Global Capacity Manager, Baseten
$170-230k
+ Equity
ML application builder for data scientists
Open for applications
ML application builder for data scientists
21-100 employees
Open for applications
$170-230k
+ Equity
21-100 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, Or a related field
- 5+ years of professional work experience in a high-growth environment, preferably at a Hyperscaler (GCP, AWS, Azure) or a specialized GPU provider
- Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node Draining, and custom operators
- Demonstrated experience with Go or Python in a production-level environment
- Strong financial literacy and the ability to model complex trade-offs between capacity reliability and cost
- High tenacity and collaborative mindset
What the job involves
- As a Global Capacity Lead at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads
- You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments
- This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering
- You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics
- To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes Orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture
- Lead Specialized Pods: Act as the lead for specific GPU pods (e.g., H100 or B200), managing the full lifecycle of acquisition, air traffic control, and maintenance for those assets
- Advanced Orchestration: Execute complex workload migrations and "sticky" deployment drains, ensuring deployment scheduling rules meet strict regional and Compliance requirements
- Build for Scalability: Design and implement the "next version" of Baseten’s capacity Management system to handle a 10x increase in GPU volume financial Modeling: Leverage your understanding of unit economics to build ROI models for GPU spend, ensuring Baseten scales profitably
- Cross-Team Collaboration: Partner with SRE, Infra, and FDE teams to take discrete operational tasks off their plate and verify "last mile" follow-through on infrastructure changes
- Incident Response: Lead capacity-crunch response by rapidly untainting and re-Coordinating workloads during high-pressure outages
- Example Initiatives:
- The B200 Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's first Blackwell GPU clusters. Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems to move customer workloads seamlessly across regions to optimize cost and latency
- Precision GPU Triage: Developing automated Go-based operators to identify, cordon, and repair unhealthy H100 nodes in under an hour
- The Supply Chain of Intelligence: Partnering with leadership to secure and reserve dedicated capacity for Baseten’s largest enterprise customers
Our take
As with its mathematical namesake, Baseten focuses on simplifying the complex. The San Francisco startup focuses on simplifying the integration of artificial intelligence into businesses. The tools that Baseten built demolish the need for businesses to hire specialised engineers, utilising the huge strides in artificial intelligence that we’ve seen in the last few years without adding workload to businesses.
With serious funding behind it, Baseten has grown its team by three times year-over-year over the last five years, especially across engineering and marketing. Having hired talent from companies such as GitHub, Google, Uber, Amazon, and Palantir, part of Baseten's focus is on helping companies implement the tools that they have at their disposal, a long-overlooked aspect of machine learning that many businesses have been eager to champion, but uncertain on how to actually use.
Simplifying the complex world of artificial intelligence for business is no mean feat but the three founders, who met whilst working as engineers at Gumroad, have a lot of experience in how to navigate this gap in the market.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Jan 2026
$300m
LATE VC
Sep 2025
$150m
SERIES D
Total funding: $585m
Company benefits
- Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive
- Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better
- Unlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day
- Full healthcare coverage. Medical, dental and vision insurance for you and your family
- Paid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work
- Company-sponsored 401(k) for you to contribute to
- Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen
Company HQ
Union Square, San Francisco, CA
Leadership
Tuhin Srivastava
(Co-Founder)Previously Co-Founder at Shape, Machine Learning at Gumroad and Skulpt.
Amir Haghighat
(Co-Founder)Previously Head of Engineering at Gumroad, Software Engineer at Yelp and Engineering Manager at Clover Health.
Phillip Howes
(Co-Founder)Previously Co-Founder at Shape, Machine Learning Engineer at Gumroad and Research Assistant at the University of Sydney.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 41 more jobs at Baseten