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Founding Forward Deployed Engineer

πŸ•’ yesterday
SQLDbtData EngineeringData Warehouses
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πŸ“œ Description

  • Partner with revenue and operations leaders to identify valuable problems and understand business objectives.
  • Lead customer onboarding, scope data access, and map undocumented warehouse schemas to business concepts.
  • Interview customer teams to reconcile business definitions and validate the resulting ontology.
  • Build customer-facing signals, workflows, and custom agent configurations; troubleshoot their outputs.
  • Define success measures, analyze results, and demonstrate customer impact with evidence.
  • Develop reusable validation frameworks, evaluation harnesses, and mapping tools.

πŸ› οΈ Requirements

  • At least 3 years of experience in a technical, customer-facing role such as forward deployed engineering, solutions engineering, or software engineering with substantial customer exposure.
  • Strong SQL and dbt skills, with deep familiarity navigating data warehouses and undocumented schemas.
  • A quantitative degree in statistics, mathematics, computer science, or a comparable field, plus a foundation in data science or machine learning.
  • Applied statistics and modeling experience, including distributions, seasonality, validation design, and calibration.
  • Experience creating custom agent setups beyond default implementations and building analytical cases tied to customer outcomes.
  • Ability to resolve inconsistent business definitions through interviews and data validation, with careful attention to detail and comfort working through ambiguity.
  • Founder experience or a non-traditional path into engineering is a plus.

✨ Benefits

  • Base salary is $180,000 to $250,000 USD annually. Visa sponsorship is not available.
Full job description

About the Role

Own customer deployments for an early-stage SaaS company, from understanding business goals and connecting to data through delivering a trusted system with measurable impact. The role brings together data engineering, applied AI, and customer success, while also building reusable tools and practices to improve future deployments.

What You'll Do

  • Partner with revenue and operations leaders to understand business objectives and identify valuable problems to solve.

  • Lead customer onboarding, scope data access, and map undocumented warehouse schemas to business concepts.

  • Interview customer data and business teams to reconcile conflicting definitions and validate the resulting ontology.

  • Build customer-facing signals and workflows, including custom agent configurations, and troubleshoot their outputs.

  • Agree on success measures, analyze results, and build a credible evidence-based case for customer impact.

  • Develop reusable validation frameworks, evaluation harnesses, and mapping tools to accelerate deployments.

What We're Looking For

  • At least 3 years of experience in a technical, customer-facing role such as forward deployed engineering, solutions engineering, or software engineering with substantial customer exposure.

  • Strong SQL and dbt skills, with deep familiarity navigating data warehouses and undocumented schemas.

  • A quantitative degree in statistics, mathematics, computer science, or a comparable field, plus a foundation in data science or machine learning.

  • Applied statistics and modeling experience, including distributions, seasonality, validation design, and calibration.

  • Experience creating custom agent setups beyond default implementations and building analytical cases tied to customer outcomes.

  • Ability to resolve inconsistent business definitions through interviews and data validation, with careful attention to detail and comfort working through ambiguity.

  • Founder experience or a non-traditional path into engineering is a plus.

Compensation & Benefits

Base salary is $180,000 to $250,000 USD annually. Visa sponsorship is not available.

Location

On-site in New York City, United States.

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