Product Manager, Investigations (Cybersecurity)

Location: Austin, Texas; remote-first environment with flexible remote-friendly work options and occasional travel for customer meetings, industry events, and internal planning sessions. The role requires holding or being capable of obtaining a U.S. government Top Secret security clearance.

Base salary: $115,000–$150,000 per year.

Company

hirify.global is a cybersecurity product company that transforms recaptured darknet data with analytics and AI to disrupt cybercrime and protect workforce, consumer, and supplier identities.

What you will do

• Manage the backlog and delivery of assigned capabilities in the Investigations product line, from discovery through launch and adoption.
• Ship AI, machine learning, and automation features with Data Science, including problem framing, model evaluation, and launch.
• Research customer investigation workflows through interviews, usability testing, competitive analysis, and product usage analysis; convert findings into requirements, epics, and user stories.
• Lead agile execution with engineering, including sprint planning, backlog refinement, acceptance criteria, and release readiness.
• Turn cybercrime data and analytic models into customer-facing capabilities and coordinate launches with Product Marketing, Sales, Customer Success, and Solutions Engineering.
• Make product tradeoffs, represent the product in customer and prospect conversations, and maintain consistency across the Investigations UI, API, MCP, and A2A interfaces.

Requirements

• 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 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 and working with data science teams on model-driven capabilities.
• Experience working directly with enterprise or government customers, supporting 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, infostealers, credential theft, malware ecosystems, or criminal underground marketplaces; familiarity with APIs, MCP, data platforms, search technologies, and AI-assisted workflows.
• Understanding of enterprise SaaS architecture, modern development practices, product analytics, model performance data, customer usage data, and AI/ML concepts including model lifecycle, data pipelines, and evaluation metrics.
• Experience with Linear, JIRA, Confluence, Productboard, Figma, or similar tools, and strong practical use of AI tools including LLMs for research, requirements, and prioritization.
• Strong product judgment, communication, attention to detail, analytical and problem-solving skills, customer-first mindset, and ability to build alignment across technical, data science, and business teams without direct authority.
• Ability to work effectively in a remote-first, highly collaborative environment and travel occasionally for customer meetings, industry events, and internal planning sessions.

Nice to have

• 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 SOC 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.

Culture & Benefits

• Remote-first, highly collaborative work environment with flexible remote-friendly options and an Austin workspace.
• U.S. full-time benefits include 401(k) employer contribution, health, vision, and dental insurance, HSA contribution, employer-paid life and disability insurance, generous PTO, and 16 paid holidays.
• U.K. full-time benefits include retirement contribution, private health insurance, life and income protection, employee assistance, 25 days of annual holiday, paid bank holidays, and a winter company shutdown.
• Inclusive culture focused on collaboration, innovation, problem-solving, and disrupting the cybercriminal economy.