Senior AI Product Manager
Explicitly mentions vibe coding and rapid prototyping with AI tools; expects hands-on use of no-code/low-code and prompt/AI coding methods.
About the Role
Senior AI Product Manager to define and deliver enterprise AI products and agentic workflows for global clients, combining product strategy, AI fluency, client engagement, and hands-on prototyping. The role requires ownership from discovery through adoption, close cross-functional collaboration, and practical experience applying Generative AI and agent patterns in enterprise settings.
Job Description
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