Senior Product Manager - Data/API

Remote, USA
Posted Jun 12, 2026
Full-time

About the role:
We are seeking a Senior Product Manager to lead strategy and execution for our data platform and API-driven products. This individual contributor role operates in a PM and PO model, partnering closely with engineering and data teams to deliver scalable, reliable, and extensible data capabilities in a regulated environment. 
This role is critical to defining and evolving our data platform, enabling internal teams, developers, and external partners to access, integrate, and operationalize data through well-designed APIs and services. It bridges product vision and execution, ensuring our data and API products are performant, reliable, and drive measurable business outcomes. 
Responsibilities include:
Define product strategy, roadmap, and priorities for data platform and API-driven capabilities 
Own the definition and lifecycle of data products and APIs, including versioning, scalability, and long-term maintainability 
Define target consumers (internal teams, developers, partners), integration use cases, and business impact 
Define API contracts, data schemas, and integration patterns to ensure consistency, usability, and extensibility 
Treat developers and integration partners as primary customers, improving developer experience, documentation, and ease of integration 
Guide prioritization and tradeoff decisions balancing scalability, performance, latency, reliability, and business value 
Partner closely with engineering and data teams to deliver data pipelines and APIs, stepping in as needed to unblock progress and ensure delivery stays on track 
Define and manage SLAs, performance expectations, and reliability standards for data and API products 
Communicate product vision, strategy, and roadmap to internal teams and external stakeholders, including technical and non-technical audiences 
Partner with Product Marketing and commercial teams to support go-to-market and adoption of data and API products 
Engage with internal and external consumers to gather feedback, validate integration use cases, and continuously improve platform usability 
Define and monitor key metrics such as API adoption, usage, latency, reliability, and integration success rates 
Ensure data governance, security, and regulatory considerations are incorporated into product decisions 
Leverage AI tools to accelerate research, analysis, and product development workflows 
Required Qualifications:
7+ years in a Product Manager or similar role, with demonstrated experience shipping data  products in collaboration with engineering teams 
Experience leading product work across strategy, prioritization, and delivery 
Experience building and managing platform, data, or API products (distinct from primarily UI-driven or SaaS application features) 
Strong understanding of data systems, including data pipelines, data modeling, and distributed systems concepts 
Working knowledge of API design (e.g., REST), data integration patterns, and system interoperability 
Ability to reason about system and product tradeoffs (e.g., latency vs consistency, batch vs real-time processing) 
Ability to partner effectively with engineering and data teams on technical product decisions and architecture-level discussions 
Strong analytical thinking and comfort using data to inform decisions 
Ability to lead cross functional teams and drive alignment in complex environments 
Demonstrated ability to operate with high ownership and drive outcomes in ambiguous environments 
Experience in regulated or risk-sensitive domains, preferably within fintech 
Working knowledge of AI/ML concepts and experience contributing to data-intensive or AI-driven products 
Experience using AI tools to improve productivity, accelerate workflows, and enhance product development processes 
Excellent presentation, interpersonal and written/verbal communication skills (listening, verbal, and written) skills to tailor information and communication style to different audiences including senior leadership.  
Comfortable with autonomy and ambiguity; able to self-direct work and deliver results independently in a high-demand, fast-paced environment without close supervision.

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