Principal Product Manager (Investigations)

Join SpyCloud as a Principal Product Manager, where you will define and drive the AI-forward product strategy for our investigations capabilities. You will work closely with cross-functional teams, including Engineering, Design, Data Science, and Sales, to deliver innovative, AI-driven capabilities that help customers investigate threats faster and make more informed security decisions.

• Definir y dirigir la estrategia de producto impulsada por IA para las capacidades de investigación de SpyCloud.
• Identificar y promover oportunidades para integrar la IA, el aprendizaje automático y la automatización en los flujos de trabajo de investigación.
• Desarrollar una comprensión profunda de los flujos de trabajo de investigación del cliente, los casos de uso de inteligencia de amenazas y las tendencias en cibercriminalidad.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related discipline, or equivalent practical experience
• 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 working directly with enterprise and government customers to understand workflows and validate product direction
• Proven success partnering with engineering and data science organizations to deliver customer-centric products from concept through launch
• 5+ years of product management experience, including ownership of enterprise SaaS products
• Strong track record influencing executive stakeholders and driving cross-functional alignment without direct authority
• 5+ years of cyber threat intelligence experience, using OSINT and darknet data to investigate and respond to cybersecurity incidents
• Experience delivering AI/ML-powered products or features, including working with data science teams and model-driven capabilities
• Strong understanding of enterprise SaaS architecture and modern software development practices
• Ability to interpret product analytics, model performance data, and customer usage data to guide investment decisions
• Working knowledge of APIs, MCPs, data platforms, search technologies, analytics, and AI-assisted workflows
• Knowledge of identity security, account takeover, malware ecosystems, credential theft, or criminal underground marketplaces
• 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
• Experience using product management and collaboration tools such as Jira, Confluence, Productboard, Figma, or similar platforms
• Working knowledge of cybersecurity concepts, digital investigations, identity intelligence, or threat intelligence platforms is required
• Exceptional strategic thinking with the ability to translate vision into executable, AI-enabled roadmaps
• Demonstrated leadership, influence, and mentoring capabilities
• Excellent collaboration and stakeholder management skills across technical, data science, and business organizations
• Ability to navigate ambiguity and make informed prioritization decisions in a fast-paced, innovation-driven environment
• Outstanding written and verbal communication skills with executive-level presentation capabilities
• Strong familiarity with AI/ML technology concepts, including model lifecycle, data pipelines, and evaluation metrics
• Strong analytical and problem-solving skills with a customer-first mindset
• Ability to work effectively in a remote-first, highly collaborative environment
• Currently holds or is capable of obtaining top secret security clearance from the US federal government
• 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