About the Role

We are looking for an AI Enterprise Product Manager to drive the next phase of evolution of our existing enterprise AI platform. The core platform and several major capabilities are already developed. The mandate for this role is to enhance the product, improve user adoption, strengthen the subscription experience, identify product gaps and continuously evolve the platform based on customer usage and market requirements.

Key Responsibilities

- Own and continuously evolve the product roadmap for an existing AI enterprise platform.
- Deeply understand the current platform, its capabilities, user journeys and architecture, and identify opportunities for enhancement, simplification and better adoption.
- Translate customer feedback, usage patterns, sales inputs and market developments into clearly prioritized product improvements.
- Improve the overall user journey from signup and onboarding to activation, regular usage, subscription and expansion.
- Enhance the platform's subscription model, including plans, feature entitlements, trials, upgrades, usage controls and monetization opportunities.
- Identify friction in the product and improve self-service adoption and time-to-value.
- Work closely with engineering and AI teams to enhance existing capabilities and introduce new features without unnecessarily increasing product complexity.
- Evaluate whether customer requirements should become reusable platform capabilities rather than customer-specific implementations.
- Define detailed PRDs, user stories, workflows, acceptance criteria and release priorities.
- Own prioritization across product enhancements, customer requirements,



technical improvements and strategic platform capabilities.
- Define and track key product metrics including activation, feature adoption, trial conversion, paid conversion, retention, usage and expansion.
- Use product analytics and customer behavior to identify underused capabilities, adoption bottlenecks and opportunities for improvement.
- Conduct regular customer and user discovery to validate product decisions and identify emerging requirements.
- Work closely with Sales, Marketing and Customer Success to ensure alignment between product capabilities, packaging, positioning and customer expectations.
- Continuously track developments across Enterprise AI, AI agents, agentic platforms and enterprise SaaS and translate relevant developments into product decisions.

Required Skills

- Strong experience in B2B SaaS or enterprise product management.
- Strong understanding of subscription-based SaaS products, including onboarding, trials, plans, entitlements, upgrades and usage-based/product-tier monetization.
- Good understanding of enterprise software, workflows and business processes.
- Practical understanding of Generative AI, LLMs, AI agents and agentic workflows.
- Robust ability to evaluate an existing product and identify UX, capability, adoption and monetization gaps.




- Ability to distinguish between a customer-specific requirement and a scalable platform capability.
- Strong experience with product discovery, roadmap prioritization, PRDs, user stories and release management.
- Understanding of SaaS/product metrics including activation, conversion, retention, churn, engagement and expansion.
- Ability to work closely with engineering teams and understand APIs, integrations, data flows and platform concepts.
- Strong analytical, customer-discovery and problem-solving capabilities.
- Ability to operate with significant ownership in a fast-moving product environment.

Required Qualifications

- Bachelor’s degree in Engineering, Computer Science, Information Technology, Business or a related discipline.
- 2–4 years of overall product management experience, preferably in B2B SaaS or enterprise software.
- Demonstrable experience managing and evolving an existing software product or platform, rather than only launching greenfield products.
- Experience working with a subscription-based SaaS product with multiple plans or tiers.
- Experience improving product adoption, onboarding, engagement and conversion.
- Prior exposure to AI/Generative AI, enterprise automation, workflow platforms or developer platforms is strongly preferred.
- Experience taking a product from early-stage development to customer adoption and commercial scale would be a significant advantage.
- Prior experience working with an enterprise SaaS startup or product company is preferred.

Pay: ₹500,000.00 - ₹800,000.00 per year

Work Location: In person

📌 AI Enterprise Product Manager (India)
🏢 Synngular AI
📍 India