Founding Forward Deployed Engineer

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.