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Salary: USD 115,000 - 150,000 / annual
SpyCloud is seeking a Product Manager for Investigations to own delivery of key capabilities in the Investigations product line. Security teams, fraud analysts, investigators, and threat intelligence professionals use Investigations to uncover, understand, and act on cybercriminal activity using SpyCloud's recaptured darknet data.
You will report to the Director of Product, Enterprise & Investigations, and work closely with the Principal Product Manager, Investigations. This is a hands-on, highly cross-functional role requiring daily collaboration with Engineering, Design, and Data Science, plus partnerships with SpyCloud Labs, Threat Intelligence, Customer Success, and Go-to-Market teams.
Key responsibilities include:
- Manage backlog and delivery for assigned Investigations capabilities aligned with portfolio strategy
- Ship AI, machine learning, and automation features that reduce manual investigative work, collaborating with Data Science from problem framing through model evaluation and launch
- Develop deep understanding of customer investigation workflows: the data they pivot on, questions they need answered, and workflow bottlenecks
- Run discovery through customer interviews, usability testing, and competitive analysis; translate findings into requirements, epics, and user stories
- Lead agile execution with engineering teams including sprint planning, backlog refinement, acceptance criteria, and release readiness
- Partner with SpyCloud Labs to turn cybercrime data and analytic models into customer-facing capabilities
- Collaborate with Product Marketing, Sales, Customer Success, and Solutions Engineering on launches, enablement, and early adoption
- Represent product areas in customer and prospect conversations; serve as go-to product expert for internal teams
- Make tradeoff decisions on customer requests, technical debt, and new capabilities; escalate larger tradeoffs to Principal PM and Director with clear recommendations
- Maintain feature consistency across Investigations UI and programmatic interfaces (API, MCP, A2A)
- Track developments in AI, threat intelligence, fraud, identity, and digital investigations; identify relevant opportunities
SpyCloud is an AI-forward company; you are expected to build AI into the product and into your working methods, using it to gather, organize, prioritize, and define requirements.
REQUIREMENTS:
- Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or related discipline, or equivalent practical experience
- 2+ years of product management experience, including ownership of features or products in enterprise SaaS
- Track record of shipping complex technical features from discovery through launch with engineering and design teams
- Experience building products for cybersecurity, fraud prevention, digital identity, threat intelligence, investigations, or adjacent security domains
- Experience shipping AI/ML-powered features, including work with data science teams on model-driven capabilities
- Experience working directly with enterprise or government customers to understand workflows and validate product decisions
- Experience supporting product launches with Product Marketing, Sales, and Customer Success
- Currently holds, or is capable of obtaining, a US government Top Secret security clearance
- Knowledge of identity security, account takeover, malware ecosystems (including infostealers), credential theft, or criminal underground marketplaces
- Comfortable with APIs, MCP, data platforms, search technologies, and AI-assisted workflows
- Sufficient depth in enterprise SaaS architecture and modern development practices to work through technical tradeoffs with engineers
- Ability to interpret product analytics, model performance data, and customer usage data
- Experience with Linear, JIRA, Confluence, Productboard, Figma, or similar tools
- Power user of AI tools, including LLMs, for research, requirements, and prioritization
- Strong product judgment with ability to break roadmaps into well-scoped, shippable increments
- Clear, concise written and verbal communication; comfort presenting to customers and senior leaders
- Strong attention to detail
- Analytical and problem-solving skills with customer-first mindset
- Sound decision-making with incomplete information in fast-moving environments
- Ability to build trust and alignment across technical, data science, and business teams without direct authority
- Working familiarity with AI/ML concepts, including model lifecycle, data pipelines, and evaluation metrics
- Ability to work effectively in remote-first, highly collaborative environment
- Occasional travel for customer meetings, industry events, and internal planning sessions
