Staff Full Stack Engineer

About the role

Staff Software Engineer

Location: San Francisco, CA (Hybrid, 3 days/week in office)

Dealpath is the AI powered operating system for institutional real estate investing, purpose built to help the world's leading firms capture more opportunities, make faster decisions, and execute with precision.

As a Staff Software Engineer here, you'll set technical direction for the platform that firms managing trillions in real assets rely on every day. You'll lead our most complex initiatives, shape how our engineering team builds with AI, and raise the bar for everyone around you. We're looking for an engineer who stays hands on, thinks like an owner, and wants to help shape the way the built world transacts.

You're excited about this opportunity because you'll

- Lead high impact initiatives: drive complex, multi team projects from concept to production, owning the technical approach and the outcome

- Shape technical direction: influence architecture, system design, and best practices across the engineering organization

- Set the standard for building with AI: use Claude Code, Cursor, and others as a core part of how you work, and lead how the broader team adopts them to ship faster without sacrificing quality

- Raise the bar on code quality: define and uphold standards for correctness, security, performance, and maintainability, for hand written and AI generated code alike

- Partner across the business: work closely with product, design, and quality to define technical requirements and shape what gets built

- Scale the platform: find opportunities to improve reliability, performance, and team efficiency, and drive them to completion

- Grow other engineers: mentor senior and earlier career engineers through design reviews, code reviews, and pairing, building judgment across the team

We're excited that you have

- Advanced AI fluency: you direct tools like Claude Code or Cursor at a high level, build repeatable workflows around them, and help others do the same

- Technical leadership: you lead without needing authority, align engineers around a direction, and make sound architectural calls under ambiguity

- Strong code review judgment: you hold AI generated code to the same standard as hand written code and teach others to catch bugs, edge cases, security gaps, and performance issues before they ship

- Product sense: you think about the user and the business, not just the implementation, and connect technical decisions to customer outcomes

- Systems thinking: deep grasp of system design, scaling, and the tradeoffs between performance, reliability, and data integrity

- Clear communication: you articulate technical tradeoffs to engineers, leadership, and non technical partners alike

- Mentorship orientation: you give feedback that builds judgment in others, not just fixes the immediate issue

Qualifications