- Windfalldata
- Salt Lake City, UT
- Full-Time
- 13 days ago
Technical Support Engineer.
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Technical Support Engineer: our view in 3 lines...
- The Role:This role is for an early-career technical support professional helping customers with onboarding, account setup, data issues and support requests at an AI company.
- The Person:The person will own the support queue, onboard customers, monitor account and dataset health, resolve technical issues, improve playbooks and knowledge base articles, and build AI workflows to deflect common questions.
- Requirements:The ideal candidate has 2+ years of professional experience, 1+ years in technical support, RevOps or sales ops, data or marketing analysis, CRM-adjacent work, Salesforce or HubSpot, and a ticketing or support platform.
About the role
As a Technical Support Engineer at Windfall, you’ll own the customer support queue and the systems behind it. You’ll onboard new customers, configure accounts, map high-priority datasets, and resolve technical issues. Then you’ll ask the next question: why did this ticket happen, and how do we stop it from happening again? Sometimes the answer is a better help article. Sometimes it’s a product fix. More and more, it’s an AI workflow that answers the question before the customer has to ask.
This role is a great fit if you’re early in your career, operations-minded, and curious about AI. It isn’t SQL-heavy or a deep engineering role. We want a resourceful problem-solver who likes data, sweats the details, and would rather fix a problem once than answer it a hundred times.
We're on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.
As a Technical Support Engineer at Windfall, you’ll own the customer support queue and the systems behind it. You’ll onboard new customers, configure accounts, map high-priority datasets, and resolve technical issues. Then you’ll ask the next question: why did this ticket happen, and how do we stop it from happening again? Sometimes the answer is a better help article. Sometimes it’s a product fix. More and more, it’s an AI workflow that answers the question before the customer has to ask.
This role is a great fit if you’re early in your career, operations-minded, and curious about AI. It isn’t SQL-heavy or a deep engineering role. We want a resourceful problem-solver who likes data, sweats the details, and would rather fix a problem once than answer it a hundred times.
We're on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.
What You'll Do
What Success Looks Like In Your First 90 Days
About You
Requirements
Nice To Have
Additional Information:
Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site

