8 months ago
Base Salary
$200k - $260k/yr
Responsibilities
- Embed with customers to map workflows, define success metrics, and de-risk constraints for custom builds.
- Design, prototype, productionize, and scale custom workflows involving knowledge sources, retrieval pipelines, tools or agents, prompts, and guardrails.
- Integrate workflows with customer document management, knowledge management, ticketing, identity, SSO, and other data systems.
- Build and maintain evaluation harnesses, task suites, pipelines, and dashboards to guide iteration and model choices.
- Improve reliability, observability, and operational scale for deployed workflows.
- Run customer training, write runbooks, and hand off durable adoption playbooks to customer champions and Harvey teams.
- Identify recurring field patterns and failure modes to inform platform capabilities and future product decisions.
Requirements
- 5+ years building and operating production software with meaningful 0-to-1 ownership.
- Experience building and taking LLM-powered applications involving retrieval, tools or agents, structured outputs, and prompt or runtime safety to production.
- Experience working directly with customers to scope ambiguous problems, ship and integrate solutions, train users, and iterate on adoption.
- Practical experience designing evaluation task suites, pipelines, and dashboards that reflect user quality and inform model or product decisions.
- Clear, concise communication, low-ego collaboration, and willingness to work in person with teammates and customers in New York City.
Benefits
- In-person work model in New York, NY
- Relocation assistance for new employees
Categories
Forward Deployed
About Harvey
Harvey builds domain-specific generative AI for legal and other professional services, delivered as an enterprise platform and APIs to automate contract analysis, due diligence, compliance, and litigation workflows. Founded in 2022 and headquartered in San Francisco, it sells to law firms and corporate legal departments on enterprise agreements; investors include Sequoia Capital and OpenAI. Customers include multiple Am Law 100 firms and Fortune 500 companies’ legal teams.