Engineering Lead, AI Product

Summary

Join The Browser Company and become a technical leader, instrumental in designing and shipping novel LLM-powered features for a new browser. Transform ambiguous goals into elegant solutions, helping a team of ML and Product Engineers set new standards for browser-based AI. Help define how software is built in 2025 using prompts, evals, hill-climbing, and fast feedback loops. Apply the latest learnings and models to enhance product use cases, set technical direction, evolve architecture, and invent new ways of building AI products. Lead, architect, and execute LLM-powered features; support and mentor a team; experiment with and integrate the latest ML and AI models; collaborate with various teams; and proactively improve engineering processes and architecture. The role requires a product-minded approach, ensuring every technical decision is grounded in user impact and business value.

Requirements

• 8+ years of experience building and leading high-craft software products, with a strong background in shipping user-facing products or developing ML features from 0 to 1
• You have hands-on experience building with LLMs, an understanding of how they work, and a genuine curiosity to go deep on the technology
• You have a strong track record of coaching and mentoring software engineers—prior direct experience with ML teams is not required, but you should be able to bridge disciplines
• You’re experienced in solving ambiguous problems and have successfully owned complex technical initiatives and projects that have had an outsized impact on a business
• You’re pragmatic, motivated by nebulous problems, and excited to work in a startup environment with quick product validation cycles
• Most of our team is based in North American time zones and require that folks have 4+ hours of overlap time with team members in Eastern Time Zone
• You resonate with our company values and can continue to scale your team with these in mind

Responsibilities

• Lead, architect, and execute LLM-powered features across our products
• Support and mentor a talented team of product and machine learning engineers, helping them grow both technically and with a product mindset through fast iteration cycles
• Experiment with and integrate the latest ML and AI models, fine-tuning them for specific use cases while balancing quality, speed, and resource constraints
• Collaborate closely with Design, Membership, Data, and our Leadership teams to brainstorm, prototype, and launch new AI-powered features that enhance user experience
• Proactively improve, identify and implement engineering-wide processes and architecture with an eye towards performance, stability, and maintainability
• Champion a product-minded approach, ensuring every technical decision is grounded in user impact and business value
• Sweat the small stuff to deliver high-craft, industry-leading, interaction-rich user experiences which set the bar for what's possible

Benefits

• Comprehensive benefits package with employee medical, dental, and vision. We cover 100% of premiums for employees, 95% for dependents
• 401k plan
• Flexible vacation policy: on average, our team members take between 15-20 vacation days plus federal holidays (holidays vary by location)
• Remote-friendly working environment - our core working hours are 11 AM-2 PM Eastern Time Monday-Friday
• 12 weeks of paid parental leave
• $1,500 USD home office stipend
• Employees based in the US also receive additional services like free annual memberships to One Medical (where available), Talkspace, Teladoc, and HealthAdvocate