Associate Product Manager

About Neo Group:

Neo is a new-age, focused Wealth and Asset Management platform in India, catering to HNIs, UHNIs and multi-family offices. Neo stands on its three pillars of unbiased advisory, transparency and cost-efficiency, to offer comprehensive, trustworthy solutions. Founded by Nitin Jain (ex-CEO of Edelweiss Wealth), Neo has amassed over USD 3 Billion (₹25,000 Cr.) of Assets Under Advice within a short span of 2 years since inception, including USD 360 Million (₹3,000 Cr.) Assets Under Management. We have recently partnered with Peak XV Partners via a USD 35 Million growth round.

To know more, please visit: www.neo-group.in

Position:

Location:

Experience:

Role Overview:

Associate Product Manager

In this role, you will work closely with product managers, data scientists, and engineers to help define, build, and improve AI-powered solutions. You will gain hands-on experience in managing ML products, understanding customer needs, and contributing to product roadmaps.

Key Responsibilities:

• Assist in defining and prioritizing the

  product roadmap

  for AI/ML-driven solutions.
• Collaborate with

  data scientists, engineers, and designers

  to build and improve ML-powered features.
• Conduct

  market research and user feedback analysis

  to understand customer needs.
• Write and maintain

  product requirements, user stories, and feature documentation

  .
• Support product managers in tracking

  key performance metrics (KPIs)

  and making data-driven decisions.
• Help ensure smooth product development by coordinating between

  technical and non-technical teams

  .
• Stay up to date with industry trends in

  AI/ML and product management

  .

Required Skills & Qualifications:

Product Management Skills:

• Basic understanding of

  product development lifecycles

  and Agile methodologies.
• Strong analytical skills with the ability to interpret

  user data and feedback

  .
• Good communication and problem-solving skills.
• Ability to work collaboratively in

  cross-functional teams

  .

Machine Learning & Technical Skills:

• Basic knowledge of

  AI/ML concepts

  , such as supervised/unsupervised learning and model evaluation.
• Familiarity with tools like

  Python, SQL, or ML platforms

  (optional but a plus).
• Understanding of how ML models are

  built, deployed, and monitored

  (even if theoretical).

Preferred Qualifications:

• Bachelor’s degree

  in Computer Science, Data Science, AI, Business, or a related field.
• Internship or academic projects related to

  AI, ML, or product management

  .
• Basic experience with

  data analysis tools

  (Excel, SQL, Google Analytics).