Cost Analytics Lead, Baseten
$220-260k
+ Equity
Onsite Tuesday-Thursday
3 days a week in office
ML application builder for data scientists
Open for applications
ML application builder for data scientists
101-200 employees
Open for applications
$220-260k
+ Equity
Onsite Tuesday-Thursday
3 days a week in office
101-200 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- 5+ years of experience in analytics, BI, infrastructure analytics, cloud cost management, or a related role
- Strong SQL skills, including experience writing complex transformations across disparate datasets
- Experience building clean, reusable data models and semantic layers in dbt
- Working knowledge of concepts like AWS Cost and Usage Reports, Google Cloud Billing Export, committed use discounts, savings plans, reservations, usage-based pricing, credits, and cloud cost allocation
- Experience integrating raw data from APIs, cloud exports, vendor invoices, billing systems, or observability platforms with Python/SQL
- Familiarity with the FOCUS standard or other cloud cost data normalization frameworks
- Experience building dashboards and self-serve analytics in BI tools such as Sigma and Hex
- Comfort working cross-functionally with Engineering, Finance/Accounting, Product, and Ops stakeholders
- Strong communication skills, with the ability to explain complex infrastructure and cost concepts clearly to both technical and non-technical audiences
- If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you
What the job involves
- We’re hiring a Capacity and Infrastructure Analytics Lead to help Baseten build the analytics foundation for tracking infrastructure usage, capacity, and cloud spend across our growing AI inference platform
- This is a foundational analytics role focused on understanding how compute resources are consumed, priced, and optimized across Baseten’s fleet
- You’ll create reliable data models that bring together cloud billing exports, provider usage data, capacity data, and internal infrastructure telemetry into a unified view of cost and utilization
- You’ll work closely with Finance, Infrastructure, Product, and Operations to answer questions like:
- How efficiently are we using committed capacity? How should we forecast infrastructure needs as usage grows?
- Build, enhance, and maintain dashboards that track cloud cost, usage, capacity, utilization, and infrastructure efficiency across Baseten’s fleet
- Ingest, clean, and model billing and usage data from multiple cloud and infrastructure providers, including sources such as cost and usage reports, provider APIs, invoices, and internal infrastructure systems
- Create canonical data models for capacity and usage across a variety of dimensions and time grains
- Partner with Infrastructure Engineering and Finance to define core metrics for cloud spend, committed capacity utilization, cost allocation, unit economics, and infrastructure efficiency
- Support forecasting and planning workflows by modeling historical usage, capacity trends, and infrastructure demands
- Develop alerting for anomalies in billing, tagging, utilization, and capacity data
- Ensure data reliability through testing, documentation, version control, and clear ownership across the analytics stack
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 build 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, all 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. Specifically, it's hired across engineering and marketing, gaining 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 are uncertain about how to actually use.
Simplifying the complex world of artificial intelligence for business is no mean feat, but with hundreds of millions in funding behind it and a $5 billion valuation reported in 2026, the company is well on its way to market domination. What's more, the three founders, who met whilst working as engineers at Gumroad, have a lot of experience in navigating 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.
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