СШАProduct Marketing Manager, Dedicated
3 нед. назад
170k–220k USD / годСШАHybrid
product positioninggo-to-marketmessagingtechnical narrativelaunch strategy
Lead product positioning, messaging, and go-to-market strategy for AI infrastructure and inference platform capabilities.
О компании
- 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.
Требования
- 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.
Будет плюсом
- 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.
Условия
- 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 , 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.
Другое
- Own the positioning and messaging for ’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