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Technical Support Engineer

windfalldata

Entry level On-site
Location
Salt Lake City
Posted
2026-10-15
Source
lever
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Job description

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
  • Own the support queue: triage, troubleshoot, and resolve inbound tickets in Pylon, and escalate crisply to Product or Engineering when needed
  • Support new customer and user onboarding, and get them to first value fast
  • Monitor data delivery queues and account and dataset health, and catch issues before customers do
  • Support wealth analytics reports and match analysis workflows
  • Find the root cause of recurring issues and fix it with an operational improvement (e.g., a playbook, a knowledge base article, product feedback, or AI automation)
  • Build and improve AI workflows that deflect and auto-resolve common questions
  • When a playbook doesn’t exist yet, build it, and document your work so every handoff is clean
  • Keep accurate records in Pylon, Salesforce, and our internal knowledge base
  • Turn customer feedback and bug patterns into clear input for the product roadmap
  • What Success Looks Like In Your First 90 Days
  • You run the queue on your own with fast, reliable response times
  • Each of the top recurring ticket types has a playbook, a help article, or an AI answer
  • Product and Engineering see you as their clearest source of customer signal
  • About You
  • Operational mindset: when you see a repeated task, you want to fix it, template it, or automate it
  • AI-curious: you already use tools like Claude or ChatGPT to work faster, and you want to build with them
  • Detective instinct: you dig until you find the why, not just the what
  • Adaptable communicator: you can switch easily between a frustrated customer, a busy engineer, and an executive
  • Natural documenter: you write things down so others don’t have to ask (bonus points if you’re a Checklist Manifesto fan)
  • Calm prioritizer: you separate the urgent from the noise, and you know when to solve something yourself and when to ask for help
  • Requirements
  • Must be able to work in office 4-5 days per week. (We are an in-office culture with flexibility for one day per week work from home for employees in good standing, after an initial probationary period)
  • 2+ years of professional experience, with 1+ years in technical support, RevOps or sales ops, data or marketing analysis, or another CRM-adjacent role, ideally in B2B SaaS
  • Comfortable with CSVs, spreadsheets, and CRM data models (objects, records, fields)
  • Experience with Salesforce, HubSpot, or a similar CRM
  • Experience with a ticketing or support platform (Pylon, Zendesk, Intercom, or similar)
  • Strong written and verbal communication
  • Bachelor’s degree or equivalent experience
  • Nice To Have
  • Experience building AI workflows, automations (for example, Zapier), or bots
  • Knowledge base or technical writing experience
  • Light scripting or advanced spreadsheet formula skills
  • Exposure to data matching, data enrichment, or nonprofit or financial services data
  • 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

     

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    Listing collected from the employer’s public career site on 2026-10-23. Postings close without notice — the application page is authoritative.