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The Product Manager will lead AI solution strategy and execution across the Clover ecosystem. Responsibilities include prioritizing AI workflow use cases, translating business processes into agentic experiences, defining metrics and roadmaps, building evaluation and confidence-scoring frameworks, implementing governance and audit workflows, prototyping prompts and agent systems, and partnering with vertical product managers. The role requires extensive product management experience, strong generative AI expertise, analytical execution skills, and hands-on technical prototyping capabilities.

Own the growth platform product strategy, enabling go-to-market teams and self-service workflows. Lead CDP implementation, experimentation infrastructure, A/B testing, event taxonomy, data governance, and growth technology vendor management. Drive cross-functional alignment across product teams, establish shared platform standards, and influence without direct authority. The role requires fluency in data pipelines, event schemas, webhooks, REST APIs, database architecture, and growth analytics and experimentation tools.

Design, build, and deploy production-grade Generative AI applications and multi-agent solutions. Develop RAG pipelines, integrate commercial and open-source LLMs, fine-tune models, and build scalable Python APIs. Optimize applications for performance, latency, cost, reliability, and scalability. Implement monitoring, containerization, CI/CD, and cloud deployments while collaborating with engineering, architecture, AI/ML, and product teams.

Senior Business Systems Analyst to define requirements for agent-facing servicing applications, design integrations/APIs with core banking systems, translate needs into user stories and acceptance criteria, improve agent workflows and productivity, and identify AI/ML opportunities for fraud detection, automation, and operational analytics. Supports testing, validation, and releases.

Develop and deploy Java Spring Boot microservices, REST APIs, automated tests, performance and chaos testing solutions. Manage EKS infrastructure, CI/CD workflows, monitoring, JVM and database optimization, and production support. Migrate TIBCO BW processes to Apache Camel and ActiveMQ Artemis, implementing resilient messaging and standardized exception handling. Maintain API documentation, testing records, and ServiceNow change-management tickets.

Design, develop, test, deploy, and support scalable Java and Spring Boot microservices. Build REST APIs, automated tests, Camel and Artemis messaging workflows, and resilient infrastructure on EKS. Collaborate on CI/CD, monitor production systems with Datadog, optimize performance, document APIs and testing outcomes, and manage ServiceNow deployment tickets. The role also involves migrating TIBCO BW processes to Apache Camel and supporting production installations across various U.S. locations.

Design and build scalable backend services and AI-powered applications using Node.js/TypeScript or Python. Develop AI agents, agentic workflows, LLM integrations, tool calling, evaluation frameworks, REST APIs, microservices, and event-driven services. Partner with Product and Business teams, provide architecture guidance and code reviews, lead an offshore engineering pod, and optimize backend and AI workloads for reliability and performance. The role is onsite in Rhode Island or Arizona.

Designs and maintains automated test frameworks for web, API, and mobile applications. Performs functional, regression, integration, and end-to-end testing; validates APIs, databases, and integrations; integrates tests into CI/CD pipelines; manages defects; collaborates with development and product teams in Agile ceremonies; and provides quality metrics and reporting.

Develop and maintain scalable enterprise Java applications and Spring-based microservices. Responsibilities include hands-on coding, unit and system testing, debugging, technical documentation, performance optimization, troubleshooting distributed cloud environments, and adherence to software development and security standards. Collaborate with technical leads, architects, and cross-functional Agile teams to design and implement complex global applications.

Build, integrate, enhance, and support production-grade Generative AI and LLM applications. Develop AI agents, RAG capabilities, APIs, and enterprise integrations using JavaScript and TypeScript. Apply prompt engineering, model evaluation, monitoring, security, authentication, and responsible AI practices. Troubleshoot complex issues across application, integration, model, and platform layers while supporting CI/CD, testing, deployments, observability, and production operations.