Principal Product Manager, Applied AI & Agentic Services Solutions

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. 

This role is remote; however, employees located near a company office are welcome to work on-site as desired.

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. 

• Establish evaluation frameworks that measure solution quality, trustworthiness, adoption, business impact, latency, cost, and operational risk. 

• Evaluate prototypes using operational, financial, and user adoption metrics, and make clear recommendations on whether to scale, iterate, operationalize, transition, or retire a solution. 

• Identify reusable capabilities that should evolve into internal platforms, delivery accelerators, packaged services, or customer-facing offers. 

• Partner with Product, Engineering, and Go-To-Market teams to transition validated opportunities toward longer-term ownership, broader rollout, or monetization where appropriate. 

• Ensure solutions are designed with appropriate attention to governance, security, trust, quality, and customer impact. 

• Communicate strategy, tradeoffs, progress, and recommendations clearly to Services leadership and cross-functional stakeholders. 

• Help establish a repeatable model for how Services discovers, incubates, evaluates, and scales AI-enabled solutions over time. 

Required Qualifications 

• 8+ years of product management experience in enterprise software, SaaS, cybersecurity, workflow systems, automation, or similarly technical domains. 

• Proven ability to integrated threat intelligence and vulnerability data into products, services, and customer facing portals and dashboards. Proof required. 

• Demonstrated ability to build and deliver security focused agentic AI projects using Karpathic loop self-improvement, AI agent creation, and Level 3 agentic processing. Proof required. 

• Proven delivery of retrieval-based systems, copilots, agents, tool use, and evaluation, with human oversight. Examples required. 

• Experience working closely with engineering teams on security products including Emerging Threats Intelligence, ETPro Ruleset, and Proofpoint Targeted Attack Protection, internal platforms, workflow systems, and automation solutions. 

• Experience defining success metrics tied to measurable business and operational outcomes such as cycle time, analyst productivity, quality, consistency, adoption, margin, or customer impact. 

• Demonstrated ability to drive cross-functional execution through requirements definition, stakeholder alignment, prototype reviews, and disciplined delivery processes. 

• Strong written and verbal communication skills, with the ability to influence senior technical and non-technical stakeholders. 

• Strong ownership mindset and comfort operating in a fast-moving environment with incomplete information and evolving priorities. 

Preferred Qualifications 

• Experience in Professional Services, Managed Services, Support, Customer Success, threat operations, or other service-adjacent product or operational roles. 

• Experience building or scaling AI-assisted workflow products, analyst tools, internal platforms, or automation systems with measurable adoption and impact. 

• Experience translating internal workflow innovations into scalable external offerings, reusable service accelerators, or productized capabilities. 

• Familiarity with enterprise cybersecurity workflows, analyst operations, and customer environments. 

• Experience with AI governance, evaluation frameworks, rollout criteria, and quality controls in production settings. 

Success in This Role 

• Internal AI-enabled workflows measurably improve service delivery efficiency, analyst productivity, consistency, and quality. 

• Services teams gain scalable, reusable capabilities that improve customer outcomes and operational performance. 

• High-potential ideas are validated quickly and rigorously, with evidence-based decisions on where to scale and where to stop. 

• The most successful internal innovations are translated into differentiated offerings, reusable accelerators, or long-term strategic capabilities. 

• Proofpoint builds durable AI-enabled service advantages that benefit both internal operators and external customers. 

Why This Role Matters 

This role is an opportunity to shape how Services applies AI in real operating environments. Its purpose is not experimentation for its own sake, but building practical, trusted, high-impact capabilities that improve how teams work and how customers experience Proofpoint services. 

For the right leader, this is an opportunity to define a new capability area for Services and help build durable advantage for the organization over time.