Technical Product Marketing Manager

Responsibilities

• Own positioning and messaging for Baseten products across inference, Model APIs, training and post-training, and the core platform, written for ML engineers, platform teams, and executive buyers.
• Work closely with Product and Engineering to understand architecture, tradeoffs, and roadmap, and make sure every technical claim is accurate and backed by how the product actually behaves.
• Keep product-level messaging consistent with Baseten’s platform narrative so each product story supports the others.
• Write messaging that is technically credible without getting lost in implementation detail.
• Build and run launch plans for new products and major capabilities, from internal enablement through external announcement.
• Decide what deserves a full launch and what should ship through docs, sales enablement, or targeted customer outreach.
• Create launch assets including messaging briefs, landing pages, technical blog posts, demo storylines, sales decks, one-pagers, and FAQs.
• Partner with Demand Gen, Sales, Solutions, and Customer Marketing to turn product capabilities into campaigns and deal support.
• Track the competitive landscape across inference providers, model API companies, hyperscalers, and internal DIY platforms, including pricing, packaging, launches, and messaging.
• Turn that analysis into a clear point of view on where Baseten wins and loses, and use it to sharpen positioning.

Requirements

• 4+ years in product marketing, technical marketing, or developer marketing, with at least 2 of those years marketing to developers or technical buyers at an infrastructure, developer tools, cloud, data, or AI company.
• Strong writing. You can take a dense technical topic and make it clear without oversimplifying it, and you have samples to show.
• Technical fluency. You’re comfortable reading docs, asking engineers specific questions, and getting up to speed on concepts like inference, autoscaling, fine-tuning, and open- vs. closed-weight models.
• Hands-on competitive analysis experience: you’ve compared products in depth, formed a view, and used it to change positioning, messaging, or how a deal was sold.
• A track record of learning unfamiliar products and markets quickly and moving between them.
• Experience launching technical products or capabilities, including deciding what to launch and how.
• Comfortable owning both strategy and execution: landing pages, decks, one-pagers, and written content, not just frameworks.
• Experience at a fast-moving startup, working with multiple stakeholders and shifting priorities.

Preferred

• Experience with AI/ML infrastructure, inference, model serving, or model training and post-training.
• Experience marketing to ML engineers, platform engineers, infrastructure leaders, or technical executives.
• Experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms.
• Time in an adjacent role such as solutions engineering, product management, developer relations, technical writing, or industry or equity research covering AI or infrastructure.

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.