As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.

POSITION OVERVIEW

We are looking for an experienced Machine Learning Engineer Manager to join our growing efforts in machine learning and generative AI. You’ll lead our MLOps team within Data Science, working with our Data Scientists, Knowledge Experts and Developers to build a first class production machine learning infrastructure to support our customers’ models and our advanced internal development using a variety of cutting edge approaches in the deep learning and the genAI space.

• You’ll serve as a team lead, manager and mentor to a team of Machine Learning Engineers tasked with MLOps
• Working with our Data Science and Engineering teams, you will help build production features that leverage our machine learning and genAI technologies
• You will develop infrastructure and process for rapid machine learning prototyping, continuous deployment, and evaluation with customers
• You will help develop and support our platform for out of the box and custom trained customer AI models
• You’ll participate in large-scale project planning and stakeholder education
• Other duties as assigned