Product Marketing

Location: Hybrid in San Francisco or New York, United States

Salary: $170,000–$220,000 per year, plus equity

Company

Baseten provides inference infrastructure, applied AI research, and developer tooling that help AI companies deploy and operate production machine learning models.

What you will do

• Own positioning and messaging for dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance optimization.
• Translate infrastructure products into credible narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences.
• Build and execute launch strategies for inference and serving platform capabilities.
• Create messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demos, competitive talk tracks, and customer proof points.
• Develop market, customer, and competitive intelligence and turn ambiguous signals into recommendations for Product, Sales, and Marketing.
• Partner with Product, Engineering, Sales, Solutions, Demand Gen, and Customer Marketing on launches, campaigns, customer stories, and enterprise deal support.

Requirements

• 6+ years of experience in product marketing, technical marketing, developer marketing, or a related go-to-market role.
• Experience with infrastructure, developer tools, cloud, data, or AI products.
• Strong technical fluency in concepts such as autoscaling, routing, failover, capacity, observability, deployment models, and performance optimization.
• Experience translating complex technical products into differentiated positioning for technical practitioners and enterprise decision-makers.
• Experience building launch strategies and go-to-market plans for platform or infrastructure products with long enterprise sales cycles.
• Excellent storytelling skills and the ability to make technical infrastructure concrete, credible, and commercially relevant.

Nice to have

• Experience with AI/ML infrastructure, inference, model serving, cloud infrastructure, Kubernetes, observability, DevOps, or distributed systems.
• Experience marketing to ML engineers, platform engineers, infrastructure leaders, security and compliance teams, or technical executives.
• Experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms.

Culture & Benefits

• Competitive compensation with meaningful equity.
• For U.S. employees: 100% coverage of medical, dental, and vision insurance for employees and dependents.
• Flexible PTO and a company-wide Winter Break from Christmas Eve through New Year's Day.
• Paid parental leave and a fertility and family-building stipend through Carrot.
• For U.S. employees: company-facilitated 401(k).
• Exposure to a variety of ML startups and related learning and networking opportunities.