fieldguide - Advisory Engineer
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Requirements
• Bachelor’s degree in Accounting, Management Information Systems, Computer Science, or a related field. • CPA, CISA, CISSP, or equivalent professional certification. • 4-10 years of experience in risk advisory at a leading public accounting or advisory firm. • Experience at the Manager level or above is strongly preferred. • Experience conducting SOC 2 examinations, cybersecurity risk assessments, or related risk advisory engagements end-to-end. • Strong understanding of common security and privacy frameworks, including SOC 2, ISO 27001, NIST CSF, CCPA, and GDPR. • Experience scoping engagements, testing controls, evaluating evidence, and drafting advisory reports. • Familiarity with IT general controls (ITGCs) and how they relate to risk and compliance. • Experience working across multiple clients and industries. • Exceptional attention to detail and a high bar for accuracy. • Strong communication skills and the ability to translate complex risk advisory concepts into clear product requirements. • Strong prioritization skills and the ability to focus on the highest-impact work. • Curiosity about AI and how it will reshape risk advisory and professional services. • Interest in working closely with engineers to build new systems from the ground up. • Comfort operating in ambiguous environments and building without a predefined playbook. • Strong cross-functional collaboration skills and the ability to work effectively across teams. • A deep interest in improving how risk advisory engagements are performed, not just digitizing existing workflows.
Responsibilities
• Help design the AI-powered workflows that will define the future of risk advisory and assurance. • Partner closely with engineering, product, and design teams to translate real-world risk advisory processes into scalable product capabilities. • Work directly with advisory firms using Fieldguide to understand their workflows, pain points, and opportunities for automation. • Identify edge cases, controls, and quality requirements to ensure the product meets the standards required for professional services workflows. • Collaborate with our ML team to develop AI agent capabilities that assist with tasks such as evidence collection, control testing, and report generation. • Help rethink long-standing risk advisory processes and shape how AI can augment professional judgment.
Benefits
• Competitive compensation packages with meaningful ownership • Wellness benefits starting on your first day • Technology & Work from Home reimbursement • Flexible work schedules
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