NewRocket
Product Manager (Agentic AI)
India- Remote · Work style not stated
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About the role
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- EmployerNewRocket
- LocationIndia- Remote
- Work styleWork style not stated
- Employer posted
Job Title: Agentic AI Product Manager
Location: India
Reports to: Agentic AI COE Leader
Position Overview:
We are seeking a highly motivated Agentic AI Product Manager to drive the market launch and IP roadmap of our innovative AI-powered solutions collaborating with sales, marketing, consulting and development. This role will work closely with the Agentic AI COE Leader to transform cutting-edge technologies—including autonomous agents, LLMs, and multi-agent systems—into scalable, customer-centric products integrated with platforms like ServiceNow.
The ideal candidate will have strong experience in AI product lifecycle management, cross-functional collaboration, and aligning technology capabilities with business goals.
Key Responsibilities:
Product Strategy & Market Analysis
- Understand competitive market intelligence and conduct research to inform our AI roadmap and features while ensuring product/market fit.
Show full description
- 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
Cross-functional Collaboration
- 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
AI IP Development
- 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.
Market Awareness & Launch
- 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
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Business, Engineering, or a related field.
- 9+ 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
Preferred Skills:
- 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.
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