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
Skills Required
- 5+ years of experience in product management or equivalent experience in engineering, data, or analytics roles
- Strong technical background with ability to understand system architecture, APIs, and integrations
- Proficiency in SQL and 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
- Must be able to successfully pass a background check and a credit check
- 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
- Experience supporting complex customer or partner integrations
- Ability to influence cross-functional teams without owning delivery execution
What We Do
The FreedomPay Commerce Platform is the best way for merchants to simplify complex payment environments. Validated by the PCI Security Standards Council for Point-to-Point Encryption (P2PE) along with EMV, Tokenization, Contactless and DCC capabilities, global leaders in retail, hospitality, gaming, education, healthcare and financial services trust FreedomPay to deliver unmatched security and advanced value added services.



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