Principal Product Manager, Applied AI, Agentic Services Solutions

Role Overview

• 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.

Requirements

• 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.
• Demonstrated ability to build and deliver security focused agentic AI projects using Karpathic loop self-improvement, AI agent creation, and Level 3 agentic processing.
• Proven delivery of retrieval-based systems, copilots, agents, tool use, and evaluation, with human oversight.
• 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.

Tech Stack

• Cyber Security
• Go

Benefits

• Competitive compensation
• Comprehensive benefits
• Career success on your terms
• Flexible work environment
• Annual wellness and community outreach days
• Always on recognition for your contributions
• Global collaboration and networking opportunities