Tech Lead/Engineering Manager (EM)

Location
San Francisco
Workplace
On-site
Compensation
$250k – $300k + equity
Visa
Visa Sponsorship Available

About this role

We are looking for an Engineering Manager with 6+ years of product-focused engineering experience to lead and grow the engineering team at David AI. You'll partner closely with the CTO to drive technical direction, ship core products powering our audio data research platform, and build a high-performing team at one of the fastest-growing AI infrastructure companies.

What will you be doing?

Hire, structure, and mentor the engineering team while setting and upholding high performance standards

Scope and ship new products enabling researchers to leverage high-quality audio data and develop novel insights

Build scalable data processing pipelines that extract actionable insights from terabytes of audio data daily

Architect systems to 100× capacity for collecting, curating, and delivering data to leading speech model teams

Partner with the CTO to drive technical direction and execute against an ambitious product roadmap

Key Requirements

6+ years of product-focused engineering experience with strong web development fundamentals

Experience leading technical teams through rapid growth phases at high-growth startups or scale-ups

Track record of shipping products from zero-to-one and scaling them in fast-paced environments

Comfort solving ambiguous, unsolved problems with tangible customer impact

Bias towards action with detail-oriented execution; former founders or 2+ years of EM experience a plus

What happens next

Skip the application pile. I get you in front of the people who decide.

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

A meeting lands on your calendar

When the company wants to meet, I get the call on your calendar. You just show up.

Culture & values

Team is sharp, humble, ambitious, and tight-knit

Lean team that met while working at Scale AI

Obsess over execution

Bring an R&D approach to work with same rigor as AI labs

Looking for the best research, engineering, product, and operations minds

Know someone who'd be great for this?