Product Marketing Manager – Post-Training

🕒 August 13

🏢🏡 San Francisco – Hybrid

💵 $190k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎁 Product Marketing

Where this job comes from

Posted on Baseten's careers page, not through a job board

First seen by Remote Rocketship August 13

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Logo of Baseten

Baseten

WebsiteLinkedIn

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

• Develop clear and differentiated messaging articulating the value of Baseten’s inference platform to developers and enterprise customers • Shape market narratives around closed-to-open weights models and post-training ROI • Own launches for new features and products in collaboration with product, engineering, sales, and growth teams • Create marketing assets including white papers, technical blogs, demos, and customer case studies • Build sales enablement resources and programs • Conduct competitive and market analysis to inform product positioning strategies

🎯 Requirements

• 3–8+ years of experience in product marketing, preferably in developer tools, cloud infrastructure, or SaaS • Proven success creating technical product marketing content and campaigns targeting developer audiences • Working understanding of the LLM landscape, including post-training, open-weight and closed models, and training techniques • Excellent written and verbal communication skills, with ability to simplify complex concepts • Technically adept and comfortable working with engineering teams to understand product capabilities • Knowledge of AI/ML infrastructure, model training, and post-training concepts • Familiarity with developer ecosystems, APIs, and modern software development practices • Experience working at a fast-moving startup and adjusting quickly • Ability to thrive in a dynamic, fast-paced environment with multiple stakeholders

🏖️ Benefits

• Competitive compensation, including meaningful equity • 100% coverage of medical, dental, and vision insurance for employee and dependents • Flexible PTO policy including company wide Winter Break • Paid parental leave • Fertility and family-building stipend through Carrot • Company-facilitated 401(k) • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities

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