Product Manager, Investigations

SpyCloud•Austin, TX

14h•$115,000 - $150,000•Remote

About The Position

SpyCloud is hiring a Product Manager to own delivery of key capabilities in its 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. The role turns product strategy into customer-facing capabilities and owns a meaningful portion of the roadmap, from discovery through launch and adoption. This is a hands-on, highly cross-functional role working daily with Engineering, Design, and Data Science, and in partnership with SpyCloud Labs, Threat Intelligence, Customer Success, and Go-to-Market teams. The company expects the Product Manager to integrate AI into both the product and their work, including using AI to gather, organize, prioritize, and define requirements. The role reports to the Director of Product, Enterprise & Investigations and works closely with the Principal Product Manager, Investigations. The position is remote-first, with occasional travel for customer meetings, industry events, and internal planning sessions. SpyCloud offers U.S.- and U.K.-based benefits for full-time employees. The U.S. base salary range is $115,000–$150,000.

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 discuss 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 and ability to break a roadmap 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 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 SOC workflows.
Active Top Secret security clearance.
Experience with link analysis or graph-based investigation tools.
Exposure to SIEM, SOAR, or threat intelligence platform (TIP) 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.
Ship AI, machine learning, and automation features that reduce manual work in investigative workflows, partnering with Data Science from problem framing through model evaluation and launch.
Develop an understanding of customer investigation practices, including data pivots, questions to answer, and workflow challenges.
Conduct customer interviews, usability testing, and competitive analysis; translate 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 usable product 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 act as the product expert for internal teams.
Make tradeoff decisions on customer requests, technical debt, and new capabilities within assigned scope; bring larger tradeoffs to the Principal Product Manager and Director with a recommendation.
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 identify relevant opportunities.
Use AI tools to support research, requirements, and prioritization.

Benefits

U.S. full-time employees: 401(k) with employer contribution.
U.S. full-time employees: Health, vision, and dental insurance.
U.S. full-time employees: Health Savings Account (HSA) available with employer contribution.
U.S. full-time employees: Employer-paid life, short-term disability, and long-term disability insurance.
U.S. full-time employees: Generous PTO plan and 16 paid holidays per year.
U.K. full-time employees: Retirement Savings Plan with employer contribution.
U.K. full-time employees: Employer-provided private health insurance and healthcare cash plan.
U.K. full-time employees: Employer-paid life insurance, income replacement, and critical illness protection.
U.K. full-time employees: Employee Assistance Program.
U.K. full-time employees: 25 days annual accrued holiday, 8 paid bank holidays, and a paid company shutdown during winter holidays.
Flexible and remote-friendly work options.
Competitive salary package.