[Remote] Senior Data Engineer, AI & Product Integrations

Note: The job is a remote job and is open to candidates in USA. Userflow is seeking a Senior Data Engineer to bridge their data lake and product. This role involves owning the pipelines, APIs, and real-time integrations that transform raw data into actionable product features and business insights, while leveraging AI for enhanced decision-making.ResponsibilitiesOwn data insights that inform AI product features, and build internal AI workflows that enable data-driven decision-making for GTM teamsCreate and own real-time and near-real-time integrations that push aggregated data from the lake into the product (via APIs, webhooks, feeds, or integrations)Query and analyze the data lake using existing MCP and tools to surface insights that inform product and business decisionsDesign and build data pipelines that ingest new data from the product back into the data lake (occasional but critical)Write agentic code using Claude Code / Cowork to automate analysis, decision-making, and data movement (e.g., quickly prototype data transformations and integrations with AI assistance)Use agentic code to build Streamlit dashboards, notebooks, and quick analysis tools to explore data and validate hypothesesCollaborate with product, engineering, and rest of data engineering teams to understand data needs and translate them into integrationsSkills5 years of software engineering or data engineering experienceExperience shipping production level code using AI backed pipelinesExperience working with data lakes, data warehouses, or similar big data systems (e.g., Snowflake, BigQuery, DuckDB, etc.)Familiarity with SQL and querying large datasetsExperience building or consuming APIs, webhooks, or event-driven integrationsSome exposure to ETL pipelines or data engineering tools (Airflow, dbt, custom scripts, etc.)Familiarity with MCPs (Model Context Protocols) or LLM-driven toolingYou're comfortable using AI tools (Claude Code, Cowork, etc.) to move faster and experiment with solutionsYou think in terms of how can I automate this with AI rather than how do I do this manuallyYou care about data quality and understand the importance of reliable pipelinesYou're curious about what data can tell us and eager to dig into questionsYou're pragmatic: you'll ship a Streamlit prototype today over a perfect pipeline next monthYou communicate clearly with non-technical stakeholders (product, business) about what data can and can't doExperience with streaming or real-time data (Kafka, Pub/Sub, webhooks)Experience with Streamlit or similar rapid dashboard toolsExposure to SaaS product metrics and analyticsComfort with async work and distributed teamsBenefitsWork that matters: you're directly enabling product decisions and customer valueAutonomy: you own the data integration layer end-to-endModern tools and practices: AI-driven development, agentic workflows, rapid iterationCompetitive compensation and benefitsCompany OverviewUserflow builds in-app tours, checklists, and surveys for SaaS companies. It is a sub-organization of Beamer. It was founded in 2018, and is headquartered in San Francisco, California, USA, with a workforce of 11-50 employees. Its website is https://userflow.com.