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Job Description

SpyCloud is building Investigations capabilities that help teams move from leads to answers faster, with AI and automation designed around real investigative workflows. As a hands-on Product Manager for the Investigations product line, you will own key capabilities end to end, aligning customer needs with delivery across Engineering, Design, Data Science, and customer-facing teams.

This role is based in Austin, TX and requires onsite presence. The base salary range for the position is USD 115,000 - 150,000 per year, with support for shipping complex, technical product work in an enterprise environment.

What you will do

  • Own backlog management and delivery for assigned Investigations capabilities, working within the portfolio strategy set by the Principal PM and Director.
  • Ship AI, machine learning, and automation features that reduce manual effort in investigative workflows, partnering with Data Science from problem framing through model evaluation and launch.
  • Build a practical understanding of how customers investigate, including the data they pivot on, the questions they need answered, and where workflows break down.
  • Run discovery for your areas through customer interviews, usability testing, and competitive analysis, translating findings into clear requirements, epics, and user stories.
  • Lead agile execution with Engineering, including sprint planning, backlog refinement, acceptance criteria, and release readiness.
  • Partner with SpyCloud Labs and the Investigations team to turn SpyCloud’s cybercrime data and analytic models into capabilities customers can use directly.
  • Collaborate with Product Marketing, Sales, Customer Success, and Solutions Engineering on launches, including release notes, enablement, demos, and early adoption.
  • Represent your product areas in customer and prospect conversations and act as the internal product expert.
  • Make tradeoff calls on customer requests, technical debt, and new capabilities within scope, and bring larger tradeoffs to the Principal PM and Director with a clear recommendation.
  • Ensure feature consistency across the Investigations UI and programmatic interfaces including API, MCP, and A2A, in partnership with the Principal PM who owns portfolio cohesion.
  • Stay current on developments in AI, threat intelligence, fraud, identity, and digital investigations, bringing relevant opportunities back to the team.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related discipline (or equivalent practical experience).
  • 2+ years of product management experience, including ownership of features or products in enterprise SaaS.
  • Proven ability to ship complex technical features from discovery through launch with Engineering and Design.
  • Experience building products for cybersecurity, fraud prevention, digital identity, threat intelligence, investigations, or adjacent security domains.
  • Experience shipping AI/ML-powered features and working 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.
  • Ability to currently hold, or obtain, a US government Top Secret security clearance.
  • Knowledge of identity security and account takeover, malware ecosystems including infostealers, credential theft, and criminal underground marketplaces.
  • Comfort with APIs, MCP, data platforms, search technologies, and AI-assisted workflows.
  • Enough 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, analytical thinking, and customer-first mindset, with clear written and verbal communication.
  • Comfort presenting to customers and senior leaders and making decisions with incomplete information in a fast-moving environment.
  • Ability to build trust and alignment across technical 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.
  • Occasional travel for customer meetings, industry events, and internal planning sessions.

Technologies

  • API, MCP, A2A
  • LLMs
  • Linear, JIRA, Confluence
  • Productboard, Figma

Benefits

  • 401(k) with Employer Contribution
  • Health, Vision, and Dental Insurance
  • Health Savings Account (HSA) available with Employer Contribution
  • Employer Paid Life, Short-term, and Long-term Disability Insurance
  • Generous PTO Plan and 16 paid holidays per year
  • Retirement Savings Plan with Employer Contribution
  • Employer Provided Private Health Insurance and Healthcare Cashplan
  • Employer Paid Life Insurance, Income Replacement, and Critical Illness Protection
  • Employee Assistance Program
  • 25 days annual accrued holiday plus 8 paid bank holidays and a paid company shutdown during winter holidays

Nice to have

  • Prior experience as a threat intelligence analyst, fraud investigator, or SOC analyst.
  • 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 (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.

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