# Senior Full Stack Engineer, AI & Growth Systems at Eve

- Company: Eve
- What the company does: Legal AI software for plaintiff law firms: handle more cases, increase settlement values, and grow revenue without adding headcount. Trusted by 1,200+ firms. Backed by Lightspeed, a16z and Menlo.
- Company website: https://eve.legal/
- Type: Startups (AI role)
- Level: Senior
- Location: Remote - US
- Work setup: Remote
- Posted: 2026-06-11
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/eve/jobs/4284404009
- Page: https://www.1752.vc/careers/jobs/eve-senior-full-stack-engineer-ai-and-growth-systems/

## About the role

Eve’s Go-To-Market team — growth, marketing, sales, and RevOps — moves fast and runs on software, and we’re building a lot of it. As a Senior Software Engineer on this team, you’ll own large parts of that software: internal tools, integrations, GTM data and automation systems, and the web platform — the systems that turn manual GTM work into something repeatable and reliable.

## What they're looking for

- End-to-end ownership. Own workstreams across frontend, backend, APIs, and data — and run several in parallel — from ambiguous business problem to shipped, monitored, maintained software
- Internal tools, integrations, and GTM systems. Connect CRMs, marketing automation, data warehouses, and third-party APIs into workflows the business can trust, including AI-assisted workflows where they earn their place
- Reusable primitives over one-offs. When the same problem shows up repeatedly, build the ingestion, storage, generation, evaluation, and observability pieces that unlock the next ten workflows
- The web platform. Own and evolve our content-driven site as one of several surfaces — fast, accessible, and safe for non-engineers to publish to
- Reliability. Webhooks, data syncs, and production errors are yours, you add the monitoring, validation, and runbooks that catch problems before stakeholders do
- Working with the business. Partner directly with growth, sales, and RevOps — do the discovery, translate messy workflows into software, and measure whether it actually helped

Tags: Engineering