Jobs at Databricks
10,578 open positions
Emerging Enterprise Account Executive
Company: Databricks
Location: Washington DC
Posted Mar 17, 2024
<p datarendererstartpos=1648>SLSQ325R25<br >As an Emerging Enterprise Account Executive at Databricks you are have strong command of the SaaS sales process You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles You love understanding a product indepth and are passionate about communicating its value to customers and partners Always prospecting for new opportunities you will close new accounts Along with the chance to close exciting deals we also offer accelerators above 100 quota accomplishment You will report to a regional sales manager<p> <p datarendererstartpos=2006><strong datarenderermark=true>The impact you will have <strong><p> <ul><li>Assess your accounts and develop a strategy to identify and engage all buying centers<li> <li>Use a solution approach to selling and creating value for customers<li> <li>Identify the most viable use cases in each account to maximize Databricks impact<li> <li>Orchestrate and work with teams to maximize the impact on your ecosystem<li> <li>Build value with all engagements to promote successful negotiations to close point<li> <li>Promote Databricks enterprise cloud data platform powered by Apache Spark<li> <li>Be Customer focused by delivering technical and business results using the Databricks Platform<li> <li>Promote Teamworkit makes the Dreamwork<li> <ul><p><strong datarenderermark=true>What we look for <strong><p> <ul><li>You have previously worked in an earlystage company and you know how to navigate and be successful in a fast growing organization<li> <li>Sales experience within big data Cloud or SaaS sales<li> <li>Prior customer relationships with CIOs and important decisionmakers<li> <li>Simply articulate intricate cloud technologies and big data<li> <li>Experience exceeding sales quotas<li> <li>Success closing new accounts <li> <li>3+ years of sales experience in SaaSPaaS companies<li> <li>Bachelors Degree<li> <ul><p><strong datarenderermark=true>Benefits<strong><p> <ul><li>Comprehensive health coverage including medical dental and vision<li> <li>401k Plan<li> <li>Equity awards<li> <li>Flexible time off<li> <li>Paid parental leave<li> <li>Family Planning<li> <li>Gym reimbursement<li> <li>Annual personal development fund<li> <li>Work headphones reimbursement<li> <li>Employee Assistance Program EAP<li> <li>Business travel accident insurance<li> <li>Mental wellness resources<li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location 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 For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Zone 2 Pay Range<p> <p><span>$121600<span><span><span><span>$215200 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>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 socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Strategy & Execution Director
Company: Databricks
Location: San Francisco, CA
Posted Mar 16, 2024
<p datapmslice=1 1 >GAQ225R72<p> <p>Databricks is seeking a Strategy and Execution Director to operationalize the Databricks corporate strategy by leading the design implementation and optimization of processes and engagement models In this role you will drive cross functional alignment to scale the business for continued hypergrowth Successful candidates for the role will possess both a strategic business outlook ability to design processes to scale and the keen analytical skills to be able to look at the data into the details and requirements of various strategic initiatives while understanding the bigger picture and business objectives We are building a team that is more interested in getting it right than being right We care more about winning the game than who scored the points<p> <p>This role will report into the AVP Strategy and Execution within the central Corporate Operations function<p> <p><strong>Impact Youll Have<strong><p> <ul><li>Identifies opportunity areas and drives crossfunctional outcomes to grow and scale Databricks <li> <li>Design E2E scalable solutions weaving together process design operating model definition automation andor AI levers to optimize your answer<li> <li>Measure quantifiable impact of the outcomes implemented and create well defined KPIs to ensure successful execution of transformations and sustainable improvement <li> <li>Own operationalizing and delivering on the business outcome in conjunction with cross functional business partners while driving alignment with senior leadership <li> <li>Enable a tailored approach to meet the customer business needs by adjusting behavior and outcomes based on the dynamics of the team stakeholder and program situations<li> <li>Be selfdriven and show ability to drive decisions on ambiguous asks with incomplete data <li> <ul><p><strong>Who You Are<strong><p> <ul><li>8+ years of experience in driving strategic initiatives across many functions influencing stakeholders VP+ <li> <li>Experience in business process improvement business transformations or corporate strategy with time at a top tier consulting firm is a plus<li> <li>Consultative approach including ability to analyze process flows identify operational metrics <li> <li>Deep understanding or expertise in one or more business process areas idea to offering demand to quote hire to retire etc <li> <li>Advanced research and analysis skills that you can flex to address a complex problem andor situation<li> <li>Demonstrate an advanced ability to define and break down ambiguous and complex business problems<li> <li>Communicate complex ideas with authority influencing stakeholders including Databricks executives and department leadership<li> <li>Experience in the enterprise software industry SaaS and B2B experience preferred<li> <li>Comfortable and thrive in a rapidly scaling and dynamic startup environment<li> <li>Bachelors Degree required<li> <ul><p datarendererstartpos=2745><strong datarenderermark=true>Benefits <strong><p> <ul dataindentlevel=1><li> <p datarendererstartpos=3007>Comprehensive health coverage including medical dental and vision<p> <li> <li> <p datarendererstartpos=3007>401k Plan<p> <li> <li> <p datarendererstartpos=3093>Equity awards<p> <li> <li> <p datarendererstartpos=3110>Flexible time off<p> <li> <li> <p datarendererstartpos=3131>Paid parental leave<p> <li> <li> <p datarendererstartpos=3154>Family Planning<p> <li> <li> <p datarendererstartpos=3173>Gym reimbursement<p> <li> <li> <p datarendererstartpos=3194>Annual personal development fund<p> <li> <li> <p datarendererstartpos=3230>Employee Assistance Program EAP<p> <li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location 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 For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Zone 1 Pay Range<p> <p><span>$189600<span><span><span><span>$335400 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>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 socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Senior Specialist Solutions Engineer
Company: Databricks
Location: Remote
Posted Mar 19, 2024
<p>FEQ225R76<p> <p>As a Senior Specialist Solutions Engineer you will guide customers in building big data solutions on Databricks that span a large variety of use cases<p> <p>This is a customerfacing role working with and supporting the Solution Architects team requiring handson production experience with cloud infrastructure and big data technologies<p> <p>You will help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform<p> <p>As a deep gotoexpert reporting to the Specialist Field Engineering Manager you will continue to strengthen your technical skills through mentorship learning and internal training programs to consolidate the skills in your area of specialty <p> <p><br ><p><p><strong>The impact you will have <strong><p> <ul><li>Provide technical leadership to guide strategic customers to successful implementations on big data projects ranging from architectural and security design to development and deployment best practices including automation<li> <li>Architect production level workloads including endtoend pipeline load performance testing and optimisation<li> <li>Provide technical expertise in cloud infrastructure and security relating to the Databricks Data Intelligence Platform <li> <li>Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content workload sizing and custom architectures<li> <li>Improve community adoption through tutorials training hackathons and conferenceevent presentations<li> <li>Contribute to the Databricks Community and act as a technical SME<li> <ul><p><br ><p><p><strong>What we look for<strong><p> <ul><li>Presales or postsales experience working with external clients across a variety of industry markets<li> <li>Experience designing cloud infrastructure and services such as AWS Azure or GCP using best practises in cloud security and networking including several of the following <ul><li>Designing deploying and maintaining cloud networks<li> <li>Infrastructure security eg managing networklevel security private endpoints firewalls etc<li> <li>Identity amp Access Management eg rolebased access control using the principle of least privilege integration with IdPs etc<li> <ul><li> <li>Handson experience with cloud infrastructure automation eg Terraform or cloudspecific resource management tools like ARM CloudFormation etc and development tools for engineers including CICD unit and integration testing plus automation and orchestration<li> <li>Expertise in the design of highly performant scalable secure and costeffective cloudbased big data solutions including a familiarity with big data technologies such as SparkDelta Hadoop and MPP<li> <li>Production programming experience in at least one the following languages Python Scala SQL or R<li> <li>Bachelors degree in Computer Science Information Systems Engineering or equivalent work experience <li> <li>Preferably located in Milan or Rome and flexible to travel up to 30 when needed<li> <ul><p><br ><p><p><strong>Benefits <strong><p> <ul><li>Enhanced Parental Leaves<li> <li>Fitness reimbursement<li> <li>Annual career development fund<li> <li>Home office amp work headphones reimbursement<li> <li>Employee referral bonus<li> <li>Equity awards<li> <li>Fitness reimbursement<li> <li>Business travel accident insurance<li> <li>Mental wellness resources<li> <li>Private Medical Insurance<li> <li>Life accident amp disability insurance<li> <ul><div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>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 socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Sr Manager, Startup Sales
Company: Databricks
Location: New York City, NY
Posted Mar 19, 2024
Databricks is seeking a Sr Manager of Sales, Start-ups to lead a team of Account Executives in acquiring and growing early to mid-stage startup customers. The role involves building and leading a team, driving AI transformation in the startup ecosystem, and exceeding annual sales targets. The ideal candidate should have 5+ years of experience in building high-growth sales teams in the Big Data, Cloud, Analytics, and AI spaces, with a proven track record of exceeding quota and thriving in hyper-growth environments. The company offers comprehensive benefits, including health coverage, 401(k) Plan, equity awards, flexible time off, and more.
Sr. Product Manager, Streaming
Company: Databricks
Location: Seattle, WA
Posted Mar 16, 2024
<p>RDQ225R415<p> <p>At Databricks we are passionate about enabling data teams to solve the worlds 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 worlds best data and AI infrastructure platform so our customers can use deep data insights to improve their business<p> <p>Streaming is one of the fastest growing product areas of the Databrick Lakehouse platform In this role you will drive product management for the backbone of Lakehouses streaming capabilities Structured Streaming Engine You will own and drive all aspects of product management including vision strategy roadmap execution and gotomarketing In addition you will partner closely with various Databricks product teams to enable streaming for the overall Databrick product portfolio including data science data engineering and machine learning products<p> <p>The impact you will have<p> <ul><li>Drive product management for one of the fastest growing businesses at Databricks<li> <li>Make company wide impact by driving streaming across the Databricks product portfolio<li> <li>Develop and deepen understanding of and expertise in streaming a hypergrowing domain in the data and AI industry<li> <li>Define shape and drive the future of data processing data applications and data pipelines<li> <li>Own the full life cycle of product development from ideation to requirements development pricing launch and gotomarket<li> <ul><p>What We Look For<p> <ul><li>5+ years of product management and related experience with enterprise or SaaS products<li> <li>Educational or professional background in computer science or related engineering fields<li> <li>Ability to partner with senior technical leaders from Engineering while going deep on technical concepts<li> <li>Track record of delivering products with crossfunctional teams common to enterprise software industry field engineering sales marketing partnerships etc<li> <li>Analytical skills to make datadriven decisions eg analyze product usage<li> <li>A background in streaming is a plus but not required<li> <ul><p><strong>Benefits<strong><p> <ul><li>Comprehensive health coverage including medical dental and vision<li> <li>401k Plan<li> <li>Equity awards<li> <li>Flexible time off<li> <li>Paid parental leave<li> <li>Family Planning<li> <li>Gym reimbursement<li> <li>Annual personal development fund<li> <li>Employee Assistance Program EAP<li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location 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 For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Zone 2 Pay Range<p> <p><span>$109500<span><span><span><span>$194000 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>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 socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Application Integration Engineer (Mulesoft)
Company: Databricks
Location: Other US Location
Posted Mar 18, 2024
Databricks, a leading data and AI company, is seeking an experienced Integration Engineer to join their growing IT Data Analytics, Engineering & Integration team. The role involves designing and supporting application integration, collaborating with business and application teams, and playing an analytical role in data design. The ideal candidate should have 2+ years of experience with Mulesoft, proficiency in Python, Golang or Scala, and experience with big data tools like Spark. Databricks offers comprehensive benefits, including health coverage, 401(k) Plan, equity awards, and flexible time off.
Lead Migrations Solutions Architect
Company: Databricks
Location: Remote
Posted Mar 16, 2024
<p>FEQ324R93<p> <p>At Databricks we are passionate about enabling data teams to solve the worlds toughest problems Our customers leverage the Databricks Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions faster Customers rely on Databricks for the full range of data workloads including data engineering ETL near realtime streaming machine learning SQL analytics and advanced analytics <p> <p>As a Lead Migration Solution Architect in the product specialist team you will be a deep technical expert in Enterprise Data Warehousing EDW and in how customers can be successful with these usecases on the Databricks Intelligence Platform You will work closely with customers Databricks product team and the Global Databricks customerfacing technical field to develop architectures and solutions using our platform and APIs You will bring your expertise in EDW and Data Lakehouse technologies including Apache Spark to build scalable and reusable assets to help guide customers through the competitive landscape best practices and implementation and develop technical champions along the way You will provide thought leadership on best practices for migration of EDW workloads to the Lakehouse You will support enablement activities for the EMEA technical field and drive the EMEA chapter of the relevant SME groups You will drive customer success through direct engagement and scale your expertise across EMEA <p> <p>You will report directly to the Sr Director Product Specialists Databricks Field Engineering and can be located in either London Paris or Munich Databricks Field Engineering works with our current and future customers to grow adoption win technical validations and advise customers on Databricks Lakehouse best practices The LeadSr Migration Specialist Solution Architect will own the enablement and escalations within the Global Field Engineering team around EDW migrations<p> <p><strong>The impact you will have<strong><p> <ul><li>Deliver thought leadership and bestpractices in Data Warehousing and in particular in migrating data warehousing workloads from legacy tools to the Databricks Lakehouse Platform ranging from architectural and security design to development and deployment approaches<li> <li>Provide guidance and oversight for largescale enterprise data warehouse migrations serving as a trusted technical advisor to senior tech leads and executives<li> <li>Become a technical expert in areas such as cloud platforms data management performance and architecture<li> <li>Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content workload sizing and custom architectures<li> <li>Improve community adoption through tutorials training hackathons conference presentations<li> <ul><p><strong>What we look for<strong><p> <ul><li>Experience in designing and delivering Enterprise Data Warehousing Solutions in a client or customer environment<li> <li>Ability to advise customers in Data Warehousing architecture Prepare Databricks stakeholders for internal conversations and communicate directly including anticipating blockers and address them before they become an issue<li> <li>Certification andor demonstrated competence in the major cloud platforms AWS GCP Azure <li> <li>Demonstrated competence in the Databricks platform including handson experience with Apache Spark Python and SQL<li> <li>Experience in presales selling<li> <li>Bachelors degree in Computer Science Information Systems Engineering or equivalent work experience<li> <ul><p><strong>Benefits<strong><p> <ul><li>Private medical insurance<li> <li>Private dental insurance<li> <li>Health Cash Plan<li> <li>Life income protection amp critical illness insurance<li> <li>Pension PlanEquity awards<li> <li>Enhanced Parental Leaves<li> <li>Fitness reimbursement<li> <li>Annual career development fund<li> <li>Home office amp work headphones reimbursement<li> <li>Business travel accident insurance<li> <li>Mental wellness resources<li> <li>Employee referral bonus<li> <ul><div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>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 socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Senior Software Engineer - Money Team
Company: Databricks
Location: Washington DC
Posted Mar 16, 2024
Databricks, a company founded by the creators of Apache Spark, is seeking a Sr. Software Engineer for the Money team. The role involves managing the billing process, including usage ingestion, metering, pricing, and more. The engineer will collaborate with various teams to standardize billing experiences across major cloud providers. Key responsibilities include designing and managing Money systems, developing pricing primitives, enhancing engineering efficiency, and using AI for cost optimization. The ideal candidate should have a degree in Computer Science, technical leadership experience, and a proven track record in building and managing distributed services.
Sr. Product Manager, Streaming
Company: Databricks
Location: San Francisco, CA
Posted Mar 16, 2024
<p>RDQ225R415<p> <p>At Databricks we are passionate about enabling data teams to solve the worlds 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 worlds best data and AI infrastructure platform so our customers can use deep data insights to improve their business<p> <p>Streaming is one of the fastest growing product areas of the Databrick Lakehouse platform In this role you will drive product management for the backbone of Lakehouses streaming capabilities Structured Streaming Engine You will own and drive all aspects of product management including vision strategy roadmap execution and gotomarketing In addition you will partner closely with various Databricks product teams to enable streaming for the overall Databrick product portfolio including data science data engineering and machine learning products<p> <p>The impact you will have<p> <ul><li>Drive product management for one of the fastest growing businesses at Databricks<li> <li>Make company wide impact by driving streaming across the Databricks product portfolio<li> <li>Develop and deepen understanding of and expertise in streaming a hypergrowing domain in the data and AI industry<li> <li>Define shape and drive the future of data processing data applications and data pipelines<li> <li>Own the full life cycle of product development from ideation to requirements development pricing launch and gotomarket<li> <ul><p>What We Look For<p> <ul><li>5+ years of product management and related experience with enterprise or SaaS products<li> <li>Educational or professional background in computer science or related engineering fields<li> <li>Ability to partner with senior technical leaders from Engineering while going deep on technical concepts<li> <li>Track record of delivering products with crossfunctional teams common to enterprise software industry field engineering sales marketing partnerships etc<li> <li>Analytical skills to make datadriven decisions eg analyze product usage<li> <li>A background in streaming is a plus but not required<li> <ul><p><strong>Benefits<strong><p> <ul><li>Comprehensive health coverage including medical dental and vision<li> <li>401k Plan<li> <li>Equity awards<li> <li>Flexible time off<li> <li>Paid parental leave<li> <li>Family Planning<li> <li>Gym reimbursement<li> <li>Annual personal development fund<li> <li>Employee Assistance Program EAP<li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location 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 For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Zone 1 Pay Range<p> <p><span>$115400<span><span><span><span>$204200 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>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 socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Solutions Architect, LATAM
Company: Databricks
Location: Remote
Posted Mar 18, 2024
Databricks is seeking an experienced pre-sales professional with a strong background in big data, AI/ML, and cloud technology. The role involves working closely with large enterprises to help them become more data-driven, leading technical strategy, and driving business transformation. The ideal candidate should have 5+ years of experience with enterprise customers, robust expertise in big data technologies, and fluency in Portuguese and English. Benefits include private medical and dental, equity awards, and career development opportunities.
Security Engineer, Incident Response
Company: Databricks
Location: Other US Location
Posted Mar 17, 2024
Databricks is seeking a seasoned Incident Response professional with at least 6 years of experience. The role involves leading incidents, investigations, and security initiatives, and requires expertise in cloud security, enterprise security, endpoint security, and SaaS applications. The candidate will communicate technical decisions, triage security events, and build automation for incident response. Databricks offers comprehensive benefits and a competitive pay range. The company is committed to diversity and inclusion.
Staff Software Engineer - Money Team
Company: Databricks
Location: Washington DC
Posted Mar 16, 2024
<p>Staff Software Engineer Money Team<p> <p><br ><p><p>P940<p> <p><br ><p><p>At Databricks we are obsessed with Data + AI to solve the worlds toughest problems from security threat detection to cancer drug development We do this by building and running the worlds best data and AI infrastructure platform so our customers can focus on the highvalue challenges that are central to their missions<p> <p>Founded in 2013 by the original creators of Apache Spark Databricks has grown from a tiny corner office in Berkeley CA to a global organization with over 6500 employees Thousands of organizations from small to Fortune 100 trust Databricks with their missioncritical workloads making us one of the fastestgrowing SaaS companies in the world<p> <p>The Money teams mission at Databricks is to maximize the value that our customers derive from their investments in data projects We accomplish this through innovative commercialization strategies and cuttingedge engineering Our team ensures timely accurate and customizable billing and usage data alongside budgeting forecasting and cost optimization tools We provide a seamless and consistent billing experience for all our customers whether they are large enterprises or individual developers across different pricing plans and cloud providers AWS GCP amp Azure<p> <p>As a software engineer on the Money team you will be closely involved in the entire billing process including usage ingestion metering pricing credits promotions payments usage reporting and cost center and budgeting Your role is crucial in democratizing data by bringing Databricks products to market By collaborating with marketing product teams commercialization experts data scientists IT and customer support you will standardize billing experiences across major cloud providers offering our customers a unified sky computation experience This role involves utilizing the latest Databricks products and tools within the ecosystem<p> <p><br ><p><p><strong>The impact you will have<strong><p> <ul><li>Design and manage the Money systems and services commercializing all Databricks products and offerings<li> <li>Develop innovative primitives that enable and support various pricing strategies such as PayAsYouGo commissions credits trials and promotions<li> <li>Enhance engineering and infrastructure efficiency reliability accuracy and response times including CICD processes test frameworks data quality assurance endtoend reconciliation and anomaly detection<li> <li>Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans<li> <li>Use AI and LLMs to innovate in cost insight prediction and optimization across various cloud providers<li> <li>You will become an expert at using the Databricks Data + AI tools<li> <li>Provide leadership in longterm vision and requirements development for Databricks products in partnership with our engineering teams<li> <li>Represent Databricks at academic and industrial conferences amp events<li> <ul><p><strong>What we look for<strong><p> <ul><li>BS or higher degree in Computer Science or a related field<li> <li>Technical leadership experience in large projects similar to those described including near realtime large data processing and distributed service infrastructure management<li> <li>Proven track record of building shipping and managing reliable distributed services and data pipelines at scale<li> <li>Demonstrated leadership skills and the ability to lead across functional and organizational boundaries<li> <li>A proactive approach and a passion for delivering highquality solutions<li> <ul><p><strong>Benefits<strong><p> <ul><li>Comprehensive health coverage including medical dental and vision<li> <li>401k Plan<li> <li>Equity awards<li> <li>Flexible time off<li> <li>Paid parental leave<li> <li>Family Planning<li> <li>Gym reimbursement<li> <li>Annual personal development fund<li> <li>Work headphones reimbursement<li> <li>Employee Assistance Program EAP<li> <li>Business travel accident insurance<li> <ul><div> <div> <p> <p> <div> <div> <div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location 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 For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Local Pay Range<p> <p><span>$182400<span><span><span><span>$247000 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>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 socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>