Senior Manager, Software Engineering – Infrastructure

Role Overview

• Lead and scale the Infrastructure / Core Platform domain, managing multiple teams responsible for cloud infrastructure, internal platforms, reliability, and core services.
• Enable AI-first product delivery at scale by providing robust foundations for LLM workloads, agentic systems, data pipelines, model evaluation, and secure model serving.
• Set a clear technical and operational vision for infrastructure that balances reliability, velocity, security, and cost.
• Partner closely with Product, Security, and Engineering Leadership to align platform investments with business and product strategy.
• Drive operational excellence: availability, incident management, capacity planning, disaster recovery, and clear SLOs.
• Establish and evolve platform standards for CI/CD, observability, infrastructure-as-code, service ownership, and developer experience.
• Lead teams responsible for cloud cost management, performance optimization, and scalability, especially as AI workloads grow.
• Coach and develop senior+ Infrastructure engineers, setting clear expectations and growth paths, while raising the overall talent bar through strong hiring, onboarding, and succession planning.
• Guide teams through change and ambiguity, including fast-evolving AI infrastructure needs and shifting organizational priorities.
• Contribute to org-wide engineering strategy, planning, and execution as a senior member of the engineering leadership team.
• Own strategic relationships with key Infrastructure and SaaS vendors, including contract negotiations and amendments, usage and spend oversight, roadmap alignment, and evaluation of new capabilities as platform needs evolve.
• Partner closely with Finance and Procurement to lead cloud cost management and optimization, including cost allocation, forecasting, budgeting, and governance models that scale sustainably with growing AI workloads.

Requirements

• 5+ years of engineering management experience, including leading managers and/or multiple teams.
• Strong prior experience as a software, platform, or infrastructure engineer, with the ability to engage deeply on technical strategy and trade-offs.
• Proven experience owning production infrastructure at scale, including cloud platforms, reliability, security, and developer enablement.
• Bonus: Interest in or exposure to AI/ML systems (such as LLM workloads, data pipelines, model serving, MLOps, or evaluation frameworks), including learning or personal development in this area — hands-on model development is not required.
• A track record of data-driven decision making across reliability, cost, capacity, and delivery.
• Ability to apply first-principles thinking to complex systems and organizational problems.
• Strong change agility — comfortable leading teams through evolving architecture, tooling, and AI-driven shifts.
• Excellent communication skills, with the ability to influence across Product, Security, and Engineering.
• Based in the East Coast U.S., with the ability to work effectively across Boston, Washington DC, or Austin hubs.

Tech Stack

• Cloud

Benefits

• Health (medical, vision, dental), life, and disability insurance*
• Equity stock options
• Retirement plans
• Paid public holidays and unlimited PTO
• Paid maternity and parental leave
• Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
• Employee Assistance Program