Jobs at Databricks
10,578 open positions
Specialist Solutions Architect - Data Engineering (Financial Services)
Company: Databricks
Location: Remote
Posted Sep 23, 2023
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.ComplianceIf 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$139,700—$247,300 USDZone 2 Pay Range$139,700—$247,300 USDZone 3 Pay Range$139,700—$247,300 USDZone 4 Pay Range$139,700—$247,300 USDAbout DatabricksDatabricks is the data and AI company. The pay range(s) for this role is listed below and represents base 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. Spark, Hadoop, Kafka) and architectures2 years customer-facing experience in a pre-sales or post-sales roleCan meet expectations for technical training and role-specific outcomes within 6 months of hireBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experienceAbility to travel up to 30% when neededBenefitsMedical, Dental, and Vision401(k) PlanFSA, HSA and Commuter Benefit PlansEquity AwardsFlexible Time OffPaid Parental LeaveFamily PlanningFitness ReimbursementAnnual Career Development FundHome Office/Work Headphones ReimbursementEmployee Assistance Program (EAP) Business Travel Accident InsuranceMental Wellness ResourcesPay Range TransparencyDatabricks is committed to fair and equitable compensation practices.
Digital Native Account Executive
Company: Databricks
Location: San Francisco, CA
Posted Sep 21, 2023
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.ComplianceIf 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. The pay range(s) for this role is listed below and represents base 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. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$188,600—$333,600 USDAbout DatabricksDatabricks is the data and AI company.
Sr. Financial Analyst
Company: Databricks
Location: Other US Location
Posted Sep 20, 2023
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.ComplianceIf 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. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. You will help improve our analysis, planning, and reporting of R&D spend, with a focus on cloud costs. You will be responsible for implementing Anaplan solutions across the organization to help with forecasting and reporting of key metrics.The impact you will have: &9679; Drive controllership of cloud cost reporting, accruals, PO creation and invoice approvals&9679; Develop and maintain KPI dashboards and identify areas of potential risk and opportunity&9679; Enhance and automate cloud cost forecasting and develop driver-based models to support product planning and contract negotiations&9679; Develop automated tracking of KPIs for strategic products and partner with Engineering, Product & Data Science teams to achieve company goals&9679; Develop Cost Attribution models to help inform drivers of current economics and improve forecasting&9679; Work and build relationships with partners across the R&D organization, finance and accounting teams to deliver improved insightsWhat we look for: &9679; Bachelor's Degree in Business, Finance, Economics or comparable quantitative field&9679; 2-5 years of experience with financial modeling & data analytics&9679; Experience in FP&A &9679; Experience with SQL and BI reporting tools like Tableau, Looker, PowerBI&9679; Experience dealing with cloud costs is a plus&9679; Experience in Anaplan is a plus&9679; Expert in Excel and Google Sheets; can maintain complex spreadsheets, comfortable with different modeling techniques and shortcutsBenefits Comprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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.
Sr. Security Engineer, Incident Response
Company: Databricks
Location: Other US Location
Posted Sep 22, 2023
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.ComplianceIf 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. Working knowledge of GCP and Azure.Broad Security subject matter expertise.Expertise in few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security etc)Experience with Enterprise Security, End Point Security and SaaS applications.Working knowledge of a SIEM and SOARHave experience building Incident Response Tooling and scripting language skillsU.S. The pay range(s) for this role is listed below and represents base 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. Citizenship Requirement:In order to comply with U.S. Government information security and federal contractor regulations, including Department of Defense Cloud Computing Security Requirements for Impact Level 6 Cloud Service Provider personnel, and facilitate compliance with other regulations such as FedRAMP High baseline, and requirements of certain federal contracts, this role is open to United States citizens on United States Soil only.BenefitsComprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundWork headphones reimbursementEmployee Assistance Program (EAP)Business travel accident insurancePay Range TransparencyDatabricks is committed to fair and equitable compensation practices.
Specialist Solutions Architect - Data Engineering & Google Cloud
Company: Databricks
Location: Remote
Posted Sep 22, 2023
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.ComplianceIf 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Databricks is headquartered in San Francisco, with offices around the globe. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$139,700—$247,300 USDZone 2 Pay Range$139,700—$247,300 USDZone 3 Pay Range$139,700—$247,300 USDZone 4 Pay Range$139,700—$247,300 USDAbout DatabricksDatabricks is the data and AI company. Spark, Hadoop, Kafka) and architectures2 years customer-facing experience in a pre-sales or post-sales roleCan meet expectations for technical training and role-specific outcomes within 6 months of hireBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experienceAbility to travel up to 30% when neededBenefitsMedical, Dental, and Vision401(k) PlanFSA, HSA and Commuter Benefit PlansEquity AwardsFlexible Time OffPaid Parental LeaveFamily PlanningFitness ReimbursementAnnual Career Development FundHome Office/Work Headphones ReimbursementEmployee Assistance Program (EAP) Business Travel Accident InsuranceMental Wellness ResourcesPay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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.
Specialist Solutions Architect - Data Engineering
Company: Databricks
Location: Remote
Posted Sep 23, 2023
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.ComplianceIf 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Databricks is headquartered in San Francisco, with offices around the globe. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Jenkins)Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networkingExperience implementing industry specific data analytics use casesProduction programming experience in SQL and Python, Scala, or Java2 years professional experience with Big Data technologies (e.g. Spark, Hadoop, Kafka) and architectures2 years customer-facing experience in a pre-sales or post-sales roleCan meet expectations for technical training and role-specific outcomes within 6 months of hireBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experienceAbility to travel up to 30% when neededBenefitsPrivate Medical and DentalLife InsuranceMeal allowanceEquity AwardsPaid Parental LeaveFitness ReimbursementAnnual Career Development FundHome Office/Work Headphones ReimbursementChildcare ReimbursementBusiness Travel Accident InsuranceMental Wellness ResourcesAbout DatabricksDatabricks is the data and AI company. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be streaming, performance tuning, industry expertise, or more.The impact you will have:Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deploymentArchitect production level data pipelines, including end-to-end pipeline load performance testing and optimizationBecome a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflowsAssist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architecturesProvide tutorials and training to improve community adoption (including hackathons and conference presentations)Contribute to the Databricks CommunityWhat we look for:Fluent-proficiency in English and Portuguese/Spanish5+ years experience in a technical role with expertise in at least one of the following:Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutionsData Applications Engineering: Build use cases that use data - such as risk modeling, fraud detection, customer life-time valueExtensive experience building big data pipelinesExperience maintaining and extending production data systems to evolve with complex needsDeep Specialty Expertise in at least one of the following areas:Experience scaling big data workloads that are performant and cost-effectiveExperience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces (e.g. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform.
Strategic Account Executive - Financial Services
Company: Databricks
Location: Boston, MA
Posted Sep 22, 2023
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.ComplianceIf 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. The pay range(s) for this role is listed below and represents base 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. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.The impact you will have:Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partnersClose both new accounts and existing accountsIdentify and close quick, small wins while managing longer, complex sales cyclesExceed activity, pipeline, and revenue targetsTrack all customer details including use case, purchase time frames, next steps, and forecasting in SalesforceUse a solution-based approach to selling and creating value for customersPromote Databricks' enterprise cloud data platform powered by Apache SparkEnsure 100% satisfaction among all customersPrioritize opportunities and applying appropriate resourcesBuild a plan for success internally at Databricks and externally with your accountsWhat we look for:You have previously worked in an early stage company and you know how to navigate and be successfulField sales experience within big data, Cloud, or SaaS salesPrior customer relationships with CIOs, program managers, and essential decision makersSimply articulate intricate cloud technologies10+ years experience exceeding sales quotasExpertise with financial services institutions preferableSuccess closing new accounts while working existing accountsUnderstanding of Spark and big data preferablePassion for cloud technologiesBachelor's DegreeBenefits Comprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)Mental Health Wellness ResourcesPay Range TransparencyDatabricks is committed to fair and equitable compensation practices. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Geo Enterprise Account Executive
Company: Databricks
Location: Remote
Posted Sep 20, 2023
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.ComplianceIf 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. The pay range(s) for this role is listed below and represents base 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. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Retail team and maximize the phenomenal market opportunity that exists for Databricks. You will report to the Regional Director of Enterprise Sales.The impact you will have: Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partnersClose both new accounts and existing accountsIdentify and close quick, small wins while managing longer, complex sales cyclesCustomer Obsessed: Ensure 100% satisfaction among your customerExceed activity, pipeline, and revenue targetsTrack all customer details including use case, purchase time frames, next steps, and forecasting in SalesforceUse a solution-based approach to selling and creating value for customersPromote Databricks' enterprise Lakehouse cloud data platform powered by Apache Spark and Delta LakePrioritize opportunities and applying appropriate resourcesBuild a plan for success internally at Databricks and externally with your accountsWhat we look for:You have previously worked in an early stage company and you know how to navigate and be successfulField sales experience within big data, Cloud, and SaaS salesPrior customer relationships with CIOs, program managers, and essential decision makers at F50 Retail accountsSimply articulate intricate cloud technologies7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industriesSuccess closing new accounts while working existing accountsUnderstanding of Spark and big data preferableBachelor's DegreeBenefits Comprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices. For more information regarding which range your location is in visit our page here.Local Pay Range$188,600—$333,600 USDAbout DatabricksDatabricks is the data and AI company.
Emerging Enterprise Account Executive
Company: Databricks
Location: Remote
Posted Sep 19, 2023
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.ComplianceIf 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$154,800—$273,800 USDZone 2 Pay Range$154,800—$273,800 USDZone 3 Pay Range$154,800—$273,800 USDZone 4 Pay Range$154,800—$273,800 USDAbout DatabricksDatabricks is the data and AI company. Based on the factors above, Databricks utilizes 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. The pay range(s) for this role is listed below and represents base 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. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Manager, Partner Strategy & Operations
Company: Databricks
Location: San Francisco, CA
Posted Sep 20, 2023
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.ComplianceIf 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. You have experience resolving prioritization conflicts, resourcing shortfalls, and timing issues, and can summarize challenges & recommendations succinctlyYou have 6+ years experience in sales or partnerships strategy, operations, or analytics. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. The pay range(s) for this role is listed below and represents base 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. You work through dependencies, bottlenecks, and tradeoffs with easeYou have a “get it done” attitude and want to build something that lasts.
Sr. Demand Generation Manager
Company: Databricks
Location: Remote
Posted Sep 19, 2023
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.ComplianceIf 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$119,000—$210,500 USDZone 2 Pay Range$107,100—$189,500 USDZone 3 Pay Range$101,200—$178,900 USDZone 4 Pay Range$95,200—$168,400 USDAbout DatabricksDatabricks is the data and AI company. The pay range(s) for this role is listed below and represents base 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. This position will help drive customer growth with consumption (upsell) and cross-sell motions. The impact you will have:Manage our global integrated demand generation campaign strategy through collaboration with marketing teams including brand, product marketing, digital, editorial, creative, social, customer success, growth marketing and regional field marketing teams to create qualified pipelineShape the strategic direction for the overall campaign.
Sr. Accountant, Revenue Technical Accounting & Strategy
Company: Databricks
Location: San Francisco, CA
Posted Sep 20, 2023
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.ComplianceIf 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. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$97,000—$171,700 USDAbout DatabricksDatabricks is the data and AI company. The pay range(s) for this role is listed below and represents base 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. This role requires a highly energetic, collaborative individual who is a problem solver and strategic thinker. The impact you will have:• Work closely with Commercialization and Product teams to understand new products and their impacts to revenue recognition policy• Think creatively to achieve business goals for new product launches while meeting revenue recognition standards• Research ASC 606 and document accounting memos for new product launches and go-to-market changes• Gather requirements, perform User Acceptance Testing, and support the implementation of NPI projects and other revenue-impacting initiatives• Design and implement improved processes that alleviate current state pain points and gaps• Summarize current process pain points and potential improvements and present to management• Help inform requirements, assess potential risks, and perform User Acceptance Testing for a new automated revenue recognition and billing/rating systemWhat we look for: • Bachelor's degree in Business, Finance, Accounting or related field• US GAAP and ASC 606 technical accounting experience with a focus on software and SaaS complexities• Expert in Microsoft Excel• 3+ years of accounting experience in revenue• Public accounting background • Proven track record of identifying and supporting process/operational improvements• Experience in a fast-paced environment with ability to embrace and successfully drive/implement change• Process optimization focused; vision with the ability to apply practical solutions and navigate through ambiguityBenefitsComprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices.