Product Marketing Manager

🕒 September 19

🏢🏡 San Francisco – Hybrid

💵 $170k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎁 Product Marketing

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Baseten

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $8M Seed Round on 2022-04

Artificial Intelligence • SaaS • Enterprise

Baseten is a company that provides fast, scalable model inference services, designed for performance, security, and a delightful developer experience. They offer tools to streamline the entire development process, enabling high-throughput inference and fast deployment times. Baseten caters to enterprise companies by delivering robust, secure, and scalable model serving solutions, particularly useful for machine learning and AI model deployment. Their solutions allow organizations to efficiently manage model infrastructure while focusing on creating domain-specific models. Baseten supports open-source model packaging and offers autoscaling features to handle varying demand efficiently.

📋 Description

• Own positioning and messaging for Baseten’s dedicated inference and platform capabilities • Translate infrastructure-heavy product work into buyer narratives for technical and enterprise audiences • Partner with Product and Engineering to understand architecture, customer value, roadmap tradeoffs, and proof points • Define positioning across platform differentiation, dedicated inference, reliability, compliance, and sales enablement • Build and execute launch plans from internal enablement through external announcement • Decide whether capabilities require full launches, documentation, sales enablement, customer-specific materials, or targeted enterprise outreach • Create 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 on pipeline-generating campaigns and enterprise deal support • Analyze how AI-native companies and enterprises run production inference and identify infrastructure pain points • Turn ambiguous customer and market signals into recommendations for Product, Sales, and Marketing • Develop competitive messaging against inference providers, cloud platforms, and internal DIY alternatives • Ensure technical claims are accurate, defensible, and supported by real product behavior • Understand deal blockers, buyer objections, and enablement gaps • Collaborate on 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 ability to quickly ramp on autoscaling, routing, failover, capacity, observability, deployment models, and performance optimization • Experience translating complex technical products into clear, differentiated positioning for 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 to make technical infrastructure concrete, credible, and commercially urgent • Nice to have: experience with AI/ML infrastructure, inference, model serving, cloud infrastructure, Kubernetes, observability, DevOps, or distributed systems • Nice to have: experience marketing to ML engineers, platform engineers, infrastructure leaders, security/compliance teams, or technical executives • Nice to have: experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms • Ability to work onsite Tuesday–Thursday at the San Francisco or New York office • Unrestricted work authorization in the United States

🏖️ 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 (offices 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 learning and networking opportunities