Engineering Manager, GenAI Products

San Francisco, California

Databricks

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Databricks Mosaic AI is building a brand new line of products which leverage generative AI to enable our customers to build enterprise data intelligence.

We are looking to hire an experienced engineering manager to lead a team of both backend and applied AI engineers building these products. 

You will thrive in this role if you love the 0 to 1 stage of building products and also have a strong desire to make a long-lasting impact in the AI space. This is a high-visibility role where you will work closely with senior leaders across the company, within engineering, as well as with product management, field engineering, recruiting and HR. You will be responsible for execution against product strategy, sustained hiring of the highest quality talent, and organizational design and alignment with peer/partner teams within and outside engineering.

The impact you will have:

  • Shape the direction and architecture of a new generative AI product line by working closely with your team of both backend and applied AI engineers, researchers, product management, and senior leadership
  • Ensure operational excellence and the overall success of the team’s products 
  • Oversee the recruitment and development of top-tier talent to build a cohesive and dynamic engineering team
  • Foster leadership within the team through coaching, and providing growth opportunities
  • Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction
  • Evolve the organizational structure to support long-term plans

What we look for:

  • 5+ years of experience as an IC and 2+ years of Engineering Management experience.
  • Technical strength in at least one (ideally both) of distributed systems and applied AI
  • Experience running large-scale production systems and the processes around operational excellence, testing, monitoring, and SLAs.
  • Strength in execution: ability to drive sprawling efforts across multiple product areas while keeping a close pulse on and course correcting team execution velocity
  • Ability to work cross functionally with AI research, product management, and partner engineering teams to deliver a roadmap
  • Ability to attract, hire, and mentor engineers of the highest caliber; experience in growing leaders and integrating top-tier talent.

We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.

COVID-19 Vaccination Requirement

As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Local Pay Range$222,000—$300,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Tags: Architecture Databricks Distributed Systems Engineering Excel Generative AI Machine Learning MLFlow ML infrastructure Research Spark Testing UX

Perks/benefits: Equity / stock options Health care Salary bonus Startup environment

Region: North America
Country: United States

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