Senior Product Owner - AI & ML

DISH Network; Foster City (CA); On-site; USD 83,000 - 137,000; Full time

Job summary

An established industry player is seeking a Product Owner to lead AI initiatives within an agile delivery squad. This role emphasizes collaboration and prioritization, ensuring that technical teams align with business objectives. The ideal candidate will leverage their experience in data-driven solutions to manage product backlogs and drive improvements through data insights. Join a forward-thinking company that values innovation and teamwork, and play a crucial role in shaping the future of connectivity and technology solutions.

Benefits

Flexible Spending Accounts

Health Savings Account (HSA)

401(k) Plan with Company Match

Employee Stock Purchase Plan (ESPP)

Career Opportunities

Flexible Time Away Plan

Qualifications

• 5+ years as a product owner focusing on data-driven/AI/ML solutions.
• Strong understanding of agile/scrum and paired programming.

Responsibilities

• Define business needs via stakeholder collaboration for AI solutions.
• Prioritize product backlog based on value and goals.

Skills

Agile/Scrum

Stakeholder Management

Data-Driven Decision Making

Performance Metrics Analysis

Education

Bachelor's in Computer Science

Job 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 people play vital roles in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

The Product Owner champions the customer and business stakeholders, aligning technical teams with objectives within an agile AI delivery squad. They define business needs, prioritize the product backlog, and manage the AI initiative pipeline, emphasizing collaborative, paired development. The PO optimizes squad capacity for maximum value delivery.

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
• 5+ years of experience in product owner role, focusing on data-driven/AI/ML solutions, ideally in agile.

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.

Salary Ranges

Compensation: $83,160.00/Year - $136,625.00/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.

This will be posted for a minimum of 3 days or until the position is filled.

Education and Experience:

• Bachelor’s degree in computer science, Information Systems, or a related field
• 5+ years of experience in product owner role, focusing on data-driven/AI/ML solutions, ideally in agile.

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.

The Product Owner champions the customer and business stakeholders, aligning technical teams with objectives within an agile AI delivery squad. They define business needs, prioritize the product backlog, and manage the AI initiative pipeline, emphasizing collaborative, paired development. The PO optimizes squad capacity for maximum value delivery.

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.