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Digital & Tech Mgmt Sr Mgr

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: CBRE
Full Time position
Listed on 2026-05-17
Job specializations:
  • Software Development
    Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Senior Engineering Manager, Generative AI & Web Platforms

We are seeking a highly experienced and visionary Senior Engineering Manager to lead our talented software development teams focused on building cutting‑edge web applications and integrating advanced Generative AI capabilities. This role is for a hands‑on leader who can balance technical depth with strong people management skills, driving the delivery of high‑quality, scalable, and impactful products. You will play a pivotal role in shaping our technical strategy, fostering a culture of innovation, and ensuring seamless collaboration across engineering, product, and business stakeholders.

What

You’ll Do Team Leadership & Development
  • Lead, mentor, and inspire a team of software engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
  • Drive recruitment efforts to attract and retain top engineering talent.
Technical Strategy & Execution
  • Define and drive the technical roadmap and architecture for modern web applications built with Angular or React, ensuring scalability, performance, and maintainability.
  • Lead the exploration, integration, and development of Generative LLM API‑powered applications, leveraging models from Azure, Gemini, or other similar technologies to create innovative features and products.
  • Oversee the design, development, testing, deployment, and maintenance of software solutions, ensuring adherence to best practices and high‑quality standards.
  • Guide the team in leveraging cloud infrastructure (AWS, Azure, GCP) for optimal performance, cost‑efficiency, and reliability, including infrastructure setup, monitoring, and scaling.
SDLC & Agile Process Management
  • Champion and enforce best practices across the entire Software Development Life Cycle (SDLC), from requirements gathering and design to deployment and post‑launch support.
  • Implement and refine Agile methodologies (Scrum, Kanban) to ensure efficient project delivery, adaptability to changing requirements, and continuous value delivery.
  • Manage project timelines, resources, and risks, ensuring on‑time and on‑budget delivery of key initiatives.
Stakeholder & Business Communication
  • Act as a primary technical liaison between engineering, product management, design, and business owners/stakeholders.
  • Possess strong business owner communication skills, translating complex technical concepts into clear, concise, and actionable insights for non‑technical audiences.
  • Collaborate closely with product teams to define requirements, set realistic expectations, and ensure technical solutions align with business objectives.
  • Manage stakeholder expectations effectively, providing regular updates on project status, risks, and achievements.
Innovation & Quality Assurance
  • Stay abreast of emerging technologies, particularly in Generative AI, frontend frameworks, and cloud computing, and evaluate their potential application to our products.
  • Promote a culture of innovation, encouraging experimentation and continuous learning within the team.
  • Ensure the implementation of robust testing strategies and quality assurance processes to deliver highly reliable software.
What you’ll need
  • 10+ years of progressive experience in software development, with at least 5+ years in a leadership/management role managing engineering teams.
  • Proven track record of successfully delivering complex software products from conception to launch.
  • Technical Expertise:
  • Deep hands‑on experience with modern frontend frameworks, specifically Angular or React, including strong understanding of their ecosystems and best practices.
  • Demonstrated experience in integrating and building applications powered by Generative LLM APIs (e.g., OpenAI’s GPT models, Google Gemini APIs, or similar large language models).
  • Strong understanding of backend technologies (e.g., Node.js, Python, Java, Go) and API design principles.
  • Solid experience with cloud platforms (AWS, Azure, or GCP), including knowledge of compute, storage, networking, and database services. Experience with infrastructure‑as‑code (Terraform, Cloud Formation) is a plus.
Process & Methodologies
  • Expertise in SDLC best practices and a strong commitment to quality and…
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