Technical Lead / Engineering Manager - Product Engineering (San Francisco)

Tech Lead / Engineering Manager - Product Engineering (San Francisco)

***On-site in San Francisco, If not, must willing to relocate. Open to visa transfers.

This is for a cutting-edge AI startup with $70M+ in funding and a differentiated approach to building and owning proprietary data assets. We're looking for a hands-on product engineering leader with 5–10 years of full-stack experience who is comfortable writing code regularly. You should have shipped zero-to-one, user-facing products and built scalable, data-intensive systems , ideally at a high-growth startup. This is 5 days/week on-site in San Francisco , so you must be local or willing to relocate. 2+ years of engineering management or founder/early-stage startup experience is highly desired.

Comp: $250K–$300K base + competitive equity

Stack: Next.js, TypeScript, PostgreSQL

🛠️ You will:

• Lead, hire, and grow a high-performing product engineering team.
• Work closely with senior technical leadership on architecture and product execution.
• Build new customer-facing products from the ground up.
• Design and scale systems handling large volumes of complex data.
• Stay hands-on with code while setting the technical direction for the team.

🧩 100% Required:

• 5–10 years of product-focused full-stack engineering experience.
• Technical leadership experience within a high-growth startup or scale-up.
• Strong full-stack and backend fundamentals with modern web technologies.
• Proven experience taking user-facing products from 0→1.
• Experience building high-scale, data-intensive systems or pipelines.
• Comfortable leading engineers while remaining highly hands-on technically.

🪶 Other Skills:

• 2+ years of Engineering Management experience.
• Former founder or early employee at a successful startup.
• Experience growing engineering teams in fast-moving environments.
• Python and AI/ML experience.

🧬 How The Company Works

• Hyper-growth – a rapidly scaling team with strong early commercial traction.
• High-caliber customers – technology is used by some of the world's leading technology and AI organizations.
• Well-funded
• Fast-moving – engineers own projects end-to-end and ship frequently.
• Technically ambitious – solving difficult product and data problems at significant scale.
• High ownership – work closely with technical leadership and help shape the engineering organization.