GTM Engineer
legalist Open · verified Sep 30, 2026 At a glance
Mid-level Solutions & Sales Engineering role at legalist. New York.
Pay not stated
growthroles summary, based on the employer's posting.
What you'll do
- Build Clay workflows for prospecting, enrichment, scoring, and outbound automation
- Connect Clay with Salesforce or HubSpot and sequencing tools to synchronize GTM data
- Create enrichment pipelines using sources such as Clearbit, Apollo, ZoomInfo, and LinkedIn Sales Navigator
- Automate manual processes with integrations, APIs, webhooks, and lightweight Python or JavaScript
- Track data quality, deliverability, conversion performance, and pipeline reporting while improving workflows
What you bring
- Two to four years in GTM engineering, revenue operations, sales engineering, or growth engineering
- Hands-on experience building and maintaining Clay workflows is required
- Experience connecting GTM tools to a CRM and outbound sequencing platforms
- Working knowledge of APIs, webhooks, and basic scripting with Python, JavaScript, or similar
- Comfort cleaning and structuring messy or unorganized data
Who this fits
You’ll suit a hands-on, independent role where you turn loosely defined sales or growth problems into working systems. The job fits someone comfortable partnering with sales and marketing, testing quickly, and improving automation without detailed instructions.
From the employer
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.
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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