GTM Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 42d ago
The date the source published, not the day we noticed it (2026-09-21). Last seen at its source 2h ago.
We have tracked this listing since 24 Oct 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Remote, United States
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $155k–225k/yr
Middle 50% of 5235 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 9d ago · last seen 2h ago
The listing
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