# Product Engineer at Usekernel

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Ausekernel%3Ade8e7bf8-9ce7-4c4f-9d25-a9ceb831f4b1 (read 2026-11-10).

## Facts (observed)

- Company: [Usekernel](https://alderhq.app/companies/usekernel)
- Location text: San Francisco; New York; Seattle; Cincinnati
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco; New York; Seattle; Cincinnati")
- Posted: 2026-02-27 (255 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/usekernel/de8e7bf8-9ce7-4c4f-9d25-a9ceb831f4b1
- Skills listed (inferred): LLMs

## Pay and sponsorship

- Posted pay: $175k–$250k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 1752): p25 $161k, median $200k, p75 $239k

## Description (the employer's text)

### About Kernel

Kernel is crazy fast, open source browser infrastructure for AI agents. We handle autoscaling, observability, and the messy details of web interaction, so developers can focus on what their agents do instead of how they do it.

Teams at Cash App, Rye, and 3000+ others use Kernel for deep research, QA automation, and real-time web analysis. We've raised $22M from Accel, YC, and Vercel.

If you're interested in building critical infrastructure for agents on the web, we'd love to chat.

### About the role

Product Engineers at Kernel are full-stack engineers who think about the product as much as the code. You know how to translate your strong product instincts into code, from pixel-level UI decisions to backend API design. You don't wait for a spec, you help write it.

You'll work closely with our co-founders to set product direction, ship full-stack features end-to-end, and make Kernel feel as polished as it is powerful.

### What you’ll do

Own customer outcomes and product metrics

Execute the full-stack implementation of user-facing product surfaces, including our core product and new product lines

Shape the product roadmap by synthesizing customer feedback, usage patterns, and your own instincts about what developers need

Drive DX improvements across our SDK, docs, CLI, and API. The kind of details that make developers say "this just works"

Ship fast and iterate, from prototype to production with minimal hand-holding

Help define what it means to build a great developer product at Kernel

### What we're looking for

You're driven by customer outcomes: you're empathetic to customers, naturally inclined to help them succeed in their goals through KERNEL, and obsessed with metrics that matter to them

You ship end-to-end: you're comfortable owning a feature from frontend to backend and getting it across the finish line

You have product taste: you've thought hard about what makes developer tools feel magical vs. frustrating, and that thinking shows up in your work

Startup experience: you've built fast, worn multiple hats, and figured things out without a playbook

You build for developers deploying agents into the real world

You have strong opinions about devEx and API design, and you know how to back them up with shipped work

### What you can expect as a Kernel

Industry-competitive salary

Above market equity

Premium medical + dental coverage + dependent coverage

Small, trusting team of senior + staff engineers

Default async with minimal bureaucracy, only two meetings a week

$1k / mo budget for LLM usage fees #vibecheck

Daily lunches on us

Unlimited PTO

401k + company match

Relocation assistance

### Hiring process

We have a simple process focused on real world collaboration and jointly getting to know each other:

30-minute intro call with one of Kernel’s co-founders

45-minute technical interview (virtual)

Half-day on-site (virtual or in-person) working with our team on relevant challenges.

Offer!​

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Ausekernel%3Ade8e7bf8-9ce7-4c4f-9d25-a9ceb831f4b1 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.