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
- 3-5 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
Skills Required
- 3-5 years of experience in GTM engineering, revenue operations, sales engineering, or growth engineering
- Hands-on experience building and maintaining workflows in Clay
- Experience with outbound sales tooling and data enrichment providers such as Clearbit, ZoomInfo, Apollo, and LinkedIn Sales Navigator
- Experience integrating GTM tools with a CRM such as Salesforce or HubSpot and outbound sequencing platforms
- Working knowledge of APIs, webhooks, and basic scripting such as Python or JavaScript
- Ability to work with messy or unstructured data and build processes to clean and structure it
- Experience working with financial, legal, or other complex datasets
- Ability to work independently and develop solutions without detailed requirements
What We Do
Legalist is an institutional alternative asset management firm. The firm uses data-driven technology to invest in credit assets at scale. Legalist combines proprietary sourcing technology with rigorous underwriting expertise to generate risk-adjusted returns for its clients.
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