Product Manager, Investigations

SpyCloud•Austin, TX
•$115,000 - $150,000•Remote

About The Position

The Product Manager, Investigations owns delivery of key capabilities in SpyCloud’s Investigations product line, used by security teams, fraud analysts, investigators, and threat intelligence professionals to uncover, understand, and act on cybercriminal activity using recaptured darknet data. Reporting to the Director of Product, Enterprise & Investigations and working closely with the Principal Product Manager, Investigations, this role translates product strategy into capabilities customers can use. It owns a meaningful share of the Investigations roadmap from discovery through launch and adoption. This is a hands-on, highly cross-functional role involving daily collaboration with Engineering, Design, and Data Science, as well as partnership with SpyCloud Labs, Threat Intelligence, Customer Success, and Go-to-Market teams. SpyCloud expects the Product Manager to build AI into both the product and their own workflow, using AI to gather, organize, prioritize, and define requirements. The position is remote-first and highly collaborative, with occasional travel for customer meetings, industry events, and internal planning sessions. The posted base salary range is $115,000–$150,000. SpyCloud describes separate benefits packages for U.S.-based and U.K.-based full-time employees.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related discipline, or equivalent practical experience.
  • At least 2 years of product management experience, including ownership of features or products in an enterprise SaaS environment.
  • 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 collaboration 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 U.S. government Top Secret security clearance.
  • Knowledge of identity security, account takeover, malware ecosystems including infostealers, credential theft, or criminal underground marketplaces.
  • Comfort with APIs, MCP, data platforms, search technologies, and AI-assisted workflows.
  • Sufficient understanding of 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.
  • Proficiency with AI tools, including LLMs, for research, requirements, and prioritization.
  • Strong product judgment and ability to break a roadmap into well-scoped, shippable increments.
  • Clear, concise written and verbal communication, and comfort presenting to customers and senior leaders.
  • Strong attention to detail.
  • Analytical and problem-solving skills with a customer-first mindset.
  • Sound decision-making with incomplete information in a fast-moving environment.
  • 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 a remote-first, highly collaborative environment.

Nice To Haves

  • Prior experience as a threat intelligence analyst, fraud investigator, or SOC analyst.
  • At least 2 years of experience in cybersecurity, threat intelligence, digital investigations, fraud, or security operations.
  • Working knowledge of cybersecurity operations, threat intelligence platforms, digital investigations, or identity intelligence.
  • Familiarity with cybercrime investigations, digital forensics, fraud operations, or security operations center workflows.
  • Active Top Secret security clearance.
  • Experience with link analysis or graph-based investigation tools.
  • Exposure to SIEM, SOAR, or threat intelligence platform integrations.
  • Experience building agentic AI workflows or products on MCP.

Responsibilities

  • Manage the backlog and delivery for assigned Investigations capabilities in line with portfolio strategy set by the Principal Product Manager and Director.
  • Ship AI, machine learning, and automation features that reduce manual effort in investigative workflows, working with Data Science from problem framing through model evaluation and launch.
  • Develop a working understanding of customer investigation practices, including data pivots, questions to answer, and workflow obstacles.
  • Run discovery through customer interviews, usability testing, and competitive analysis; turn findings into requirements, epics, and user stories.
  • Lead agile execution with the engineering team, including sprint planning, backlog refinement, acceptance criteria, and release readiness.
  • Work with SpyCloud Labs and the Investigations team to turn cybercrime data and analytic models into customer-facing capabilities.
  • Partner with Product Marketing, Sales, Customer Success, and Solutions Engineering on launches, release notes, enablement, demos, and early customer adoption.
  • Represent product areas in customer and prospect conversations and serve as an internal product expert.
  • Make tradeoff decisions within scope regarding customer requests, technical debt, and new capabilities; present larger tradeoffs and recommendations to the Principal Product Manager and Director.
  • Keep features consistent across the Investigations UI and programmatic interfaces, including API, MCP, and A2A, in partnership with the Principal Product Manager.
  • Track developments in AI, threat intelligence, fraud, identity, and digital investigations and bring relevant opportunities to the team.

Benefits

  • 401(k) with employer contribution (U.S.-based employees).
  • Health, vision, and dental insurance (U.S.-based employees).
  • Health Savings Account available with employer contribution (U.S.-based employees).
  • Employer-paid life, short-term disability, and long-term disability insurance (U.S.-based employees).
  • Generous PTO plan and 16 paid holidays per year (U.S.-based employees).
  • Retirement savings plan with employer contribution (U.K.-based employees).
  • Employer-provided private health insurance and healthcare cash plan (U.K.-based employees).
  • Employer-paid life insurance, income replacement, and critical illness protection (U.K.-based employees).
  • Employee Assistance Program (U.K.-based employees).
  • 25 days annual accrued holiday, 8 paid bank holidays, and a paid company shutdown during winter holidays (U.K.-based employees).
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