PostHog: Product Engineer – Data Modeling

CloudDevs; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

CloudDevs is looking for a Product Engineer in San Francisco to join our Data Stack team. This role will focus on creating end-user tools for navigating data models, enhancing system resilience, and debugging workflows. You'll collaborate closely with our internal teams, driving the development of our core data product.

The ideal candidate will have extensive experience in Kubernetes, Docker, and Python, along with strong skills in UI development with React. We value autonomy and encourage engineers to take initiative in their work while ensuring our systems remain stable and production-ready.

Qualifications

• Experience in building resilient systems with Kubernetes and Docker.
• Proficient in developing data-intensive UIs using React.
• Familiarity with DAGs and batch processing using Dbt is a plus.

Responsibilities

• Build end-user tools for understanding data models.
• Debug stateful data workflows and resolve query materialization.
• Develop resilient systems in python while maintaining observability.

Skills

Kubernetes

Docker

S3

Python

React

DAG processing

Async-python

Job description

About PostHog

We.

We started with open-source product analytics,.

We’ve since shipped, including,, and, an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries.

Next on the roadmap are messaging, customer analytics, ai task creation and coding based on customer data, logs and support analytics.

Our are not a poster on the wall full of aspiration. They’ve come from how we really work, day in day out.

PostHog is product led, and a company that is well funded.

What you’ll be doing

As a Product Engineer – Data Modeling s on the Data Stack team, you’ll build end user tools for understanding and traversing their data models.

You’ll work on materializing user defined queries, and schedule & resolve DAGs of query materialization.

You’ll debug stateful data workflows by digging into k8s pod metrics, and schedule jobs using. As you can see, there’s a huge breadth of challenges and opportunities to tackle, and nothing is off-limits.

The PostHog Data Stack is both a core product for our users and a foundational platform for our internal teams. Data is a first-class product at PostHog, not an afterthought.

You will have the chance to push the boundaries of what our Data Stack team can do while ensuring we remain stable and production-ready.

You now know what you’ll be doing, but what about what you’ll need to bring along?

You’ll fit right in if:

• You’re a builder.You bring strong skills in building resilient systems, with experience in Kubernetes, Docker, and S3 at scale. We build in python. Async-python and skills are welcome.
• You have good practices around building resilient systems.Logging, testing and monitoring (observability), but you are also comfortable with debugging stateful, async data workflows by digging into k8s pod metrics.
• You are proficient in building UIs for data intensive tools.React is part of your toolset.
• You bring experience with DAG’s and Batch processing.Having used Dbt is a plus.
• You bring a mix of skills.It’s not just about the query engine. You’ll need strong backend skills as we run a complex system.
• You love getting things done.Engineers at PostHog have an incredible amount of autonomy to decide what to work on, so you’ll need to be proactive and justgitit done.
• You’re ready to do the best work of your career.We have incredible distribution, a big financial cushion and an amazing team. There’s probably no better place to see how far you can go.

If this sounds like you, we should talk.

We are committed to ensuring a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.