AI Product Engineer

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PostHog

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

☁️ SaaS

⚡ Productivity

🏢 Enterprise

SaaS • Productivity • Enterprise

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.

📋 Description

• Owning products and features from beginning to end. This means originating ideas based on your intuition, talking to users, and understanding our strategy and goals. It means testing MVPs in production with real users. It means iterating on their feedback, owning pricing, and ensuring the ongoing success of your work. • Collaborating with design (when necessary). Product engineers at PostHog are full-stack, so we expect you to ship and own the basic UX of your work using our design system. From there, it's up to you to decide when to collaborate with our design team to iterate and polish the experience. • Implementing AI features. LLMs, eh? They're getting prettaaay, prettaay good. All our products integrate with PostHog AI, so you'll likely be working with the PostHog AI team to implement AI features in your products. For some teams, that means designing observability and evaluation features for AI products. • Talking to users. Good product engineers read feedback from users and iterate quickly. Great product engineers have users they're friendly with, talk with them frequently, bounce ideas off them, and iterate with them when they ship new things. • Doing support. Every week, one person in each engineering team is designated the Support hero. Their job is to investigate and resolve issues reported by customers for their product. Giving users support from real engineers and shipping fixes and improvements in real-time is one of the best ways to spark joy in users. This role will also include some on-call time, too. • Writing docs. We have a content team that will collaborate with you on reviewing, polishing, and improving your documentation, but the best person to document a new feature is the person who built it.

🎯 Requirements

• Full-stack experience with relevant technologies – e.g. Python or similar, React or similar, something to do with big data is a bonus. • Prior experience in AI workflow automation, copilots, or autonomous agent products. • Ability to choose pragmatic architectures, ship quickly, and iterate based on real feedback. • Strong sense for UX and product polish. • Excellent communicator who thrives on collaboration across teams. • Nice to have: You have worked at a high-growth SaaS company before. • Nice to have: Extensive knowledge of Django and/or TypeScript-based React. • Nice to have: Experience building AI-native products or integrating AI into existing software.

🏖️ Benefits

• 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.