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AI Product Manager

3 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

About Vivriti Group

Vivriti Group is a trailblazer in the mid-market lending space, offering customized debt solutions to mid-sized enterprises. The group operates through two core businesses:

  1. Vivriti Capital Limited

    : A systematically important Non-Banking Financial Company (NBFC ND-SI) regulated by the Reserve Bank of India (RBI). Vivriti Capital has disbursed over USD 3 billion to 300+ enterprise borrowers and holds a CRISIL rating of A+.
  2. Vivriti Asset Management

    : A fixed-income fund manager, managing multiple Alternative Investment Funds (AIFs). With over USD 550 million in commitments from 900+ institutional and private contributors, Vivriti AMC has invested more than USD 600 million across 90+ entities.


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Role Overview

As an AI Product Manager, you will own the end-to-end lifecycle of AI/ML products focused on wholesale lending — from ideation and strategy through development, launch, and iteration. You will work closely with data scientists, engineers, designers, credit, risk and business stakeholders to ensure that our AI initiatives are aligned with user needs and business goals.


Key Responsibilities

  • Define and execute the AI product roadmap in collaboration with leadership and cross-functional teams.
  • Translate business problems into clear AI/ML product requirements.
  • Collaborate with data scientists and engineers to define success metrics, datasets, and model evaluation frameworks.
  • Prioritize product features and improvements based on user research, data analysis, and business value.
  • Ensure model performance, explain ability, fairness, and compliance with ethical standards.
  • Drive experimentation, A/B testing, and iteration cycles for continuous product improvement.
  • Serve as the liaison between engineering, data science, design, and stakeholders to ensure timely and high-quality delivery.
  • Stay abreast of emerging AI trends, technologies, and best practices.

User Experience (UX):

  • Champion a user-centric design approach, working with UX/UI designers to create intuitive, efficient, and delightful user experiences for complex financial workflows.

Performance & Metrics:

  • Define key performance indicators (KPIs) for product success and regularly report on product performance to stakeholders.

Requirement:

Must-Have:

  • Up to 3 years of product management experience, preferably with AI/ML-based products.
  • Basic understanding of machine learning concepts, model lifecycle, and data infrastructure.
  • Proven experience translating complex technical requirements into scalable product solutions.
  • Familiarity with MLOps, model evaluation metrics, and deployment pipelines.
  • Exceptional communication and stakeholder management skills.
  • Experience with agile product development and tools (e.g., Jira, Confluence, Figma, GitHub).

Nice-to-Have:

  • Hands-on experience with data analysis tools (e.g., SQL, Python, Jupyter).
  • Experience with LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems.
  • Background in computer science, engineering, data science, or a related field.
  • Prior startup or high-growth environment experience.

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