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Teladoc Health · 1 day ago

Lead Product Operations Manager – AI Enablement

United States

Full-time

Remote

Senior Level, Lead/Staff

$160K/yr - $180K/yr

8+ years exp

Teladoc Health is transforming how better health happens, and they are seeking a Lead Product Operations Manager to drive high-impact initiatives within the Product organization. This senior-level role focuses on AI enablement, operational efficiency, and the development of scalable training frameworks to enhance productivity and performance across product teams.

Health CareMental HealthmHealthPrimary and Urgent CareTelehealthWellness

No H1B

Responsibilities

Independently identify, evaluate, and lead the end-to-end implementation of AI tools and capabilities across the full product development lifecycle (e.g., road mapping, requirements definition, design, content operations, documentation, research synthesis), with measurable impact on efficiency and quality

Serve as the primary AI thought leader and evangelist for the Product Org, accountable for driving adoption and change management to integrate AI into workflows at scale, reducing manual effort and demonstrably improving business outcomes

Continuously monitor emerging AI trends, independently design and execute pilot programs, and own the measurement of results, including business case development for broader adoption

Establish and maintain a strategic partnership with Data & AI leadership, ensuring seamless collaboration and alignment between Product and technical AI experts, and acting as the business owner accountable for outcomes

Develop and own the tooling strategy for the Product org, accountable for the measurable business outcomes tied to efficiency, adoption, and ROI

Independently oversee and drive selection, implementation, and long-term governance of mission-critical tools spanning product design, content, program management, and collaboration

Lead change management and adoption programs to ensure seamless integration, broad usage, and business value realization across multiple product teams and executive stakeholders

Continuously assess enterprise tool usage, consolidate redundant platforms, and deliver quantifiable ROI improvements while enhancing user experience

Design, implement, and scale a comprehensive training framework covering onboarding, capability building, and continuous development across all product disciplines. Leverage AI to automate delivery, personalize learning at scale, and demonstrate measurable business impact

Drive strategic alignment with functional leaders to ensure training content directly advances organizational goals, tool adoption, and workflow optimization

Own end-to-end measurement of training adoption, and effectiveness using a data-informed approach, to continuously refine the program to meet team needs

Independently lead process design and optimization efforts across the product development lifecycle, ensuring workflows are efficient, repeatable, and integrate AI-driven tools and automation where appropriate

Understand core concepts such as machine learning (ML), natural language processing (NLP), and neural networks to effectively communicate with Data Science and technical teams

Adept at prompt engineering and building with AI ethically and responsibly

Own advanced qualitative and quantitative data to monitor operational performance, uncover insights, and inform recommendations

Design and implement modular frameworks and templates optimized for AI integration, driving standardization, accelerated planning, execution, and enhancing collaboration across the product org

Apply conceptual and systems-level thinking to resolve complex organizational challenges, delivering forward-looking solutions with enterprise-wide, long-term impact

Drive cross-functional and executive alignment through compelling communication and influence at the senior level

Independently lead and facilitate executive workshops and decision-making forums, surfacing risks, shaping strategic priorities, and accelerating alignment

Serve as a strategic advisor and thought partner to senior product leaders, connecting day-to-day execution to long-term strategy, with accountability for integrating AI and delivering measurable business narratives

Lead organization-wide change initiatives, with demonstrated success driving adoption, overcoming resistance, and ensuring sustained outcomes

Qualification

AI enablementProduct operationsData analysisStakeholder managementTooling strategyTraining framework designProcess optimizationMachine learningChange managementExecutive alignmentInfluenceAutonomyCommunication skillsCritical thinkingTeam collaborationProblem-solvingAdaptabilityLeadershipPresentation skills

Required

8+ years of experience in AI operations, product operations, product management, or a related field

Deep understanding of the product development lifecycle specifically in a tech focused company

Proven track record of leading the implementation of AI enablement solutions at scale, preferably in product, engineering, design, or content operations with quantifiable impact on efficiency and quality

History of designing and scaling processes with measurable improvements in efficiency, accuracy, or business performance, supported by advanced data analysis and KPI reporting with tool/platform ownership, including governance, adoption, and integration

Proven ability to operate with full autonomy, setting direction and delivering results on high-impact, cross-functional initiatives with minimal oversight

Proven success managing complex stakeholder networks and building alignment across multiple functions and executive levels

Familiarity with tools such as Jira, Confluence, Productboard (or other roadmapping solutions), and AI copilots