Senior Engineering Manager, Enterprise AI

Cloudera•Austin, CT

2d•Hybrid

About The Position

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. At Cloudera, our Data Services Pillar is the heart of data innovation. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. Cloudera is looking for a Senior Engineering Manager with a strong technical background to help manage the team(s) located in Santa Clara, California or in North America to help drive the development of Cloudera’s next-generation AI and machine learning platform. You will be responsible for managing a team that will design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale. We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth. Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here.

Requirements

10+ years of experience in building enterprise software and 4+ years of management experience
Bsc/Msc in related field or equivalent experience
Experience building enterprise AI infrastructure and deploying production generative AI applications & agents leveraging open source foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and/or Generative AI frameworks (LangChain, Guidance, etc.)
Strong written and oral communication skills
Good understanding of Engineering best practices
Experience with containerization frameworks like Kubernetes, Docker
Strong Understanding of Distributed Systems and building systems at scale
Should be able to drive the architecture/design and provide technical direction & guidance to the team
Self-driven and motivated, with a strong sense of ownership and craftsmanship

Nice To Haves

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark, mlflow etc.)
Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)
Experience with cloud technologies (AWS, GCE, Azure)
Experience using Big Data technologies like Spark, Hive etc.

Responsibilities

Responsible for working with Product Managers to define what capabilities should be built in the product
Work with Product Managers to understand customer use cases and help them use our products effectively
Responsible for the growth of your reports
Able to fill in, to address gaps in process / practices followed by the team / organization
As a leader you should be able to lead by example