Product Marketing Manager, Post-Training

About the role

You will own the end-to-end positioning and messaging for Baseten's post-training inference solutions, ensuring that complex technical concepts are translated into clear, compelling narratives for both developers and enterprise stakeholders. This role requires you to act as the voice of post-training ROI, articulating how closed-to-open weight models can be optimized cost-effectively on our platform. You will craft product narratives that resonate deeply with technical decision-makers, bridging the gap between advanced AI research and practical deployment. You will collaborate cross-functionally with product and engineering teams to distill intricate capabilities into accessible stories that drive adoption. Your work will directly influence how the market perceives Baseten's infrastructure for production-grade AI. You will be responsible for building marketing assets that showcase real-world impact and differentiate our post-training offerings in a crowded landscape. If you are ready to learn and grow within the post-training domain while leveraging your strategic thinking, this role is a perfect fit. You will thrive in an environment where your contributions directly shape product-market fit and customer success.

Key facts

What you'll do

• Conduct deep-dive analyses of post-training use cases to extract high-value messaging pillars that speak to developer and enterprise needs.
• Architect narrative frameworks that clarify the business case for closed-to-open weights transformation and model fine-tuning on Baseten.
• Partner with engineering to translate technical post-training innovations into structured demo flows and interactive presentations.
• Lead the creation of technical white papers that explore inference optimization strategies and performance benchmarks for tuned models.
• Develop developer-focused content such as technical blogs and hands-on guides that illuminate best practices for post-training workflows.
• Design and iterate on customer case studies that highlight measurable ROI from deploying fine-tuned models in production environments.
• Own the storytelling for product launches, aligning go-to-market campaigns with the unique outcomes of post-training capabilities.
• Build sales enablement toolkits that equip revenue teams with battle-tested arguments and evidence for engaging technical buyers.
• Synthesize competitive intelligence on post-training approaches to sharpen positioning and uncover underserved market needs.
• Collaborate with growth and demand generation teams to align messaging across channels, ensuring consistent technical storytelling.
• Monitor market reactions to post-training messaging and refine content based on qualitative feedback and conversion data.
• Act as a liaison between technical teams and marketing, ensuring that complex concepts are communicated with precision and clarity.
• Evaluate the effectiveness of marketing assets through experimentation, iterating based on engagement and stakeholder input.
• Represent post-training thoughtfulness in external forums, aligning thought leadership with Baseten's platform vision.

Requirements

• Hold a Bachelor's degree or equivalent practical experience, with a demonstrated ability to learn complex technical domains.
• Bring 3-8+ years of product marketing experience, with a strong track record in developer tools, cloud infrastructure, or SaaS environments.
• Show proven success in creating technical product marketing content aimed at developer audiences and influencing adoption.
• Maintain a working understanding of the AI landscape, including distinctions between open-weight and closed models and the role of post-training.
• Demonstrate excellent written and verbal communication skills, with the ability to simplify intricate concepts without losing technical fidelity.
• Exhibit technical aptitude and comfort collaborating with engineering teams to understand product capabilities and limitations.
• Possess knowledge of AI and ML infrastructure, including model training workflows and post-training methodologies.
• Display familiarity with developer ecosystems, API design principles, and modern software development practices.
• Have direct experience working in fast-moving startups where agility and rapid learning are essential.
• Thrive in a dynamic, ambiguous environment while managing multiple stakeholders and competing priorities.
• Commit to equal opportunity principles and contribute to an inclusive workplace that respects diversity and varied backgrounds.
• Be willing to undergo a background check and comply with employment eligibility requirements as mandated by U.S. law.

Nice to have

• Experience with AI infrastructure platforms and exposure to model deployment challenges in production.
• Background in startups that operate at the intersection of machine learning and developer tooling.
• Understanding of how competitive offerings approach post-training, inference optimization, and model fine-tuning.

Practical notes

This role is based in San Francisco and requires full-time onsite engagement. The position is exempt and aligned with standard employment terms. Compensation includes meaningful equity and competitive pay, with benefits such as 100% coverage of medical, dental, and vision insurance for employees and dependents. Baseten provides flexible PTO, including a company-wide winter break between Christmas Eve and New Year's Day, paid parental leave, and fertility support through Carrot. The company matches 401(k) contributions to help employees build long-term financial security. Growth opportunities arise from exposure to a wide range of ML startups and collaboration with cross-functional leaders. Applicants must be authorized to work in the United States without sponsorship at this time. The hiring process will assess cultural fit, technical understanding, and alignment with Baseten's mission.