Product Manager

Optomi, in partnership with a leading organization in advanced analytics and decision science, is looking for a Product Manager - AI and Decision Science to join their team.

Position Summary: This organization is seeking a Product Manager to launch and scale a new AI-driven decision science product within an emerging products portfolio. This role is responsible for managing the product lifecycle, defining strategy and roadmaps, and collaborating with cross-functional teams to deliver measurable business value. The ideal candidate will have a strong background in product management, technical expertise in analytics and AI technologies, and a user-centric design mindset.

What the right candidate will enjoy:

• Opportunity to work on innovative AI-driven decision science products.
• Collaboration with a diverse and talented team of engineers, scientists, and designers.
• A role that bridges cutting-edge technology and impactful business outcomes.

What type of experience does the right candidate have:

• At least seven (7) years of experience in product management for technology-based data/analytics or software products.
• At least two (2) years of experience leading cross-functional, agile teams in a matrixed environment.
• Proven ability to translate technical requirements and analytical methods into customer-facing features and business outcomes.
• Strong familiarity with statistical/ML concepts, forecasting, optimization, and data visualization.
• Ability to query and analyze data using tools like SQL and Python.
• Strong executive communication skills and a commitment to fostering a diverse, equitable, and inclusive team environment.

What the responsibilities are of the right candidate:

• Own the end-to-end product lifecycle for a new AI and decision science product.
• Define product strategy and multi-release roadmaps; translate user and market insights into prioritized backlogs and clear outcomes.
• Lead cross-functional teams (engineering, data science, data engineering, UX) to scope solutions, run experiments/prototypes, and deliver high-quality releases on time.
• Convert complex analytical and technical concepts (AI agents, knowledge retrieval, forecasting) into intuitive user experiences and actionable business capabilities.
• Integrate user research, usability studies, market analysis, and evolving AI agent capabilities into requirements; champion user-centric design and measurable success criteria (OKRs/KPIs).
• Guide solution testing and evaluations (AI agent evaluations, software tests, and A/B testing) to ensure accuracy, reliability, and business impact.
• Partner with client stakeholders as a strategic advisor; communicate roadmaps, trade-offs, and results through compelling narratives and visuals.
• Work with data stakeholders across the enterprise to understand, translate, and develop new access paths to different domains of data.