The AI Test Optimization Program Manager position addresses the challenge of modernizing and scaling DISH Beta testing and quality assurance workflows within the DISH Beta team. This role focuses on solving testing bottlenecks and delayed quality insights by designing, building, and operationalizing secure Generative AI models, predictive analytics, and real-time test automation pipelines. By transforming unstructured test telemetry, bug reports, and beta user feedback into actionable insights and automated test scripts, the position centralizes performance telemetry and enables proactive quality and reliability decision-making. Over time, these automated solutions will scale to enhance automated testing, device telemetry analysis, and user experience validation across DISH's product ecosystem.
What Success Looks Like (Objectives):- Build AI-driven automation platforms and pipelines tailored specifically for DISH Beta testing and product quality validation workflows
- Leverage test automation tools like Witbe and PyTest alongside modern AI capabilities to build, execute, and optimize automated test scenarios across devices and applications
- Leverage advanced agentic coding platforms such as Kiro, Claude Code, and Codex to build, optimize, and scale production-grade AI automation pipelines
- Develop predictive performance and quality models to evaluate device telemetry, test logs, and beta feedback signals
- Architect live interactive dashboards that consolidate decentralized beta testing data and automate executive reporting on release readiness
- Design, build, and deploy production-grade AI systems utilizing Model Context Protocol (MCP) and custom agent skills within multi-agent loops
Core Skills, Competencies, and Key Experiences (What you'll bring)- Experience in using Python for developing AI/ML pipelines, test automation scripts, API integrations, and data processing workflows
- Hands-on proficiency with automated testing and monitoring tools such as Witbe and PyTest
- Demonstrated AI application expertise in building, integrating, and securing LLM platforms, vector databases, and RAG architectures
- Strong data interpretation and visualization skills to build live dashboards using Power BI, Tableau, Streamlit, or custom web frameworks
- Predictive and quantitative analytics capability to analyze test results, telemetry, and system stability trends
Additional Qualifications:- Experience with project management and issue-tracking platforms like Jira and Airtable
- Familiarity with video/telecom testing environments, set-top boxes, or mobile application beta programs
Candidates must be willing to participate in at least one in-person interview.Visa sponsorship not available for this position.
Minimum Requirements:- Minimum Education: Bachelor's degree in Computer Science or equivalent practical experience
- Minimum Experience: 1-3 years experience in AI/ML pipeline development, test automation engineering, and predictive analytics
- Required Technical Skills: Must have experience with:
- Python programming for AI/ML pipelines and test automation scripts
- Automated testing platforms such as Witbe or PyTest
- LLM platform integration, vector databases, and RAG architectures
Salary RangeCompensation: $72,350.00/Year - $103,400.00/Year
About Our DepartmentBeyond connecting customers to their favorite entertainment, our Video Services team delivers an award-winning TV experience to millions of customers across DISH TV and Sling TV platforms. Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution of products and the constant enhancement of the overall customer experience.
About Our CompanyEchoStar 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.
BenefitsWe offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary 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.
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.