Lead a team of pre-sales managers and solutions architects in the Financial Services vertical to acquire new enterprise customers and drive Data & AI adoption with Databricks. Requires 10+ years leadership experience including 3+ years of second-line management of 30+ person teams, plus proven high-growth enterprise pre-sales success.
Lead and scale a team of Forward Deployed Engineers delivering large-scale data migrations, AI/ML, and GenAI solutions for Public Sector customers. Requires 4+ years people leadership and 5+ years hands-on technical experience in data/AI engineering or solutions architecture.
Lead engineering team building Databricks AI Runtime for large-scale GPU model training and fine-tuning. Own product experience, distributed training infrastructure, reliability, and roadmap while collaborating across product, research, and platform teams. Requires 8+ years software engineering and 3+ years management experience with deep GPU training expertise.
Lead and manage a team of Solutions Architects in the Manufacturing and HiTech segment, driving pre-sales activities for Databricks' Data + AI platform. Requires 7+ years in Data+AI and 3+ years leading technical pre-sales teams, with a focus on hiring, coaching, customer success, and hitting sales targets.
Lead and manage a team of Solutions Architects in the Manufacturing segment, focusing on pre-sales for Databricks' Data + AI platform. Partner with sales to drive revenue and customer success while building team culture, technical expertise, and architectural best practices. Requires 7+ years in Data+AI and 3+ years leading pre-sales teams.
Lead and scale a team of Forward Deployed Engineers and AI Engineers delivering large-scale data migrations, AI/ML platforms, and enterprise engagements for strategic Databricks customers.
Engineering Manager owning end-to-end delivery and scaling of a new Execution Sandbox service powering non-Spark compute workloads across AWS, Azure, and GCP. Requires 5+ years managing engineers on distributed systems and deep infrastructure fluency.
Lead and scale the AI Forward Deployed Engineering team for public sector customers, driving AI transformation engagements, building executive relationships, and shaping product and GTM strategy. Requires deep ML/GenAI expertise, proven team leadership, and a graduate degree or equivalent.
Lead a high-performing engineering team focused on data visualization, leveraging AI/BI Dashboards. Oversee talent development, strategic execution, and operational excellence while managing technical debt and an ambitious product roadmap.
Lead and scale a team building core application platform infrastructure and service frameworks used by every microservice at Databricks. Requires 8+ years in large-scale distributed systems and 4+ years of engineering management.
Hands-on engineering manager to lead the Configuration Platform team at Databricks, overseeing distributed systems that manage feature flags and configuration across AWS, Azure, and GCP at massive scale. Requires 5+ years of platform/infrastructure team management experience and deep distributed systems expertise.
Leads a team of Account Executives hunting new VC-backed startup logos, driving revenue through new business acquisition and exceeding sales targets. Requires 3+ years sales leadership in Data/AI/Infrastructure, coaching skills, and C-suite presentation experience.
Leads engineering teams building and scaling foundational infrastructure for Trust & Safety in a data/AI platform, focusing on reliability, security, and performance at cloud scale. Requires significant leadership experience in distributed systems and technical oversight skills.
Leads a team of Solutions Architects to drive Databricks platform adoption among digital native tech companies, focusing on technical qualification of workloads, building POCs, and establishing trusted advisor relationships. Requires 7+ years in data technologies and 5+ years leading customer-facing technical teams.
Leads a team of Solutions Architects to drive Databricks platform adoption at top tech companies, focusing on data, analytics, and AI workloads. Requires 4+ years in data technologies and 3+ years leading technical customer-facing teams.
Leads a team of Solutions Architects serving Intelligence Community, Navy, Air Force, and Space Force customers. Drives technical sales strategy, hires and trains SAs, and ensures customer success with Databricks data/AI platforms. Requires 5+ years in data technologies or IC/DoD missions.
Engineering Manager leading development of next-generation low-latency, multi-tenant Databricks SQL Control Plane. Requires 5+ years in database systems, building highly available cloud services on AWS/GCP/Azure, and managing high-performance engineering teams.
Lead Pipelines Engine team building next-gen ETL features and Agentic Data Engineering infrastructure for Databricks Lakeflow platform. Requires 3+ years managing engineering teams and 5+ years in data infrastructure like Apache Spark.
Leads engineering team building AI-driven customer experience intelligence systems for support workflows, self-service, and product health at Databricks. Requires 10+ years in customer-facing tools and 5+ years leading engineering teams.
Leads engineering team building and operating large-scale compute infrastructure platform supporting Databricks workloads across clouds. Requires 3+ years management and 10+ years in distributed systems with cloud/container expertise.
Leads engineering team building scalable Vector, Keyword, and Hybrid Search services for AI applications. Requires 5+ years in search/database systems, strong leadership, and BS in Computer Science.
Leads Notebook Dataplane team to build scalable stateful user code execution service for serverless products. Requires 10+ years software engineering, 3+ years management, and expertise in distributed systems and cloud platforms.
Leads engineering team building unified Workspace Platform infrastructure for Databricks products like content discovery and collaborative editing. Requires 15+ years software engineering, 5+ years management, and expertise in distributed systems and cloud platforms.
Leads global enterprise engineering, building teams to secure and scale cloud infrastructure, IAM, endpoints, and collaboration tools. Requires 10+ years in cloud management, AWS expertise, and remote leadership.
Leads engineering team in UI Platform to enhance developer productivity via fast dev loops or unified interfaces using React, TypeScript, and GraphQL. Requires 5+ years frontend experience and 2+ years management of distributed teams.
Engineering Manager leading IAM team to scale authentication, authorization, and identity services for Databricks' data and AI platform. Requires 5+ years leadership, deep IAM expertise, and experience with large-scale secure systems.
Engineering manager leading Spark Structured Streaming development, enhancing stream processing with advanced features and performance improvements. Requires 5+ years in big data/Spark, team leadership, and distributed systems expertise.
Leads engineering team building security foundations for Databricks' data and AI platform, focusing on secure frameworks, compliance, and cross-functional partnerships. Requires strong engineering management experience and deep security expertise.
Lead a team of pre-sales managers and solutions architects in the Financial Services vertical to acquire new enterprise customers and drive Data & AI adoption with Databricks. Requires 10+ years leadership experience including 3+ years of second-line management of 30+ person teams, plus proven high-growth enterprise pre-sales success.
Lead and scale a team of Forward Deployed Engineers delivering large-scale data migrations, AI/ML, and GenAI solutions for Public Sector customers. Requires 4+ years people leadership and 5+ years hands-on technical experience in data/AI engineering or solutions architecture.
Lead engineering team building Databricks AI Runtime for large-scale GPU model training and fine-tuning. Own product experience, distributed training infrastructure, reliability, and roadmap while collaborating across product, research, and platform teams. Requires 8+ years software engineering and 3+ years management experience with deep GPU training expertise.
Lead and manage a team of Solutions Architects in the Manufacturing and HiTech segment, driving pre-sales activities for Databricks' Data + AI platform. Requires 7+ years in Data+AI and 3+ years leading technical pre-sales teams, with a focus on hiring, coaching, customer success, and hitting sales targets.
Lead and manage a team of Solutions Architects in the Manufacturing segment, focusing on pre-sales for Databricks' Data + AI platform. Partner with sales to drive revenue and customer success while building team culture, technical expertise, and architectural best practices. Requires 7+ years in Data+AI and 3+ years leading pre-sales teams.
Lead and scale a team of Forward Deployed Engineers and AI Engineers delivering large-scale data migrations, AI/ML platforms, and enterprise engagements for strategic Databricks customers.
Engineering Manager owning end-to-end delivery and scaling of a new Execution Sandbox service powering non-Spark compute workloads across AWS, Azure, and GCP. Requires 5+ years managing engineers on distributed systems and deep infrastructure fluency.
Lead and scale the AI Forward Deployed Engineering team for public sector customers, driving AI transformation engagements, building executive relationships, and shaping product and GTM strategy. Requires deep ML/GenAI expertise, proven team leadership, and a graduate degree or equivalent.
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Lead a high-performing engineering team focused on data visualization, leveraging AI/BI Dashboards. Oversee talent development, strategic execution, and operational excellence while managing technical debt and an ambitious product roadmap.
Lead and scale a team building core application platform infrastructure and service frameworks used by every microservice at Databricks. Requires 8+ years in large-scale distributed systems and 4+ years of engineering management.
Hands-on engineering manager to lead the Configuration Platform team at Databricks, overseeing distributed systems that manage feature flags and configuration across AWS, Azure, and GCP at massive scale. Requires 5+ years of platform/infrastructure team management experience and deep distributed systems expertise.
Leads a team of Account Executives hunting new VC-backed startup logos, driving revenue through new business acquisition and exceeding sales targets. Requires 3+ years sales leadership in Data/AI/Infrastructure, coaching skills, and C-suite presentation experience.
Leads engineering teams building and scaling foundational infrastructure for Trust & Safety in a data/AI platform, focusing on reliability, security, and performance at cloud scale. Requires significant leadership experience in distributed systems and technical oversight skills.
Leads a team of Solutions Architects to drive Databricks platform adoption among digital native tech companies, focusing on technical qualification of workloads, building POCs, and establishing trusted advisor relationships. Requires 7+ years in data technologies and 5+ years leading customer-facing technical teams.
Leads a team of Solutions Architects to drive Databricks platform adoption at top tech companies, focusing on data, analytics, and AI workloads. Requires 4+ years in data technologies and 3+ years leading technical customer-facing teams.
Leads a team of Solutions Architects serving Intelligence Community, Navy, Air Force, and Space Force customers. Drives technical sales strategy, hires and trains SAs, and ensures customer success with Databricks data/AI platforms. Requires 5+ years in data technologies or IC/DoD missions.
Engineering Manager leading development of next-generation low-latency, multi-tenant Databricks SQL Control Plane. Requires 5+ years in database systems, building highly available cloud services on AWS/GCP/Azure, and managing high-performance engineering teams.
Lead Pipelines Engine team building next-gen ETL features and Agentic Data Engineering infrastructure for Databricks Lakeflow platform. Requires 3+ years managing engineering teams and 5+ years in data infrastructure like Apache Spark.
Leads engineering team building AI-driven customer experience intelligence systems for support workflows, self-service, and product health at Databricks. Requires 10+ years in customer-facing tools and 5+ years leading engineering teams.
Leads engineering team building and operating large-scale compute infrastructure platform supporting Databricks workloads across clouds. Requires 3+ years management and 10+ years in distributed systems with cloud/container expertise.
Leads engineering team building scalable Vector, Keyword, and Hybrid Search services for AI applications. Requires 5+ years in search/database systems, strong leadership, and BS in Computer Science.
Leads Notebook Dataplane team to build scalable stateful user code execution service for serverless products. Requires 10+ years software engineering, 3+ years management, and expertise in distributed systems and cloud platforms.
Leads engineering team building unified Workspace Platform infrastructure for Databricks products like content discovery and collaborative editing. Requires 15+ years software engineering, 5+ years management, and expertise in distributed systems and cloud platforms.
Leads global enterprise engineering, building teams to secure and scale cloud infrastructure, IAM, endpoints, and collaboration tools. Requires 10+ years in cloud management, AWS expertise, and remote leadership.
Leads engineering team in UI Platform to enhance developer productivity via fast dev loops or unified interfaces using React, TypeScript, and GraphQL. Requires 5+ years frontend experience and 2+ years management of distributed teams.
Engineering Manager leading IAM team to scale authentication, authorization, and identity services for Databricks' data and AI platform. Requires 5+ years leadership, deep IAM expertise, and experience with large-scale secure systems.
Engineering manager leading Spark Structured Streaming development, enhancing stream processing with advanced features and performance improvements. Requires 5+ years in big data/Spark, team leadership, and distributed systems expertise.
Leads engineering team building security foundations for Databricks' data and AI platform, focusing on secure frameworks, compliance, and cross-functional partnerships. Requires strong engineering management experience and deep security expertise.