Product Manager Gen AI Security

About Protegrity

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe.

Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you.

The Role: Product Manager Gen AI Security

We are seeking a Product Manager Gen AI Security for our GenAI Product Team to lead the development of tools that secure customer data across AI and ML pipelines. This role will focus on developer-first, privacy-preserving technologies such as tokenization middleware, redaction/rehydration engines, policy-aware guardrails, and observability frameworks for installed software deployed on cloud or on-prem environments.

Responsibilities

• Define and own the roadmap for AI/ML pipeline security tools.
• Deliver developer-focused solutions such as tokenization middleware, redaction engines, guardrails, and observability/tracing.
• Ensure seamless integration with leading AI/ML toolchains (LangChain, Pinecone, Hugging Face, Databricks).
• Conduct market research, customer interviews, and competitive analysis to shape roadmap priorities.
• Define and achieve success metrics tied to adoption, security coverage, and compliance outcomes.
• Ensure adherence to global compliance frameworks (GDPR, HIPAA, ISO/IEC 42001, NIST AI RMF, OWASP).

Qualifications

• 3–6 years of product management experience, preferably in data security, MLOps, or developer tooling.
• Rigorous product development experience required: demonstrated ownership across the entire lifecycle from PRDs and user stories through QA, launch, and iteration.
• Detail-oriented and documentation-driven, able to specify clear requirements and processes.
• Essential: Deep expertise in security/privacy frameworks and compliance standards (GDPR, HIPAA, ISO/IEC 42001, NIST AI RMF, OWASP LLM).
• Technical fluency; able to engage engineering on runtime enforcement, policy-as-code, and GenAI security.
• Experience with developer ecosystems, SDKs, or open-source contributions.
• Strong ability to translate compliance frameworks into product requirements and customer outcomes.

Key Skills/Competency

• Product Management
• GenAI Security
• AI/ML Pipelines
• Data Protection
• Tokenization
• Privacy Frameworks
• Compliance Standards
• Developer Tooling
• Roadmap Ownership
• Market Research