You bring a codebreaker’s eye for patterns to customer data. When a file comes back different than you expected, you want to know why, and once you’ve cracked it, you want to build the fix so nobody has to solve it manually again. As a Product Delivery Expert at Windfall, you’re technical enough to spot a bad field mapping in a matched file and write the SQL that catches it next time, but also clear enough to explain what happened to a customer who has never written a query. You make sure every data file, model score, and integration lands on time and right the first time. You’ll work our delivery queues every day and check every output against the source before it reaches a customer, including the work our AI does. When setup or delivery needs attention, you’ll get on the call with the customer, partnering with our Customer Solutions Engineers. We’re on a mission to change how organizations perceive and use people data. And we hold 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.
Own end-to-end product delivery for customers, verifying every delivery of data back to the customer
Monitor and act on customer delivery queues daily, resolving manual-processing alerts and handling exceptions
Proactively monitor recurring feeds and integrations to catch issues before customers notice them
Partner with Customer Solutions Engineers (CSEs) on data readiness, dashboard setup, and delivery investigations
Join customer calls for onboarding, file issues, data setup, transfers, and ongoing workflows, including pooled coverage for accounts without a dedicated CSE
Own the human-in-the-loop steps that are part of the product experience and execute them accurately every time, including checking AI output against source data before it reaches a customer
Triage and escalate delivery issues to Engineering with clear reproduction steps and impact, and close the loop with customers once resolved
Identify repeat manual work, document the pattern, propose automation, and validate the fix with Product and Engineering
Build and maintain delivery runbooks, QA checks, and customer guidance on file processing and integration changes
Share delivery insights and patterns with CS and Product to improve cross-functional
Drive faster time to value by helping new customers reach first value within their first 90 days and minimizing delivery delays, rework, and repeat exceptions, contributing to early CSAT, customer health, and retention
A place where your voice is heard and your feedback matters. This is a founder-led company where hard work and strong contributions make a huge difference.
We’ve been around long enough to know how to solve problems in the industries we serve, but we also operate like a startup in our speed and agility
Hard work, strong communication, and kindness go a long way here. You have the potential to make a tremendous impact on our company and your future
You thrive in the challenges of startups, motivated by the opportunity for rapid learning and growth rather than a traditional 9-to-5 routine
You’re a proactive problem-solver with a focus on delivering value to customers
You have exemplary organizational skills and meticulous attention to detail, coupled with a commitment to task completion and thoroughness
You have outstanding verbal and written communication skills. You’re capable of simplifying complex issues and adjusting communication styles for diverse audiences
You’re highly analytical and adept at problem-solving
You have a team-oriented attitude, even in remote work settings. You contribute, share expertise, take accountability, and foster empathy in relationships
You have an automation instinct: you notice when the same issue keeps coming back, then propose the fix and validate it
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)
Bachelor’s degree or equivalent experience
2+ years of experience in product operations, data operations, implementation, or a similar technical, customer-facing role
Strong data fluency, including file structures, field mapping, record matching, and data quality
Daily use of AI tools in hands-on data work, such as writing SQL or cleaning and mapping files
A structured approach to troubleshooting: you form hypotheses, test them, and document what you find rather than trying random fixes
Exceptional attention to detail and a process-minded approach to recurring work
A track record of spotting patterns in manual work and turning them into repeatable workflows or systems, including AI automations
Comfort joining customer calls and explaining technical issues clearly to both technical and non-technical audiences
Ability to manage a daily queue of time-sensitive work while keeping quality high
Clear written communication, especially for runbooks, process documentation, and customer guidance
Prior startup experience, particularly in B2B SaaS or data companies
Working knowledge of SQL
Experience with data onboarding or identity resolution platforms
Familiarity with file transfer methods and integrations
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.

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