San Francisco, CA · Hybrid (3 days/week on-site) · Full-time
Compensation: $170K–$311K + equity
About the Company
Our client is a profitable, growth-stage company building an AI-native go-to-market platform used by hundreds of thousands of businesses worldwide. They're rebuilding their entire product around AI and agents, and they're hiring senior engineers to own core systems at real scale. The engineering culture is high-bar, autonomy-driven, and built around AI-assisted development.
Growth-stage · ~250 people · Industry: Software Development, AI, B2B, Marketing, Enterprise
The Role
You'll design, build, and scale large distributed systems, owning significant pieces of the platform end-to-end and building AI-native agent systems that hundreds of thousands of customers rely on every day.
What you'll be doing
- Own significant systems and features end-to-end, from design through production and day-to-day operation
- Build and operate large-scale distributed systems, choosing and combining the right technologies for the problem
- Take hard, ambiguous problems and drive them to shipped outcomes, owning reliability, performance, and cost
- Build AI-native agent systems used at scale
Tech stack: React, Ruby/Rails, Python, MongoDB, Elasticsearch, GCP/K8s (with Kafka and Terraform in the mix)
Requirements
- 5–8 years in backend or full-stack engineering, centered on building large-scale distributed systems
- Hands-on experience at a startup, an AI-native company, or in an early/founding-engineer setting
- A track record of owning and operating high-scale distributed systems (100K+ users)
- Clear growth in scope and responsibility over your career, rather than staying flat at the same level
- Strong system-design ability for large-scale data and distributed systems
- Currently at (or recently from) a well-regarded, high-growth engineering organization, with a strong database background or experience building LLM-powered systems
- Comfortable working across Ruby/Rails, Python, and MongoDB or Elasticsearch
- Based in the SF Bay Area and able to work hybrid, three days a week on-site
Nice to Haves
- A CS degree from a strong program (weighted less heavily if you have 5+ years of strong experience)
- Day-to-day use of AI-assisted development tools such as Copilot or Cursor
Why Join
- Own systems end-to-end that hundreds of thousands of customers depend on daily
- Join a high-bar, AI-native engineering team with genuine autonomy and a real tooling budget
- Work on AI and agent systems at true scale
- Competitive compensation plus equity
Details
- Location: San Francisco, CA
- Work policy: Hybrid — 3 days/week in office
- Compensation: $170K–$311K + equity
- Visa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers)
- Employment type: Full-time