Product Manager

Product Manager – AI & Decision Science (Hybrid | 4 Days Onsite)

Optomi, in partnership with a leading enterprise organization specializing in advanced analytics and decision science, is seeking a Product Manager to lead the development and launch of a new AI-driven product within an emerging analytics portfolio. This role is ideal for a technically fluent product leader who thrives in a matrixed Agile environment and excels at translating complex AI and statistical models into scalable, business-facing solutions.

You’ll work closely with decision scientists, data engineers, software engineers, and UX partners to deliver measurable business impact while managing product strategy, backlog prioritization, experimentation, and multi-release roadmaps.

• Impact Enterprise Decision-Making:
  Work on AI-powered products that directly influence forecasting, optimization, and strategic business outcomes.
• Collaborative Environment:
  Partner across cross-functional teams including Decision Science, Data Engineering, Software Engineering, UX, and executive stakeholders.
• Professional Growth:
  Own a 0→1 AI product within a scaling Agile/SAFe environment while shaping long-term product strategy.
• Technically Engaging:
  Dive deep into machine learning models, AI agents, forecasting methodologies, and data-driven experimentation alongside expert technical teams.

• 7+ years of experience as a Product Manager leading technology-based data, analytics, or software products in enterprise or multi-matrix environments.
• AI & Analytics Expertise:
  Strong familiarity with statistical/ML concepts, forecasting, optimization, and data visualization.
• Technical Fluency:
  Ability to query and analyze data (SQL, Python preferred) and participate in detailed technical discussions with engineers and data scientists.
• Agile Mindset:
  Proven experience leading cross-functional agile teams and managing roadmaps in a matrixed environment.
• Business Translation
  
  Skills:
  
  Demonstrated ability to convert complex analytical methodologies into customer-facing features and measurable business outcomes.
• Stakeholder Mastery:
  Excellent communication skills with the ability to simplify complex AI concepts into clear, actionable recommendations for executive audiences.
• User-Centric Approach:
  Experience incorporating user research, usability testing, and market insights into product strategy and backlog prioritization.

• Own the Backlog:
  Prioritize and manage features for an AI-driven decision science product, balancing experimentation, innovation, and business value delivery.
• Bridge Business & Tech:
  Act as the primary link between enterprise stakeholders and technical teams to translate analytical models into scalable product capabilities.
• Drive the
  
  Roadmap:
  
  Define product vision and multi-release roadmaps aligned to measurable KPIs and OKRs.
• Collaborate on Execution:
  Partner with engineering, data science, and UX teams to scope solutions, guide experimentation, and deliver high-quality releases on time.
• Lead Agile Ceremonies:
  Participate in and support sprint planning, backlog refinement, PI Planning, and roadmap sessions within a scaling Agile environment.
• Ensure Product Integrity:
  Guide AI model evaluations, A/B testing, and solution validation to ensure accuracy, reliability, and measurable business impact.