Engineering Jobs in Tujunga California

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.

Why you'll love this opportunity

• 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.

What you bring

• 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.

What you'll do

• 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.