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# Staff IT Product Owner

- **Company:** ECHOSTAR
- **Location:** Greenwood Village, CO, United States
- **Experience:** Expert
- **Salary:** $96,250.0 - $137,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Cloud Engineering, Customer Interaction Management (Software), Data Masking, Programming Tools, Machine Learning, Scrum Methodology, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Technical Debt, AgentCore, Generative AI, Backend, Agentic-AI, AI Platforms, Amazon Bedrock, AutoGen, Data Pipelines, Api Management, Microservices
- **Published:** October 15, 2026
- **Apply:** https://www.oriontalent.com/search-jobs/career/11676104/staff-it-product-owner-colorado-co-greenwood-village

## About the Role

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session., * 10+ years in Product Management or Product Ownership, with at least 5+ years operating at a Senior or Staff level managing highly technical, platform, or infrastructure products

 * Proven experience shipping Generative AI, LLM, or Machine Learning products; strong understanding of Agentic AI concepts (RAG, vector databases, prompt engineering, agent orchestration frameworks like LangChain or AutoGen)
 * Expert-level proficiency in Jira; you know how to structure complex programs in Jira, manage technical debt vs. feature delivery, and write crystal-clear user stories for backend/AI engineers, * Deep understanding of CX ecosystems, contact center technologies (CCaaS), CRM platforms, and customer support workflows
 * Ability to engage in deep technical architecture discussions; you don't need to write code, but you must understand APIs, microservices, system latency, and data pipelines
 * Exceptional ability to manage up to the VP/C-level while maintaining deep credibility with engineering squads
 * Certified Scrum Product Owner (CSPO), SAFe PM/PO, or equivalent Agile certifications
 * Experience with cloud-native AI services, particularly the AWS AI stack (Amazon Bedrock, SageMaker, AgentCore)
 * Previous experience building internal developer platforms (IDP), SDKs, or APIs where developers were the primary end-users

## Description

* Define and drive the product vision for the Agentic AI development tool, ensuring it provides engineers with the capabilities to build autonomous, multi-step reasoning agents (e.g., automated support resolution, hyper-personalized outreach, human-in-the-loop handoffs)
 * Partner with CX leadership to understand major friction points in the customer journey and ensure the AI platform possesses the capabilities (API integrations, RAG pipelines, Guardrails) needed to solve them
 * Establish KPIs for the AI platform itself (developer velocity, system uptime, agent hallucination rates) and link them to downstream CX metrics (deflection rate, average handle time, NPS)
 * Act as the ultimate owner of the platform backlog in Jira; break down highly complex, ambiguous AI initiatives into well-structured Epics, User Stories, and tasks
 * Utilize Advanced Roadmaps, JQL, and Jira dashboards to track cross-sprint dependencies, forecast delivery of complex ML models, and provide transparent reporting to executive stakeholders
 * Lead backlog grooming, sprint planning, and sprint reviews; clearly define acceptance criteria for non-deterministic AI features (e.g., "The agent must correctly route the intent with 95% confidence")
 * Work daily with Senior/Staff AI Engineers, Data Scientists, and Backend Engineers to prioritize architectural foundational work (e.g., prompt management systems, memory/context windows, tool-use/function calling)
 * Prioritize the development of guardrails, compliance checks, and PII redaction features within the tool to ensure all customer-facing agents operate safely and securely
 * Drive the roadmap for tooling that allows human CX agents to seamlessly take over from, monitor, and provide feedback to AI agents
 * Serve as a subject matter expert in Agile delivery for AI products; mentor junior and mid-level Product Owners across the CX organization