Product Owner - AI & ML at EchoStar
Denver, CO 80202, USA -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

72400.0

Posted On

14 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Computer Science, Information Systems, Cspo, Performance Metrics, Azure

Industry

Information Technology/IT

Description

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

EDUCATION AND EXPERIENCE:

  • Bachelor’s or advanced degree (Master’s or higher) in Computer Science, Information Systems, or a related field.
  • 3+ years of product owner experience, preferably on data-driven, AI/ML solutions in agile environments.
  • 3+ years of hands-on experience developing machine learning or deep learning applications (Preferred)
  • Proven ability to manage product backlogs and deliver value through prioritized, paired development.
  • Experience with major cloud platforms (AWS, GCP, or Azure).
  • Agile certification 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
  • Ability to make data-driven decisions and analyze performance metrics, including code quality/deployment efficiency
    Visa sponsorship not available for this role

How To Apply:

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Responsibilities
  • Define AI solution requirements through stakeholder collaboration, aligning business needs with technical feasibility.
  • Prioritize and manage the AI product backlog, focusing on high-value, paired data scientist/engineer initiatives.
  • Oversee the AI initiative pipeline, balancing strategic goals with early production integration and immediate needs.
  • Drive product development by writing and accepting Epics, contributing to User Story creation, and ensuring clear roadmap communication.
  • Monitor product performance using data insights to improve deployment speed, maintainability, and ROI.
  • Manage stakeholder expectations, advocate for collaborative development, and ensure delivery within budget.
    Skills, Experience and Requirements
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