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Staff Product Designer

Pendo - Raleigh, NC

Posted Jun 9, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$150K-$165K not verified - timestamp not recorded
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$66,396 U.S. median for this role
Projected growth (BLS Employment Projections)
+3.5% - Average

137% above the BLS role benchmark for design aggregate.

Matched to SOC 27-1024 - Design aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Product Designer Raleigh, NC The Team + The Role The Product Design team at Pendo works closely with senior product leaders and sits at the center of product strategy and delivery. The team operates close to both the problem and the build, using LLM-assisted exploration, code-level prototyping, and customer validation before work moves into Figma for systems and polish. Designers ship across a multi-app platform with a high bar for craft, reliability, and product impact. As a Staff Product Designer, you will lead design across the platform and move toward the highest-impact work. You will own projects end-to-end, from problem framing through shipping, partnering with product and engineering to make sophisticated experiences feel simple. AI-assisted workflows are part of how this team works every day, and this role is expected to use, improve, and share those workflows. This role is based in our Raleigh office. What this looks like day-to-day - Platform design leadership: Lead design across multiple product areas and own projects from problem framing through shipping. Partner with product and engineering to reduce complexity without losing capability, starting from customer need rather than feature requests. - Prototyping and validation: Build interactive prototypes using code-adjacent tools and validate them with real users before engineering investment. Use findings to sharpen flows, surface edge cases, and improve the work before full systemization. - AI-integrated workflow: Use AI tools actively across the design process, including LLMs for problem framing and brief development, Cursor and Claude for prototyping, and generative tools for

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