Sr. Manager, Engineering - AI Gateway (LLM Inference)

<p><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;">RDQ127R255</span></p> <p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">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.</span></p> <p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>The impact you will have&nbsp;</strong></span></p> <p class="p1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;">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.</span></p> <p class="p1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;">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.</span></p> <p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>What we look for</strong></span></p> <ul> <li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">8+ years of industry experience building and supporting large-scale data or production applications</span></li> <li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Experience building classic ML or GenAI systems.</span></li> <li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">A passion for building and scaling early-stage products</span></li> <li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Ability to adapt in a fast paced environment.&nbsp;</span></li> <li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Motivated by delivering customer value and impact.</span></li> <li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">Experience driving company initiatives towards customer satisfaction.</span></li> <li style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;">BS/MS/PhD in Computer Science or related majors, or equivalent experience.</span></li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">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.&nbsp; 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 spec