AI Product Engineer

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