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<source>
  <jobs>
    <job>
      <externalid>ed8f9a5d-ec1</externalid>
      <Title>Director, Mission Control</Title>
      <Description><![CDATA[<p>Shield AI is seeking a Director of Mission Control to serve as the enterprise authority for fleet allocation, configuration posture, and operational prioritization across all Aircraft Division product lines.</p>
<p>Mission Control is responsible for ensuring aircraft, ranges, and operational resources are allocated in alignment with enterprise priorities, contractual obligations, revenue objectives, and mission readiness requirements. This role serves as the authoritative arbiter of competing fleet demands, balancing customer commitments, test requirements, training events, deal capture activities, and long-term technology roadmap objectives.</p>
<p>The Director will maintain the enterprise fleet ledger, supervise configuration posture decisions, validate operational requirements, and oversee range allocation and mission approval processes. This role requires deep understanding of Shield AI&#39;s business model, contract structures, market dynamics, aircraft configurations, and cross-functional interdependencies. Decisions made within Mission Control carry significant operational and financial impact.</p>
<p>Responsibilities:</p>
<ul>
<li>Maintain the enterprise fleet ledger</li>
<li>Supervise configuration posture decisions</li>
<li>Validate operational requirements</li>
<li>Oversee range allocation and mission approval processes</li>
</ul>
<p>Required qualifications:</p>
<ul>
<li>Bachelor&#39;s degree in Aviation Management, Engineering, Business, Operations Research, or related field</li>
<li>12+ years of experience in aerospace, defense, aviation operations, program management, or enterprise resource allocation roles</li>
<li>Demonstrated experience making high-impact operational decisions with financial, contractual, or revenue implications</li>
<li>Deep understanding of aircraft operations, configuration management, and mission planning principles</li>
<li>Proven ability to balance competing enterprise priorities in high-tempo, high-stakes environments</li>
<li>Experience interfacing with senior leadership, program managers, business development teams, and operational leaders</li>
<li>Strong analytical and decision-making capabilities with the ability to synthesize operational, financial, and strategic inputs</li>
<li>Excellent communication skills, including the ability to adjudicate resource conflicts with clarity and authority</li>
<li>Experience developing governance structures, operational processes, and decision frameworks</li>
</ul>
<p>Preferred qualifications:</p>
<ul>
<li>Advanced degree (MBA, M.S. in Engineering Management, or related field)</li>
<li>Experience in fleet management, air operations centers, mission planning cells, or enterprise scheduling organizations</li>
<li>Prior military experience in aviation operations, air tasking orders (ATO), or operational command centers</li>
<li>Familiarity with revenue recognition models, government contract structures, and deal capture strategies</li>
<li>Experience supporting multi-product or multi-theater aircraft operations</li>
<li>Knowledge of range management, airspace coordination, and regulatory approval processes</li>
<li>Experience building enterprise dashboards, fleet tracking systems, or operational data tools</li>
</ul>
<p>Benefits:</p>
<ul>
<li>Pay within range listed + Bonus + Benefits + Equity (for full-time regular employees)</li>
<li>Pay within range listed above + temporary benefits package (for temporary employees)</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$160,000 - $250,000 a year</Salaryrange>
      <Skills>Aerospace, Defense, Aviation Operations, Program Management, Enterprise Resource Allocation, Configuration Management, Mission Planning, Analytical Decision-Making, Communication, Governance Structures, Operational Processes, Decision Frameworks, Fleet Management, Air Operations Centers, Mission Planning Cells, Enterprise Scheduling Organizations, Revenue Recognition Models, Government Contract Structures, Deal Capture Strategies, Multi-Product Aircraft Operations, Range Management, Airspace Coordination, Regulatory Approval Processes, Enterprise Dashboards, Fleet Tracking Systems, Operational Data Tools</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Shield AI</Employername>
      <Employerlogo>https://logos.yubhub.co/shield.ai.png</Employerlogo>
      <Employerdescription>Shield AI is a venture-backed deep-tech company founded in 2015, with a mission to protect service members and civilians with intelligent systems.</Employerdescription>
      <Employerwebsite>https://www.shield.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/shieldai/771c3e6b-d97a-40ea-889c-8512eafeeb1c</Applyto>
      <Location>Dallas</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>4f7c809a-d28</externalid>
      <Title>Praktikum Data Analytics &amp; Range Management</Title>
      <Description><![CDATA[<p>Opening. This role is part of our Data Analytics &amp; Range Management team, which is responsible for developing and implementing data-driven solutions to optimize our electric vehicle&#39;s range and performance.</p>
<p><strong>What you&#39;ll do</strong></p>
<p>As a Data Analytics &amp; Range Management intern, you will be responsible for:</p>
<ul>
<li>Planung, Durchführung und Nachbereitung von Versuchs- und Erprobungsfahrten zur Validierung und Datengenerierung</li>
<li>Entwicklung und Evaluation von Gesamtfahrzeugsimulation</li>
</ul>
<p><strong>What you need</strong></p>
<ul>
<li>Ein Studienplatz für Fahrzeugtechnik, Elektrotechnik, Maschinenbau, Informatik oder eines vergleichbaren Studiengangs mit entsprechendem Schwerpunkt (mindestens im 3. Semester oder im Gap Year zwischen Bachelor und Master)</li>
<li>Interesse an Machine Learning und Deep Learning Verfahren</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>entry</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Data Analytics, Range Management, Machine Learning, Deep Learning, Python, Matlab, Simulink</Skills>
      <Category>Engineering</Category>
      <Industry>Automotive</Industry>
      <Employername>Dr. Ing. h.c. F. Porsche AG</Employername>
      <Employerlogo>https://logos.yubhub.co/jobs.porsche.com.png</Employerlogo>
      <Employerdescription>Porsche is a renowned German luxury sports car manufacturer, known for its high-performance vehicles and innovative technology. The company has a rich history of innovation and a strong commitment to quality and performance.</Employerdescription>
      <Employerwebsite>https://jobs.porsche.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.porsche.com/index.php?ac=jobad&amp;id=18065</Applyto>
      <Location>Weissach</Location>
      <Country></Country>
      <Postedate>2026-02-04</Postedate>
    </job>
  </jobs>
</source>