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Technical Manager, Software Engineering

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Visual Lease
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), DevOps, Full Stack Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 170000 - 258000 USD Yearly USD 170000.00 258000.00 YEAR
Job Description & How to Apply Below

Technical Manager, Software Engineering Job Description Overview

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers.

We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

Responsibilities
  • Lead an Agile software development team (approximately 5-7 people);
    Lead daily ceremonies;
    Deliver done-done features to customers at high velocity.
  • Act as a player-coach, who can mentor & coach highly productive team members.
  • Promote can-do attitude, engineering mindset and collaboration as fundamental team values.
  • Influence web application architecture and CI/CD pipeline improvements.
  • Drive continuous improvement by focusing on engineering excellence.
  • Champion the adoption of AI-assisted software development practices to improve developer productivity, code quality, platform reliability, and operational efficiency.
  • Leverage AI-powered monitoring, anomaly detection, replayability, and observability capabilities to improve system resiliency, incident response, root cause analysis, and customer experience.
  • Partner with engineering and product teams to identify opportunities for intelligent processes that reduce manual effort, accelerate research workflows, and improve operational effectiveness across CoStar platforms.
  • Lead teams in designing, implementing, and governing AI-powered solutions including skills, agents, tools, and workflow automations that enhance both internal productivity and customer-facing products.
  • Promote responsible AI adoption by ensuring solutions adhere to security, privacy, governance, and quality standards.
  • Drive initiatives that utilize machine learning and AI tooling to improve data quality, enrichment, validation, entity resolution, and data governance across enterprise data platforms.
  • Translate business requirements into technical requirements, develop project plan and work schedules for use by the development team.
  • Successfully implement software development projects to specification and within scheduled timelines and budget parameters.
  • Collaborate with Product Managers, Designers, and other Agile teams to deliver large initiatives;
    Develop roadmap.
  • Work with recruiters to identify, hire, and onboard top industry talent.
  • Develop and maintain an in-depth working knowledge of the Real Estate Industry and CoStar’s business model / technology.
  • Continually evaluate emerging technologies to identify opportunities, trends and best practices that can be used to strengthen CoStar’s technology platform and development practices.
  • Evaluate emerging AI technologies, models, frameworks, and agent-based architectures to identify strategic opportunities for innovation and competitive advantage.
  • Develop engineering roadmaps that incorporate AI capabilities into platform services, business processes, observability systems, and data quality initiatives.
  • Foster a culture of experimentation where teams measure and validate the effectiveness of AI-driven solutions through measurable business outcomes.
  • Adopt an owner-operator mindset and demonstrate full ownership of the product and technical platforms.
  • Act as "Voice of the Customer" when participating in product readiness reviews.
Basic Qualifications
  • Bachelor’s Degree required from an accredited, not for profit, in‑person university or college.
  • A track record of commitment to…
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