GTM Engineer - Seller Efficiency

claylabs; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Claylabs, located in New York, is seeking a candidate with strong technical expertise to enhance our sales workflows. You will be responsible for designing and building automation systems that facilitate new customer acquisition and successful customer journeys.

The ideal candidate has between 6 to 10 years of experience in RevOps or a related field and should possess proficiency in technologies such as Python and JavaScript. This role demands close collaboration with sales leadership and a commitment to driving projects from inception to rollout.

Qualifications

• 6-10 years in RevOps or a similar technical field.
• 3+ years in RevOps/Sales Ops or GTM Engineering.
• Experience with sales tooling and building core systems.

Responsibilities

• Build sales workflow automations including pipeline automation.
• Partner with sales leadership to refine business needs.
• Design systems that enhance data quality and execution.

Skills

RevOps experience

GTM Engineering

Python

JavaScript

SQL

TypeScript

Salesforce

AI tools

Data Warehouses

Job description

We're looking for someone to focus on elevating our core sale workflows; building automations and AI-systems that help us acquire new customers and kickoff successful customer journeys. Strong candidates will be builders who with a strong understanding of modern selling motions. You will operate with high agency but ground yourself in what your stakeholders need to be successful.

What You’ll Do

• Build and own core sales workflow automations like book carving, ROE automation, signal detection, pipeline automation and more
• Partner closely with our Head of Sales and sales leadership to translate business needs into automation requirements and iterate based on feedback
• Build tooling that surfaces the right customer context for GSMs at the right moment; before QBRs, during renewals, and ahead of expansion conversations
• Push the limits of Clay and extend our platform into new use cases, feed our product team innovative ideas, dogfood new features and ; act as a practitioner evangelist of Clay infrastructure and GTM Engineering
• Partner deeply with GTM leaders and frontline teams to understand how our revenue motion works today and where it breaks
• Own projects end-to-end, from discovery and prototyping through rollout, adoption, and iteration; identify opportunities to automate, augment, or redesign workflows using AI, data, and better systems design
• Design systems that improve speed, visibility, data quality, and execution across the funnel; connect systems through APIs, webhooks, integrations, and automation layers so information moves cleanly across the stack
• Measure performance, adoption, and business impact of what you build, then improve it over time
• Act as an internal thought partner on the future of AI-native GTM systems

What You’ll Bring

• At least 6-10 years working in a combination of RevOps, GTM Engineering or other similar applied technical discipline with
• At least 3 years in RevOps/Sales Ops or GTM Engineering or equivalent
• Experience building, developing or connecting core systems like Salesforce and adjacent GTM systems including hands on experience with sales tooling
• Proven ability to build and problem solve with methods incorporating Python, JavaScript, SQL, or TypeScript; we pull our own data on this team
• Track record of deploying and building AI-powered internal tools, automations, or agentic workflows
• Experience using data warehouses, BI tools, or event-driven systems
• Executive presence -- you communicate concisely and confidently even about technical topics with non technical people while simultaneously communicating business requirements to technical audiences
• Proven ability to operate effectively in ambiguous and fluid hypergrowth environments -- you not only embrace change bur drive it
• Experience building in Clay as a primary workflow or enrichment layer is not required but is highly preferred (successful candidates with no experience in Clay will show increasing proficiency throughout the interview process)
• Bonus points for experience in analytics engineering, data science and /or programming languages