RiskSpan

Product Manager

• Own and contribute to the agency MBS product roadmap
• Develop deep expertise in RiskSpan's agency prepayment models, MBS analytics, and platform features
• Translate client feedback and market trends into structured product requirements
• Monitor Agency MBS market developments to identify product opportunities
• Manage and extend AI-powered product features
• Serve as the primary point of contact for clients with Agency MBS questions
• Represent the client and product perspective across internal teams
• Collaborate with Customer Success for smooth handoffs and healthy relationships

AI Engineer

• Design, build, and deploy AI-powered applications including chatbots, knowledge assistants, and workflow automation agents.
• Implement end-to-end solutions covering data ingestion, transformation, prompt orchestration, model interaction, and cloud deployment.
• Integrate AI systems with internal APIs, enterprise platforms, and data pipelines.
• Design agent workflows with tool/function calling, branching logic, retries, and fallback handling.
• Implement human-in-the-loop and approval-based workflows for regulated financial use cases.
• Build multi-agent systems for validation, refinement, and complex task decomposition.
• Design and implement RAG pipelines covering chunking, embeddings, retrieval, and grounding.
• Work with structured and unstructured data using SQL, S3, and data pipeline tools.
• Leverage AWS services (S3, Glue, Redshift, Lambda, ECS, Step Functions, SQS/SNS) for storage, transformation, and orchestration.
• Monitor and improve AI systems for accuracy, latency, cost, and reliability.
• Implement structured output validation, schema enforcement, and guardrails.
• Evaluate model performance and iteratively improve grounding and output consistency.

Product Manager

AI Engineer – Financial Services