Senior Engineering Manager

As the Senior Engineering Manager for the AI Platform Team, you will lead the AI Engineering Hub of our newly established Staff AI Enablement Organization. In this highly visible role, you will bridge the gap between complex infrastructure and real-world business impact. Your mandate is two-fold: overseeing the Tier 1 Platform Foundation (building reusable, secure AI primitives like agent inference, prompt tuning, and orchestration) and coordinating the Tier 2 Staff Enablement efforts (partnering directly with departments like Finance, Legal, and Transaction Management to deploy deep, domain-specific workflow automations).

You will manage a lean, high-caliber, hybrid team of full-time Compass software engineers—ranging from Junior to Staff-level —alongside a flexible pool of strategic contractors. By treating the platform as a product, you will build a secure, unified “AI Platform Flywheel” that protects proprietary company data while systematically cutting operational overhead to capture millions in business efficiency.

Responsibilities:

• Lead and Develop Talent: Directly manage, mentor, and grow a hybrid team of full-time engineers and contractors. Cultivate a high-performing culture through individualized coaching, clear performance standards, and proactive career pathing.
• Drive AI Platform Strategy: Formulate and execute the roadmap for foundational AI platform primitives (agent orchestration, LLM gateway, telemetry, secure caching, etc.) in close collaboration with senior leadership and Principal Engineers.
• Accelerate Business Enablement: Deeply partner with corporate departments (Finance, Legal, Ops, etc.) to identify automation opportunities, translating operational processes into structured AI integrations that run on your platform primitives.
• Enforce Strict AI Governance: Oversee technical design and architecture to ensure all AI tools strictly adhere to information security, data residency, and identity and access management (IAM) guidelines.
• Promote Operational Excellence: Establish and monitor clear performance metrics (accuracy, latency, token consumption, and cost observability). Implement robust logging, alerting, and rapid incident response systems.
• Balance Strategic Resources: Make critical, data-driven decisions on team structure and resource allocation, deciding when to leverage flexible contractors for short-term velocity versus retaining core technical architecture inside our FTE footprint.
• Deliver Compelling Communication: Drive high-level technical and strategic written communication (e.g., system tenets, architectural plans, and project charters) to align multiple cross-functional stakeholders around technical trade-offs.

Requirements: 

• Strong Technical Background: 10+ years of software engineering experience, with a proven track record of building scalable developer platforms, APIs, SaaS infrastructure, or centralized backend frameworks.
• Direct People Management: 6+ years of experience leading software engineering squads, with proven success managing senior and staff-level engineers, as well as geographically distributed teams.
• Fluency in the Generative AI Stack: Deep familiarity with modern LLM application architectures, vector databases, prompt design, fine-tuning, retrieval-augmented generation (RAG), and agent orchestration libraries.
• Hybrid Team Stewardship: Experience managing a blended team model of full-time employees and contractors, keeping quality bars high while driving execution velocity.
• Comfort with Ambiguity: A proven self-starter who can take open-ended business problems and shape them into clear, structured, and phased engineering plans with minimal guidance.
• Customer Empathy & Product Mindset: Demonstrated ability to understand the pain points of internal “customers” (non-technical business departments) and package platform capabilities into intuitive, reliable internal products.
• Security & Compliance Aptitude: Solid understanding of enterprise security concepts, including IAM, data isolation, encryption, and regulatory compliance standards (e.g., SOC 2, PCI DSS) as they relate to cloud-based applications.