Engineering Lead, AI Product

Job description

Hi, we’re The Browser Company 👋 and we’re building a better way to use the internet.

Browsers are unique in that they are one of the only pieces of software that you share with your parents as well as your kids. Which makes sense, they’re our doorway to the most important things — through them we socialize with loved ones, work on our passion projects, and explore our curiosities. But on their own, they don’t actually do a whole lot, they’re kind of just there. They don’t help us organize our messy lives or make it easier to compose our ideas. We believe that the browser could do so much more — it can empower and support the amazing things we do on the internet. That’s why we’re building one: a browser that can help us grow, create, and stay curious.

To accomplish this lofty task, we’re building a diverse team of people from different backgrounds and experiences. This isn’t optional, it’s crucial to our mission, as we need a wide range of perspectives to challenge our assumptions and shape our browser through a bold, creative lens. With that in mind, we especially encourage women, people of color, and others from historically marginalized groups to apply.

About The Role

As a technical leader at The Browser Company, you’ll be instrumental in our team’s ability to design and ship novel LLM-powered features that redefine how people use the internet. You’ll transform ambiguous goals into elegant solutions, helping your team of ML and Product Engineers set new standards for browser-based AI as we launch Dia.

We’re looking for someone who is product-minded, deeply curious, and excited to build with LLMs. In this role, you’ll help define how we build software in 2025—not through traditional UI or API layers, but through prompts, evals, hill-climbing, and fast feedback loops grounded in real usage. You’ll apply the latest learnings and models to enhance our product use cases, set technical direction, evolve our architecture, and invent new ways of building AI products — ways that are fast, flexible, and grounded in user experience.

Overall you will…

• 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.

After 1 month you will…

• Get onboarded onto the team and codebase with an onboarding buddy

• Work side-by-side with other engineers on the team, fixing bugs and shipping code improvements to production

• Attend onboarding presentations about the company, product, codebase, and culture

• Get familiar with Chromium, Swift and our development environment across Mac, Windows, iOS, and Android.

• Get familiar with how we build AI-powered products, and our prompting tools, evals infrastructure, and fine-tuning stack

• Pair program with a other engineers and get familiar with the pace and cadence at which we ship

• Be regularly posting feedback about using Dia in our #dogfooding channel

After 3 months you will…

• Have worked on several medium to large sized AI-powered projects across the codebase

• Have a crisp understanding of how Dia’s assistant works, the various models involved, how we maintain quality, and how we improve the assistant’s capabilities

• Regularly attend weekly engineering discussions about our architecture, how we do code review, code style, and more

• Participate in product brainstorms to think about the future of Dia and its assistant

• Be contributing to on-call rotations and jumping into incidents to support the team

• Become the point of contact for bugs and product iterations of a core product surface area

• Have built out mechanisms to assess quality and performance, and be working with product teams to improve the efficacy of our models and heuristics

After 6 months you will…

• Collaborate with our CTO, managers, and other technical leads to shape the product roadmap for Dia’s assistant, working on features like personalization and memory and Dia’s agentic features

• Have proactively shared prototypes and technical approaches for quickly exploring new product ideas

• Be interview trained and interviewing candidates for roles at the Browser Company

• Be familiar with some C++ and how we interact with the underlying browser engine

• Have proactively improved and suggested engineering-wide processes and architecture with an eye towards performance, stability, and maintainability

• Be leading projects from idea to launch, taking full ownership of the development lifecycle

• Be mentoring and pair programming with newer engineers to help them ramp onto the codebase

Qualifications

• 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

Compensation and Benefits

💰 With our flexible compensation model, employees have the ability to choose the cash-to-equity ratio that best suits their individual needs. Every offer we extend includes three options: a salary-optimized offer, an equity-optimized offer, and a balanced offer.

The annual salary range for this role is $250,000-$310,000 USD. The actual salary range offered will vary based on experience level and interview performance.

🧘🏻‍♀️ In addition to a competitive salary and equity package, we provide every employee with the following 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

The Browser Company is a well-funded, ambitious startup of close to 100 people (and growing!) who are passionate about building great products. We are a remote-first, distributed team, with the option to work from office in Brooklyn, New York. We strongly support diversity and encourage people from all backgrounds to apply.

🚙 To read more about what we value as a company, check out Notes on Roadtrips on our blog.