Why This Job is Featured on The SaaS Jobs
Harvey sits at the intersection of enterprise SaaS and applied AI, building a platform that must translate frontier LLM and agentic capabilities into dependable product experiences. For the SaaS ecosystem, that combination raises the bar on backend engineering: multi-tenant architecture, permissions and auditing, and production-grade reliability become inseparable from AI feature delivery.
The role offers durable SaaS career leverage through ownership of the systems that make an AI product operable at scale. Work on API design, data modeling in Postgres, observability, and performance tuning maps directly to the core concerns of modern subscription businesses, where uptime, latency, and secure access control shape retention. Exposure to orchestrating AI workflows from well-structured services also builds a transferable skill set as more SaaS products incorporate model-driven functionality behind conventional interfaces.
This position best fits a senior engineer who prefers end-to-end accountability, from technical design through on-call operation, and who enjoys partnering closely with product and frontend counterparts. It will appeal to someone comfortable making architectural decisions under real customer usage, and who values clear service boundaries, measurable reliability, and pragmatic iteration in a remote-friendly setup.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Why Harvey
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
As a Product Backend Engineer on Harvey’s product engineering team, you will design and operate the backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences. You’ll build secure, multi-tenant services, orchestrate interactions with LLMs and agentic tools, and help define the backend architecture that powers Harvey’s rapidly expanding product surface. Your work will have immediate business and customer impact as you ship the foundational systems behind our next generation of AI products.
What You'll Do
Collaborate closely with Product to prioritize customer-focused work and deliver reliable features quickly in a fast-moving environment.
Design and own backend services and APIs that power Harvey’s web applications, workflows, and integrations.
Model and manage data in Postgres and related data stores to support low-latency, reliable user experiences.
Build secure, multi-tenant, permissions-aware systems with appropriate auditing for enterprise and government customers.
Implement backend features and workflows that use LLMs and agentic tools, orchestrating calls to our AI systems from robust, well-structured services.
Collaborate with frontend, product, and design partners to shape solutions, define clear API contracts, and ship features end-to-end.
Add meaningful logging, metrics, and tracing so services are observable, debuggable, and ready for on-call ownership.
Improve performance and scalability by profiling bottlenecks, tuning queries, and refining service boundaries as usage grows.
Participate in code reviews, technical design discussions, and an on-call rotation for the services you own.
What You Have
15+ years of backend engineering experience building and operating production web applications or SaaS products.
Track record of building fast-growing SaaS products by leveraging PWA technologies
Track record of shipping highly intuitive products, strong attention to detail
Strong programming skills in Python and experience with a modern web framework (e.g., FastAPI or Flask).
Hands-on experience with relational databases (e.g., Postgres)
Solid understanding of API design, authentication/authorization, background job patterns, and robust error handling.
Experience building for Cloud Infrastructure such as Azure, AWS, or GCP.
Comfort operating services in production using logs, metrics, dashboards, and alerts, including participation in an on-call rotation.
Additional Information
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
