---
title: 'Senior Analytics Engineer at Fieldguide'
canonical: 'https://feeny.ai/job/senior-analytics-engineer-fieldguide-san-francisco-kyccgw870tjr'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Analytics Engineer at Fieldguide

- **Company:** Fieldguide
- **Location:** San Francisco, CA
- **Compensation:** $175k–$200k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-03
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/fieldguide/30dc449c-63ce-49bb-8217-65e895bd33e3

## Job description

## ABOUT US

Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners, specifically in cybersecurity, privacy, and financial audits. Put simply, we build software for the people who enable trust between businesses.

We’re based in San Francisco, CA and we’re backed by top investors, including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.

We value diversity—in backgrounds and experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide’s team is inclusive, driven, humble, and supportive. We are deliberate and self-reflective about the kind of team and culture we are building, seeking teammates who are not only strong in their own aptitudes, but who also care deeply about supporting each other’s growth.

As an early-stage startup employee, you’ll have the opportunity to help build the future of business trust. We make audit practitioners’ lives easier by consolidating up to 50% of their work and improving work-life balance. If you share our values and enthusiasm for building a great culture and product, you’ll find a home at Fieldguide.

## ABOUT THE ROLE

The Data Science team at Fieldguide builds Fieldguide Insights, a product that delivers new-to-the-industry visibility into audit and advisory execution and performance. We are hiring a Senior Analytics Engineer to own the foundation that Insights runs on: the semantic layer, the pipelines, and the models that make every number we ship reliable and defensible.

This is a role for a technical, broad engineer who specializes in analytics. You will define the canonical tables, columns, and metrics behind our customer-facing reports, move production logic into governed dbt, and harden pipelines. Your work is the base that our API and MCP-based analytics expose, so correctness is non-negotiable.

You will partner closely with Product, Engineering, App Platform, and Infrastructure. This role is ideal for a polymath who wants to model the business in tables that hold up over time and shape how audit and advisory firms consume analytics.

## WHAT YOU'LL DO

- Design and own the Insights semantic layer, establishing canonical definitions for the tables, columns, and metrics behind each report so the numbers we ship are trusted and consistent across the business.
- Standardize how we define core metrics, reconcile them across data sources such as Amplitude, and clearly document any variances.
- Migrate production report logic into governed, tested, and portable dbt models, strengthening test coverage and reusable macros along the way.
- Improve the reliability of business-critical pipelines through proactive monitoring, alerting, and resilience to upstream schema changes.
- Partner with customers and internal teams on data quality and new environment launches, including triage, onboarding, and data handling requirements.
- Contribute to the design of a Kimball-style dimensional warehouse built to serve both traditional BI and emerging LLM and MCP-based analytics.
- Help drive the migration of BI reporting onto the semantic layer, from report inventory and classification through cutover planning.

## WHO YOU ARE

- 4+ years in a modern data stack, with advanced SQL and deep hands-on dbt expertise across modeling, testing, and project structure.
- An engineer at heart: you ship production-quality Python, work fluently with version control and CI, and are comfortable diagnosing pipeline failures end to end.
- A skilled dimensional modeler (Kimball, slowly changing dimensions) who designs data models built to last as the business evolves.
- Analytically fluent, with a strong sense for data quality and the judgment to validate that results are correct, not just computed.
- Deep experience with BigQuery and cloud data warehousing, including cost and performance optimization.
- A collaborative partner who thrives working across teams, coordinating with Infrastructure and App Platform teams to deliver shared outcomes.
- Based in SF and energized by in-person collaboration with our team.

## BONUS POINTS

- A generalist background, with prior time as a data engineer, software engineer, or data scientist on top of the analytics-engineering core.
- Experience feeding LLM or AI-native data interfaces (semantic layer, MCP, text-to-SQL guardrails).
- BI migration experience (Looker, Omni, Tableau).
- A regulated-domain background where correctness is non-negotiable.

## MORE ABOUT FIELDGUIDE

Fieldguide is a values-based company. Our values are:

- Fearless — Inspire and break down seemingly impossible walls
- Fast — Launch fast with excellence; iterate to perfection
- Lovable — Deliver happiness and 11-star experiences
- Owners — Execute and run the business with ownership
- Win-win — Create mutual value and earn trust for life
- Inclusive — Scale the best ideas with inclusive teams

## SOME OF OUR BENEFITS INCLUDE:

- Competitive compensation packages with meaningful ownership
- Flexible PTO
- 401(k)
- Wellness benefits starting on your first day
- Technology and work-from-home reimbursement
- Flexible work schedules

## About Fieldguide

## Company Overview
- **One-liner**: Fieldguide is an AI-native platform that automates audit and advisory engagements for professional services firms, replacing manual workflows with agentic AI and collaborative tools.
- **Entity Type**: Private (Series C, $125.3M total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2020
- **Founders**: Jin Chang (CEO/Co-Founder) and Chris Szymansky (CTO/Co-Founder)

## Core Business
- **Primary Industry**: Vertical AI for Audit & Advisory (Regulatory Compliance, Risk Advisory, Financial Audit, SOC Readiness, IT Audit, Cybersecurity & Privacy, ESG)
- **Target Customers**: B2B — Audit and advisory practices (CPA firms, risk advisory firms, internal audit teams) ranging from top 100 firms to regional practices. Clients include KPMG, RSM US LLP, Baker Tilly, BDO, Grant Thornton, Forvis Mazars, CLA, CohnReznick, and many others.
- **Mission/Purpose**: "Increase trust in commerce and capital markets" by amplifying the assurance and advisory engagement experience through automation and AI.

## Products & Services
- **Fieldguide AI Platform**: The core end-to-end engagement management platform where practitioners and AI agents work together. Covers planning, testing, evidence review, reporting, and client collaboration.
- **Field Agents (Agentic AI)**: Purpose-built AI agents that automate end-to-end test procedures — validating evidence, summarizing results, and flagging exceptions. Includes Testing Agents, Substantive Testing Agents, Request Agents, and Agentic Chat.
- **AI Actions**: Handles recurring tasks across entire workpapers (drafting walkthroughs, suggesting test plans).
- **Client Hub**: Automated modern request management with a client-facing portal.
- **Reporting Automation**: One-click collaborative report generation.
- **Document Management**: Enterprise-grade workpaper management.
- **End-to-End Engagement Management**: Centralized platform for planning, execution, and delivery across every practice area and methodology.

## Market Standing
- **Valuation**: Not disclosed (last round: Series C, $75M, announced February 2026)
- **Total Funding**: $125.3M (8 rounds)
- **Key Metric**: Annual Revenue of $7.5M (156 employees)
- **Notable Investors**: Growth Equity at Goldman Sachs Alternatives (lead, Series C), Bessemer Venture Partners, 8VC, Thomson Reuters, Y Combinator, Floodgate, Elad Gil, Justin Kan, Qasar Younis, Eric Ries. Corporate investment from KPMG (2025).
- **Growth Signals**: 64.5% YoY headcount growth (+78 people); 50% of the top 100 firms trust Fieldguide; 32% reduction in engagement hours for customers; 70% reduction in manual testing time; 95% reduction in manual testing time for certain workflows; error rate of less than 1% versus manual processes; 5-time winner of CPA Practice Advisor Technology Innovation Award.

## Competitive Advantages
- **Vertical AI Moat**: Purpose-built for regulated audit and advisory environments, not a generic AI tool. Field Agents are trained on industry standards (SOX, HIPAA, FFIEC, HITRUST, PCI DSS) and firm methodologies.
- **Founder-Market Fit**: Both co-founders have deep industry experience — Jin Chang spent 5 years at EY in audit & advisory; Chris Szymansky has a technical background and founded a crypto tax automation company.
- **Network Effects**: As more firms use the platform, the AI agents improve across methodologies and regulatory frameworks, creating a data moat.
- **Top-Tier Customer Base**: Already adopted by 50% of the top 100 firms, including Big Four (KPMG) and national leaders (RSM, Baker Tilly, BDO, Grant Thornton), providing credibility and a strong reference base.
- **Capital & Strategic Backing**: Backed by Goldman Sachs Alternatives, Bessemer, 8VC, and a strategic investment from KPMG — signaling both financial strength and industry validation.

## Strategic Focus
- **Agentic AI First**: Doubling down on autonomous AI agents that execute testing, documentation, and evidence review, allowing practitioners to focus on judgment and client impact.
- **Platform Expansion**: Moving beyond audit into risk advisory, SOC, ESG, cybersecurity, and other assurance practices — becoming the single platform for all trust services.
- **Geographic Growth**: Expanding presence with offices/hubs in San Francisco (HQ), Denver, New York, Seoul, Los Angeles, Austin, Detroit, Pittsburgh, Toronto, London, Seattle, and Singapore.
- **Talent Acquisition**: Aggressively hiring (+105.6% YoY job posting growth) across engineering, customer success, sales, and marketing to scale the platform.

## Why Work Here
- **Mission-Driven**: Work that directly increases trust in commerce and capital markets — a meaningful, high-impact problem.
- **Remote-Friendly Culture**: Described as a "remote-friendly, global company" with hubs across the US, Canada, UK, Ireland, South Korea, and Singapore. Not fully remote but flexible.
- **Strong Engineering Culture**: Cross-functional teams with autonomy and focus on core metrics. Engineers work on cutting-edge agentic AI problems in a high-regulation environment.
- **Learning Opportunity**: Daily exposure to industry experts (former auditors on staff) who share knowledge — no prior audit experience needed.
- **Perks & Benefits**: Competitive compensation, stock options, flexible PTO, wellness benefits, technology reimbursement, company offsites.
- **Culture Values**: "Loveable" (create mutual value, earn trust), "Fearless" (inspire, break down walls), "Fast" (launch fast, iterate to perfection), "Inclusive" (scale best ideas with inclusive teams), "Owners" (execute with ownership), "Deliver happiness & 11 star experiences."
- **Talent Density**: Team includes alumni from Meta, Amazon, Brex, Carta, EY, Thomson Reuters, FloQast, LaunchDarkly — high-caliber peers.

## Sources
1. [fieldguide.io](https://www.fieldguide.io/)
2. [fieldguide.io/about](https://www.fieldguide.io/about)
3. [fieldguide.io/careers](https://www.fieldguide.io/careers)
4. [linkedin.com/company/fieldguide-inc](https://www.linkedin.com/company/fieldguide-inc)
5. [ycombinator.com/companies/fieldguide](https://www.ycombinator.com/companies/fieldguide)

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