Product Marketing Manager

Baseten

. Own positioning and messaging for Baseten’s dedicated inference and platform capabilities .

Posted 9/19/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $170,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product marketing with a focus on technical positioning, launch strategies, and messaging for infrastructure and AI-native products. Capable of translating complex technical concepts into clear narratives for diverse audiences, while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Product MarketingTechnical FluencyLaunch StrategiesStorytelling SkillsAI/ML Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product MarketingTechnical MarketingGTM StrategyPositioningMessaging DevelopmentCompetitive AnalysisPerformance OptimizationDeployment ModelsSales EnablementCustomer Insights

Soft Skills

CollaborationCommunicationAnalytical ThinkingStorytelling

Tools & Technologies

KubernetesCloud InfrastructureObservabilityDevOpsAI/ML Tools

Industry Keywords

InfrastructureDeveloper ToolsCloudDataAIEnterprise SalesTechnical Capabilities

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact

Own positioning and messaging for Baseten’s dedicated inference and platform capabilities
Translate infrastructure-heavy product work into buyer narratives for technical and enterprise audiences
Partner with Product and Engineering to understand architecture, customer value, roadmap tradeoffs, and proof points
Define positioning across platform differentiation, dedicated inference, reliability, compliance, and sales enablement
Build and execute launch plans from internal enablement through external announcement
Decide whether capabilities require full launches, documentation, sales enablement, customer-specific materials, or targeted enterprise outreach
Create 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 on pipeline-generating campaigns and enterprise deal support
Analyze how AI-native companies and enterprises run production inference and identify infrastructure pain points
Turn ambiguous customer and market signals into recommendations for Product, Sales, and Marketing
Develop competitive messaging against inference providers, cloud platforms, and internal DIY alternatives
Ensure technical claims are accurate, defensible, and supported by real product behavior
Understand deal blockers, buyer objections, and enablement gaps
Collaborate on campaigns, customer stories, and field programs

Requirements

What you’ll need

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 ability to quickly ramp on autoscaling, routing, failover, capacity, observability, deployment models, and performance optimization
Experience translating complex technical products into clear, differentiated positioning for 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 to make technical infrastructure concrete, credible, and commercially urgent
Nice to have: experience with AI/ML infrastructure, inference, model serving, cloud infrastructure, Kubernetes, observability, DevOps, or distributed systems
Nice to have: experience marketing to ML engineers, platform engineers, infrastructure leaders, security/compliance teams, or technical executives
Nice to have: experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms
Ability to work onsite Tuesday–Thursday at the San Francisco or New York office
Unrestricted work authorization in the United States

Benefits

Comp & perks

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 (offices 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 learning and networking opportunities