Source description
About the role
Confident AI
The LLM Eval and Observability Platform for AI Quality
Founding Product Engineer (Frontend)
$175 - $250•0.50% - 1.50%•San Francisco, CA, US
Job type
Full-time
Role
Engineering, Frontend
Experience
3+ years
Visa
US citizen/visa only
Connect directly with founders of the best YC-funded startups.
Jeffrey Ip
CEO & Cofounder
Jeffrey Ip
CEO & Cofounder
About the role
Overview
Confident AI is building the infrastructure that makes AI trustworthy. Engineering teams spend hours a day inside our platform looking at traces, evals, and test results — the frontend isn't a layer on top of the product. It is the product.
We're hiring a Founding Product Engineer to own that product end-to-end. You'll talk to users, decide what gets built, design the UI yourself, and ship it — from the component layer down to the API routes that power it. No PM writing specs, no designer handing you mocks.
As a founding engineer, the quality bar you set and the interfaces you ship will be the reason engineering teams choose us over the alternatives.
What you'll be doing
- Own user-facing features from product decision to design to shipped code. You make the design calls — there are no Figma files waiting for you.
- Build data-dense, fast, polished interfaces for traces, evaluation results, and testing workflows — the screens our users live in every day.
- Talk to users, understand their workflows, and turn what you learn into product decisions. You're the engineer in the room closest to the customer.
- Work across the stack. Most of your time is in the frontend, but you'll write the API routes, queries, and server logic your features need without waiting on anyone.
- Architect the frontend to last — the components, state management, and patterns you establish need to hold up as the product and team grow around them.
- Set the standard for product quality and user experience that every engineer we hire after you builds to.
You should be someone who
- 3+ years building production web applications, ideally at a fast-moving product company or startup.
- Deep proficiency with React, Next.js, TypeScript, and CSS. You don't reach for a UI library because you can't write the styles yourself — you reach for one when it's the right call.
- A genuine eye for design. You notice when spacing is off by 2px, you have opinions on motion and hierarchy, and you can take a feature from idea to polished UI without a designer.
- You understand frontend at scale — rendering performance, state management, data fetching, and architecture that doesn't collapse as the product grows.
- Enough backend fluency to move fast — databases, APIs, caching, auth. You won't be scaling them, but you build against them confidently.
- Fluent with AI coding tools like Claude Code and Cursor as part of your daily workflow. At our size, every engineer operates at a multiplied level.
- You think in user experiences, not components. The question you ask is 'what should this feel like to use,' not 'what props does this take.'
- High-agency and comfortable with ambiguity. We're seed-stage — you identify what matters, make a plan, and ship.
Your work will
- Be the reason our platform feels like the best product in AI infrastructure, not just the most capable one.
- Own the user experiences that engineering teams interact with for hours every day.
- Set the product engineering bar the rest of the team builds to as we scale from seed to market leader.
By joining us, you will
- Full ownership: you decide what gets built and how it feels, and you ship it yourself.
- A seat at the table: direct access to the founding team at the stage where every product decision compounds.
- The problem: you'll work on what makes all other AI work trustworthy. The impact ceiling is massive.
About the interview
The entire process is usually fully remote and all communication happens over email or via video chat in Google Meet. We know that you may be interviewing elsewhere as well so are respectful of your time and will get back no later than 2 days of each step along the process.
The entire process has 4 steps and takes around 1.5 weeks in total:
- Initial 15-30 minute phone screening interview.
- One 30-45 minute technical interview.
- One week fully-paid work trial.
- Full-time offer.
No hires will be made without a work trial. You'll be working with the founders directly throughout the entire process. For any questions, email hiring@confident-ai.com.
About Confident AI
Confident AI is the leading LLM evaluation platform that helps teams evaluate, test, benchmark, optimize, monitor, and red-team LLM applications. Powered by DeepEval, the go-to LLM evaluation framework with over 600k monthly downloads, 5.3k GitHub stars, and over 40 million evaluations conducted, Confident AI is trusted by hundreds of companies from leading startups to international corporations.
Founded:2024
Batch:W25
Team Size:7
Status:
Active
Location:San Francisco
Company websiteLinkedIn profile
Founders
Jeffrey Ip
CEO & Cofounder
Jeffrey Ip
CEO & Cofounder
Kritin Vongthongsri
Co-Founder
Kritin Vongthongsri
Co-Founder
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