Job description

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 BS in Computer Science or Software Engineering, or equivalent work experience 10+ years of professional software engineering experience, including full stack development Proven expertise building scalable web application back ends: Ruby on Rails, Flask, Node, or similar Advanced front end experience: React, Angular, Vue, or similar Hands on experience with AI assisted development tools (Cursor, Claude Code, or similar) in production work, with a track record of driving adoption and productivity gains across an engineering team Demonstrated experience leading complex initiatives across teams from concept to production Experience mentoring engineers and influencing architectural decisions Nice to have Experience integrating LLM APIs or building AI workflows in production Experience with distributed systems, event driven architectures, or cloud platforms like AWS Background in high growth SaaS Interest in commercial real estate or fintech The Perks & Culture : Medical, dental, & vision insurance coverage Hybrid 3 days in office policy Flexible Spending Account Paid Parental Leave 401(k) Company sponsored commuter benefits Flexible time off policy Catered lunches and snacks Monthly wellness reimbursement The estimated base pay range for New York candidates for this position is $220k - $260k base. This position is also eligible for Dealpath's equity plan. Your compensation will be based upon several factors including your experience, qualifications, education, location, and the skills assessed in Dealpath's interview process. Your actual compensation will be confirmed in writing at the time of offer. Dealpath's compensation ranges are determined by current market data, so compensation data posted on our job posts may change as new market data becomes available. About Dealpath Dealpath is the world's largest and most trusted AI-powered operating system for real estate investing. To date, the platform has powered more than $10 trillion in transactions, partnering with hundreds of firms, including leading global institutions such as Blackstone, Nuveen, LaSalle, CBRE IM, MetLife, Newmark, New York Life, UBS, Manulife, DWS, and Principal. By bringing together the only private exchange for institutional real estate listings, investment data, and intelligent execution workflows into a single platform, Dealpath enables firms to capture more opportunities, make faster decisions, execute efficiently, and deliver superior returns. Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital. We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture — we'd love to meet you!

Requirements

Must-haves

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.
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
BS in Computer Science or Software Engineering, or equivalent work experience

Nice-to-haves

Experience integrating LLM APIs or building AI workflows in production
Experience with distributed systems, event driven architectures, or cloud platforms like AWS
Background in high growth SaaS
Interest in commercial real estate or fintech

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aireactangularvuellmaws

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave

Wellness