Founding Data Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79igqz

ph3Who is Plain? /h3 pPlain is redefining customer support for the next generation of B2B companies. We’re building the fastest, most powerful platform to help companies move beyond reactive support and build true customer relationships. /p pSome of the world’s most forward-thinking companies - like Cursor, Vercel, and Granola - trust Plain to unify all customer interactions, enable faster team collaboration, and super‑charge their workflows with AI. /p pB2B 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. /p h3The role /h3 pWe’re hiring a Founding Data Engineer to own and evolve Plain’s data foundations: the warehouse, core models, and the “customer/account spine” that Product, GTM, Support, and Engineering rely on to make decisions and build great experiences. /p pThis is a hands‑on role. You’ll 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 we’re 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. /p h3What you’ll do /h3 ul liRebuild our data warehouse: own the architecture, schemas, and core datasets with clean pipelines and a unified event taxonomy established with Engineering. /li liDeliver 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. /li liStand up data observability: quality checks, freshness, lineage, schema drift, and incident response, so the business can trust what it sees. /li liOwn in‑app reporting: ship the analytics features that help support leaders turn their data into better decisions. /li liEnable self‑serve: evolve our data layer, dashboards, and documentation so every team can run their own analysis without a ticket. /li liLay the retrieval layer behind our AI agent's customer context. /li liPartner across the company: work with GTM, CX, Product, and Engineering to translate questions into scalable models and datasets. /li /ul h3This is a great fit if you… /h3 ul liHave built modern analytics stacks end‑to‑end (warehouse, transformations, semantic layer, governance) from zero, ideally more than once. /li liAre strong with SQL, BigQuery, and dbt/Dataform. /li liHave experience building user‑facing analytics or AI retrieval layers using real‑time data platforms (e.g., Tinybird, ClickHouse). /li liCare about data quality, trust, and reusability as much as shipping speed. /li liTake initiative and measure your work by end‑user impact, not elegant abstractions. /li liCommunicate clearly and build alignment without heavy process. /li /ul h3This won't be the right role if you… /h3 ul liAre uncomfortable with ambiguity or greenfield work. We're early and moving fast. /li liPrefer exploratory analysis over engineering reliable datasets and systems. /li liWant to manage a team right now. This is an IC role. /li /ul pCompensation Range: £95K - £130K /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79igqz