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Field Engineering

Generative AI Product Specialist

Posted on 7/11/2024



5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics

Compensation Overview

$169k - $299kAnnually

+ Equity Awards


Remote in USA

Applied Machine Learning
Conversational AI & Chatbots
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Microsoft Azure
Data Science
Natural Language Processing (NLP)
Google Cloud Platform
  • 10+ years of engineering and pre-sales customer facing experience
  • ML experience as either an engineer or researcher
  • Strong software engineering skills with expertise in Python
  • Experience in a fast-paced, entrepreneurial environment
  • Expertise with enterprise cloud environments (AWS, Azure, GCP, OCI), technologies (e.g., kubernetes, containers), and the ML focused hardware accelerators (Nvidia A100s and H100s, AMD MI series, etc.)
  • Experience with Mosaic Composer and other ML technologies and frameworks (e.g., PyTorch)
  • Outstanding skills in presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Strong aptitude and willingness to learn and excel in new technologies and push the envelope of what is possible
  • Strong verbal and written communication skills and ability to lead effectively across organizations both internally and with customers
  • A minimum of a bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or equivalent experience through demonstrable work experience
  • Nice to have: experience in fast-growing startups in the AI space with a focus on GenAI, NLP, CV, and diffusion models.
  • Lead the enablement, expertise, and backline support for the customer-facing field team for Generative AI
  • Represent the product internally to field engineering teams and externally to the market via speaking at conferences, online webinars, and blog posts
  • Recruit, lead, encourage, and reward a group of specialists across the field dedicated to enabling Generative AI use cases on Databricks
  • Work hands-on with deeply technical customers as the engineering/research liaison to demonstrate and communicate Databricks’ GenAI products and value
  • Create and execute compelling demos to showcase Mosaic AI to specific customer’s industries and use cases by compiling data sets, data wrangling, model training, and communicating results
  • Support customers by assisting with initial model scoping and creation
  • Partner closely with sales and other Mosaic AI leaders to grow thought leadership and drive customer success
  • Proactively automate tasks as needed and partner closely with the product, engineering, and research teams to bring back information and ideas to drive the products forward
  • Define customer requirements and definitions, build demos, assist with proposals, solution briefs, and bring in professional services when needed
  • Participate in pre-sales on-site visits and be the go-to technical point person for initial customer interaction

Databricks provides a Lakehouse Platform integrating data management, analytics, and AI capabilities across a range of industries. Employing tools like Delta Lake and Databricks SQL enhances operational efficiency and precision. As a workplace, it offers a collaborative and technology-driven environment, promoting growth through cutting-edge machine learning solutions and a commitment to leading the industry in data innovation. This makes it an inspiring place for tech professionals to advance their careers in a vibrant and forward-thinking setting.

Company Stage

Series I

Total Funding



San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth



Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave