The FreedomPay Commerce Platform is the technology of choice for many of the largest companies across the globe in retail, hospitality, lodging, gaming, sports and entertainment, foodservice, education, healthcare and financial services. FreedomPay’s technology has been purposely built to deliver rock solid performance in the highly complex environment of global commerce. The company maintains a world-class security environment and was first to earn the coveted validation by the PCI Security Standards Council against Point-to-Point Encryption with EMV standard in North America. FreedomPay’s robust solutions across payments, security, identity and data analytics are available in-store, online and on-mobile and are supported by rapid API adoption. The award winning FreedomPay Commerce Platform operates on a single, unified technology stack across multiple continents allowing enterprises to deliver a consistent, repeatable experience on a global scale. FreedomPay is a fast paced, high growth company with a great culture with competitive benefits and compensation with a business casual atmosphere.
The Technical Product Manager (TPM) is a deeply technical role focused on defining the right problems, shaping high-quality product requirements, and partnering with engineering to deliver customer-impacting solutions.
This role operates within an AI-enabled product model, where initial requirements and workflows may be generated by AI. The TPM is responsible for validating, refining, and ensuring those outputs are accurate, complete, and aligned with both technical and business realities.
You will own products within FreedomPay’s data and AI portfolio, including business intelligence, embedded reporting, and AI-powered features built on top of our commerce data platform. This role requires strong product judgment, technical depth, and a clear understanding of how data structures drive product outcomes.
This is not a project or delivery role. It is focused on product ownership, technical decision-making, and delivering meaningful customer value.
Job Responsibilities
Own specific product lines, features, or datasets within a defined domain
Define product strategy, roadmap, and lifecycle across data and AI-driven products
Validate incoming requests from sales, engineering, and customers, separating true problems from noise
Partner directly with customers and internal stakeholders to understand needs, constraints, and use cases
Refine AI-generated product requirements and workflows for accuracy, completeness, and usability
Translate complex business problems into structured workflows, data models, and decision logic
Produce clear, implementation-ready product specifications, including requirements, data contracts, and acceptance criteria
Ensure requirements reflect system architecture, dependencies, integrations, and real-world constraints
Participate in architecture and design discussions, making informed technical tradeoffs
Own embedded BI and reporting capabilities, ensuring dashboards and data products are accurate, performant, and valuable
Ensure strong data governance, including semantic consistency, data quality, and reliability across product surfaces
Collaborate closely with engineering, data, and business teams to deliver high-quality product outcomes
Stay engaged throughout execution to resolve questions, guide decisions, and ensure alignment to product intent
Incorporate production feedback and customer insights into future product iterations
Required Qualifications
5+ years of experience in product management or equivalent experience in engineering, data, or analytics roles
Strong technical background with the ability to understand system architecture, APIs, and integrations
Proficiency in SQL and the ability to work directly with data models, schemas, and table-level structures
Demonstrated ability to translate customer and business needs into clear, actionable product requirements
Experience working closely with engineering and data teams on technical or platform-based products
Strong problem-solving skills and ability to make and own decisions in high-autonomy environments
Experience engaging with customers or external stakeholders in a technical capacity
Preferred Qualifications
Experience in payments, fintech, or enterprise SaaS environments
Experience building or shipping data products, analytics platforms, or BI/reporting solutions
Familiarity with modern data platforms (such as Snowflake) and BI tools (such as Sigma)
Experience working in AI-enabled or automation-driven product environments
Strong understanding of AI product principles, including semantics, grounding, and data quality
Familiarity with agentic AI frameworks or orchestration tools (such as LangChain or similar)
Experience with data governance, semantic modeling, and data quality frameworks
Strong ability to identify gaps, edge cases, and risks in product or technical designs
Experience supporting complex customer or partner integrations
Ability to influence cross-functional teams without owning delivery execution
