AI Product Manager

Role Overview:

As an AI Product Manager, you will sit at the intersection of cutting-edge machine learning research and practical business application. Your day-to-day involves translating complex technical capabilities into intuitive product features that solve real-world problems. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to bridge the gap between model performance and user value. By driving the end-to-end lifecycle of AI-powered products, you will directly influence how our customers interact with intelligent systems, ultimately shaping the long-term product strategy and delivering measurable business growth in a rapidly evolving technological landscape.

Key Responsibilities:

- Define and execute a comprehensive product roadmap that prioritizes high-impact AI initiatives to ensure alignment with broader company objectives.

- Translate ambiguous business requirements into clear, actionable technical specifications for engineering teams to accelerate the development of Generative AI and LLM-based solutions.

- Conduct rigorous market analysis and user research to identify opportunities where Artificial Intelligence can provide a competitive edge and improve user engagement.

- Manage the full product development lifecycle, from conceptualization and prototyping to deployment and post-launch optimization, ensuring high-quality delivery.

- Partner with data science teams to evaluate model performance metrics and iterate on product features based on real-world feedback and data-driven insights.

- Communicate product vision and progress to senior leadership and external stakeholders to foster buy-in and ensure transparency across the organization.

Required Skillset:

- Demonstrated ability to bridge the gap between technical AI constraints and user-centric design, ensuring that complex models translate into seamless product experiences.

- Proven track record of managing product strategy in fast-paced environments, with a deep understanding of the nuances involved in deploying Large Language Models at scale.

- Exceptional interpersonal skills to facilitate effective communication between highly technical engineering teams and non-technical business stakeholders.

- Strong analytical mindset with the ability to interpret data, define success metrics, and make informed decisions that drive product performance.

- Proven capability to thrive in a distributed work environment, maintaining high levels of productivity and collaboration across multiple locations.

- A solid academic foundation, preferably from a premier institute, combined with a continuous learning mindset to stay ahead of advancements in the Generative AI space.