Principal Product Designer - PMTS

📍 Job Overview

Job Title: Principal Product Designer - PMTS

Company: Salesforce

Location: California, United States / Indiana, United States (Remote)

Job Type: Full-time

Category: User Experience / Product Design

Date Posted: July 21, 2026

Experience Level: 6+ years (with 2+ years in AI/Conversational Experiences)

Remote Status: Fully Remote

🚀 Role Summary

• Lead the design of innovative AI-driven user experiences for autonomous agents, focusing on the "AI brain" and "conversational presence" of a new AI SDR product.

• Drive the definition and execution of design patterns for enterprise AI agents, bridging the gap between user needs and complex AI capabilities.

• Collaborate directly with engineering and machine learning teams to ensure seamless integration and intuitive interaction design for AI-powered sales conversations.

• Leverage AI tooling as a core part of the design process, moving beyond traditional design software to create functional prototypes and dynamic user interfaces.

• Shape the future of AI in enterprise sales by contributing to the development of an AI SDR that handles autonomous sales conversations, follow-ups, and pipeline management.

📝 Enhancement Note: This role is situated within Salesforce's "Agentforce" initiative, emphasizing the company's strategic pivot towards AI-driven customer success and workforce transformation. The Principal Product Designer will be instrumental in defining how users interact with and control sophisticated AI agents, specifically in the enterprise sales context. The emphasis on "taste over process" and "prototypes over presentations" suggests a fast-paced, iterative environment where strong design judgment and technical prototyping skills are paramount.

📈 Primary Responsibilities

• Design and conceptualize user interfaces for Piper's AI brain, enabling users to tune its personality, goals, and objection handling strategies through intuitive, dynamic interactions rather than static settings panels.

• Develop the conversational presence for Piper's live chat and video experiences, focusing on micro-interactions, latency handling, turn-taking, and tone to ensure credibility and a non-uncanny user experience.

• Create functional prototypes using code or AI tools to rapidly iterate on design solutions and demonstrate complex AI interactions.

• Collaborate closely with Machine Learning engineers and software developers, fostering a culture of direct partnership and shared ownership from problem definition to final implementation.

• Define and establish new design patterns for autonomous AI agents in enterprise sales, contributing to the foundational principles of this emerging field.

• Translate complex AI behaviors, including LLM latency, streaming, confidence levels, and failure modes, into honest and understandable user interface elements.

• Conduct user research and validation, albeit in an "intentional" and "small" design setting, to inform design decisions and ensure product-market fit for AI-driven sales tools.

• Act as a creative director for AI collaborators, guiding the development of AI-powered sales tools that enhance human agent capabilities and drive customer success.

📝 Enhancement Note: The responsibilities highlight a significant departure from traditional product design. The Principal Product Designer is expected to not only design interfaces but also to actively shape the AI's behavior and its user-facing representation. The emphasis on "tuning" the AI's personality and objection handling suggests a need for design solutions that allow for sophisticated configuration and control, rather than simple feature implementation.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience. Experience:

• A minimum of 6 years of professional experience in product design, with a strong portfolio showcasing a track record of shipping successful digital products.

• At least 2 years of dedicated experience designing for AI-powered products, conversational interfaces, or complex algorithmic systems. Required Skills:

• AI/Conversational Design Expertise: Deep understanding of LLM behavior (latency, streaming, confidence, failure modes) and demonstrable experience designing for these characteristics.

• Prototyping Proficiency: Fluency in using AI tooling and coding for prototyping, moving beyond traditional tools like Figma to create interactive and functional design explorations.

• Visual & Interaction Craft: Exceptional visual design skills and a strong command of interaction design principles, with a sophisticated aesthetic sensibility.

• Problem Definition: Ability to independently define problems and scope design challenges, working effectively without a detailed brief.

• Cross-Functional Collaboration: Proven experience working directly and collaboratively with engineering and machine learning teams, fostering a shared understanding and ownership of product development.

• Enterprise Context: Understanding of enterprise sales workflows and CRM systems is highly beneficial for contextualizing AI agent interactions.

• Autonomous Workflow Design: Experience designing complex, multi-step workflows that empower users to automate tasks or delegate control to AI systems.

Preferred Skills:

• Background in voice, video, or real-time communication design.

• Familiarity with the nuances of enterprise sales cycles and customer relationship management (CRM) processes.

• Experience designing and implementing multi-step autonomous workflows.

• Proficiency with design systems and their application in evolving AI product landscapes.

📝 Enhancement Note: The requirement for "prototyping in code or with AI tools" is a critical differentiator. Candidates are expected to be hands-on with technology, capable of building functional prototypes that reflect the dynamic nature of AI interactions, rather than relying solely on static mockups. The preference for "taste over process" implies that a strong design sensibility and the ability to make sound aesthetic and functional judgments are highly valued.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI Interaction Case Studies: Showcase projects demonstrating your ability to design for AI, specifically highlighting how you addressed LLM behavior, conversational flow, and user trust in AI systems.

• Prototyping Examples: Include examples of prototypes created using code or AI tools, illustrating your technical proficiency and ability to bring complex AI interactions to life.

• Problem Definition Examples: Present instances where you defined ambiguous problems and developed innovative design solutions, demonstrating your comfort with ambiguity and independent problem-solving.

• Cross-Functional Collaboration Evidence: Detail projects where you worked closely with engineers and ML teams, providing insights into your collaborative process and how you facilitated seamless integration.

• Visual and Interaction Design Excellence: Demonstrate a strong portfolio of visually appealing and functionally robust interfaces, with a clear emphasis on micro-interactions and user experience flow.

Process Documentation:

• Workflow Design & Optimization: Illustrate how you approach designing and optimizing complex workflows, particularly those involving autonomous agents or AI-driven decision-making.

• System Implementation & Automation: Provide examples of how your designs have been implemented within technical systems, and how they leveraged automation or AI to improve efficiency.

• Measurement & Performance Analysis: Show how you measure the success of your designs, with a focus on metrics related to AI effectiveness, user adoption, and business impact.

📝 Enhancement Note: The portfolio should not only showcase design output but also the candidate's approach to problem-solving, technical execution, and collaboration within an AI product development context. Given the role's emphasis on defining new patterns, demonstrating how a candidate tackles novel challenges and translates them into tangible design solutions will be crucial.

💵 Compensation & Benefits

Salary Range:

• Typical US Range: $197,300 - $313,700 annually

• Select US Metro Areas (e.g., San Francisco, NYC): $237,700 - $344,700 annually

Notes on Salary:

• The provided ranges represent base salary only and do not include potential company bonus, incentive compensation (for sales roles), equity, or benefits.

• Compensation will be determined by factors such as location, job level, job-related knowledge, skills, and experience.

• The application deadline is July 30, 2026. Benefits:

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

• Time Off Programs: Generous paid time off to ensure work-life balance.

• Family Support: Paid Parental Leave.

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

• Additional Resources: Detailed benefits information available at salesforcebenefits.com.

Working Hours:

• Typically 40 hours per week, with flexibility expected given the remote and fast-paced nature of the role.

📝 Enhancement Note: The salary ranges provided are in line with senior-level design roles within major tech companies, particularly those with a focus on AI. The distinction for select metro areas reflects the higher cost of living and market demand in those regions. The inclusion of comprehensive benefits underscores Salesforce's commitment to employee well-being and long-term financial security.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing, Customer Relationship Management (CRM), Artificial Intelligence (AI), Software as a Service (SaaS).

Company Size: Large enterprise (over 10,000 employees).

Founded: 1999.

Company Description: Salesforce is a leading AI CRM company that empowers customers to drive success through AI, cloud computing, and customer relationship management. They are committed to innovation, trust, and making a positive impact on business and the world. The "Agentforce" initiative signifies a strategic push into AI-powered agents for customer success.

Team Structure:

• Design at Qualified: Described as "small and intentional," indicating a lean, agile team structure with direct access to product and fast feedback loops.

• No Dedicated Design Systems/Research Ops: Implies a flat structure where designers are responsible for a broader scope of work, from research to implementation.

• Direct Engineering/ML Collaboration: Designers work directly with technical teams, eliminating traditional handoff processes and fostering a collaborative, integrated approach.

• Reporting: While not explicitly stated, a Principal level role typically reports to a Design Lead, Director, or VP of Design, with a dotted line to product and engineering leadership.

Methodology:

• Taste over Process: Design decisions are driven by strong aesthetic judgment and an understanding of user needs, rather than strict adherence to predefined processes.

• Prototypes over Presentations: Emphasis on creating functional prototypes to demonstrate concepts and gather feedback, prioritizing tangible output over lengthy slide decks.

• Speed and Judgment: The team values rapid iteration and thoughtful decision-making, recognizing speed as a quality and craftsmanship as the core skill.

• Creative Direction for AI: Designers are encouraged to think of themselves as creative directors of AI collaborators, shaping the AI's capabilities and user interactions.

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

📝 Enhancement Note: The company culture, particularly within the "Qualified" (likely referring to the acquired entity or specific product team), is characterized by autonomy, direct impact, and a focus on cutting-edge AI technology. This differs from larger, more structured corporate environments, offering a unique opportunity for experienced designers to shape product direction and establish new design paradigms.

📈 Career & Growth Analysis

Operations Career Level: Principal Product Designer. This level signifies a senior individual contributor with significant expertise, capable of leading complex design initiatives, mentoring junior designers, and influencing product strategy. It implies a high degree of autonomy and responsibility for defining the user experience of critical product areas.

Reporting Structure: The Principal Product Designer will likely report to a Design Manager or Director within the User Experience organization. They will work in close partnership with Product Management and Engineering leads for the PMTS (likely Product Management Technology Services or a similar internal designation) product area.

Operations Impact: The role has a direct and significant impact on the success of Salesforce's "Agentforce" strategy and the "Piper" AI SDR product. By defining how users interact with and control autonomous AI agents, this designer will shape the future of AI in enterprise sales, influencing customer adoption, user satisfaction, and ultimately, revenue generation. The work involves establishing foundational design patterns for a new category of AI products.

Growth Opportunities:

• Leadership in Emerging AI Design: Opportunity to become a recognized expert in designing for autonomous AI agents and conversational experiences at scale.

• Product Strategy Influence: Direct involvement in shaping the product roadmap and strategic direction of a key AI initiative within Salesforce.

• Mentorship and Team Development: Potential to mentor junior designers and contribute to the growth of the design team's capabilities in AI design.

• Industry Recognition: The chance to define new design patterns and best practices that could influence the broader AI product design community.

• Career Progression: Potential pathways to Senior Principal Designer, Design Lead, or management roles within Salesforce's User Experience organization.

📝 Enhancement Note: This Principal-level role offers a unique opportunity for career advancement by placing the candidate at the forefront of AI product development. The emphasis on autonomy and direct impact suggests a fast-track for individuals who can demonstrate strong leadership and innovative design thinking.

🌐 Work Environment

Office Type: This is a fully remote position, allowing for flexible work arrangements from approved locations in Indiana or California, United States.

Office Location(s): While the role is remote, Salesforce maintains a significant presence in California and has operations in Indiana. Approved remote work locations are within these states.

Workspace Context:

• Remote Collaboration: The work environment will be primarily digital, relying on robust collaboration tools and communication platforms to connect with team members across different locations.

• Agile and Iterative: The design process is expected to be fast-paced and iterative, with a focus on rapid prototyping and continuous feedback loops.

• AI-Centric Tools: Designers will work with a suite of AI tools and potentially coding environments to create and test designs.

• Cross-Functional Interaction: Frequent interaction with Product Managers, Engineers, and Machine Learning specialists is a core aspect of the daily work.

Work Schedule:

• Standard 40-hour work week is typical, but flexibility is inherent in a remote role. Collaboration across time zones may require some adjusted working hours. The role requires a commitment to meeting project deadlines and participating in team syncs.

📝 Enhancement Note: The fully remote nature of the role, combined with Salesforce's emphasis on a lean and dynamic "Design at Qualified" team, suggests an environment that values self-starters and individuals comfortable with asynchronous communication and independent work. The focus on AI means the workspace will be heavily integrated with cutting-edge technology and tools.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review applications and align them with the role requirements.

• Portfolio Review: Candidates will be asked to present their portfolio, focusing on relevant AI design, conversational experience, and prototyping examples. This is a critical stage where design judgment and technical skills are assessed.

• Hiring Manager/Team Interviews: Expect interviews with the hiring manager, potential peers, and cross-functional collaborators (Product Management, Engineering, ML). These will assess design thinking, problem-solving abilities, collaboration style, and cultural fit.

• Design Challenge (Potential): A practical design exercise or case study may be assigned to evaluate your approach to a specific design problem, particularly related to AI interaction or conversational interfaces.

• Final Round: May involve a broader panel interview or discussions with senior leadership to confirm fit and strategic alignment.

Portfolio Review Tips:

• Curate for AI and Conversational Design: Prioritize projects that directly showcase your experience with AI, LLMs, conversational interfaces, and complex interaction patterns.

• Highlight "Taste over Process": Emphasize your design rationale, aesthetic judgment, and how you made critical decisions, rather than just listing steps taken.

• Showcase Technical Prototyping: Include examples of prototypes built with code or AI tools, demonstrating your ability to go beyond static mockups. Explain the tools used and the outcomes.

• Tell a Story of Problem-Solving: For each case study, articulate the problem, your approach, the challenges faced (especially technical or AI-related), your solutions, and the impact.

• Demonstrate Collaboration: Explain how you worked with engineering and ML teams, highlighting how you translated complex technical constraints into user-friendly designs.

Challenge Preparation:

• Understand Autonomous Agents: Familiarize yourself with the concepts of autonomous agents, their capabilities, and potential user interaction challenges.

• Think "AI Brain" and "Conversational Presence": Prepare to discuss how you would design interfaces for shaping AI personality, explaining AI reasoning, and creating a credible live conversational experience.

• Consider AI Limitations: Be ready to discuss how you would design for AI failure modes, latency, and confidence levels in an honest and transparent manner.

• Practice Articulating Design Decisions: Be prepared to clearly and concisely explain the rationale behind your design choices, especially in the context of AI and enterprise sales.

📝 Enhancement Note: The interview process heavily emphasizes practical design skills, particularly in AI and advanced prototyping. Candidates should be prepared to demonstrate their ability to think critically about AI interactions and translate those concepts into functional, user-centric designs. The portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping: Figma (standard for UI design), and critically, coding languages (e.g., JavaScript, Swift, etc.) or AI-specific prototyping tools for creating functional, interactive prototypes.

• Design & Collaboration: Sketch, Adobe Creative Suite (Illustrator, Photoshop), Miro, Mural for collaborative whiteboarding and ideation.

• Version Control (for code-based prototypes): Git, GitHub/GitLab.

Analytics & Reporting:

• Data Analysis: Tools like Tableau, Looker, or internal Salesforce analytics platforms to understand user behavior and product performance.

• User Feedback Platforms: Tools for collecting and analyzing user feedback, potentially integrated with the CRM.

CRM & Automation:

• CRM: Deep familiarity with Salesforce CRM is a significant advantage, given the product's context. Understanding of its data structure, workflows, and user roles is key.

• Automation Tools: Understanding of workflow automation principles and potentially tools used for AI model deployment and management.

• Integration Platforms: Awareness of how different systems (CRM, AI models, communication channels) integrate is beneficial.

📝 Enhancement Note: The emphasis on coding and AI tools for prototyping is a strong signal that Salesforce is looking for designers who are deeply integrated with the technical development process. Proficiency in the Salesforce CRM ecosystem will be a major asset for understanding the user context.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to push boundaries, especially in AI and cloud technologies, and to create novel solutions.

• Trust: Upholding Salesforce's core value of trust in all product development and customer interactions, particularly crucial when dealing with AI.

• Customer Success: A relentless focus on enabling customers to achieve their goals, amplified by AI-driven tools.

• Inclusivity: Commitment to equality, diversity, and creating an inclusive environment for all employees and customers.

• Efficiency & Speed: Valuing rapid iteration, effective problem-solving, and delivering impactful solutions quickly.

Collaboration Style:

• Direct Partnership: Close, integrated collaboration between Design, Product Management, and Engineering/ML teams. Little to no "handoff" culture.

• Open Communication: Encouraging transparent and frequent communication to ensure alignment and address challenges proactively.

• Iterative Feedback Loops: Embracing continuous feedback from peers, stakeholders, and users to refine designs.

• Shared Ownership: Teams work collectively towards product goals, with designers acting as creative directors and technical collaborators.

📝 Enhancement Note: The "Design at Qualified" culture emphasizes agility, direct impact, and a strong partnership with technical teams. This environment is ideal for designers who thrive on ambiguity, enjoy defining problems, and are comfortable working closely with engineers and data scientists.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining New Design Paradigms: Establishing best practices and design patterns for autonomous AI agents in enterprise sales, a field that is still nascent.

• Balancing AI Capabilities with User Control: Designing interfaces that empower users to effectively shape, understand, and trust AI agents without overwhelming them.

• Communicating Complex AI Behavior: Translating LLM nuances, latency, and failure modes into an intuitive and honest user experience.

• Integrating with Enterprise Workflows: Ensuring AI agent interactions seamlessly fit within existing enterprise sales processes and CRM systems.

• Fast-Paced Environment: Adapting to rapid iterations, quick feedback cycles, and evolving AI technologies.

Learning & Development Opportunities:

• AI Design Specialization: Deepen expertise in designing for cutting-edge AI technologies, LLMs, and conversational agents.

• Product Strategy Leadership: Gain experience in shaping product direction and influencing strategic initiatives within a leading tech company.

• Cross-Functional Skill Development: Enhance collaboration and communication skills by working closely with engineering, ML, and product management.

• Industry Exposure: Contribute to defining the future of AI in enterprise sales, potentially leading to industry recognition and speaking opportunities.

• Access to Salesforce Resources: Leverage internal training, conferences, and mentorship programs to further professional development.

📝 Enhancement Note: This role presents a significant opportunity to be at the forefront of AI design. The challenges are substantial, but they are directly tied to growth opportunities in a rapidly evolving and highly sought-after field.

💡 Interview Preparation

Strategy Questions:

• AI Product Vision: "How would you approach designing an interface to help an AI SDR (like Piper) explain its reasoning to a human sales manager?" or "Describe your process for designing the 'personality' and 'objection handling' for an autonomous AI agent."

• User Interaction with AI: "Imagine a scenario where Piper misunderstands a prospect. How would you design the interface to acknowledge this failure mode and allow the user to correct or guide the AI?"

• Prototyping for AI: "Walk us through a time you used code or AI tools to prototype a complex interaction. What were the challenges and outcomes?"

• Defining Ambiguity: "Describe a situation where you were given a vague problem statement. How did you define the problem, and what was your design process from there?"

Company & Culture Questions:

• Salesforce's AI Strategy: "Based on your research, what do you see as Salesforce's biggest opportunities and challenges in the AI space, particularly with Agentforce?"

• Design Philosophy: "The job description mentions 'taste over process.' How does your design philosophy align with this, and how do you balance creativity with practical execution in a large organization?"

• Collaboration Style: "How do you typically collaborate with engineers and ML specialists? Provide an example of how you've successfully influenced technical decisions through design."

Portfolio Presentation Strategy:

• Focus on Impact: For each case study, clearly articulate the problem, your role, the design solution, and the measurable impact (user adoption, efficiency gains, user satisfaction).

• Show, Don't Just Tell: Use prototypes, user flows, and visual examples to illustrate your design thinking and execution.

• Highlight AI-Specific Challenges: Be prepared to discuss the unique challenges you faced when designing for AI and how you overcame them.

• Explain Your Tools & Process: Clearly articulate which tools you used (especially code/AI tools) and why, and how your process adapted to the specific needs of AI product development.

• Connect to Salesforce: Whenever possible, draw parallels between your past work and the challenges/opportunities at Salesforce, demonstrating your understanding of their business and product goals.

📝 Enhancement Note: Interviews will likely be highly practical and design-centric. Candidates should be ready to dive deep into their portfolio, discuss their design rationale with confidence, and articulate how they would tackle the specific challenges of designing for autonomous AI agents in an enterprise sales context.

📌 Application Steps

To apply for this Principal Product Designer position:

• Submit your application: Utilize the provided link to the Salesforce careers portal.

• Tailor your Resume: Emphasize your experience with AI design, conversational UX, advanced prototyping (including code/AI tools), and cross-functional collaboration. Quantify achievements where possible.

• Curate your Portfolio: Select and refine 3-5 of your strongest, most relevant projects. Prioritize those demonstrating AI interaction design, problem definition, and technical prototyping. Ensure each case study clearly outlines the problem, your process, solutions, and impact.

• Prepare Your Presentation: Practice walking through your portfolio, focusing on your design rationale, problem-solving approach, and how you've handled the unique challenges of AI product development. Be ready to discuss your "taste" and judgment.

• Research Salesforce & Agentforce: Understand Salesforce's AI strategy, the "Agentforce" initiative, and the specific goals of the "Piper" AI SDR product. This will help tailor your responses and demonstrate genuine interest.

⚠️ 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.