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Job Summary:
Proofpoint is a global leader in human- and agent-centric cybersecurity, committed to safeguarding the digital world. They are seeking a Principal Product Manager to lead the development of AI-enabled capabilities that enhance service delivery efficiency and improve customer outcomes. This role will involve identifying high-value opportunities for AI integration, working across teams to implement solutions, and establishing frameworks for evaluating AI projects.
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.
Qualifications:
Required:
• 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:
• 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.
Company:
Proofpoint provides cloud-based email security, e-discovery, and compliance solutions for companies to protect sensitive business data. Founded in 2002, the company is headquartered in Sunnyvale, USA, with a team of 1001-5000 employees. The company is currently Late Stage.