
Senior AI Product Manager
Posted Sep 8

Posted Sep 8
This is a fully remote position, open to applicants in United Kingdom.
• Take ownership of the strategy, discovery, definition, and implementation of customer-oriented AI-powered product features.
• Integrate model behavior, data requirements, evaluation techniques, unit economics, quality, security, and gross-margin implications into product decisions.
• Create and uphold the product vision and roadmaps for designated AI functionalities.
• Prioritize investments based on customer needs, product analytics, market insights, and business outcomes.
• Assess software codebases and develop functional prototypes for Engineering teams.
• Establish and disseminate repeatable AI-driven workflows across the Product team.
• Conduct customer research, competitive analysis, structured discovery, and execution throughout product cycles.
• Oversee cross-functional dependencies, risks, and milestones.
• Mentor product team members in discovery, technical evaluation, and AI workflows.
• Assist go-to-market teams with demonstrations, documentation, and technical expertise.
• Evaluate Panopto’s AI capabilities to identify gaps and opportunities.
• Provide executable prototypes and ensure AI capabilities reach engineering readiness.
• Define evaluation suites, quality benchmarks, guardrails, failure modes, and cost models.
• Prepare enablement materials for AI releases in the go-to-market strategy.
• Deliver live AI capabilities that contribute to customer retention and growth.
• Report directly to the Senior Director of Product Management.
• A Bachelor's degree is required.
• 8-10+ years of experience in product management within SaaS or software environments.
• A proven history of successfully launching products from concept to market.
• Experience in developing product vision and roadmaps.
• Proven ability to lead product discovery for complex, multi-team initiatives.
• Competence in reading and assessing software codebases for technical feasibility, dependencies, scope, and sequencing.
• Hands-on experience in building functional prototypes.
• Familiarity with standard developer workflows, including Git.
• Practical experience managing AI capabilities, encompassing data pipelines, model evaluations, and AI security measures.
• Experience with customer research, competitive analysis, product analytics, and structured discovery frameworks such as JTBD, RICE, and Opportunity Solution Trees.
• Ability to align cross-functional partners and effectively communicate complex technical concepts to non-technical stakeholders.
• Capability to support customer-facing teams with demonstrations, documentation, training, and domain expertise.
• Willingness to travel minimally as required by business needs.
• Excellent communication skills and an ability to grasp technical subjects, emerging technologies, and their relevance in the marketplace.
• Eligibility for bonuses.
• Health insurance coverage.
• Flexible spending accounts.
• Retirement savings plans.
• Life and disability insurance programs.
• Paid and unpaid time off from work.
• Opportunities for lifelong learning and growth.
• Minimal business travel requirements.
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