Senior Product Manager - AI Products

Reposted 17 Days Ago
Denver, CO, USA
In-Office
96K-138K Annually
Mid level
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Welcome to EchoStar
The Role
The Technical Product Owner for AI Products will define the product vision, prioritize the backlog, manage stakeholder expectations, and drive delivery outcomes for AI initiatives using data-driven insights.
Summary Generated by Built In
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.
Key Responsibilities:
  • Define and communicate AI product vision, roadmap, and business requirements through close stakeholder collaboration with the AI Office
  • Own and prioritize the product backlog based on value, goals, capacity, and ROI, emphasizing paired data scientist/engineer work
  • Manage the AI initiative pipeline, balancing near-term delivery with long-term strategy and early production integration
  • Write, decompose, and accept Epics as the primary unit of value; partner with the team to create high-quality User Stories
  • Drive delivery outcomes by monitoring product performance, using data insights to improve deployment speed, maintainability, and quality
  • Manage stakeholder expectations and budgets by balancing priorities with feasibility, advocating collaborative development to maximize value

Skills, Experience and Requirements
Education and Experience:
  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • 4+ years in product management, ideally on data-driven/AI/ML solutions

Skills and Qualifications:
  • Strong understanding of agile/scrum, including paired programming principles
  • Experience building machine learning and deep learning based software applications
  • 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
  • Experience with cloud stack (AWS, GCP or Azure)
  • Experience with AI/ML, Generative AI and Agentic AI awareness
  • Certification in agile methodologies such as Certified Scrum Product Owner (CSPO) preferred

Visa sponsorship not available for this role
Salary Ranges
Compensation: $96,250.00/Year - $137,500.00/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: EchoStar 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.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement , Pay Transparency , EEOC Know Your Rights ( English / Spanish )

Skills Required

  • Bachelor's degree in computer science, Information Systems, or a related field
  • 4+ years in product management focusing on data-driven/AI/ML solutions
  • 3+ years of industry experience building machine learning and deep learning applications
  • Certification in agile methodologies such as Certified Scrum Product Owner (CSPO)

EchoStar Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EchoStar and has not been reviewed or approved by EchoStar.

  • Retirement Support A 401(k) with employer matching and discretionary profit sharing is highlighted as part of total rewards. Feedback suggests these programs add long‑term value beyond base pay.
  • Equity Value & Accessibility An employee stock purchase plan with a discounted share price is emphasized as broadly available. Feedback suggests this makes ownership more attainable for many employees.
  • Wellbeing & Lifestyle Benefits Everyday service discounts and mental‑health support through counseling sessions are included. Feedback suggests these perks enhance day‑to‑day value and support wellbeing.

EchoStar Insights

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The Company
HQ: Englewood, CO
14,500 Employees
Year Founded: 1980

What We Do

Tune into the innovation, collaboration and culture that our team members bring to the office every day. We want you to be a part of our journey to build the next generation of technology that transforms the way the world communicates. Our team members are the key to our history of groundbreaking innovation and our continued progress. If you bring an inquisitive curiosity, a sense of pride in your work, an openness to adventure and a drive to win, we’ll provide the structure to take the next step in your career. This is more than just another job, this is your launchpad to achieve your potential and a community dedicated to your growth.

Why Work With Us

At EchoStar, we work to create opportunity and cultivate an environment where people thrive. Between our brands, our partners, our teams and our customers, the opportunities are endless. Get started on your next career adventure with EchoStar!

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