Description

We are seeking an experienced Technical Product Manager (TPM) with a strong engineering background and a passion for emerging AI-driven solutions. The ideal candidate brings hands-on experience or a solid conceptual understanding of AI agent integrations, MCP servers, API development and modern cloud-based microservices ecosystems. This role requires a proactive, detail-oriented individual who can bridge business needs and technical execution, drive cross-functional initiatives and ensure delivery of scalable, high-quality solutions. Responsibilities Lead end-to-end delivery of technical programs focused on AI integrations, APIs and cloud-native platforms Collaborate with engineering, architecture and product teams to design and implement AI agent integrations and MCP-based solutions Drive development and adoption of scalable APIs and microservices architectures Partner with stakeholders to define program scope, timelines and success metrics Ensure alignment across distributed teams and manage dependencies, risks and priorities Establish and track program governance, reporting and communication cadence Facilitate technical discussions and remove blockers for engineering teams Promote continuous improvement and adoption of modern SDLC and DevOps practices Requirements 2+ years of proven experience as a Technical Product Manager, Engineering Manager or Senior Technical Lead Understanding of API development and integration patterns Background in microservices architecture and distributed systems Knowledge of at least one cloud platform (AWS, Azure or GCP) Capability to work closely with engineering teams and translate technical concepts into business value Excellent communication, stakeholder management and organizational skills Experience working in globally distributed teams Nice to have Familiarity with AI agent frameworks and integrations Understanding of MCP (Model Context Protocol or similar orchestration concepts) Background in platform engineering or large-scale system integrations Familiarity with DevOps practices, CI/CD pipelines and infrastructure-as-code