IT Engineering Manager

• Lead, grow, and retain multiple high-performing engineering teams spanning full-stack, data engineering, and AI/agentic AI builders.

• Own end-to-end delivery, quality, reliability, and operational health of cloud-native platforms across front-end, backend, data, and AI layers.

• Manage, mentor, and develop engineers and senior engineers; set clear goals, deliver performance reviews, and drive career growth.

• Own hiring end to end, building strong, diverse teams through effective recruiting, interviewing, onboarding, and workforce planning.

• Set and enforce engineering standards and best practices for architecture, code quality, testing, security, and deployment, including responsible use of AI-assisted development tools.

• Partner with product, design, data, and business leadership to translate strategy into scalable technical roadmaps and prioritized execution plans.

• Drive adoption of agentic AI, LLM tooling, and modern engineering practices to increase developer velocity and unlock new product capabilities.

• Provide architectural guidance and lead technical design reviews across full-stack, data engineering, and AI initiatives.

• Establish healthy Agile and delivery processes, metrics, and operational rigor, including planning, estimation, on-call, and incident management.

• Manage cross-team dependencies, risks, and coordination for complex, multi-quarter initiatives.

• Foster a culture of ownership, inclusion, technical excellence, and continuous learning.

• Communicate status, tradeoffs, and technical concepts clearly to both engineers and senior or executive stakeholders.

• Balance hands-on technical involvement with people leadership, remaining credible and close to the work while leading through others.

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred.

• 12+ years of experience in software or data engineering, including 4+ years directly managing engineering teams.

• Proven track record of building, scaling, and retaining high-performing engineering teams.

• Broad technical breadth across full-stack web development (JavaScript/TypeScript, React; backend languages such as C#, Node.js, or Java), data engineering (SQL, Python, cloud data platforms, ETL/ELT), and AI (LLM and agentic AI, RAG).

• Strong understanding of distributed systems, microservices, API design (REST/GraphQL), and cloud-native architecture (Azure, AWS, or GCP).

• Experience delivering data platforms and pipelines, with familiarity with data modeling, governance, and/or master data management (MDM) concepts.

• Hands-on familiarity building or integrating agentic AI and LLM-powered systems and orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, MCP).

• Strong grasp of CI/CD, infrastructure as code, and DevOps/DataOps practices.

• Excellent people leadership, communication, and stakeholder-management skills.

• Proven ability to drive delivery across multiple teams and influence technical direction across the organization.

Preferred Qualifications

• Experience managing managers or team leads within a multi-team organization.

• Experience leading teams that have shipped AI/ML or agentic AI products to production at scale.

• Experience with event-driven and streaming architectures and real-time data processing (e.g., Kafka, Event Hubs, Kinesis).

• Familiarity with containerization and orchestration (Docker, Kubernetes) and workflow orchestration (Airflow, Dagster, dbt).

• Prior experience in commercial real estate, fintech, or operations/transaction systems.

• Track record of speaking, writing, or open-source and community leadership, especially in applied AI.

Why Join Us?

• Lead and shape the technical direction of business-critical platforms at enterprise scale, spanning full-stack, data, and next-generation agentic AI initiatives.

• Build and grow a high-impact organization where ownership, innovation, and technical excellence drive success.

• Competitive compensation, growth opportunities, and access to world-class engineering, data, and AI resources.

• Collaborative Culture: Lead a high-caliber team with deep expertise across full-stack development, cloud, data engineering, and agentic AI.

• Growth & Learning: Access world-class learning resources and mentorship to advance your career and those of your team.

• Work-Life Balance: Flexible working hours and hybrid