Senior Product Design Manager

📍 Job Overview

Job Title: Senior Product Design Manager

Company: Fivetran

Location: Oakland, California, United States

Job Type: Full-time

Category: Operations (Product Design Management, UX Strategy)

Date Posted: 2026-07-24T17:43:46

Experience Level: 10+ years

Remote Status: Hybrid

🚀 Role Summary

• Lead and manage a team of product designers focused on technical data products within the dbt Labs ecosystem.

• Define and drive the User Experience (UX) strategy for dbt's product suite, connecting design priorities to critical product outcomes and business objectives.

• Shape the design direction for complex, AI-powered, and agentic product experiences within the data infrastructure domain.

• Play a pivotal role in integrating the design cultures and systems of Fivetran and dbt Labs, acting as a change leader during organizational evolution.

• Build and operationalize an AI-native design operating model, establishing workflows and quality standards for AI-assisted design processes.

📝 Enhancement Note: This role is positioned within a highly technical data infrastructure company, requiring a leader who can bridge the gap between design craft and complex engineering domains. The emphasis on AI-native operations and agentic workflows indicates a forward-thinking approach to product development and design processes. The hybrid nature suggests a need for strong remote collaboration skills in addition to in-office presence.

📈 Primary Responsibilities

• Manage, coach, and develop a team of product designers responsible for dbt platform and CLI-based products, fostering a culture of high-quality, impactful work.

• Own the end-to-end design process, from problem definition and user research to UX/UI design and close collaboration with engineering and product management for successful delivery.

• Define and execute the UX strategy for dbt, identifying high-impact opportunities and aligning design priorities with product roadmap and direction.

• Provide strategic design direction for complex workflows used by technical practitioners, demonstrating sufficient technical fluency to partner credibly with engineering leaders.

• Lead the design strategy for AI-powered and agentic experiences, ensuring AI assistance is understandable, useful, and safe for critical technical tasks.

• Drive the integration of Fivetran and dbt Labs design teams, merging systems, processes, and culture to create a unified product experience.

• Operationalize AI across the design lifecycle (research synthesis, ideation, prototyping, documentation, QA) by establishing shared workflows, quality standards, and review practices.

• Partner with Director of Product Design and Product/Engineering leadership to define cross-functional standards for AI-generated work and human oversight.

• Contribute to the strategic peer group for roadmap and product direction conversations, influencing the future of data teams' tools.

📝 Enhancement Note: The responsibilities highlight a blend of people management, strategic UX leadership, and hands-on involvement in cutting-edge AI product design. The emphasis on "change leadership" and "integration" suggests a critical period of organizational evolution where the candidate's ability to navigate and influence change will be paramount.

🎓 Skills & Qualifications

Education: Not explicitly specified, but a strong portfolio and relevant experience are prioritized.

Experience:

• 8+ years of product design experience.

• At least 5 years of experience managing product designers.

• Experience designing for or leading teams that design for technically complex products (e.g., ELT, data infrastructure, analytics engineering, developer tools, cloud platforms, data governance, observability, enterprise infrastructure).

• Experience designing AI-powered or agentic product experiences, understanding the nuances between features, copilots, and agents.

• Proven experience operationalizing AI workflows for product design teams, including defining usage across the design lifecycle, establishing standards, and review practices.

• Experience owning UX strategy for significant product areas, demonstrating influence on product direction beyond screen delivery.

• Strong technical fluency to reason about complex systems and partner credibly with engineering.

• Experience designing for expert technical users (e.g., data engineers, analytics engineers, software engineers, platform teams, security teams). Required Skills:

• People Management & Coaching: Demonstrated ability to manage, coach, and develop design teams, foster strong culture, and provide actionable feedback.

• UX Strategy: Expertise in defining and driving UX strategy, linking design initiatives to product outcomes and business goals.

• AI/Agentic Product Design: Deep understanding and practical experience designing complex AI-powered and agentic product experiences for technical users.

• Technical Fluency: Ability to understand and discuss complex technical systems, engineering constraints, and tradeoffs within the data infrastructure domain.

• Cross-functional Leadership: Proven ability to lead and collaborate effectively with Product, Engineering, Research, Data, Marketing, and executive stakeholders.

• Change Management: Experience navigating and leading teams through organizational change and integration processes.

• Design Craft & Direction: Ability to provide strategic design direction, critique, and coaching, rather than acting as the primary individual contributor designer.

• Operationalizing AI: Experience in establishing practical workflows, quality standards, and review practices for AI-assisted design processes at team scale.

Preferred Skills:

• Experience with data movement (ELT), data transformation (dbt), and analytics engineering workflows.

• Familiarity with cloud platforms and enterprise infrastructure.

• Experience with developer tools and platform team products.

• Knowledge of data governance and observability principles.

📝 Enhancement Note: The emphasis on "technical fluency" and designing for "expert technical users" is crucial. While not needing to be an engineer, the candidate must possess a deep enough understanding of the data ecosystem to lead design effectively. The requirement for operationalizing AI in design is a key differentiator, indicating a need for a candidate with practical, scalable experience beyond theoretical AI integration.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of leading and managing product design teams, showcasing team growth and impact.

• Case studies detailing the development of UX strategy for complex technical products, emphasizing strategic influence on product direction and outcomes.

• Examples of designing AI-powered or agentic product experiences, clearly articulating the problem, solution, and user impact.

• Evidence of operationalizing AI within a design team's workflow, detailing implemented processes, tools, and quality standards.

• Projects involving technically complex domains such as data infrastructure, ELT, analytics engineering, or developer tools.

• Examples of cross-functional collaboration and stakeholder management, illustrating how design contributed to broader product and business goals. Process Documentation:

• Showcase of how user research was conducted for technical practitioners and how insights informed design decisions.

• Examples of design process documentation for complex workflows, including problem definition, ideation, prototyping, and user testing.

• Documentation of how AI was integrated into the design lifecycle, including workflows, templates, and quality assurance measures.

• Evidence of establishing and maintaining design systems or style guides for complex technical products.

📝 Enhancement Note: The portfolio should not just showcase individual design work but heavily emphasize leadership, strategic thinking, and the ability to scale design processes, particularly with AI integration. For this role, demonstrating how the candidate has influenced product strategy and managed teams through technical complexity and organizational change will be critical.

💵 Compensation & Benefits

Salary Range: $201,765 - $252,206 USD per year.

Benefits:

• 100% employer-paid medical insurance (may vary by country/worker type).

• Generous Paid Time Off (PTO), paid sick time, inclusive parental leave, holidays, and volunteer days off.

• Restricted Stock Unit (RSU) stock grants.

• Professional development and training opportunities.

• Company virtual happy hours, free food, and team-building activities.

• Monthly cell phone stipend.

• Access to an innovative mental health support platform offering therapy, coaching, and mindfulness resources for employees and dependents.

Working Hours: 40 hours per week (standard full-time).

📝 Enhancement Note: The provided salary range is specific to Oakland, California. The benefits package is comprehensive, with a strong emphasis on health, well-being, and professional growth, which are attractive to senior-level operations and design professionals. The mention of RSU grants indicates a significant equity component, common in growth-stage tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Data Infrastructure, Software as a Service (SaaS), AI-powered Data Products.

Company Size: Fivetran is a significant player in the data infrastructure space, with a substantial employee base (implied by its market valuation and offerings). The acquisition of dbt Labs indicates a large, growing, and impactful organization.

Founded: Fivetran was founded in 2012. dbt Labs has a strong presence in the analytics engineering community. The combined entity represents a significant force in the modern data stack.

Team Structure:

• The role reports to the Director of Product Design.

• Manages a team of product designers focused on dbt Labs products.

• Requires strong cross-functional partnerships with Product Management, Engineering, Research, Data, Marketing, and executive leadership.

• The design organization is described as strong, talented, and caring deeply about craft, practitioners, and each other. Methodology:

• Focus on data-driven decision-making and enabling customers to become data-driven.

• Emphasis on automating data movement and transformation.

• Pioneering analytics engineering practices.

• Building trusted data foundations for analytics and AI.

• Commitment to AI-native product development and operationalizing AI across the product lifecycle.

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

📝 Enhancement Note: The company culture is characterized by a strong mission ("make access to data as simple and reliable as electricity"), core values ("Get Stuck In, Do the Right Thing, One Team, One Dream"), and a commitment to diversity, equity, inclusion, and belonging. The acquisition of dbt Labs suggests a dynamic, growth-oriented environment focused on innovation in the data and AI space. The "One Team, One Dream" value is particularly relevant for a role focused on integration.

📈 Career & Growth Analysis

Operations Career Level: Senior Management/Leadership within Product Design. This role is a people management and product leadership position, requiring strategic influence and team development.

Reporting Structure: Reports to the Director of Product Design. Works closely with Product and Engineering leadership as a strategic peer.

Operations Impact: This role has a significant impact on the user experience of critical data infrastructure tools used by technical practitioners. By shaping the UX strategy for dbt products and leading the design for AI-powered features, the role directly influences how organizations build, transform, govern, and trust their data, ultimately impacting their ability to make better business decisions and leverage AI effectively.

Growth Opportunities:

• Leadership Expansion: Potential to grow into a Director or VP of Product Design role, overseeing larger design organizations or multiple product areas within the combined Fivetran + dbt Labs entity.

• Specialization in AI Product Design: Opportunity to become a recognized expert in designing AI-native experiences for complex technical domains.

• Strategic Influence: Deeper involvement in product strategy, roadmap planning, and influencing the technical direction of data products at scale.

• Change Leadership: Developing strong change management and integration leadership skills in a high-growth M&A environment.

• Mentorship: Continued opportunity to mentor and develop product designers, fostering the next generation of design leaders.

📝 Enhancement Note: This role represents a significant step into senior leadership within the product design function of a major data infrastructure company. The growth path is geared towards broader strategic impact and leadership within a rapidly evolving tech landscape, particularly in AI and data.

🌐 Work Environment

Office Type: Hybrid work environment. The job posting specifies "Oakland, California, United States" and includes the hashtag #LI-Hybrid, indicating that the role requires a combination of in-office and remote work.

Office Location(s): Oakland, California, United States.

Workspace Context:

• The role requires collaboration with designers, Product Managers, Engineers, and other stakeholders, suggesting a dynamic and interactive work environment.

• Access to modern design tools and technology is implied, essential for leading a design team.

• The hybrid model allows for focused individual work remotely and collaborative sessions, brainstorming, and team building in the office.

• The company emphasizes virtual happy hours, free food, and team-building activities, suggesting a culture that values connection and team cohesion.

Work Schedule: Standard 40-hour work week, with the flexibility inherent in a hybrid and potentially global tech organization. The focus is on outcomes and impact rather than strict adherence to hours.

📝 Enhancement Note: The hybrid nature of the role necessitates strong organizational skills for balancing remote and in-office work. It implies a need for asynchronous communication proficiency alongside in-person collaboration. The company's emphasis on virtual events and team-building activities indicates an effort to maintain a strong culture despite the dispersed nature of some work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely involves a recruiter screening to assess basic qualifications, experience alignment, and cultural fit.

• Hiring Manager Interview: A discussion with the Director of Product Design to delve deeper into leadership philosophy, team management experience, technical fluency, and strategic thinking.

• Team/Peer Interviews: Meetings with other design leaders, Product Managers, and Engineering leads to assess cross-functional collaboration skills and technical understanding.

• Portfolio Review: A dedicated session where the candidate presents their portfolio, focusing on leadership examples, strategic impact, and AI/technical product design case studies. This is a critical stage.

• Executive Interview: Potentially a final interview with a senior leader to assess overall leadership potential and strategic alignment.

Portfolio Review Tips:

• Lead with Leadership: Begin by showcasing your management and team-building successes. Highlight how you've grown designers and fostered a positive team culture.

• Strategic Impact: For each case study, clearly articulate the problem, your strategic approach, the design decisions made, and the measurable impact on product outcomes and user behavior. Quantify results whenever possible.

• Technical & AI Depth: Dedicate significant time to technically complex projects and AI/agentic experience designs. Explain your technical fluency and how you partnered with engineering. For AI, detail your approach to operationalizing AI in design and ensuring quality.

• Process & Evolution: Discuss your design processes, how you adapt them, and how you've led teams through change or integration. Highlight your role in building an AI-native design operating model.

• Storytelling: Craft a narrative for each project that engages the audience and clearly demonstrates your problem-solving skills, strategic thinking, and leadership capabilities.

Challenge Preparation:

• Prepare to discuss how you would approach integrating the Fivetran and dbt Labs design teams and cultures.

• Be ready to articulate your vision for AI-native design workflows and how you would implement them.

• Anticipate questions about managing designers working on highly technical, CLI-based, and complex data products.

• Prepare specific examples of how you've partnered with Product and Engineering to influence product strategy and roadmap.

• Practice articulating your technical fluency and how you engage with engineering partners on complex trade-offs.

📝 Enhancement Note: The interview process will heavily scrutinize leadership capabilities, strategic vision, and practical experience with complex technical products and AI. The portfolio review is paramount, requiring the candidate to demonstrate not just design skill but also the ability to lead, strategize, and operationalize design at scale within a technical domain.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (likely, given industry standards).

• Collaboration & Project Management: Jira, Confluence, Asana, Trello, Slack.

• User Research: UserTesting.com, Lookback, Optimal Workshop, Qualtrics, or similar platforms.

• AI Design Tools: Potentially AI-assisted design tools for ideation, content generation, prototyping, or research synthesis (e.g., Midjourney, ChatGPT integrations, specialized AI design platforms).

Analytics & Reporting:

• Product Analytics: Amplitude, Mixpanel, Google Analytics (or internal equivalents).

• Data Visualization: Tableau, Power BI, Looker (or internal BI tools).

• A/B Testing: Optimizely, VWO, or in-house experimentation platforms.

CRM & Automation:

• CRM: Salesforce, HubSpot (for relevant stakeholder interactions, though less direct for design management).

• Internal Data Platforms: Understanding of data warehouses and data pipelines (e.g., Snowflake, BigQuery, Redshift) is beneficial.

📝 Enhancement Note: Proficiency with leading design tools is essential. The role also requires an understanding of how design interacts with product analytics, data platforms, and potentially AI-specific tools. The ability to operationalize AI within the design stack implies familiarity with integrating AI tools into existing workflows.

👥 Team Culture & Values

Operations Values:

• Get Stuck In: Proactive problem-solving, taking initiative, and diving into challenges, especially during integration and AI development.

• Do the Right Thing: Ethical decision-making, focusing on user needs, data integrity, and responsible AI implementation.

• One Team, One Dream: Collaborative spirit, shared ownership, and working towards unified goals, particularly critical for integrating Fivetran and dbt Labs.

• Data-Driven: Utilizing data and insights to inform design decisions, measure impact, and optimize user experiences.

• User-Centricity: Deep empathy for technical practitioners and a commitment to building tools that solve their complex problems effectively.

• Innovation & Learning: Embracing new technologies like AI, fostering a culture of continuous learning and experimentation.

Collaboration Style:

• Cross-functional Partnership: Highly collaborative with Product Management and Engineering to define product strategy and technical feasibility.

• Strategic Peer: Works as an equal partner with leadership in Product and Engineering, contributing to roadmap and strategic discussions.

• Design Community Building: Fosters a supportive and collaborative environment within the design team, encouraging knowledge sharing and mutual growth.

• Feedback Culture: Promotes constructive feedback loops within the design team and with cross-functional partners to ensure high-quality design outcomes.

📝 Enhancement Note: The company's core values are explicitly stated and should guide the candidate's approach. The "One Team, One Dream" value is particularly relevant given the ongoing integration of Fivetran and dbt Labs, requiring a leader who can foster unity and shared purpose across diverse teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Integration Complexity: Navigating the organizational and cultural integration of two distinct companies (Fivetran and dbt Labs) and their design teams.

• AI Adoption at Scale: Operationalizing AI across the design lifecycle effectively, ensuring quality, and managing potential skepticism or resistance to AI tools.

• Designing for Technical Users: Deeply understanding and designing for the complex needs and workflows of expert technical practitioners in the data space.

• Balancing Strategic Leadership with Team Development: Effectively managing a team while also driving high-level UX strategy and influencing product direction.

• Evolving AI Landscape: Keeping pace with the rapid advancements in AI and agentic technologies and translating them into meaningful product experiences.

Learning & Development Opportunities:

• AI Product Design Expertise: Becoming a leader in designing AI-native experiences for enterprise technical products.

• Change Leadership Skills: Gaining experience in managing and leading teams through significant organizational change and M&A integration.

• Strategic Product Influence: Deepening involvement in product strategy, roadmap planning, and executive-level decision-making within the data infrastructure domain.

• Mentorship & Leadership Development: Opportunities to mentor and develop aspiring design leaders and contribute to the growth of the design function.

• Industry Conferences & Training: Access to professional development resources to stay current with design trends, AI advancements, and data industry best practices.

📝 Enhancement Note: The challenges presented are significant but also offer substantial opportunities for professional growth. The candidate's ability to navigate ambiguity, drive change, and innovate with AI will be key to success and future career advancement.

💡 Interview Preparation

Strategy Questions:

• "How would you approach integrating the design teams of Fivetran and dbt Labs, considering their existing cultures and processes?" (Focus on change management, communication, and building a unified vision.)

• "Describe your philosophy and practical experience in operationalizing AI within a product design team. What workflows, standards, and quality checks would you implement?" (Highlight your AI-native design operating model experience.)

• "How do you ensure design leadership effectively influences product strategy and roadmap for complex technical products, especially when competing priorities exist?" (Demonstrate strategic thinking and cross-functional influence.)

• "Walk us through a time you successfully led a team through a significant organizational or product change." (Prepare a STAR method story emphasizing your leadership and team management.) Company & Culture Questions:

• "Based on our company values (Get Stuck In, Do the Right Thing, One Team, One Dream), how would you apply them in your role as a Senior Design Manager?" (Connect values to actionable behaviors and team leadership.)

• "How would you foster a strong design culture within a hybrid work environment and during a period of company integration?" (Discuss strategies for connection, collaboration, and shared purpose.)

• "What are your thoughts on designing for technical practitioners, and what makes a product experience successful for this audience?" (Showcase empathy and understanding of the user base.) Portfolio Presentation Strategy:

• Structure your presentation: Start with a summary of your leadership philosophy and key achievements. Dedicate sections to your most impactful projects, emphasizing leadership, strategy, and AI/technical design.

• Quantify impact: Use data, metrics, and user feedback to demonstrate the success of your design strategies and team's work. Show ROI where possible.

• Focus on 'Why' and 'How': For each project, clearly explain the problem you were solving, your strategic approach, the trade-offs you made, and the specific methods you used.

• Showcase change leadership: Include examples where you've led teams through evolution, integration, or adoption of new processes/technologies.

• Tailor to the role: Emphasize your experience with technical products, AI, and managing design teams. Be prepared to discuss your operationalization of AI in design.

📝 Enhancement Note: Interview preparation should focus on demonstrating leadership, strategic thinking, technical fluency, and a proven ability to manage teams and processes, especially in the context of AI and organizational change. Your portfolio is your primary tool to prove these capabilities.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link on Fivetran's careers page.

• Portfolio Customization: Ensure your portfolio prominently features case studies demonstrating your leadership in managing product design teams, your strategic approach to UX for complex technical products, and your experience with AI-powered/agentic product design. Specifically highlight any experience in operationalizing AI workflows for design teams.

• Resume Optimization: Tailor your resume to highlight your 8+ years of product design experience and 5+ years of people management. Use keywords from the job description such as "UX Strategy," "AI Product Design," "Technical Fluency," "Cross-functional Leadership," and "Change Management." Quantify achievements where possible.

• Interview Preparation: Practice articulating your leadership philosophy, your approach to managing and developing designers, and your strategic vision for AI-native design. Prepare specific examples using the STAR method for behavioral questions. Rehearse your portfolio presentation, focusing on clarity, impact, and relevance to this specific role.

• Company Research: Deeply research Fivetran and dbt Labs, understanding their combined mission, core values, and current market position. Pay attention to their approach to data infrastructure, analytics engineering, and AI. Consider how your leadership style and strategic vision align with their culture, especially the "One Team, One Dream" value, given the integration.

⚠️ 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.