Product Owner – Data/API

Remote, USA
Posted Jun 13, 2026
Full-time

About the role:
We are seeking a Product Owner to support execution of our data platform and API-driven products. This role partners closely with Product Managers, engineering, and data teams to translate product strategy into well-defined, executable work, ensuring scalable, reliable, and high-quality delivery in a regulated environment. 
This role is critical to ensuring data and API products are clearly defined, properly scoped, and effectively delivered. You will operate at the intersection of product and engineering, owning backlog quality, refining requirements, and driving day-to-day execution across data pipelines and API capabilities. 
Responsibilities include:
Partner with Product Managers to translate product strategy, roadmap, and priorities into detailed, actionable work  
Own and manage the product backlog for data platform and API capabilities, including grooming, prioritization, and refinement  
Write clear, detailed user stories and independently author acceptance criteria that enable engineering and QA to execute without ambiguity  
Define and document API behaviors, data structures, and integration requirements in collaboration with engineering and data teams  
Ensure clarity and completeness of requirements for data pipelines, APIs, and integrations, including edge cases and failure scenarios  
Partner closely with engineering to answer questions, resolve ambiguity, and unblock execution throughout the development lifecycle  
Actively participate in Scrum ceremonies, including sprint planning, standups, reviews, and retrospectives, maintaining a high-velocity delivery cadence  
Manage, maintain, and protect scope of product work to ensure timely and effective delivery  
Regularly communicate status, risks, and blockers to Product Managers and stakeholders  
Pair with Product and Delivery leadership to anticipate tradeoffs, sequencing decisions, and scope adjustments  
Develop deep subject matter expertise in assigned data and API domains, serving as a go-to resource for internal teams  
Support validation of delivered functionality, ensuring it meets defined acceptance criteria and quality expectations  
Incorporate regulatory, data governance, and security requirements into product definitions and execution  
Leverage AI tools to accelerate documentation, analysis, and workflow efficiency 
Required Qualifications:
5+ years of experience in Product Owner, Business Analyst, or similar role supporting technical product environment 
Experience supporting delivery of data products, APIs, or platform capabilities (not limited to UI-driven SaaS features)  
Strong understanding of software development lifecycle and Agile methodologies, including backlog management and sprint execution  
Proven ability to independently write detailed user stories and acceptance criteria with high precision and clarity  
Working understanding of APIs, data structures, and system integrations (e.g., REST APIs, data pipelines)  
Ability to collaborate closely with engineering and data teams on technical requirements and execution details  
Strong attention to detail and ability to manage complex requirements across multiple workstreams  
Experience working in regulated or risk-sensitive domains, preferably within fintech, fraud, or disputes  
Demonstrated ability to operate effectively in a fast-paced, high-ownership environment  
Strong communication skills, with the ability to clearly convey requirements, status, and risks to both technical and non-technical stakeholders  
Experience using data to support validation, troubleshooting, and decision-making  
Experience using AI tools to improve productivity, documentation quality, and workflow efficiency  
Preferred Qualifications:
Experience with fraud and dispute management systems, including chargebacks and card network processes  
Familiarity with data modeling concepts, API documentation standards, or integration workflows  
Experience working with cross-functional stakeholders including Product, Engineering, Risk, and Operations

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