GTM Engineer

Legalist$110K — $130K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-4 years of experience in GTM engineering or related fields
  • Hands-on expertise in building Clay-based workflows
  • Familiarity with outbound sales tools and data enrichment services
  • Proficient in integrating GTM tools with CRMs like Salesforce and HubSpot
  • Understanding of APIs, webhooks, and basic scripting in Python or JavaScript
  • Ability to manage messy or unstructured datasets
  • Experience in dealing with financial or legal datasets is beneficial

Responsibilities

  • Design and maintain GTM automation workflows using Clay
  • Create data enrichment pipelines from various sources
  • Integrate Clay with CRM and outbound tools for data synchronization
  • Refine lead scoring and segmentation logic for prioritization
  • Automate GTM processes using native integrations and scripting
  • Collaborate with sales and marketing to align technical systems with business needs
  • Monitor and improve data quality and workflow performance
  • Develop reporting and dashboards for performance tracking

Benefits

  • Flexible work hours to promote work-life balance
  • Opportunity to work with cutting-edge GTM automation tools
  • Collaborative environment with close partnerships between teams
  • Continuous learning and growth opportunities in the GTM space
  • Supportive culture focused on innovation and efficiency
Full Job Description
Intro description:

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

About Legalist

Legalist is a litigation finance firm that provides funding to plaintiffs in commercial lawsuits. The company uses machine learning algorithms to analyze legal cases and determine their likelihood of success, allowing it to make informed investment decisions. Legalist was founded in 2016 and is based in San Francisco, California.
Learn more about Legalist
Size
20 employees
Industry
Founded
2016

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