ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
REQUIREMENTS:
Product Positioning & Technical Narrative
Own the positioning and messaging for Baseten’s dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance capabilities.
Translate infrastructure-heavy product work into buyer narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences.
Partner with Product and Engineering to understand the technical architecture, customer value, roadmap tradeoffs, and proof points behind each capability.
Define when a capability should be positioned as a platform differentiator, a dedicated inference requirement, a reliability story, a compliance story, or sales enablement.
Build messaging that is technically credible without being overly implementation-focused or generic.
Launch Strategy & GTM Execution
Build and execute launch plans for major dedicated inference and serving platform capabilities, from early internal enablement through external announcement.
Decide what deserves a full launch versus what should ship through docs, sales enablement, customer-specific materials, or targeted enterprise outreach.
Create launch assets including messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demo storylines, competitive talk tracks, and customer-facing proof points.
Sequence launches and supporting assets based on customer demand, product readiness, sales need, and market opportunity.
Partner with Demand Gen, Sales, Solutions, and Customer Marketing to turn product capabilities into pipeline-generating campaigns and enterprise deal support.
Market, Customer & Competitive Intelligence
Build a deep understanding of how AI-native companies and enterprises run production inference today, where their current infrastructure breaks, and what they need as workloads scale.
Turn ambiguous customer and market signals into clear recommendations for Product, Sales, and Marketing.
Develop competitive messaging against inference providers, cloud platforms, and internal DIY alternatives
Cross-Functional Partnership
Partner with Engineering to ensure technical claims are accurate, defensible, and supported by real product behavior.
Work with Sales and Solutions teams to understand deal blockers, buyer objections, and enablement gaps.
Collaborate with Demand Gen and Customer Marketing to build campaigns, customer stories, and field programs
REQUIREMENTS:
6+ years in product marketing, technical marketing, developer marketing, or a related GTM role, ideally at an infrastructure, developer tools, cloud, data, or AI company.
Strong technical fluency and the ability to quickly ramp on infrastructure concepts like autoscaling, routing, failover, capacity, observability, deployment models, and performance optimization.
Experience translating complex technical products into clear, differentiated positioning for both technical practitioners and enterprise decision-makers.
Track record building launch strategies and GTM plans for platform products, infrastructure products, or technical capabilities with long enterprise sales cycles.
Excellent storytelling skills, with the ability to make technical infrastructure feel concrete, credible, and commercially urgent.
NICE TO HAVE:
Experience with AI/ML infrastructure, inference, model serving, cloud infrastructure, Kubernetes, observability, DevOps, or distributed systems.
Experience marketing products to ML engineers, platform engineers, infrastructure leaders, security/compliance teams, or technical executives.
Experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms.
BENEFITS
Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Skills Required
- 6+ years of experience in product marketing, technical marketing, developer marketing, or a related go-to-market role
- Experience at an infrastructure, developer tools, cloud, data, or AI company
- Strong technical fluency with infrastructure concepts including autoscaling, routing, failover, capacity, observability, deployment models, and performance optimization
- Experience translating complex technical products into differentiated positioning for technical practitioners and enterprise decision-makers
- Track record building launch strategies and go-to-market plans for platform, infrastructure, or technical products with long enterprise sales cycles
- Excellent storytelling skills and ability to make technical infrastructure concrete, credible, and commercially urgent
- Experience with AI/ML infrastructure, inference, model serving, cloud infrastructure, Kubernetes, observability, DevOps, or distributed systems
- Experience marketing to ML engineers, platform engineers, infrastructure leaders, security/compliance teams, or technical executives
- Experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms
Baseten Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Baseten and has not been reviewed or approved by Baseten.
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Fair & Transparent Compensation — Feedback suggests pay targets the top of market with explicit ranges in postings and a stated aim to provide 90th percentile salaries with equity. Role descriptions emphasize competitive, experience-based pay bands and meaningful stock grants.
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Healthcare Strength — Healthcare is described as fully covered for medical, dental, and vision for employees and their families, reducing out-of-pocket costs. This comprehensive coverage is consistently highlighted alongside other core benefits.
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Leave & Time Off Breadth — Time off policies include unlimited PTO with a minimum expectation of at least four weeks, 16 paid company holidays, and a company-wide winter break. These elements indicate substantial protected time away from work.
Baseten Insights
What We Do
AI’s future won’t be a few massive models built by a handful of labs. It’ll be millions of specialized models embedded into every product, workflow, and experience by the people closest to the customer. The foundation of that future is inference. Inference determines the performance, reliability, latency, and economics of every AI product. For AI to scale globally, it must be as reliable, fast, cost-effective, and high-quality as possible. That’s why Baseten exists. Companies like Abridge, Cursor, Lovable, Notion, and OpenEvidence depend on Baseten to power mission-critical AI workloads in production.
Why Work With Us
We’re an interdisciplinary team of researchers, engineers, and operators building the Inference Cloud our AI future demands. We’re running at a hard systems problem that requires first-principles thinking across the entire stack. The bar is high. We work hard, move fast, and care deeply about quality.









