About The Role :

We are seeking a technically-minded Product Manager to lead the strategy, development, and launch of our next-generation AI and Machine Learning features.

This role sits at the intersection of business strategy, data science, and engineering, translating complex technical capabilities into tangible customer value.

Key Responsibilities :

- Strategy & Vision : Define the long-term vision, strategy, and roadmap for AI/ML-driven products and features, aligning them with overall company goals.

- Stakeholder Management : Serve as the primary liaison between Data Science, Engineering, UX/Design, and Marketing teams, ensuring clear communication and alignment on goals.

- Feature Definition : Author clear, concise documentation, including PRDs (Product Requirement Documents), user stories, and acceptance criteria with a focus on model performance, edge cases, and user experience.

- Model Evaluation : Define and track key business and performance metrics (i.e., accuracy, precision, recall, latency, impact on conversion) to measure the success of launched models.

- Market Analysis : Conduct market research, competitive analysis, and gather deep customer insights to identify new opportunities for applying AI/ML.

Technical Skills (Must-Have) :

- AI/ML Concepts : Strong working knowledge of Machine Learning concepts, modeling techniques, and the end-to-end ML lifecycle (data collection, training, deployment, monitoring).

- Data & Analytics : Proficiency in SQL for querying and analyzing large datasets. Experience with data visualization tools (Tableau, Power BI, Looker).

- Agile Methodology : Expertise in Agile/Scrum product management processes.

- Technical Communication : Ability to communicate technical trade-offs, model limitations, and statistical results effectively to a non-technical audience.-

- Tools : Familiarity with product management tools (Jira, Confluence) and data platforms (AWS Sagemaker, GCP AI Platform, Databricks).

Qualifications :

- Bachelor's degree in Computer Science, Engineering, or a related quantitative field; MBA or Master's in a technical discipline is a plus.

- 5+ years of Product Management experience, with at least 2 years focusing on products heavily driven by Machine Learning or Data Science.

- Experience launching a model into production and managing it post-launch