AI Product Manager
- Source: LinkedIn
- Uplers
- Hybrid
- Hyderabad
- Full-Time
- Senior
Job Description
**(*Note: This is a requirement for one of Uplers’ client - Regology)
**What do you need for this opportunity?
Must have skills required: ML, Generative AI, Python, AI, Product Management
Regology is Looking for:** **Product Manager – AI Initiatives (Reggi) Location: Hyderabad Department: Product Product Focus: Reggi (Generative AI & Regulatory Intelligence) Role Overview This role owns the strategy for turning Reggi into the defining AI product in regulatory compliance — deciding
where Generative AI creates real customer value versus where it doesn’’'’t, working directly with enterprise clients on
high-stakes accounts, and shaping how a category-defining product goes to market.
You’’'’ll drive the product vision and strategy for Reggi, Regology’’'’s Generative AI conversational assistant, partnering
closely with engineering, legal research, and customer-facing teams to turn complex regulatory compliance
problems into automated, trustworthy solutions.
This is a high-visibility role for someone who is strategic, execution-focused, and able to operate confidently at the
intersection of business, customer, and technology — translating AI capability into market-defining product
decisions.
Key Responsibilities
- AI Product Strategy & Roadmap
- Own the Reggi Roadmap: Shape and execute the strategic roadmap for Reggi, prioritizing capabilities such as cross-jurisdictional research, automated policy drafting, and regulatory summarization based on customer and market impact.
- Identify Market-Defining Opportunities: Spot where Generative AI can solve high-value regulatory problems — moving beyond simple chat interfaces to agentic workflows that extract and draft requirements.
- Own Success Metrics: Define and track what “good” looks like — response accuracy, user trust, and adoption — alongside traditional engagement and business metrics.
- Lead Stakeholder Demos: Regularly present new AI capabilities to senior internal stakeholders and enterprise customers, shaping how the market perceives Reggi’’'’s edge.
- AI Development & Execution
- Drive the Product Lifecycle: Own the end-to-end development lifecycle for AI features using agile methodologies — from scoping and prioritization through validation and deployment — in close partnership with engineering.
- Make the Trust Call: Work with engineering to define “Human-in-the-Loop” processes and citation frameworks so Reggi delivers citable, secure answers customers can rely on.
- Drive Decisions with Data: Use analytics on user queries and model performance to prioritize what gets fixed or built next.
- Govern Responsibly: Ensure product initiatives align with Regology’’'’s AI Risk Management Framework and Responsible AI policies.
- Cross-Functional Collaboration
- Partner with Subject-Matter Experts: Work closely with Legal Research and Content teams to validate AI outputs and ensure the “Smart Law Library” is used effectively.
- Align with Engineering: Collaborate with Data Science, QA, and Knowledge Management teams to ensure infrastructure supports real-time regulatory updates and scalable AI queries.
- Leadership & Evangelism
- Be the Internal Voice of AI: Educate non-technical teams (Sales, Customer Success) on Reggi’’'’s capabilities and limitations to ensure accurate market messaging.
- Build a High-Performance Culture: Foster a collaborative environment that encourages learning and sharing of emerging trends in AI product development.
Requirements Education
- MBA from a top-tier business school (IIMs, ISB) is highly preferred.
- Product Management: Proven experience as a Product Manager in a technology-driven environment, ideally with exposure to AI, Machine Learning, or Data Products.
- AI-Powered Product Experience: Experience managing technology or AI/ML-powered products, with the ability to make informed tradeoffs on model selection, performance, and deployment in partnership with engineering.
- Agile Execution: Strong proficiency in product lifecycle management and agile methodologies adapted for fast-moving AI dev…
Skills
- Python
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