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# Product Owner

- **Company:** Credibly
- **Location:** Southfield, MI, United States
- **Experience:** Experienced
- **Salary:** $100,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Data Analysis, Confluence, JIRA, Automation of Tests, Data Validation, Data Mapping, JSON, Python (Programming Language), Machine Learning, Scrum Methodology, SQL Databases, Postman, Large Language Models, Webhooks, Api Management
- **Published:** October 11, 2026
- **Apply:** https://www.thejobnetwork.com/job/81203513-e117-4651-9226-6c05a7d8e0c3/product-owner

## About the Role

* 2+ years as a Product Owner, Business Analyst, or technical product role on an agile software team
 * Experience using AI tools in your day-to-day work, such as drafting user stories, summarizing feedback, or analyzing data, and good judgment about when to double-check the results
 * Excellent story-writing skills; your acceptance criteria are specific enough to test against
 * Proficiency in SQL for investigating issues and validating data
 * Hands-on experience testing APIs (e.g., Postman) and working with JSON payloads, webhooks, and field-level data mapping
 * Practical experience with LLM tools, including iterating on prompts and testing outputs in a structured, repeatable way
 * Experience writing and executing test cases and running UAT
 * Strong command of Jira/Confluence or similar tools
 * Excellent story-writing skills; your acceptance criteria are specific enough to test against
 * Meticulous attention to detail and clear written communication
 * Bachelor's degree or equivalent practical experience

What Makes You Special:

 * Experience in small business lending, MCA, credit underwriting, KYB/KYC, or fraud operations
 * Experience with third-party integrations common in lending, such as bank-data providers like Plaid, credit reporting agencies, and KYC/KYB verification vendors
 * Experience with BI tools such as Metabase
 * Experience working with data science teams on products that use machine learning models, such as writing requirements, testing model changes, or tracking model performance after release
 * Using genAI to perform basic Python or scripting ability for data checks and test automation

## Description

* Own the product feedback loop. Connect Operations, Engineering, and Data Science: bring what underwriters and sales see in production (overrides, exceptions, defects) to the teams who can fix it, make sure model and rules changes are understood and adopted by Operations, and report back on the impact.
 * Run the agile rhythm. Lead backlog refinement, sprint planning, and sprint reviews, and keep work visible and moving in Jira.
 * Translate policy into logic. Work with Underwriting to turn procedures and policy into decision tables, rule logic, and data requirements engineering can implement without guesswork.
 * Spec integrations end to end. Define API contracts, field mappings, error handling, retries, and fallback behavior for data vendors and funding partners; test in vendor sandboxes; and own data mapping for partner data tapes and reporting.
 * Test model and prompt changes. Maintain evaluation datasets, run evaluations against the current baseline, document the results, and sign off (or send back) before anything reaches production.
 * Own acceptance and UAT. Write and execute test cases, coordinate user acceptance testing with business users, and maintain regression coverage.
 * Watch production closely. Monitor dashboards and alerts for model accuracy, integration error rates, vendor outages, and latency; triage defects; investigate with SQL; and write bug tickets that engineers can act on immediately.
 * Keep documentation current. Maintain the rules catalog, model and prompt change logs, integration docs, release notes, FAQs, and training materials, and lead training sessions with
 * Own the backlog. Write and prioritize epics and user stories with precise acceptance criteria for model, prompt, rules, and API work, and serve as engineering's go-to decision maker during the sprint.business users.