Staff Software Engineer, Product

Harvey Harvey · AI Frontier · San Francisco, CA · Engineering

Staff Software Engineer to own backend architecture for embedded AI experiences in professional services, focusing on integrations with enterprise platforms like Microsoft Word and Outlook. The role involves designing and building scalable systems, partnering with customers, and driving technical decisions in an autonomous, high-impact environment.

What you'd actually do

  1. Own and lead the backend architecture for Harvey’s embedded experiences, including integrations with enterprise platforms like Microsoft Word and Outlook.
  2. Design and build scalable, reliable backend systems and APIs that support AI-powered workflows across diverse customer environments.
  3. Partner directly with customers to deeply understand their workflows, validate hypotheses, and translate insights into durable, extensible product features.
  4. Drive technical decisions in a high-autonomy environment, where problem definition, scope, and success metrics are often shaped by the team rather than handed down.
  5. Collaborate closely with frontend engineers, product managers, and designers to shape cohesive, high-quality embedded experiences.

Skills

Required

  • 8+ years of professional software engineering experience, with deep expertise in backend or backend-leaning fullstack development.
  • A strong track record of designing and building scalable, production-grade systems—including backend systems, APIs, services, and infrastructure for complex, distributed, or latency-sensitive applications—in SaaS or high-growth environments.
  • Comfort working close to the product surface and directly with customers, translating qualitative feedback into technical solutions.
  • Strong communication skills and the ability to collaborate effectively across engineering, product, design, and customer-facing teams.
  • Excellent context-switching abilities and comfort operating in ambiguous, exploratory problem spaces.
  • A bias toward ownership and action.

Nice to have

  • Experience building embedded applications or deep integrations (e.g., Office add-ins, browser extensions, IDE plugins, or similar).
  • Experience building in TypeScript and/or Python
  • Background in building or shipping products that integrate with AI or LLM-based systems.
  • Experience working with Microsoft 365 integrations or enterprise SaaS platforms.
  • Familiarity with private equity, Big Four, or other professional services workflow

What the JD emphasized

  • deep domain expertise
  • frontier agentic AI
  • enterprise-grade platform
  • deep domain expertise
  • scaling fast
  • product-market fit
  • defining a new category
  • embedded experiences
  • AI-powered capabilities
  • agentic editing
  • backend architecture
  • AI-powered workflows
  • customer environments
  • customer interaction
  • technical judgment
  • product direction
  • system design
  • new offerings
  • ambiguity
  • exploratory problem spaces
  • new products
  • technical foundations

Other signals

  • agentic AI
  • enterprise-grade platform
  • scaling fast
  • product-market fit
  • defining a new category
  • embedded experiences
  • AI-powered capabilities
  • agentic editing
  • backend architecture
  • AI-powered workflows
  • customer interaction
  • technical judgment
  • product direction
  • system design
  • new offerings
  • ambiguity
  • exploratory problem spaces
  • new products
  • technical foundations