Product Owner, Data Platform and Data Products (AWS)

Location: Remote, United States

Company

hirify.global develops Hapi, a SaaS data platform and data products for the hospitality and travel industry.

What you will do

• Own and prioritize the data platform backlog, aligning technical work with business objectives.
• Define epics, features, user stories, acceptance criteria, data contracts, and technical specifications with Data Engineers.
• Lead sprint planning, backlog refinement, retrospectives, request triage, and risk escalation.
• Drive requirements for AWS-native ingestion pipelines, ETL/ELT workflows, data lakes, cataloging, governance, monitoring, and SLAs.
• Specify datasets, APIs, and dashboard-ready outputs, then monitor data product adoption, quality, performance, latency, reliability, and scalability.
• Coordinate with Engineering, Product Management, Data Analysts, Solutions Architecture, Implementation, and Support teams.

Requirements

• 2–4 years of experience as a Product Owner or Product Manager owning data engineering, data platform, or data infrastructure products.
• Hands-on Agile/Scrum experience, including ticket writing, sprint ceremonies, and live backlog management.
• Working knowledge of cloud-native data architectures, data lakes, lakehouses, and ETL/ELT pipeline patterns.
• Practical experience with AWS data services such as S3, Glue, Athena, Airflow, DynamoDB, and Aurora.
• Ability to evaluate pipeline logic, data models, and schema definitions, and experience defining data contracts, data quality requirements, or pipeline SLAs.
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field, or equivalent practical experience.

Nice to have

• AWS Cloud Practitioner certification.
• Experience with data catalog or governance tools and familiarity with REST or GraphQL data API design.
• Hospitality industry experience, knowledge of HTNG, or experience integrating with Property Management Systems.
• Experience with multi-tenant SaaS platform design, growth-stage companies, or modular product architectures.

Culture & Benefits

• Remote, full-time work within the United States.
• Hands-on collaboration with Data Engineering and cross-functional teams.
• Technical environment focused on AWS-native infrastructure and high-volume SaaS data products.