As the Partnerships Manager for our Model Ecosystem, you will be the primary architect of Together AI’s model library. This is a high-impact, cross-functional role focused on bringing the world’s leading proprietary and open-source models onto the Together platform. You will navigate an ever-evolving landscape to negotiate non-standard, creative deals that provide developers with the best possible building blocks for AI applications.
You are a "deal-maker" who thrives in ambiguity. You will sit at the intersection of Product, Finance, and Marketing, ensuring that our model roadmap is not only technically superior but commercially viable and market-facing.
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160k - 230k+ equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy.
Open-source AI cloud. Fast inference and fine-tuning for open models.
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