Staff Software Engineer - AI-Driven SaaS Growth

Appfolio

Richardson (TX)

Hybrid

USD 167,000 - 230,000

Full time

5 days ago
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Job summary

AppFolio is seeking a Staff Software Engineer to lead the Resident Concierge subsegment. You will drive technical vision, design complex distributed systems, and mentor engineers to deliver production-grade SaaS infrastructure.

You will collaborate with Product, Design, and ML teams to balance AI capabilities with customer value, owning solutions end-to-end in a highly autonomous team.

Qualifications

  • You have 8+ years of experience developing and scaling web-based applications, preferably in a SaaS environment.
  • You have led high-stakes projects from ambiguity to launch, aligning stakeholders and ensuring long-term health.
  • You have led architectural discussions and guided technical decision-making, with a focus on maintainability.

Responsibilities

  • Drive the technical vision and strategy across the Resident Concierge subsegment and influence roadmap decisions.
  • Lead design and implementation of complex, distributed systems to handle 10x traffic growth.
  • Coach engineers, foster autonomous culture, and promote ownership and continuous learning.
  • Collaborate with Product, Design, and ML leaders to align AI capabilities with customer value.
  • Own full lifecycle of solutions from discovery through production and monitoring.

Skills

8+ years experience
Technical leadership
Architectural design
AI tooling
SaaS
Distributed systems
Mentoring
Code reviews

Education

Bachelor’s, Master’s, or Ph.D. in Computer Science

Tools

Golang
React
AWS
Service-oriented architectures

Job description

AppFolio is seeking a Staff Software Engineer to lead the Resident Concierge subsegment. You will drive technical vision, design complex distributed systems, and mentor engineers to deliver production-grade SaaS infrastructure.

You will collaborate with Product, Design, and ML teams to balance AI capabilities with customer value, owning solutions end-to-end in a highly autonomous team.

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