About the Role
Description:
Position Title: Technical Product Owner
Location: Denver (6360 S Fiddlers Green Cir) or STL (13736 Riverport Dr) - no preference
Rate: $55/hr max
Duration: on-going contract
WFH/On-site Schedule: 4/1
Team Overview
Sits within Mobile SDIT and has 2 teams. The main team is an MIS Python/ETL based tool team, and the new one is a re-write of a customer-based tool. His team is not core Java Development, its working with very large data sets, with a big focus on AI. Team is a mix of on-shore/off-shore developers, including a Scrum Master and a TPO on-shore. This is a brand new need to support the re-write project.
Manager notes/questions:
Needs someone with a technical background that can bridge the gap between the business requests to the technical stories into acceptance criteria. He wants to see someone that started their career as a developer and progressed into a TPO role. However, he needs a heavy hitter with 5-8 years of core TPO experience. The basic requirements for the Usage Platform re-write project are created already with an end of year deadline (for now). This TPO will be the spokesperson for the team, with specific duties including:
Prioritizing the backlog
- Defining the roadmap
- Writing technical stories
- Creating the acceptance criteria for the team
- Driving/Leading discussions with leadership stakeholders then translating those asks into criteria for architecture and development
- Driving the work, alongside the Scrum Master
The team is also very heavily using AI, Kiro. Hed like to see someone that has 1-2 years of utilizing AI in their daily work, no preference on which AI tool, but must have an AI mindset.
From a personality standpoint, he doesnt want a yes person. The expectation is for the TPO to lead the discussions and challenge as needed, using their technical and business knowledge.
Top 3 Must-have hard skills:
1. Development background with progression to a Product Owner role 5-8 years as a core TPO.
2. Driving the work (backlog, creating acceptance criteria, defining the roadmap), not a behind the scenes type person.
3. 1-2 years of AI experience
TTelcom domain knowledge- it's too much to teach from scratch for these tight deadlines
Job Description:
Key Responsibilities:
Own and maintain the product backlog across an enterprise-scale requirement set
Translate business requirements into user stories with clear acceptance criteria
Prioritize based on phase dependencies, critical path, and business value
Coordinate cross-POD dependencies across backend and UI teams
Track phase exit criteria and escalate when delivery is at risk
Serve as primary interface between development team and business stakeholders
Coordinate planning and execution
Required:
510 years as a Technical Product Owner, Product Manager, or BA on enterprise platform builds
Experience managing large-scale backlogs (100+ requirements) across multiple teams
Strong Agile/Scrum and backlog management (Jira preferred)
Experience with data processing platforms, ETL/ELT pipelines, or streaming architectures
Understanding of Kafka / event-driven architecture concepts
Experience managing distributed/offshore teams
Familiarity with AI-assisted development workflows
Professional experience using AI tools (Kiro, Cursor, GitHub Copilot, or similar) in a work setting
Preferred:
Telecom usage data processing experience.
Familiarity with Kubernetes/containerization at a high level
Development model is AI-assisted using Kiro.
Key Responsibilities & Skills
- Technical Product Ownership
- Backlog Management & Prioritization
- Roadmap Definition
- Acceptance Criteria Creation
- Stakeholder Management
- Cross-Functional Team Coordination
- Enterprise-Scale Requirement Management
- AI-Assisted Development Mindset
- Telecom Usage Data Expertise
- Large Data Set Handling
Technical Skills
- Python / ETL / ELT Pipelines
- Kafka / Event-Driven Architecture
- AI Tools (Kiro / Cursor / GitHub Copilot)
- Kubernetes / Containerization
- Jira (Agile & Scrum)
- SQL (Data Querying)
- Distributed / Offshore Team Collaboration
Education
Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Business Administration, Telecommunications Engineering. Preferred: MBA, Master's in Computer Science, Master's in Data Science, Master's in Telecommunications Engineering.
Industry Experience
- Telecommunications
- AI / Machine Learning
- Data Engineering
- Enterprise Software Platforms
- Cloud Services
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