Designs and manages billing systems for Databricks products across cloud providers, handling usage metering, pricing strategies, and cost optimization using AI. Requires 9+ years experience with distributed systems, data pipelines, and leadership skills.
Leads product vision, strategy, and roadmap for Databricks Compute Platform (Classic, SQL Warehouses, Serverless). Collaborates cross-functionally with engineering, customers, and stakeholders to deliver high-impact features. Requires 5+ years PM experience in cloud/data platforms and CS background.
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.
Drive product vision and strategy for Databricks AI platform, partnering with engineering and research to transform AI breakthroughs into scalable enterprise tools. Requires 5+ years PM experience, strong technical background in AI/ML, and SQL analytics skills.
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 product vision, strategy, and execution for Unity Catalog governance platform. Drives new security features, platform services, and customer adoption, requiring 5+ years B2B PM experience and data tech background.
Leads product vision, strategy, and execution for Unity Catalog governance and security features in Databricks Lakehouse platform. Requires 5+ years B2B PM experience, CS background, and expertise in data infrastructure for enterprise customers.
Defines vision, architecture, and strategy for Databricks' app and partner ecosystem. Builds frameworks, APIs, and tools for seamless integrations; leads engineering teams and requires 10+ years in data-intensive systems.
Senior Product Manager shapes vision, strategy, and roadmap for Databricks Free Edition to make data and AI learning engaging and accessible. Collaborates cross-functionally, engages users, and defines success metrics; requires 5+ years PM experience in data/AI.
Leads a team of data scientists to deliver data-driven solutions for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
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.
Owns product strategy for self-improving AI agents automating 98% of enterprise support workflows across voice, chat, and regulated industries. Requires 5+ years PM/engineering experience, real-time systems knowledge, and hands-on coding (1+ year).
Integrates autonomy software stack for AI robotics platforms, including multi-agent systems, sensor processing, and hardware deployment across simulation, HIL, and flight environments. Requires 7+ years experience, Python/C++, CI/CD expertise, and strong systems integration skills.
Leads hands-on integration and testing of autonomy systems on small unmanned aircraft, debugging issues across hardware, software, and flight environments. Requires 4-7 years experience in robotics/aerospace testing, Python/C++ proficiency, and bachelor's in engineering or related field.
Build AI agent systems for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evals. Requires 3+ years experience, Python proficiency, and LLM/agent framework expertise for mid/senior/staff levels.
Leads engineering team building LangSmith AI observability platform for LLM apps. Mentors engineers, shapes technical direction, partners with product/design, codes in Go/Python/TypeScript, and engages customers. Requires strong full-stack experience and data-intensive systems design.
Entry-level SDR generates leads and builds pipelines through outbound calling, emails, and research, targeting Portuguese-speaking prospects. Requires passion for tech sales, fluent Portuguese/English, and strong communication skills.
Serves as in-house AI policy expert, conducting research, developing messaging strategies, and advising Democratic stakeholders on AI regulation, safety, and societal impacts. Requires 2-5 years in tech policy or campaigns, strong communication skills, and survey research familiarity.
Fullstack engineer driving ChatGPT user growth through data analysis, product experiments, backend APIs, and web optimizations like SEO and notifications. Requires analytical skills, A/B testing experience, and comfort with ambiguity.
Leads revenue operations for Sales and Client Management teams in high-growth SaaS healthcare company. Designs infrastructure for complex broker-led sales, owns forecasting, workflows, training, and tech stack evolution (Salesforce, Outreach). Requires 10+ years RevOps experience, Bachelor's degree.
Leads integration of electrical, thermal, mechanical, and networking systems in modular data centers for high-density AI compute. Ensures compatibility with power sources, optimizes thermal management, and supports transition to liquid cooling with 6+ years systems engineering experience.
Builds and scales backend services and full-stack features powering healthcare logistics, patient booking, clinician routing, and device integrations. Requires 5+ years experience in production systems, APIs, and high-growth environments.
Leads technical enablement and training programs to drive Sentry platform adoption for customers, partners, and employees. Requires 5+ years in technical training, deep SDLC knowledge, and strong communication skills.
Drives new business growth selling intelligence platform to U.S. Department of Defense and Federal Intelligence Community. Runs full sales cycles, exceeds quotas, and expands National Security territory with 5+ years federal sales experience.
Leads cross-functional verification and validation programs for autonomous vehicle safety, coordinating across software, hardware, and operations teams to meet performance and reliability requirements. Requires 7+ years in technical program management, preferably in automotive or robotics.
Build UI-first GenAI applications for complex data workflows and visualizations in NYC office. Requires 10+ years in fullstack development with strong frontend architecture, modern JS frameworks, and server-side technologies.
Leads IAM teams to build and operate enterprise identity, authentication, authorization, and governance systems at global scale. Requires 8-12+ years experience in security/identity engineering, deep IAM expertise, cloud architecture (AWS/GCP/Azure), and Zero Trust principles.
Leads development of AI-powered, full-stack cloud-native applications for enterprise workflows. Requires 12+ years experience, 3+ years technical leadership, and strong full-stack expertise.
Leads development of end-to-end AI-powered full-stack applications for enterprise workflows at Databricks. Requires 12+ years software engineering experience with 3+ years technical leadership in cloud-native systems.
Senior Software Engineer designs and automates networking infrastructure for large-scale compute clusters across cloud providers, ensuring secure connectivity for data/AI workloads. Requires 5+ years in Python/Java/Scala/C++ and 4+ years in distributed systems.
Designs and automates networking infrastructure for large-scale Databricks compute clusters across cloud providers. Requires 5+ years in Python/Java/Scala/C++ and 4+ years in distributed systems with networking expertise.
Leads architecture, development, and optimization of GenAI inference engine for high-throughput, low-latency LLM serving. Requires 6+ years in performance-critical systems, deep ML inference expertise, CUDA/GPU programming, and distributed systems.
Designs, develops, and optimizes GenAI inference engine for LLMs, focusing on performance, scalability, and efficiency across the full stack. Requires 3+ years in performance-critical systems, CUDA/GPU expertise, and ML inference knowledge.
Designs, implements, and optimizes high-performance GPU kernels for GenAI inference stack. Leads performance improvements, mentors engineers, and collaborates with ML and systems teams. Requires deep kernel programming and GPU architecture expertise.
Designs and builds scalable infrastructure for high-throughput, low-latency AI/ML model serving on CPU/GPU. Requires 5+ years in distributed systems, inference expertise, and strong system design skills.
Designs and builds scalable, low-latency systems for serving frontier AI models on GPUs. Requires 10+ years in large-scale distributed systems, strong system design skills, and leadership in operational excellence; no prior AI experience needed.
Designs and builds scalable, low-latency model serving infrastructure for AI/ML models across CPU/GPU workloads. Requires 10+ years in large-scale distributed systems and deep expertise in inference systems, architecture, and cross-team collaboration.
Sr. Software Engineer on Money team designs and manages billing systems, develops pricing primitives, enhances infrastructure reliability, and uses AI for cost optimization across major cloud providers. Requires BS in CS and experience with distributed services at scale.
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.
Lead engineering for Materialized Views at Databricks, designing scalable systems for ETL and query acceleration. Requires 15+ years in distributed systems, deep expertise in databases/storage, and strong algorithms knowledge.
Builds secure distributed systems to protect customer data in Databricks' data and AI platform. Requires 5+ years in data security, expertise in areas like Kubernetes security and cryptography, plus MS/PhD and leadership skills.
Leads development of IAM and security systems at scale to protect customer data on Databricks platform. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.
Leads data security product strategy for Databricks Lakehouse, delivering controls for privacy, compliance, and access. Requires 7+ years PM experience and deep expertise in data security, privacy, encryption across multi-cloud environments.
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.
Leads data security product strategy for Databricks Lakehouse, delivering controls for privacy, compliance, and access management across multi-cloud environments. Requires 7+ years PM experience and deep expertise in data security, privacy, and encryption.
Leads IAM and security engineering to secure Databricks' data platform, plugging infrastructure gaps and building scalable systems. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
Leads security infrastructure engineering at Databricks, plugging critical gaps in large-scale systems, with 15+ years experience in distributed systems and 9+ in data security areas like Kubernetes security and cryptography. Requires MS/PhD and strong leadership.
Leads development of secure IAM systems for Databricks' data and AI platform, plugging security gaps and building highly available distributed systems. Requires 7+ years in data security, 10+ years in distributed systems, MS/PhD, and expertise in IAM, Kubernetes, cryptography.
Leads privacy and security engineering to secure Databricks' data platform, identifies infrastructure gaps, and drives strategy. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
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.
Designs and manages billing systems for Databricks products across cloud providers, handling usage metering, pricing strategies, and cost optimization using AI. Requires 9+ years experience with distributed systems, data pipelines, and leadership skills.
Leads product vision, strategy, and roadmap for Databricks Compute Platform (Classic, SQL Warehouses, Serverless). Collaborates cross-functionally with engineering, customers, and stakeholders to deliver high-impact features. Requires 5+ years PM experience in cloud/data platforms and CS background.
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.
Drive product vision and strategy for Databricks AI platform, partnering with engineering and research to transform AI breakthroughs into scalable enterprise tools. Requires 5+ years PM experience, strong technical background in AI/ML, and SQL analytics skills.
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 product vision, strategy, and execution for Unity Catalog governance platform. Drives new security features, platform services, and customer adoption, requiring 5+ years B2B PM experience and data tech background.
Leads product vision, strategy, and execution for Unity Catalog governance and security features in Databricks Lakehouse platform. Requires 5+ years B2B PM experience, CS background, and expertise in data infrastructure for enterprise customers.
Defines vision, architecture, and strategy for Databricks' app and partner ecosystem. Builds frameworks, APIs, and tools for seamless integrations; leads engineering teams and requires 10+ years in data-intensive systems.
Senior Product Manager shapes vision, strategy, and roadmap for Databricks Free Edition to make data and AI learning engaging and accessible. Collaborates cross-functionally, engages users, and defines success metrics; requires 5+ years PM experience in data/AI.
Leads a team of data scientists to deliver data-driven solutions for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
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.
Owns product strategy for self-improving AI agents automating 98% of enterprise support workflows across voice, chat, and regulated industries. Requires 5+ years PM/engineering experience, real-time systems knowledge, and hands-on coding (1+ year).
Integrates autonomy software stack for AI robotics platforms, including multi-agent systems, sensor processing, and hardware deployment across simulation, HIL, and flight environments. Requires 7+ years experience, Python/C++, CI/CD expertise, and strong systems integration skills.
Leads hands-on integration and testing of autonomy systems on small unmanned aircraft, debugging issues across hardware, software, and flight environments. Requires 4-7 years experience in robotics/aerospace testing, Python/C++ proficiency, and bachelor's in engineering or related field.
Build AI agent systems for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evals. Requires 3+ years experience, Python proficiency, and LLM/agent framework expertise for mid/senior/staff levels.
Leads engineering team building LangSmith AI observability platform for LLM apps. Mentors engineers, shapes technical direction, partners with product/design, codes in Go/Python/TypeScript, and engages customers. Requires strong full-stack experience and data-intensive systems design.
Entry-level SDR generates leads and builds pipelines through outbound calling, emails, and research, targeting Portuguese-speaking prospects. Requires passion for tech sales, fluent Portuguese/English, and strong communication skills.
Serves as in-house AI policy expert, conducting research, developing messaging strategies, and advising Democratic stakeholders on AI regulation, safety, and societal impacts. Requires 2-5 years in tech policy or campaigns, strong communication skills, and survey research familiarity.
Fullstack engineer driving ChatGPT user growth through data analysis, product experiments, backend APIs, and web optimizations like SEO and notifications. Requires analytical skills, A/B testing experience, and comfort with ambiguity.
Leads revenue operations for Sales and Client Management teams in high-growth SaaS healthcare company. Designs infrastructure for complex broker-led sales, owns forecasting, workflows, training, and tech stack evolution (Salesforce, Outreach). Requires 10+ years RevOps experience, Bachelor's degree.
Leads integration of electrical, thermal, mechanical, and networking systems in modular data centers for high-density AI compute. Ensures compatibility with power sources, optimizes thermal management, and supports transition to liquid cooling with 6+ years systems engineering experience.
Builds and scales backend services and full-stack features powering healthcare logistics, patient booking, clinician routing, and device integrations. Requires 5+ years experience in production systems, APIs, and high-growth environments.
Leads technical enablement and training programs to drive Sentry platform adoption for customers, partners, and employees. Requires 5+ years in technical training, deep SDLC knowledge, and strong communication skills.
Drives new business growth selling intelligence platform to U.S. Department of Defense and Federal Intelligence Community. Runs full sales cycles, exceeds quotas, and expands National Security territory with 5+ years federal sales experience.
Leads cross-functional verification and validation programs for autonomous vehicle safety, coordinating across software, hardware, and operations teams to meet performance and reliability requirements. Requires 7+ years in technical program management, preferably in automotive or robotics.
Build UI-first GenAI applications for complex data workflows and visualizations in NYC office. Requires 10+ years in fullstack development with strong frontend architecture, modern JS frameworks, and server-side technologies.
Leads IAM teams to build and operate enterprise identity, authentication, authorization, and governance systems at global scale. Requires 8-12+ years experience in security/identity engineering, deep IAM expertise, cloud architecture (AWS/GCP/Azure), and Zero Trust principles.
Leads development of AI-powered, full-stack cloud-native applications for enterprise workflows. Requires 12+ years experience, 3+ years technical leadership, and strong full-stack expertise.
Leads development of end-to-end AI-powered full-stack applications for enterprise workflows at Databricks. Requires 12+ years software engineering experience with 3+ years technical leadership in cloud-native systems.
Senior Software Engineer designs and automates networking infrastructure for large-scale compute clusters across cloud providers, ensuring secure connectivity for data/AI workloads. Requires 5+ years in Python/Java/Scala/C++ and 4+ years in distributed systems.
Designs and automates networking infrastructure for large-scale Databricks compute clusters across cloud providers. Requires 5+ years in Python/Java/Scala/C++ and 4+ years in distributed systems with networking expertise.
Leads architecture, development, and optimization of GenAI inference engine for high-throughput, low-latency LLM serving. Requires 6+ years in performance-critical systems, deep ML inference expertise, CUDA/GPU programming, and distributed systems.
Designs, develops, and optimizes GenAI inference engine for LLMs, focusing on performance, scalability, and efficiency across the full stack. Requires 3+ years in performance-critical systems, CUDA/GPU expertise, and ML inference knowledge.
Designs, implements, and optimizes high-performance GPU kernels for GenAI inference stack. Leads performance improvements, mentors engineers, and collaborates with ML and systems teams. Requires deep kernel programming and GPU architecture expertise.
Designs and builds scalable infrastructure for high-throughput, low-latency AI/ML model serving on CPU/GPU. Requires 5+ years in distributed systems, inference expertise, and strong system design skills.
Designs and builds scalable, low-latency systems for serving frontier AI models on GPUs. Requires 10+ years in large-scale distributed systems, strong system design skills, and leadership in operational excellence; no prior AI experience needed.
Designs and builds scalable, low-latency model serving infrastructure for AI/ML models across CPU/GPU workloads. Requires 10+ years in large-scale distributed systems and deep expertise in inference systems, architecture, and cross-team collaboration.
Sr. Software Engineer on Money team designs and manages billing systems, develops pricing primitives, enhances infrastructure reliability, and uses AI for cost optimization across major cloud providers. Requires BS in CS and experience with distributed services at scale.
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.
Lead engineering for Materialized Views at Databricks, designing scalable systems for ETL and query acceleration. Requires 15+ years in distributed systems, deep expertise in databases/storage, and strong algorithms knowledge.
Builds secure distributed systems to protect customer data in Databricks' data and AI platform. Requires 5+ years in data security, expertise in areas like Kubernetes security and cryptography, plus MS/PhD and leadership skills.
Leads development of IAM and security systems at scale to protect customer data on Databricks platform. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.
Leads data security product strategy for Databricks Lakehouse, delivering controls for privacy, compliance, and access. Requires 7+ years PM experience and deep expertise in data security, privacy, encryption across multi-cloud environments.
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.
Leads data security product strategy for Databricks Lakehouse, delivering controls for privacy, compliance, and access management across multi-cloud environments. Requires 7+ years PM experience and deep expertise in data security, privacy, and encryption.
Leads IAM and security engineering to secure Databricks' data platform, plugging infrastructure gaps and building scalable systems. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
Leads security infrastructure engineering at Databricks, plugging critical gaps in large-scale systems, with 15+ years experience in distributed systems and 9+ in data security areas like Kubernetes security and cryptography. Requires MS/PhD and strong leadership.
Leads development of secure IAM systems for Databricks' data and AI platform, plugging security gaps and building highly available distributed systems. Requires 7+ years in data security, 10+ years in distributed systems, MS/PhD, and expertise in IAM, Kubernetes, cryptography.
Leads privacy and security engineering to secure Databricks' data platform, identifies infrastructure gaps, and drives strategy. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
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.