Enterprise AI Product Manager — GenAI & Agent Workflows

Accellor; Hinoba-an; On-site; PHP 1,989,000 - 3,646,000; Full time

Benefits offered by this job

Flexible work schedules

Work from home options

Paid time off and holidays

Annual performance bonuses

Family medical insurance

Personal accident insurance

Maternity leave

Job summary

Accellor seeks an AI Product Manager to own enterprise AI product definition and delivery for global clients. You will shape AI-first experiences, drive requirements, and partner with engineering, UX, and delivery to ship impactful solutions.

The role blends strategy with hands-on prototyping and client-facing execution in a fast-evolving enterprise AI context. The ideal candidate brings 7–14 years in product or related roles, strong AI/ML knowledge, and proven ability to translate complex

Qualifications

• 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.
• A hands-on mindset with the willingness to prototype, experiment, and validate ideas quickly rather than rely only on documentation.

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-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.

Skills

AI product thinking

Agentic workflows

Enterprise product mgmt

Client-facing communication

Hands-on prototyping

Cross-functional collaboration

Execution discipline

Commercial awareness

Job description

Accellor seeks an AI Product Manager to own enterprise AI product definition and delivery for global clients. You will shape AI-first experiences, drive requirements, and partner with engineering, UX, and delivery to ship impactful solutions.

The role blends strategy with hands-on prototyping and client-facing execution in a fast-evolving enterprise AI context. The ideal candidate brings 7–14 years in product or related roles, strong AI/ML knowledge, and proven ability to translate complex