AI Product Engineer / Business Product Models Manager, Agra

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 playbooksRun 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 reportingIdentify 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 analysesTrack 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 analysisMaintain 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 treesDemonstrated 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 stakeholdersNice 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 institutionEducational 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