AI Product Manager

What do you need for this opportunity?

Experience: 2.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office ()

Placement Type: Full Time Permanent position (Payroll and Compliance to be managed by: Regology)

(*Note: This is a requirement for one of Uplers' client - Regology)

Must have skills required: GenAI, LLM, rag, AI, Generative AI, LLMs, NLP, Machine Learning

Regology is Looking for:

Product Manager - AI Initiatives (Reggi)

Location: Hyderabad

Department: Product

Product Focus: Reggi (Generative AI & Regulatory Intelligence)

Role Overview

The AI Product Manager will play a key role in executing the vision and strategy of Reggi, Regology's Generative AI conversational assistant. This individual will drive AI product innovation, working hands-on with cross-functional teams to deliver impactful solutions that automate complex regulatory compliance tasks.

This role requires someone who is strategic, execution-focused, and knowledgeable about the application of LLMs and Generative AI in a high-stakes enterprise environment.

Key Responsibilities

AI Product Strategy & Roadmap

• Execute the "Reggi" Roadmap: Contribute to and execute the roadmap for Reggi, focusing on capabilities such as cross-jurisdictional research, automated policy drafting, and regulatory summarization.
• GenAI Innovation: Identify opportunities to leverage Generative AI to solve specific regulatory problems, moving beyond simple chat interfaces to agentic workflows that extract and draft requirements.
• Success Metrics: Track AI-specific success metrics (e.g., response accuracy, citation validity, user trust, latency) alongside traditional engagement metrics.
• Stakeholder Demos: Regularly demonstrate new AI capabilities (such as improved reasoning or new drafting skills) to internal stakeholders and customers.

AI Development & Execution

• Manage the AI Lifecycle: Drive the end-to-end product development lifecycle for AI features using agile methodologies, from model selection and prompt engineering to validation and deployment.
• Accuracy & Hallucination Management: Work closely with engineering to implement "Human-in-the-Loop" processes and citation frameworks to ensure Reggi provides citable, secure answers without hallucinations.
• Data-Driven Iteration: Leverage analytics on user queries and model performance to fine-tune Reggi’s responses and improve context understanding.
• Ethical AI Implementation: Ensure all product initiatives align with Regology’s AI Risk Management Framework (NIST-based) and Responsible AI policies.

Cross-Functional Collaboration

• SME Partnership: Partner deeply with Legal Research and Content teams to validate AI outputs and ensure the underlying "Smart Law Library" is effectively utilized by the model.
• Engineering Alignment: Collaborate with Data Science, QA, and Knowledge Management teams to ensure the infrastructure supports real-time regulatory updates and scalable AI queries.

Leadership & Evangelism

• AI Evangelism: Act as the internal champion for AI, educating non-technical teams (Sales, CS) on the capabilities and limitations of Reggi to ensure accurate market messaging.
• Collaborative Culture: Foster a high-performance environment that encourages learning, specifically regarding trends in NLP and Generative AI.

Education

• MBA from top-tier business schools (IIMs, ISB) is highly preferred.

Professional Experience

• Product Management: Proven experience as a Product Manager in a technology-driven environment, with a specific focus on AI, Machine Learning, or Data Products.
• GenAI Proficiency: Hands-on experience building or managing products powered by LLMs (OpenAI, Anthropic, open-source models) or NLP technologies.
• Agile Execution: Strong proficiency in product lifecycle management and agile methodologies adapted for AI development cycles.

Skills & Mindset

• Strategic Problem Solver: Ability to analyze complex compliance problems and determine where AI adds genuine value versus where deterministic software is better.
• Customer-Centric: A creative thinker focused on building user-driven solutions that simplify the lives of compliance officers.
• Data-Driven: Ability to utilize analytics, metrics, and insights to inform and validate product decisions.
• Communication: Exceptional verbal and written communication skills to articulate product vision clearly.
• Technical Fluency: Ability to discuss RAG (Retrieval-Augmented Generation), and prompt strategies with engineering teams.

Bonus (Preferred)

• Experience or familiarity with the LegalTech, RegTech, or GRC (Governance, Risk, and Compliance) industry.
• Expertise with text search, vector search, and semantic search.
• Familiarity with AI ethics, bias detection, and risk management frameworks (e.g. NIST AI RMF).

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• Natural Language Processing (NLP)
• Product Management
• AI Product Strategy
• Agile Methodologies
• Data-Driven Decision Making
• Regulatory Compliance
• Retrieval-Augmented Generation (RAG)
• Ethical AI