Principal Product Manager, Applied AI & Agentic Services Solutions

About Us:

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work:

At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: 

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Role Overview 

The Services organization is creating a Principal Product Manager, Applied AI & Agentic Solutions role to lead the identification, incubation, and scaling of AI-enabled capabilities across how Proofpoint delivers services and how Services teams operate internally. 

This role sits at the intersection of product management, service operations, applied AI, and workflow innovation. Its charter is to identify high-value opportunities where AI can materially improve service delivery efficiency, analyst productivity, consistency, quality, scalability, and customer outcomes, then drive those opportunities from problem discovery through prototype validation, operational adoption, and transition into durable capabilities or differentiated offerings. 

This is not a traditional feature roadmap PM role. It is a hands-on leadership role for someone who can bring structure to ambiguity, work across organizational boundaries, and translate emerging AI capabilities into practical, measurable business value. 

In this context, “agentic” refers to bounded AI systems that can retrieve context, reason across multi-step workflows, use approved tools, and support or automate actions under defined guardrails and human oversight. Relevant examples may include analyst copilots, knowledge-assisted triage, implementation guidance, workflow orchestration, decision support, case summarization, and quality automation. 

Responsibilities 

• Identify and prioritize high-value opportunities across the Services organization where AI-enabled workflows, automation, and decision support can improve operational efficiency, consistency, quality, scalability, analyst effectiveness, or customer outcomes. 

• Partner with Professional Services, Managed Services, Advisory, Support, threat analysts, domain experts, and Services leadership to understand operational pain points and uncover the highest-leverage use cases. 

• Define clear problem statements, target users, hypotheses, business cases, success metrics, and prioritization criteria for internal and customer-facing AI-enabled solutions. 

• Translate opportunities into clear requirements, workflow designs, and operating concepts that support rapid prototyping, cross-functional alignment, and scalable execution. 

• Lead the design and validation of AI-powered workflows, including retrieval-based systems, copilots, workflow orchestration, bounded agent behaviors, approved tool use, human-in-the-loop review, and operational guardrails. 

• Work closely with engineering and technical partners to rapidly prototype, test, and refine solutions in production-adjacent environments. 

• Coordinate prototype demonstrations and stakeholder reviews to gather feedback, align on direction, and accelerate decision-making. 

• Use structured project management practices and tools such as Jira to track initiatives, surface dependencies, and help inform prioritization and resourcing decisions for AI systems development.