Join Fieldguide to own the data foundation for Fieldguide Insights, our flagship analytics product. You will architect the semantic layer and dbt models that power mission-critical reporting for the world’s largest CPA firms. This role combines deep technical modeling with the opportunity to shape AI-native data interfaces in a high-growth environment.
Senior Analytics Engineer at Fieldguide
Fieldguide is reshaping the audit and advisory industry with its agentic AI platform, and they're looking for a Senior Analytics Engineer to own their data foundation. Backed by Goldman Sachs and Bessemer, you'll build the dbt models and semantic layer powering insights for the world's largest CPA firms. If you have 5+ years of experience and want to bridge the gap between traditional BI and AI-native analytics in San Francisco, this is your chance to make a massive impact. You will join an elite team building the future of vertical AI for the top firms in the world.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Fieldguide
Role overview
Fieldguide is an AI-native, cloud-based automation and collaboration platform built specifically for assurance, audit, and advisory firms. It digitizes the end-to-end engagement workflow—from initial requests through workpaper preparation to final reporting—on a single platform, replacing multiple disconnected tools and manual processes.[3][10][16] The platform provides professional-grade AI “Field Agents” that plan, execute, and document engagement work across financial audits, SOC audits, IT audit, risk advisory, tax, cybersecurity, and regulatory compliance.[14][15] Fieldguide standardizes templates across the practice, tags data for drag‑and‑drop report creation, and automates engagement management to help CPA and advisory firms boost margins, reduce overhead, win new business, and improve client satisfaction.[5][10][15][16] Founded by former auditors and consultants, the company focuses on mid‑to‑large accounting and advisory firms, offering vertical AI for modern audit, attestation, assurance, and advisory practices.[3][7][17]
What you will do
- Define the canonical tables, metrics, and semantic layer behind every report to ensure all customer-facing data is reliable and defensible.
- Migrate production logic into governed dbt models with robust test coverage while hardening pipelines against upstream schema changes.
- Collaborate with Product and Engineering to design and implement a dimensional warehouse capable of feeding next-generation AI-native data interfaces.
Who this is a fit for
- Has 5+ years of experience in a modern data stack with expert-level SQL and deep hands-on proficiency in dbt modeling and testing.
- Demonstrates mastery of dimensional modeling (Kimball) and writes production-quality Python with fluency in version control and CI/CD workflows.
- Is based in San Francisco and thrives in a collaborative, in-person environment focused on building lovable products for regulated industries.
Why this role is remarkable
- Join a high-growth leader backed by top-tier investors like Goldman Sachs and Bessemer, serving over half of the top-100 CPA firms including several Big 4.
- Own the entire analytics foundation from the ground up, designing a Kimball-style warehouse that serves both traditional BI and emerging LLM-based analytics.
- Work at the intersection of AI and professional services, building the “agentic” layer that will reshape how a massive, regulated industry operates.
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