Developer who loves teaching

Rozgoo; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

PostHog seeks a Context Engineer on the Docs & Wizard team to bridge human language and AI agents. You will craft explanations, maintain knowledge bases, and design context pipelines that power our agents.

You will switch between prose and code, teaching and coding with equal fluency, shaping content for humans and machines, and building scalable AI-driven documentation tooling.

Qualifications

• Specifically, we’re looking for people who: Excel at teaching and communication. You’re great at educating people by explaining technology in a hands-on and illustrative way.
• Have real development chops. You have full-stack software development experience either in full-time roles, side projects, open source, whatever.
• Are multidisciplinary. You think laterally and enjoy approaching problems from different angles, switching hats as the work demands.

Responsibilities

• Make technologies explainable and legible to both humans and agents
• Maintain and design knowledge bases
• Engineer and orchestrate context pipelines
• Build and ship agents powered by the above

Job description

About PostHog

Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all - autonomously. We started with open-source product analytics, launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products , including: PostHog Code , the only AI devtool that understands your product, not just your codebase. A built-in data warehouse , so users can query product and customer data together using custom SQL insights. PostHog AI , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. We are: Product-led . More than 450,000 organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible .

Things we care about

Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans so everyone has the context they need to make good decisions. Autonomy: We don't tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed.

Time for building

Nothing gets shipped in a meeting. We're a natively remote company. We default to async communication - PRs > Issues > Slack. Tuesdays and Thursdays are meeting-free days , and we prioritize heads down building time over perfect coordination. This will be the most productive job you've ever had.

Ambition

We want to solve big problems. We strongly believe that aiming for the best possible upside, and sometimes missing, is better than never trying. We're optimistic about what's possible and our ability to get there.

Being weird

Weird means redesigning an already world-class website for the 5th time. It means shipping literally every product that relates to customer data. It means building an objectively unnecessary developer toy with dubious shareholder value. Doing weird stuff is a competitive advantage. And it's fun.

Who we're looking for

This role combines technical content and AI engineering. You'd be a Context Engineer on the Docs & Wizard team.

Your primary responsibilities:

• Make technologies explainable and legible to both humans and agents


• Maintain and design knowledge bases


• Engineer and orchestrate context pipelines


• Build and ship agents powered by the above

You’ll spend your days switching between prose and code - often in the same hour. You’ll create content for humans and context for agents, and the line between those two audiences is disappearing fast. The work is inherently multidisciplinary. From our experience, the people who are good at context engineering tend to be natural teachers or strong writers who can code at a high level. There's more liberal arts to building robots than you might expect.

Specifically, we’re looking for people who:

• Excel at teaching and communication. You're great at educating people by explaining technology in a hands-on and illustrative way. Your preferred medium might be writing, building apps, making visuals, or recording video. Whatever it is, you can take a complex system, teach it clearly, and then build it.


• Have real development chops. You have full-stack software development experience either in full-time roles, side projects, open source, whatever. We welcome all backgrounds, but the technical bar is high. We run production services, ship PRs across multiple codebases and infrastructure, manage a support queue, and get tagged by engineers for code review.


• Are multidisciplinary. You think laterally and enjoy approaching problems from different angles, switching hats as the work demands: writing docs, shipping code, organizing IA, creating diagrams, building agents or CI/CD pipelines. You're looking for a role that lets you flex all these muscles, where a wide skillset is valued. Think in systems. You w