Eve - Software Engineer, Full Stack - GTM

• 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. • Business-critical production experience. • 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. • Deep full-stack range. • 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. • Strong debugging and reliability instincts. • 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.” • Product and business judgment. • Independent ownership. You can take a fuzzy workstream and run it to production with minimal supervision, while keeping others unblocked. • Independent ownership. • Low-ego, high-collaboration leadership. You communicate clearly in writing and in person, mentor by example, and make the people around you more effective. • Low-ego, high-collaboration leadership. • 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. • GTM and data systems depth: • 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. • Growth, activation, or web-platform engineering • Internal tools for non-engineering teams that were genuinely adopted, with discovery done before building. • Internal tools for non-engineering teams • 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. • Fluency with AI-assisted development • 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.