Jobs at Alegeus

Oversee back-office banking and payment operations, including consumer identification, OFAC-related tasks, account reconciliations, transaction processing, and claim resolution. Manage client tickets and work requests within service-level agreements, communicate with stakeholders, identify financial risks, monitor operational trends, and report processing issues. Support special projects and operational improvements while maintaining accuracy, productivity, and service quality.

Manage back-office banking and payment operations for consumer-directed healthcare accounts: CIP and OFAC checks, reconciliations, transaction processing, claim resolution, and SLA-driven ticket management. Monitor trends, report issues, communicate with stakeholders, and support special projects to mitigate financial risk and improve processes.

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.

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.

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.

Design, build, and scale a next-generation data platform and data-driven APIs. Develop Spark-based batch and streaming pipelines, optimize performance, implement data quality/lineage, and expose curated datasets via low-latency Java/REST microservices. Deploy cloud-native solutions (Azure/AWS/GCP), integrate event streaming, champion observability, CI/CD, and mentor engineers while taking end-to-end ownership from design through production.

As a Data Scientist I, you will develop AI-powered features, design APIs, collaborate with cross-functional teams, and embrace agile practices to drive innovation within fintech and healthtech sectors.

As an Expert Engineer in QA Automation, you'll design automation strategies, build API testing tools, own performance engineering, and improve CI/CD processes while ensuring system reliability in a collaborative environment.

The Software Engineer - CDH Applications will design and develop innovative cloud-native solutions, focusing on microfrontends, microservices, and maintaining high-quality code in a collaborative environment.

As a Senior Software Engineer I, you will develop and implement APIs and services while using technologies like C# and microservices. You will also engage in API design, apply Domain-Driven Design principles, and leverage AI/ML where applicable.

As a Software Engineer - CDH Platform, you will enhance core platforms, design cloud-native microservices, ensure system interoperability, and advocate for quality through testing and code reviews in collaboration with cross-functional teams.

Partner with Product Managers to define success metrics and influence roadmap decisions by turning product, customer, operational, and financial data into actionable insights. Own and evolve product analytics (Pendo), build self-service dashboards and visualizations, coach product teams on analytics best practices, identify trends and growth opportunities, and deliver executive-ready recommendations to drive product strategy and measurable outcomes.

Design, build, and own cloud-native microservices on Azure using .NET/Node.js. Drive product decisions, apply TDD and automated testing, mentor engineers, improve architecture, performance, observability, and CI/CD practices while collaborating with product, design, QA, and business teams.

Manage employer-level file integration projects, resolve rejected records, maintain ticketing queues within SLA, monitor file quality, identify automation opportunities, and develop best practices and training to reduce recurring errors.

Lead multiple concurrent client implementations from kickoff to production, manage scope/schedule/risks, run meetings, maintain project plans and documentation, act as trusted client advisor, and drive continuous improvement of implementation processes.

Drive renewal and growth across assigned Northeast client accounts. Build and maintain senior relationships, develop renewal/growth strategies, manage pipeline and forecasts in Salesforce, meet/exceed ARR targets, and add new opportunities monthly using SaaS/channel go-to-market best practices.

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.

As a Senior Software Engineer I, you will design and implement scalable services, lead API development, and utilize modern technologies to enhance platform intelligence.