadership.
Ensure that data models, metric definitions, and funnel stage logic accurately reflect how the business actually operates, partnering with Analytics Engineering to close gaps.
Serve as the connective layer between systems builders (GTM Engineering) and data model owners (Analytics Engineering), translating operational findings into pipeline and model improvements.
Feed ground-truth funnel data and channel diagnostics into the attribution and goaling work led by Strategic Finance and GTM leadership.
Provide actionable insights into campaign and channel performance to influence in-flight decisions, not just quarterly strategy reviews.
5+ years of analytics experience, with 3+ years in marketing analytics at a high growth SAAS company
Proven ability to translate data into actions that drive business impact.
Highly proficient in SQL is non negotiable (ideally python too); experience working with large, complex data sets.
Deep understanding of the marketing funnel, from acquisition to retention.
Track record of working cross-functionally with marketing, sales, ops, and analytics engineering teams.
Curiosity and persistence in solving complex problems; adaptability when findings evolve.
Proficiency in BI tooling (Streamlit, Hex, Sigma preferred) with ability to build and own dashboards with compelling visualization
You are AI forward: you can vibe code applications to supplement core tooling, you achieve personal ROI from CLI and agents
Strongly preferred: experience building in Clay
Analyze integrated media channel performance, design experiments and automated reporting, and translate data into insights that guide marketing investment decisions while coaching analysts and advising stakeholders.
Own data-driven SEA bidding optimization by modeling performance, running API-instrumented experiments, automating campaign workflows, and building insights that guide investment across marketing, data science, pricing, and engineering.
Analyze integrated media channel performance and experimentation to guide marketing investment decisions, build automated reporting and visualization solutions, and communicate actionable insights to stakeholders and leadership.
Own paid marketing analytics end to end, building data models and attribution reporting while turning campaign performance into executive-ready recommendations that guide spend, pricing, product, and revenue decisions.
Own MarTech tracking architecture and growth measurement, using web and app analytics, attribution, SQL, and BI to improve signal quality, evaluate acquisition performance, and guide growth decisions.
