Request ID: 7829-1 Start/End Dates: 8/26/2026 - 8/25/2027 Tax Work Location: Jersey City Job Title: Information Technology - Backend IT Developer III Pay rate : 70 - 71/hr Max Job Description: Sitecore Developer: Sitecore developer with strong emphasis on PowerShell scripting, the highlighted skill is not a must but nice to have Experience in Sitecore platform architecture, including knowledge of Sitecore's data models, templates, components (Sitecore Experience Accelerator/SXA, JSS, Sitecore Content Serialization), Sitecore configuration, content management, personalization features, internals of integration with SQL Server and Solr, Sitecore headless development and Sitecore Cloud platforms Proficiency in Sitecore development using C#, NextJS, GraphQL, Powershell, .NET Framework Expertise in developing custom Sitecore modules and components, including integrations with external APIs and other systems like Analytics and marketing automation Solid understanding of JavaScript (ES6+), frameworks like React and NextJS, CSS syntax, HTML5 specs, browser shortcomings/differences and polyfills Hands-on experience in version control systems (e.g., Git, Bitbucket), deployment strategies, and CI/CD pipelines. Highly experienced at leading teams, interacting with business partners or customers, and guiding project direction Strong hands-on experience in the entire development life cycle of software products - coordination of project meetings, project scheduling from the design stage to the deployment stage, and final Ready-to-Ship product. Excellent understanding of object-oriented design concepts and software development processes and methods Developed software in the SCRUM environment using Agile methodologies Must have strong troubleshooting, code optimization, and refactoring skills
09/22/2026
Request ID: 7829-1 Start/End Dates: 8/26/2026 - 8/25/2027 Tax Work Location: Jersey City Job Title: Information Technology - Backend IT Developer III Pay rate : 70 - 71/hr Max Job Description: Sitecore Developer: Sitecore developer with strong emphasis on PowerShell scripting, the highlighted skill is not a must but nice to have Experience in Sitecore platform architecture, including knowledge of Sitecore's data models, templates, components (Sitecore Experience Accelerator/SXA, JSS, Sitecore Content Serialization), Sitecore configuration, content management, personalization features, internals of integration with SQL Server and Solr, Sitecore headless development and Sitecore Cloud platforms Proficiency in Sitecore development using C#, NextJS, GraphQL, Powershell, .NET Framework Expertise in developing custom Sitecore modules and components, including integrations with external APIs and other systems like Analytics and marketing automation Solid understanding of JavaScript (ES6+), frameworks like React and NextJS, CSS syntax, HTML5 specs, browser shortcomings/differences and polyfills Hands-on experience in version control systems (e.g., Git, Bitbucket), deployment strategies, and CI/CD pipelines. Highly experienced at leading teams, interacting with business partners or customers, and guiding project direction Strong hands-on experience in the entire development life cycle of software products - coordination of project meetings, project scheduling from the design stage to the deployment stage, and final Ready-to-Ship product. Excellent understanding of object-oriented design concepts and software development processes and methods Developed software in the SCRUM environment using Agile methodologies Must have strong troubleshooting, code optimization, and refactoring skills
Work Location: Jersey City 2-3 days per week Job Title: Information Technology - Sitecore Developer Pay rate : 70 -/hr w-2 One year long contract. Please get in touch with Job Description: Sitecore Developer: Sitecore developer with strong emphasis on PowerShell scripting, the highlighted skill is not a must but nice to have Experience in Sitecore platform architecture, including knowledge of Sitecore's data models, templates, components (Sitecore Experience Accelerator/SXA, JSS, Sitecore Content Serialization), Sitecore configuration, content management, personalization features, internals of integration with SQL Server and Solr, Sitecore headless development and Sitecore Cloud platforms Proficiency in Sitecore development using C#, NextJS, GraphQL, Powershell, .NET Framework Expertise in developing custom Sitecore modules and components, including integrations with external APIs and other systems like Analytics and marketing automation Solid understanding of JavaScript (ES6+), frameworks like React and NextJS, CSS syntax, HTML5 specs, browser shortcomings/differences and polyfills Hands-on experience in version control systems (e.g., Git, Bitbucket), deployment strategies, and CI/CD pipelines. Highly experienced at leading teams, interacting with business partners or customers, and guiding project direction Strong hands-on experience in the entire development life cycle of software products - coordination of project meetings, project scheduling from the design stage to the deployment stage, and final Ready-to-Ship product. Excellent understanding of object-oriented design concepts and software development processes and methods Developed software in the SCRUM environment using Agile methodologies Must have strong troubleshooting, code optimization, and refactoring skills Job ScheduleJob Schedule
09/22/2026
Work Location: Jersey City 2-3 days per week Job Title: Information Technology - Sitecore Developer Pay rate : 70 -/hr w-2 One year long contract. Please get in touch with Job Description: Sitecore Developer: Sitecore developer with strong emphasis on PowerShell scripting, the highlighted skill is not a must but nice to have Experience in Sitecore platform architecture, including knowledge of Sitecore's data models, templates, components (Sitecore Experience Accelerator/SXA, JSS, Sitecore Content Serialization), Sitecore configuration, content management, personalization features, internals of integration with SQL Server and Solr, Sitecore headless development and Sitecore Cloud platforms Proficiency in Sitecore development using C#, NextJS, GraphQL, Powershell, .NET Framework Expertise in developing custom Sitecore modules and components, including integrations with external APIs and other systems like Analytics and marketing automation Solid understanding of JavaScript (ES6+), frameworks like React and NextJS, CSS syntax, HTML5 specs, browser shortcomings/differences and polyfills Hands-on experience in version control systems (e.g., Git, Bitbucket), deployment strategies, and CI/CD pipelines. Highly experienced at leading teams, interacting with business partners or customers, and guiding project direction Strong hands-on experience in the entire development life cycle of software products - coordination of project meetings, project scheduling from the design stage to the deployment stage, and final Ready-to-Ship product. Excellent understanding of object-oriented design concepts and software development processes and methods Developed software in the SCRUM environment using Agile methodologies Must have strong troubleshooting, code optimization, and refactoring skills Job ScheduleJob Schedule
Job DescriptionJob DescriptionSr. Project ManagerIndustrial Automation SolutionsJob Description Jewett Automation is a fast-growing industrial automation and systems integration company seeking a Project Manager to lead and motivate teams of engineers and technicians in the design, construction, and commissioning of custom-engineered automation equipment. The successful candidate will possess knowledge of factory automation systems and thrive in a collaborative environment. They will demonstrate critical thinking, superior problem-solving abilities, strong leadership and communication skills, and a passion for leveraging modern digital and AI-enabled tools to improve project execution, team effectiveness, and customer outcomes. Jewett Automation embraces the use of modern digital technologies and artificial intelligence to enhance project execution, engineering collaboration, customer communication, and operational efficiency. Candidates should be comfortable adopting and championing new tools that increase individual and organizational effectiveness. This is an exempt position with benefits, reporting to the Head of Program Management. Compensation will be commensurate with experience. The position is based in Richmond, Virginia. Occasional travel is expected. Responsibilities Build Jewett Automation's brand as a customer-focused company by delivering exceptional customer service and timely responses. Manage projects to achieve defined schedule, scope, quality, and budget objectives. Lead schedule development and management activities through the Last Planner process. Identify potential project risks and lead the development and execution of mitigation plans. Serve as the primary customer point of contact and communicate project status, changes, and risks between the customer and the project team. Manage Engineering Change Orders (ECOs) and associated project budgets. Balance quoted equipment scope with evolving customer requirements to effectively manage scope creep. Provide regular project updates to customers and Jewett Automation management. Collaborate across the organization to manage the development, evaluation, approval, and implementation of automation equipment designs. Oversee machine construction, integration, and testing activities to ensure project deliverables meet specified requirements. Work closely with procurement to understand and mitigate supply chain impacts on project schedules. Leverage AI-enabled project management, reporting, and knowledge management tools to improve project visibility, accelerate decision-making, automate administrative activities, and increase overall project execution efficiency. Drive continuous improvement through the use of digital technologies, data analytics, and artificial intelligence to enhance schedule management, risk identification, customer communication, and team productivity. Develop and maintain project documentation, lessons learned, and organizational knowledge assets to improve future project performance. Qualifications / Skills Experience managing projects ranging in value from $150,000 to $10 million. Working knowledge of project management methodologies, tools, and best practices. Experience managing and communicating project financial performance, forecasts, and budgets. Experience in industrial automation, with robotics and automation machinery design experience considered highly desirable. Strong fundamental engineering knowledge. Bachelor's degree in engineering preferred but not required. Knowledge of standard automation machine elements, including bearings, gearboxes, timing belts, mechanical indexers, servo systems, and pneumatic actuators. Familiarity with common industrial electrical and controls components, including sensors, motors, PLCs, HMIs, and industrial networking systems. Knowledge of major robotic suppliers and robotic automation systems. Demonstrated ability to leverage AI and digital tools to increase personal and team bandwidth, automate routine project management activities, improve project visibility, and accelerate decision-making. Demonstrated ability to effectively utilize AI-powered business tools (e.g., Microsoft Copilot, ChatGPT, AI meeting assistants, business intelligence platforms, and workflow automation tools) to improve project execution, communication, reporting, and organizational efficiency. Experience implementing digital workflows, knowledge management systems, process automation solutions, or business intelligence tools that improve team effectiveness and organizational scalability. Strong analytical mindset, with the ability to leverage data-driven insights and emerging technologies to support decision-making, problem-solving, and risk management. PMP certification or equivalent project management certification is a plus. AutoCAD and SolidWorks familiarity preferred. Strong organizational, communication, leadership, and stakeholder management skills. Excellent written and verbal communication skills. Strong presentation skills and the ability to sell ideas. Management experience, preferably in a manufacturing or equipment design and build environment. Friendly, agreeable personality, able to work with all types of people.
09/22/2026
Full time
Job DescriptionJob DescriptionSr. Project ManagerIndustrial Automation SolutionsJob Description Jewett Automation is a fast-growing industrial automation and systems integration company seeking a Project Manager to lead and motivate teams of engineers and technicians in the design, construction, and commissioning of custom-engineered automation equipment. The successful candidate will possess knowledge of factory automation systems and thrive in a collaborative environment. They will demonstrate critical thinking, superior problem-solving abilities, strong leadership and communication skills, and a passion for leveraging modern digital and AI-enabled tools to improve project execution, team effectiveness, and customer outcomes. Jewett Automation embraces the use of modern digital technologies and artificial intelligence to enhance project execution, engineering collaboration, customer communication, and operational efficiency. Candidates should be comfortable adopting and championing new tools that increase individual and organizational effectiveness. This is an exempt position with benefits, reporting to the Head of Program Management. Compensation will be commensurate with experience. The position is based in Richmond, Virginia. Occasional travel is expected. Responsibilities Build Jewett Automation's brand as a customer-focused company by delivering exceptional customer service and timely responses. Manage projects to achieve defined schedule, scope, quality, and budget objectives. Lead schedule development and management activities through the Last Planner process. Identify potential project risks and lead the development and execution of mitigation plans. Serve as the primary customer point of contact and communicate project status, changes, and risks between the customer and the project team. Manage Engineering Change Orders (ECOs) and associated project budgets. Balance quoted equipment scope with evolving customer requirements to effectively manage scope creep. Provide regular project updates to customers and Jewett Automation management. Collaborate across the organization to manage the development, evaluation, approval, and implementation of automation equipment designs. Oversee machine construction, integration, and testing activities to ensure project deliverables meet specified requirements. Work closely with procurement to understand and mitigate supply chain impacts on project schedules. Leverage AI-enabled project management, reporting, and knowledge management tools to improve project visibility, accelerate decision-making, automate administrative activities, and increase overall project execution efficiency. Drive continuous improvement through the use of digital technologies, data analytics, and artificial intelligence to enhance schedule management, risk identification, customer communication, and team productivity. Develop and maintain project documentation, lessons learned, and organizational knowledge assets to improve future project performance. Qualifications / Skills Experience managing projects ranging in value from $150,000 to $10 million. Working knowledge of project management methodologies, tools, and best practices. Experience managing and communicating project financial performance, forecasts, and budgets. Experience in industrial automation, with robotics and automation machinery design experience considered highly desirable. Strong fundamental engineering knowledge. Bachelor's degree in engineering preferred but not required. Knowledge of standard automation machine elements, including bearings, gearboxes, timing belts, mechanical indexers, servo systems, and pneumatic actuators. Familiarity with common industrial electrical and controls components, including sensors, motors, PLCs, HMIs, and industrial networking systems. Knowledge of major robotic suppliers and robotic automation systems. Demonstrated ability to leverage AI and digital tools to increase personal and team bandwidth, automate routine project management activities, improve project visibility, and accelerate decision-making. Demonstrated ability to effectively utilize AI-powered business tools (e.g., Microsoft Copilot, ChatGPT, AI meeting assistants, business intelligence platforms, and workflow automation tools) to improve project execution, communication, reporting, and organizational efficiency. Experience implementing digital workflows, knowledge management systems, process automation solutions, or business intelligence tools that improve team effectiveness and organizational scalability. Strong analytical mindset, with the ability to leverage data-driven insights and emerging technologies to support decision-making, problem-solving, and risk management. PMP certification or equivalent project management certification is a plus. AutoCAD and SolidWorks familiarity preferred. Strong organizational, communication, leadership, and stakeholder management skills. Excellent written and verbal communication skills. Strong presentation skills and the ability to sell ideas. Management experience, preferably in a manufacturing or equipment design and build environment. Friendly, agreeable personality, able to work with all types of people.
Job DescriptionJob Description Digital SEO Specialist Job Summary As an SEO Specialist, you will play a pivotal role on the University of Utah Marketing and Communication's Digital Team, serving as the subject matter expert driving organic search visibility, technical site performance, and content discoverability across our university's web ecosystem. Reporting directly to the Associate Director of Digital Research and Operations, you will work in direct, daily partnership on strategic search initiatives-aligning search engine optimization with broader marketing, web accessibility, and digital governance goals. This role requires a balance of technical execution, SEO strategy and analytical insight. We are looking for a collaborative, proactive professional with strong hands-on SEO experience who thrives on solving technical web challenges and elevating university digital experiences. Learn more about the great benefits of working for University of Utah: benefits.utah.edu Responsibilities Key Responsibilities: Strategic Collaboration: Work in close, daily partnership with the Associate Director of Digital Research and Operations and the digital research team across all core SEO initiatives, establishing search performance benchmarks and aligning optimization efforts with university digital goals. Digital Campaign & SEO Synergy Reporting: Partner with content strategy and research teams to analyze and report on organic search results, landing page performance, and organic traffic impact driven by high-traffic digital advertising campaigns. Technical SEO & Site Hygiene: Conduct regular technical site audits across large-scale university web properties to identify and resolve issues related to crawlability, indexability, site speed, mobile usability, canonicalization, site architecture, and structured data. Keyword & Content Optimization: Perform comprehensive keyword research and intent analysis to guide content creators, web managers, and research teams. Optimize metadata, headings, on-page copy, and internal linking structures to maximize organic visibility. Search Analytics & Optimization: Track, analyze, and report on organic search performance, keyword rankings, backlink profiles, and conversion funnels using Google Analytics (GA4), Search Console, and enterprise SEO software. A/B Testing & Search Experimentation: Design and execute SEO experiments, testing title tags, meta descriptions, and structural layout changes to improve click-through rates (CTR) and user engagement. Branded Dashboard Development: Collaborate directly with the research team to design, build, and maintain branded, campus-partner-facing dashboards in Looker Studio and Tableau, ensuring data visualizations follow university brand standards and UI/UX best practices. SEO & Accessibility Integration: Collaborate with web and content teams to ensure on-page SEO strategies align seamlessly with digital accessibility standards (WCAG 2.1 Level AA) and core web vitals. Minimum Qualifications EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience). Search Engine Optimization Specialist, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience. Preferences Qualifications & Experience: Education: Bachelor's degree in Marketing, Communications, Computer Science, Information Design, Information Systems, or a related field SEO Experience: Experience in technical and on-page search engine optimization, with a proven track record of managing enterprise or multi-domain web environments. Higher education or agency experience is strongly preferred. Technical Stack: SEO Tools: Expertise in SEO and GEO tools such as Ahrefs, SEMrush, Google Search Console, and Google Trends. Analytics, BI & Campaign Tracking: Hands-on experience with Google Analytics (GA4), Webmaster Tools, and tracking SEO impact for high-traffic paid digital media campaigns. Dashboard Design & Branding: Experience creating branded data visualizations and dashboards (Looker Studio, Tableau) with strong design principles and brand alignment. CMS & Web Standards: Proficiency with WordPress (including SEO plugins like Yoast), HTML/CSS, basic JavaScript understanding, and structured data implementation. Accessibility & Operations: Working knowledge of digital accessibility guidelines (WCAG) and project management platforms. Key Traits We're Looking For: Fast & Careful: You pay close attention to details while responding quickly to user needs. Curious: You love to learn and are always looking for ways to refine your craft. Proactive: You take charge. You don't wait for problems to happen; you actively hunt for solutions. Resilient: You keep your cool and handle high-pressure situations with patience and a calm attitude. Collaborative: You are a true team player who understands that we're stronger when we work together. Humble: You're open to listening, receiving constructive feedback, and changing course with ease. Special Instructions Requisition Number: PRN46138B Full Time or Part Time? Full Time Work Schedule Summary: Monday through Friday, 9:00 - 5:00 pm Department: 00339 - Marketing & Communications Location: Campus Pay Rate Range: $68,000 - $78,000 Close Date: 11/26/2026 Open Until Filled: To apply, visit > Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency je-ab3fa21e385b43d98563d86b7cda1f22
09/22/2026
Full time
Job DescriptionJob Description Digital SEO Specialist Job Summary As an SEO Specialist, you will play a pivotal role on the University of Utah Marketing and Communication's Digital Team, serving as the subject matter expert driving organic search visibility, technical site performance, and content discoverability across our university's web ecosystem. Reporting directly to the Associate Director of Digital Research and Operations, you will work in direct, daily partnership on strategic search initiatives-aligning search engine optimization with broader marketing, web accessibility, and digital governance goals. This role requires a balance of technical execution, SEO strategy and analytical insight. We are looking for a collaborative, proactive professional with strong hands-on SEO experience who thrives on solving technical web challenges and elevating university digital experiences. Learn more about the great benefits of working for University of Utah: benefits.utah.edu Responsibilities Key Responsibilities: Strategic Collaboration: Work in close, daily partnership with the Associate Director of Digital Research and Operations and the digital research team across all core SEO initiatives, establishing search performance benchmarks and aligning optimization efforts with university digital goals. Digital Campaign & SEO Synergy Reporting: Partner with content strategy and research teams to analyze and report on organic search results, landing page performance, and organic traffic impact driven by high-traffic digital advertising campaigns. Technical SEO & Site Hygiene: Conduct regular technical site audits across large-scale university web properties to identify and resolve issues related to crawlability, indexability, site speed, mobile usability, canonicalization, site architecture, and structured data. Keyword & Content Optimization: Perform comprehensive keyword research and intent analysis to guide content creators, web managers, and research teams. Optimize metadata, headings, on-page copy, and internal linking structures to maximize organic visibility. Search Analytics & Optimization: Track, analyze, and report on organic search performance, keyword rankings, backlink profiles, and conversion funnels using Google Analytics (GA4), Search Console, and enterprise SEO software. A/B Testing & Search Experimentation: Design and execute SEO experiments, testing title tags, meta descriptions, and structural layout changes to improve click-through rates (CTR) and user engagement. Branded Dashboard Development: Collaborate directly with the research team to design, build, and maintain branded, campus-partner-facing dashboards in Looker Studio and Tableau, ensuring data visualizations follow university brand standards and UI/UX best practices. SEO & Accessibility Integration: Collaborate with web and content teams to ensure on-page SEO strategies align seamlessly with digital accessibility standards (WCAG 2.1 Level AA) and core web vitals. Minimum Qualifications EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience). Search Engine Optimization Specialist, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience. Preferences Qualifications & Experience: Education: Bachelor's degree in Marketing, Communications, Computer Science, Information Design, Information Systems, or a related field SEO Experience: Experience in technical and on-page search engine optimization, with a proven track record of managing enterprise or multi-domain web environments. Higher education or agency experience is strongly preferred. Technical Stack: SEO Tools: Expertise in SEO and GEO tools such as Ahrefs, SEMrush, Google Search Console, and Google Trends. Analytics, BI & Campaign Tracking: Hands-on experience with Google Analytics (GA4), Webmaster Tools, and tracking SEO impact for high-traffic paid digital media campaigns. Dashboard Design & Branding: Experience creating branded data visualizations and dashboards (Looker Studio, Tableau) with strong design principles and brand alignment. CMS & Web Standards: Proficiency with WordPress (including SEO plugins like Yoast), HTML/CSS, basic JavaScript understanding, and structured data implementation. Accessibility & Operations: Working knowledge of digital accessibility guidelines (WCAG) and project management platforms. Key Traits We're Looking For: Fast & Careful: You pay close attention to details while responding quickly to user needs. Curious: You love to learn and are always looking for ways to refine your craft. Proactive: You take charge. You don't wait for problems to happen; you actively hunt for solutions. Resilient: You keep your cool and handle high-pressure situations with patience and a calm attitude. Collaborative: You are a true team player who understands that we're stronger when we work together. Humble: You're open to listening, receiving constructive feedback, and changing course with ease. Special Instructions Requisition Number: PRN46138B Full Time or Part Time? Full Time Work Schedule Summary: Monday through Friday, 9:00 - 5:00 pm Department: 00339 - Marketing & Communications Location: Campus Pay Rate Range: $68,000 - $78,000 Close Date: 11/26/2026 Open Until Filled: To apply, visit > Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency je-ab3fa21e385b43d98563d86b7cda1f22
Who We Are Great Minds is a high-growth, mission-driven organization founded by educators in 2007. As a for-profit, Public Benefit Corporation, we believe all students deserve access to meaningful, challenging content-and all teachers deserve tools that are intuitive, effective, and built for the realities of today's classrooms. We develop high-quality, knowledge-rich math, science and ELA curricula grounded in research and designed in collaboration with educators. Our materials reflect real classroom needs and are built to drive lasting student outcomes. We are committed to usability, coherence, and practical implementation-supporting teachers not just through curriculum, but with professional learning, purposeful technology, and responsive service that enable strong adoption and impact. What We Build Our products- Eureka Math and Eureka Math , Wit & Wisdom , Geodes , and the newly launched Arts & Letters ELA -are trusted by thousands of schools and districts nationwide. Eureka Math is the most widely used math curriculum in the U.S., and is focused on balancing conceptual understanding, procedural fluency, and application. Wit & Wisdom and Arts & Letters ELA anchor our reading strategy with content-rich, grade-level instruction that integrates literature, history, and the arts, grounded in the science of reading. Geodes complements our reading suite with decodable texts that pair phonics with meaningful content to support early literacy. These programs reflect a shared belief in high expectations, joyful rigor, and deep respect for educators and students. Where We're Headed Great Minds is entering a new stage of growth and product maturity. We are focused on building more connected, customer-informed experiences across the full educator journey-from curriculum to professional learning to platform and support. Our long-term vision is to become a true partner in impact-not just delivering curriculum, but supporting educators in achieving outcomes at scale. Job Purpose The Senior Data Analyst, Enterprise Analytics is responsible for leading the delivery of actionable insights that drive data-driven strategy and performance across the organization. This role owns the design and execution of complex, high-impact analytics initiatives, develops advanced analyses, and architects reusable assets to empower decision-making and operational excellence at scale. The Senior Data Analyst serves as a subject matter expert and thought partner to senior business stakeholders, ensuring analytics solutions are strategically aligned and forward-looking. This role also provides technical mentorship and guidance to analysts and non-expert users across the organization. Responsibilities The duties and responsibilities include, but are not limited to, the following: Partner with senior leadership to frame ambiguous business problems, shape the analytical approach, and deliver solutions that hold up under real decision-making pressure - including knowing when the right call is not to build something. Resolve conflicting metric definitions across departments and help establish shared business semantics that leadership can trust. Design and own semantic models and reporting frameworks that serve multiple departments at once, balancing performance, reusability, and governance rather than optimizing for a single team's request. Pull together information from systems that were never designed to talk to each other - CRM, ERP, marketing platforms, ad hoc files - and turn it into something durable rather than a one-off answer. Architect and maintain enterprise-level dashboards where long-term accuracy and maintainability matter as much as the initial insight. Document the reasoning behind analyses and metric logic well enough that someone else could pick up the work a year later. Set standards for how analytics work gets built and reused, raising the bar across the organization rather than just within this role. Mentor analysts and enable self-service users to build sound data products on their own. Requirements 4+ years of experience in analytics, analytics engineering, or data-focused roles, with real accountability for analytics deliverables from framing through delivery - not just executing tickets. Advanced, hands-on fluency with a cloud data warehouse (Snowflake, Databricks, BigQuery, or similar), including complex query work and performance tuning, running on a cloud platform - Azure preferred, AWS also relevant. Comfort using code, not just point-and-click tools, to manipulate, analyze, and visualize data (Python). Real experience designing and maintaining a semantic model or metric layer that had to serve more than one audience with different - sometimes conflicting - needs, including dimensional modeling concepts like star schemas and slowly changing dimensions. Experience bringing basic software engineering discipline (version control, code review, modular and documented work) to analytics, which is too often treated casually. Experience reconciling messy, overlapping systems of record such as CRM, ERP, and marketing platforms. Experience building validation checks after having been burned by a silent data quality failure before. A track record of turning a vague ask from a senior stakeholder into a scoped project, and communicating results in terms that land with that audience. Experience mentoring others or setting standards that outlasted your own involvement. Preferred Qualifications Interest in K-12 public education and how data moves from a district leader's dashboard down to a classroom-level decision. Exposure to AWS as a secondary cloud environment alongside Azure. Familiarity with advanced analytics techniques such as forecasting, segmentation, or scenario modeling. Familiarity with data modeling and pipeline concepts (star/snowflake schema, entity-relationship modeling, ETL/ELT). Experience helping stand up or mature an analytics function, rather than only working within an established one. Required Education Bachelor's degree in Analytics, Data Science, Business, or a related quantitative discipline. Status Full-time Location Remote The expected base salary range for this position is $90,000-$100,000, however the offered salarymay be higher or lower than the above range dependent on numerous factors including, but not limited to location, work experience, skills and internal equity considerations. The base salary is not inclusive of benefits or other incentives. A cover letter and resume are required to be considered for this position. New employees will be required to successfully complete a background check. Any communication to applicants relating to the Great Minds hiring process will only come from email addresses with the domains greatminds.org or . If in the course of the application or hiring process with Great Minds you are contacted through another domain, are requested to provide banking or other sensitive information, or you note any other suspicious activity, please contact Great Minds is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability, age, genetic information, or any other status protected under applicable federal, state, or local laws. Our policy reflects and affirms the organization's commitment to the principles of fair employment and the elimination of all discriminatory practices.
09/22/2026
Full time
Who We Are Great Minds is a high-growth, mission-driven organization founded by educators in 2007. As a for-profit, Public Benefit Corporation, we believe all students deserve access to meaningful, challenging content-and all teachers deserve tools that are intuitive, effective, and built for the realities of today's classrooms. We develop high-quality, knowledge-rich math, science and ELA curricula grounded in research and designed in collaboration with educators. Our materials reflect real classroom needs and are built to drive lasting student outcomes. We are committed to usability, coherence, and practical implementation-supporting teachers not just through curriculum, but with professional learning, purposeful technology, and responsive service that enable strong adoption and impact. What We Build Our products- Eureka Math and Eureka Math , Wit & Wisdom , Geodes , and the newly launched Arts & Letters ELA -are trusted by thousands of schools and districts nationwide. Eureka Math is the most widely used math curriculum in the U.S., and is focused on balancing conceptual understanding, procedural fluency, and application. Wit & Wisdom and Arts & Letters ELA anchor our reading strategy with content-rich, grade-level instruction that integrates literature, history, and the arts, grounded in the science of reading. Geodes complements our reading suite with decodable texts that pair phonics with meaningful content to support early literacy. These programs reflect a shared belief in high expectations, joyful rigor, and deep respect for educators and students. Where We're Headed Great Minds is entering a new stage of growth and product maturity. We are focused on building more connected, customer-informed experiences across the full educator journey-from curriculum to professional learning to platform and support. Our long-term vision is to become a true partner in impact-not just delivering curriculum, but supporting educators in achieving outcomes at scale. Job Purpose The Senior Data Analyst, Enterprise Analytics is responsible for leading the delivery of actionable insights that drive data-driven strategy and performance across the organization. This role owns the design and execution of complex, high-impact analytics initiatives, develops advanced analyses, and architects reusable assets to empower decision-making and operational excellence at scale. The Senior Data Analyst serves as a subject matter expert and thought partner to senior business stakeholders, ensuring analytics solutions are strategically aligned and forward-looking. This role also provides technical mentorship and guidance to analysts and non-expert users across the organization. Responsibilities The duties and responsibilities include, but are not limited to, the following: Partner with senior leadership to frame ambiguous business problems, shape the analytical approach, and deliver solutions that hold up under real decision-making pressure - including knowing when the right call is not to build something. Resolve conflicting metric definitions across departments and help establish shared business semantics that leadership can trust. Design and own semantic models and reporting frameworks that serve multiple departments at once, balancing performance, reusability, and governance rather than optimizing for a single team's request. Pull together information from systems that were never designed to talk to each other - CRM, ERP, marketing platforms, ad hoc files - and turn it into something durable rather than a one-off answer. Architect and maintain enterprise-level dashboards where long-term accuracy and maintainability matter as much as the initial insight. Document the reasoning behind analyses and metric logic well enough that someone else could pick up the work a year later. Set standards for how analytics work gets built and reused, raising the bar across the organization rather than just within this role. Mentor analysts and enable self-service users to build sound data products on their own. Requirements 4+ years of experience in analytics, analytics engineering, or data-focused roles, with real accountability for analytics deliverables from framing through delivery - not just executing tickets. Advanced, hands-on fluency with a cloud data warehouse (Snowflake, Databricks, BigQuery, or similar), including complex query work and performance tuning, running on a cloud platform - Azure preferred, AWS also relevant. Comfort using code, not just point-and-click tools, to manipulate, analyze, and visualize data (Python). Real experience designing and maintaining a semantic model or metric layer that had to serve more than one audience with different - sometimes conflicting - needs, including dimensional modeling concepts like star schemas and slowly changing dimensions. Experience bringing basic software engineering discipline (version control, code review, modular and documented work) to analytics, which is too often treated casually. Experience reconciling messy, overlapping systems of record such as CRM, ERP, and marketing platforms. Experience building validation checks after having been burned by a silent data quality failure before. A track record of turning a vague ask from a senior stakeholder into a scoped project, and communicating results in terms that land with that audience. Experience mentoring others or setting standards that outlasted your own involvement. Preferred Qualifications Interest in K-12 public education and how data moves from a district leader's dashboard down to a classroom-level decision. Exposure to AWS as a secondary cloud environment alongside Azure. Familiarity with advanced analytics techniques such as forecasting, segmentation, or scenario modeling. Familiarity with data modeling and pipeline concepts (star/snowflake schema, entity-relationship modeling, ETL/ELT). Experience helping stand up or mature an analytics function, rather than only working within an established one. Required Education Bachelor's degree in Analytics, Data Science, Business, or a related quantitative discipline. Status Full-time Location Remote The expected base salary range for this position is $90,000-$100,000, however the offered salarymay be higher or lower than the above range dependent on numerous factors including, but not limited to location, work experience, skills and internal equity considerations. The base salary is not inclusive of benefits or other incentives. A cover letter and resume are required to be considered for this position. New employees will be required to successfully complete a background check. Any communication to applicants relating to the Great Minds hiring process will only come from email addresses with the domains greatminds.org or . If in the course of the application or hiring process with Great Minds you are contacted through another domain, are requested to provide banking or other sensitive information, or you note any other suspicious activity, please contact Great Minds is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability, age, genetic information, or any other status protected under applicable federal, state, or local laws. Our policy reflects and affirms the organization's commitment to the principles of fair employment and the elimination of all discriminatory practices.
Energy is the binding constraint on human progress. Solar and storage are the lowest cost sources of new generation, but the conventional project delivery model has not changed in 30 years and deployment cannot keep pace with demand. Planted is turning power plants from projects into products. Our software turns raw land into a build-ready power plant in minutes instead of months. Our hardware delivers twice the energy on every acre. Our robots put steel in the ground so output scales with production lines instead of headcount. We're looking for a technical leader to build and scale the software organization at the center of that transition - from the autonomy stack running on our robots to the AI systems that will make deployment even faster. You will own the architecture, roadmap, and team driving Planted's next phase of growth. We don't wait for abundance. We build it. About The Role Software is both the brains of our machines and the connective tissue of Planted operations. You will lead and grow a software organization spanning three domains: autonomous robotic vehicle software, our suite of web-based power plant design, build, and operate tools, and an emerging portfolio of AI agents that automate engineering, estimation, and operations workflows. We are looking for a pragmatic technical leader with a track record of building high-performing, multi-disciplinary software teams. You must be deep enough technically to drive key architectural decisions across the vertically integrated platform, and strategic enough to drive and execute on the product roadmap. You have systems literacy (e.g., how data moves from a robot's camera into an ML pipeline) and prioritize delivery mechanics over heavy-handed project management. Our robots are building projects in the field today and our design software is in front of customers. Your mandate is to scale the product and the team to support our current 10x year over year growth in megawatts deployed. The Team: You will join a group at the intersection of deep tech and massive physical infrastructure. Our engineering core brings robotics and automation DNA from SpaceX and Tesla, working directly alongside veteran energy developers. We are led by repeat founders with a successful prior exit (Cogenra to SunPower). Planted is backed by leading investors in energy and Physical AI, including Breakthrough Energy Ventures, Khosla Ventures, and Piva Capital. The annual salary range for this full-time position is $275,000-$325,000 plus a meaningful equity stake and benefits. Pay within the range is based on candidate experience, job-specific skills, and education. The target experience for the position is 10-15+ years. We work together in person 5 days/week at our HQ in Oakland, CA. KEY RESPONSIBILITIES Organizational Leadership & Talent Development: Build, scale, and mentor a high-performing, multi-level software organization, including direct management of engineering managers, principal engineers, and system architects. Foster a culture of technical excellence, accountability, and continuous growth. Recruit and retain top-tier software talent across cloud, spatial/CAD, embedded, and robotics domains while allowing technical experts to own the architecture. Strategic Execution & Stakeholder Management : Own the software roadmap and drive the predictable, on-time delivery of complex, multi-system software projects across multiple products. Set clear expectations, communicate progress, and align software deliverables. Collaborate seamlessly with the Commercial team, Hardware Engineering, and Project Operations. Make the build-vs-buy, stack, and platform decisions that will hold up at 100x scale. Software Product Suite Ownership: Lead development across our core platforms: Power Planter (automated layout, engineering, and costing), Build View (autonomous fleet management, field deployment, and QA/QC), and Operate View (inspection, operations, and maintenance tools for large-scale solar plants). Autonomous Robotic Vehicle Platforms: Lead the engineering teams deploying the full software stack across our autonomous field machine fleet (fleet logic, behavior trees, and path planning, modern and classical controls, ROS2, etc.). Data Flywheel: We operate our field machines like modern manufacturing lines. You will own the telemetry and data infrastructure that monitors production with statistical process control and turns every installation into training data for better models and improved machine productivity. AI Systems: Build the team and roadmap for AI agents that automate design, estimation, project delivery, and operations workflows, grounded in the data our robots and projects generate. QUALIFICATIONS 10 to 15+ years of software engineering experience, including 5+ years leading engineering teams (senior ICs and managers) shipping production systems. Deep expertise in full stack software development involving hardware and software integration like robotics, IoT, or industrial automation. Track record shipping robotics, autonomous vehicles, or hardtech software into the field at scale-with a strong focus on fleet reliability, continuous testing, and real-time observability. Broad leadership capability across platform/full-stack teams, cloud infrastructure, data systems, or applied AI/ML groups outside your core specialty. Systems architecture judgment with strong understanding of how technologies work together (e.g., middleware, pub/sub architectures, web services, and ML pipelines). You do not need to write the C++ on the robot, but you must understand edge compute, latency, and hardware-in-the-loop testing. PREFERRED QUALIFICATIONS Field robotics : Experience in construction, agriculture, mining, defense, logistics, or autonomous vehicles operating off-pavement (e.g., Waymo, Cruise, Bedrock Automation). DevOps & Delivery: Strong understanding of modern software deployment and containerization (Docker). Experience with CI/CD, release pipelines, and edge deployment strategies, focusing on how code reliably gets to the machine. Agentic and AI-Augmented Software Engineering: Experience building, rebuilding, and managing AI-integrated software development platforms and teams. Robotics & Controls: Familiarity with the complexities of deploying field-robotics software (e.g., ROS2, vehicle navigation, and autonomy stacks). You understand the unique delivery challenges of robotics compared to traditional software. Perception & Sensing: Experience with LiDAR, stereoscopic/IR cameras, object detection, spatial mapping, and SLAM in dynamic outdoor environments. Strong understanding of middleware, pub/sub architectures alongside web services, backend technologies, and ML pipelines. Spatial / CAD Expertise: Deep understanding of software platforms working with geospatial data (GIS, CAD engines, 3D modeling, or automated parametric design). Industrial Operations: Exposure to automated manufacturing execution systems (MES) managing statistical process control, telemetry monitoring, or fleet analytics in hardtech, renewable energy environments, or advanced manufacturing. What We Offer 11 paid company holidays and flexible Paid Time Off (PTO) Company-paid in-office lunches Stock options Medical, vision, dental, and other benefits Pre-tax commuter benefits 401(k) A chance to have an empowered, meaningful, and early role in climate How This Is A Fit You want to solve challenging problems You are biased towards action and focus on the vital work that drives the most impact You prioritize the physical and psychological safety of yourself and those around you You are humble, embrace change, and deliver and receive candid feedback You are optimistic about the future and can make tough decisions to help get there You have high expectations and coach, develop, and make time to help others Planted is an equal opportunity employer committed to growing inclusively, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, medical condition, age, or veteran status. However you identify, or whatever background you bring with you, please apply. We look forward to hearing from you.
09/22/2026
Full time
Energy is the binding constraint on human progress. Solar and storage are the lowest cost sources of new generation, but the conventional project delivery model has not changed in 30 years and deployment cannot keep pace with demand. Planted is turning power plants from projects into products. Our software turns raw land into a build-ready power plant in minutes instead of months. Our hardware delivers twice the energy on every acre. Our robots put steel in the ground so output scales with production lines instead of headcount. We're looking for a technical leader to build and scale the software organization at the center of that transition - from the autonomy stack running on our robots to the AI systems that will make deployment even faster. You will own the architecture, roadmap, and team driving Planted's next phase of growth. We don't wait for abundance. We build it. About The Role Software is both the brains of our machines and the connective tissue of Planted operations. You will lead and grow a software organization spanning three domains: autonomous robotic vehicle software, our suite of web-based power plant design, build, and operate tools, and an emerging portfolio of AI agents that automate engineering, estimation, and operations workflows. We are looking for a pragmatic technical leader with a track record of building high-performing, multi-disciplinary software teams. You must be deep enough technically to drive key architectural decisions across the vertically integrated platform, and strategic enough to drive and execute on the product roadmap. You have systems literacy (e.g., how data moves from a robot's camera into an ML pipeline) and prioritize delivery mechanics over heavy-handed project management. Our robots are building projects in the field today and our design software is in front of customers. Your mandate is to scale the product and the team to support our current 10x year over year growth in megawatts deployed. The Team: You will join a group at the intersection of deep tech and massive physical infrastructure. Our engineering core brings robotics and automation DNA from SpaceX and Tesla, working directly alongside veteran energy developers. We are led by repeat founders with a successful prior exit (Cogenra to SunPower). Planted is backed by leading investors in energy and Physical AI, including Breakthrough Energy Ventures, Khosla Ventures, and Piva Capital. The annual salary range for this full-time position is $275,000-$325,000 plus a meaningful equity stake and benefits. Pay within the range is based on candidate experience, job-specific skills, and education. The target experience for the position is 10-15+ years. We work together in person 5 days/week at our HQ in Oakland, CA. KEY RESPONSIBILITIES Organizational Leadership & Talent Development: Build, scale, and mentor a high-performing, multi-level software organization, including direct management of engineering managers, principal engineers, and system architects. Foster a culture of technical excellence, accountability, and continuous growth. Recruit and retain top-tier software talent across cloud, spatial/CAD, embedded, and robotics domains while allowing technical experts to own the architecture. Strategic Execution & Stakeholder Management : Own the software roadmap and drive the predictable, on-time delivery of complex, multi-system software projects across multiple products. Set clear expectations, communicate progress, and align software deliverables. Collaborate seamlessly with the Commercial team, Hardware Engineering, and Project Operations. Make the build-vs-buy, stack, and platform decisions that will hold up at 100x scale. Software Product Suite Ownership: Lead development across our core platforms: Power Planter (automated layout, engineering, and costing), Build View (autonomous fleet management, field deployment, and QA/QC), and Operate View (inspection, operations, and maintenance tools for large-scale solar plants). Autonomous Robotic Vehicle Platforms: Lead the engineering teams deploying the full software stack across our autonomous field machine fleet (fleet logic, behavior trees, and path planning, modern and classical controls, ROS2, etc.). Data Flywheel: We operate our field machines like modern manufacturing lines. You will own the telemetry and data infrastructure that monitors production with statistical process control and turns every installation into training data for better models and improved machine productivity. AI Systems: Build the team and roadmap for AI agents that automate design, estimation, project delivery, and operations workflows, grounded in the data our robots and projects generate. QUALIFICATIONS 10 to 15+ years of software engineering experience, including 5+ years leading engineering teams (senior ICs and managers) shipping production systems. Deep expertise in full stack software development involving hardware and software integration like robotics, IoT, or industrial automation. Track record shipping robotics, autonomous vehicles, or hardtech software into the field at scale-with a strong focus on fleet reliability, continuous testing, and real-time observability. Broad leadership capability across platform/full-stack teams, cloud infrastructure, data systems, or applied AI/ML groups outside your core specialty. Systems architecture judgment with strong understanding of how technologies work together (e.g., middleware, pub/sub architectures, web services, and ML pipelines). You do not need to write the C++ on the robot, but you must understand edge compute, latency, and hardware-in-the-loop testing. PREFERRED QUALIFICATIONS Field robotics : Experience in construction, agriculture, mining, defense, logistics, or autonomous vehicles operating off-pavement (e.g., Waymo, Cruise, Bedrock Automation). DevOps & Delivery: Strong understanding of modern software deployment and containerization (Docker). Experience with CI/CD, release pipelines, and edge deployment strategies, focusing on how code reliably gets to the machine. Agentic and AI-Augmented Software Engineering: Experience building, rebuilding, and managing AI-integrated software development platforms and teams. Robotics & Controls: Familiarity with the complexities of deploying field-robotics software (e.g., ROS2, vehicle navigation, and autonomy stacks). You understand the unique delivery challenges of robotics compared to traditional software. Perception & Sensing: Experience with LiDAR, stereoscopic/IR cameras, object detection, spatial mapping, and SLAM in dynamic outdoor environments. Strong understanding of middleware, pub/sub architectures alongside web services, backend technologies, and ML pipelines. Spatial / CAD Expertise: Deep understanding of software platforms working with geospatial data (GIS, CAD engines, 3D modeling, or automated parametric design). Industrial Operations: Exposure to automated manufacturing execution systems (MES) managing statistical process control, telemetry monitoring, or fleet analytics in hardtech, renewable energy environments, or advanced manufacturing. What We Offer 11 paid company holidays and flexible Paid Time Off (PTO) Company-paid in-office lunches Stock options Medical, vision, dental, and other benefits Pre-tax commuter benefits 401(k) A chance to have an empowered, meaningful, and early role in climate How This Is A Fit You want to solve challenging problems You are biased towards action and focus on the vital work that drives the most impact You prioritize the physical and psychological safety of yourself and those around you You are humble, embrace change, and deliver and receive candid feedback You are optimistic about the future and can make tough decisions to help get there You have high expectations and coach, develop, and make time to help others Planted is an equal opportunity employer committed to growing inclusively, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, medical condition, age, or veteran status. However you identify, or whatever background you bring with you, please apply. We look forward to hearing from you.
P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D. in Computer Science or related fields 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 $228,400-$303,550 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D. in Computer Science or related fields 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 $228,400-$303,550 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D. in Computer Science or related fields 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 $217,200-$288,400 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D. in Computer Science or related fields 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 $217,200-$288,400 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
P-1285 About This Role As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API You'll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestration systems. What You Will Do Own and drive the architecture, design, and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference Partner closely with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine Lead the end-to-end optimization for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators Define and guide standards to build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations Architect scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads Ensure reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning Collaborate cross-functionally on Integrating with federated, distributed inference infrastructure - orchestrate across nodes, balance load, handle communication overhead Drive cross-team collaboration: with platform engineers, cloud infrastructure, and security/compliance teams Represent the team externally through benchmarks, whitepapers, and open-source contributions What We Look For BS/MS/PhD in Computer Science, or a related field Strong software engineering background (6+ years or equivalent) in performance-critical systems Proven track record of owning complex system components and driving architectural decisions end-to-end Deep understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc. Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.) Strong background in distributed systems design, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler) Experience building instrumentation, tracing, and profiling tools for ML models Ability to lead through influence - work closely with ML researchers, translate novel model ideas into production systems Excellent communication and leadership skills, with a proactive and ownership-driven mindset Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving 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 $190,900-$232,800 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
P-1285 About This Role As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API You'll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestration systems. What You Will Do Own and drive the architecture, design, and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference Partner closely with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine Lead the end-to-end optimization for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators Define and guide standards to build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations Architect scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads Ensure reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning Collaborate cross-functionally on Integrating with federated, distributed inference infrastructure - orchestrate across nodes, balance load, handle communication overhead Drive cross-team collaboration: with platform engineers, cloud infrastructure, and security/compliance teams Represent the team externally through benchmarks, whitepapers, and open-source contributions What We Look For BS/MS/PhD in Computer Science, or a related field Strong software engineering background (6+ years or equivalent) in performance-critical systems Proven track record of owning complex system components and driving architectural decisions end-to-end Deep understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc. Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.) Strong background in distributed systems design, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler) Experience building instrumentation, tracing, and profiling tools for ML models Ability to lead through influence - work closely with ML researchers, translate novel model ideas into production systems Excellent communication and leadership skills, with a proactive and ownership-driven mindset Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving 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 $190,900-$232,800 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products. The impact you will have: " Analysis at the speed of thought ": Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists. " Extend capabilities of Databricks ": Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product " Strategic business insights ": Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency). Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences. Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review. Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven. Represent Databricks at academic and industrial conferences & events. What we look for: 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems. Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product, and Technical Operations. Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions. Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling. Strong coding skills in Python and SQL Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment. M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) 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 $192,000-$260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products. The impact you will have: " Analysis at the speed of thought ": Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists. " Extend capabilities of Databricks ": Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product " Strategic business insights ": Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency). Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences. Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review. Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven. Represent Databricks at academic and industrial conferences & events. What we look for: 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems. Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product, and Technical Operations. Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions. Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling. Strong coding skills in Python and SQL Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment. M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) 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 $192,000-$260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
P-1478 The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue. As a Senior Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers. The impact you'll have : Define the technical strategy and roadmap for building in-house solutions for critical internal workflows Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Experience designing and building end-to-end, full-stack cloud-native applications Customer obsession and product engineering mindset Strong communication skills and ability to influence technical and business stakeholders History of raising the engineering quality bar, focus on execution and operational rigor Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives. Passion for the data intelligence space. Why Join Us? Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory. Lead and mentor a talented team of engineers solving challenging, customer-centric problems. Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company. If you are passionate about building AI-powered solutions for running the business, we would love to hear from you! 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 $192,000-$260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
P-1478 The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue. As a Senior Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers. The impact you'll have : Define the technical strategy and roadmap for building in-house solutions for critical internal workflows Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Experience designing and building end-to-end, full-stack cloud-native applications Customer obsession and product engineering mindset Strong communication skills and ability to influence technical and business stakeholders History of raising the engineering quality bar, focus on execution and operational rigor Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives. Passion for the data intelligence space. Why Join Us? Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory. Lead and mentor a talented team of engineers solving challenging, customer-centric problems. Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company. If you are passionate about building AI-powered solutions for running the business, we would love to hear from you! 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 $192,000-$260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
P-160 Who We Are 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 Intelligence 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. As a Full Stack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. Seamless onboarding and management for all members of an organization to become data-driven. Provide a great SQL-centric data exploration and dashboarding experience on Databricks An interactive environment for collaborative data projects at massive scale with an easy path to production. What we look for: 5+ years of experience with HTML, CSS, and JavaScript. Passion for user experience and design and a deep understanding of front-end architecture. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value. Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember). 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go). Good knowledge of SQL. Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Experience developing large-scale distributed systems. 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 $166,000-$225,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
P-160 Who We Are 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 Intelligence 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. As a Full Stack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. Seamless onboarding and management for all members of an organization to become data-driven. Provide a great SQL-centric data exploration and dashboarding experience on Databricks An interactive environment for collaborative data projects at massive scale with an easy path to production. What we look for: 5+ years of experience with HTML, CSS, and JavaScript. Passion for user experience and design and a deep understanding of front-end architecture. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value. Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember). 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go). Good knowledge of SQL. Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Experience developing large-scale distributed systems. 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 $166,000-$225,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
RDQ126R47 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. Databricks Unity Catalog is the industry's only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability. We are seeking a Senior Staff Software Engineer to lead the technical direction and development of Unity Catalog's enterprise-grade governance capabilities. In this role, you will drive the roadmap and execution of critical features that empower organizations to govern access to their Lakehouse assets at scale. Key Responsibilities Technical Leadership : Lead the design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate development and operational best practices across the organization. Product Ownership: Take full ownership of the Unity Catalog Governance product, driving it from initial concept to robust, scalable solutions with measurable business impact. Cross-Functional Influence: Collaborate with product and infrastructure teams to align technical strategy and execution, ensuring seamless integration and adoption of governance features. Operational Excellence: Champion the development of high-quality, reliable, and easy-to-operate software. Drive operational processes that deliver a seamless customer experience that is indistinguishable from perfect. What We Look For 15+ years of industry experience building and operating large-scale distributed systems. Proven track record of driving initiatives focused on customer satisfaction and incremental delivery. Deep computer science expertise (algorithms, data structures) with real-world application. Strong leadership, communication, and cross-functional collaboration skills. BS in Computer Science or related fields (MS/PhD preferred) (Preferred) Experience in data governance, security, privacy, identity management, authentication, or access control. Why Join Us? Influence the direction of industry-leading data and AI governance solutions. Work with world-class engineers and thought leaders in a collaborative, high-impact environment. Competitive compensation, comprehensive benefits, and opportunities for professional growth. 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 $217,000-$312,200 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
RDQ126R47 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. Databricks Unity Catalog is the industry's only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability. We are seeking a Senior Staff Software Engineer to lead the technical direction and development of Unity Catalog's enterprise-grade governance capabilities. In this role, you will drive the roadmap and execution of critical features that empower organizations to govern access to their Lakehouse assets at scale. Key Responsibilities Technical Leadership : Lead the design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate development and operational best practices across the organization. Product Ownership: Take full ownership of the Unity Catalog Governance product, driving it from initial concept to robust, scalable solutions with measurable business impact. Cross-Functional Influence: Collaborate with product and infrastructure teams to align technical strategy and execution, ensuring seamless integration and adoption of governance features. Operational Excellence: Champion the development of high-quality, reliable, and easy-to-operate software. Drive operational processes that deliver a seamless customer experience that is indistinguishable from perfect. What We Look For 15+ years of industry experience building and operating large-scale distributed systems. Proven track record of driving initiatives focused on customer satisfaction and incremental delivery. Deep computer science expertise (algorithms, data structures) with real-world application. Strong leadership, communication, and cross-functional collaboration skills. BS in Computer Science or related fields (MS/PhD preferred) (Preferred) Experience in data governance, security, privacy, identity management, authentication, or access control. Why Join Us? Influence the direction of industry-leading data and AI governance solutions. Work with world-class engineers and thought leaders in a collaborative, high-impact environment. Competitive compensation, comprehensive benefits, and opportunities for professional growth. 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 $217,000-$312,200 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
GAQ426R79 About the Team The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity. What we look for Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team's AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks' long-term corporate goals. The impact you will have Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M&A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances. Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance. Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity. How you will work: You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions. You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines. You routinely identify and recommend opportunities to change and improve ways of working. You are a bar raiser, constantly looking to improve standards within the team and to streamline process and quality across different regions. What we look for Outstanding interpersonal and communication skills Three or more years of experience working as paralegal, program manager, contracts specialist or contracts admin. Experience with leveraging AI or machine learning in a legal setting Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus. Bachelor's degree or equivalent. Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign). Strong project management skills. Excellent written and verbal communication. Ability to work effectively with cross-functional teams across diverse cultures. Strategic thinking and problem-solving abilities. Familiarity with relevant industry regulations and compliance requirements. Proficiency with proposal management software. 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. Zone 2 Pay Range $92,200-$126,700 USD 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. Zone 3 Pay Range $87,000-$119,700 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
GAQ426R79 About the Team The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity. What we look for Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team's AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks' long-term corporate goals. The impact you will have Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M&A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances. Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance. Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity. How you will work: You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions. You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines. You routinely identify and recommend opportunities to change and improve ways of working. You are a bar raiser, constantly looking to improve standards within the team and to streamline process and quality across different regions. What we look for Outstanding interpersonal and communication skills Three or more years of experience working as paralegal, program manager, contracts specialist or contracts admin. Experience with leveraging AI or machine learning in a legal setting Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus. Bachelor's degree or equivalent. Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign). Strong project management skills. Excellent written and verbal communication. Ability to work effectively with cross-functional teams across diverse cultures. Strategic thinking and problem-solving abilities. Familiarity with relevant industry regulations and compliance requirements. Proficiency with proposal management software. 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. Zone 2 Pay Range $92,200-$126,700 USD 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. Zone 3 Pay Range $87,000-$119,700 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
GAQ426R79 About the Team The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity. What we look for Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team's AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks' long-term corporate goals. The impact you will have Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M&A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances. Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance. Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity. How you will work: You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions. You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines. You routinely identify and recommend opportunities to change and improve ways of working. You are a bar raiser, constantly looking to improve standards within the team and to streamline process and quality across different regions. What we look for Outstanding interpersonal and communication skills Three or more years of experience working as paralegal, program manager, contracts specialist or contracts admin. Experience with leveraging AI or machine learning in a legal setting Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus. Bachelor's degree or equivalent. Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign). Strong project management skills. Excellent written and verbal communication. Ability to work effectively with cross-functional teams across diverse cultures. Strategic thinking and problem-solving abilities. Familiarity with relevant industry regulations and compliance requirements. Proficiency with proposal management software. 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. Zone 2 Pay Range $92,200-$126,700 USD 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. Zone 3 Pay Range $87,000-$119,700 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
GAQ426R79 About the Team The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity. What we look for Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team's AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks' long-term corporate goals. The impact you will have Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M&A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances. Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance. Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity. How you will work: You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions. You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines. You routinely identify and recommend opportunities to change and improve ways of working. You are a bar raiser, constantly looking to improve standards within the team and to streamline process and quality across different regions. What we look for Outstanding interpersonal and communication skills Three or more years of experience working as paralegal, program manager, contracts specialist or contracts admin. Experience with leveraging AI or machine learning in a legal setting Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus. Bachelor's degree or equivalent. Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign). Strong project management skills. Excellent written and verbal communication. Ability to work effectively with cross-functional teams across diverse cultures. Strategic thinking and problem-solving abilities. Familiarity with relevant industry regulations and compliance requirements. Proficiency with proposal management software. 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. Zone 2 Pay Range $92,200-$126,700 USD 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. Zone 3 Pay Range $87,000-$119,700 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 10+ years of experience in Data Security or related areas and expertise in two or more of the following Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D. in Computer Science or related fields 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 $278,200-$339,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 10+ years of experience in Data Security or related areas and expertise in two or more of the following Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D. in Computer Science or related fields 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 $278,200-$339,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best Data Intelligence Platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as an in-house, production "customer" that dogfoods Databricks and drives the future direction of the products. The impact you will have: Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights. Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts. Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience. Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review. Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven Build self-serving internal data products to make data simple within the company. Represent Databricks at academic and industrial conferences & events. What we look for: 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems. Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis. Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Sales and Engineering at the moment, but also work with the Marketing and Finance organizations. Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment. Proficient in data analysis and visualization using tools like R and Python. Experience with distributed data processing systems like Spark, and proficiency in SQL. MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) 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 $192,000-$260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best Data Intelligence Platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as an in-house, production "customer" that dogfoods Databricks and drives the future direction of the products. The impact you will have: Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights. Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts. Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience. Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review. Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven Build self-serving internal data products to make data simple within the company. Represent Databricks at academic and industrial conferences & events. What we look for: 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems. Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis. Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Sales and Engineering at the moment, but also work with the Marketing and Finance organizations. Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment. Proficient in data analysis and visualization using tools like R and Python. Experience with distributed data processing systems like Spark, and proficiency in SQL. MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) 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 $192,000-$260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
(P-1286) 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. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges. What we look for: 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language 4+ years of experience developing large-scale distributed systems from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. Extensive experience working on large-scale compute clusters, network connectivity, and automation. 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 $166,000-$225,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
(P-1286) 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. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges. What we look for: 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language 4+ years of experience developing large-scale distributed systems from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. Extensive experience working on large-scale compute clusters, network connectivity, and automation. 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 $166,000-$225,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
P-1477 The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue. As a Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers. The impact you'll have : Define the technical strategy and roadmap for building in-house solutions for critical internal workflows Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Experience designing and building end-to-end, full-stack cloud-native applications Customer obsession and product engineering mindset Strong communication skills and ability to influence technical and business stakeholders History of raising the engineering quality bar, focus on execution and operational rigor Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives. Passion for the data intelligence space. Why Join Us? Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory. Lead and mentor a talented team of engineers solving challenging, customer-centric problems. Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company. If you are passionate about building AI-powered solutions for running the business, we would love to hear from you! 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 $192,000-$260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
P-1477 The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue. As a Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers. The impact you'll have : Define the technical strategy and roadmap for building in-house solutions for critical internal workflows Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Experience designing and building end-to-end, full-stack cloud-native applications Customer obsession and product engineering mindset Strong communication skills and ability to influence technical and business stakeholders History of raising the engineering quality bar, focus on execution and operational rigor Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives. Passion for the data intelligence space. Why Join Us? Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory. Lead and mentor a talented team of engineers solving challenging, customer-centric problems. Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company. If you are passionate about building AI-powered solutions for running the business, we would love to hear from you! 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 $192,000-$260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
RDQ427R130 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. More about the team: A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments. We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform. You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production. The impact you will have: You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows. You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation. You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management. You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces. You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners. You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams. What we look for: 5+ years of experience as a Product Manager working on platform products Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users Experience being a hands-on builder, must be comfortable using our own developer-facing products. Passion for designing products that simplify user experience of technically complex products. 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. Zone 2 Pay Range $148,800-$204,525 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.
09/22/2026
Full time
RDQ427R130 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. More about the team: A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments. We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform. You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production. The impact you will have: You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows. You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation. You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management. You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces. You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners. You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams. What we look for: 5+ years of experience as a Product Manager working on platform products Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users Experience being a hands-on builder, must be comfortable using our own developer-facing products. Passion for designing products that simplify user experience of technically complex products. 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. Zone 2 Pay Range $148,800-$204,525 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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.