• Designing and maintaining testing systems for deterministic logic and AI influenced, non deterministic behavior, integrating these validations directly into CI, release pipelines, and review workflows • Engaging early with engineering to surface risks before implementation, strengthening team wide quality skills, and promoting testability as a core design requirement • Broadening our verification approach beyond unit tests into integration, system, stress, and full workflow testing across the entire stack • Maintaining dependable test environments with strong instrumentation for rapid diagnosis, enhancing observability and logging to shorten the path from failure to root cause • Building tools, fixtures, and supporting libraries that generate stable and repeatable test conditions, enabling reliable validation of complex scenarios without ad hoc data creation

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 RoleEve’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.

• Lead the design, architecture, and delivery of new platform capabilities in a collaborative agile environment • Build, support, and maintain key services that drive our Federated GraphQL API, event-driven architecture, and regulatory compliance tooling • Drive integrations with internal services by partnering closely with engineering teams and stakeholders across the organization • Support teams developing features in our customer-facing applications (theScore, theScore Bet, Hollywood Casino) by helping define scope, contributing to technical specs, and identifying edge cases and performance improvements through code and design review • Develop, scale, and optimize gRPC endpoints, GraphQL APIs, and SQL queries • Own observability practices across our systems, including monitoring, alerting, and incident response (DataDog, Bugsnag) • Proactively identify bottlenecks and areas of systemic risk, and lead efforts to address them before they impact reliability or scale • Mentor engineers across the organization and contribute to a culture of technical excellence

About Vercel:Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role:Vercel is looking for engineers to help us build functional systems that improve product and customer experience. As a member of the Edge team, you will help to scale and improve our infrastructure, availability and reliability by working with our backend engineers and product team to identify problems, create tooling and automation. Your role will be dynamic - you should be comfortable designing systems, writing code, and debugging systems in production. Our team orchestrates deploying, routing and serving for our customers through capabilities and tooling we maintain that leverage our own and other cloud providers' infrastructure for networking, TLS termination, routing, storage, caching and other novel edge services. If you’re based within a pre-determined commuting distance of one of our offices (SF or NY), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. About You: - Intrigued about tackling the complex challenges serving petabytes of data and billions of requests to millions of people - A collaborative team player who believes in the power of strong teams to drive significant changes and innovations - Have at least 5 years of relevant experience - Have deep experience with how to make high performance systems scale in the cloud - Want to help protect the Vercel platform and our customers from abuse - Are keen to experiment, challenge norms and deliver secure and reliable systems that delight Vercel's users - Are knowledgeable and experienced with web servers, network protocols - Comfortable in Golang - Familiar with Cloud Services (e.g. AWS, Google Cloud, or others) - Experience with Terraform, Kubernetes, Lua, React and Next.js are nice-to-have! Benefits: - Competitive compensation package, including equity. - Inclusive Healthcare Package. - Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. - Flexible Time Off. - We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. #LI-DNI