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Context Engineer

đź•’ June 29

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PostHog

11 - 50 employees

Founded 2020

đź’Ľ Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

PostHog is a comprehensive platform that empowers developers to build successful products by providing tools for product analytics, web analytics, session replay, feature flags, experiments, and surveys. It integrates seamlessly into existing workflows, offering data pipelines and warehousing solutions that synchronize with popular platforms like Stripe, Hubspot, Zendesk, and more. With PostHog, teams can safely roll out new features, run experiments with statistical significance, and gather in-depth insights with AI and LLM products. The platform is built with full API access, enabling complete control over customer data. PostHog scales with businesses from startups to growth stages, making it a versatile tool for engineering teams seeking to streamline their data operations while focusing on product development.

đź“‹ Description

• Make technologies explainable and legible to humans and agents • Maintain and design knowledge bases • Engineer and orchestrate context pipelines • Build and ship agents powered by context systems • Work on the AI Wizard, an AI onboarding agent for PostHog users • Build custom agents, harnesses, skills, context pipelines, and MCPs for production • Build developer documentation and knowledge-base systems using docs-as-code and AI engineering techniques • Create technical content through documentation, example apps, and video explainers • Create publishing workflows for streams such as the changelog • Work with other teams so they can build on the systems • Switch between prose and code while creating content for humans and context for agents

🎯 Requirements

• Software development experience; formal experience is not required, but production-code experience is required • Proficiency with LLMs, coding agents, MCPs, and current AI engineering tools • Portfolio of technical content, such as a personal website, GitHub profile, YouTube channel, or other work samples • Excellent writing and communication skills • Experience creating educational content for developers • Opinionated perspective on what makes great documentation for humans and AI • Full-stack software development experience through full-time roles, side projects, or open source • Ability to build production services, ship pull requests across codebases and infrastructure, manage a support queue, and participate in code review • Experience building on top of LLMs • Strong understanding and opinions regarding context windows, harnesses, and coding agents • Ability to work laterally across writing documentation, information architecture, diagrams, agents, and CI/CD pipelines • Ability to work reactively, iterate quickly, and ship pull requests as priorities change

🏖️ Benefits

• Remote work • Async communication and meeting-free days on Tuesdays and Thursdays • Heads-down building time prioritized over perfect coordination • Application limits and re-application rules for this role

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