Staff Software Engineer — AI-Driven SaaS Architect

AppFolio, Inc.; Santa Barbara (CA); Hybrid; USD 167,000 - 230,000; Full time

Job summary

AppFolio, Inc. is seeking a Staff Software Engineer for the Resident Concierge segment in a hybrid, multi-office setup (Santa Barbara, Dallas, San Diego, plus remote hubs).

You will lead architectural decisions, design scalable distributed systems, and mentor engineers in a high-growth SaaS environment. The role emphasizes collaboration with Product, Design, and ML leaders, adoption of AI tooling, and owning end-to-end lifecycle from discovery to production, with a focus on maintainability and

Qualifications

• 8+ years of experience building and scaling SaaS web apps.
• Led architectural discussions and guided technical decisions.
• Experience applying AI tooling to daily workflow and product delivery.
• Bachelor’s, Master’s, or Ph.D. in CS or related field.

Responsibilities

• Define the technical vision for the Resident Concierge subsegment and influence the roadmap.
• Design and implement distributed systems to support 10x traffic and engagement growth.
• Coach engineers and promote a high-trust, autonomous engineering culture.
• Collaborate with Product, Design, and ML leaders to align AI capabilities with customer value.
• Own the full lifecycle of solutions from discovery to production, with autonomous teams.
• Research and apply new technologies to improve quality and speed of delivery.
• Utilize TDD, code reviews, and CI to maintain high-quality software.

Skills

8+ years experience

AI tooling adoption

Architectural decisions

Mentoring engineers

Education

Bachelor’s/Master’s/Ph.D. in CS

Tools

Go (Golang)

React

AWS

SOA / microservices

Job description

AppFolio, Inc. is seeking a Staff Software Engineer for the Resident Concierge segment in a hybrid, multi-office setup (Santa Barbara, Dallas, San Diego, plus remote hubs).

You will lead architectural decisions, design scalable distributed systems, and mentor engineers in a high-growth SaaS environment. The role emphasizes collaboration with Product, Design, and ML leaders, adoption of AI tooling, and owning end-to-end lifecycle from discovery to production, with a focus on maintainability and