Founding Forward Deployed Engineer

A well-capitalized, post-revenue enterprise AI company is hiring a Founding Forward Deployed Engineer to lead the technical deployment of its platform within complex customer environments. The company is building an AI-powered revenue execution platform that helps enterprise teams identify which customers to prioritize, understand why, and determine what actions to take next.

What You Will Do

Own enterprise customer deployments from initial data access through production launch and measurable value delivery. Explore undocumented data warehouses and map complex or legacy schemas to business concepts such as churn, retention, expansion, and annual recurring revenue.

Why It Might Be a Fit

Approximately 2–5 years of experience as a Forward Deployed Engineer, Customer Engineer, Solutions Engineer, customer-facing Software Engineer, or in a closely related technical role. Experience owning end-to-end technical customer deployments involving data access, schema mapping, stakeholder management, production delivery, and value validation.

Requirements

• Approximately 2–5 years of experience as a Forward Deployed Engineer, Customer Engineer, Solutions Engineer, customer-facing Software Engineer, or in a closely related technical role.
• Experience owning end-to-end technical customer deployments involving data access, schema mapping, stakeholder management, production delivery, and value validation.
• Deep SQL and data-warehouse fluency, including the ability to navigate messy, legacy, or undocumented schemas independently.
• Experience with dbt, data pipelines, data warehouses, or comparable production data systems.
• Strong hands-on programming skills, ideally in Python, with experience independently building, debugging, and deploying production systems.
• An AI-native working style, including regular use of tools such as Claude or Cursor.
• Experience building or customizing agent-driven workflows, not simply using off-the-shelf AI tools.
• Applied data-science literacy, including familiarity with distributions, seasonality, validation design, and distinguishing meaningful findings from noise.
• Ability to translate ambiguous business requirements into reliable technical systems and validated data models.
• Strong customer-facing communication skills, including the ability to defend technical decisions under pressure and change direction when presented with better evidence.
• High tolerance for detail-oriented and repetitive data-verification work.
• A bachelor's degree in computer science, data science, statistics, or another quantitative STEM discipline.
• A strong academic pedigree or experience at a recognizable technology, data, consulting, or financial-services organization; candidates should have at least one of these indicators.

Benefits

• Comprehensive medical, dental, and vision coverage for employees and their families.
• Parental leave, a monthly wellness stipend, daily lunches and snacks, and a flexible vacation policy.
• Up to $10,000 in relocation support for candidates moving from outside New York.