Product Manager, Baseten
Enterprise
$180-330k
+ Equity
ML application builder for data scientists
Posted today
ML application builder for data scientists
101-200 employees
Posted today
$180-330k
+ Equity
101-200 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- 8+ years in product management, with real depth in enterprise or B2B infrastructure — security, compliance, identity, networking, or billing
- You've shipped enterprise readiness surface - multi-cloud and multi-region deployments, SSO/RBAC, SOC 2/HIPAA, VPC/PrivateLink, usage-based billing and can publicly point to the products you’ve shipped
- Credible in the room with security, compliance, and procurement buyers and with the engineers who build it
- You think in supported, priced products - not per-deal exceptions - and you know the difference between a feature and a sellable capability
- A rigorous researcher who lets customer and deal reality drive the call, and a relentless shipper
- Bonus: ML infrastructure experience, you've sold into or built for regulated industries (healthcare, financial services, government), etc
What the job involves
- The largest, most demanding Enterprises are starting to run on Baseten and they come with a range of security, compliance, and procurement requirements.
- Today that readiness is assembled deal-by-deal. You'll own the enterprise-readiness surface end to end and turn it into product: the deployment options customers can choose and buy, compliance posture they can trust, access and security controls their IT teams require, and the billing and spend controls their finance teams expect.
- Drive the Enterprise Readiness customer experience end to end: Partner with GTM and Enterprise Engineering to make "enterprise-ready" a platform-wide capability, not a deal-by-deal scramble. Outcome: readiness becomes a supported, priced product instead of bespoke work assembled per deal
- Product Vision and Roadmap: See around the curve on what regulated customers will require — deployment models, compliance posture, identity and access, billing and spend controls — and build ahead of the need. Outcome: one prioritized roadmap and operational rigor that help us get ahead of customer requirements instead of reacting to them
- Be the Enterprise customer voice: Turn deal-blocking requirements from sales and FDE into product. Outcome: the steady stream of one-off exceptions becomes a smaller set of sellable, supported capabilities
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.
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