Lululemon Athletica
Director - Product Management, Agentic AI
Lululemon Athletica, Seattle, Washington, us, 98127
Director - Product Management, Agentic AI
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we’re in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.
About this team We are seeking an experienced Global Product Management Director with expertise in Salesforce and emerging Agentic AI technologies to lead strategic product initiatives for our Platform-as-a-Service (PaaS) offerings on our Guest Support Team. This executive-level role requires a visionary leader who can bridge technical complexity with business strategy while driving innovation across international markets.
The successful candidate will oversee the entire product lifecycle, from strategy development through launch and optimization, while managing cross-functional teams across multiple geographies. This position reports directly to the VP of Guest Support and requires someone who can translate complex platform requirements into clear product strategies that deliver measurable business value.
Core responsibilities Strategic Leadership & Product Vision
Define and execute global product strategy for PaaS platforms that aligns with company objectives, market dynamics, and emerging technology trends
Develop compelling product vision for Agentic AI capabilities that transforms Guest workflows and creates competitive differentiation
Establish and communicate strategic roadmaps spanning 12‑36 months that balance innovation with technical feasibility
Lead quarterly planning sessions and assign objectives to product teams across regions
Make strategic build‑vs‑buy decisions for platform capabilities and third‑party integrations for Agentic AI
Oversee development and enhancement of Salesforce‑based platform products including Sales Cloud, Service Cloud, Marketing Cloud, and Experience Cloud
Design and manage API product lifecycle, defining standards, versioning strategies, and developer experience guidelines
Ensure platform scalability, reliability, and security meet enterprise‑grade requirements
Partner with engineering leadership on platform architecture decisions for distributed systems, data management, and integration frameworks
Drive platform adoption metrics including API usage patterns, developer engagement, and internal customer satisfaction
Agentic AI Product Development
Champion development of autonomous AI agent systems capable of planning, reasoning, and coordinated action across business processes
Partner with technology to establish evaluation frameworks and production monitoring systems for non‑deterministic AI behaviors
Design knowledge infrastructure that codifies subject matter expertise into repeatable, scalable agent capabilities
Implement responsible AI practices addressing ethics, bias detection, transparency, and governance
Define success metrics for AI‑driven features that balance automation efficiency with human oversight requirements
Cross‑Functional Collaboration & Leadership
Lead and mentor a team of 8‑10 product managers and 2 group product managers
Foster collaboration across engineering, UX Design & Research, eCommerce, data science, CRM, Omni, Retail and Global Fulfillment
Manage complex stakeholder relationships with C‑suite executives, SSC, and third‑party partners
Conduct executive presentations to senior leadership on product performance and strategic direction
Champion guest‑centric culture by incorporating user feedback into product planning and development processes
Monitor competitive landscape, conduct market analysis, and stay current on industry trends in PaaS, CRM, and Agentic AI
Track key performance indicators including revenue growth, cost per contact, lifetime value, retention metrics, and NPS
Partner with finance teams to analyze operational costs, pricing strategies, and ROI projections
Identify and evaluate new market opportunities for Agentic AI expansion
Qualifications Education
Bachelor's degree required in Computer Science, Engineering, Business, Product Management, or related technical field
MBA or Master's degree strongly preferred in Business Administration, Technology Management, or equivalent advanced degree
Dual degree programs (MBA/MS Engineering or MBA/MS Computer Science) are a significant advantage for technical product leadership roles
Experience
10+ years of progressive product management experience with at least 5+ years in leadership roles managing product managers or cross‑functional teams
5+ years demonstrated experience with Salesforce platform including configuration, customization, API integrations, and multi‑cloud implementations
3+ years hands‑on experience with Platform‑as‑a‑Service products, API management, developer tools, and platform ecosystems
2+ years working knowledge of AI/ML technologies, with preference for experience building Agentic AI systems, multi‑agent coordination, or autonomous agent workflows
Proven track record of successfully launching enterprise‑grade products with measurable business impact and revenue generation
Experience operating in global markets with understanding of regional requirements, cultural dynamics, and international go‑to‑market strategies
Salesforce Expertise: Deep knowledge of Salesforce architecture, data models, Lightning Platform, Flow Builder, Process Builder, and AppExchange ecosystem
Platform & API Management: Strong understanding of RESTful APIs, webhooks, microservices architecture, authentication protocols (OAuth, SAML), and API versioning strategies
Agentic AI Fundamentals: Working knowledge of large language models (LLMs), prompt engineering, agent orchestration frameworks, evaluation methodologies, and production AI system monitoring
Data & Analytics: Proficiency with data pipelines, data quality management, SQL, analytics platforms (Einstein Analytics, Tableau, Power BI), and metrics‑driven decision making
Cloud Technologies: Familiarity with IaaS, PaaS, SaaS models and major cloud providers (AWS, Azure, GCP)
Agile & Development Methodologies: Expert‑level understanding of Scrum, Kanban, SAFe frameworks, sprint planning, backlog management, and continuous delivery practices
Leadership & Soft Skills
Strategic Thinking: Ability to balance long‑term vision with short‑term execution while navigating ambiguity and complexity
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About this team We are seeking an experienced Global Product Management Director with expertise in Salesforce and emerging Agentic AI technologies to lead strategic product initiatives for our Platform-as-a-Service (PaaS) offerings on our Guest Support Team. This executive-level role requires a visionary leader who can bridge technical complexity with business strategy while driving innovation across international markets.
The successful candidate will oversee the entire product lifecycle, from strategy development through launch and optimization, while managing cross-functional teams across multiple geographies. This position reports directly to the VP of Guest Support and requires someone who can translate complex platform requirements into clear product strategies that deliver measurable business value.
Core responsibilities Strategic Leadership & Product Vision
Define and execute global product strategy for PaaS platforms that aligns with company objectives, market dynamics, and emerging technology trends
Develop compelling product vision for Agentic AI capabilities that transforms Guest workflows and creates competitive differentiation
Establish and communicate strategic roadmaps spanning 12‑36 months that balance innovation with technical feasibility
Lead quarterly planning sessions and assign objectives to product teams across regions
Make strategic build‑vs‑buy decisions for platform capabilities and third‑party integrations for Agentic AI
Oversee development and enhancement of Salesforce‑based platform products including Sales Cloud, Service Cloud, Marketing Cloud, and Experience Cloud
Design and manage API product lifecycle, defining standards, versioning strategies, and developer experience guidelines
Ensure platform scalability, reliability, and security meet enterprise‑grade requirements
Partner with engineering leadership on platform architecture decisions for distributed systems, data management, and integration frameworks
Drive platform adoption metrics including API usage patterns, developer engagement, and internal customer satisfaction
Agentic AI Product Development
Champion development of autonomous AI agent systems capable of planning, reasoning, and coordinated action across business processes
Partner with technology to establish evaluation frameworks and production monitoring systems for non‑deterministic AI behaviors
Design knowledge infrastructure that codifies subject matter expertise into repeatable, scalable agent capabilities
Implement responsible AI practices addressing ethics, bias detection, transparency, and governance
Define success metrics for AI‑driven features that balance automation efficiency with human oversight requirements
Cross‑Functional Collaboration & Leadership
Lead and mentor a team of 8‑10 product managers and 2 group product managers
Foster collaboration across engineering, UX Design & Research, eCommerce, data science, CRM, Omni, Retail and Global Fulfillment
Manage complex stakeholder relationships with C‑suite executives, SSC, and third‑party partners
Conduct executive presentations to senior leadership on product performance and strategic direction
Champion guest‑centric culture by incorporating user feedback into product planning and development processes
Monitor competitive landscape, conduct market analysis, and stay current on industry trends in PaaS, CRM, and Agentic AI
Track key performance indicators including revenue growth, cost per contact, lifetime value, retention metrics, and NPS
Partner with finance teams to analyze operational costs, pricing strategies, and ROI projections
Identify and evaluate new market opportunities for Agentic AI expansion
Qualifications Education
Bachelor's degree required in Computer Science, Engineering, Business, Product Management, or related technical field
MBA or Master's degree strongly preferred in Business Administration, Technology Management, or equivalent advanced degree
Dual degree programs (MBA/MS Engineering or MBA/MS Computer Science) are a significant advantage for technical product leadership roles
Experience
10+ years of progressive product management experience with at least 5+ years in leadership roles managing product managers or cross‑functional teams
5+ years demonstrated experience with Salesforce platform including configuration, customization, API integrations, and multi‑cloud implementations
3+ years hands‑on experience with Platform‑as‑a‑Service products, API management, developer tools, and platform ecosystems
2+ years working knowledge of AI/ML technologies, with preference for experience building Agentic AI systems, multi‑agent coordination, or autonomous agent workflows
Proven track record of successfully launching enterprise‑grade products with measurable business impact and revenue generation
Experience operating in global markets with understanding of regional requirements, cultural dynamics, and international go‑to‑market strategies
Salesforce Expertise: Deep knowledge of Salesforce architecture, data models, Lightning Platform, Flow Builder, Process Builder, and AppExchange ecosystem
Platform & API Management: Strong understanding of RESTful APIs, webhooks, microservices architecture, authentication protocols (OAuth, SAML), and API versioning strategies
Agentic AI Fundamentals: Working knowledge of large language models (LLMs), prompt engineering, agent orchestration frameworks, evaluation methodologies, and production AI system monitoring
Data & Analytics: Proficiency with data pipelines, data quality management, SQL, analytics platforms (Einstein Analytics, Tableau, Power BI), and metrics‑driven decision making
Cloud Technologies: Familiarity with IaaS, PaaS, SaaS models and major cloud providers (AWS, Azure, GCP)
Agile & Development Methodologies: Expert‑level understanding of Scrum, Kanban, SAFe frameworks, sprint planning, backlog management, and continuous delivery practices
Leadership & Soft Skills
Strategic Thinking: Ability to balance long‑term vision with short‑term execution while navigating ambiguity and complexity
#J-18808-Ljbffr