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GTM Engineer Manager Seller Efficiency

Clay Labs


Job Location:

New York City, NY - USA

Yearly Salary: USD 240000 - 265000
Posted: 3 September 2026 (20 days ago)
Application Deadline: 9 December 2026
Vacancies: 1 Vacancy

Job Summary

About Clay

AI is unleashing the biggest wave of company creation in history. Clays 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 were building agents that can help grow your company for you. Were 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:

Hear from our employees directly on our Glassdoor page!

GTME Manager Seller Efficiency @ Clay

Were excited for our Manager GTM Engineering - Seller Efficiency to build and lead the team that makes our sales team faster smarter and more effective. Youll manage a team of GTM Engineers while staying technicalwriting code on the hardest problems setting direction and making sure every automation we ship measurably improves how we sell. Youll partner closely with our Head of Sales to translate messy business problems into elegant technical solutions and youll develop engineers who think like builders not ticket-takers.

What Youll Do
  • Build the automations that matter: own core sales workflow systems like book carving ROE automation signal detection and pipeline intelligencestaying hands-on with the hardest technical problems and highest-leverage projects

  • Push Clay to its limits: dogfood new features extend our platform into new use cases feed our product team ideas from the field and act as a practitioner-evangelist of Clay infrastructure and GTM Engineering

  • Partner with sales leadership: sit with our Head of Sales and sales leaders to understand where the motion breaks translate fuzzy requirements into crisp technical roadmaps and confidently say no to projects that dont move the needle

  • Manage the work not just the people: build intake and prioritization frameworks that create transparency align ad-hoc requests to strategy and keep your team focused on impact over activity

  • Develop engineers who think like builders: hire manage and grow a team of 3-5 GTM Engineers; mentor them from ticket-takers to strategic problem-solvers who own outcomes not tasks

  • Establish engineering excellence: set the bar for code quality documentation observability and system governance; create growth paths aligned with each engineers strengths

  • Ship systems that scale: design tooling that surfaces the right context at the right moment (before QBRs during renewals ahead of expansions); connect systems through APIs webhooks and automation so data flows cleanly

  • Measure what matters: track performance adoption and business impact of everything you build then iterate ruthlessly based on feedback

  • Shape the future of AI-native GTM: act as an internal thought partner on where revenue systems are headed; bring both technical depth and commercial judgment to strategic conversations

  • Build a high-performing and supportive team the clay way

What Youll Bring
  • 8 years building revenue systems: deep experience in RevOps GTM Engineering sales systems engineering or similar applied technical workyouve personally written the code not just managed vendors

  • Youre technical enough to lead: strong proficiency in Python JavaScript SQL or TypeScript; you can review pull requests debug production issues and jump into the codebase when the problem demands it

  • Youve shipped AI-powered systems: track record of deploying AI-powered internal tools automations or agentic workflows at scale; you understand data warehouses BI tools ETL/reverse ETL systems and event-driven architectures

  • 3 years managing technical teams in hypergrowth: proven ability to hire and develop strong technical talent; your former reports have grown into senior IC or leadership roles; you build team culture establish operational excellence and drive accountability without micromanaging

  • You know how to say no: exceptional prioritization skills; you sequence work for maximum business impact and confidently decline low-leverage requests while keeping stakeholders informed

  • Executive (but still grounded) presence: you communicate concisely and confidently with non-technical GTM leaders translate business requirements into clear technical direction and are comfortable saying I dont know yet!

  • You thrive in the chaos: proven ability to operate effectively in ambiguous fluid hypergrowth environmentsyou dont just embrace change you create the systems that enable it

  • Bonus: experience building in Clay as a primary workflow or enrichment layer (successful candidates with no Clay experience will show increasing proficiency throughout the interview process); background in analytics engineering data science or full-stack software engineering; experience scaling a GTM Engineering function from 01 or 15 people


Required Experience:

Manager


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Implement your creative growth ideas to build pipeline for your sales team. First, maximize your data coverage with 75+ enrichment tools and our AI agent. Then, use AI to craft the perfect outreach.

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