PostHog: AI Product Engineer

CloudDevs; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

CloudDevs is seeking a skilled full-stack engineer based in San Francisco to enhance their AI-powered software solutions. Your role involves working end-to-end on innovative products, ensuring user engagement and optimizing functionality.

The ideal candidate will have a solid background in Python and React, coupled with a passion for working within autonomous teams to build impactful solutions. You will collaborate closely with designers and users to refine and iterate on features continuously, ensuring high-quality user experiences.

This position emphasizes autonomy, ambition, transparency, and a strong focus on user-driven development.

Qualifications

• Full-stack experience in software development, particularly with Python and React.
• Prior experience in AI workflow automation or similar frameworks.
• Strong communication skills and the ability to work collaboratively.

Responsibilities

• Develop and implement AI features and products based on real customer data.
• Collaborate with design teams and users to refine UX.
• Engage with users for feedback to improve products.

Skills

Full-stack development

AI workflow automation

Excellent communication

Product polish and UX

Tools

Python

React

Django

Job description

We’re shipping need to run their business from their first day, to the day they IPO, and beyond. The operating system for folks who build software.

We started with open-source product analytics, We’ve since shipped including:

• , so users can query product and customer data together using custom SQL insights.
• , so they can send their data wherever they need with ease.
• , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries.

Next on the roadmap are CRM, messaging, revenue analytics, and support products. When we say every product that companies need to run their business, we really mean it!

We are:

1. Product-led. More than 100,000 companies have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit.
2. Revenue is growing 10% MoM on average, and we’re very efficient. We raise money to push ambition and grow faster, not to keep the lights on.
3. Well-funded. We’ve raised more than $100m from some of the world’s top . 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.

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 . 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. and . Teams are flexible and easy to change when needed.
• Shipping fast: 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 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, 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 with dubious shareholder value. Doing weird stuff is a competitive advantage. And it’s fun.

Who we’re looking for

We’re looking for a full-stack engineer who knows how to leverage LLMs to make PostHog 10x more powerful. You’ve built and shipped agentic AI applications before and understand it’s more than just hitting an API with a good prompt.

You’ll fit right in if you:

• Ship end-to-end AI apps — from backend infra to frontend UX.
• Collaborate widely — work across teams, find the right people, and make progress fast.
• Think like a product builder — care about users and outcomes, not just code.

If you’ve worked in autonomous agents, workflow automation, or AI copilots before, you’ll feel at home — but here you’ll get to build it from scratch, in the open, with massive impact.

What makes this role unique

In this role, you’re not hacking together an AI agent hoping someone will use it — you’re building on top of a firehose of real customer data with immediate impact, whether that means creating new AI-powered tools or building observability features that help others understand how their agents perform in the wild.

• Impact from day one: You’re building agents on top of real customer data — not toy demos, not “when we get users.”
• Data advantage: PostHog already collects all the context agents need to be useful: analytics, sessions, events, feature flags, and more. You’ll build on top of it all.
• Agents that matter: Instead of copilots on the side, you’ll create background agents embedded into engineering workflows – changing how software gets built. Or, you might focus on building the analytics and observability layer around those agents – surfacing insights, clustering behaviors, and measuring model quality so teams can improve their own AI systems with confidence.
• Build in the open: Work with feedback from the largest open-source product engineering communities in the world.

What you’ll be doing

• 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, 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. From there, it’s up to you to decide when to to iterate and polish the experience.
• Implementing AI features. LLMs, eh? They’re getting. All our products integrate with PostHog AI, so you’ll likely be 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 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, 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 – 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

• Have worked at a high-growth SaaS company before.
• Extensive knowledge of Django and/or TypeScript-based React.
• Experience building AI-native products or integrating AI into existing software.

If you have a disability, please let us know if there’s any way we can make the interview process better for you – we’re happy to accommodate!