Product Manager – AI & Decision Science (Burbank, CA - Hybrid)
Optomi, in partnership with a leading entertainment organization, is seeking a Product Manager to launch and scale a new AI-driven decision science product within an emerging portfolio. This role offers full ownership of the product lifecycle — from defining strategy and building multi-release roadmaps to translating complex AI capabilities into measurable business outcomes. The ideal candidate brings strong product fundamentals, technical fluency in analytics and AI, and a passion for delivering user-centered solutions in a highly collaborative environment.
What the right candidate will enjoy:
- The opportunity to build and scale an innovative AI-driven product from early launch through growth.
- Working within a high-impact advanced analytics and internal consulting organization.
- Close collaboration with decision scientists, data engineers, software engineers and designers.
- A highly visible role that directly influences strategic business decisions through data-driven products.
- An environment that values experimentation, measurable outcomes, and continuous improvement.
Experience of the right candidate:
- Minimum seven (7) years of product management experience within technology-driven data, analytics, or software products.
- At least two (2) years leading cross-functional, agile teams in a matrixed organization.
- Proven experience managing the end-to-end lifecycle of AI-driven, analytics, or decision science products.
- Strong ability to translate complex statistical models and technical concepts into actionable business outcomes and user-facing features.
- Familiarity with statistical/ML concepts, forecasting, optimization, and data visualization.
- Hands-on experience querying and analyzing data using tools such as SQL and Python.
- Strong executive communication skills with the ability to simplify complexity and influence stakeholders across levels.
- Demonstrated commitment to fostering an inclusive, collaborative team culture.
Responsibilities 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, translating user insights and market analysis into prioritized backlogs and clear success metrics.
- Lead cross-functional teams (engineering, data science, data engineering, UX) to scope solutions, run experiments and prototypes, and deliver high-quality releases.
- Translate complex AI and analytical capabilities — including AI agents, knowledge retrieval, forecasting, and optimization — into intuitive user experiences and impactful business tools.
- Integrate user research, usability testing, and evolving AI capabilities into product requirements while championing measurable success through defined KPIs and OKRs.
- Guide testing and evaluation efforts, including AI evaluations, software testing, and A/B experimentation, to ensure accuracy, reliability, and business value.
- Act as a strategic advisor to stakeholders, clearly communicating roadmaps, trade-offs, and results through compelling, data-driven narratives.
- Partner with enterprise data stakeholders to unlock new data domains and enable scalable, technology-enabled analytics solutions.
