Job description

About Pulley Pulley helps the country’s top architects, builders, and retailers speed up every project in their portfolio. With AI-powered permitting intelligence and expert guidance, we eliminate costly delays and bring predictability across the full lifecycle of commercial projects. Today, permitting is the slowest, most uncertain part of building, spread across 19,000+ jurisdictions with different rules, timelines, and surprises. Pulley gives project teams the clarity and predictability they need to move from planning to opening without delays. We support rollout programs for brands like J.Crew, Solidcore, and Hibbett Sports, as well as major data center buildouts, EV charging networks, and other commercial projects. Our platform dramatically reduces approval timelines, improves forecasting accuracy, and removes thousands of hours of manual work from design and construction teams. Founded in 2021, Pulley combines deep permitting expertise with purpose-built AI from people who have created products used by millions. We’re backed by CRV, Susa Ventures, Fifth Wall, and leaders from Plaid, Segment, ServiceTitan, and Procore. WHAT YOU’LL DO In this role, you will build the product that gets stuff built. You'll work closely with engineers, designers, and end-users to accelerate our product development. As a product-minded software engineer at Pulley, you will: - Own features and systems end-to-end—from talking to users and defining requirements through architecture, implementation, and iteration in production - Turn unstructured permitting documents, city regulations, and jurisdiction workflows into fast, reliable product experiences, with AI at the core of how the product works - Build with AI agents as a daily practice—directing, reviewing, and shipping agent-driven work at high velocity while owning the quality bar - Make technical and product decisions that have direct impact on our customers and their projects - Raise the bar for the engineers around you through design review, mentorship, and the standards you set in your own work WHO YOU ARE - You thrive in ambiguity—you'd rather define the right problem than execute a spec, and you're energized rather than paralyzed when the path isn't laid out - You're product-minded: you care whether the thing you built actually solved the customer's problem, and you'll talk to users to find out - You have strong opinions about quality and velocity and don't treat them as a tradeoff — you look for the tools, abstractions, and processes that buy both - You default to ownership: when something is broken or missing, your instinct is to fix it, not to file it as someone else's problem NEED TO HAVE - 4+ years of software engineering experience - Track record of owning significant product surface end-to-end: requirements through production, including the unglamorous parts - Fluency in modern full-stack development—we use TypeScript, React, and Google Cloud; you don't need our exact stack, but you should be productive with something similar - Real experience building with AI coding agents and LLM-powered features—not just autocomplete; you've shipped work where agents did substantial implementation under your direction - Ability to architect durable systems while making pragmatic tradeoffs - Based in the San Francisco Bay Area and willing to work in person 4 days a week NICE TO HAVES - Experience in construction tech, govtech, proptech, or another domain where the hard part is messy real-world documents and processes - Experience designing evals or otherwise making LLM-powered features reliable in production - Startup experience at the stage where you helped build the team, not just the product - Experience mentoring engineers or leading technical direction across teams

Requirements

Must-haves

Own features and systems end-to-end—from talking to users and defining requirements through architecture, implementation, and iteration in production
Turn unstructured permitting documents, city regulations, and jurisdiction workflows into fast, reliable product experiences, with AI at the core of how the product works
Build with AI agents as a daily practice—directing, reviewing, and shipping agent-driven work at high velocity while owning the quality bar
Make technical and product decisions that have direct impact on our customers and their projects
Raise the bar for the engineers around you through design review, mentorship, and the standards you set in your own work
You thrive in ambiguity—you'd rather define the right problem than execute a spec, and you're energized rather than paralyzed when the path isn't laid out
You're product-minded: you care whether the thing you built actually solved the customer's problem, and you'll talk to users to find out
You have strong opinions about quality and velocity and don't treat them as a tradeoff — you look for the tools, abstractions, and processes that buy both
You default to ownership: when something is broken or missing, your instinct is to fix it, not to file it as someone else's problem
4+ years of software engineering experience
Track record of owning significant product surface end-to-end: requirements through production, including the unglamorous parts
Fluency in modern full-stack development—we use TypeScript, React, and Google Cloud; you don't need our exact stack, but you should be productive with something similar
Real experience building with AI coding agents and LLM-powered features—not just autocomplete; you've shipped work where agents did substantial implementation under your direction
Ability to architect durable systems while making pragmatic tradeoffs
Based in the San Francisco Bay Area and willing to work in person 4 days a week

Nice-to-haves

Experience in construction tech, govtech, proptech, or another domain where the hard part is messy real-world documents and processes
Experience designing evals or otherwise making LLM-powered features reliable in production
Startup experience at the stage where you helped build the team, not just the product
Experience mentoring engineers or leading technical direction across teams

Application prep

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

Keywords to mirror

aitypescriptreactllm

Platform: ashby
Effort: quick