🔥 19 hours ago
Own customer implementations from discovery through go-live, integrating operational systems and translating wholesale workflow needs into configurations, data models, and product improvements.
Founding Forward Deployed Engineer
🕒 yesterday
SQLDbtData EngineeringApplied Data Science
📜 Description
- Partner with revenue and operations leaders to identify high-value problems.
- Lead customer onboarding, scope data access, and map undocumented warehouse schemas to business concepts.
- Interview customer teams to align business definitions and validate data mappings.
- Build customer-facing signals, workflows, and agent systems; diagnose issues with their outputs.
- Define success measures and analyze delivered business impact with customers.
- Develop reusable validation frameworks, evaluation harnesses, and mapping tools.
🛠️ 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 experience navigating undocumented data warehouse schemas.
- A degree in statistics, mathematics, computer science, or a comparable quantitative field, plus applied data science or machine learning experience.
- Knowledge of distributions, seasonality, validation design, calibration, and modeling.
- Experience building custom agent setups beyond default implementations.
- Ability to resolve conflicting business definitions through customer interviews and data validation, and to define metrics and demonstrate business outcomes.
- Careful, evidence-driven problem solving, comfort with ambiguity, and a stable employment history. Founder experience is a plus.
✨ Benefits
- Base salary: $180,000 to $250,000 USD annually. Visa sponsorship is not available.
Full job description
About the Role
Join an early-stage B2B SaaS team as the technical owner of customer deployments, working across data engineering, applied AI, and customer success. You will turn complex customer data and business goals into trusted systems and build reusable tools that help future deployments move faster.
What You'll Do
Work with revenue and operations leaders to understand business goals and identify high-value problems to solve.
Lead customer onboarding, scope data access, and map undocumented warehouse schemas to business concepts.
Interview customer data and business teams to establish consistent definitions and validate data mappings.
Build customer-facing signals and workflows, including the agent systems behind them, and diagnose issues with their outputs.
Define success measures with customers and build analyses that assess delivered business impact.
Create reusable validation frameworks, evaluation harnesses, and mapping tools based on deployment learnings.
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 experience navigating undocumented data warehouse schemas.
A degree in statistics, mathematics, computer science, or a comparable quantitative field, plus applied data science or machine learning experience.
Knowledge of distributions, seasonality, validation design, calibration, and modeling.
Experience building custom agent setups beyond default implementations.
Ability to resolve conflicting business definitions through customer interviews and data validation, and to define metrics and demonstrate business outcomes.
Careful, evidence-driven problem solving, comfort with ambiguity, and a stable employment history. Founder experience is a plus.
Compensation & Benefits
Base salary: $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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