These questions are based on real interview experiences from candidates who interviewed at this company. You can practice answering them interactively on Dataford to better prepare for your interview.

Your preparation should center on the end‑to‑end story: business outcomes, problem framing, design systems fluency, and the rigor of your decision‑making. Show how you navigate ambiguity, collaborate across functions, and validate solutions with metrics. Bring a portfolio that proves depth, not just polish.

• Role-related Knowledge (Technical/Domain Skills) – Interviewers look for mastery in enterprise UX patterns, SLDS, accessibility standards (WCAG 2.2+), information architecture, and design for data‑dense interfaces. Demonstrate you can translate CRM workflows and permissioned data into usable flows. Be ready to discuss Figma proficiency, handoff specs, and how you maintain consistency within design systems.

• Problem-Solving Ability (How you approach challenges) – We assess how you frame problems, identify constraints, and weigh trade‑offs under real platform limitations. Show your process from research insights to flows, states, and edge cases. Use metrics (e.g., time-to-task, adoption, support tickets) to prove your approach works.

• Leadership (How you influence and mobilize others) – Influence is critical in a matrixed environment. Demonstrate how you align PMs, engineers, and stakeholders, run effective critiques, and drive decisions. Outline moments you led through ambiguity, defended users with data, and unblocked teams.

• Culture Fit (How you work with teams and navigate ambiguity) – We value Trust, Customer Success, Innovation, Equality, and Sustainability. Share examples of inclusive collaboration, ethical AI considerations, accessibility advocacy, and how you embrace feedback loops and experimentation.

Salesforce’s UX/UI interview process blends portfolio storytelling, product thinking, and collaborative problem‑solving. You can expect a rigorous yet fair sequence that emphasizes real‑world challenges and cross‑functional alignment. The pace varies by team; some loops move quickly while others coordinate multiple groups and panelists to find the best fit.

Our philosophy is to understand your craft and your impact. Expect collaborative critiques, scenario discussions that mirror enterprise constraints, and targeted deep dives into systems thinking and accessibility. The process is designed to evaluate how you will operate day‑to‑day: partnering with PM and Engineering, reasoning under constraints, and advocating for users with evidence.

You may meet a diverse panel across design, PM, and engineering leadership. Communication between rounds can take time when multiple teams are involved. Use the recruiter as your central point of contact and clarify expectations for each round.

This visual lays out the typical sequence—from recruiter connect through portfolio review, panel loops, and hiring manager conversations—so you can plan preparation and pacing. Expect some variation by product area; enterprise and platform teams sometimes add a systems or accessibility deep dive. Confirm timelines and deliverables with your recruiter if the process extends or additional panels are added.

Product Thinking for Enterprise UX

Salesforce products are configurable, permissioned, and data‑dense. Interviewers test whether you can simplify complexity without losing power. You’ll need to connect user needs to business outcomes while accounting for admin vs. end‑user roles, security models, and performance.

• Be ready to go over:

  • User and admin mental models: How roles, profiles, and permissions shape flows and visibility.
  • Outcome definition and metrics: Adoption, time‑to‑value, reduction in support tickets, agent handle time.
  • AI‑assisted experiences: When to introduce automation, guardrails for transparency, and failure states.
  • Advanced concepts (less common): Multi‑object relationships, audit trails, data residency, and platform performance constraints.

• Example questions or scenarios:

  • "Redesign a workflow where sales managers need forecasting visibility while reps need quick updates. What trade‑offs do you make?"
  • "How would you measure success for a new case‑deflection experience in Service Cloud?"
  • "When is AI assistance appropriate in a complex form, and how do you maintain trust?"

Portfolio Execution and Design Craft

Expect to present 1–2 end‑to‑end case studies with measurable outcomes. Interviewers look for problem framing, exploration, iteration, and the rationale behind decisions. Visual polish matters, but decision quality and edge‑case coverage matter more.

• Be ready to go over:

  • Process depth: Research synthesis, flows, IA, states, and variant handling.
  • Systems alignment: How you leveraged or contributed to SLDS or another design system.
  • Accessibility and inclusivity: WCAG compliance, keyboard navigation, color contrast, localization.
  • Advanced concepts (less common): Data visualization literacy (Tableau), responsive data tables, bulk actions.

• Example questions or scenarios:

  • "Walk us through the riskiest assumption in this project and how you de‑risked it."
  • "Show an example where accessibility changed your design and outcome."
  • "How did you partner with engineering to ensure performance on data‑heavy screens?"

Interaction Design, Information Architecture, and Design Systems

You’ll be assessed on how you structure information and create scalable patterns. Salesforce values systematic thinking that prevents one‑off solutions and reduces maintenance costs.

• Be ready to go over:

  • IA choices: Navigation structures for complex objects, discoverability, and progressive disclosure.
  • Patterns and variants: States, error handling, empty states, bulk editing, table behaviors.
  • SLDS fluency: Applying tokens, components, and accessibility patterns consistently.
  • Advanced concepts (less common): Component APIs for low‑code builders, LWC constraints, theming.

• Example questions or scenarios:

  • "Design bulk actions for a large, filterable data table; optimize for speed and error prevention."
  • "How do you standardize inline edit interactions across objects without harming clarity?"
  • "When do you introduce a new component versus extend an existing pattern?"

Research, Validation, and Metrics

Evaluation centers on evidence: how you choose methods, synthesize insights, and validate outcomes. Your interviewers will probe how you instrument designs and iterate based on data.

• Be ready to go over:

  • Generative vs. evaluative: When to use which, and how you make research efficient.
  • Mixed methods: Triangulating qual insights with analytics, telemetry, and A/B tests.
  • Decision logs: How you capture rationale and communicate change over time.
  • Advanced concepts (less common): Research ops, experiment design in enterprise contexts.

• Example questions or scenarios:

  • "Describe a time data contradicted stakeholder beliefs. How did you navigate it?"
  • "What KPIs did you move and how did you attribute impact to design?"
  • "How do you validate IA changes without full builds?"

Collaboration, Influence, and Delivery

You will work in a highly cross‑functional environment. Interviewers assess how you align teams, run critiques, manage feedback, and ship predictable quality.

• Be ready to go over:

  • Partnering with PM and Eng: Requirements shaping, technical constraints, and sprint planning.
  • Design reviews: Structuring feedback, conflict resolution, and decision frameworks.
  • Handoff and quality: Specs, tokens, redlines, and production checks.
  • Advanced concepts (less common): Leading multi‑team initiatives, design advocacy at org scale.

• Example questions or scenarios:

  • "Tell us about a contentious decision and how you built alignment."
  • "How do you ensure parity between design specs and implemented code?"
  • "Describe your approach to critiques when time is limited."

This visualization highlights recurring focus areas across recent interviews: portfolio storytelling, design systems/SLDS, accessibility, enterprise workflows, research validation, and cross‑functional collaboration. Use it to calibrate your preparation—double down on the most prominent themes and ensure your case studies speak directly to them.