Product Marketing Manager, Dedicated at Baseten in San Francisco

Job description

• Application

Responsibilities

• 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.
• 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.

Skills

Required

• Product marketing
• Technical marketing
• Developer marketing
• GTM strategy
• Technical fluency
• Positioning and messaging
• Launch planning
• Storytelling
• Cross-functional collaboration

Preferred

• AI/ML infrastructure
• Inference
• Model serving
• Cloud infrastructure
• Kubernetes
• Observability
• DevOps
• Distributed systems

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.
• $170K – $220K • Offers Equity
• Competitive compensation. We aim to provide 90th percentile (or better) salaries and equity grants for every team member commensurate with their experience.