Data Science Manager

Posted:
3/3/2025, 4:24:52 PM

Experience Level(s):
Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Workplace Type:
Remote

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.

Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.

Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.

Want to become a key part of the Generative AI revolution? We should talk.

We are seeking a Data Science Manager to lead a team of Data Scientists in developing and deploying state-of-the-art AI models. This includes LLMs (Large Language Models), Multimodal LLMs (MLLMs), and NLP/NLU-based solutions. Your role will involve driving AI innovation, fine-tuning strategies, ensuring scalability and governance, and working closely with engineering, product, and business teams to align AI/ML initiatives with Netomi’s product roadmap.
Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Netomi

Website: http://netomi.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 51-100

Year Founded: 2015

IPO Status: Private

Last Funding Type: Series B

Industries: Artificial Intelligence (AI) ⋅ Customer Service ⋅ Digital Marketing ⋅ Enterprise Software ⋅ Machine Learning ⋅ SaaS ⋅ Software