Senior Technical Program Manager (Engineering)

What You’ll Do

Own the end-to-end delivery of technical programs, many of which span hardware, software, and research efforts

Define workstreams, set milestones, and coordinate execution across multiple teams and functions

Serve as the connective tissue between engineering, research, product, and operations to ensure aligned priorities and timelines

Proactively identify and resolve bottlenecks, trade-offs, and interdependencies

Dive deep into technical topics to ensure risks are understood and addressed early

Build lightweight processes and tooling to help teams scale sustainably

You’ll Love This Role If You

Are passionate about building reliable, scalable, cutting-edge AI infrastructure

Enjoy optimizing complex distributed systems for performance and cost

Love solving challenging problems in compute, networking and storage at global scale

Are excited about working with cutting-edge GPU infrastructure, and frontier research in ML architecture

Want to work at the intersection of humans and AI/ML systems

It’s Important To Us That You Have

5+ years of program management experience leading large, cross-functional initiatives

Strong technical acumen—bonus if you’ve been an engineer or worked closely with applied-ML teams

Experience coordinating programs that touch both hardware and software domains

AI forward program management practices and processes

Proven ability to thrive in high-growth or startup environments

Comfortable navigating ambiguity and helping others do the same

Excellent communication and stakeholder management skills

It Would Be Great if You Had

Familiarity with AI/ML workloads and their infrastructure requirements

Knowledge of cost optimization for cloud and on-premise infrastructure

Experience with multi-region, multi-cloud infrastructure deployment

Background in performance optimization for distributed systems

Experience with software-defined infrastructure and networking

Certification and/or hands on experience with relevant cloud platforms (AWS, GCP, Azure)

Experience with software-defined infrastructure and networking