Product Manager

Summary

Join our team as an Agentic AI Product Manager to spearhead the market launch and IP roadmap of our cutting-edge AI-powered solutions. Collaborate with sales, marketing, consulting, and development teams to transform innovative technologies into scalable, customer-centric products integrated with platforms like ServiceNow. This role requires strong experience in AI product lifecycle management, cross-functional collaboration, and aligning technology capabilities with business goals. You will define product requirements and roadmaps, collaborate with cross-functional teams, manage the product lifecycle from ideation to launch, and ensure product success in the market. The ideal candidate will possess a strong understanding of AI/ML concepts and experience launching enterprise AI solutions. This is a remote position reporting to the Agentic AI COE Leader.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Business, Engineering, or a related field
• 3+ years of experience in product management with a focus on AI, machine learning, or enterprise software
• 7+ years of experience in a consulting or a product company
• Experience integrating AI solutions into platforms like ServiceNow or similar enterprise systems
• Strong understanding of AI/ML concepts including LLMs, autonomous agents, and NLP
• Experience with AI cloud services from AWS, Google GCP, Azure, etc
• Experience in launching enterprise AI solutions with exposure to AI governance, ethics, responsibility, etc
• Experience working in services or consulting environments preferred specifically with AI

Responsibilities

• Understand competitive market intelligence and conduct research to inform our AI roadmap and features while ensuring product/market fit
• Define product requirements and roadmaps in partnership with the Agentic AI COE Leader and cross-functional teams that results in customer impact (cost reduction, time savings, strategic differentiation, etc.)
• Support the COE Leader in assessing AI innovation opportunities across industries. And translate strategic AI innovation goals into tangible product development initiatives
• Identify use cases where agentic AI can enhance and/or orchestrate enterprise workflows, particularly on ServiceNow
• Develop ROI models and frameworks for realizing value of our AI offerings and solutions
• Collaborate with sales, solution consulting, design, engineering, data science, and ServiceNow platform teams to deliver high-impact AI capabilities and IP
• Work closely with client-facing teams to identify POC’s opportunities, prioritize features, gather feedback and ensure adoption (i.e. production rollout) success
• Work with our engineering teams to facilitate the agile development processes, define epics, elaborate user stories, translate and prioritize backlog and conduct retrospectives
• Manage product lifecycle from ideation to launch, with a strong emphasis on usability, performance, ROI and business outcomes
• Ensure products integrate seamlessly with ServiceNow (e.g., ITSM, HRSD, SecOps)
• Oversee feature validation, testing, and iteration using agile methods and customer feedback
• Stay informed on emerging trends in agentic AI, LLMs, multi-agent systems, and enterprise automation
• Evaluate and prioritize experimental ideas, proof-of-concepts, and beta features with our clients and partners
• Participate and orchestrate market awareness events like webinars, client roundtables, analyst presentations, partner briefings, etc
• Assist in developing product marketing collateral such as data sheets, product positioning, FAQ’s, sales enablement, etc
• Ensure product success in market measured by IP and services revenue from AI products and the number of production go-lives

Preferred Qualifications

• Familiarity with ServiceNow’s AI features (e.g., Virtual Agent, Predictive Intelligence)
• Data Science and Python experience
• Understanding of MLOps lifecycle and human-in-the-loop design
• Strong storytelling, prioritization, and stakeholder communication skills
• Industry knowledge in sectors such as BFSI and Telecom, is a plus