Key skills
CloudMicroservicesGoAIMLAgenticAnalyticsSnowflakeLeadershipProduct Management
About this role
Role Overview
- Define and evolve the end-to-end product architecture for AI-enabled capabilities across Commercial Lending and adjacent solutions
- Serve as the technical authority within Product for architecture decisions, configuration options, integration patterns, and platform extensibility.
- Translate complex architectural concepts into clear product direction for engineering, leadership, and go-to-market teams.
- Drive a cohesive architectural strategy to bring lending solutions together, balancing reuse, configurability, performance, and regional flexibility.
- Deeply understand and influence how workflows, data models, and configuration frameworks operate across the two products.
- Partner with engineering and architecture leaders to reduce fragmentation while preserving customer-specific and region-specific needs.
- Define how AI data is sourced, governed, stored, and shared across products and platforms.
- Partner closely with data architecture teams to ensure Snowflake enables: Cross-solution analytics and AI use cases, secure & compliant data access, and scalability for future AI and agentic use cases
- Ensure AI capabilities are designed with explainability, security, and regulatory considerations in mind.
- Shape the product strategy for buy/build/partner decisions related to AI capabilities, aligned with internal AI initiatives and leadership direction.
- Evaluate and integrate third-party AI technologies where appropriate, ensuring architectural and data alignment.
- Act as a key product partner to internal AI, platform, and innovation teams.
- Operate as a connective tissue across Product, Engineering, Architecture, Data, Presales, and GTM.
- Support customer-facing teams with deep technical context for architecture, AI capabilities, and future direction.
- Influence long-term platform and investment decisions through clear articulation of architectural trade-offs and opportunities.
Requirements
- 8–12+ years of experience in product management, technical product leadership, or solution architecture, preferably in enterprise or financial services software.
- Strong understanding of: Modern software architecture (cloud-native, microservices, APIs, event-driven systems) Data platforms and analytics architectures (e.g., Snowflake or similar) AI/ML concepts as applied to enterprise software (not model building, but applied architecture and data strategy)
- Proven experience working deeply with engineering and architecture teams, with the ability to challenge and influence design decisions.
- Comfort operating in highly complex, regulated environments.
- Experience with commercial lending, credit, or financial services platforms.
- Background in platform product management or architecture-heavy product roles.
- Experience designing products that leverage AI across multiple solutions, including partnerships with third-party vendors.
- Ability to communicate complex technical topics clearly to executive and non-technical audiences.
Tech Stack
- Cloud
- Microservices
Benefits
- Opportunities to innovate in fintech
- Tools for personal and professional growth
- Inclusive and diverse work environment
- Resources to invest in your community
- Competitive salary and benefits