Founding Forward Deployed Engineer
Founding Forward Deployed Engineer at an early-stage B2B SaaS company building AI-powered revenue growth tools. You lead end-to-end enterprise customer deployments: exploring data warehouses, building semantic models in SQL, and shipping AI agent pipelines into customer environments. Core stack includes SQL, dbt, Python, data warehousing, and LLMs.
- Compensation
- $180K–$250K / yr
- Location
- New York
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Solutions engineering
- Posted
Skills
Must have
- 2-5 years of experience in forward deployed engineering, data science, or customer-facing software engineering
- Experience owning technical customer deployments end to end and independently shipping production code, data pipelines, or systems
- Strong SQL and data warehouse skills, including working with undocumented or legacy schemas and validating results independently
- Experience with data science or machine learning, or academic grounding in statistics, mathematics, or applied mathematics
- Degree in computer science, data science, statistics, or a quantitative STEM field with strong technical fundamentals
- Customer-facing experience and comfort defending technical recommendations with evidence
Nice to have
- Familiarity with SQL, dbt, data warehousing, Python, LLMs, AI agents, signal engineering, or evaluation frameworks
- Experience in a startup, consulting, or similarly hands-on environment
Full description
About the Role
Join an early-stage B2B SaaS team building AI-powered tools for revenue growth. As a founding Forward Deployed Engineer, you will lead technical deployments with enterprise customers, translating complex data environments and business knowledge into reliable workflows that support measurable outcomes.
What You'll Do
- Lead customer onboarding end to end, including scoping data access, exploring undocumented warehouses, 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 conflicting definitions and encode business logic in verified SQL.
- Deploy workflows and AI agent pipelines into customer environments, then monitor their performance and impact.
- Manage multiple customer engagements, collaborating with customer data and engineering teams while completing hands-on data work.
- Use internal agent tools and share feedback to improve 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 technical customer deployments end to end and independently shipping production code, data pipelines, or systems.
- Strong SQL and data warehouse skills, including the ability to work with undocumented or legacy schemas and validate results independently.
- Experience with data science or machine learning, or academic grounding in statistics, mathematics, or applied mathematics.
- Familiarity with SQL, dbt, data warehousing, Python, LLMs, AI agents, signal engineering, or evaluation frameworks.
- A degree in computer science, data science, statistics, or a quantitative STEM field, with strong technical fundamentals.
- Customer-facing experience, comfort defending technical recommendations with evidence, and patience for detailed data verification work.
- Experience in a startup, consulting, or similarly hands-on environment is valuable.
Compensation & Benefits
Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site, five days per week in New York, New York.