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Product Engineer - Data Modeling at PostHog. Location Information: Anywhere in the World. . Headquarters:. San Francisco . URL:. . https://posthog.com/. . . About PostHog. . We . equip every developer to build successful products. .. . We started with open-source product analytics, . launched out of Y Combinator's W20 cohort. .. . We've since shipped . more than a dozen products. , including . a built-in data warehouse. , . a customer data platform. , and . Max AI. , 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 . values. are not a poster on the wall full of aspiration. They’ve come from how we really work, day in day out.. . PostHog is . open source. product led, and a . default alive. 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 . Temporal.io. . 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 . Temporal.io. 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 just . git. it 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.. . To apply:. . https://weworkremotely.com/remote-jobs/posthog-product-engineer-data-modeling.