Principal Product Manager, Investigations

What You'll Do:

• Own the product vision, strategy, and roadmap for SpyCloud's AI-powered Investigations product portfolio.
• Identify and drive opportunities to embed AI, machine learning, and automation into investigative workflows.
• Develop a deep understanding of customer investigative workflows, threat intelligence use cases, and evolving cybercrime trends.
• Translate customer problems, market opportunities, and business objectives into clear product requirements and prioritized roadmaps.
• Lead product discovery through customer interviews, usability research, competitive analysis, and market validation, with a focus on AI-enabled solutions.
• Partner closely with Engineering, Design, and Data Science throughout the product development lifecycle to deliver intelligent, high-impact capabilities.
• Define success metrics and leverage product analytics, model performance data, and customer feedback to continuously improve the product.
• Collaborate with SpyCloud Labs and Investigations teams to operationalize SpyCloud's unique cybercrime data, analytics, and AI models into customer-facing capabilities.
• Partner with Sales, Product Marketing, Customer Success, and Solutions Engineering to ensure successful product launches and customer adoption of AI-driven features.
• Serve as the product subject matter expert for investigations and AI capabilities with customers, prospects, analysts, and internal stakeholders.
• Balance customer requests, technical investments, and strategic AI initiatives while making data-driven prioritization decisions.
• Mentor other product managers in AI product strategy, roadmap planning, and modern product management best practices.
• Stay on the leading edge of AI, cybersecurity, fraud, identity, threat intelligence, and digital investigations trends to identify emerging opportunities.
• Be responsible for advancing and maintaining portfolio cohesion across graphical and programmatic (MCP, API, A2A) interfaces.

Requirements:

Educational Background:

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related discipline, or equivalent practical experience.

Professional Experience:

• 5+ years of product management experience, including ownership of enterprise SaaS products.
• 5+ years of cyber threat intelligence experience, using OSINT and darknet data to investigate and respond to cybersecurity incidents.
• Demonstrated experience leading product strategy and roadmap development for complex technical platforms.
• Product launch and evangelism experience in leadership role alongside GTM.
• Experience building products for cybersecurity, fraud prevention, digital identity, threat intelligence, investigations, or adjacent security domains.
• Experience delivering AI/ML-powered products or features, including working with data science teams and model-driven capabilities.
• Proven success partnering with engineering and data science organizations to deliver customer-centric products from concept through launch.
• Experience working directly with enterprise and government customers to understand workflows and validate product direction.
• Strong track record influencing executive stakeholders and driving cross-functional alignment without direct authority.

Technical Proficiency:

• Working knowledge of cybersecurity concepts, digital investigations, identity intelligence, or threat intelligence platforms is required.
• Experience with cybercrime investigations, digital forensics, fraud operations, or security operations center (SOC) workflows.
• Hands-on experience applying AI or machine learning to investigative, security, or analytics workflows.
• Knowledge of identity security, account takeover, malware ecosystems, credential theft, or criminal underground marketplaces.
• Working knowledge of APIs, MCPs, data platforms, search technologies, analytics, and AI-assisted workflows.
• Strong understanding of enterprise SaaS architecture and modern software development practices.
• Experience using product management and collaboration tools such as Jira, Confluence, Productboard, Figma, or similar platforms.
• Ability to interpret product analytics, model performance data, and customer usage data to guide investment decisions.

Skills:

• Exceptional strategic thinking with the ability to translate vision into executable, AI-enabled roadmaps.
• Outstanding written and verbal communication skills with executive-level presentation capabilities.
• Strong analytical and problem-solving skills with a customer-first mindset.
• Ability to navigate ambiguity and make informed prioritization decisions in a fast-paced, innovation-driven environment.
• Excellent collaboration and stakeholder management skills across technical, data science, and business organizations.
• Demonstrated leadership, influence, and mentoring capabilities.
• Strong familiarity with AI/ML technology concepts, including model lifecycle, data pipelines, and evaluation metrics.

Work Environment:

• Ability to work effectively in a remote-first, highly collaborative environment.
• Occasional travel for customer meetings, industry events, and internal planning sessions.

Nice to Have:

• Currently holds or is capable of obtaining top secret security clearance from the US federal government.
• Strong familiarity with AI/ML technology concepts, including model lifecycle, data pipelines, and evaluation metrics.
• Background working with enterprise security practitioners, fraud teams, or intelligence analysts.
• Experience bringing AI-driven platform capabilities from concept through successful market adoption.
• Familiarity with generative AI, LLMs, or AI-assisted user experiences in enterprise products.