Tech Lead Manager (Full Stack)

The Opportunity:

Our client, a category-defining AI platform company based in the San Francisco Bay Area, is seeking a Tech Lead Manager (Full Stack),to lead a high-impact team building the next generation of AI-powered product experiences.

In this hands-on role, you'll guide a team building core product capabilities and foundational infrastructure, while also designing elegant abstractions that enable multiple teams to safely and efficiently contribute to generative AI features. This is a rare opportunity to influence product direction, architecture, and team culture while working on one of the most exciting applied AI products in the market.

What You'll Be Doing:

• Lead, grow, and inspire a high-performing full-stack engineering team, fostering a culture of inclusion, excellence, and ownership.
• Remain hands-on in the codebase, contributing to system design and implementation of critical features.
• Set and communicate a clear technical vision across a broad and evolving problem space.
• Partner closely with Product, Design, and Data Science to ship world-class AI Assistant experiences.
• Drive execution across both product features and foundational platform capabilities in a fast-paced environment.
• Architect scalable abstractions and frameworks that make it easy for other teams to build generative AI functionality.
• Own hiring efforts including headcount planning, interview process iteration, and closing top-tier candidates.
• Coach and mentor engineers at all levels, supporting performance, growth, and career progression.

What You'll Need To Be Successful:

• 8+ years of professional software engineering experience, including 1-2 years in an engineering management or tech lead manager role.
• Demonstrated experience building high-quality, user-facing web products across the full stack (frontend, APIs, backend).
• Strong people leadership capabilities with a proven ability to recruit, organize, and motivate teams.
• Passion for developing others and building healthy, collaborative engineering cultures.
• Product-focused, owner mindset with deep care for customer impact and craftsmanship.
• Experience with modern web and cloud technologies such as React, TypeScript, Golang, SQL, GCP, and/or AWS.
• Experience with, or strong interest in learning, large language models, retrieval-augmented generation (RAG), and AI agents.???????

Compensation Range: $240,000 - $325,00 + Equity.