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Founding Forward Deployed Engineer

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Summary

Founding forward deployed engineer at an early-stage B2B SaaS startup building AI-powered revenue-growth tools: lead customer onboarding, build semantic SQL data models, and deploy and monitor agent pipelines in customer environments. On-site in New York; strong SQL, dbt, Python, and LLM/agent skills expected.

About the Role

Join an early-stage B2B SaaS team building AI-powered tools for revenue growth. As a founding deployment engineer, you will take technical implementations from customer data discovery through production, helping turn complex business information into reliable data models and agent workflows.

What You'll Do

  • Lead customer onboarding from data access planning through warehouse discovery and mapping schemas to business concepts such as churn, expansion, and recurring revenue.

  • Build and validate semantic models by working with customer stakeholders to resolve competing definitions and encode agreed logic in verified SQL.

  • Deploy platform workflows and agent pipelines in customer environments, then monitor their performance and business outcomes.

  • Manage multiple customer engagements, balancing direct collaboration with customer teams and hands-on data work.

  • Use internal agent tools and share feedback that improves evaluation guardrails, validation frameworks, and agent infrastructure.

What We're Looking For

  • Two to five years of experience in forward deployed engineering, data science, or customer-facing software engineering.

  • Experience owning customer deployments end to end and independently shipping and troubleshooting production code, data pipelines, or systems.

  • Strong SQL and data warehouse skills, including the ability to work with undocumented or legacy schemas and verify results.

  • Experience with data science or machine learning, or academic grounding in statistics, mathematics, or applied mathematics.

  • Fluency with SQL, dbt, data warehousing, Python, LLMs, AI agents, signal engineering, or evaluation frameworks.

  • A quantitative STEM background and experience in a startup, consulting, or other resourceful environment are valuable.

  • Comfort defending technical recommendations with customers, adapting to evidence, and doing detailed, repetitive data verification.

Compensation & Benefits

Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.

Location

On-site in New York, New York.

Skills

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