We are seeking an experienced

AI Product Manager

to lead the strategy, roadmap, and execution of AI-powered products. This role requires a deep understanding of

AI/ML applications, user behaviour, and market dynamics

, combined with the ability to collaborate across global and regional teams. While product management will be the core responsibility,

technical/architectural knowledge

will be considered a strong plus.

Key Responsibilities

Product Strategy & Roadmap

• Own the

AI product strategy and roadmap

, ensuring alignment with company-wide goals.

• Identify opportunities to embed

AI/ML capabilities

across features, UI/UX, personalization, automation, payments, and customer experience.

• Prioritise initiatives based on

business impact, user value, and technical feasibility

.

User & Market Understanding

• Deeply understand

user behaviour, cultural nuances, and commercial dynamics

through research, data insights, and market analysis.

• Act as the

voice of users

, advocating for their needs and preferences in product development.

• Ensure AI products are built with

ethical, explainable, and responsible practices

.

Product Development & Execution

• Collaborate cross-functionally with

engineering, research, design, and global/regional teams

to define, build, test, and launch high-impact features.

• Drive the

end-to-end product lifecycle

— from ideation to rollout, measuring success, and iterating based on feedback.

• Combine

big-picture thinking with hands-on execution

, and step into the details when needed.

Qualifications

Must-Have

• 4-5 years of product management experience

, including ownership of product strategy and execution in cross-functional settings.

• Proven experience in

AI products

, with a strong understanding of

user behaviour and market dynamics

.

• Strong understanding of

AI/ML concepts, data-driven product development, and user engagement strategies

.

• Excellent communication and leadership skills with the ability to build

alignment across global teams

.

• Demonstrated ability to thrive in

ambiguous environments

, solve hard problems, and approach decisions with a

first-principles mindset

.

Good-to-Have (Technical/Architectural Knowledge)

• Familiarity with

software/system architecture

, APIs, and cloud infrastructure.

• Exposure to

scalable AI systems, MLOps, and distributed computing

.

• Understanding of

data engineering, microservices, and DevOps practices

.