Principal Product Designer. - Atlanta

📍 Job Overview

Job Title: Principal Product Designer

Company: PagerDuty

Location: Atlanta, Georgia, USA

Job Type: Full-Time

Category: Product Design (AI/ML Focus)

Date Posted: March 05, 2026

Experience Level: 10+ Years

Remote Status: Hybrid (2 days/week in office)

🚀 Role Summary

• Lead the design strategy for PagerDuty's cutting-edge AI and Automation initiatives, focusing on AI agents and intelligent insights.

• Drive the user experience vision for complex technical products, ensuring intuitive, trustworthy, and transformative AI capabilities for technical operations teams.

• Foster innovation and excellence within the UX team by mentoring designers on AI/UX best practices and establishing scalable design principles.

• Collaborate closely with cross-functional teams including AI/ML engineers, product managers, and data scientists to translate advanced AI concepts into user-friendly solutions.

• Shape the future of Digital Operations Management by pioneering AI-driven solutions that enhance operational resilience and efficiency at scale.

📝 Enhancement Note: This role is positioned as a Principal Designer, indicating a senior individual contributor role with significant strategic influence and potential mentorship responsibilities. The focus on AI and Automation within Digital Operations Management suggests a need for deep understanding of complex technical systems and user needs in mission-critical environments.

📈 Primary Responsibilities

• Define and articulate the design vision and roadmap for PagerDuty's AI and automation features, including autonomous AI agents and intelligent automation workflows.

• Lead the end-to-end design process for AI-driven products, from conceptualization and user research to high-fidelity prototyping and implementation support.

• Champion user-centric design principles, focusing on AI transparency, explainability, and user control to build trust in intelligent systems.

• Conduct strategic user research, including qualitative and quantitative studies, to understand how technical operations teams adopt and benefit from AI-powered recommendations and automation.

• Mentor and guide fellow designers, fostering a culture of continuous learning and sharing best practices in AI/UX and complex system design.

• Partner with Product Management and Engineering to translate complex AI/ML capabilities into intuitive, actionable user experiences that drive business value.

• Represent the design function in executive-level discussions regarding AI strategy, product positioning, and innovation.

• Establish and evolve design systems, patterns, and frameworks specifically for AI and automation features to ensure consistency and scalability across the PagerDuty Operations Cloud.

📝 Enhancement Note: The primary responsibilities emphasize strategic leadership, cross-functional collaboration, and deep technical product design expertise, particularly in the domain of AI/ML. The expectation to mentor and influence at an executive level signifies the seniority and impact expected from a Principal Designer.

🎓 Skills & Qualifications

Education:

Experience:

• A minimum of 10 years of progressive experience in product design, UX design, or interaction design, with a strong emphasis on complex technical products.

• At least 3 years of dedicated experience designing for AI/ML products, intelligent systems, automation platforms, or data-intensive applications.

Required Skills:

• Expertise in user-centered design methodologies, including user research, information architecture, interaction design, and visual design.

• Demonstrated experience in designing for AI/ML products, including understanding of AI transparency, explainability, and user trust principles.

• Strong portfolio showcasing significant contributions to AI/UX, conversational interfaces, automation design, or intelligent agent experiences for technical audiences.

• Proven ability to collaborate effectively with cross-functional teams (Product Management, Engineering, Data Science) in an agile environment.

• Excellent communication, presentation, and storytelling skills, with the ability to articulate design decisions and rationale to diverse stakeholders, including executive leadership.

Preferred Skills:

• Experience designing for developer tools, DevOps platforms, IT operations management (ITOM), or similar technical operations products.

• Deep understanding of core AI/ML concepts, including Large Language Models (LLMs), generative AI, predictive modeling, and agentic systems.

• Proven experience in establishing and scaling design systems or design frameworks within a SaaS or enterprise software company.

• Demonstrated thought leadership through contributions to the design community, such as speaking engagements, publications, or open-source contributions.

• Experience working in high-growth SaaS environments with a focus on complex enterprise technical audiences.

📝 Enhancement Note: The qualifications highlight a senior-level designer with specialized expertise in AI/ML product design and a strong background in technical products. The emphasis on portfolio, cross-functional collaboration, and strategic influence is crucial for a Principal role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a deep understanding of the design process for complex, data-driven products, with a focus on how user needs were identified and addressed.

• Showcase specific examples of designing AI/ML features, intelligent agents, or automation workflows, detailing the problem, your approach, and the impact.

• Include case studies that highlight your ability to translate complex technical concepts into intuitive and trustworthy user experiences.

• Present evidence of your strategic thinking and leadership in design, such as influencing product roadmaps, establishing design principles, or mentoring other designers.

Process Documentation:

• Provide examples of how you have documented design processes, workflows, and decision-making for AI/ML products to ensure clarity and alignment across teams.

• Illustrate your approach to establishing and maintaining design systems or component libraries, particularly those relevant to AI features (e.g., for explainability widgets, agent feedback mechanisms).

• Showcase your methods for collaborating with engineering and data science teams to ensure successful implementation of complex AI/UX designs, including feedback loops and iteration strategies.

• Include documentation or descriptions of how you have measured the success and impact of your design solutions, focusing on user adoption, task completion, and operational efficiency improvements.

📝 Enhancement Note: For a Principal Product Designer, the portfolio should not only showcase design execution but also strategic thinking, process leadership, and the ability to drive impact in complex, technical domains like AI/ML. Demonstrating a structured approach to design, research, and cross-functional collaboration is key.

💵 Compensation & Benefits

Salary Range: $161,000 - $270,600 USD per year This range is based on the provided information and may vary depending on the primary work location and other factors.

Benefits:

• Comprehensive health insurance package.

• Eligibility for bonus, commission, and company equity.

• Employee Stock Purchase Program (ESPP).

• Retirement or pension plan options.

• Generous paid vacation time.

• Paid holidays and sick leave.

• Dutonian Wellness Days & HibernationDuty: Company-wide paid days off in addition to standard PTO.

• Paid parental leave: 22 weeks for pregnant parents, 12 weeks for non-pregnant parents (compliant with local laws).

• Paid volunteer time off: 20 hours per year.

• Company-wide hack weeks for innovation and collaboration.

• Mental wellness programs to support overall well-being.

Working Hours: Approximately 40 hours per week, with flexibility expected for a senior role and hybrid work arrangement.

📝 Enhancement Note: The salary range provided is for Atlanta, Georgia. PagerDuty's policy states that salary ranges are determined by role, level, and location. The listed benefits are extensive and align with a leading SaaS company, offering a strong total rewards package. The "Dutonian Wellness Days & HibernationDuty" are unique perks that emphasize employee well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Operations Management, Software as a Service (SaaS), AI/ML Technology

Company Size: PagerDuty is a publicly traded company (NYSE:PD), indicating a significant enterprise-level organization with a substantial employee base (likely 1,000+ employees, based on typical public SaaS company profiles).

Founded: PagerDuty was founded in 2009, giving it over a decade of experience and established presence in the market, now focusing heavily on AI/ML and automation for digital transformation.

Team Structure:

• The UX team is a key component, with this role reporting into it and collaborating closely with senior leadership, product management, engineering, and data science.

• This Principal Designer will specifically lead design strategy for the AI and Automation team, implying a dedicated, specialized focus within the broader product organization.

Methodology:

• PagerDuty leverages AI/ML and Automation as core components of its platform, indicating a data-driven approach to product development and operations management.

• The company emphasizes customer focus and delivering perfect digital experiences, suggesting a user-centric development methodology.

• Agile development practices are likely employed, requiring designers to be adaptable and work iteratively with engineering teams.

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

📝 Enhancement Note: PagerDuty positions itself as a leader in Digital Operations Management, leveraging AI/ML and automation. The company culture appears to be innovative, customer-focused, and values employee well-being and professional growth, as evidenced by their extensive benefits and "Dutonian" culture.

📈 Career & Growth Analysis

Operations Career Level: Principal Product Designer represents a senior individual contributor role. This level typically involves leading complex design initiatives, influencing product strategy, mentoring junior designers, and acting as a subject matter expert in a specialized area (in this case, AI/ML and automation UX). It signifies a high level of autonomy and impact.

Reporting Structure: The role reports into the UX team and will partner closely with senior leadership, product management, engineering, and data science. This indicates a highly collaborative and integrated reporting structure, common for senior design roles in tech companies.

Operations Impact: The Principal Product Designer will have a direct and significant impact on the future of PagerDuty's AI and automation offerings. By shaping intuitive and trustworthy AI experiences, this role will influence how thousands of organizations leverage technology for digital transformation, cloud migration, and DevOps modernization. The success of these AI capabilities will directly contribute to PagerDuty's market leadership and customer value proposition.

Growth Opportunities:

• Specialization: Deepen expertise in AI/UX, conversational interfaces, and automation design within the context of digital operations.

• Leadership: Transition into a Design Lead or Manager role, overseeing a team of designers, or continue as a Principal/Staff designer, becoming a recognized expert and strategic advisor.

• Cross-Functional Influence: Expand influence across product strategy, company-wide AI initiatives, and potentially contribute to PagerDuty's overall technology vision.

• Industry Recognition: Opportunities to contribute to the broader design community through speaking, writing, and sharing best practices in AI/UX.

📝 Enhancement Note: This role offers significant opportunities for career advancement within PagerDuty, particularly for those looking to specialize in the rapidly growing field of AI/ML product design with a focus on complex technical domains. The Principal level suggests a path toward Staff Designer or Design leadership.

🌐 Work Environment

Office Type: PagerDuty operates a hybrid work model. This specific role requires presence in the Atlanta office 2 days per week. The emphasis on collaboration suggests an office environment designed to facilitate team interaction, brainstorming, and cross-functional meetings.

Office Location(s): Atlanta, Georgia, USA. This location is one of PagerDuty's 8 major offices, offering a hub for in-person collaboration.

Workspace Context:

• The hybrid model allows for flexibility, balancing focused individual work with collaborative team engagement.

• The office environment is likely equipped with modern tools and technology to support design and engineering workflows.

• Opportunities for direct interaction with colleagues from product, engineering, and data science will be plentiful, fostering a dynamic and integrated work experience.

Work Schedule: A standard full-time work schedule is expected, with flexibility often provided to accommodate personal needs while ensuring core collaboration hours are met. The hybrid nature means coordinating in-office days with team needs.

📝 Enhancement Note: The hybrid model with a defined in-office requirement (2 days/week) is a key aspect of the work environment. This setup aims to blend the benefits of remote flexibility with the advantages of in-person collaboration for a role that necessitates close teamwork and strategic alignment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely conduct an initial call to assess basic qualifications, cultural fit, and interest.

• Portfolio Review: A dedicated session to walk through your portfolio, focusing on AI/ML design projects, strategic thinking, and problem-solving methodologies. Be prepared to discuss your design process, challenges, and outcomes in detail.

• Design Challenge/Case Study: You may be asked to complete a design exercise or present a detailed case study of a past project, focusing on how you would approach designing AI-driven features or solving a specific operational challenge.

• Cross-Functional Interviews: Interviews with key stakeholders, including Product Managers, Engineering Leads, and Data Scientists, to assess collaboration skills, technical understanding, and strategic alignment.

• Executive/Leadership Interview: A final interview with senior design or product leadership to evaluate strategic thinking, vision, and overall fit for the Principal Designer role.

Portfolio Review Tips:

• Highlight AI/ML Expertise: Clearly showcase projects involving AI agents, intelligent insights, automation, or complex data-driven applications. Detail the technical challenges and how you navigated them.

• Emphasize Strategic Impact: Go beyond execution; demonstrate how your design decisions influenced product strategy, user adoption, or business outcomes. Use metrics where possible.

• Showcase Collaboration: Explain how you partnered with product, engineering, and data science teams. Provide examples of how you translated technical constraints into user-centered solutions.

• Structure for Clarity: Organize your portfolio logically, with a clear narrative for each project: Problem, Process, Solution, and Impact.

• Prepare to Discuss Principles: Be ready to articulate your design principles, especially those related to AI transparency, explainability, and ethical considerations.

Challenge Preparation:

• Understand PagerDuty's Domain: Research PagerDuty's products, target audience (technical operations teams), and the challenges they solve in Digital Operations Management.

• AI/ML Design Thinking: Practice thinking through user problems in the context of AI/ML capabilities. Consider how users interact with, trust, and control autonomous or intelligent systems.

• Process Optimization Focus: Frame your solutions around improving operational efficiency, reducing MTTR (Mean Time To Resolution), or preventing incidents, aligning with PagerDuty's core value proposition.

• Articulate Trade-offs: Be prepared to discuss design trade-offs, technical feasibility, and how you balance user needs with business objectives and technical constraints.

📝 Enhancement Note: The interview process for a Principal Designer role is rigorous, focusing on strategic thinking, specialized AI/ML design skills, and cross-functional leadership. A well-curated portfolio and strong preparation for case studies or challenges are critical for success.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), InVision, ProtoPie.

• User Research & Analysis: UserTesting.com, Hotjar, Google Analytics, Lookback, Dovetail.

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

Analytics & Reporting:

• PagerDuty's own platform for operational insights and incident management data.

• Tools for analyzing user behavior within the product and understanding adoption of AI features.

CRM & Automation:

• While not directly a design tool, understanding PagerDuty's CRM (likely Salesforce) and automation workflows is beneficial for context.

• Familiarity with how AI and automation features integrate with broader customer operations workflows.

📝 Enhancement Note: Proficiency in industry-standard design and prototyping tools is essential. For this role, a strong understanding of how to design for AI/ML, intelligent systems, and automation platforms is paramount, often requiring deeper conceptual thinking beyond traditional UI design. Familiarity with the PagerDuty platform itself would be a significant advantage.

👥 Team Culture & Values

Operations Values:

• Customer-Focused: PagerDuty's core value is to help organizations deliver perfect digital experiences, indicating a strong emphasis on understanding and serving customer needs.

• Innovation: As a leader in AI/ML and Digital Operations Management, the company likely fosters a culture of continuous innovation and exploration of new technologies.

• Collaboration: The hybrid model and cross-functional nature of the role highlight the importance of teamwork and open communication.

• Accountability & Impact: PagerDuty emphasizes driving results and making a tangible impact, aligning with the expectations for a Principal-level contributor.

• Belonging & Inclusion: PagerDuty actively promotes a culture of belonging, suggesting an environment where diverse perspectives are valued.

Collaboration Style:

• Cross-Functional Integration: Expect close collaboration with Product Managers, AI/ML Engineers, Data Scientists, and other designers.

• Data-Driven Decision Making: Insights from user research and product analytics are likely used to inform design decisions.

• Iterative Design: Agile methodologies foster an iterative approach, with continuous feedback loops and adjustments.

• Mentorship and Knowledge Sharing: As a Principal Designer, you'll be expected to share your expertise and mentor others, contributing to a learning-oriented team environment.

📝 Enhancement Note: The emphasis on customer focus, innovation, and collaboration, combined with a commitment to AI/ML and operational resilience, defines PagerDuty's operational culture. The "Dutonian" identity suggests a strong sense of community and shared purpose.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Trust in AI: Ensuring users trust and understand complex AI agents and automation requires careful consideration of transparency, explainability, and control mechanisms.

• Translating Complex AI: Effectively communicating the value and functionality of advanced AI/ML capabilities to technical users in an intuitive manner.

• Balancing Innovation and Feasibility: Navigating the cutting edge of AI while ensuring designs are technically feasible, scalable, and align with user needs and business goals.

• Cross-functional Alignment: Achieving consensus and driving alignment on design strategy and execution across diverse teams (product, engineering, data science) with potentially different priorities.

• Hybrid Work Integration: Maximizing collaboration and design impact within a hybrid work model, ensuring effective communication and team cohesion.

Learning & Development Opportunities:

• AI/ML Specialization: Deepen expertise in designing for cutting-edge AI technologies like LLMs, generative AI, and agentic systems.

• Digital Operations Management Domain: Gain extensive knowledge of the challenges and solutions within the Digital Operations Management space.

• Leadership and Mentorship: Develop leadership skills by mentoring junior designers and influencing product strategy at a senior level.

• Industry Exposure: Potential opportunities to represent PagerDuty at industry events or contribute to thought leadership in AI/UX.

• Continuous Skill Enhancement: Access to learning resources, internal workshops, and potentially external training to stay at the forefront of design and AI trends.

📝 Enhancement Note: This role presents significant challenges at the forefront of AI product design, offering substantial growth opportunities for individuals passionate about shaping the future of intelligent operations.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an AI agent that needs to proactively alert users about potential incidents, ensuring it's perceived as helpful rather than intrusive?" (Focus on user control, notification strategy, and trust-building.)

• "Describe a time you had to translate a highly complex technical concept (e.g., predictive modeling, LLM capabilities) into a user-friendly experience. What was your process and what were the outcomes?" (Highlight your ability to simplify complexity and communicate value.)

Company & Culture Questions:

• "What interests you most about PagerDuty's mission and our focus on AI/ML in Digital Operations Management?" (Research PagerDuty's mission, values, and product offerings.)

• "How do you approach collaboration with engineering and data science teams, especially when designing for novel AI technologies?" (Demonstrate your understanding of cross-functional teamwork and communication.)

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation with a clear beginning (problem), middle (process/solutions), and end (impact/learnings).

• Focus on AI/ML Case Studies: Dedicate significant time to your most relevant AI/ML design projects. Detail the specific AI concepts involved and your design rationale.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs (e.g., improved user adoption, reduced error rates, increased efficiency).

• Explain Your Process: Walk through your design process, including user research, ideation, prototyping, and iteration. Be transparent about challenges and how you overcame them.

• Articulate Strategic Contribution: Explain how your role extended beyond execution to influence product direction or establish design principles.

📝 Enhancement Note: Preparation should focus on demonstrating deep expertise in AI/ML product design, strategic thinking, and the ability to collaborate effectively in a technical, fast-paced environment. Quantifying impact and showcasing a strong understanding of PagerDuty's domain are key.

📌 Application Steps

To apply for this Principal Product Designer position:

• Submit your application through the PagerDuty careers portal.

• Craft a compelling resume: Tailor your resume to highlight your 10+ years of experience, with a specific emphasis on your 3+ years of AI/ML product design experience and achievements in complex technical products. Use keywords from the job description.

• Curate your portfolio: Select 2-3 of your most impactful projects, prioritizing those that showcase AI/ML, automation, or complex technical system design. Ensure each project clearly articulates the problem, your process, your specific contributions, and the measurable outcomes. Prepare to present these in detail.

• Research PagerDuty: Understand their mission, products (especially AI/Automation features), target audience, and company values. Familiarize yourself with their approach to Digital Operations Management.

• Prepare for AI/UX Discussions: Be ready to discuss your philosophy on designing for AI trust, explainability, and user control, and how you've applied these principles in past work. Practice articulating complex design decisions clearly and concisely.

⚠️ 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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