Role Description
Founding Forward Deployed Engineer
New York City · On-site · Full-time
Compensation: $180K–$250K base + competitive equity
About the Company
Our client is a well-funded, seed-stage AI company building the revenue execution platform for B2B enterprises. Their product pairs LLMs with structured customer data to tell post-sales teams which accounts to prioritize, why, and what to do next, automating work that account management and customer success teams have long done by hand. They are already live with Fortune 500 customers and have meaningful contracted revenue.
Founded 2025 · Small founding team · Industry: AI, B2B, Enterprise
The Role
As the first Forward Deployed Engineer, you will own the technical deployment of the platform into enterprise customer environments. You will sit between messy customer data warehouses and production agent workflows, turning each customer's business knowledge into verified data models that drive measurable revenue outcomes. You will work directly with the founding team and report to the CTO.
What you'll be doing
- 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
Requirements
- 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
Nice to Haves
- Experience at an early-stage startup (seed through Series B); large tech company experience is most relevant when combined with startup or founder experience
Why Join
- Join as a founding engineer at a company that already has real enterprise traction and strong investor backing
- Above-market base salary plus meaningful equity, with flexibility for exceptional candidates
- Own the most important technical path in the business, since every customer deployment runs through this role
- Attack a large, underserved market in post-sales execution with one of the first purpose-built platforms
- Comprehensive medical, dental, and vision coverage for you and your family, parental leave, a monthly wellness stipend, daily lunches, flexible vacation, and up to $10K in relocation support for out-of-state hires
Details
- 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
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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