Director of Product Management, Design Systems

📍 Job Overview

Job Title: Director of Product Management, Design Systems

Company: Salesforce

Location: San Francisco, California, United States

Job Type: FULL_TIME

Category: Product Management / Design Systems / AI Platform

Date Posted: June 22, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the strategic vision and execution for an AI-ready design system, transforming it into an intelligent platform for AI-assisted UI generation and human-agent co-creation.

• Own the product roadmap for a comprehensive suite of creator tooling, including AI-powered features to enhance designer and developer productivity.

• Drive alignment across central UX, AI platform teams, engineering, and design leadership to foster innovation and enable ecosystem partners.

• Define critical guardrails, governance, and trust criteria for AI-driven UI composition, ensuring adherence to Salesforce's accessibility, security, and brand standards.

• Serve as a senior strategic advisor, translating complex technical and design concepts into compelling narratives for executive stakeholders.

📝 Enhancement Note: This role is a critical leadership position at the forefront of Salesforce's "agentic enterprise" strategy, focusing on the intersection of Design Systems, AI, and Product Management. The emphasis is on building foundational AI capabilities within the design system and associated tooling, rather than direct application development.

📈 Primary Responsibilities

• Define and own the multi-year product strategy and roadmap for integrating AI capabilities into the Lightning Design System (SLDS), focusing on generative and conversational enterprise UIs.

• Establish the architectural direction for component metadata schemas, semantic ontologies, and structural specifications that enable Large Language Models (LLMs) and agents to compose and render Salesforce UI at runtime.

• Develop and launch zero-to-one platform capabilities that embed AI infrastructure within the design system, ensuring it remains at the cutting edge of AI innovation.

• Lead complex technical decision-making for AI initiatives, including code generation, agentic workflows, and evaluation strategies, ensuring robust and scalable solutions.

• Define and implement guardrails, governance models, and trust criteria for AI-driven UI composition, ensuring compliance with Salesforce's accessibility, security, and brand standards.

• Own the product roadmap for the full suite of designer and developer-facing creator tooling, such as UI code validators, linters, and Figma plugins.

• Define product requirements for AI-powered creator productivity features that significantly accelerate designer and developer velocity on the Salesforce platform.

• Act as a senior strategic advisor and cross-functional liaison for design systems, driving consensus and alignment between the central UX organization and AI platform engineering teams.

• Build and maintain high-trust relationships with engineering leads, design leadership, and executive stakeholders across the organization.

• Synthesize complex technical, design, and AI concepts into clear, compelling narratives for executive audiences and external stakeholders.

• Enable customers and ecosystem partners to build AI-ready applications on the Salesforce platform by providing robust design system capabilities and tooling.

📝 Enhancement Note: The responsibilities highlight a blend of strategic product vision, deep technical understanding of AI and design systems, and strong leadership in a complex, matrixed environment. The role requires defining foundational AI infrastructure for UI generation and enhancing developer/designer productivity through tooling.

🎓 Skills & Qualifications

Education:

• While no specific degree is mandated, a strong technical background is essential. Candidates with degrees in Computer Science, Engineering, Design, or related fields will be well-positioned. Experience:

• 10+ years of progressive product management experience, with a significant focus on design systems, developer platforms, creator tooling, or enterprise frontend infrastructure.

• Demonstrated success in defining and executing multi-year strategic roadmaps within complex, matrixed organizations.

• Proven track record of shipping impactful developer tools, infrastructure products, or AI-powered technical systems.

• Experience managing product lifecycles from ideation through launch and iteration. Required Skills:

• Product Strategy & Roadmapping: Proven ability to define and execute long-term strategic roadmaps for complex technical products, aligning diverse stakeholders without direct authority.

• Design Systems Expertise: Deep understanding of design system principles, including CSS architecture, design tokens, component governance, accessibility standards, and their implementation in enterprise environments. Hands-on familiarity with SLDS, Lightning Web Components, or other enterprise-scale design systems (e.g., Carbon, Fluent, Material, Spectrum) is highly valued.

• AI/ML & LLM Knowledge: Strong technical depth and working knowledge of AI/ML concepts, LLM capabilities and constraints, agentic workflows, and their application to UI generation and enterprise UX.

• Developer Tooling: Experience in defining requirements and shipping developer-facing tools, infrastructure products, or AI-powered technical systems that enhance productivity.

• Enterprise UX & Frontend Infrastructure: Understanding of enterprise UX challenges and the intricacies of building scalable frontend infrastructure.

• Cross-functional Leadership: Ability to drive alignment and build high-trust relationships with engineering leads, design leadership, and executive stakeholders.

• Communication & Storytelling: Exceptional communication, presentation, and storytelling skills, with the ability to articulate complex technical and design concepts to both technical and executive audiences.

• Governance & Compliance: Experience defining guardrails, governance models, and trust criteria for technical products, particularly those involving AI, accessibility, and brand standards.

Preferred Skills:

• Metadata Schemas & Ontologies: Experience designing metadata schemas, ontologies, or semantic data models tailored for AI/ML consumption.

• Creator Tooling Background: Background in creator tooling, including design-to-code tools or developer IDE integrations.

• Multi-Product Environments: Experience building and managing products within a multi-product ecosystem.

• Hands-on Design System Experience: Direct experience contributing to or managing enterprise-scale design systems like SLDS or LWC.

📝 Enhancement Note: The qualifications emphasize a unique combination of deep product management acumen, hands-on technical understanding of AI and design systems, and strong leadership capabilities necessary to drive strategic initiatives within a large enterprise.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategic Roadmaps: Examples of multi-year product roadmaps developed for complex technical products, demonstrating strategic foresight and stakeholder alignment.

• AI/ML Product Initiatives: Case studies or documentation showcasing the definition and execution of AI/ML-driven product features or platforms, highlighting technical depth and user impact.

• Design System Contributions: Evidence of contributions to or leadership of enterprise-level design systems, illustrating understanding of component governance, metadata, and developer tooling.

• Developer Tooling Products: Examples of developer tools, infrastructure products, or creator tooling platforms launched, showcasing impact on developer velocity and productivity.

• Cross-functional Alignment: Documentation or examples demonstrating successful alignment of diverse stakeholders (engineering, design, executive) on complex technical initiatives.

Process Documentation:

• Product Strategy Frameworks: Demonstrations of how strategic product frameworks were applied to define vision, mission, and roadmap for technical products.

• AI/ML Workflow Design: Examples of how AI/ML concepts were translated into actionable product requirements and workflows, including considerations for data, model integration, and user interaction.

• Design System Implementation Plans: Documentation outlining plans for implementing new design system components, metadata standards, or tooling, including governance and adoption strategies.

• Agile Development Methodologies: Familiarity with and application of agile methodologies for product development, including sprint planning, backlog management, and iterative delivery.

📝 Enhancement Note: Candidates are expected to showcase their ability to define and execute complex technical product strategies, particularly in areas related to AI and design systems. The portfolio should highlight their leadership in driving cross-functional initiatives and their understanding of developer productivity and enterprise-scale systems.

💵 Compensation & Benefits

Salary Range:

• General US Range: $197,300 - $313,700 annually (base salary)

• San Francisco/NYC Metro Area Range: $237,700 - $334,700 annually (base salary)

Note on Compensation: This range represents base salary only. Actual compensation may include additional components such as company bonus, incentive compensation (for sales roles), equity, and benefits, as applicable. The specific salary offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience.

Benefits:

• Comprehensive Health: Medical, Dental, Vision Insurance, and Mental Health Support.

• Work-Life Balance: Generous Time Off Programs and Paid Parental Leave.

• Financial Security: Life Insurance, Disability Insurance, 401(k) plan, and an Employee Stock Purchasing Program.

• Additional Resources: Access to employee assistance programs and other wellness initiatives.

Working Hours:

• The role is based on a standard 40-hour work week.

• Hybrid Work Arrangement: This position is designated as Hybrid, requiring a balance of on-site and remote work. Specific office days will be determined by team needs and collaboration requirements.

📝 Enhancement Note: The salary ranges provided are specific to the United States and differentiate between general US locations and high-cost metropolitan areas like San Francisco and New York City. The inclusion of benefits and working hours provides a holistic view of the total compensation and work structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing, CRM Software, Artificial Intelligence (AI), Enterprise Software. Salesforce is a leader in the AI CRM market, driving digital transformation for businesses globally.

Company Size: Salesforce is a large enterprise company, employing tens of thousands of individuals worldwide. This scale offers significant opportunities for impact, career growth, and access to vast resources.

Founded: 1999. Salesforce has a long-standing history of innovation, customer success, and a commitment to its core values.

Team Structure:

• Product Management: The role sits within the Product organization, likely reporting to a VP or Senior Director of Product.

• Design Systems Team: This role will lead the product vision for the Lightning Design System (SLDS) and its associated tooling, working closely with dedicated design and engineering teams responsible for SLDS.

• AI Platform Integration: Close collaboration with AI platform teams, LLM specialists, and engineers focused on generative AI and agentic workflows is critical.

• Cross-functional Collaboration: Significant interaction with core UX/Design, Engineering (frontend, backend, AI/ML), Developer Relations, and Executive Leadership.

Methodology:

• AI-Driven Product Development: Emphasis on leveraging AI and LLMs to enhance product capabilities, particularly in UI generation and creator productivity.

• Design Thinking & User-Centricity: A strong focus on understanding and addressing the needs of designers and developers using the design system and tooling.

• Agile & Iterative Development: Adoption of agile methodologies for rapid prototyping, development, and iterative improvement of products.

• Data-Driven Decision Making: Utilizing data and metrics to inform product strategy, prioritize features, and measure impact.

• Platform-First Approach: Building foundational capabilities that enable broader ecosystem development and innovation on the Salesforce platform.

Company Website: https://www.salesforce.com/

📝 Enhancement Note: Salesforce's culture is deeply rooted in its "Trailblazer" ethos, emphasizing innovation, customer success, equality, and giving back. The company's leadership in AI CRM and its "Agentforce" initiative signal a strong focus on future technologies.

📈 Career & Growth Analysis

Operations Career Level: This is a senior leadership role (Director level) within Product Management, specifically focused on a strategic and technically complex area: Design Systems and AI tooling. It is a pivotal position that influences the entire Salesforce platform's user experience and development efficiency.

Reporting Structure: The Director will likely report to a VP of Product Management or a similar senior executive, overseeing a team of product managers and working closely with engineering and design leadership.

Operations Impact: The role's impact is immense, as it shapes the foundational components and tools that thousands of Salesforce developers and designers use daily. By enabling AI-assisted UI generation and enhancing creator productivity, this role directly contributes to faster innovation, improved user experience, and increased efficiency across the entire Salesforce ecosystem.

Growth Opportunities:

• Leadership Expansion: Potential to grow into higher executive leadership roles within Product Management, overseeing broader product portfolios or strategic initiatives.

• Deep Specialization: Opportunity to become a recognized expert in the rapidly evolving fields of Design Systems, AI for UI, and developer platforms.

• Strategic Influence: Direct influence on Salesforce's AI strategy and its implementation across the core platform, impacting millions of users and businesses.

• Mentorship: Opportunity to mentor and develop other product managers and leaders within the organization.

• Industry Thought Leadership: Potential to represent Salesforce at industry conferences and contribute to the broader discourse on AI, design systems, and developer productivity.

📝 Enhancement Note: This Director-level role offers significant scope for strategic impact and career advancement within a leading technology company, particularly in high-growth areas like AI and design systems.

🌐 Work Environment

Office Type: Salesforce operates a modern office environment designed for collaboration and innovation. As a hybrid role, expect a mix of dedicated office days for team meetings, brainstorming sessions, and in-person collaboration, alongside remote work flexibility.

Office Location(s): The primary location for this role is San Francisco, California. Salesforce maintains a significant presence in major tech hubs globally, but this specific role is tied to the San Francisco office.

Workspace Context:

• Collaborative Spaces: Offices are equipped with meeting rooms, huddle spaces, and open areas to facilitate team collaboration and cross-functional interaction.

• Technology-Rich Environment: Access to cutting-edge technology, developer tools, design software, and robust IT support is standard.

• Operations Team Interaction: Regular interaction with a diverse group of product managers, designers, engineers, and AI specialists, fostering a dynamic and intellectually stimulating work environment.

• Hybrid Work Setup: The workspace is adapted to support a hybrid model, with tools and practices in place for effective remote and in-office collaboration.

Work Schedule:

• The standard work schedule is 40 hours per week.

• Flexibility is provided within the hybrid model, allowing for adaptation to team needs and personal productivity rhythms.

• Expect periods of intense focus and collaboration, particularly around product launch cycles or strategic planning initiatives.

📝 Enhancement Note: The hybrid work environment at Salesforce is designed to balance the benefits of in-person collaboration with the flexibility of remote work, supported by advanced technology and a culture that values efficiency and teamwork.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter screen to assess basic qualifications, experience, and alignment with company values.

• Hiring Manager Interview: In-depth discussion with the hiring manager to assess strategic thinking, product vision, leadership capabilities, and technical depth related to AI and design systems.

• Cross-functional Interviews: Interviews with key stakeholders from Engineering, Design, and potentially other Product Management leaders. These sessions will focus on collaboration style, technical acumen, and ability to drive alignment.

• Portfolio Review/Presentation: A dedicated session where candidates present a selected case study or a strategic vision for the design system and AI integration. Emphasis will be on problem-solving, strategic thinking, technical understanding, and communication clarity.

• Executive Interview: A final interview with a senior executive (e.g., VP of Product) to assess overall fit, strategic alignment, and leadership potential.

Portfolio Review Tips:

• Focus on AI & Design Systems: Select case studies that prominently feature your experience with design systems, AI/ML concepts, developer tooling, and strategic product roadmapping.

• Structure for Impact: For your portfolio presentation, clearly articulate the problem, your strategic approach, the technical considerations, the product solutions (especially AI integration), the execution, and the measured impact (metrics, user adoption, efficiency gains).

• Demonstrate Technical Depth: Be prepared to discuss the technical nuances of AI/ML, LLMs, semantic ontologies, metadata schemas, and frontend infrastructure in the context of your work.

• Showcase Leadership & Collaboration: Highlight instances where you successfully aligned diverse stakeholders and drove complex initiatives through influence.

• Tailor to Salesforce: Research Salesforce's current AI initiatives ("Agentforce"), their existing Lightning Design System (SLDS), and their product philosophy to tailor your examples and strategic vision.

Challenge Preparation:

• Strategic Vision Exercise: Be prepared to discuss your vision for the future of design systems in an AI-driven enterprise environment.

• AI Integration Scenarios: Anticipate questions about how you would approach integrating LLMs into a design system for UI generation, including considerations for safety, governance, and developer experience.

• Stakeholder Alignment Scenarios: Prepare for questions about how you would navigate conflicting priorities or technical disagreements among engineering, design, and executive teams.

• Product Metrics & Measurement: Be ready to discuss how you would define and measure success for an AI-ready design system and creator tooling platform.

📝 Enhancement Note: The interview process is designed to thoroughly assess strategic thinking, technical expertise, leadership, and cultural fit within a complex, innovation-driven organization like Salesforce. The portfolio review is a critical component for demonstrating practical experience and strategic vision.

🛠 Tools & Technology Stack

Primary Tools:

• Design Systems Platforms: Experience with or understanding of enterprise design system tools and frameworks (e.g., Storybook, Figma, Sketch) is essential. Familiarity with Salesforce Lightning Design System (SLDS) is a significant advantage.

• AI/ML Platforms: Exposure to or understanding of AI/ML development environments, LLM APIs, and related technologies. While not hands-on development, conceptual understanding is key.

• Product Management Tools: Proficiency with tools like Jira, Confluence, Asana, Aha!, or similar for roadmap planning, backlog management, and documentation.

• Collaboration Suites: Expertise in using tools like Slack, Microsoft Teams, Google Workspace for daily communication and collaboration.

Analytics & Reporting:

• Product Analytics: Experience with tools like Amplitude, Mixpanel, or internal Salesforce analytics platforms to track product usage, user behavior, and feature adoption.

• BI Tools: Familiarity with BI tools (e.g., Tableau, Power BI) for data analysis and reporting on product performance and impact.

• Performance Monitoring: Understanding of how to monitor the performance and stability of design system components and creator tooling.

CRM & Automation:

• CRM (Salesforce): A deep understanding of the Salesforce platform and its CRM capabilities is highly beneficial, given the role's context.

• Automation Tools: Awareness of workflow automation principles and tools that can enhance developer and designer productivity.

• Integration Tools: Understanding of how different systems and tools integrate within a large enterprise ecosystem.

📝 Enhancement Note: While this role is product management-focused, a strong understanding of the underlying technologies, including AI/ML frameworks, design system architectures, and developer tooling, is crucial. Familiarity with Salesforce's own technology stack (SLDS, LWC, Salesforce CRM) will be a significant plus.

👥 Team Culture & Values

Operations Values:

• Customer Success: A core Salesforce value, extending to enabling internal users (designers, developers) and external partners to achieve success.

• Innovation: A continuous drive to explore and implement cutting-edge technologies, especially AI, to redefine how products are built and used.

• Equality: Commitment to fair and inclusive practices in product development, ensuring accessibility and equitable experiences for all users.

• Trust: Building reliable and secure systems, especially critical when dealing with AI-generated content and sensitive enterprise data.

• Efficiency: A focus on optimizing processes and workflows to accelerate development cycles and enhance productivity for builders.

Collaboration Style:

• Cross-functional Synergy: Emphasizes tight collaboration between Product Management, Design, Engineering, and AI specialists to achieve shared goals.

• Open Communication: Encourages direct, transparent, and constructive feedback exchanges across teams.

• Knowledge Sharing: Fosters an environment where best practices, learnings, and insights are shared openly, particularly regarding AI and design systems.

• Data-Informed Iteration: Collaborative approach to analyzing data, identifying opportunities, and iteratively improving products based on user feedback and performance metrics.

📝 Enhancement Note: Salesforce's strong emphasis on its core values and collaborative culture is integral to how teams operate. Candidates are expected to embody these values and contribute positively to the team's dynamic.

⚡ Challenges & Growth Opportunities

Challenges:

• AI Integration Complexity: Navigating the technical challenges and ethical considerations of embedding generative AI and LLMs into enterprise design systems and tooling.

• Scalability & Governance: Ensuring the design system and AI capabilities can scale effectively across a vast platform while maintaining robust governance, accessibility, and brand consistency.

• Cross-functional Alignment: Managing diverse stakeholder needs and priorities across different departments (UX, Engineering, AI Platform, Executive) in a large organization.

• Pace of AI Innovation: Keeping pace with the rapid advancements in AI technology and strategically integrating them into the product roadmap.

• Developer/Designer Adoption: Driving the adoption of new AI-powered tools and design system standards among a broad base of internal and external developers and designers.

Learning & Development Opportunities:

• AI & Generative Design: Deep dive into the latest advancements in AI, LLMs, and their application to UI/UX and product development.

• Platform Architecture: Gain in-depth knowledge of Salesforce's complex platform architecture and how design systems and AI integrate at scale.

• Strategic Product Leadership: Develop advanced skills in strategic planning, executive communication, and leading complex, transformative product initiatives.

• Industry Trends: Stay at the forefront of design systems, developer experience, and AI innovation through conferences, research, and internal knowledge sharing.

• Mentorship Programs: Access to mentorship from senior leaders within Salesforce to foster career growth and leadership development.

📝 Enhancement Note: This role presents significant challenges at the cutting edge of AI and design systems, offering unparalleled opportunities for learning, growth, and making a substantial impact on the future of enterprise software development.

💡 Interview Preparation

Strategy Questions:

• "Describe your vision for how AI will transform enterprise design systems and creator tooling over the next 3-5 years. How would you position Salesforce to lead this transformation?" (Focus on strategic thinking, AI trends, and Salesforce's market position.)

• "Walk me through a time you defined a multi-year product strategy for a complex technical platform or developer tool. What were the key considerations, how did you gain alignment, and what was the outcome?" (Prepare a detailed case study highlighting strategic roadmapping, stakeholder management, and execution.)

• "How would you approach building guardrails and governance for AI-generated UI components to ensure accessibility, security, and brand compliance? What metrics would you track?" (Focus on risk management, ethical AI, and measurement strategies.) Company & Culture Questions:

• "How do you see your role contributing to Salesforce's mission of driving customer success through AI CRM?" (Connect your product vision and execution to Salesforce's overarching goals.)

• "Describe your experience working with engineering and design teams. How do you foster collaboration and ensure alignment on complex technical roadmaps?" (Highlight your collaborative leadership style and ability to bridge technical and design disciplines.)

• "Given Salesforce's focus on innovation and equality, how would you ensure our design systems and AI tools are inclusive and accessible to all users and developers?" (Demonstrate understanding of Salesforce's values and their application to product development.) Portfolio Presentation Strategy:

• Structure Your Narrative: Clearly define the problem, your solution (especially the AI/design system aspects), the technical challenges, your strategic approach, the execution, and the measurable impact.

• Quantify Impact: Use data and metrics wherever possible to demonstrate the value of your work (e.g., reduction in development time, increase in component adoption, improvement in UI consistency, efficiency gains from AI tools).

• Showcase Technical Acumen: Be prepared to discuss the technical trade-offs, architectural decisions, and AI/ML concepts relevant to your presented work.

• Tailor to Salesforce: Explicitly reference Salesforce's products, design system (SLDS), and AI initiatives where relevant to show you've done your research.

• Be Ready for Deep Dives: Anticipate follow-up questions on any aspect of your presentation, from high-level strategy to specific technical details.

📝 Enhancement Note: The interview process is rigorous, focusing on strategic leadership, technical depth in AI and design systems, and the ability to drive complex initiatives in a large enterprise. Thorough preparation, especially around case studies and strategic vision, is key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the official Salesforce careers portal via the provided URL.

• Portfolio Customization: Select 1-2 key projects that best showcase your experience in product management for design systems, developer tooling, or AI-driven product development. Tailor the presentation to highlight your strategic vision for AI integration within design systems and your ability to drive such initiatives at an enterprise scale.

• Resume Optimization: Ensure your resume clearly articulates your 10+ years of product management experience, emphasizing roles related to design systems, developer platforms, enterprise infrastructure, and AI/ML. Use keywords from the job description such as "AI-ready design system," "creator tooling," "LLM capabilities," "semantic ontologies," and "strategic roadmapping." Quantify achievements with metrics where possible.

• Interview Preparation: Practice articulating your strategic vision for AI in design systems, your experience with complex stakeholder management, and your technical understanding of AI/ML concepts. Prepare a compelling narrative for your portfolio presentation, focusing on impact and alignment with Salesforce's "Agentforce" initiative.

• Company Research: Deeply research Salesforce's current AI strategy, the Lightning Design System (SLDS), their product philosophy, and their core values. Understand how this role fits into the broader company objectives, particularly regarding the "agentic enterprise" era.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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