Senior Technical Product Owner (AI / ML)

Job Title :

Product Owner – AI / ML Experience

Experience : 8–15 Years

Location : Bengaluru (Hybrid)

Company : Vaisesika

About the Role

Vaisesika is seeking an experienced

Product Owner

with a strong background in

AI / ML-driven products

to lead end-to-end product strategy, design, and delivery. The ideal candidate combines deep technical understanding with business acumen to translate complex AI / ML capabilities into impactful, user-centric solutions.

You’ll work closely with engineering, data science, and business stakeholders to define and deliver high-value features powered by artificial intelligence and machine learning.

Key Responsibilities

Own and manage the

AI / ML product roadmap , from ideation to delivery.

Collaborate with

engineering, data science, and business teams

to build intelligent, scalable solutions.

Write detailed

user stories , define

acceptance criteria , and manage the

product backlog .

Translate AI / ML models and insights into

practical business features and automation opportunities .

Apply

Agile methodologies

(Scrum, Kanban, SAFe) for product planning and execution.

Leverage data and performance metrics to drive continuous improvement.

Partner with stakeholders to balance priorities and ensure successful delivery of AI-enabled capabilities.

Stay updated on AI / ML advancements and identify opportunities to integrate new technologies into the product ecosystem.

Qualifications

8–15 years of overall experience, with

3+ years in AI / ML-focused product ownership .

Strong technical understanding of

AI / ML concepts , data pipelines, APIs, and cloud technologies.

Hands-on experience with

Agile tools

such as Jira and Confluence.

Proven ability to collaborate with

data scientists and engineers

to translate technical models into product features.

Excellent communication, stakeholder management, and analytical problem-solving skills.

Exposure to

Generative AI ,

LLMs , or

AI-powered automation

is highly desirable.

Preferred Experience

Background in

software development

or

data engineering .

Domain experience in

eCommerce ,

Healthcare , or

Life Sciences

is a plus.