Senior Product Manager (AI Products)

At CARSOME, we are at the forefront of the data revolution. We build intelligent, scalable products that empower our stakeholders to make smarter decisions and unlock new opportunities. Our teams of world-class engineers, data scientists, and researchers work together to tackle complex challenges, transforming raw data into actionable insights. As we continue to expand our suite of AI-driven products, we are looking for a visionary product leader to guide our strategy and execution. This is not just another product manager role. We are seeking a strategic and technically-savvy

Senior AI Product Manager

to own the vision, roadmap, and success of our entire portfolio of AI products. While this includes established products like our internal intelligence platforms, your primary focus will be on the overarching strategy that connects all our data assets and leveraging latest AI capabilities. You will be the central point of contact for all things related to our AI products, working at the intersection of business, technology, and user experience. You will collaborate closely with Data Science, Engineering, Commercial and Research teams to define what's next and drive the development of innovative solutions that deliver immense value to our stakeholders and the market. Your-Day-to-Day

Product Strategy & Vision :

Define and articulate a clear, compelling product vision and strategy for the entire AI product portfolio. Develop and maintain a prioritized product roadmap that aligns with company goals, market opportunities, and technical feasibility. Conduct continuous market research, competitive analysis, and customer discovery to identify new opportunities and ensure product-market fit.

Execution & Delivery :

Translate product strategy into detailed requirements, user stories, and product specifications (PRDs). Work hand-in-hand with Agile development teams, including data scientists and ML engineers, to ensure timely and high-quality delivery. Define, monitor, and analyze key product metrics to measure success, and use this data to inform your roadmap and backlog prioritization. Manage the entire product lifecycle from concept and ideation through to launch, iteration, and end-of-life.

Collaboration & Stakeholder Management :

Act as the primary liaison between technical teams (Data Science, Engineering, Research) and business stakeholders (Sales, Marketing, Leadership). Communicate complex technical concepts and product decisions clearly and persuasively to a wide range of audiences. Champion a culture of data-driven decision-making and collaboration across the organization.

Data & AI Expertise :

Partner with the Data Science and Business Intelligence teams to define data requirements, validation processes, and success criteria for machine learning models. Develop a deep understanding of our data architecture, model lifecycle, and AI capabilities to guide product decisions. Ensure robust data quality, governance, and ethics are embedded into our product development processes.

Your-Know-How

5+ years of product management experience, with at least 3 years focused specifically on data, AI / ML, or platform products. Proven track record of managing a portfolio of products and delivering successful outcomes in a fast-paced, tech-driven environment. Strong technical acumen and a deep understanding of data science concepts, machine learning model lifecycles, APIs, and data architecture. You should be comfortable discussing these topics in depth with engineers and data scientists. Demonstrated experience in the full product development lifecycle, from discovery and validation to launch and go-to-market. Excellent analytical and problem-solving skills, with a talent for making data-informed decisions. Exceptional communication and interpersonal skills, with the ability to influence and align cross-functional teams and senior leadership. Bachelor's degree in Computer Science, Engineering, Business, or a related field. Experience working in a B2B SaaS environment is an advantage. Proficiency with SQL for data analysis and familiarity with data visualization tools (e.g., Tableau, Looker) is an advantage.

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