Applied Forward Deployed Engineer (Post-Sales)

Role overview This post-sales engineering role owns the technical path from a customer’s signed agreement through deployment, active use, and measurable value. You’ll build and integrate production solutions in customer data environments, work directly with technical and executive stakeholders, and help establish the practices for a newly forming function.

Responsibilities - Configure monitoring, alerts, and integrations to fit each customer’s data environment and pipelines. - Write production-quality Python, SQL, and API integrations, resolving technical obstacles to operational deployment. - Guide customers from initial launch toward sustained consumption and demonstrable value. - Broaden adoption across customer teams, data assets, and use cases. - Share field findings with product and engineering teams to inform improvements to the core product. - Help create the team’s deployment playbook and working methods.

Requirements - Five or more years building on Snowflake, Databricks, or another modern cloud data warehouse, with direct design and implementation experience. - Production-level Python and SQL skills, plus experience integrating REST APIs in environments managed by others. - Experience owning post-contract technical outcomes for enterprise customers, such as implementation, technical onboarding, solutions engineering, or forward-deployed engineering. - Ability to lead working sessions with data engineers and communicate clearly with senior leaders. - Comfort working in ambiguity and creating structure and momentum without an established playbook. - Willingness to write and deploy code directly in customer environments.

Nice to have - Experience with dbt, Airflow, Fivetran, or Looker; data quality, pipeline monitoring, incident response, or data observability.

Benefits and work setup - Remote position in the United States, with approximately 25% travel to customers. - The source mentions competitive compensation and equity but does not provide details.