Senior AI Product Manager

Role

Accellor seeks a Senior AI Product Manager to lead definition, shaping, and execution of enterprise AI products and features for global clients. This is an enterprise-facing, high-ownership role that combines product judgment, AI fluency, consulting maturity, and hands-on problem solving.

Key Responsibilities

• Own product definition and execution of enterprise AI applications, workflows, and features from discovery through release and adoption.
• Work directly with clients and internal stakeholders to identify business problems, frame opportunities, and convert them into clear product requirements and delivery plans.
• Shape AI-first user experiences including copilots, assistants, agentic workflows, decision-support tools, and human-in-the-loop applications.
• Translate ambiguous business needs into structured artifacts: problem statements, user journeys, PRDs, acceptance criteria, prioritization frameworks, and release scope.
• Partner with engineering, UX, architecture, and delivery teams to translate product intent into practical, scalable solutions.
• Drive workshops, discovery sessions, stakeholder reviews, demos, and alignment discussions with enterprise clients and senior stakeholders.
• Build lightweight prototypes and proof-of-concepts using modern AI tools, no-code/low-code methods, vibe coding, and basic design/prototyping techniques.
• Define and refine AI use cases involving agents, orchestration, retrieval, workflow automation, and enterprise system integration.
• Manage client expectations, support value realization and account growth, and contribute to a culture of experimentation and accountability.

What Success Looks Like

• Enterprise AI products and features are clearly defined, prioritized, shipped, and adopted.
• Clients view the product manager as a credible partner who balances business value and execution constraints.
• Product requirements are crisp and actionable, enabling teams to reduce ambiguity and move to delivery.
• AI use cases evolve from demos into usable workflows solving operational problems and enabling account expansion.

Requirements

• 7–14 years of experience in Product Management, Business Analysis, Consulting, Enterprise Software, Digital Products, or related technology roles.
• Demonstrated experience with software products, platforms, or enterprise applications in client-facing environments.
• Good understanding of AI/ML and Generative AI concepts and practical exposure to AI-enabled product design and delivery.
• Exposure to agent-based/agentic workflows or AI-driven assistants/copilots in a product or solution context.
• Strong experience in requirements discovery, user story definition, prioritization, stakeholder management, and cross-functional execution.
• Strong written and verbal communication skills and high attention to detail.
• Hands-on mindset: willingness to prototype, experiment, and validate quickly.
• Comfortable working in ambiguous, fast-evolving environments.

Preferred Qualifications

• Prior consulting or client advisory experience.
• Experience with enterprise domains, workflow systems, platform integrations, or business process automation.
• Background as a software engineer or strong technical foundation.
• Experience creating prototypes using AI coding tools, prompt-based development, wireframing, or lightweight design tools.
• Strong educational background from top-tier institutions is preferred.

Skills and Capability Areas

• AI product thinking and practical Generative AI application
• Agentic workflow understanding and AI feature conceptualization
• Enterprise product management and requirements rigor
• Client-facing communication and consulting maturity
• Hands-on prototyping, experimentation, and validation
• Cross-functional collaboration with engineering, UX, and delivery
• Strong execution discipline, attention to detail, and commercial awareness

Location & Reporting

• Based in Hyderabad or Bangalore. Travel may be required for client and project needs.
• Reports to the Head of Global Delivery and partners with Product, Engineering, Design, Delivery, and Client Engagement leadership.

Benefits

• Flexible work schedules and opportunities to work from home
• Paid time off and public holidays
• Competitive salaries and annual performance bonuses
• Family medical insurance and Personal Accident Insurance
• Periodic health awareness programs
• Extended maternity leave
• Referral bonuses
• Learning & Development programs, professional certifications, and training
• Opportunities to collaborate internationally and work across global centers