Marketing Operations Manager, Baseten
$190-210k
+ Equity
ML application builder for data scientists
Posted today
ML application builder for data scientists
101-200 employees
Posted today
$190-210k
+ Equity
101-200 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- 6+ years in marketing operations at a B2B SaaS or developer-tooling company
- Deep, hands-on expertise in MAPs AND Salesforce — field mapping, sync governance, workflows, campaign objects; certifications a plus
- Has personally built lead scoring, routing, lifecycle stages, and attribution infrastructure — not just operated someone else's
- Has lived through (and fixed) messy data: dedupes, backfills, spam attacks, tracking outages; knows prevention beats cleanup
- Comfortable with tag management (GTM), webhooks, APIs, and light scripting/automation (n8n, Zapier, Python, or AI-agent tooling)
- Thinks in systems and failure modes: asks "what happens when this breaks at 2am on a launch weekend?"
- Familiarity with email infrastructure and deliverability
- Obsessive QA instinct — the type who catches the broken UTM before the campaign goes live
- Strong stakeholder management across Marketing, Sales, Finance, Data, Design, and external agencies
- Moves fast without breaking the data; documents everything
What the job involves
- We're looking for a Marketing Operations Manager who can own and harden the systems layer of Baseten's Marketing engine
- Marketing at Baseten is scaling fast — more spend, more campaigns, more model launches, more inbound. The systems underneath (Our ESP, CRMs, forms, tracking, routing, alerting) need an owner who treats them like production infrastructure that cannot go down. When something breaks, it costs us time, pipeline, and trust in the data. This role exists so it doesn't break
- You’ll simultaneously build for the future and re-think assumptions about our tech stack in the age of agents. This is an offensive play that gives the rest of the team leverage and superpowers to hit our ambitious goals. This is NOT an IT or service role. This is a core member of the marketing team who implements technology to achieve outcomes
- Own the marketing tech stack end-to-end: ad platforms, email systems, tracking, pixels, forms, connectors
- Build defense-in-depth on inbound: spam/bot protection, rate limiting, email/domain validation, sync gating — and the alerting to catch anomalies before they hit sales or leadership dashboards
- Enforce data integrity: UTM governance, campaign membership, lifecycle stages, lead scoring and routing logic, field-level hygiene, canonical metric definitions
- Operationalize the web request pipeline with our dev agency: structured briefs, tickets, SLAs, and launch-day runbooks instead of ad-hoc Slack threads
- Systematize the request intake for marketing ops work — triage, prioritize, automate the repeat offenders instead of hand-servicing them forever
- Partner with RevOps, Data, and Sales to close workflow gaps where revenue data leaks (program tracking, Slack-only approvals, contact-vs-opportunity data)
- Build or implement custom solutions as the needs arises be they net new capabilities or AI-powered workflows
- Implement your vision for the marketing stack of the future, with a clear POV and roadmap on how to achieve it
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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