3+ years in a technical, customer-facing role (e.g., solutions engineering, forward deployed engineering)
Proficient in SQL and dbt, with experience navigating undocumented data warehouses
Skilled in resolving conflicting business definitions through interviews
Knowledge of applied data science concepts like distributions and validation design
Experience in building custom agent setups and improving workflows
Ability to define success metrics and demonstrate customer outcomes
Strong problem-solving skills with a focus on evidence and comfort with ambiguity
Responsibilities
Collaborate with revenue and operations leaders to identify key business problems
Onboard customers by scoping data access and mapping warehouse schemas
Interview teams to establish a clear ontology and resolve definitions
Develop customer-facing signals and workflows, diagnosing issues as they arise
Set success measures upfront and analyze business impact evidence
Transform deployment lessons into reusable frameworks and tools
Benefits
Comprehensive health insurance
Flexible work hours
Professional development opportunities
Collaborative work environment
Access to cutting-edge technology
Full Job Description
About the Role
As the technical owner of customer deployments, you will work across data engineering, applied AI, and customer success to turn business goals and complex customer data into trusted systems with measurable outcomes. This founding role combines hands-on delivery with building reusable tools and frameworks that improve future deployments. What You'll Do
Work with revenue and operations leaders to understand business objectives and determine which problems are worth solving.
Onboard customers end to end by scoping data access and mapping undocumented warehouse schemas to business concepts.
Interview data and business teams to establish an ontology and resolve conflicting definitions before implementation.
Build customer-facing signals and workflows, including the agent systems behind them, and diagnose and improve results when they fail.
Agree on success measures upfront, then analyze and communicate the evidence of business impact.
Turn deployment lessons into reusable validation frameworks, evaluation tools, and data mapping workflows.
What We're Looking For
At least 3 years of experience in a technical, customer-facing role, such as forward deployed engineering, solutions engineering, or software engineering with substantial customer exposure.
Strong SQL and dbt skills, with the ability to navigate undocumented data warehouses and investigate inconsistent data.
Experience clarifying conflicting business definitions through interviews and validation.
Applied data science knowledge, including distributions, seasonality, validation design, and calibration.
Experience building custom agent setups beyond default implementations and improving agent-driven workflows.
Experience defining success metrics and building analytical cases that demonstrate customer outcomes.
Careful, evidence-driven problem solving, comfort with ambiguity, and a willingness to own work from discovery through delivery. Founder experience is valued.
Compensation & Benefits
Salary range: $180,000 to $250,000 USD annually. Visa sponsorship is not available. Location
On-site in New York City, New York, United States.
