This range is provided by Madison-Davis, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$300,000.00/yr - $375,000.00/yr
Overview
Own the global product strategy across Agentic AI automation solutions. Define long-term vision aligned with enterprise automation, AI enablement, and customer value.
Responsibilities
- Build and lead a global team of product managers and cross-functional collaborators across engineering, design, sales, and marketing.
- Drive thought leadership in the development of agentic systems—autonomous software agents capable of decision-making, adaptation, and orchestration across digital workflows.
- Partner closely with enterprise clients and internal stakeholders to capture product feedback, prioritize features, and translate needs into differentiated capabilities.
- Oversee the convergence of RPA, LLMs, and intelligent decisioning to deliver scalable solutions leveraging Blue Prism, Python-based micro-agents, and cloud-native architectures.
- Ensure timely product releases, quality, and enterprise-grade performance across the automation product suite. Implement rigorous product lifecycle governance and roadmap transparency.
- Monitor AI, RPA, and enterprise automation market trends, maintain competitive intelligence, and guide pricing and GTM strategies.
Qualifications
- 12+ years in enterprise product management, including 5+ in a global leadership role
- Proven experience scaling SaaS or intelligent automation products across large enterprise customer bases
- Demonstrated success with AI/ML, RPA (e.g., Blue Prism, UiPath), or intelligent decisioning systems
- Knowledge of Agentic AI, LLM integration, orchestration platforms, and automation frameworks
- Exceptional cross-functional leadership and stakeholder management skills
- Strong commercial acumen with ability to align product strategy to business growth and client needs
- Experience working in highly regulated verticals such as financial services or healthcare is a plus
- Bachelor's degree in Computer Science, Engineering, or related field (MBA preferred)
- Direct experience with Blue Prism platform architecture and ecosystem
- Familiarity with agent-based modeling, autonomous task frameworks, or cognitive automation
- Background in delivering products involving cloud infrastructure, microservices, or hybrid deployment models
- Ability to lead in fast-paced, matrixed, and global environments
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