Model Behavior, Product

The Browser Company

12d•$200,000 - $275,000•Hybrid

About The Position

At The Browser Company, you will play a crucial role in shaping how Dia interacts with users. This is a hands-on role at the intersection of product and AI engineering: you will define Dia’s intended behavior, ship prompt and code changes that deliver it, and own evals that measure quality and cost. The work spans the full stack of modern AI product development: prompting, tools, model selection, agent harnesses, and evaluation systems. You'll report to our Model Behavior Lead and work closely with engineering and product. You'll have high impact and own problems end to end: understanding what users need, deciding the right approach, shipping the change, and proving it worked.

Requirements

4+ years of experience in product, design, or adjacent builder roles.
Hands-on experience taking a product from concept to its initial release (v1).
You think in systems. You can take an ambiguous problem, break it into something measurable, and design the evals to steer it. You can navigate when to decide on a short improvement fix versus investing in systematic fixes.
You work inside AI tools daily. Codex, Claude Code, or Cursor are core parts of your workflow, and you can articulate the reasoning behind your tooling choices. You try new models and harnesses as they ship, and fold what works into how you build.
You want to be an IC. This is a hands-on role where you'll be in the prompts, code, and data yourself. You will put up multiple PRs weekly.
We’re primarily focused on hiring in North American time zones and require that folks have 4+ hours of overlap time with team members in Eastern Time Zone.

Nice To Haves

Previous experience as a founder is a plus.

Responsibilities

Shape Dia's AI experience. Figure out what the right behavior is for users, then find the best path to it — a prompt change, a new tool, a different model or harness, better evals, or a spec that aligns the team.
Ship every week. This is a hands-on role: you'll be in the prompts, the code, and the data yourself, making changes that reach users continuously.
Improve systematically. Ground your work in evals that make quality trackable, so improvements hold up over time and the team can raise the bar faster with every iteration.
Build the tools that make us faster. Spot where the team's workflow is slow or manual and partner with engineering (or build it yourself) to create the internal tooling that lets us iterate at scale.
Keep us at the frontier. AI moves fast, and Dia has to move with it. You'll test new models as they ship, evaluate new harnesses, and prototype AI architecture strategies and push the ones that matter into how we build.