Together AI welcomes Kai Mak as CRO to accelerate gen AI adoption for AI natives and enterprises globally
At Together AI, we believe the future of Generative AI hinges on open research, open science, and trust among researchers, developers, and enterprises. Since inception, our vision has been to rapidly bring innovations from research to production. Our comprehensive platform empowers developers and businesses to seamlessly design, develop, and manage their entire generative AI lifecycle —from training and fine-tuning to inference— while offering the flexibility to work with both open-source and custom models.
We're proud that over 150,000 developers and companies, including Zomato, DuckDuckGo, and The Washington Post, use the Together Platform to power their Generative AI applications. Our solutions deliver unparalleled performance, accuracy, and cost while keeping models and data secure under user control. AI-native companies and enterprises like Cognition AI and Zoom are building and training their custom state-of-the-art models on our high-performance cloud. While we're incredibly proud of our progress, we're just getting started.
Today, I'm thrilled to announce that Kai Mak has joined Together AI as our Chief Revenue Officer. This marks our first C-level appointment outside the co-founding team and comes at a pivotal moment as we witness tremendous growth in both AI-native companies and enterprises leveraging our platform for their entire Generative AI lifecycle. His appointment signifies our commitment to not only technological innovation but also to building a world-class GTM organization capable of serving the evolving needs of the AI industry.
Kai brings a wealth of experience in building and scaling go-to-market teams. Most recently, as SVP of Global Sales and Customer Success at Webflow, Kai led both product-led growth and enterprise motions, scaling the company's revenue by an impressive 10x. During his tenure at Webflow, he also served as interim CMO for a year and led global support for multiple years. His prior roles at Xamarin and Microsoft have honed his expertise in working with developers and serving the needs of enterprises globally for their mission-critical cloud infrastructure workloads. His diverse experience makes him the ideal leader for our go-to-market organization.
“Joining Together AI comes at an inflection point in the AI industry. The company stands at a key point in its growth trajectory, rapid advancements in both open-weight and custom models are powering complex enterprise use cases—from customer support and gaming to RAG, search, and intelligent agents. The demand for robust, flexible AI infrastructure has never been higher, while at the same time respecting the data estate proprietary to each customer. My experience and passion for scaling go-to-market strategies align perfectly with the needs of Together AI as it empowers innovative leaders and disruptors across industries. This is a rare opportunity to set the foundation for long-term success, ensuring that the work we do today will drive value for many years to come – I’m thrilled to contribute.”
- Kai Mak, CRO
Kai's experience in managing the entire go-to-market function will be instrumental in addressing the massive commercial opportunities as businesses accelerate their Generative AI adoption. As the organization navigates this growth trajectory, his leadership will be instrumental in scaling our operations to meet the increasing demand for our products. With a unique blend of expertise in product-led growth and enterprise sales, Kai is well-positioned to drive our mission of serving businesses across the spectrum, from cutting-edge startups to established enterprises.
With Kai on board, I look forward to ushering in Together AI's next chapter as we establish ourselves as the AI Acceleration Cloud for businesses globally.
Join us in this mission. Check out the open positions and be part of shaping the future of Generative AI.
- Lower
Cost20% - faster
training4x - network
compression117x
Q: Should I use the RedPajama-V2 Dataset out of the box?
RedPajama-V2 is conceptualized as a pool of data that serves as a foundation for creating high quality datasets. The dataset is thus not intended to be used out of the box and, depending on the application, data should be filtered out using the quality signals that accompany the data. With this dataset, we take the view that the optimal filtering of data is dependent on the intended use. Our goal is to provide all the signals and tooling that enables this.
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