Staff Software Engineer, Embedded Experience

Harvey is transforming how legal and professional services operate through innovative technology. As a Staff Software Engineer on the Embedded Experience team, you will own backend systems that integrate Harvey's capabilities into existing professional tools, driving product direction and customer engagement.

Responsibilities:

• Own and lead the backend architecture for Harvey’s embedded experiences, including integrations with enterprise platforms like Microsoft Word and Outlook
• Design and build scalable, reliable backend systems and APIs that support AI-powered workflows across diverse customer environments
• Partner directly with customers to deeply understand their workflows, validate hypotheses, and translate insights into durable, extensible product features
• 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
• Collaborate closely with frontend engineers, product managers, and designers to shape cohesive, high-quality embedded experiences
• Navigate ambiguity and help define new products and technical foundations for customer segments that are new to Harvey
• Mentor engineers and raise the bar on system design, code quality, and engineering judgment across the team

Requirements:

• 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
• 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