About the Role
Accellor is looking for an experienced AI Product Manager who can operate at the intersection of product, technology, client engagement, and execution. This is a high-ownership, enterprise-facing role for someone who is excited by the opportunity to shape cutting-edge AI applications, work directly with international clients, and translate complex business problems into scalable AI-enabled products.
The AI Product Manager will lead the definition, shaping, and execution of enterprise AI products and features for global clients. This role requires a rare mix of product judgment, AI fluency, consulting maturity, and hands-on problem solving. You will work closely with clients, engineering teams, designers, and delivery leaders to identify opportunities, define product direction, manage expectations, and bring AI-first solutions to life.
The ideal candidate understands how to apply GenAI and agentic patterns in enterprise contexts, is comfortable navigating ambiguity, and is hands-on enough to prototype ideas, validate concepts quickly, and sharpen requirements through action. This is not a purely roadmap or coordination role. We are looking for someone who can think strategically, engage credibly with clients, and get into the detail when needed.
Key Responsibilities
- Own the 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 enterprise applications.
- Translate ambiguous business needs into structured product artifacts such as problem statements, user journeys, PRDs, acceptance criteria, prioritization frameworks, and release scope.
- Partner closely with engineering, UX, architecture, and delivery teams to ensure product intent is translated into practical, scalable solutions.
- Drive workshops, requirement discovery sessions, stakeholder reviews, demos, and alignment discussions with enterprise clients and senior stakeholders.
- Build lightweight prototypes, proof-of-concepts, and product mock flows using modern AI tools, no-code/low-code methods, vibe coding, and basic design/prototyping techniques where useful.
- Help define and refine AI use cases involving agents, orchestration, retrieval, workflow automation, and enterprise system integration.
- Maintain a sharp eye for detail across business requirements, product behavior, user experience, and delivery quality.
- Manage client expectations proactively by balancing ambition, technical feasibility, timelines, and delivery realities.
- Support value realization and account growth by identifying follow-on product opportunities, expansion areas, and innovation pathways within client accounts.
- Contribute to a product and delivery culture that values speed, clarity, experimentation, accountability, and customer impact.
What Success Looks Like In This Role
- Enterprise AI products and features are clearly defined, well-prioritized, and shipped with strong adoption potential.
- Clients see you as a credible product partner who understands both business value and execution constraints.
- Product requirements are crisp, actionable, and reduce ambiguity for delivery teams.
- AI use cases move beyond demos into usable workflows that solve real operational problems.
- Teams make faster, better decisions because product direction, scope, and trade-offs are well managed.
- Client confidence improves through strong communication, attention to detail, and disciplined expectation management.
- You help create momentum for account expansion by spotting practical product and AI opportunities that clients want to invest in.
Requirements
- 7-14 years of experience in Product Management, Business Analysis, Consulting, Enterprise Software, Digital Products, or related technology roles.
- Demonstrated experience working on software products, platforms, or enterprise applications in client-facing environments.
- Good understanding of AI/ML and Generative AI concepts, with practical exposure to AI-enabled product design and delivery.
- Exposure to building or shaping 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.
- Ability to engage confidently with enterprise clients, business users, engineering teams, and senior internal stakeholders.
- Strong written and verbal communication skills, with the ability to simplify complexity and present with clarity.
- High attention to detail and the ability to manage product quality and client expectations in parallel.
- A hands-on mindset with the willingness to prototype, experiment, and validate ideas quickly rather than rely only on documentation.
- Comfort working in ambiguous, fast-evolving environments where AI capabilities, client needs, and product direction are still being shaped.
Preferred Qualifications
- Prior experience in a consulting or client advisory environment is highly desirable.
- Exposure to enterprise domains and business applications is preferred.
- Experience supporting farming-led account expansion, identifying opportunities within existing accounts, or helping grow strategic client relationships is a strong plus.
- Background as a Software Engineer or strong technical foundation is preferred.
- Familiarity with enterprise workflow systems, platform integrations, business process automation, or complex multi-stakeholder applications is a plus.
- Experience creating basic prototypes independently using AI coding tools, prompt-based development, wireframing, or lightweight design tools.
- Strong educational background from top-tier institutions is preferred, including IIMs, IITs, BIT Mesra, BITS Pilani, top NITs, or equivalent institutions.
Skills And Capability Areas
- AI product thinking and practical GenAI 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 and attention to detail.
- Commercial awareness and account growth mindset.
Who Will Thrive Here
You are likely to thrive in this role if you are someone who enjoys building in fast-moving environments, likes solving messy enterprise problems, and can move comfortably between strategy and execution. You are structured but not rigid, hands-on but not narrow, and client-focused without losing product depth. You bring ownership, curiosity, and pragmatism. You know how to earn trust in a room, ask the right questions, and turn ambiguity into action.
You should also enjoy working at the frontier of enterprise AI, where the best solutions require not only product thinking and technical awareness, but also judgment, experimentation, and strong partnership with clients and delivery teams.
Why Join Accellor
This is an opportunity to play a meaningful role in shaping real enterprise AI products, not just internal experiments or slide decks.