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 teamsoperateinternally.

This role sits at the intersection of product management service operations applied AI and workflow innovation. Its charter is toidentifyhigh-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 traditionalfeatureroadmap 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

• Identifyand 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 feedbackalign ondirection 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 orretirea solution.

• Identifyreusable capabilities that should evolve into internal platformsdeliveryaccelerators 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 whereappropriate.

• Ensure solutions are designed withappropriate attentionto governance security trust quality and customer impact.

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

• Helpestablisha repeatable model for how Servicesdiscoversincubatesevaluates andscalesAI-enabled solutions over time.

Required Qualifications

• 8 years of product management experience in enterprise software SaaS cybersecurity workflow systems automation orsimilarlytechnical domains.

• Proven ability tointegratedthreat intelligence and vulnerability data into products services and customer facing portals and dashboards. Proof.

• Demonstrated ability to build and deliver security focused agentic AI projects usingKarpathicloop self-improvement AI agent creation and Level 3 agentic processing. Proof.

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

• Experience working closely with engineering teams on security products including Emerging Threats IntelligenceETProRuleset 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 comfortoperatingin 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-adjacentproductor 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 arevalidatedquickly 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 thatbenefitboth internal operators and external customers.

Why This Role Matters

This role is an opportunity to shape how ServicesappliesAI 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.