Director, Engineering - Databricks Mosaic AI at Databricks Canada ULC

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

354800.0

Posted On

16 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Large-Scale Data Applications, Production Applications, ML Systems, GenAI Systems, Early-Stage Products, Customer Value, Customer Satisfaction, Technical Challenges, UI/UX Design, Data Insights, AI Infrastructure, Product Launch, Team Leadership, Innovation, Adaptability, Collaboration

Industry

Software Development

Description

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. The impact you will have Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. And now we’re bringing Mosaic AI to our newly opened NYC AI Engineering Hub. As the Director of Engineering in NYC, you will be leading teams building multiple products enabling our customers to use innovative ML/AI techniques to add value to their business. You will work closely with product and research on cutting-edge technologies and be responsible for launching and growing new products and play a key role in defining the future of how AI and Data applications are built. What we look for 10+ years of industry experience building and supporting large-scale data or production applications Experience building classic ML or GenAI systems. A passion for building and scaling early-stage products Ability to adapt in a fast paced environment. Motivated by delivering customer value and impact. Experience driving company initiatives towards customer satisfaction. BS/MS/PhD in Computer Science or related majors, or equivalent experience. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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 $255,900—$354,800 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 Twitter, LinkedIn 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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Responsibilities

As the Director of Engineering, you will lead teams building multiple products that enable customers to utilize innovative ML/AI techniques. You will collaborate closely with product and research teams to launch and grow new products, shaping the future of AI and Data applications.