Product Manager (AI-First)

Location: Noida, India

Department: PMO

Experience: 3 - 8 Years

About Enveu

Key Responsibilities

• Identify customer problems, business needs, and market opportunities.
• Gather customer feedback and translate insights into clear product requirements.
• Define and execute the product vision, strategy, and roadmap.
• Leverage AI throughout the product lifecycle for ideation, market research, PRDs, user stories, wireframes, prototypes, clickable mockups, documentation, and technical specifications.
• Collaborate closely with Engineering, Design, QA, and other cross-functional teams to deliver high-quality products.
• Prioritize product features and effectively manage the product backlog.
• Track product development progress and ensure timely delivery.
• Define product success metrics and monitor adoption, engagement, and business impact.
• Conduct customer demos, collect feedback, and continuously improve the product based on user insights.

Required Skills & Qualifications

• 3–8 years of experience in Product Management.
• Proven experience building and managing SaaS products.
• Strong communication, problem-solving, and analytical skills.
• Good understanding of APIs, software development, and modern product development practices.
• Comfortable working in a fast-paced startup environment with high ownership.

AI Skills (Must Have)

• Actively use AI tools in day-to-day product management to improve productivity and quality.
• Hands-on experience with tools such as ChatGPT, Claude, Gemini, Cursor, Lovable, Bolt, Figma AI, v0, Replit AI, Windsurf, and Notion AI.
• Passion for continuously learning and adopting emerging AI tools and workflows.

Nice to Have

• Experience in Media, OTT, or Enterprise SaaS products.
• Basic understanding of workflow automation platforms and business processes.
• Experience with no-code or low-code development tools.
• Experience building or managing AI-powered products and features.

Success Looks Like

• Transform ideas into working prototypes within days instead of weeks.
• Effectively use AI to accelerate every stage of the product lifecycle.
• Deliver well-defined product requirements that improve engineering efficiency.
• Build customer-centric products that drive adoption, engagement, and business value.