Staff Web Engineer, Harvey
$146.6-201.5k
Offers Equity • Offers Bonus
Domain-specific AI for legal and professional services
Be an early applicant
Domain-specific AI for legal and professional services
501-1000 employees
Be an early applicant
$146.6-201.5k
Offers Equity • Offers Bonus
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 8+ years of Web Engineering experience with deep back-end and systems expertise, and a track record of owning technical architecture at a staff level of scope and ambiguity
- Strong command of the modern web stack — React/Next.js, TypeScript, and server-side rendering — paired with genuine back-end depth (Node, Python, or comparable) rather than front-end specialization alone
- Experience architecting and operating headless CMS and content platforms (Sanity, Contentful, or similar) at scale, including schema design and publishing workflows
- Proven experience building and operating reliable production systems: CI/CD, infrastructure-as-code, observability tooling, and performance optimization against real user metrics
- Fluency with data infrastructure fundamentals — SQL/NoSQL databases, caching, queuing, API and webhook integration patterns — in service of marketing and GTM systems
- Experience integrating AI/ML capabilities into production web experiences or content workflows
- Demonstrated ability to mentor less experienced engineers, influence across functions, and operate autonomously in a small team where you are the deepest technical voice
- Vercel platform experience; marketing/GTM systems integration (HubSpot, Salesforce, Segment, analytics); SEO and web performance engineering; prior experience as the first or most senior engineer on a web platform team
What the job involves
- The Staff Web Engineer joins Harvey's Web team as the senior technical leader for the architecture, data foundations, and systems integration behind harvey.ai and every web-facing surface. The team's mission is to make Harvey's web presence evolve at the velocity of the product itself — reliable, observable, and fast enough that Marketing and GTM can ship without waiting on engineering
- This role owns the technical strategy for that platform: the Next.js and Sanity architecture, the integration layer connecting the website to Harvey's marketing, analytics, and GTM systems, and the automation and testing practices the team currently lacks. You will be the most senior engineer on a small, front-end-leaning team, setting standards and mentoring as much as building
- You partner directly with Harvey's product engineering, security, and infrastructure organizations to make sure the web platform meets the same bar as the rest of the company. It is a rare opportunity to build foundational systems from scratch at one of the fastest-growing AI companies, with unusually direct line of sight from your work to the company's growth
- Own the architecture of Harvey's web platform end to end — the Next.js/Vercel application, the Sanity content layer, and the services and APIs behind them — with a focus on reliability, performance, and scalability
- Design and build the data foundations and integration patterns that connect the website to Harvey's marketing, analytics, CRM, and GTM systems, supporting both real-time and batch workloads
- Establish automation, CI/CD, preview/deploy tooling, and robust automated testing where little exists today, reducing operational toil and increasing team velocity
- Set observability standards — structured logging, tracing, Core Web Vitals and performance budgets, alerting — so the team can catch and resolve issues before Marketing does
- Lead how the team applies AI and ML to web workflows, from content operations to personalization to internal tooling, and act as the bridge between product engineering and web engineering
- Partner with Security and Infrastructure to harden the platform without slowing developer experience
- Provide technical leadership and mentorship to a small, front-end-focused team through code review, design review, and architectural guidance
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies generative AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 10 rounds)
Mar 2026
$200m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.2bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(Co-Founder & President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
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