Founding Forward Deployed Engineer

Clera · posted Oct 22, 2026

Open to candidates in United States

$180k–$250k · Full-time · Mid-level

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What this job asks for

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Must have

  • •3+ years technical, customer-facing role
  • •Strong SQL and dbt skills
  • •Experience with undocumented data warehouse schemas
  • •Quantitative degree + applied data science/ML
  • •Knowledge of distributions, seasonality, validation
  • •Build custom agent setups
  • •Resolve conflicting definitions, demonstrate outcomes

Nice to have

  • •Founder experience

Tools and technologies

SQL, dbt

Worth checking before you apply

  • Visa sponsorship is not available
Read the full posting

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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