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EchoStar

Technical Product Owner - AI Products

Posted 9 Hours Ago
Be an Early Applicant
In-Office
Denver, CO
72K-103K Annually
Mid level
In-Office
Denver, CO
72K-103K Annually
Mid level
The Technical Product Owner will define AI solutions through stakeholder collaboration, prioritize the product backlog, manage the AI initiative pipeline, and monitor product performance and ROI.
The summary above was generated by AI
Company Summary
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Department Summary
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities
Key Responsibilities:
  • Define business needs via stakeholder collaboration, articulating AI solution requirements
  • Prioritize the product backlog based on value, goals, and capacity, focusing on paired data scientist/engineer initiatives
  • Manage the AI initiative pipeline, balancing long-term goals with immediate needs, promoting early production integration
  • Write and accept Epics as the primary value unit of decomposed value.
  • Collaborate with the team on User Story creation
  • Communicate the product vision and roadmap, emphasizing paired programming's impact on faster deployment
  • Monitor product performance, driving improvements via data insights, focusing on deployment speed and maintainability
  • Manage stakeholder expectations, balancing priorities with feasibility, advocating for collaborative development
  • Monitor ROI, ensuring maximum value within budget, considering paired programming efficiencies

Skills, Experience and Requirements
Education and Experience:
  • Bachelor's degree in computer science, Information Systems, or a related field
  • Advanced degree (Master's or higher) in computer science, Information Systems, or a related field preferred
  • 4+ years in product management, focusing on data-driven/AI/ML solutions, ideally in agile
  • 3+ years of industry experience building machine learning and deep learning based software applications
  • Experience with cloud stack (AWS, GCP or Azure) preferred
  • Experience with AI/ML, Generative AI and Agentic AI awareness
  • Certification in agile methodologies such as Certified Scrum Product Owner (CSPO) preferred

Skills and Qualifications:
  • Strong understanding of agile/scrum, including paired programming principles
  • Proven ability to manage stakeholders and communicate effectively with technical and business teams
  • Experience managing product backlogs and delivering value via prioritized, paired development
  • Ability to make data-driven decisions and analyze performance metrics, including code quality/deployment efficiency

Visa sponsorship not available for this role
Salary Ranges
Compensation: $72,400.00/Year - $103,400.00/Year
Benefits
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Top Skills

AI
AWS
Azure
GCP
Ml
HQ

EchoStar Englewood, Colorado, USA Office

EchoStar Corporate Headquarters - Meridian Office

9601 S Meridian Boulevard, Englewood, CO, United States, 80112

EchoStar Denver, Colorado, USA Office

EchoStar Downtown Denver Office - DGC Office

1615 17th St., Denver, CO, United States, 80202

EchoStar Littleton, Colorado, USA Office

EchoStar Wireless Headquarters - Riverfront Office

5701 S Santa Fe Dr., Littleton, CO, United States, 80120

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