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 About Windfall Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com . We comply with CCPA. For more information on how we comply, review our privacy notice . Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.

Requirements

Must-haves

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
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
Calm prioritizer: you separate the urgent from the noise, and you know when to solve something yourself and when to ask for help
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)

Nice-to-haves

Natural documenter : you write things down so others don’t have to ask (bonus points if you’re a Checklist Manifesto fan)
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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlgomachine learning

Platform: lever
Effort: quick