Why This Role Stands Out
As a Software Engineer at Claylabs, you'll drive growth for a leading AI company revolutionizing how businesses scale, with opportunities for significant career advancement. This hybrid role is perfect for mid-senior engineers eager to build impactful solutions and contribute to a rapidly growing, reputable organization. Apply to join a dynamic team and shape the future of AI-powered growth!
Quick Overview
Job Description
About Clay
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!
Software Engineering in GTM Ops @ Clay
We're looking for software engineers who enjoy solving operational problems with product thinking. As a Software Engineer on GTM Engineering, you'll partner directly with Sales, Marketing, and Customer Success to understand how work happens, and then build software that fundamentally improves it. You'll move quickly from idea to production, shipping internal products that have an immediate impact across the company. Whether you're building AI agents, workflow automation, developer platforms, or entirely new internal applications, your work will shape how Clay grows. This role is ideal for engineers who enjoy wearing multiple hats, working closely with users, and building products that create leverage across an organization.
What You'll Do
Build internal products that accelerate Clay's go-to-market teams
Own projects end-to-end: from discovery and prototyping through production and long-term ownership
Partner directly with GTM teams to identify high-leverage opportunities
Build AI-native workflows using Clay, LLMs, and modern automation frameworks
Design integrations across Clay, Salesforce, Snowflake, Slack,internal APIs, and other business systems
Create tooling and platforms that enable rapid experimentation across the business
Help define what modern GTM Engineering looks like as AI transforms go-to-market
What You'll Bring
Have 4+ years of experience building production software
Are fluent in TypeScript or Python and comfortable working across the full stack
Have experience building internal tools, workflow automation, developer platforms, or customer-facing products
Have built AI-powered applications using LLMs and modern AI tooling
Enjoy working directly with end users and rapidly iterating based on feedback
Think like a product builder, not just an implementer
Take ownership, move quickly, and bias toward shipping
Are excited by ambiguity and thrive in fast-moving startup environments
Bonus Points If You Have Experience With:
Revenue Operations or GTM systems
Salesforce, HubSpot, Snowflake, dbt, or modern data platforms
Workflow orchestration tools and APIs
Startup experience as an early engineer or founder
Building AI agents or autonomous workflow systems
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