Engineering Manager
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.
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 options.
Benefits: Comprehensive health, dental and vision insurance.
Posted July 31, 2026