Senior Product Manager, Generative AI

About the Role

Key Responsibilities

• Lead the product lifecycle from ideation to delivery, ensuring alignment with business goals and technical feasibility.
• Work closely with engineering and data science teams to define detailed product requirements and technical specifications for Generative AI solutions.
• Translate customer and market needs into clear, actionable roadmaps and product features, balancing short-term priorities with long-term strategic vision.
• Drive product development in collaboration with cross-functional teams, ensuring timely delivery of high-quality AI features and applications.
• Conduct deep technical analysis of the AI/ML technologies that underpin the platform, influencing design decisions and product architecture.
• Own the product's go-to-market strategy, working with marketing and sales to ensure successful product launches and adoption.
• Collaborate with customer-facing teams to gather feedback and refine the product roadmap based on user needs, technical challenges, and market trends.
• Manage stakeholder communications, including regular updates on progress, risks, and opportunities to senior leadership.
• Monitor key product metrics and ensure alignment with performance goals, identifying opportunities for continuous improvement.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field; advanced degree preferred.
• 5+ years of product management experience in enterprise software, AI, or a related field, with a focus on technically complex products.
• Strong understanding of AI/ML technologies, including experience with Generative AI, data pipelines, and model operationalization.
• Proven experience working closely with engineering teams to deliver technically sound and scalable AI solutions.
• Demonstrable ability to break down complex technical problems into user-friendly features and product experiences.
• Strong analytical and problem-solving skills, with the ability to leverage data to drive product decisions.
• Excellent communication skills, with the ability to translate technical concepts for non-technical audiences and influence senior stakeholders.
• Experience managing full product lifecycles, from research and ideation to launch and iteration.
• Ability to prioritize competing initiatives and manage timelines effectively in a fast-paced environment.

Nice to Have

• Experience with enterprise AI applications and SaaS platforms.
• Familiarity with AI/ML model deployment and operationalization.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.

Benefits & Perks

• Excellent benefits package.
• Competitive compensation package.
• Generous equity plan.