C

Clay

Combines many data sources with AI for sales teams

GTM Engineer - Marketing

Sales OperationsConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$150k - $220k /yrHybrid

About the Job

Requirements

  • At least 6–10 years of experience in a combination of Marketing Operations, Revenue Operations, GTM Engineering, or a similar applied technical discipline.
  • At least 3 years of experience in Marketing Operations, Demand Generation Operations, GTM Engineering, or equivalent.
  • Experience building, developing, or connecting core systems such as Salesforce and adjacent go-to-market systems, including hands-on experience with marketing automation and inbound tooling such as HubSpot, Marketo, Customer.io, or Braze, and intent or enrichment layers such as 6sense, Demandbase, Clearbit, or Common Room.
  • Fluency in marketing-funnel mechanics, including lead lifecycle design, scoring models, routing logic, attribution, deliverability, database health, and funnel conversion and velocity metrics.
  • Ability to build and solve problems using Python, JavaScript, SQL, or TypeScript.
  • Track record of deploying and building AI-powered internal tools, automations, or agentic workflows.
  • Experience using data warehouses, business intelligence tools, or event-driven systems.
  • Ability to communicate technical topics clearly and confidently to non-technical people and communicate business requirements to technical audiences.
  • Ability to operate effectively in ambiguous and fast-changing high-growth environments and drive change.

Responsibilities

  • Build and own top-of-funnel workflow automations, including lead and account scoring, intent and buying-signal detection, inbound enrichment and routing, speed-to-lead triggers, and proactive outbound plays based on marketing signals.
  • Partner with Demand Generation, Lifecycle Marketing, and Sales Development Representative leadership to translate business needs into automation requirements and iterate based on feedback.
  • Own instrumentation behind Marketing Qualified Lead definitions and the marketing funnel; build insights into conversion, lead-stall points, sources and campaigns that generate pipeline, and the effectiveness of qualification criteria.
  • Build connections between Marketing and Sales Development Representatives by leading lifecycle and handoff logic, routing and assignment rules, follow-up service-level agreements, and feedback loops about lead quality.
  • Build tooling that surfaces relevant account and prospect context for Sales Development Representatives before first contact, during inbound follow-up, and ahead of campaign and event pushes.
  • Extend Clay's platform into new use cases, provide innovative ideas to the product team, use new features, and serve as a practitioner evangelist for Clay infrastructure and GTM Engineering.
  • Partner with go-to-market leaders and frontline teams to understand the current demand motion and identify where it breaks down.
  • 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 systems design.
  • Design systems that improve speed, visibility, data quality, and execution across the funnel; connect systems through application programming interfaces, webhooks, integrations, and automation layers.
  • Measure the performance, adoption, and business impact of solutions and improve them over time.
  • Act as an internal thought partner on the future of AI-native go-to-market systems.

Desired Qualifications

  • Experience building with Clay as a primary workflow or enrichment layer is highly preferred; candidates without Clay experience should demonstrate increasing proficiency during the interview process.
  • Experience in analytics engineering, data science, or programming languages.

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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