{"id":4275969,"url":"https://alion.io/job/echostar-ai-optimization-program-manager-dish-beta-team","title":"AI Optimization Program Manager – DISH Beta Team","company":{"id":1846584,"name":"EchoStar","domain":"echostar.com","url":"https://alion.io/company/echostar","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":null},"role":"Management","role_family":"Management","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Englewood, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":72350,"max":103400,"currency":"USD","period":"year","gross":null,"usd_annual":103400},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airtable","optional":false},{"name":"Claude Code","optional":false},{"name":"Jira","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Power BI","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Streamlit","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-13T18:53:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T18:56:55Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nWhat Success Looks Like (Objectives):\nBuild AI-driven automation platforms and pipelines tailored specifically for DISH Beta testing and product quality validation workflows\nLeverage test automation tools like Witbe and PyTest alongside modern AI capabilities to build, execute, and optimize automated test scenarios across devices and applications\nLeverage advanced agentic coding platforms such as Kiro, Claude Code, and Codex to build, optimize, and scale production-grade AI automation pipelines\nDevelop predictive performance and quality models to evaluate device telemetry, test logs, and beta feedback signals\nArchitect live interactive dashboards that consolidate decentralized beta testing data and automate executive reporting on release readiness\nDesign, build, and deploy production-grade AI systems utilizing Model Context Protocol (MCP) and custom agent skills within multi-agent loops\nCore Skills, Competencies, and Key Experiences (What you’ll bring)\nExperience in using Python for developing AI/ML pipelines, test automation scripts, API integrations, and data processing workflows\nHands-on proficiency with automated testing and monitoring tools such as Witbe and PyTest\nDemonstrated AI application expertise in building, integrating, and securing LLM platforms, vector databases, and RAG architectures\nStrong data interpretation and visualization skills to build live dashboards using Power BI, Tableau, Streamlit, or custom web frameworks\nPredictive and quantitative analytics capability to analyze test results, telemetry, and system stability trends\nAdditional Qualifications:\nExperience with project management and issue-tracking platforms like Jira and Airtable\nFamiliarity with video/telecom testing environments, set-top boxes, or mobile application beta programs\nCandidates must be willing to participate in at least one in-person interview.\nVisa sponsorship not available for this position.\nMinimum Requirements:\nMinimum Education:Bachelor’s degree in Computer Science or equivalent practical experience\nMinimum Experience:1-3 years experience in AI/ML pipeline development, test automation engineering, and predictive analytics\nRequired Technical Skills:Must have experience with:\nPython programming for AI/ML pipelines and test automation scripts\nAutomated testing platforms such as Witbe or PyTest\nLLM platform integration, vector databases, and RAG architectures\nSalary Range\nCompensation: $72,350.00/Year - $103,400.00/Year\nAbout Our Department\nBeyond 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.\nAbout Our Company\nEchoStar 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.\nToday, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.\nBenefits\nWe 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\nThe 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.\nCandidates 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.\nThis job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled.\nWe 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.\nEchoStar 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  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. If you have questions regarding your application or the recruitment process please email . \nClick the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English / Spanish)\nBuild AI-driven automation platforms and pipelines tailored specifically for DISH Beta testing and product quality validation workflows\nLeverage test automation tools like Witbe and PyTest alongside modern AI capabilities to build, execute, and optimize automated test scenarios across devices and applications\nLeverage advanced agentic coding platforms such as Kiro, Claude Code, and Codex to build, optimize, and scale production-grade AI automation pipelines\nDevelop predictive performance and quality models to evaluate device telemetry, test logs, and beta feedback signals\nArchitect live interactive dashboards that consolidate decentralized beta testing data and automate executive reporting on release readiness\nDesign, build, and deploy production-grade AI systems utilizing Model Context Protocol (MCP) and custom agent skills within multi-agent loops\nExperience in using Python for developing AI/ML pipelines, test automation scripts, API integrations, and data processing workflows\nHands-on proficiency with automated testing and monitoring tools such as Witbe and PyTest\nDemonstrated AI application expertise in building, integrating, and securing LLM platforms, vector databases, and RAG architectures\nStrong data interpretation and visualization skills to build live dashboards using Power BI, Tableau, Streamlit, or custom web frameworks\nPredictive and quantitative analytics capability to analyze test results, telemetry, and system stability trends\nAdditional Qualifications:\nExperience with project management and issue-tracking platforms like Jira and Airtable\nFamiliarity with video/telecom testing environments, set-top boxes, or mobile application beta programs\nCandidates must be willing to participate in at least one in-person interview.\nVisa sponsorship not available for this position.\nMinimum Requirements:\nMinimum Education:Bachelor’s degree in Computer Science or equivalent practical experience\nMinimum Experience:1-3 years experience in AI/ML pipeline development, test automation engineering, and predictive analytics\nRequired Technical Skills:Must have experience with:\nPython programming for AI/ML pipelines and test automation scripts\nAutomated testing platforms such as Witbe or PyTest\nLLM platform integration, vector databases, and RAG architectures","description_format":"text","description_chars":9042,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Satellite Communications","Internet Service Providers","Mobile 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