Product Marketing Manager, Dedicated Inference
Company websitebaseten.co (Baseten, opens in new tab)
Base salary $170K to $220K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +1 more
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
All places named
- San Francisco, CA
- New York, NY
About this job
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).
Source: Baseten on Ashby · View original posting (opens in new tab)
This listingProduct Marketing Manager, Dedicated Inference$170K to $220K
Social Media Manager$170K to $210K
Corporate Accounting Manager$170K to $210K
Product Marketing Manager, Training$170K to $220K
Global Capacity Manager$170K to $230K
Solutions Architect$165K to $330K
Software Engineer - Training Product$165K to $330K
Chart as a table
| Role | Published base |
|---|---|
| Product Marketing Manager, Dedicated Inference (this listing) | $170K - $220K |
| Social Media Manager | $170K - $210K |
| Corporate Accounting Manager | $170K - $210K |
| Product Marketing Manager, Training | $170K - $220K |
| Global Capacity Manager | $170K - $230K |
| Solutions Architect | $165K - $330K |
| Software Engineer - Training Product | $165K - $330K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- fields changed
- Observed since
- Employer-stated posting date
- 2026-09-18
Where this pay comes from
Location as the employer wrote it: San Francisco • New York
USD 170,000 – 220,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
