Solutions Architect, Baseten
EMEA
$145-290k
+ Equity
ML application builder for data scientists
Be an early applicant
ML application builder for data scientists
101-200 employees
Be an early applicant
$145-290k
+ Equity
101-200 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders
- Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements
- Technical depth to scope solutions, without needing to write production code
- Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows
Desirable
- Experience running or supporting benchmarks for ML inference deployments
- Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning)
- Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering
What the job involves
- As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers
- This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering
- Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts)
- Lead demos and technical scoping to align on success criteria, architecture, and deployment approach
- Own benchmarking and repeatable deployments, including:
- Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc
- Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups
- Driving consistent “playbook” style deployments for common models and use cases
- Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them
- Drive POC and project execution, including:
- Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps
- Acting as the “ringleader” or project manager for POCs
- Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed
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 7 rounds)
Jun 2026
$1.5bn
SERIES F
Jan 2026
$300m
SERIES E
Total funding: $2.1bn
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.
Share this job
View 83 more jobs at Baseten