Product Marketing Manager (Dedicated)

Baseten; United States; Remote; USD 170,000 - 230,000; Full time

Benefits offered by this job

Remote-first work environment

In-person team summits

Unlimited PTO

Full healthcare coverage

Parental leave

401(k)

Learning & development budget

Job summary

Baseten is seeking a seasoned Product Marketing leader to own the messaging for our inference and platform capabilities, including autoscaling, routing, and observability. You will translate dense infrastructure work into compelling buyer narratives for ML and platform teams, security and procurement, and executives.

You will partner with Product and Engineering to understand architecture, value, and tradeoffs, shaping when capabilities become platform differentiators or dedicated inference

Qualifications

• Track record building launch strategies for platform/infrastructure products with long enterprise sales cycles.
• Experience translating complex technical products into clear, differentiated positioning for technical practitioners and enterprise decision-makers.
• Excellent storytelling skills, able to make technical infrastructure concrete, credible, and commercially urgent.
• 6+ years in product marketing, technical marketing, or related GTM role, ideally at infrastructure/cloud/AI company.
• Strong technical fluency to ramp on autoscaling, routing, failover, capacity, observability, deployment models, performance optimization.
• 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.

Responsibilities

• Own the positioning and messaging for Baseten’s inference and platform capabilities across autoscaling, routing, failover, release safety, observability, and cost/performance.
• 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.
• 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.
• 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.
• 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.

Skills

Launch strategies

Tech product translation

Storytelling

GTM experience

Technical fluency

AI/ML infra

ML engineer marketing

Competitive positioning

Tools

Kubernetes

Cloud infrastructure

Observability

Distributed systems

Job description

• 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
• 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
• 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
• 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

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

• Track record building launch strategies and GTM plans for platform products, infrastructure products, or technical capabilities with long enterprise sales cycles
• Experience translating complex technical products into clear, differentiated positioning for both technical practitioners and enterprise decision-makers
• Excellent storytelling skills, with the ability to make technical infrastructure feel concrete, credible, and commercially urgent
• 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 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