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.