Gimlet Labs is building the foundation for the next generation of AI applications. As generative AI workloads rapidly scale, inference efficiency is becoming the critical bottleneck. Gimlet is redefining AI inference from the ground up, combining cutting-edge research with an integrated hardware-software stack that delivers breakthrough performance, efficiency, and model quality.
Gimlet pairs its inference stack with a seamless developer experience, allowing users to deploy, manage, and monitor AI workloads from frameworks like PyTorch and LangChain at production scale in seconds. The founding team has deep experience across AI, distributed systems, and hardware with previous successful exits.
We're bringing on our first marketing hire to build Gimlet's marketing function from the ground up. This is a hands-on role for someone who loves the craft of marketing: writing compelling content, directly engaging developer communities, and executing campaigns end-to-end.
Write and publish content for technical audiences, such as blog posts, case studies, white papers.
Define and continuously refine Gimlet’s positioning within the rapidly-changing AI inference market.
Own, drive, and optimize our marketing website, including positioning, messaging, structure.
Run Gimlet’s social media presence, engaging with developers and the AI community.
Plan, coordinate, and execute Gimlet’s presence at industry events such as AI Engineer Summit and PyTorch Conference.
Create sales collateral such as one-pagers, battle cards, and case studies.
Set up and run email campaigns for lead nurturing, product updates, and announcements.
Implement and maintain marketing analytics to measure what’s working and iterate.
3-7 years of startup marketing or developer relations experience in AI/ML infrastructure.
Strong writing skills with demonstrated ability to create content that resonates with technical audiences.
Familiarity with the AI inference ecosystem.
Comfortable getting hands on with technical products.
Proficiency with marketing tools and analytics platforms.
Hands-on marketing experience (writing content, running campaigns, managing events).
Comfort operating in an early stage startup environment as a sole marketer.
Direct experience marketing AI inference or GPU cloud products.
Speaker experience at developer events, webinars, and meetups.
Experience with open-source marketing strategies.
Experience building side projects or tinkering with AI models or open source.
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