Senior Product Marketing Manager, Risk Advisory

Fieldguide builds software that automates and streamlines assurance and audit work. The Senior Product Marketing Manager, Risk Advisory connects Product with go-to-market teams, translating product updates into positioning, messaging, and enablement, and supporting customer advisory and content programs.

Responsibilities:

• Develop clear and compelling product positioning, value propositions, and messaging that differentiates the product from competitors
• Create and maintain buyer personas to better understand target audiences
• Plan and execute go-to-market strategies for product launches
• Collaborate with cross-functional teams, including product, marketing, sales, and customer success
• Develop sales tools and collateral (including, presentations, product demos, white papers, datasheets) to support the sales team
• Train sales teams on product features, benefits, and how to effectively sell the product
• Equip customer success with the messaging and resources they need to drive adoption, retention, and expansion conversations
• Partner with solutions engineers on positioning and demo narratives that support technical evaluations
• Own the Advisory Customer Advisory Board (CAB) program in collaboration with Revenue Marketing, ensuring planning, programming and execution are on-time, on-budget and provide an elevated experience for all stakeholders
• Partner with Revenue Marketing and Product to identify and build additional in-market strategies
• Own the VP of Product blog and internal product newsletter
• Develop webinar content, case studies, testimonials, and other customer proof content in partnership with GTM teams

Requirements:

• 10+ years of product or content marketing experience at advisory or adjacent SaaS organizations
• Strong writer across blogs, newsletters, case studies, and webinars
• Comfortable in a fast moving environment with an evolving roadmap
• A self starter who owns workstreams end to end, communicating status and surfacing blockers proactively
• Strong project management skills, able to prioritize across concurrent workstreams
• Adaptable across tools and systems, with the judgment to find efficiencies and use AI effectively