
NeoFinity - Associate Product Manager
3 weeks ago
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: Associate Product Manager.
Location: Lower Parel, Mumbai.
Experience: 1 to 5 years.
Role Overview:
We are looking for an Associate Product Manager to join our team and support the development of AI/ML-driven products.
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:
- Bachelors 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).
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