Remote opportunity at
FieldguidePrincipal/Staff Product Manager, Risk Advisory
Fieldguide is seeking a Principal or Staff Product Manager for Risk Advisory to shape product strategy and roadmaps for AI-native software used by major accounting and…
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About This Role
Fieldguide is seeking a Principal or Staff Product Manager for Risk Advisory to shape product strategy and roadmaps for AI-native software used by major accounting and advisory firms. Operating as a remote-first company headquartered in San Francisco, Fieldguide builds automation tools designed to assist practitioners in audit, tax, and advisory sectors. In this role, you will lead the evolution of AI agents that manage the entire advisory engagement lifecycle, moving…
Job Description
Fieldguide is seeking a Principal or Staff Product Manager for Risk Advisory to shape product strategy and roadmaps for AI-native software used by major accounting and advisory firms. Operating as a remote-first company headquartered in San Francisco, Fieldguide builds automation tools designed to assist practitioners in audit, tax, and advisory sectors. In this role, you will lead the evolution of AI agents that manage the entire advisory engagement lifecycle, moving from individual tasks to comprehensive oversight across frameworks like SOC, PCI, and HITRUST.
This position involves defining how professionals supervise autonomous agents, establishing evaluation metrics, and collaborating closely with engineering, design, and AI quality teams. You will engage directly with partners and methodology owners at leading firms, incorporating their feedback into product development while coordinating with sales and marketing teams to drive adoption. This opportunity is suited for a product leader with deep technical fluency and experience in B2B AI agent deployment who wants to impact the future of business trust.
Responsibilities
- Formulate product strategy for end-to-end agentic advisory engagements, overseeing the execution roadmap from planning through testing and review.
- Establish supervisory frameworks for practitioners to monitor agents, handle exceptions, and utilize corrections for continuous agent improvement.
- Collaborate with engineering, design, and AI quality teams to expand agent capabilities across frameworks and engagement phases using measurable evaluations.
- Engage directly with partners, methodology owners, and practitioners at top firms, including conducting on-site visits.
- Partner with customer success, sales, and marketing departments to articulate strategy and encourage adoption among major accounts.
Requirements
- At least 10 years of product management experience, featuring leadership of a major product line at the staff level or equivalent.
- Demonstrated experience launching AI agents in production for B2B products with clear quality and evaluation strategies.
- Familiarity with advisory and assurance frameworks such as SOC 2, PCI, HITRUST, ISO, or NIST, gained either through practitioner experience or software development.
- Technical fluency to discuss LLM and agent architecture, evaluations, and technical trade-offs with engineers.
- Ability to maintain strategic positions under commercial pressure while remaining open to valid counterarguments.
Core Skills
Benefits
- Competitive compensation packages featuring meaningful ownership
- Flexible paid time off
- 401k plan
- Wellness benefits including free therapy sessions
- Technology and work-from-home reimbursement
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this a remote position?
Yes, Fieldguide operates as a remote-first company that allows employees to work from anywhere, while maintaining a headquarters in San Francisco, CA.
What is the employment type?
The posting specifies that this is a full-time position.
What is the salary for this role?
The job posting does not specify a salary.
What kind of background is required for this role?
Candidates must have at least 10 years of product management experience including staff-level leadership, experience shipping B2B AI agents in production, strong familiarity with advisory and assurance frameworks like SOC, PCI, or HITRUST, and technical fluency with LLM and agent architecture.
Sample Interview Questions
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