Founding Forward Deployed Engineer

Wwshemi; New York (NY); Presencial; USD 180.000 - 250.000; Jornada completa

Descripción de la vacante

Wwshemi is pursuing a founding role focused on owning customer deployments for a B2B SaaS product, combining data engineering, applied AI, and close customer collaboration. You’ll build reusable tools and practices to scale future deployments and deliver measurable business outcomes.

Lead onboarding, validate data mappings, and define success metrics with customers while developing end-to-end ownership and creative analytics pipelines in a startup environment.

Formación

• 3+ years in a technical customer-facing role such as forward deployed engineering or solutions engineering.
• Engineering or data science background with applied statistics or modeling experience.
• Strong SQL and dbt skills; experience navigating undocumented data warehouses and resolving inconsistencies.
• Applied data science knowledge including distributions, seasonality, validation design, and calibration.

Responsabilidades

• Understand business goals with customers and identify valuable problems to solve.
• Onboard customers, scope data access, and map undocumented warehouse schemas to business concepts.
• Interview customer data and business teams to establish definitions and validate mappings.
• Build customer-facing signals and workflows, including custom agent configurations, and diagnose issues with outputs.
• Define success measures with customers and build analyses to demonstrate deployment impact.
• Turn deployment learnings into reusable validation frameworks and mapping tools.

Conocimientos

Data science

Statistics

Modeling

End-to-end ownership

Customer-facing skills

Educación

Statistics

Mathematics

Computer Science

Herramientas

SQL

dbt

Descripción del empleo

Own customer deployments for an early-stage B2B SaaS company, from initial data access through a trusted system that delivers measurable business outcomes. This founding role combines data engineering, applied AI, and customer collaboration, while building reusable tools and practices to make future deployments more effective.

What You'll Do

• Work with customer revenue and operations leaders to understand business goals 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 establish consistent definitions and validate data mappings.
• Build customer-facing signals and workflows, including custom agent configurations, and diagnose issues with their outputs.
• Define success measures with customers and build analysis that demonstrates the impact of deployments.
• Turn deployment learnings into reusable validation frameworks, evaluation harnesses, and mapping tools.

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 engagement.
• An engineering or data science background, with applied statistics or modeling experience and a degree in statistics, mathematics, computer science, or a comparable quantitative field.
• Strong SQL and dbt skills, plus experience navigating undocumented data warehouses and resolving inconsistent business definitions.
• Applied data science knowledge, including distributions, seasonality, validation design, and calibration.
• Experience building custom agent setups beyond default implementations and defining metrics to demonstrate customer outcomes.
• Experience at an early-stage startup, or a combination of large-company experience with startup or founder experience. Founder experience is valued.
• A detail-oriented, evidence-driven approach and comfort with ambiguity and end-to-end ownership.

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