Relyance AI
Principal Product Manager - Data & AI Security
Relyance AI, San Francisco, California, United States, 94199
Principal Product Manager - Data & AI Security
Relyance AI is redefining how organizations
secure, govern, and trust AI systems and data
in the era of intelligent, agentic software. As our
Principal Product Manager – Data & AI Security , you’ll lead strategy and execution for Relyance AI’s next-generation security offerings — spanning
AI Security Posture, AI Runtime Protection, and Dynamic Data Security
for enterprise AI environments.
This role demands both
strategic vision
and
deep technical understanding.
You’ll help shape the product roadmap, translate customer and market insights into action, and partner closely with Engineering, GTM, and Customer Success teams to deliver scalable, trustworthy solutions that protect sensitive data across AI models, applications, and agent-driven workflows.
Key Responsibilities
Define and drive the Data & AI Security roadmap
— shaping how enterprises protect sensitive data and AI systems across cloud, model, and runtime environments.
Deeply understand customer needs and workflows
— how data moves through AI models, APIs, and
agentic workflows
— to identify risks and uncover opportunities for protection and visibility.
Translate strategy into clear product requirements and measurable outcomes , ensuring alignment across engineering, design, and go-to-market teams.
Lead the end-to-end product lifecycle
— from concept and design through launch, adoption, and continuous improvement — balancing innovation with reliability and trust. Collaborate cross-functionally:
With
Engineering , to design scalable and secure data and AI protection capabilities.
With
GTM and Marketing , to position and launch differentiated offerings.
With
Executives , to align roadmap priorities with company strategy.
With
Customers , to validate real-world use cases and drive adoption.
Stay ahead of emerging threats and technologies
in AI, data, and runtime security — including AI agents, orchestration frameworks, and autonomous execution patterns.
Why This Role Matters
This is a 0→1 opportunity to shape how enterprises secure data and AI systems in production — from traditional workloads to autonomous, agent-driven applications.
You’ll help define the future of Data and AI Security, bridging visibility, protection, and trust across the entire lifecycle of data, models, and AI interactions.
You’ll work at the intersection of security engineering, AI behavior, and enterprise trust, enabling organizations to adopt AI securely and responsibly.
Ideal Candidate
10+ years of product management experience building and shipping enterprise or cloud-security products.
3+ years in
Data, Cloud, or AI Security , with hands-on understanding of data protection challenges in AI-driven environments.
Demonstrated knowledge of agentic AI systems
(e.g., LLM-based agents, orchestration frameworks, autonomous workflows).
Strong understanding of AI security risks
(e.g., prompt injection, privilege escalation, model manipulation, compliance gaps).
Proven ability to translate complex technical and regulatory needs into clear product outcomes.
Technical fluency with APIs, data systems, or AI-enabled applications.
Excellent communication and storytelling skills — able to align executives, customers, and engineering on shared priorities.
A hands-on, outcome-driven mindset that thrives in fast-moving 0→1 environments.
Bonus Points
Experience in
AI or ML-based product development .
Familiarity with frameworks such as
ISO 42001 ,
NIST AI RMF , or
EU AI Act .
Background in
data governance , Application security or
runtime observability .
Passion for building trust at the intersection of
AI innovation and security .
Who are we?
At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both.
Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $210,000 to $240,000.
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secure, govern, and trust AI systems and data
in the era of intelligent, agentic software. As our
Principal Product Manager – Data & AI Security , you’ll lead strategy and execution for Relyance AI’s next-generation security offerings — spanning
AI Security Posture, AI Runtime Protection, and Dynamic Data Security
for enterprise AI environments.
This role demands both
strategic vision
and
deep technical understanding.
You’ll help shape the product roadmap, translate customer and market insights into action, and partner closely with Engineering, GTM, and Customer Success teams to deliver scalable, trustworthy solutions that protect sensitive data across AI models, applications, and agent-driven workflows.
Key Responsibilities
Define and drive the Data & AI Security roadmap
— shaping how enterprises protect sensitive data and AI systems across cloud, model, and runtime environments.
Deeply understand customer needs and workflows
— how data moves through AI models, APIs, and
agentic workflows
— to identify risks and uncover opportunities for protection and visibility.
Translate strategy into clear product requirements and measurable outcomes , ensuring alignment across engineering, design, and go-to-market teams.
Lead the end-to-end product lifecycle
— from concept and design through launch, adoption, and continuous improvement — balancing innovation with reliability and trust. Collaborate cross-functionally:
With
Engineering , to design scalable and secure data and AI protection capabilities.
With
GTM and Marketing , to position and launch differentiated offerings.
With
Executives , to align roadmap priorities with company strategy.
With
Customers , to validate real-world use cases and drive adoption.
Stay ahead of emerging threats and technologies
in AI, data, and runtime security — including AI agents, orchestration frameworks, and autonomous execution patterns.
Why This Role Matters
This is a 0→1 opportunity to shape how enterprises secure data and AI systems in production — from traditional workloads to autonomous, agent-driven applications.
You’ll help define the future of Data and AI Security, bridging visibility, protection, and trust across the entire lifecycle of data, models, and AI interactions.
You’ll work at the intersection of security engineering, AI behavior, and enterprise trust, enabling organizations to adopt AI securely and responsibly.
Ideal Candidate
10+ years of product management experience building and shipping enterprise or cloud-security products.
3+ years in
Data, Cloud, or AI Security , with hands-on understanding of data protection challenges in AI-driven environments.
Demonstrated knowledge of agentic AI systems
(e.g., LLM-based agents, orchestration frameworks, autonomous workflows).
Strong understanding of AI security risks
(e.g., prompt injection, privilege escalation, model manipulation, compliance gaps).
Proven ability to translate complex technical and regulatory needs into clear product outcomes.
Technical fluency with APIs, data systems, or AI-enabled applications.
Excellent communication and storytelling skills — able to align executives, customers, and engineering on shared priorities.
A hands-on, outcome-driven mindset that thrives in fast-moving 0→1 environments.
Bonus Points
Experience in
AI or ML-based product development .
Familiarity with frameworks such as
ISO 42001 ,
NIST AI RMF , or
EU AI Act .
Background in
data governance , Application security or
runtime observability .
Passion for building trust at the intersection of
AI innovation and security .
Who are we?
At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both.
Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $210,000 to $240,000.
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