Staff Product Manager – Data Monetization

The Staff Product Manager for Data Monetization at EchoStar will build and lead product strategy to increase data-supplement revenue by guiding customers toward timely data-pack purchases. The role partners across teams to drive ARPU and retention through experimentation, data science, and real-time customer messaging.

Key Responsibilities

• Design, run, and evaluate high-velocity A/B and multivariate tests across the customer lifecycle to pinpoint friction and improve the take-rate of data top-ups.
• Work with data science to implement targeted offers using user behavior signals, predictive analytics, and automated machine learning models.
• Own real-time communication strategy across SMS, push notifications, in-app banners, and emails to alert users at usage thresholds while maintaining balance between conversion and user experience.
• Define, monitor, and convert core KPIs such as ARPU, conversion rates, and retention into actionable insights for executive leadership.
• Develop and advocate business cases for new monetization product opportunities, coordinating with engineering, design, and data science through deployment.

Required Qualifications

• Experience driving growth, revenue, and product attach rates in high-transaction environments such as telecom, subscription services (SaaS), mobile gaming, or fintech.
• Strong expertise in A/B testing methodologies, growth experimentation frameworks, and behavioral economics.
• Ability to pursue revenue objectives while protecting a seamless, customer-centric experience that reduces the risk of bill shock.
• Proven communication and influence skills to align cross-functional teams and present clear narratives to executive leadership.
• AI literacy and experience applying predictive intelligence and data science models to automate personalization strategies.
• Minimum education: Bachelor’s Degree in Business, Computer Science, Economics, Mathematics, or a related field.
• Minimum experience: 7 years of Product Management experience.
• At least 3 years experience with A/B testing and growth experimentation platforms such as Optimizely, LaunchDarkly, or an equivalent tool.
• At least 3 years experience with data analytics and business intelligence tools such as SQL, Amplitude, Mixpanel, or Tableau.
• At least 3 years experience with lifecycle engagement and marketing automation systems such as Braze, Iterable, or custom triggering engines.
• Willingness to participate in at least one in-person interview.
• Visa sponsorship is not available for this role.

Technologies

• Optimizely
• LaunchDarkly
• SQL
• Amplitude
• Mixpanel
• Tableau
• Braze
• Iterable
• SMS
• Push notifications
• In-app banners
• Emails

Location

Littleton, CO (onsite)

Salary Range

USD 110,110 - 157,300 per year

Benefits

• Health perks including flexible spending accounts, HSA, and a 401(k) plan with company match.
• Employee stock purchase plan.
• Career opportunities.
• Flexible time away plan.

Application Screening and Interview

• Successful completion of a pre-employment screen is required, which may include a drug test and DMV check.
• Candidates must be willing to participate in at least one in-person interview.

EEO, Accessibility, and Accommodation

• 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 sincerely held religious beliefs of employees when accommodations do not pose undue hardship and are within applicable law.
• All qualified applicants with arrest or conviction records will be considered 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 application documents before submission and throughout the application process.
• EchoStar provides reasonable accommodation to otherwise qualified applicants and employees with known physical or mental disabilities, unless doing so poses undue hardship, poses a direct threat of substantial harm to others, or is otherwise not required by law.

For accessibility questions or help completing the application process, contact [email protected].

Job Posting Availability

This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled.