Staff Product Manager – Data Monetization

EchoStar•Littleton, CO

About The Position

The Staff Product Manager – Data Monetization will maximize data-supplement revenue by guiding customers toward timely data-pack purchases. The role continuously optimizes user-journey friction points and pricing models to reduce churn and dissatisfaction, using data science, experimentation, and behavioral economics to turn usage thresholds into growth opportunities. It drives average revenue per user (ARPU) through autonomous, cross-functional leadership across engineering, design, and analytics. The role leads experimentation and targeted offers, owns real-time usage communications across customer channels, tracks monetization and retention performance, and develops business cases for new products. The position is part of EchoStar’s Retail Wireless team, which serves the Boost Mobile and Gen Mobile brands.

Requirements

At least 7 years of experience in Product Management.
At least 3 years of experience with A/B testing and growth experimentation platforms such as Optimizely, LaunchDarkly, or equivalent.
At least 3 years of experience with data analytics and business intelligence tools such as SQL, Amplitude, Mixpanel, or Tableau.
At least 3 years of experience with lifecycle engagement and marketing automation systems such as Braze, Iterable, or custom triggering engines.
Bachelor’s degree in Business, Computer Science, Economics, Mathematics, or a related field.
Willingness to participate in at least one in-person interview.

Nice To Haves

Critical experience driving growth, revenue, and product attach rates in high-transaction industries such as telecom, subscription services (SaaS), mobile gaming, or fintech.
Deep expertise in A/B testing methodologies, growth hacking frameworks, and behavioral economics.
Ability to balance aggressive revenue targets with a seamless, customer-centric user experience that avoids bill shock.
Exceptional communication and influence skills to drive alignment across cross-functional teams and deliver narratives to executive leadership.
AI literacy and experience applying predictive intelligence and data science models to automate personalization strategies.

Responsibilities

Design, execute, and analyze high-velocity A/B and multivariate tests across the customer lifecycle to identify friction points and maximize data top-up take rates.
Partner with data science to deliver targeted, contextual offers based on user behavior, predictive analytics, and automated machine learning models.
Own the real-time communication strategy across SMS, push notifications, in-app banners, and email to alert users about usage thresholds while balancing conversion and user experience.
Define, track, and translate core KPIs—including ARPU, conversion rates, and retention—into actionable performance insights for executive leadership.
Recommend and build business cases for new monetization products, collaborating with engineering, design, and data science to deploy them.