About Eve
Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong.
Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast.
Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed.
Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up.
AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work.
Explosive growth: We are growing 2X revenue Quarter over Quarter.
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.
This is full-stack product engineering, embedded in Go-To-Market. The work is broad and the pipeline is long: a web platform marketers can publish to without an engineer, internal tools for sales and RevOps, integrations with the systems the business runs on, and data and automation workflows — increasingly AI-assisted — that replace work people do by hand today. The web platform was our first project; it’s one surface among many coming, and you’ll have a real hand in deciding how the rest get built.
You’ll be the second engineer on this surface, working as a true peer to our current engineer — tag-teaming the big ambiguous projects and running whole workstreams independently. You’ll take a vague business problem — “we can’t ship site changes without an engineer,” “this lead-routing breaks silently,” “we do this enrichment by hand every week” — find the real requirements, decide what (and what not) to build, and own it through to production. The highest-leverage version of this job isn’t shipping the next one-off; it’s building the reusable primitives that make the next ten GTM projects faster.
This is not a research role, a pure-infrastructure role, or a “hardest technical problem” role. The hard part here is usually the messy business context, the reliability bar, and the breadth — not algorithmic novelty. We want a pragmatic, execution-oriented engineer who ships and raises everyone’s throughput without adding management load.
What You’ll Be Working On
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.
Raising the bar. Lift the team through code review, reusable patterns, and good “do we even build this?” judgment — including saying no when that’s the right answer.
What You’ll Bring to the Team
Business-critical production experience. You’ve built and owned software real users or real revenue depended on, well past launch. Roughly 6+ years of professional experience, though we weight ownership and judgment over tenure.
Deep full-stack range. You move fluently across a modern web stack, backend services, APIs, and databases, and can take an ambiguous problem to production across all of them without it being pre-scoped. We’re not dogmatic about specific languages.
Strong debugging and reliability instincts. You chase problems to their actual root cause through frontends, APIs, webhooks, data syncs, and production logs — and you build the guardrails that keep the same class of bug from recurring.
Product and business judgment. You understand why you’re building something, negotiate scope and tradeoffs directly with non-engineers, choose simple durable solutions under ambiguity, and push back when the right answer is “don’t build this.”
Independent ownership. You can take a fuzzy workstream and run it to production with minimal supervision, while keeping others unblocked.
Low-ego, high-collaboration leadership. You communicate clearly in writing and in person, mentor by example, and make the people around you more effective.
Bonus Points
A modern TypeScript web stack and/or headless/CMS-backed sites (e.g. Astro, Next, SvelteKit; Sanity, Contentful, or similar), including content models that let non-engineers publish safely.
GTM and data systems depth: Familiarity with HubSpot, Salesforce, Snowflake, Segment, Clay, Apollo, or equivalents — plus fluent SQL for inspecting and validating data.
A track record integrating messy third-party APIs reliably — attribution, identity resolution, lead routing, enrichment, scoring, sync-failure handling.
Growth, activation, or web-platform engineering — experimentation, conversion, performance, SEO, and the metrics and guardrails that go with them.
Internal tools for non-engineering teams that were genuinely adopted, with discovery done before building.
Fluency with AI-assisted development — orchestrating tools like Claude Code, Cursor, or Codex as a real part of your workflow, with strong opinions on task decomposition, context-setting, review, and the tests and guardrails that keep AI-generated work from degrading quality. It’s central to how this team works.
Applied LLM, agent, or automation systems taken well past prototype, with real attention to evals, observability, and failure modes.
Experience in legal, financial services, healthcare, or another domain where correctness matters and outputs must be defensibly right.
Final compensation will be determined based on a variety of factors, including but not limited to relevant experience, skills, interview performance, and the scope and level of the role and candidate.
US Base Salary Range
$250,000 - $300,000 USD
Benefits
💰 Competitive Salary & Equity
💹 401(k) Program with Employer Matching
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚗 Commuter Benefits*
🧑💻 Autonomous Work Environment
🖥️ Workplace Setup Reimbursement
🏠 Telecomm Stipend
🏝 Flexible Time Off (FTO) + Holidays
🚀 Quarterly Team Gatherings
🥪 In office Perks*
*In office employees only
Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.