Senior UX Designer / Scrum Master - CHEC

📍 Job Overview

Job Title: Senior UX Designer / Scrum Master - CHEC

Company: Daimler Truck AG

Location: Portland, OR, United States / Fort Mill, SC, United States

Job Type: Full time

Category: User Experience (UX) Design / Agile Project Management

Date Posted: 2026-07-24

Experience Level: 7+ years

Remote Status: Hybrid (4 days in-office, 1 day remote)

🚀 Role Summary

• This hybrid role, approximately 70% UX Design and 30% Scrum Master, is critical for enhancing the user experience and Agile development practices of the Custom Hardware and Electronics Configurator (CHEC) platform.

• The position demands ownership of end-to-end UX for a complex, safety-relevant web application used by Truck Equipment Manufacturers (TEMs), dealers, and internal teams, focusing on intuitive workflows for intricate configuration tasks.

• As Scrum Master, the role will facilitate Agile ceremonies, partner with Product Owners for backlog refinement, and drive continuous improvement within the CHEC Dev/Ops team.

• A core competency is AI fluency, requiring daily leverage of AI tools for research, ideation, and design workflows, including AI-assisted prototyping and design.

📝 Enhancement Note: This role is a unique blend of deep UX design expertise and Agile leadership, specifically within a technically complex, safety-critical enterprise software environment. The emphasis on AI fluency and its integration into daily workflows signifies a forward-thinking approach to product development within Daimler Truck AG.

📈 Primary Responsibilities

• UX Strategy & Design:

  • Own the end-to-end user experience (UX) strategy and execution for the CHEC web application.
  • Design intuitive and efficient workflows for complex configuration tasks, including logic creation, PTO setup, dash switch, and gauge layouts.
  • Develop wireframes, interaction models, user flows, and high-fidelity prototypes to communicate design concepts effectively.
  • Establish and maintain a library of reusable UX patterns and safety-oriented design standards to ensure consistency and compliance.
  • Conduct comprehensive usability testing with internal users, dealers, and TEMs to gather feedback and iterate on designs.

• AI Integration in UX:

  • Leverage AI tools (e.g., Claude, ChatGPT) to accelerate UX research synthesis, persona development, and ideation processes.
  • Explore and integrate AI-assisted prototyping and design tools to significantly increase iteration speed and design exploration.
  • Develop foundational prompt engineering skills to craft effective prompts for research synthesis, content generation, and design exploration.
  • Critically evaluate AI-generated outputs and refine them to meet high UX quality standards and project requirements.

• Agile Facilitation & Scrum Master Duties:

  • Serve as the primary Scrum Master for the CHEC Dev/Ops team, fostering an Agile mindset and practices.
  • Facilitate core Agile ceremonies, including Sprint Planning, Daily Standups, Sprint Reviews, and Retrospectives.
  • Partner closely with Product Owners to refine backlog items, user stories, and acceptance criteria, ensuring clarity and alignment.
  • Identify, track, and help remove impediments that hinder team delivery and progress.
  • Promote Agile best practices and drive continuous improvement initiatives within the team.
  • Ensure transparency on team progress, risks, and dependencies to stakeholders.

• Engineering Collaboration & Implementation:

  • Partner closely with React/.NET engineers to ensure high-quality implementation of UX designs, maintaining design integrity from concept to delivery.

  • Champion the adoption of AI-augmented development practices across the engineering team to enhance efficiency and innovation.

📝 Enhancement Note: The dual nature of this role (UX Design + Scrum Master) requires a candidate who can seamlessly transition between strategic design thinking and tactical Agile facilitation. The explicit mention of specific AI tools and prompt engineering underscores the company's commitment to cutting-edge technology adoption, a key differentiator for candidates.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Software Engineering, Human-Computer Interaction, Design, or a related field. Experience:

• Minimum of 7+ years of dedicated UX design experience, with a strong focus on complex enterprise or technical web applications.

• Proven hands-on experience working within Agile and Scrum development teams, demonstrating a deep understanding of Agile principles and practices. Required Skills:

• UX Design Expertise:

  • Exceptional interaction design and information architecture skills for complex systems.
  • Proficiency in creating wireframes, user flows, interaction models, and high-fidelity prototypes.
  • Experience conducting and synthesizing usability testing with diverse user groups.
  • Ability to establish and maintain design systems, UX patterns, and style guides.

• Agile & Scrum Proficiency:

  • Strong facilitation and communication skills essential for leading Agile ceremonies.
  • Experience in backlog refinement, sprint planning, and impediment removal.
  • Demonstrated ability to promote Agile best practices and foster continuous improvement.

• AI Fluency & Tools:

  • Demonstrated proficiency with AI-assisted design and research tools (e.g., Claude, ChatGPT, Midjourney, Figma AI features).
  • Foundational prompt engineering skills for effective AI interaction in research, content generation, and design exploration.
  • Ability to critically evaluate and refine AI-generated outputs for UX quality and project relevance.

• Technical Collaboration:

  • Experience partnering with engineering teams (specifically React/.NET) to ensure design implementation accuracy. Preferred Skills:

• Prior experience serving formally as a Scrum Master or Agile Coach.

• Experience with configuration tools, complex engineering domains, or safety-relevant systems.

• Familiarity with React-based design systems and component libraries.

• Scrum Master certification (CSM, PSM I, or equivalent).

• Experience using AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) to support design-to-development handoff.

• A track record of integrating AI tools into UX workflows to measurably accelerate research and design delivery.

• Familiarity with prompt design principles for user-facing AI features.

📝 Enhancement Note: The requirement for "foundational prompt engineering skills" and the ability to "critically evaluate AI-generated outputs" indicates a sophisticated expectation for AI integration, moving beyond basic tool usage to strategic application and refinement.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• UX Design Case Studies: Demonstrate end-to-end UX process for at least two complex enterprise or technical web applications. Highlight problem definition, user research, ideation, wireframing, prototyping, usability testing, and final design solutions.

• Process Optimization Examples: Showcase specific instances where your UX designs led to measurable improvements in user efficiency, task completion rates, or reduction in errors within complex workflows. Quantify impact where possible.

• AI Integration Showcase: Include examples of how AI tools were used to accelerate specific parts of the UX process (e.g., research synthesis, persona generation, ideation, content creation). Detail the prompts used and the impact on speed or quality.

• Agile Workflow Representation: If possible, include examples of how you have contributed to or facilitated Agile ceremonies, backlog refinement, or impediment resolution within a team context. Visual aids like sprint burndown charts or retrospective summaries can be beneficial.

Process Documentation:

• Workflow Design: Provide examples of detailed user flow diagrams or process maps for complex configuration tasks, illustrating logical decision points and user pathways.

• Design Standards: Showcase examples of established UX patterns, style guides, or design principles, particularly those related to safety-critical or high-complexity domains.

• AI Tool Integration Strategy: Briefly outline a hypothetical strategy for integrating AI tools into a UX workflow, detailing the tools, their purpose, and expected benefits.

📝 Enhancement Note: Given the emphasis on AI and Agile, candidates should prepare to discuss not just the "what" but the "how" and "why" behind their process choices. Demonstrating an understanding of how AI can enhance Agile workflows will be key.

💵 Compensation & Benefits

Salary Range:

• The starting salary range for this position is $117,000 – $150,000 USD per year.

• The final pay will be determined based on the candidate's demonstrated knowledge, skills, and experience relevant to the role's requirements. Benefits:

• Financial:

  • Annual bonus program.
  • 401k retirement plan with a company contribution: company match up to 6%, plus a non-elective company contribution of 3-7% depending on age.

• Time Off:

  • Starting at 4 weeks of paid vacation annually.
  • 13+ paid calendar holidays.
  • 8 weeks of paid parental leave.
  • Volunteer paid time off.

• Health & Wellness:

  • Comprehensive healthcare plans.
  • Wellness programs to support employee health.
  • Employee assistance program (EAP) for confidential support.
  • Onsite fitness facilities available at select locations.

• Professional Development:

  • Tuition assistance for continued education.

• Insurance:

  • Short-term and long-term disability plans to provide income protection. Working Hours:

• Standard full-time working hours are assumed to be approximately 40 hours per week.

• The position operates on a hybrid schedule, requiring 4 days per week in the office and 1 day remote. This schedule is designed to foster team collaboration and culture.

📝 Enhancement Note: The salary range is competitive for a senior-level role blending UX and Scrum Master responsibilities, especially within the automotive/heavy industry sector. The benefits package is comprehensive, reflecting a commitment to employee well-being and financial security.

🎯 Team & Company Context

🏢 Company Culture

Industry: Automotive Manufacturing & Technology (Heavy Trucks)

Company Size: Large Enterprise (Daimler Truck AG is a global leader)

Founded: Daimler Truck AG was established as an independent company in December 2021, spinning off from Daimler AG. However, its roots and legacy in truck manufacturing extend back decades.

Team Structure:

• The CHEC (Custom Hardware and Electronics Configurator) team is a dedicated Dev/Ops unit responsible for a critical internal web-based tool.

• The team likely comprises a mix of software engineers (React/.NET), Product Owners, QA specialists, and now this hybrid UX Designer/Scrum Master role.

• Reporting structure will likely be within a broader engineering or product development division, with this role reporting to a UX Lead or Engineering Manager. Methodology:

• Agile Development: The team operates using Agile/Scrum methodologies, emphasizing iterative development, continuous feedback, and cross-functional collaboration.

• AI-Augmented Workflows: There's a strong push to integrate AI tools for research, ideation, design, and potentially development, aiming to accelerate processes and enhance innovation.

• User-Centric Design: Despite the technical nature of the tool, there's a clear focus on user experience, involving direct user research and testing with TEMs, dealers, and internal stakeholders.

• Safety-Critical Focus: The domain requires a high degree of precision, correctness, and adherence to safety standards in all design and development decisions.

Company Website: https://www.daimlertruck.com/

📝 Enhancement Note: Daimler Truck AG's recent spin-off marks a strategic focus on its core commercial vehicle business. The CHEC team's role in enabling configuration for complex vehicle electronics highlights its importance in the product lifecycle. The emphasis on AI integration suggests a culture that embraces technological advancement and efficiency.

📈 Career & Growth Analysis

Operations Career Level:

• This is a Senior-level individual contributor role, blending specialized UX design expertise with Agile leadership. It sits at a crucial intersection of product development, user advocacy, and process optimization within a technical domain.

• The role requires strategic thinking for UX vision and tactical execution for Agile facilitation, indicating a high degree of responsibility and autonomy. Reporting Structure:

• The Senior UX Designer / Scrum Master will likely report to a Manager or Director overseeing Product Development, UX Design, or Engineering for the CHEC platform.

• They will work closely with Product Owners, engineering teams, and potentially stakeholders from TEMs, dealerships, and internal business units. Operations Impact:

• The CHEC platform is integral to the sales and customization process for truck equipment. By improving its usability and efficiency, this role directly impacts the speed and accuracy of vehicle configurations, influencing sales cycles, order fulfillment, and customer satisfaction.

• Effective UX design can reduce errors in complex configurations, which has safety and compliance implications in the automotive industry.

• Strong Scrum Master facilitation leads to more predictable delivery cycles, improved team morale, and higher quality output, all crucial for maintaining a competitive edge in a rapidly evolving industry. Growth Opportunities:

• UX Specialization: Deepen expertise in complex configuration UX, safety-critical design, or AI-powered design tools, potentially leading to Principal or Lead UX Designer roles.

• Agile Leadership: Transition into a dedicated Scrum Master, Agile Coach, or Product Owner role, focusing on scaling Agile practices across broader teams or initiatives.

• Technical Domain Expertise: Develop deeper knowledge of truck electronics, vehicle configuration, and related engineering domains, becoming a subject matter expert within the CHEC or similar product areas.

• Management Track: With demonstrated leadership and cross-functional influence, potential to move into management roles overseeing UX teams or development pods.

• AI Innovation: Become a champion for AI integration, potentially leading initiatives to explore and implement new AI-driven solutions within product development workflows.

📝 Enhancement Note: The dual nature of the role offers diverse growth paths. Candidates can lean into either UX or Agile leadership, or continue to cultivate both, becoming a highly valuable hybrid professional. The company's focus on AI presents a unique opportunity for early adoption and leadership in this emerging field.

🌐 Work Environment

Office Type:

• The role is designated as Hybrid, requiring 4 days per week in the office and 1 day remote. This indicates a collaborative office environment designed to foster team interaction and in-person synergy. Office Location(s):

• The position is open to applicants in Portland, OR, and Fort Mill, SC. Relocation assistance is not provided, so candidates must be willing to work from one of these locations. Workspace Context:

• Collaborative Spaces: The office environment likely includes collaborative zones, meeting rooms, and potentially dedicated areas for UX design and Agile ceremonies, supporting the #OneTeamBestTeam culture.

• Technology: Access to standard office technology, high-speed internet, and potentially specialized design software and hardware will be available. The team actively uses AI tools, suggesting robust digital infrastructure.

• Team Interaction: The hybrid model emphasizes in-person collaboration for 4 days a week, facilitating direct engagement with engineers, Product Owners, and other team members for design reviews, sprint planning, and problem-solving sessions.

Work Schedule:

• The hybrid schedule (4 days in-office, 1 day remote) is the primary work arrangement. This structure aims to balance the benefits of in-person collaboration with the flexibility of remote work. Standard full-time hours (approx. 40 hours/week) are expected, with potential for occasional flexibility around critical deadlines or events.

📝 Enhancement Note: The emphasis on "in-person collaboration" and the "#OneTeamBestTeam culture" suggests that candidates who thrive in a team-oriented, office-centric environment will be a good fit, even with the single remote day.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess qualifications, experience, and alignment with the hybrid UX/Scrum role.

• Hiring Manager Interview: A discussion focused on your UX design philosophy, experience with complex systems, and understanding of Agile principles. Questions about AI tool usage and prompt engineering will be key.

• Technical/Portfolio Review: A deep dive into your portfolio, where you'll present case studies demonstrating your UX process, problem-solving skills, and impact. This may involve presenting specific examples of how you've used AI in your work.

• Agile/Scrum Interview: An interview focused on your experience as a Scrum Master, facilitation skills, and approach to Agile coaching and continuous improvement. You might be asked to walk through hypothetical scenarios.

• Team/Cross-Functional Interview: An opportunity to meet potential team members and discuss collaboration styles, cultural fit, and how you integrate UX and Agile practices within a team.

• Final Interview: Potentially with a senior leader to discuss strategic alignment, long-term vision, and overall fit with Daimler Truck AG's objectives.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 strong case studies that best represent your end-to-end UX process on complex enterprise applications. Ensure at least one highlights your experience with AI tools.

• Structure for Impact: For each case study, clearly articulate the problem, your role, the process you followed (including UX and Agile aspects), the solutions you designed, and the measurable outcomes or impact. Use the STAR method (Situation, Task, Action, Result).

• Quantify Results: Whenever possible, use data and metrics to demonstrate the success of your designs (e.g., "reduced configuration time by 15%," "improved task completion rate by 20%").

• Showcase AI Integration: Explicitly detail how you used AI tools, what prompts you employed, and how they enhanced your workflow (e.g., faster research synthesis, more diverse ideation). Be prepared to discuss the limitations and ethical considerations of AI-generated content.

• Highlight Agile Contribution: If your case studies involved Agile teams, describe your role in sprint planning, retrospectives, or backlog refinement. If you have specific Scrum Master experience, be ready to articulate your facilitation approach.

• Presentation Readiness: Be prepared to present your portfolio digitally and speak confidently about your work, design decisions, and problem-solving approaches. Practice your narrative.

Challenge Preparation:

• Expect potential case studies or design challenges that require you to think through a complex configuration problem, design a workflow, or outline an Agile process improvement.

• Focus on demonstrating your ability to break down complex problems, apply UX principles, leverage AI for ideation or research, and think about implementation feasibility within an Agile framework.

• Be ready to articulate your thought process clearly and justify your decisions, especially regarding AI tool usage and its integration into the design and development lifecycle.

📝 Enhancement Note: The interview process is designed to thoroughly assess both your UX design acumen and your Agile leadership capabilities, with a significant emphasis on your practical experience and strategic thinking regarding AI integration. A well-prepared, data-driven portfolio is crucial.

🛠 Tools & Technology Stack

Primary Tools:

• UX Design & Prototyping: Figma (highly probable, given its industry prevalence), Sketch, Adobe XD. Proficiency in creating wireframes, high-fidelity mockups, and interactive prototypes.

• AI Design & Research Tools: Claude, ChatGPT, Midjourney (explicitly mentioned), potentially others like Perplexity AI for research synthesis. Familiarity with their capabilities for accelerating research, ideation, persona development, and content generation.

• AI Prototyping/Design Tools: Exploration of AI features within design software (e.g., Figma AI) or specialized AI prototyping tools.

• AI Coding Assistants: GitHub Copilot, Cursor, Claude Code (mentioned as preferred) – for understanding design-to-development handoff and potentially assisting in design implementation discussions.

Analytics & Reporting:

• While not explicitly stated for this role, experience with web analytics tools (e.g., Google Analytics, Adobe Analytics) for understanding user behavior and measuring UX impact would be beneficial.

• Familiarity with dashboarding tools (e.g., Tableau, Power BI) for visualizing UX metrics and performance trends. CRM & Automation:

• Project Management/Agile Tools: Jira, Confluence (highly probable for Agile ceremonies, backlog management, and documentation).

• Development Platforms: Experience with or understanding of React (front-end) and .NET (back-end) frameworks is essential for effective collaboration with engineers.

📝 Enhancement Note: The explicit mention of AI tools like Claude, ChatGPT, and Midjourney, alongside prompt engineering skills, is a critical requirement. Candidates should be prepared to discuss their practical experience with these tools and how they integrate them into their design and research workflows.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Integration: A core value likely involves embracing cutting-edge technology, particularly AI, to drive efficiency, accelerate processes, and foster innovation in product development.

• User-Centricity: A commitment to understanding and serving the needs of users (TEMs, dealers, internal teams) through thoughtful design and continuous feedback.

• Quality & Precision: Given the safety-relevant nature of the domain, there's a strong emphasis on accuracy, correctness, and delivering high-quality, reliable solutions.

• Collaboration & Teamwork: The "#OneTeamBestTeam" culture emphasizes strong collaboration, open communication, and mutual support, both within the immediate team and across departments.

• Continuous Improvement: A dedication to Agile principles, constantly seeking ways to optimize processes, enhance delivery, and improve team performance.

• Efficiency: A drive to streamline workflows, reduce waste, and maximize productivity, often through process optimization and the adoption of new tools and methodologies.

Collaboration Style:

• Cross-Functional Integration: This role is central to bridging UX design and engineering, requiring close collaboration with Product Owners, developers, and potentially QA.

• Agile Cadence: Collaboration occurs within the structured rhythm of Agile sprints, involving regular ceremonies and ad-hoc problem-solving sessions.

• Feedback Loops: An open culture of providing and receiving constructive feedback on designs, process improvements, and team dynamics.

• Knowledge Sharing: Encouragement of sharing best practices, learnings from AI tool usage, and insights from user research across the team.

📝 Enhancement Note: The company's emphasis on AI integration and its "One Team, Best Team" culture suggests a highly collaborative environment where individuals are encouraged to share knowledge and drive innovation together, particularly around new technologies.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing UX and Scrum: Effectively managing the dual responsibilities of UX design ownership and Scrum Master facilitation, ensuring neither is compromised.

• Complex Domain: Navigating the intricate logic and safety-critical requirements of vehicle electronics configuration requires deep focus and meticulous design.

• AI Integration Maturity: Successfully embedding AI tools into established workflows requires not only technical fluency but also change management and the ability to guide team adoption.

• Cross-Functional Alignment: Ensuring consistent understanding and buy-in on UX vision and Agile processes across diverse stakeholder groups.

• Iterative Design in a Regulated Environment: Balancing rapid iteration with the need for thorough validation and adherence to safety standards.

Learning & Development Opportunities:

• Advanced AI Prompt Engineering: Opportunities to hone skills in crafting sophisticated prompts for complex design and research tasks, potentially leading to specialization in AI-driven product development.

• UX for Complex Systems: Deepen expertise in designing for highly technical, logic-intensive applications, a valuable niche skill.

• Agile Coaching: Develop advanced facilitation and coaching skills, with potential for Scrum Master certification or further Agile training.

• Industry-Specific Knowledge: Gain in-depth understanding of the automotive manufacturing sector, particularly truck equipment configuration and safety standards.

• Leadership Development: Opportunities to mentor junior designers or Agile practitioners, and potentially take on leadership roles in future projects or initiatives.

📝 Enhancement Note: The challenges presented are directly tied to the unique hybrid nature of the role and the company's forward-thinking approach to AI. These challenges are framed as opportunities for significant professional growth and skill development.

💡 Interview Preparation

Strategy Questions:

• UX Strategy: "Describe your process for developing an end-to-end UX strategy for a complex enterprise application like CHEC. How would you prioritize features and workflows?"

  • Preparation: Focus on user research, journey mapping, defining UX goals aligned with business objectives, and iterative design.

• AI Integration: "How have you used AI tools (like Claude, ChatGPT, Midjourney) in your UX design process? Can you provide a specific example of a prompt you used and the resulting output and impact?"

  • Preparation: Prepare 1-2 detailed examples. Discuss prompt engineering techniques, how you validated AI outputs, and how it accelerated your work.

• Agile Facilitation: "How would you facilitate a Sprint Retrospective for a team that is new to AI-augmented development? What challenges might arise, and how would you address them?"

  • Preparation: Discuss common retrospective formats, techniques for encouraging open feedback, and strategies for addressing resistance or skepticism towards new technologies.

• Problem Solving: "Imagine a user is struggling to configure a specific complex electrical feature. Walk us through how you would diagnose the UX problem and what design solutions you might propose."

  • Preparation: Demonstrate a structured approach: user research, identifying pain points, ideation, prototyping, and testing. Company & Culture Questions:

• "What interests you most about working at Daimler Truck AG and specifically on the CHEC platform?"

  • Preparation: Research DTNA's mission, recent innovations, and the importance of configuration tools in the commercial vehicle industry. Connect your skills to their goals.

• "How do you see AI impacting the future of UX design and Agile development in the automotive industry?"

  • Preparation: Show you've thought critically about AI's role beyond just tool usage, considering its strategic implications.

• "Describe your ideal collaboration style within a hybrid, Agile team."

  • Preparation: Emphasize communication, proactivity, and adaptability to both in-office and remote dynamics. Portfolio Presentation Strategy:

• Tell a Story: Frame each case study as a narrative: the challenge, your approach, the solutions, and the results.

• Highlight the Hybrid Nature: Explicitly point out where your UX skills and Scrum Master/Agile facilitation skills intersected or supported each other within a project.

• Demonstrate AI Value: Clearly call out the specific AI tools used, the prompts, and the tangible benefits (e.g., speed, depth of insight, novel ideas). Show critical evaluation of AI outputs.

• Focus on Impact: Quantify results wherever possible. If quantitative data isn't available, focus on qualitative improvements and user feedback.

• Be Prepared for Technical Questions: Anticipate questions about the technical feasibility of your designs, especially concerning React/.NET integration.

📝 Enhancement Note: Be ready to articulate the synergy between UX design and Agile Scrum mastery, and how AI tools enhance both. Demonstrating a strategic, critical, and hands-on approach to AI integration will be a significant advantage.

📌 Application Steps

To apply for this Senior UX Designer / Scrum Master position:

• Submit your application through the Daimler Truck North America careers portal via the provided URL.

• Portfolio Customization: Tailor your portfolio to highlight your experience with complex enterprise web applications, your end-to-end UX design process, and specifically, your practical application of AI tools in design and research. Ensure case studies showcase measurable impact.

• Resume Optimization: Update your resume to prominently feature keywords related to UX design, interaction design, information architecture, Agile, Scrum Master, AI tools (Claude, ChatGPT, Midjourney), prompt engineering, wireframing, prototyping, and ideally, experience with React or .NET environments. Quantify achievements where possible.

• Interview Preparation: Practice articulating your UX design philosophy, your approach to Agile facilitation, and specific examples of how you've integrated AI into your workflow. Prepare to present your portfolio confidently and answer scenario-based questions.

• Company Research: Thoroughly research Daimler Truck AG, its product lines (especially commercial vehicles), its commitment to technology and sustainability, and its stated culture (#OneTeamBestTeam). Understand the significance of the CHEC platform within the organization.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.