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Generate and qualify new B2B sales opportunities via outbound and inbound channels, research and engage decision-makers, align prospect pain points with Alegeus solutions, nurture relationships to grow pipeline, and collaborate with marketing, sales ops, and account executives while tracking activity in CRM tools.

Design, build, test, and maintain scalable, secure SaaS web applications. Translate user stories to solutions, improve code quality, mentor teammates, participate in on-call rotation, and deploy releases. Collaborate in Agile/Scrum teams and support Azure/Kubernetes-based microservices.

Design, build, and scale MLOps/LLMOps pipelines and secure automated deployments on Azure. Ensure governance, observability, and evaluation of production models. Partner with data scientists and product teams to operationalize AI, implement safe rollouts (A/B tests, canaries, human-in-the-loop), and maintain model performance and compliance.

Design and operationalize LLMOps practices to deploy, monitor, and improve generative AI solutions. Manage prompt lifecycles, model configs, evaluation workflows, and governance. Implement A/B testing, feature flags, human-in-the-loop processes, and monitoring to ensure secure, scalable, auditable AI in production while collaborating cross-functionally to move prototypes to production.

Provide end-user technical support for software applications, diagnose and resolve application, data transfer, and connectivity issues, document cases, communicate updates to customers and account managers, capture recurring issues for product improvements, create user documentation, and assist with trainings and cross-functional escalations.

The Senior Product Manager will oversee integrations, managing APIs, data, and experience modalities to enhance partner integration speed and efficiency, while improving developer experiences and product performance.

As a Product Manager, you will lead the vision and strategy for data platform capabilities, ensuring alignment with business goals and driving innovation across multiple scrum teams.

Execute banking and back-office payment operations including account reconciliations and card dispute processing. Meet daily productivity and quality goals, identify trends and issues, improve workflows, collaborate with internal and external partners, and support projects related to consumer-directed healthcare and HSA products.

Analyze and mitigate payment and account fraud by monitoring transactions, investigating suspicious activity, escalating cases, and recommending controls. Collaborate with cross-functional teams to improve detection rules and reporting to reduce fraud losses and operational risk.

The role involves developing microservices in C#/.NET for a fintech platform, driving product value through collaboration and ownership, and ensuring high-quality software through TDD and CI/CD practices.