Associate Product Manager

We are seeking an Associate Product Manager to lead strategic initiatives and deliver data-driven, scalable products that enhance user experience and business outcomes. You will collaborate with cross-functional teams of engineering, data science, design, and business to shape products powered by AI/ML. This role requires a balance of technical understanding, strategic thinking, and strong execution to transform ideas into impactful products.

Responsibilities:

• Define product vision, roadmap, and success metrics for your product area.
• Work closely with data science and engineering teams to conceptualize and launch AI/ML-based features.
• Translate business goals and user insights into detailed product requirements and user stories.
• Analyze performance data and define evaluation metrics to measure product and model effectiveness.
• Drive end-to-end product execution from ideation, prioritization, and delivery to performance tracking and iteration.
• Partner with cross-functional teams to ensure timely, high-quality releases.
• Conduct market and competitive analysis to identify opportunities for innovation and differentiation.
• Collaborate with Marketing and Customer Success to ensure effective product positioning and adoption.

Requirements:

• 2-4 years of experience in product management within a technology-driven organization.
• Proven experience delivering successful B2B or B2C products.
• Strong analytical and problem-solving abilities with a data-driven mindset.
• Excellent communication, stakeholder management, and project execution skills.
• Proficiency with agile methodologies and tools (Jira, Confluence, Figma, etc. ).
• Bachelor's degree in engineering, computer science, or business; an MBA is a plus.

Preferred Qualifications:

• Exposure to AI/ML, deep learning, or data-centric product development.
• Understanding of model evaluation metrics (precision, recall, F1 score, accuracy, etc. ) and data quality frameworks.
• Experience in SaaS, EdTech, FinTech, or consumer product domains.
• Ability to work effectively with data science and engineering teams to bring AI features to market.
• Familiarity with analytics tools like Mixpanel, Amplitude, Looker, or GA4
• Experience managing multi-region or global product rollouts.