Senior Engineering Manager, Primer

• 10+ years of experience in software engineering, with at least 5 years in a technical leadership role
• Experience leading enterprise software technical projects end-to-end in an agile environment on any major cloud provider (AWS, GCP, Azure, etc)
• Experience with ingesting massive datasets, and leveraging techniques for event and topic detection, relation extraction, summarization, entity recognition, document classification, multilingual NLP and knowledge base generation
• Experience with working with distributed systems, and deploying AI/ML models in production environments at scale
• Proficiency in programming languages such as Python, Golang, or Java
• Strong communication and interpersonal skills, with the ability to lead and inspire a team

Desirable

• As Senior Engineering Manager, you will oversee the development of new AI and ML features for our Delta knowledge management platform
• You will be responsible for cultivating accurate estimations of work, and motivating a group of talented software engineers across multiple disciplines (ML, BE, FE)
• Additionally, you will take the lead on building new, or updating existing model-driven capabilities, working cross-functionally with teams in Product, Design, and Data Science to solve technical challenges using our natural language processing and machine learning technology
• We believe in creating an environment that encourages and creates opportunities for growth
• Whether it’s helping create and contribute to a set of architectural principles, or proposing new processes or best practices, we need engineering managers that have remained hands-on and technical to help ensure things run smoothly, at a sustainable, but robust pace
• This role requires a unique blend of technical expertise, leadership skills, and a deep understanding of AI and ML applications
• Oversee a team of software engineers, aligned toward a culture of innovation and collaboration
• Facilitate discussions of scope and timing, accountable for timely execution at high quality. You own arriving at an estimate, and will be held to the actual
• Work with machine learning engineers and data scientists to extend the platform’s capabilities to new models and algorithms while overseeing performance metrics
• Partner with Product Management to build functionality atop an extensible system design that you help develop, one that aids in predictability, delivery time and reliability