GTME Manager, Seller Efficiency @ ClayWe're excited for our Manager, GTM Engineering - Seller Efficiency to build and lead the team that makes our sales team faster, smarter, and more effective. You'll manage a team of GTM Engineers while staying technical-writing code on the hardest problems, setting direction, and making sure every automation we ship measurably improves how we sell. You'll partner closely with our Head of Sales to translate messy business problems into elegant technical solutions, and you'll develop engineers who think like builders, not ticket-takers.
What You'll Do- Build the automations that matter: own core sales workflow systems like book carving, ROE automation, signal detection, and pipeline intelligence-staying 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 don't 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 engineer's 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 You'll Bring- 8+ years building revenue systems: deep experience in RevOps, GTM Engineering, sales systems engineering, or similar applied technical work-you've personally written the code, not just managed vendors
- You're 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
- You've 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 don't know yet!"
- You thrive in the chaos: proven ability to operate effectively in ambiguous, fluid, hypergrowth environments-you don't 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 125+ people
