Protegrity

Product Manager

• Define and execute the roadmap for intelligent, user-facing GenAI features.
• Deliver solutions such as conversational assistants, policy advisors, and agentic solutions.
• Partner with customers and design partners to validate new features and accelerate adoption.
• Conduct market research, user research, and competitive analysis to guide product decisions.
• Define and achieve success metrics around increased sales, retention uplift, and user satisfaction.
• Ensure features meet strict security and privacy standards (GDPR, HIPAA, ISO/IEC 42001, NIST AI RMF, OWASP Top 10 for LLM, OWASP Top 10 for Agents).

Product Manager, GenAI

Product Marketing

• Develop technical, outcome driven positioning and messaging for Protegrity’s data security and AI capabilities, grounded in customer pain, risk, and compelling business events
• Translate complex technologies (e.g., semantic encryption, knowledge graph protection) into clear, actionable narratives for data, AI, and security buyers
• Own the end-to-end Data & AI go-to-market narrative, ensuring all launches, campaigns, and sales motions align to a cohesive market story
• Build and operationalize launch frameworks rooted in customer pain hypotheses, target personas, proof points, and sales motion (not feature-driven messaging)
• Partner closely with Product Management and Engineering to shape roadmap narrative and ensure strong product-market fit for data and AI use cases
• Create high-quality technical content and thought leadership (reference architectures, whitepapers, blogs, demos, webinars) that resonates with both executives and practitioners
• Lead developer marketing and community engagement, building adoption with AI/ML developers, data engineers, and platform teams through technical content and ecosystem presence
• Drive cross-functional GTM execution, including sales plays, enablement, partner co-sell motions, and competitive positioning, while acting as the voice of the customer across Product, Sales, Alliances, and Leadership

Director of Data & AI Product Marketing

Implementation Specialist

• Lead end‑to‑end implementation and validation of platform components across complex client environments
• Act as the technical escalation point for delivery challenges and critical customer engagements
• Mentor and guide Senior Implementation Engineers; raise the bar on delivery quality and best practices
• Drive installations, configuration, and performance validation for enterprise deployments
• Lead troubleshooting and optimization during key delivery milestones and customer technical discussions
• Own time boxed discovery and design work (approximately 30% of the role) when the Lead Architect is unavailable
• Partner with the Lead Architect on architecture reviews and peer design sessions
• Define and evolve technical delivery standards, frameworks, and reusable assets

Product Manager, GenAI

Director of Data & AI Product Marketing

Principal Implementation Engineer