Founding Forward-Deployed Engineer - Data & AI Impact

Wwshemi; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data science

Statistics

Modeling

End-to-end ownership

Customer-facing skills

Education

Statistics

Mathematics

Computer Science

Tools

SQL

dbt

Job description

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.