Role Overview:

As an AI Product Manager, you will sit at the intersection of cutting-edge machine learning research and scalable product engineering. You will be responsible for defining the product vision and roadmap for AI-driven features that solve complex business problems for our global enterprise clients. Your day-to-day involves translating ambiguous business requirements into technical specifications, collaborating closely with data scientists and software engineers to iterate on models, and aligning cross-functional stakeholders on the strategic value of AI initiatives. By bridging the gap between technical feasibility and market viability, you will directly influence product adoption, drive operational efficiency, and deliver measurable business outcomes that set our platform apart in a competitive landscape.

Key Responsibilities:

- Define the end-to-end product strategy for AI and Machine Learning initiatives to ensure alignment with long-term business objectives and customer needs.

- Translate complex technical concepts into actionable product roadmaps for engineering and data science teams to accelerate the deployment of high-impact AI features.

- Lead cross-functional collaboration with design, engineering, and business stakeholders to ensure seamless integration of AI models into the core product ecosystem.

- Monitor and analyze model performance metrics and user feedback loops to continuously refine algorithms and improve the accuracy and utility of AI-driven outputs.

- Manage the product lifecycle from ideation through to post-launch optimization, ensuring that AI solutions deliver tangible ROI and competitive advantages for our clients.

Required Skillset:

- Demonstrated ability to lead complex product lifecycles in an AI-first environment, with a deep understanding of machine learning workflows, data pipelines, and model evaluation metrics.

- Proven track record of communicating technical product strategy to executive leadership and non-technical stakeholders to secure buy-in for high-stakes initiatives.

- Strong analytical mindset with the ability to interpret data-driven insights to make informed decisions that improve product performance and user experience.

- Exceptional interpersonal skills to navigate cross-functional team dynamics and foster a culture of innovation and rapid experimentation.

- Educational background in Computer Science, Engineering, or a related quantitative field, often complemented by an MBA from a premier institute.

- Ability to thrive in a high-growth, hybrid work environment across Bangalore and Hyderabad, maintaining high levels of autonomy and collaborative efficiency.