Founding Data Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
Weāre hiring a Founding Data Engineer to own and evolve Plainās data foundations: the warehouse, core models, and the ācustomer/account spineā that Product, GTM, Support, and Engineering rely on to make decisions and build great experiences.
This is a hands-on role. Youāll work across our data stack and partner closely with engineering teams to keep our event taxonomy, pipelines, and metrics clean as we scale. We expect you to be hands-on, and weāre looking for someone who can both execute and grow into broader ownership of the data function over time. This includes owning how Plain captures, models, and surfaces data: from warehouse foundations to in-app reporting and the data layer that will power our AI features., * Rebuild our data warehouse: own the architecture, schemas, and core datasets with clean pipelines and a unified event taxonomy established with Engineering.
- Deliver trusted, reusable data products: foundational datasets that power analytics, reporting, in-app features, and AI, anchored on a joinable customer/account spine across product, billing, and CS context.
- Stand up data observability: quality checks, freshness, lineage, schema drift, and incident response, so the business can trust what it sees.
- Own in-app reporting: ship the analytics features that help support leaders turn their data into better decisions.
- Enable self-serve: evolve our data layer, dashboards, and documentation so every team can run their own analysis without a ticket.
- Lay the retrieval layer behind our AI agentās customer context.
- Partner across the company: work with GTM, CX, Product, and Engineering to translate questions into scalable models and datasets.
Requirements
Do you have experience in Slack?, * Are strong with SQL, BigQuery, and dbt/Dataform.
- Have experience building user-facing analytics or AI retrieval layers using real-time data platforms (e.g., Tinybird, ClickHouse).
- Care about data quality, trust, and reusability as much as shipping speed.
- Take initiative and measure your work by end-user impact, not elegant abstractions.
- Communicate clearly and build alignment without heavy process.
Benefits & conditions
- Are uncomfortable with ambiguity or greenfield work. Weāre early and moving fast.
- Prefer exploratory analysis over engineering reliable datasets and systems.
- Want to manage a team right now. This is an IC role.
Compensation Range: £95K - £130K
About the company
Plain is redefining customer support for the next generation of B2B companies. Weāre building the fastest, most powerful platform to help companies move beyond reactive support and build true customer relationships.
Some of the worldās most forward-thinking companies - like Cursor, Vercel, and Granola - trust Plain to unify all customer interactions, enable faster team collaboration, and supercharge their workflows with AI.
B2B customer support is undergoing a seismic shift. AI is transforming the way companies engage with customers, shifting support from a siloed function to a company-wide effort across Slack, Discord, and any other channel you talk to customers in. The old way - slow, manual, and disconnected - no longer works.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role ā technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Navigating the AI Shift
Dev Digest 120 - Apple and peers
Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?
How to Become an AI Engineer