Principal Product Manager, Investigations

5+ years of product management experience, including ownership of enterprise SaaS products.

5+ years of cyber threat intelligence experience, using OSINT and darknet data to investigate and respond to cybersecurity incidents.

Demonstrated experience leading product strategy and roadmap development for complex technical platforms.

Product launch and evangelism experience in leadership role alongside GTM.

Experience building products for cybersecurity, fraud prevention, digital identity, threat intelligence, investigations, or adjacent security domains.

Experience delivering AI/ML-powered products or features, including working with data science teams and model-driven capabilities.

$162,000 – $210,000

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.

U.S.-Based Benefits + Perks (for Full Time Employees):

At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. In addition to our engaging workspace in South Austin, flexible and remote-friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes:

401(k) with Employer Contribution

Health, Vision, and Dental Insurance

Own the product vision, strategy, and roadmap for SpyCloud's AI-powered Investigations product portfolio.

Identify and drive opportunities to embed AI, machine learning, and automation into investigative workflows.

Develop a deep understanding of customer investigative workflows, threat intelligence use cases, and evolving cybercrime trends.

Translate customer problems, market opportunities, and business objectives into clear product requirements and prioritized roadmaps.

Lead product discovery through customer interviews, usability research, competitive analysis, and market validation, with a focus on AI-enabled solutions.

Partner closely with Engineering, Design, and Data Science throughout the product development lifecycle to deliver intelligent, high-impact capabilities.