Senior Engineering Manager, AI Platform

As Senior Manager of the AI Platform team, you will lead the vision, strategy, and execution to enable and scale AI-powered features across all product areas. You will be responsible for building and evolving the centralized AI infrastructure that makes LLM development systematic, trustworthy, and accessible at scale.

What you'll do

• Lead all hiring and performance management processes for your Engineering team, helping your engineers reach their full potential in this emerging and rapidly evolving domain.
• Drive high-impact projects and outcomes by managing the team's roadmap and portfolio allocation.
• Find and deliver solutions to complex technical challenges that span across multiple services and business domains, ensuring Mission Teams can build production-grade LLM features with confidence.
• Establish and evangelize best practices for LLM development across Tech.
• Balance rapid innovation with production standards to ensure the platform enables speed without compromising quality, security, or reliability.
• Build strategic partnerships with key stakeholders across product, engineering leadership, and vendor relationships to align platform capabilities with business needs.

What you'll need

• A strong sense of ownership, ensuring technical and product plans are aligned with your stakeholders, your team, and organizational and company goals.
• The ability to approach complex topics with an open mind and a focus on simplicity, particularly when navigating the rapidly evolving AI landscape.
• A strong engineering background in platform engineering, infrastructure, or developer tooling, enabling you to evaluate complex technical decisions related to abstractions, evaluation systems, and safety mechanisms.
• Active leadership and contribution to technical, design, and product discussions within your team's domain, balancing innovation velocity with production reliability standards.
• A passion for building and developing a high-performing engineering team—mentoring, coaching, and empowering engineers to tackle novel challenges in the AI space.

Nice to have

• Experience building platform infrastructure or developer tooling that enables other engineering teams to ship faster and more reliably.
• Experience working with LLMs in production environments, including prompt engineering, evaluation systems, or AI safety mechanisms.
• Experience working in a startup or high-growth environment, taking projects from zero to one and scaling them across an organization.

What they offer

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• Hybrid working approach with three days of in office collaboration and two days of optional at home focus time
• Monthly transportation and fitness budget
• Health and wellness benefits