Staff Software Engineer, Harvey
Full Stack, New Verticals
$260-310k
Offers Equity + 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
$260-310k
Offers Equity + Bonus
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 8+ years of experience building and operating production software, with meaningful ownership of systems from initial concept through launch and iteration
- Strong engineering fundamentals across backend systems, APIs, data modeling, and exposure to at least one modern frontend stack
- Experience building full-stack products, not just isolated services or UI layers
- Experience working with data pipelines, analytical systems, or document-heavy workflows, including schema design, ETL, query performance, and data reliability
- Experience building AI-powered or workflow-driven applications, such as retrieval systems, agentic workflows, orchestration layers, evaluation pipelines, or structured generation systems
- Comfort working across a broad technical surface area, including application code, infrastructure, databases, observability, and internal tooling
- Ability to debug and improve complex production systems using logs, metrics, traces, dashboards, and strong engineering intuition
- Strong product sense and the ability to translate ambiguous business or user needs into thoughtful technical designs
- Comfort partnering directly with customers and cross-functional teams to scope problems, validate solutions, and drive adoption
- Clear, concise communication, a low-ego working style, and enthusiasm for collaborating in person with teammates in New York
What the job involves
- We’re hiring a Senior Software Engineer, New Verticals to build new products and capabilities for the legal industry from first principles
- This is a deeply technical, end-to-end engineering role for someone who is excited to own ambiguous, high-leverage problems across the full stack
- You will work on greenfield and early-stage product areas that span user-facing applications, backend services, data systems, document and knowledge pipelines, and agentic workflows
- Depending on the problem, that may mean building production frontend experiences, designing APIs and services, modeling data, standing up ETL pipelines, improving retrieval and evaluation loops, orchestrating long-running agents, or shipping platform capabilities that make entirely new solution categories possible
- You will partner closely with customers, product, design, and other engineers to understand complex legal workflows and translate them into robust, scalable software
- The goal is not just to deliver custom solutions, but to identify repeatable patterns and turn them into durable product and platform capabilities that can define new verticals for Harvey
- High Beta: You understand that ambiguity and volatility are part of building new products. You can move from undefined problem spaces to concrete technical plans, test assumptions quickly, and adjust without attachment when the evidence changes
- Customer-Driven Engineering: You ground technical decisions in real user problems. You are excited to work directly with customers and internal partners, understand complex workflows in detail, and build systems that solve practical, high-value problems in production
- Relentless Builder Mentality: You have a strong bias toward shipping. You know how to balance speed and rigor, and you are comfortable building the first version, learning from usage, and then improving architecture, reliability, and scale over time
- Strong Technical Judgment: You can navigate tradeoffs across product, infrastructure, and data. You know when to invest in abstractions, when to keep things simple, and how to make systems that are both pragmatic in the short term and durable in the long term
- Design and build production systems end-to-end across frontend applications, backend services, APIs, data models, and developer tooling
- Develop new vertical product capabilities involving document ingestion, workflow orchestration, retrieval, structured outputs, agent frameworks, and human-in-the-loop review flows
- Build and operate data-intensive systems, including ETL pipelines, analytical data models, serving layers, and interfaces for querying and exploring large datasets
- Work across a modern technical stack that may include Python, TypeScript, SQL, cloud infrastructure, agent orchestration engines, data processing platforms, and analytical databases
- Define service boundaries, schema design, and system architecture for new product areas with an emphasis on reliability, extensibility, and speed of iteration
- Ship customer-facing features quickly, then harden them for scale through observability, testing, performance tuning, and operational excellence
- Partner directly with customers and internal stakeholders to understand domain-specific workflows, map requirements into technical designs, and iterate rapidly on real usage
- Build evaluation, monitoring, and feedback systems that measure product quality in production and inform engineering and model decisions
- Contribute reusable platform patterns, abstractions, and internal tools so successful solutions can scale across customers and verticals
- Help drive technical direction in ambiguous spaces, making strong engineering decisions with incomplete information and a high degree of ownership
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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