Principal Product Manager, Relyance AI
Data & AI Security
$210-240k
1-2 days a week in office
AI & data security platform
Job no longer available
AI & data security platform
101-200 employees
Job no longer available
$210-240k
1-2 days a week in office
101-200 employees
Company mission
To secure the future of data-driven enterprises by making every data journey visible, controlled, and compliant, from the first line of code to the final AI output.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
- 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
Our take
Privacy and data governance are essential for businesses to minimize risk and maintain compliance, but modern data flows are difficult to keep track of. Data is shared through code, applications, third-party vendors, and infrastructure, and the manual aggregation of these sources into one place is too laborious for companies to have a comprehensive and holistic view of data risks.
Relyance AI provides a data governance and compliance platform, leveraging machine learning to build a dynamic real-time data inventory for businesses and mapping data flows to identify vulnerabilities. The platform also provides functionality for comparing data flows against contracts automatically, identifying when data processing activity is out of sync with compliance regulations.
While many other startups are leveraging AI to automate compliance and data governance, Relyance AI has focussed on increasing the transparency of data flows through automated mapping. With this approach, the company claims it can increase businesses’ understanding of their data flows and how to keep them compliant, ultimately saving them from expensive legal consequences and reputational damage.
Steph
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Oct 2024
$32m
SERIES B
Sep 2021
$25m
SERIES A
Total funding: $62m
Company HQ
Cuernavaca, Mountain View, CA
Leadership
Leila R. Golchehreh
(Co-Founder & Chief Strategy Officer)Experience as Data Protection Officer for Adaptive Insights. Senior Data Protection Lawyer & Data Protection Officer for Silicon Valley Trust from 2018 to 2020.
Abhi Sharma
(Co-Founder & CEO)Experience as Platform Engineer for AppDynamics. Founding Member and Head of ML & Analytics for FogHorn Systems from 2015 to 2020.
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