We are looking for a rare combination: a product leader who thinks in systems, speaks the language of platform engineering and data architecture, and knows how to drive alignment across teams that donβt report to them. This is not a generalist PM role. It is a specialist in platform thinking who also owns our data strategy β two areas that are fundamentally interconnected in our product.
This hire will be the connective tissue between product, architecture, engineering, and analytics. They will shape how our data becomes a strategic and monetizable asset and own the vision for how our platform evolves from a decomposing monolith into a modern, extensible microservices architecture.
Platform Service Strategy & Governance
Define the vision and roadmap for platform-level microservices β identifying which capabilities should be built as platform services from day one vs. evolved from module-specific implementations.
Own the API contract strategy: define standards for versioning, backward compatibility, and breaking change governance across all services.
Establish the principles and governance model for how existing module-level services get backported into shared platform services over time.
Lead net-new platform service builds in partnership with architecture and engineering, from discovery through adoption.
Champion developer experience β ensure internal engineering teams have the documentation, contracts, and tooling they need to build confidently against platform services.
Data Architecture & Monetization Strategy
Partner with Analytics and Architecture to define and evolve the Snowflake lakehouse strategy β bringing product and commercial context to a technically-led initiative.
Own the data product identification process: determine which enriched datasets are monetizable and valuable to FI, ERP, and other strategic partners.
Define data governance requirements for regulated partner use cases, including data lineage, access controls, residency considerations, and consent frameworks.
Work with commercial and partnerships teams to translate data product identification into viable partner offerings.
Performance, Scalability & International Readiness
Serve as the product voice in architectureβs platform performance and reliability workstream β ensuring prioritization reflects real business impact, not just technical preference.
Build line of sight into end-of-month latency, load, and scalability gaps; push for honest diagnosis and meaningful remediation timelines.
Define the product requirements for international expansion readiness β multi-geography, multi-currency, and increased volume support β targeting late 2026 / early 2027.
Required
5β8+ years of product management experience, with meaningful time in platform, infrastructure, or API-focused product roles.
Deep enough technical fluency to engage credibly with architecture and engineering on microservices patterns, API design, and distributed systems tradeoffs β you donβt need to write code, but you need to understand the decisions.
Demonstrated experience with data strategy in a product context β data pipelines, data warehousing, or data product development.
Track record of influencing without authority across engineering, data, and business teams.
Comfort operating in ambiguity β this role requires building structure where little exists today.
Strongly Preferred
Experience with Snowflake or comparable cloud data platforms in a product or strategy capacity.
Familiarity with data monetization, data sharing, or partner data product models β particularly with FIs or ERP ecosystem partners.
Experience with API governance, API versioning strategies, or developer platform products.
Background in fintech, B2B SaaS, or collaborative commerce platforms nice to have.
Exposure to regulatory and compliance considerations around data sharing (SOC 2, data residency, financial data regulations).
Organizational Change Management
This is not just a technical or strategic role. You are coming into an organization mid-transformation β a monolith culture evolving toward microservices, and a data strategy that has started but needs more thought. You will need to:
Build credibility and trust with engineering and architecture leaders who have strong technical opinions.
Drive cultural change around platform-first thinking without having direct authority over the teams doing the work.
Maintain executive alignment and surface honest performance signals, even when they are uncomfortable.

Versapay

Syniverse

CodePath

YipitData

Stord

Versapay

Versapay

Versapay