Principal Product Designer at Salesforce reimagining AI features for Sales Cloud to enhance sales processes. Collaborate with product and engineering to set the vision and drive user-centered design.
Responsibilities
Set the Vision: Work closely with product owners and engineers to create a creative identity and long-term vision for Sales Cloud AI features.
Communicate Ideas: Use documentation, reviews, and presentations to communicate clear and compelling ideas to a wide range of key stakeholders.
Experimental Prototyping: Leverage AI-assisted tools to move quickly from concept to interactive demo, shortening the feedback loop between design and engineering.
Scale the System: Create designs that adhere to and extend the Lightning Design System (SLDS), ensuring a cohesive experience across the platform.
Mentor & Lead: Act as a high-level IC, mentoring junior designers and promoting new interface guidelines and design patterns.
Advocate for Accessibility: Create inclusive designs for all users, encouraging product and engineering management to prioritize accessible features and ethical AI.
Requirements
10+ years of experience designing and delivering products from start to finish
Deep understanding of user-centered design methods and best practices
Experimental Mindset (Plus): Experience or a strong interest in leveraging AI tools (like Cursor, Replit, or LLMs) to explore, prototype, or automate design workflows
Prototyping & Curiosity: A track record of going beyond static mocks to explore how emerging tech can solve user problems
Systems Thinking: Ability to step back and see a project’s larger ecosystem, with a focus on solutions that improve the entire user flow, not just a single feature
Strategic Influence: The ability to thrive in a fast-paced environment, persuade others, and build consensus on projects with varying degrees of ambiguity
Craft & Visual Excellence: Expert knowledge of current design tools such as Figma, along with an ability to quickly learn and adopt new tools as they emerge
Communication: Strong active listening skills with an ability to build close, trusting relationships across Engineering and Product Management
Ethics & Equality: An internal compass that points toward ethics, ensuring AI-driven experiences are designed with responsibility and inclusivity at the core.
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