Central Revenue Operations Lead, Baseten
+ Equity
Onsite Tuesday-Thursday
3 days a week in office
ML application builder for data scientists
Be an early applicant
ML application builder for data scientists
21-100 employees
Be an early applicant
+ Equity
Onsite Tuesday-Thursday
3 days a week in office
21-100 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- Deep RevOps / GTM Ops foundation - 5+ years of Revenue Operations or Sales Operations experience at a B2B SaaS and/or AI-native company with deep understanding of foundational GTM tools (SFDC, Slack, hubspot, Outreach or equivalent, Gong, etc.)
- AI fluency - You don't need to train models, but you understand what's possible.You've experimented with LLMs, automation tools, and AI agents. You can evaluate vendors and architect solutions
- Systems thinking - You see the GTM function as an interconnected system, not siloed departments. You can design for second-order effects
- Builder mentality - You're energized by ambiguity and greenfield problems. You'd rather create something new than optimize something old but also have a clear sense of where building is unscalable (someone else can do it for cheaper / better). You leverage hypothesis-driven experimentation, rapid iteration, and customer-centric value validation
- Executive presence - You can translate technical concepts for the board and operational details for engineers. You'll need to influence without authority across sales, marketing, post sales, and product leadership
- Intellectual curiosity - You're the person who's already been thinking about this. You have opinions on where GTM is headed and you're eager to test them
- Proven track record managing teams
- Nice to have - Prior experience in AI infrastructure, developer tools, or infrastructure-as-a-service companies with consumption models
- Apply now to embark on a rewarding journey in shaping the future of AI! 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
- The go-to-market playbook that worked for the last decade is being rewritten. AI is fundamentally changing how companies generate pipeline, close revenue, and retain customers
- Most organizations are bolting AI onto legacy processes. We want to design the GTM engine from the ground up in line with Baseten’ scaling needs—and we need someone to lead that transformation
- We're looking for a Revenue Operations Lead to build and own the operational foundation of our GTM engine
- You'll be responsible for building, managing, governing, and iterating on the GTM system that drives pre and post-sales execution
- This role requires balancing a working knowledge of how sales motions, processes, and technologies have functioned historically with a fresh perspective that fundamentally rethinks the entire system
- You'll think like an agile product manager—experimenting with new capabilities, determining what scales, and then streamlining as you validate value back to your customers (the revenue organization)
- Success means running a well oiled revenue operation while also building for the future, standing in front of the world in 3 years and explaining how we built the best AI-native revenue engine in the industry
- Our hypothesis is that companies that figure out AI-first GTM will have a structural advantage for the next decade
- Document, standardize, govern and continuously improve core GTM processes across the full customer lifecycle (TOFU, sales process, lead routing, account assignment, account management, post-sales customer journey)
- Design systems where we can define and scale AI<>human workflows / agents in the right places at the right time
- Implement sales methodologies within operations, leveraging AI-powered workflows where possible, to guide / streamline sales and post sales execution
- Create scalable processes that supports the growth trajectory of Baseten
- Break down silos between marketing, sales, and CS data to create a unified data foundation—a single source of truth that powers decision-making across the funnel
- Establish and enforce data governance standards ensuring clean, reliable data across all GTM systems to drive both AI and human actions in unison across teams
- Democratize analytics and insights to empower everyone in the revenue organization to understand the current state, strengths, and opportunities across the customer journey
- Build automated intelligence loops—feedback systems that continuously learn from wins and losses, automatically adjusting targeting, messaging, and resource allocation
- Design and maintain data models that support AI-driven forecasting, pipeline analysis, and performance tracking
- Build and own an always up-to-date comprehensive data strategy (enrichment) of Baseten’s ICP / TAM / contact database
- Lead with a strong POV and hypothesis on where to build vs. buy, testing and iterating as you go
- Design, implement, and optimize our core GTM technology stack for the future
- Administer Baseten’s current tech stack, ensuring it works properly, the team knows how to leverage it, and that we are getting the highest ROI out of our investments
- Build sophisticated automation and AI-powered workflows that eliminate manual work and improve rep productivity
- Develop and run a strong “agile” product development process to accelerate how we build and iterate on our entire GTM technology stack
- Document frameworks, publish learnings, and build the intellectual property that defines the next era of GTM
- Enable and evangelize all existing and new processes to ensure that customer facing roles are experts in how to run our processes and get the most out of our “revenue system”
- Serve as internal expert on AI-native revenue operations, evangelizing best practices across the organization
- Contribute to industry discourse on the future of revenue operations
- Manage and build a team of world class RevOps specialists
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.
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