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Usekernel

Solutions Engineer

San Francisco; New York; CincinnatiOnsite · United States
FullTime · Engineering
POSTED 8 SEPTVERIFIED 1D AGO
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Role
62 days opentrue age
Posted 8 Sept
Payats field
$200k–235kposted
▲ +9% vs market median $200k
$161k$239k
Market p25–p75
$161k–$239k
SF Bay Area · n=1752 · 365d to 6 Nov
CompanyUsekernel →
10open roles
Opened · 30d
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Closed · 30d
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Market
37,603open · Software engineering
Opened · 7d
+2,0415% of open
All software engineering
75,132open
All tracked boards · live 9 Nov · n=37,603
LLMsDistributed systemsTesting

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 5000+ 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

You'll carry a technical sales motion end-to-end: running discovery, architecting solutions, and seeing customers through to production. That means you're as comfortable in a sales conversation as you are in a terminal. You'll work closely with our founders on strategic deals, help developers understand what's possible with Kernel, and design the systems that make our customers successful.

This role sits at the intersection of sales, engineering, and product. You'll influence Kernel's roadmap through direct customer feedback, serve as the primary technical point of contact for strategic accounts, and make sure customers go from demo to production without getting stuck.

What you'll do

Own the technical sales motion alongside our founders: discovery, demos, solution design, and closing

Architect customers' production systems: CUA agents, browser automations, web agents, and everything in between—helping them think through system design, concurrency, observability, and failure modes

Debug integration issues across our SDK, MCP server, browser automation edge cases, and customer code

Champion customer requirements internally and collaborate with engineering to close gaps between current functionality and what customers need next

Contribute to technical content like integration guides

What we're looking for

5+ years in a technical customer-facing role: solutions engineer, sales engineer, solutions architect, or similar

Strong engineering foundation—you can read and write code, dig into SDK internals, and hold your own in a technical conversation with a senior engineer

Track record of owning a technical sales motion

Comfortable translating between technical and non-technical audiences without losing precision in either direction

Love creating demos that help developers understand what’s possible with Kernel

Experience driving complex, cross-functional deals and projects from first call to go-live

High tolerance for ambiguity—many of our customers are building things that don't have a playbook yet

Experience building with AI agents, MCP servers, or LLM-integrated workflows

Even better

Familiarity with browser automation or agent infrastructure (Playwright, CDP, headless browsers)

Prior experience at a developer infrastructure or API-first company

Experience working on deals with enterprise customers

You've shipped something public: OSS, a demo, a tool—anything that shows you build, not just advise

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

$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 onsite interview (in-person preferred) working with our team on relevant challenges.

Offer!

Source · UsekernelFirst seen 7 NovOriginal ↗