23 hours ago
Base Salary
$180k - $250k/yr
Responsibilities
- Work with customer revenue and operations leaders to understand business goals and identify valuable problems.
- Lead customer onboarding, scope data access, and map undocumented warehouse schemas to business concepts.
- Interview customer data and business teams to establish definitions and validate data mappings.
- Build customer-facing signals and workflows, including custom agent configurations, and diagnose output issues.
- Define success measures and build analysis demonstrating deployment impact.
- Create reusable validation frameworks, evaluation harnesses, and mapping tools from deployment learnings.
Requirements
- 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 engagement.
- An engineering or data science background with applied statistics or modeling experience and a degree in statistics, mathematics, computer science, or a comparable quantitative field.
- Strong SQL and dbt skills, with experience navigating undocumented data warehouses and resolving inconsistent business definitions.
- Applied data science knowledge including distributions, seasonality, validation design, and calibration.
- Experience building custom agent setups beyond default implementations and defining metrics for customer outcomes.
- Experience at an early-stage startup, or combined large-company experience with startup or founder experience.
- A detail-oriented, evidence-driven approach and comfort with ambiguity and end-to-end ownership.
Benefits
- Base salary of $180,000 to $250,000 annually.
- On-site work in New York City, New York.
Tech Stack
dbtSQL
Categories
Forward Deployed
