Senior Technical Product Manager
US-CO-Littleton
Attract-careers1
Req #: 98040
Type: Fulltime-Regular
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Overview: Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow. Responsibilities: Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. You will solve the critical challenge of evolving our Core Systems Platform from traditional, deterministic API workflows into advanced, AI-ready orchestration layers. By leading the transition from hard-coded sequencing to model-driven automation, you ensure our platform remains at the forefront of the autonomous agent revolution. Your leadership will bridge the gap between complex cloud-native architectures and high-value enterprise workflows, delivering a reliable and secure foundation for our global carrier and OEM partners. What Success Looks Like (Objectives) * Sequence the product roadmap to transition Core Systems from deterministic API workflows to AI-ready orchestration using MCP and UCP standards * Identify and curate high-value enterprise workflows for autonomous agents, developing the necessary tool schemas and resource definitions for AI-accessible interfaces * You will lead the architectural evolution from rigid sequencing to probabilistic, model-driven tool selection and context-aware automation * Design scalable cloud-native architectures for microservices and event-driven workflows on AWS/GCP that align with enterprise reliability goals * Serve as the primary technical lead for partner integrations with carriers and OEMs, designing universal interfaces that support both REST and AI agent consumers * Establish robust AI governance and security models, including least-privilege RBAC and human-in-the-loop approvals for auditable compliance * Implement monitoring frameworks for AI system behavior to ensure operational safety and predictable platform performance Qualifications: Core Skills and Competencies (What you'll bring) * Distributed Backend Architecture expertise with a mastery of API design and microservices on cloud platforms like AWS or GCP * AI Orchestration proficiency, specifically involving LLM integration frameworks and emerging standards such as Model Context Protocol (MCP) and Universal Commerce Protocol (UCP) * Advanced Technical Communication skills required to translate engineering-level documentation-including sequence diagrams and ERDs-into clear executive strategies * Ecosystem Design mastery for building platform capabilities that support diverse external partner integrations across business and technical units * Strategic Platform Problem-Solving expertise with the ability to navigate complex, cross-functional environments with minimal supervision * AI Governance and Security expertise to implement robust RBAC, auditable lineage, and operational safety for autonomous systems Additional Qualifications Successful candidates will have a proven track record of delivering large-scale platform products or complex enterprise integrations in cloud-native environments. You possess a unique ability to navigate both large-scale corporate structures and fast-paced startup ecosystems with agility. We value specific experience in Telecom, Wireless, or MVNO ecosystems, particularly involving 5G, eSIM, and device provisioning integrations. Minimum Requirements * Minimum Education: Bachelor's degree in Computer Science or Engineering (Master's degree in Business or Engineering preferred) * Minimum Experience: 5+ years of experience in Technical Product Management, Platform Product Management, or Solution Architecture * Required Technical Skills: Must have at least 5 years of experience with: * API architecture and distributed systems on AWS or GCP * Designing platform capabilities for external partner ecosystems * Implementing monitoring frameworks for complex system behavior #LI-JZ2
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