GTM Engineer

Legalist

New York (NY)

On-site

USD 110,000 - 170,000

Full time

43 hours ago
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Job summary

Legalist in New York seeks a GTM Engineer to design, build, and optimize the systems powering our outbound motion. This hands-on role requires experience running Clay-based workflows and a knack for combining data enrichment, personalization, and automation into scalable solutions.

You will integrate Clay with Salesforce/HubSpot, configure lead scoring, and monitor pipeline health, delivering robust automation while partnering with sales and marketing to translate business needs into working

Qualifications

  • 2–4 years of GTM engineering, rev ops, sales engineering, or growth engineering.
  • Hands-on experience building and maintaining workflows in Clay.
  • Experience with outbound sales tooling and data enrichment providers (e.g. Clearbit, ZoomInfo, Apollo, LinkedIn Sales Navigator).
  • Experience integrating GTM tools with a CRM (Salesforce, HubSpot) and outbound sequencing platforms.
  • Working knowledge of APIs, webhooks, and basic scripting (Python, JavaScript, or similar) to automate workflows.
  • Comfortable working with messy or unstructured data and building processes to clean and structure it.
  • Experience working with financial, legal, or other complex datasets a plus.
  • Comfortable working independently and figuring things out without a detailed set of requirements.

Responsibilities

  • Design, build, and maintain GTM automation workflows in Clay to power outbound prospecting, enrichment, and lead scoring.
  • Build data enrichment pipelines pulling from multiple sources (e.g. Clearbit, Apollo, ZoomInfo, LinkedIn Sales Navigator) to generate accurate, actionable prospect and account lists
  • Integrate Clay with our CRM (Salesforce/HubSpot) and outbound sequencing tools (e.g. Instantly, Smartlead, Outreach) to keep data and workflows in sync
  • Build and refine lead scoring and segmentation logic to prioritize the highest-value accounts and contacts
  • Automate manual GTM processes using Clay's native integrations, APIs, and webhooks, supplemented with lightweight scripting (Python/JavaScript) where needed
  • Partner closely with sales and marketing to translate business requirements into working technical systems
  • Monitor data quality, deliverability, and workflow performance, and continuously test and iterate to improve conversion rates
  • Build reporting and dashboards to track pipeline generation, campaign performance, and system health
  • Stay current on new GTM tools, enrichment providers, and automation techniques

Skills

GTM engineering
Revenue operations
Sales engineering
Growth engineering
Data-driven workflows

Tools

Clay
APIs
Webhooks
Python
JavaScript
Salesforce
HubSpot
Clearbit
ZoomInfo
Apollo
LinkedIn Sales Navigator

Job description

Intro description:

Legalist is a tech-enabled alternative asset manager that uses proprietary data-driven origination to invest in uncorrelated legal and government-payment assets. Founded out of Y Combinator in 2016, Legalist manages over $1.7 billion for endowments, foundations, and family offices.

Intro description:

Legalist is a tech-enabled alternative asset manager that uses proprietary data-driven origination to invest in uncorrelated legal and government-payment assets. Founded out of Y Combinator in 2016, Legalist manages over $1.7 billion for endowments, foundations, and family offices.

Intro description:

Legalist is a tech-enabled alternative asset manager that uses proprietary data-driven origination to invest in uncorrelated legal and government-payment assets. Founded out of Y Combinator in 2016, Legalist manages ~$2.0 billion for endowments, foundations, and family offices.

Summary

Legalist is looking for a GTM Engineer to join our team and build the systems, workflows, and automation that power our go-to-market motion. This is a hands-on, execution-focused role for someone with real experience running Clay-based workflows who enjoys combining data enrichment, personalization, and outbound automation into scalable systems. Our ideal candidate can take a sales or growth problem, figure out the technical approach, build a solution, and iterate quickly.

Responsibilities
  • Design, build, and maintain GTM automation workflows in Clay to power outbound prospecting, enrichment, and lead scoring
  • Build data enrichment pipelines pulling from multiple sources (e.g. Clearbit, Apollo, ZoomInfo, LinkedIn Sales Navigator) to generate accurate, actionable prospect and account lists
  • Integrate Clay with our CRM (Salesforce/HubSpot) and outbound sequencing tools (e.g. Instantly, Smartlead, Outreach) to keep data and workflows in sync
  • Build and refine lead scoring and segmentation logic to prioritize the highest-value accounts and contacts
  • Automate manual GTM processes using Clay's native integrations, APIs, and webhooks, supplemented with lightweight scripting (Python/JavaScript) where needed
  • Partner closely with sales and marketing to translate business requirements into working technical systems
  • Monitor data quality, deliverability, and workflow performance, and continuously test and iterate to improve conversion rates
  • Build reporting and dashboards to track pipeline generation, campaign performance, and system health
  • Stay current on new GTM tools, enrichment providers, and automation techniques
Qualifications
  • 2-4 years of experience in a GTM engineering, revenue operations, sales engineering, or growth engineering role
  • Hands-on experience building and maintaining workflows in Clay (required)
  • Experience with outbound sales tooling and data enrichment providers (e.g. Clearbit, ZoomInfo, Apollo, LinkedIn Sales Navigator)
  • Experience integrating GTM tools with a CRM (Salesforce, HubSpot) and outbound sequencing platforms
  • Working knowledge of APIs, webhooks, and basic scripting (Python, JavaScript, or similar) to automate workflows
  • Comfortable working with messy or unstructured data and building processes to clean and structure it
  • Experience working with financial, legal, or other complex datasets a plus
  • Comfortable working independently and figuring things out without a detailed set of requirements
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