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Clay

Combines many data sources with AI for sales teams

GTM Engineering Manager - Seller Efficiency

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$240k - $265k /yrHybrid

About the Job

Requirements

  • At least 8 years of experience building revenue systems in RevOps, GTM Engineering, sales systems engineering, or similar applied technical work, including personally writing code.
  • Proficiency in at least one of Python, JavaScript, SQL, or TypeScript, with the ability to review pull requests, debug production issues, and work in the codebase.
  • Experience deploying AI-powered internal tools, automations, or agentic workflows at scale, with understanding of data warehouses, business intelligence tools, extract-transform-load and reverse extract-transform-load systems, and event-driven architectures.
  • At least 3 years of experience managing technical teams in hypergrowth, including hiring and developing technical talent, building team culture, establishing operational excellence, and driving accountability.
  • Ability to prioritize and sequence work for business impact, decline low-leverage requests, and keep stakeholders informed.
  • Ability to communicate with non-technical go-to-market leaders, translate business requirements into clear technical direction, and communicate uncertainty clearly.
  • Ability to operate effectively in ambiguous, fluid, hypergrowth environments and create systems that enable change.

Responsibilities

  • Build and own core sales workflow systems, including book carving, rules-of-engagement automation, signal detection, and pipeline intelligence, while handling the hardest technical problems and highest-leverage projects.
  • Use Clay’s features, extend its platform into new use cases, bring field-informed ideas to the product team, and serve as a practitioner-evangelist for Clay infrastructure and go-to-market engineering.
  • Partner with the Head of Sales and sales leaders to identify breakdowns in the sales motion, translate requirements into technical roadmaps, and decline projects that do not advance business goals.
  • Build intake and prioritization frameworks that create transparency, align ad hoc requests with strategy, and focus the team on impact.
  • Hire, manage, mentor, and grow a team of 3–5 go-to-market engineers, developing them into strategic problem-solvers who own outcomes.
  • Establish standards for code quality, documentation, observability, and system governance, and create growth paths aligned with engineers’ strengths.
  • Design tooling that surfaces relevant context before quarterly business reviews, during renewals, and ahead of expansions; connect systems through APIs, webhooks, and automation to support clean data flows.
  • Track the performance, adoption, and business impact of systems and iterate based on feedback.
  • Advise internally on the future of AI-native go-to-market and contribute technical depth and commercial judgment to strategic conversations.
  • Build a high-performing and supportive team.

Desired Qualifications

  • Experience building in Clay as a primary workflow or enrichment layer; candidates without Clay experience are expected to demonstrate increasing proficiency during the interview process.
  • Background in analytics engineering, data science, or full-stack software engineering.
  • Experience scaling a go-to-market engineering function from zero to one or from one to more than five people.

About the Company

Clay

Combines many data sources with AI for sales teams

Clay builds software that sales and marketing teams use to find and contact likely customers, with data from many outside providers and AI agents in one workspace. It coined the job title GTM engineer in 2023 for people who build automated systems to find and win customers, and the role has since spread across tech companies. Users fill spreadsheet-like tables of companies and people with contact details and company facts from data vendors, while its AI agent Claygent researches each account on the web. The results feed email campaigns, ads, and customer databases, and companies pay for plans that include credits for data and for automated actions. Clay was founded in 2017 and is based in New York City.

Company size
201-500
Company stage
Series D
Total funding
$317M
Headquarters
New York City, New York
Founded
2017

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