Tech Lead / Engineering Manager

AI Talent Now; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

AI Talent Now is seeking an Engineering Manager with 6+ years of product-focused engineering experience to lead and grow our engineering team in San Francisco. You will partner with the CTO to set technical direction, ship core products powering our audio data research platform, and build a high-performing team at a fast-growing AI infrastructure company.

You will hire, mentor, and scale the team, architect scalable data pipelines, and deliver data-driven insights for researchers daily.

Qualifications

• 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.
• BS in Computer Science from a top school or equivalent.

Responsibilities

• 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.

Skills

Product-focused engineering

Web development fundamentals

Lead technical teams

Shipping zero-to-one products

Ambiguity solving

Action-oriented execution

Education

BS in Computer Science

Job description

San Francisco, United States | Posted on 09/03/2026

AI Talent Now, LLC is a powerhouse in direct-hire talent acquisition, connecting exceptional talent with industry-leading organizations across IT, Engineering, Financial Services & Fintech, and Manufacturing & Robotics. Headquartered in Atlanta, Georgia, we proudly serve clients and candidates nationwide.

Job Description

AI Talent Now Job ZR 105

We are looking for an Engineering Manager with 6+ years of product-focused engineering experience to lead and grow ourengineering team. 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
  

Requirements

Dealbreaker

Led engineering teams through rapid growth at high-growth startups

Education:

BS in Computer Sciencefrom Top 20 School

Updated

Baseline

Seniority:

5 - 10 years of experience in product-focused full-stack engineering

Shipped zero-to-one products end-to‑…with data‑intensive pipelines at scale

Track record of shipping user-facing product features, not just backend systems

Nice-to-have

2+ years of engineering management experience

Former founder or early employee at a startup

Familiarity with AI/ML or audio/speech processing