Location: Agra

Experience: 3–6 Years

About The Role

We're looking for a commercially-minded Business Product Models Manager to sit at the intersection of AI product strategy and revenue operations. You will own how we take AI-powered products to market — designing pricing architectures, building revenue models, and structuring partnership frameworks that drive sustainable growth. This role is equal parts analyst, strategist, and executor.

Key Responsibilities

Go-to-Market & Pricing

Design and iterate on pricing models (usage-based, seat-based, outcome-based) for AI products targeting enterprise and SMB segments
Conduct competitive pricing analysis and benchmark against industry peers to inform positioning
Collaborate with Sales and Marketing to develop packaging tiers, promotional structures, and launch playbooks
Run pricing experiments — A/B tests, cohort analyses — and synthesise learnings into product and GTM decision

Revenue Modeling & Unit Economics

Build and maintain bottom-up revenue models, forecasting pipelines, and scenario analyses for new and existing AI products
Define and track key unit economics: CAC, LTV, payback period, gross margin, and NRR
Partner with Finance to align product revenue projections with company-level planning and board reporting
Identify revenue leakage points and model the impact of product changes on retention and expansion

Partnership & BD Models

Structure commercial frameworks for channel, reseller, and technology partnerships — including revenue-share, co-sell, and white-label arrangements
Evaluate build-vs-buy-vs-partner decisions using financial models and strategic fit analysis
Support BD negotiations with commercial term sheets, deal models, and sensitivity analyses
Track partnership performance against KPIs and iterate on model terms to optimise mutual value

Cross-functional Collaboration

Work closely with Product, Engineering, and Design to ensure monetisation strategy is embedded in the product roadmap
Present business model recommendations to senior leadership with clear data narratives and trade-off analysis
Maintain a living library of model templates, pricing frameworks, and partnership playbooks

Required Skills

2–5 years of experience in product management, strategy, business operations, or management consulting — with direct exposure to SaaS or AI products
Strong financial modelling skills: comfortable building complex Excel/Sheets models from scratch, including revenue forecasts, cohort models, and scenario trees
Demonstrated experience owning or contributing to a pricing or GTM initiative end-to-end
Analytical mindset: ability to translate ambiguous business questions into structured models and clear recommendations
Excellent written and verbal communication — able to present complex trade-offs concisely to non-technical stakeholders

Nice to Have

Prior experience at an AI-native company, vertical SaaS startup, or edtech/publishing firm
Familiarity with partnership deal structuring (channel, OEM, or API reseller agreements)
Exposure to tools such as Notion, Mixpanel, dbt, or SQL for product and revenue analytics
MBA or equivalent from a reputed institution

Educational Qualification

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field

Candidates with experience in AI product development or AI startups will be preferred

Relevant certifications in AI, Machine Learning, or Product Development will be an added advantage

AI Product Engineer / Business Product Models Manager