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.
