Business Area:

Seniority Level:

Job Description:

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 .

As a Senior Engineering Manager you will:

• As a Senior Engineering Manager you would be responsible for working with Product Managers to define what capabilities should be built in the product  

• You will have to work with Product Managers to understand customer use cases and help them use our products effectively 

• You will be responsible for the growth of your reports

• You should be 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

We are excited if you have (Required Experience):

• 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

You may also have:

• 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

What you can expect from us:

• Generous PTO Policy 

• Support work life balance with

• Flexible WFH Policy 

• Mental & Physical Wellness programs 

• Phone and Internet Reimbursement program 

• Access to Continued Career Development 

• Comprehensive Benefits and Competitive Packages 

• Employee Resource Groups