Technical Lead

🚀 Hiring: Tech Lead | San Francisco | Hybrid📍 Location: San Francisco, CA — 4 days in-office / 1 day WFH💰 Compensation: Up to $260K base + equity📈 Equity: 0.5–1.0%💼 Type: Full-Time / Direct HireWork Authorization: US Citizen or Green Card🎯 Interview: 3 roundsWhy this opportunity?Join a YC W25, fast-growing AI company that has already doubled ARR in the first half of 2026 and is targeting another 2x by year-end.The company recently raised a $4.7M seed round backed by Nexus Venture Partners and Y Combinator and currently has a lean team of ~12 people.As Tech Lead, you'll have significant ownership from day one — leading a team of engineers, driving architecture and technical decisions, and working directly with the CTO/CEO.What you'll be doingLead and mentor a team of 4+ engineersOwn architectural and technical decisions for highly scalable, latency-critical systemsDrive engineering best practices, processes, and team executionPrioritize technical work around business objectivesStay hands-on and contribute ~20–30% of your time to the codebaseHelp scale the engineering organization as the company growsBuild systems capable of handling millions of voice calls per month while maintaining sub-second latencyWhat we're looking forRecent Staff Engineer / Technical Lead / Team Lead experience with strong technical ownershipDeep expertise in backend, cloud engineering, and distributed systemsStrong Python + PostgreSQL experienceExperience building products at meaningful scale with demanding reliability, performance, or real-time requirementsProven ability to make architectural decisions and influence how engineering teams operatePassion for mentoring and leading engineers while remaining hands-onNice to have: Conversational AI / Voice AI experience and frontend development experience.The technology: Python | Next.js | PostgreSQL | Azure | Inngest | Twilio | TelnyxYou'll be working on voice and SMS AI agents that generate significant revenue for home improvement businesses — with a vision to build an operating system for the industry.The technical challenges include latency-critical distributed systems, massive call volume, self-improving AI agents, real-time experimentation, and scaling the platform rapidly.Interview Process1️⃣ 30-minute conversation with the CTO2️⃣ Whiteboard system design — based on a real production problem3️⃣ PR review interview