Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Founding Forward Deployed Engineer role.
Rezi rewrites your resume against True Talent Solutions Partners's job description. Free.
Tailor your resume to this Founding Forward Deployed Engineer role.
Rezi rewrites your resume against True Talent Solutions Partners's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Founding Forward Deployed Engineer posting at True Talent Solutions Partners — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Founding Forward Deployed Engineer posting at True Talent Solutions Partners — free, in seconds.
About the Role
Join an early-stage B2B SaaS team building an AI-powered revenue platform for enterprise customers. You will lead technical deployments from data discovery through production workflows, turning customer data and business knowledge into reliable systems that support revenue growth.
Responsibilities
- Onboard customers by scoping data access, exploring data warehouses, and mapping schemas to business concepts such as churn, expansion, and recurring revenue.
- Interview stakeholders to resolve differing business definitions and encode validated models in SQL.
- Deploy platform workflows and agent pipelines in customer environments, then monitor their performance and outcomes.
- Manage several 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.
Requirements
- 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 data systems.
- Strong SQL and data warehouse skills, including navigating undocumented or legacy schemas and validating results.
- Customer-facing experience, sound technical judgment, and willingness to perform detailed, hands-on data verification.
- A bachelor's degree in computer science, data science, statistics, or a quantitative STEM field.
Skills
- SQL
- dbt
- Python
- data warehousing
- LLMs
- AI agents
- signal engineering
- evaluation frameworks
- Data science
- machine learning
- statistics
- mathematics
- applied mathematics
- computer science
- quantitative field
Location
- New York, New York, United States
Work Type
- On-site
- full-time
Experience Level
- 2-5 years
Education Level
- Bachelor's degree in computer science, data science, statistics, or a quantitative STEM field.
Salary/Compensations
- $180,000 to $250,000 annually
Benefits
- Visa sponsorship is available.