Ambrook Inc. logo

Founding Analytics Engineer

Job Overview

Location

New York

Job Type

Full-time

Category

Data Science

Date Posted

April 17, 2026

Full Job Description

đź“‹ Description

  • • As the Founding Analytics Engineer at Ambrook, you will own and transform the company's entire data function, building a clean, trustworthy data foundation that enables every team to make confident, data-driven decisions in support of American family-run businesses facing climate and market volatility.
  • • You will own the full data stack from ingestion to insight, managing the warehouse, dbt models, Airbyte pipelines, orchestration, and company-wide dashboards, while establishing data access patterns for AI agents and advising on data modeling in external systems like HubSpot to ensure upstream data quality.
  • • You will join a mission-driven Series A startup backed by Thrive Capital, Dylan Field, and Homebrew, working to rebuild financial infrastructure for independent operators by replacing fragmented legacy systems with modern tools for accounting, banking, and spending.
  • • You will grow into a leadership role by improving data literacy across the company, refining data models, documenting best practices, and shaping the future of Ambrook’s data function through innovation in AI-augmented data workflows and self-service enablement.

Skills & Technologies

Onsite

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Ambrook Inc. logo
Ambrook Inc.
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About Ambrook Inc.

Ambrook builds modern financial software for farms and agricultural businesses, combining bookkeeping, cash-flow tracking, and government-reimbursement workflows in one platform. Founded in 2020, the company automates record-keeping for USDA grants, conservation programs, and tax credits, integrates banking and card feeds, and provides real-time dashboards so growers, ranchers, and accountants can see profitability by crop, field, or livestock group. Headquartered in San Francisco with a distributed team, Ambrook serves thousands of farms across the United States, helping them manage working capital, comply with regulations, and make data-driven decisions without spreadsheets.

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