Senior Manager, Engineering - AI Gateway (LLM Inference)
DatabricksRole Overview
Databricks is hiring a Senior Manager, Engineering - AI Gateway (LLM Inference). This is a full-time role in New York. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
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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.
The impact you will have
As the Sr. Manager of Engineering in our newly opened NYC engineering hub, you will be leading teams building multiple products that enable 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, playing a key role in defining the future of how AI and data applications are built.
The Databricks AI Gateway is an enterprise control plane for governing, routing, and monitoring LLM endpoints, coding agents, and model serving endpoints on Databricks. AI Gateway lets you standardize, secure, and observe all LLM inference traffic on Databricks, while capturing detailed production data to manage cost, performance, and quality over time.
What we look for
- 8+ 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.
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 click here.
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.
Frequently Asked Questions
How do I apply for the Senior Manager, Engineering - AI Gateway (LLM Inference) position at Databricks?
Use the Apply button above to submit your application directly to Databricks. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Manager, Engineering - AI Gateway (LLM Inference) position at Databricks located?
This position is based in New York. Databricks has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Manager, Engineering - AI Gateway (LLM Inference) at Databricks earn?
Databricks has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Manager, Engineering - AI Gateway (LLM Inference) role at Databricks posted?
This role was posted on April 9, 2026 (69 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Manager, Engineering - AI Gateway (LLM Inference) role at Databricks require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Databricks lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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