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# Staff IT Product Owner

- **Company:** ECHOSTAR
- **Location:** Englewood, CO, United States
- **Experience:** Expert
- **Salary:** $96,000.0 - $138,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Cloud Engineering, 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 14, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/staff-it-product-owner/11668036

## About the Role

* 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

Expert/Leader
Owns the vision, roadmap, backlog, and delivery of an agentic AI development platform for customer experience applications. Partners with CX, engineering, and data science teams to define capabilities including RAG, guardrails, orchestration, human handoffs, and PII redaction. Establishes platform and CX KPIs, manages complex Jira programs, leads Agile ceremonies, communicates with executives, and mentors Product Owners. Requires extensive technical product ownership experience, generative AI expertise, and familiarity with AWS AI services and developer platforms.
The summary above was generated by AI
What Success Looks Like (Objectives):

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session., * 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