USAPrincipal Product Manager, AI Infrastructure (Networking)
3 дн. назад
USALeadOnsite
Lead the long-term vision, roadmap, and vendor management strategy for 's AI infrastructure networking foundation.
Обязанности
- Long-term vision: Define the 2-4 year vision and roadmap for 's networking foundation, from fleet-wide architecture to fabric design.
- Vendor management strategy : Own 's long-term vendor management strategy for the network, including defining our cost structure and capital allocation.
- Platform targets: Set the performance, reliability, scalability, and cost targets the network must hit, including network cost per GPU and per server.
- Connectivity architecture: Own cross-DC and multi-site connectivity strategy, network topology, and failure-domain design.
- Technology strategy: Drive NIC, DPU, switch, and networking technology strategy, including evaluating new hardware generations and vendors.
- Structural investment: Identify structural limitations in the current architecture and prioritize the long-term investments that resolve them.
- Engineering partnership: Partner with Infrastructure Engineering and Architecture on major technical tradeoffs, and define the product requirements and business rationale behind foundational investments.
- Executive communication: Represent networking foundations in leadership reviews, translating architecture and vendor tradeoffs into clear decision docs.
Будет плюсом
- Experience with data center network design, including cross-DC and multi-site connectivity.
- Familiarity with the current landscape of networking silicon, NICs, and switch vendors serving AI infrastructure.
- Experience managing or mentoring other product managers.
Условия
- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
- Additional perks & programs specific to location
- Compensation will be paid in the range of up to $285,000-$335,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.
- is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Другое
- is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join , you join a team that is building the future, faster.
- We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
- We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
- If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at .
- Long-term vision: Define the 2-4 year vision and roadmap for 's networking foundation, from fleet-wide architecture to fabric design.
- Vendor management strategy: Own 's long-term vendor management strategy for the network, including defining our cost structure and capital allocation.
- Platform targets: Set the performance, reliability, scalability, and cost targets the network must hit, including network cost per GPU and per server.
- Connectivity architecture: Own cross-DC and multi-site connectivity strategy, network topology, and failure-domain design.
- Technology strategy: Drive NIC, DPU, switch, and networking technology strategy, including evaluating new hardware generations and vendors.
- Structural investment: Identify structural limitations in the current architecture and prioritize the long-term investments that resolve them.
- Engineering partnership: Partner with Infrastructure Engineering and Architecture on major technical tradeoffs, and define the product requirements and business rationale behind foundational investments.
- Executive communication: Represent networking foundations in leadership reviews, translating architecture and vendor tradeoffs into clear decision docs.
- Bachelor's degree in electrical engineering, computer science, or a related field.
- 8+ years of technical product management experience, or product-minded infrastructure engineering experience, with a track record of owning architecture-level outcomes at Principal or equivalent scope.
- Subject matter expertise in networking, with the credibility to operate as a peer to senior infrastructure engineers and architects.
- Direct experience with fleet-wide network architecture, topology design, and failure-domain strategy at scale.
- Experience managing long-term vendor strategy and vetting in-house software engineering investment for core networking infrastructure.
- A strong grasp of infrastructure economics at scale, including cost per unit and capacity planning.
- Analytical mindset with the ability to use data to inform multi-year infrastructure decisions.
- Exceptional communication skills, with the ability to translate technical tradeoffs into clear narratives for engineering leadership and executives.
- Direct experience with RDMA fabrics such as InfiniBand or RoCE, and with GPU cluster networking for AI training or inference.