Beyond the qualifications, we hire through a specific lens. These aren’t buzzwords; they’re the things we’ll actually look for in how you talk about your work.
You’re a builder, not a maintainer.
You’re most energized when there isn’t a clear path yet, and you get to define it. You don’t wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Technical Support Engineers don’t just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.
You’re AI-curious - genuinely.
You’re not using AI tools occasionally. You’re rewiring how you work around them. You’re faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.
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3+ years of experience in a technical, customer-facing support or engineering role where you debugged real issues and owned outcomes rather than routing tickets.
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Working proficiency in JavaScript, HTML, and CSS, with the ability to read code, trace errors, and use browser developer tools to isolate problems.
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Applied coding knowledge across front-end or API environments, including experience writing or modifying code in a professional setting.
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Demonstrated ability to learn technical concepts quickly and explain them clearly to both technical and non-technical audiences.
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Comfort troubleshooting customer issues on both iOS and Android, including a basic understanding of how mobile apps are built, released, and updated through the Apple App Store and Google Play.
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Ability to gather and interpret useful technical details from customers, including device type, OS version, app version, screenshots, screen recordings, and logs.
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Familiarity with common mobile concepts such as app permissions, deep links, webviews, crashes, and SDK behavior, including the ability to interpret basic mobile debugging output, error messages, and SDK implementation details.
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Active use of AI tools in daily work for research, drafting, troubleshooting, or knowledge capture, with a focus on using AI to move faster and work sharper.
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Comfort operating in a high-volume, unpredictable environment where priorities shift based on customer impact and you are expected to manage your own queue.
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Evidence of peer development, such as helping a less experienced colleague through a hard problem, proactively documenting knowledge, or taking informal ownership of a technical area.
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Evidence of continuous technical learning, whether formal or self-directed, with examples of what you have built, broken, or figured out.