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Plexe

Founding Engineer

Salary$120k – $200k
LocationSan Francisco, CA, US
Work modeon-site
Typefull-time
EquityIncluded
Company size11+ people
First seen1w ago
Last seen1w ago
Founding Engineer at Manicule(P26)
Benefits
$120K - $200K • 0.50% - 1.00%
About the company
AgentRel — Devrel For Agents
San Francisco, CA, USFull-timeWill sponsor3+ yearsTypeScript
Legal
Apply now
About Manicule
Manicule is trying to solve a problem most people have given up on: getting AI to write well.
Everyone can get a model to produce words, but it feels so empty. Almost no one can get it to produce writing with a point of view, a logically sound structure, and a unique tone.
We want to solve these problems at scale. That means turning the judgment of strong writers into something repeatable that an AI can actually run on. Part of the work is engineering: prompts, evals, the harness around them. Part of it is editorial taste. Most of the work is experimentation, because nobody has the answers yet, and the frontier moves every few weeks.
We also think the audience for writing is changing. More and more, what we produce is read by agents as much as by people, and we’re already working on catering to them.
We’re small, we hire rarely, and people stay. If the idea of teaching a machine to write the way you’d want to read excites you more than it worries you, we should talk.
About the role
Manicule is building AgentRel: the systems that help companies become discoverable, cited, and recommended by AI agents.
For the last twenty years, companies optimized for people searching Google. The next interface is an agent answering a question, comparing products, or deciding what to recommend. We want to understand how those decisions happen and build the infrastructure companies need to influence them honestly.
That means solving two hard problems.
1.
First: how does an LLM decide which content to retrieve, trust, cite, and use when recommending a company?
2.
Second: how do we use AI to produce excellent technical content without filling the internet with slop
Ideally, you write excellent TypeScript, but you also understand the fundamentals of GEO—or have spent enough time studying LLMs to form a view on how they surface sources and recommend brands. You care about writing quality and can tell the difference between a useful technical explanation and fluent filler.
This is not a role where you receive finished specs and close tickets. You’ll work directly with our customers to understand the problem, decide what to build, and own it through production.
What you’ll do
•
Build the systems behind our documentation, technical content, and agent workflows.
•
Investigate how LLMs retrieve information, select sources, form recommendations, and cite brands. Lots of fun research to be done here.
•
Turn editorial judgment into agent workflows, evaluations, and quality checks.
•
Design how agents receive, retain, and use context across long-running jobs.
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Work directly with founders, engineers, and DevRel teams at our customers.
•
Own projects from the first customer conversation through production.
Who we’re looking for
•
You have 3+ years of professional software-engineering experience.
•
You’re excellent with TypeScript and comfortable working across a product.
•
You have opinions on GEO and how LLMs discover and surface information.
•
You have strong opinions about what makes technical content useful, credible, and worth reading.
•
You build with agents yourself and think seriously about context, retrieval, evaluation, and human review.
•
You can operate without a detailed specification and know when to ask questions.
•
You want to talk to customers instead of treating customer context as someone else’s job.
•
You have obsessive attention to detail.
Your first 30 days
Probably the highest thing on my list is building an extremely durable and powerful context system.
Our agents need to gather context from dozens of sources, from a company’s Slack and Linear to GitHub and its docs, and use it to produce amazing work on the first try. These sources contain huge amounts of noisy, constantly changing information. You’d build, eval, and improve this production infrastructure.
Bonus points if you’ve worked in context management before.
Why now
We’re growing very fast - went from 0 to $30K MRR in 2 months (yes, actual real revenue). You’ll be early enough to have meaningful contribution to the actual product direction and lots of autonomy.
Also, we’re 2 chill young cofounders. You’ll like working with us.
Details
•
In person in San Francisco; remote may be possible during your first month.
•
Breakfast, lunch, and dinner at the office.
•
Medical, dental, and vision insurance.
•
Unlimited GPT and Claude, including Fable.
Technology
Stack: TypeScript top to bottom. Next.js 16 + React 19 on the front, Hono + Postgres + Drizzle on the back, all on Vercel. Vercel AI SDK + Claude, durable agent workflows running in sandboxes, and our own eval harness for measuring whether the writing is actually any good. Bun, Turborepo, Biome, Vitest, Playwright. Composio wires the agents into GitHub, Slack, Linear, X, and more.
Hiring process
Interview Process
First call
trial
work!
Apply now
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