Senior Engineering Manager, Enterprise AI
About The Position
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
- 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
- Working with Product Managers to define what capabilities should be built in the product
- Working with Product Managers to understand customer use cases and help them use our products effectively
- Responsible for the growth of your reports
- Fill in, to address gaps in process / practices followed by the team / organization
- Lead by example
Benefits
- Generous PTO Policy
- Support work life balance with Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement program
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
