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QUORE IT : Talent Sourcing & Recruitment

Technical Lead

san francisco, CA

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Job description

Hiring: Tech Lead | San Francisco | Hybrid

Compensation: Up to $260K base + equity

Equity: 0.5-1.0%

Why 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 doing

Lead and mentor a team of 4+ engineers

Own architectural and technical decisions for highly scalable, latency-critical systems

Drive engineering best practices, processes, and team execution

Prioritize technical work around business objectives

Stay hands-on and contribute ~20-30% of your time to the codebase

Help scale the engineering organization as the company grows

Build systems capable of handling millions of voice calls per month while maintaining sub-second latency

What we're looking for

Recent Staff Engineer / Technical Lead / Team Lead experience with strong technical ownership

Deep expertise in backend, cloud engineering, and distributed systems

Experience building products at meaningful scale with demanding reliability, performance, or real-time requirements

Proven ability to make architectural decisions and influence how engineering teams operate

Passion for mentoring and leading engineers while remaining hands-on

Nice to have: Conversational AI / Voice AI experience and frontend development experience.

The technology: Python | Next.js | PostgreSQL | Azure | Inngest | Twilio | Telnyx

You'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 Process

1 30-minute conversation with the CTO

2 Whiteboard system design - based on a real production problem

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Worksite address

san francisco, CA, 94199, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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