Founding Forward Deployed Engineer

• →Leading new customer onboardings from start to finish: scoping data access, exploring undocumented warehouses, and mapping complex schemas to business concepts like churn, expansion, and ARR
• →Building and validating the semantic layer by working with customer stakeholders, reconciling conflicting definitions, and encoding them as verified SQL
• →Deploying workflows and agent pipelines into customer instances, then monitoring them to make sure they deliver results
• →Running 2–3 customer engagements at a time in shared channels with customer data and engineering teams (roughly a quarter of your time customer-facing, the rest hands-on data work)
• →Using the internal agent tooling daily and shaping how the team improves evals, validation, and the agent harness

Tech stack: SQL, dbt, data warehousing, Python, LLMs, AI agents, signal engineering, eval frameworks

• 2–5 years in a forward deployed, data science, or customer-facing engineering role
• A track record of personally leading technical customer deployments, including data access, schema mapping, stakeholder alignment, and demonstrating value
• Experience building and shipping production data pipelines or systems on your own, from writing the code through debugging and deployment
• Strong SQL and data warehouse skills, including working confidently in poorly documented or legacy schemas and producing output you have validated yourself
• A daily AI-first workflow: you use tools like Claude or Cursor and have built or tailored your own agent-based workflows
• Solid applied statistics sense, such as understanding distributions, seasonality, and validation design, and knowing when a result is noise
• A background along one of these paths: forward deployed, customer, or solutions engineering at a leading data or AI company; analytics engineering or data science followed by customer-facing delivery; or consulting, PE, or banking paired with a genuine CS and engineering foundation
• The confidence to hold a technical position when customers push back, while staying open to changing your mind based on evidence
• Comfort with detailed, repetitive data verification, which makes up most of the role
• A bachelor's degree in computer science, data science, statistics, or another quantitative STEM field from a top-tier university
• Based in or willing to relocate to New York City and work in the office five days a week

• Experience at an early-stage startup (seed through Series B); large tech company experience is most relevant when combined with startup or founder experience

• Location: New York City, NY
• Work policy: On-site 5 days a week
• Compensation: $180,000–$250,000 + equity
• Visa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers)
• Employment type: Full-time