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Eve

Software Engineer, Full Stack - GTM

RemoteUnited States only
Published
Role
Fullstack
Experience
Senior
Company size
Startup
$250k–$300k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior full-stack engineer for GTM systems, roughly 6+ years, strong ownership across frontend, backend, APIs, databases, and production reliability. Must be US-based remote and comfortable turning messy growth/sales/RevOps workflows into shipped software.

Optional skills

TypeScriptAstroNext.jsSvelteKitSanityContentfulHubSpotSalesforce

What you'll do

  • Own workstreams across frontend, backend, APIs, and data — and run several in parallel — from ambiguous business problem to shipped, monitored, maintained software.
  • 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.
  • When the same problem shows up repeatedly, build the ingestion, storage, generation, evaluation, and observability pieces that unlock the next ten workflows.
  • Own and evolve our content-driven site as one of several surfaces — fast, accessible, and safe for non-engineers to publish to.
  • Webhooks, data syncs, and production errors are yours; you add the monitoring, validation, and runbooks that catch problems before stakeholders do.
  • Partner directly with growth, sales, and RevOps — do the discovery, translate messy workflows into software, and measure whether it actually helped.
  • 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 they require

  • 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.
  • 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.
  • 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.
  • 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.”
  • You can take a fuzzy workstream and run it to production with minimal supervision, while keeping others unblocked.
  • You communicate clearly in writing and in person, mentor by example, and make the people around you more effective.
  • Preferred: 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.
  • Preferred: GTM and data systems depth: Familiarity with HubSpot, Salesforce, Snowflake, Segment, Clay, Apollo, or equivalents — plus fluent SQL for inspecting and validating data.
  • Preferred: A track record integrating messy third-party APIs reliably — attribution, identity resolution, lead routing, enrichment, scoring, sync-failure handling.
  • Preferred: Growth, activation, or web-platform engineering — experimentation, conversion, performance, SEO, and the metrics and guardrails that go with them.
  • Preferred: Internal tools for non-engineering teams that were genuinely adopted, with discovery done before building.
  • Preferred: 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.
  • Preferred: It’s central to how this team works.
  • Preferred: Applied LLM, agent, or automation systems taken well past prototype, with real attention to evals, observability, and failure modes.
  • Preferred: Experience in legal, financial services, healthcare, or another domain where correctness matters and outputs must be defensibly right.

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 *

Eve

Eve is redefining legal technology for plaintiff law firms with AI that works across every stage of a case, from intake through resolution.

LegalTechStartup
$250k–$300k/yr