Senior Software Engineer

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.

Who You Are

• Thrives in ambiguity
• Product-minded: cares whether the thing you built actually solved the customer's problem
• Strong opinions about quality and velocity; doesn't treat them as a tradeoff
• Ownership-oriented: instinctively fixes things that are broken or missing

What You’ll Do

• 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
• Maintain technical and product decisions that have direct impact on our customers and their projects

Requirements

• 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

Qualifications

• Based in the San Francisco Bay Area and willing to work in person 4 days a week

Nice to Have

• 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