Location: Hybrid at 95 Third Street, 2nd Floor, San Francisco, CA 94103
Comp range: Up to base $260K +Equity (0.15-0.4%)
Interview Process: 3 rounds!
Why you should join
- Traction — YC W25 company that doubled ARR in H1 and is targeting another 2x in H2
- Ground floor of a funded team — $4.7M seed from Nexus Venture Partners and Y Combinator, and 12 people today.
- You own engineering from day one — the engineering function day-to-day, a team of four engineers, and a direct line to the CTO/CEO.
- Equity with revenue behind it — 0.3%–0.7% at seed stage.
Must Have:
- Staff engineer or team lead who made the calls on how a team proceeded with architectural and technical decisions
- Cloud engineering and distributed systems depth
Required:
- Experience in backend, cloud, and distributed systems engineering, with recent time at a staff engineer or team lead level
- Built technically challenging products with real scale, reliability or real- time/latency- critical demands
- Backend development in Python and Postgres
- Interested in leading a team
Nice to Have:
- Experience at a conversational AI or voice AI company
- Ability to work on the frontend
Red Flag:
- Only big tech, no startup experience
- Pure engineering manager profiles, several years removed from hands- on technical decisions
- ML- or data-science-weighted profiles
What we're looking for:
We build voice and SMS AI agents for home improvement companies. Every appointment we book by phone is worth $20k+ for them, generating millions in new revenue for our customers.
We were in the top 1% of our YC batch by growth. Closed an oversubscribed $4.7M seed in 3 days. We doubled ARR in the first half of 2026 and are aiming to double it again by year-end. The current technical team consists of 3 engineers + me.
The role
Lead engineering and report to me. I want to spend less time on code reviews and running the engineering team, and instead talk more to customers to understand the product bottlenecks and its next evolution.
- Lead the engineering team, review code, own team output
- Make architectural decisions (latency-critical distributed system)
- Set up engineering best practices and processes, mentoring
- Task prioritization to support business objectives
- Contribute to the codebase yourself (20-30% of your time)
- Hire >10 engineers over the next 12 months
The technical problem
- Scale and latency. We handle ~3M phone calls a month. We need to be able to grow that exponentially while holding p95 end-to-end latency under 1 second.
- From calls to an operating system. Phone calls and SMS are the atoms that are tied to the long-running campaigns. The goal is an operating system for home improvement and adjacent industries with a CRM expansion.
- Self-improving agents. An agent that watches the voice agents, proposes changes, A/B tests them automatically against live traffic, and promotes or rejects the change. A closed loop with humans only at the edges.
You
- Led a team of 4+ engineers at a fast-growing startup
- See the eng org as a system: find the bottleneck, fix it, find the next one
- Excellent people skills. You enjoy coordinating and talking to people.
- Curiosity and attention to detail
- Passion for building elegant, performant, agentic, latency-critical distributed systems (so many buzzwords, I know)
First 30/60/90 Days
- 0-30: You've paired with me on code reviews and architecture calls. You've shipped code across our voice service, backend, and frontend, so you know the system first-hand. You've had a 1:1 with every engineer and FDE.
- 30-60: You collaborate with me on the eng roadmap and own its execution. I've stopped reviewing most code. Dev productivity and system observability have measurably improved.
- 60-90: Engineering runs without me in the loop day-to-day, and I'm spending that time with customers. You're leading a new product expansion. You hold mentoring sessions with engineers.
How we work
- In person 4 days a week, California Street in SF, with one WFH day.
About hiring manager
In my previous life, I built infrastructure for DALL-E 2 and led an academic research team on autonomous extraterrestrial rovers, as well as worked on the computer vision team for autonomous trucking.