Role Description
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role ------------------
You join a customer's marketing data problem and stay until it runs in production. One month it's a pharma brand that needs validated files delivered to its agency every night. The next it's a DTC brand that wants attribution it can defend, or an agency running forty client dashboards on one model. You own three to six accounts end to end: the discovery calls, the data model, the pipeline, the dashboard, the handoff. Claude Code is your pair, not a checkbox.
What you'll do ------------------
- Run weekly customer calls and turn what you hear into a scoped build with dates.
- Design and maintain the models: SQL and dbt on ClickHouse, BigQuery or Snowflake, kept correct as sources change.
- Write Python pipelines on Temporal when the platform doesn't cover the case: SFTP feeds, validation rules, custom joins, audit emails.
- Ship dashboards in Looker, Power BI or Tableau, whichever the customer already runs.
- QA your own delivery before the customer sees it. Send platform gaps back to Product with a reproducible case.
You'll fit if -----------------
- You have 3+ years shipping data work for people outside your own team: an agency, a consultancy, professional services, or an in-house analytics team with internal customers.
- SQL is your first language and Python a comfortable second.
- You've used Claude Code, Codex or Cursor for real work and can say where they go wrong.
- You can hold a call with a marketing director and a data engineer in the same hour and both leave with a decision.
- English C1 or better.
Helps ---------
- Ad-platform, GA4 or CRM data. dbt in production. MMM or attribution. Temporal or Airflow.
What we offer -----------------
- Remote-first environment
- Medical and dental benefits
- 401(k) plan
- Paid time off and US holidays
- Professional development reimbursement
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About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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