Business Manager - Data as a Service (DaaS) Mumbai · 5-9 years · Full-time →

NyaayOS; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

ParamAIQ is seeking a Business Manager for Data as a Service to own the DaaS sub-product end-to-end, driving from solutioning to commercial outcomes in a fast-growing startup environment.

You will manage full P&L accountability, pricing, licensing, and revenue targets, while aligning the roadmap with ParamAIQ's core strategy and product leadership. This role requires a law degree and strategic commercial acumen.

Qualifications

• Law degree with a few years of legal practice (non-negotiable).
• MBA preferred, not mandatory; equivalent commercial and strategic acumen considered in lieu.
• Experience at product/tech companies or consulting (MBB); deep in-house commercial/legal experience at a top-tier firm considered equivalent.
• Demonstrated ownership of commercial or P&L outcomes, or a strong enough consulting/strategy background to take on P&L ownership directly.
• Ability to work directly with legal domain experts and customers, converting insights into structured data product decisions.
• Strong problem-solving and analytical thinking across legal, product, and commercial functions.

Responsibilities

• The DaaS sub-product end-to-end, from solutioning to commercial outcomes.
• Full commercial and P&L accountability: pricing, licensing model, revenue targets, cost base, and margin.
• Keeping the DaaS roadmap architecturally aligned with core ParamAIQ, alongside the Product Lead and Founder's Office.
• The legal data taxonomy and structure for the DaaS layer, translating legal domain expertise into concrete data product specifications.
• Structured customer-side pilots and functional experiments to validate use cases and product-market fit.
• Translating customer and market feedback into functional requirements and solution iterations.
• Scalable, repeatable processes for a fast-growing, early-stage startup environment.

Skills

P&L ownership

Strategic thinking

Analytical thinking

Stakeholder management

Product/tech experience

Education

Law degree

MBA preferred

Job description

You will drive end-to-end delivery of ParamAIQ's legal data and AI initiatives as Business Manager for Data as a Service. Operating at the intersection of law, business, operations, and technology, you will own the DaaS sub-product and its P&L, working with founders, legal experts, product teams, customers, and AI engineers to build high-quality legal datasets that power next-generation AI for India's legal industry.

YOU WILL OWN

• The DaaS sub-product end-to-end, from solutioning to commercial outcomes.
• Full commercial and P&L accountability: pricing, licensing model, revenue targets, cost base, and margin.
• Keeping the DaaS roadmap architecturally aligned with core ParamAIQ, alongside the Product Lead and Founder's Office.
• The legal data taxonomy and structure for the DaaS layer, translating legal domain expertise into concrete data product specifications.
• Structured customer-side pilots and functional experiments to validate use cases and product-market fit.
• Translating customer and market feedback into functional requirements and solution iterations.
• Scalable, repeatable processes for a fast-growing, early-stage startup environment.

WE ARE LOOKING FOR

• Law degree with a few years of legal practice (non-negotiable).
• MBA preferred, not mandatory; equivalent commercial and strategic acumen considered in lieu.
• Experience at product/tech companies or consulting (MBB); deep in-house commercial/legal experience at a top-tier firm considered equivalent.
• Demonstrated ownership of commercial or P&L outcomes, or a strong enough consulting/strategy background to take on P&L ownership directly.
• Ability to work directly with legal domain experts and customers, converting insights into structured data product decisions.
• Strong problem-solving and analytical thinking across legal, product, and commercial functions.

NICE TO HAVE

• Exposure to legal-tech, data licensing, or regulated data products.
• Familiarity with GenAI, LLM, or workflow-automation products.
• Understanding of data taxonomy and domain-specific data product management.
• Familiarity with RAG, agentic AI systems, or AI workflows relevant to legal data.