Context Engineer

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PostHog

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2020

💼 Conseil

📣 Marketing

📦 Logistique

Consulting • Marketing • Logistics

PostHog est une plateforme complète qui permet aux développeurs de créer des produits réussis grâce à des outils pour l'analyse de produits, l'analyse web, la relecture de session, les feature flags, les expérimentations et les sondages. Elle s'intègre parfaitement dans les flux de travail existants, offrant des solutions de pipelines de données et de stockage qui se synchronisent avec des plateformes populaires comme Stripe, Hubspot, Zendesk, et bien d'autres. Avec PostHog, les équipes peuvent déployer en toute sécurité de nouvelles fonctionnalités, réaliser des expériences avec une signification statistique, et recueillir des insights approfondis grâce à des produits IA et LLM. La plateforme est construite avec un accès complet à l'API, permettant un contrôle total sur les données des clients. PostHog évolue avec les entreprises, des startups aux stades de croissance, en faisant un outil polyvalent pour les équipes d'ingénierie cherchant à rationaliser leurs opérations de données tout en se concentrant sur le développement de produits.

Description

• 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 • Working on our AI Wizard, an AI agent that onboards thousands of users to PostHog • Building custom agents, harnesses, skills, context pipelines, and MCPs and shipping them to production • Building systems to maintain our developer docs and knowledge bases using docs-as-code and AI engineering techniques • Creating technical content across multiple mediums like docs, example apps, or video explainers • Creating workflows for publishing streams like the changelog • Working with other teams so they can build on top of our systems

🎯 Exigences

• Software development experience. It doesn’t have to be formal, but you'll be writing production code, not just code samples • Proficiency working with LLMs, coding agents, MCPs, and the latest AI engineering tools • A portfolio of technical content (personal website, GitHub profile, YouTube channel, zip file, etc.) • Excellent writing and communication skills • Experience creating educational content for developers • An opinionated take on what makes great docs for humans and AI.

🏖️ Avantages

• 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. • Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient groups of cracked engineers who can outship much larger companies because they own their products end-to-end. • 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.