Engineering Manager

If you are a collaborative leader who thrives in a fast-paced environment and is passionate about solving real business problems with cutting-edge AI, we want to hear from you.

• As the Engineering Manager for the Staff AI Enablement Team, you will lead the execution engine of our lean AI Engineering Hub. While our Tier 1 Platform Team builds foundational AI primitives, your team’s mission is Business Integration & Deep Automation
• You will partner directly with Compass’s highest-volume operations departments—such as Finance, Legal, HR, and Brokerage Operations—to build deep, programmatic AI workflows that streamline back-office operations and secure millions in operational savings
• You will manage a lean, agile, and high-performing squad consisting of core full-time Compass engineers and a flexible pool of strategic contractors. This is an execution-focused role where you will translate business needs into technical requirements, unblock development velocity, and ensure that our integrations are secure, performant, and built upon our centralized platform foundation
• Lead Execution:
  Own the day-to-day agile development processes of the enablement squad. Successfully prioritize deliverables, manage planning, and resolve blockers to maintain high team productivity
• Nurture and Develop Talent:
  Directly manage, mentor, and grow a hybrid team of full-time software engineers and contractors. Provide clear performance standards, support technical skill development, and guide career pathing
• Partner with Business Stakeholders:
  Collaborate closely with corporate departments to deeply understand their workflows, and translate ambiguous operational requests into clear, structured, and phased integration specifications
• Deliver on AI Automations:
  Lead the implementation of robust, testable, and maintainable AI-driven integrations utilizing centralized platform primitives (agent orchestration, LLM gateways, and IAM guardrails)
• Champion Engineering Excellence:
  Enforce high-quality development practices on your team, including rigorous code reviews, automated testing, and comprehensive system documentation
• Manage Operational Metrics:
  Monitor and optimize integration-specific metrics (e.g., API latency, token consumption, and automation success rates). Establish necessary logging, telemetry, and sustainable incident support processes
• Bridge Communication Gaps:
  Drive clear and concise business and technical discussions, writing high-quality project plans, technical specifications, and postmortems to keep both engineering and non-technical partners aligned

• Experience with Hybrid Team Models:
  Demonstrated capability in directing and reviewing the work of both internal FTEs and external agency contractors, ensuring quality standards remain high
• Technical Background: 8+ years of software engineering experience, with a solid understanding of software design patterns, APIs, and modern cloud backend architectures
• Familiarity with the AI/LLM Ecosystem:
  Practical understanding of building applications using Generative AI, including prompt orchestration, retrieval-augmented generation (RAG), LLM APIs, and vector databases
• Strong Communication & Stakeholder Empathy:
  Excellent written and verbal communication skills, with a proven ability to translate complex technical constraints into clear business terms for stakeholders
• Operational Execution
  
  Skills:
  
  Proven ability to manage a team’s backlog, protect developers from over-commitment, make resource trade-offs, and predictably ship software
• People Management
  
  Experience:
  
  3+ years of experience directly managing software engineering teams, with a track record of hiring, developing, and motivating engineering talent
• Security & Compliance Awareness:
  Solid understanding of data security concepts, specifically managing secure IAM permissions, protecting data privacy, and shielding PII