About the Role
Join an early-stage B2B SaaS team building AI-powered tools for revenue operations. As a founding deployment engineer, you will turn complex customer data into reliable models and production agent workflows that support measurable business outcomes.
What You'll Do
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Lead customer onboarding from scoping data access through exploring warehouses and mapping schemas to business concepts such as churn, expansion, and recurring revenue.
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Interview customer stakeholders, resolve conflicting definitions, and encode validated business logic into semantic models and SQL queries.
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Deploy agent workflows and pipelines in customer environments, then monitor their performance and business impact.
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Manage multiple customer engagements, balancing hands-on data work with collaboration across customer data and engineering teams.
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Use internal agent tools and share feedback to improve evaluation guardrails, validation frameworks, and agent infrastructure.
What We're Looking For
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Two to five years of experience in forward deployed engineering, data science, or customer-facing software engineering.
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Experience owning technical customer deployments end to end and independently shipping and troubleshooting production code or data systems.
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Strong SQL and data warehouse skills, including the ability to navigate undocumented or legacy schemas and validate results.
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Experience with data science or machine learning, or academic study in statistics, mathematics, or a related quantitative field.
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Familiarity with SQL, dbt, data warehousing, Python, LLMs, AI agents, signal engineering, or evaluation frameworks.
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A relevant quantitative or computer science degree and experience in a startup, consulting, or similarly hands-on environment.
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Comfort working directly with customers, defending technical decisions with evidence, and doing detailed, repetitive data verification.
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.
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