Communicating Between Technical and Non-Technical Colleagues

As a Staff Data Engineer, you will communicate effectively with technical and non-technical stakeholders, support and host discussions within a multidisciplinary team, and be an advocate for the team externally.

Data Analysis and Synthesis

You will undertake data profiling and source system analysis, present clear insights to colleagues to support the end use of the data.

Data Development Process

You will design, build and test data products that are complex or large scale, build teams to complete data integration services.

Data Innovation

You will understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage.

Data Integration Design

You will select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines.

Data Modeling

You will produce relevant data models across multiple subject areas, explain which models to use for which purpose, understand industry-recognised data modelling patterns and standards, and when to apply them, compare and align different data models.

Metadata Management

You will design an appropriate metadata repository and present changes to existing metadata repositories, understand a range of tools for storing and working with metadata, provide oversight and advice to more inexperienced members of the team.

Problem Resolution

You will respond to problems in databases, data processes, data products and services as they occur, initiate actions, monitor services and identify trends to resolve problems, determine the appropriate remedy and assist with its implementation, and with preventative measures.

Programming and Build

You will use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations, collaborate with others to review specifications where appropriate.

Technical Understanding

You will understand the core technical concepts related to the role, and apply them with guidance.

Testing

You will review requirements and specifications, and define test conditions, identify issues and risks associated with work, analyse and report test activities and results.

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Principal Responsibilities: The role holder will conduct customer strategy analysis focusing on acquisition, activation, retention, conversion, and LTV, and deliver actionable insights. Build and maintain customer segmentation frameworks to support targeted and personalized marketing and operations. Leverage advanced data analytics tools and methodologies to develop, validate, and optimize predictive models, contributing to generate high-quality leads. Analyze customer journey, conversion funnels, and drop-off points to identify bottlenecks and recommend experience improvements. Evaluate the performance of marketing campaigns, membership programs, loyalty initiatives, and promotional strategies by measuring ROI, conversion rate, and engagement metrics. Partner with product, marketing, operations, and customer teams to translate data insights into executable strategies and drive business decisions. Support the business team's campaign needs, including RM lead generation and manual SMS outreach. Develop and maintain customer-focused dashboards, KPIs, and reporting systems.

To be successful in the role, you should meet the following requirements: Minimum of 5 years' experience in one or multiple skills in data/business analytics in the financial or digital domains. Demonstrated experience in process and analysis of large amounts of data using one of these: Python, R, SQL, or SAS; on environments such as AWS, Google Cloud, or Hadoop. Knowledge and experience in AI, big data, machine learning, or predictive algorithms, statistics modeling, and data mining. Excellent communication and teamwork skills, able to collaborate effectively with different departments and stakeholders. Strong problem-solving skills and innovative thinking, able to translate complex business problems into data analytics solutions. Proven experience in one or more of: customer segmentation, digital marketing, data science, portfolio analytics, use of open-source data in analyses. Good English communication skills, able to collaborate effectively with domestic and international teams.

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You'll work with a large and rich dataset, modern tooling, and teammates who care deeply about impact, collaboration, and learning together. This role is based in Munich with 3 office days per week.

As a Senior Data Scientist, you'll take ownership of complex pricing and forecasting models and help us turn analytical ideas into real-world impact for hosts and Holidu. You will:

• Translate business questions into scientific, testable models and clear recommendations.
• Design, build and own machine learning, forecasting and predictive models for revenue management topics such as demand forecasting, price sensitivity, and conversion probability.
• Explore and develop dynamic pricing strategies (e.g. weekend pricing, early discounts, regional similarities) using data and experimentation.
• Collaborate closely with Data Analysts and Data Engineers to define datasets, features, and model requirements.
• Drive discussions around model choice, assumptions, and trade-offs, always keeping business impact in mind.
• Monitor model performance, iterate on results, and continuously improve accuracy and relevance.
• Act as a senior sparring partner in the team, sharing knowledge and raising the bar for data science practices.

You'll have 5+ years of experience as a Data Scientist, solving a variety of different business problems. You'll have a strong background in statistics, forecasting, and machine learning. You'll be hands-on with Python and SQL, and confident working with large datasets. You'll have a strong interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must).

You'll be a self-starter: proactive, hungry to learn, and eager to make an impact. You'll be able to communicate complex ideas clearly and collaborate with technical and non-technical partners.

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You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products.

They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem.

Responsibilities:

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

Requirements:

• 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications
• Expert level knowledge in python is desired
• Strong experience with SQL-based database is required
• Linux/Unix administration skills
• Hands-on experience with AWS, Azure or GCP
• Experience with "Distributed Big Data Computing" environment
• Technical degree or the equivalent experience
• Written and spoken proficiency in both Japanese and English

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You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products.

They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem.

You will report to the Senior Manager of Technical Solutions.

Key responsibilities include: Troubleshooting and resolving complex customer issues related to Databricks platform Providing best practices support for custom-built solutions developed by Databricks customers Delivering suggestions for improving performance in customer-specific environments Assisting with issues around third-party integrations with Databricks environment Demonstrating and coordinating with engineering and escalation teams to achieve resolution of customer issues and requests Participating in the creation and maintenance of company documentation and knowledge articles Being a true proponent of customer advocacy Strengthening your AWS/Azure and Databricks platform expertise through learning and internal training programs Participating in weekend and weekday on call rotation

Requirements include: Minimum 4 years experience designing, building, testing, and maintaining Python/Java/Scala based applications Expert level knowledge in python is desired Solid experience with SQL-based database is required Linux/Unix administration skills Hands-on experience with AWS, Azure or GCP Candidate must possess excellent English written and oral communication skills Experience with "Distributed Big Data Computing" environment Technical degree or the equivalent experience

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We're looking for someone with a strong technical background in big data analytics, who can operate as a trusted advisor to our customers. You will be responsible for developing successful relationships with clients, providing technical and business value, and scaling best practices in your field.

As a Solutions Architect, you will:

• Form successful relationships with clients throughout your assigned territory
• Operate as an expert in big data analytics to excite customers about Databricks
• Develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications
• Grow your knowledge and expertise to the level of a technical and/or industry specialist

To succeed in this role, you will need:

• Experience with coding in a core programming language (i.e., Python, Java, Scala)
• A base level in Spark
• A builder mindset with a passion for quick prototyping and experience in vibe coding
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences
• Joy in drilling deeper on tough technical questions and solution architecture while always keeping the big picture in mind

Fluency in German is a strong advantage, but not required.

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, please visit our website.

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.

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.

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Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth.

The Impact You Will Have:

• Alongside the sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for the FSIs and DIBs customers
• You will hire, train, lead, and grow the Solutions Architect team for a company in high-growth mode
• Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses
• You will maintain a robust hiring pipeline at all times
• Establish relationships across the business to make your customers and team successful
• Keep your team of SAs ahead of the technical curve

An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For:

• Proven experience building and leading technical pre-or post-sales teams
• 5+ years of experience in the data space with a technical product (i.e., data warehousing, big data, machine learning, or more recently with generative AI)
• Alternatively, 5+ years of experience in mission-focused space impacting DIB or FSI from a technology perspective
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
• Strategic mindset focused on driving customer outcomes in an accelerated fashion
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
• Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
• Technical and business skills to earn the trust of Engineering talent and leadership at Databricks
• Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions

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 $192,100-$264,175 USD

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Key responsibilities include:

• Developing and executing a territory plan within the first 90 days
• Meeting with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Closing both new accounts and existing accounts
• Identifying and closing quick, small wins while managing longer, complex sales cycles
• Exceeding activity, pipeline, and revenue targets

Requirements include:

• 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Bachelor's Degree and 5+ years of experience selling SaaS solutions to Enterprise Customers in Thailand

Benefits include:

• Comprehensive benefits and perks that meet the needs of all employees
• A diverse and inclusive culture where everyone can excel

At Databricks, we strive to provide a comprehensive benefits package that meets the needs of all employees. For specific details on the benefits offered in your region, please click here.

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You will form successful relationships with clients throughout Vietnam, providing technical and business value to Databricks customers in collaboration with Account Executives. You will operate as an expert in big data analytics, developing into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.

Your responsibilities will include:

• Developing customer relationships and building internal partnerships with account executives and teams
• Engaging customers in technical sales, challenging their questions, guiding clear outcomes, and communicating technical and value propositions
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth
• Proficiency in the Vietnamese language is required as this role serves clients based in Vietnam and involves direct customer communications in the Vietnamese language

In return, you will have the opportunity to grow your knowledge and expertise to the level of a technical and/or industry specialist, and contribute to the success of our customers and the growth of our organization.

If you're passionate about working with data and AI, and want to make a real impact, we encourage you to apply for this exciting opportunity.

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As a successful candidate, you are a creative, energetic self-starter who understands the sales process. You know how to sell innovation and change through customer vision expansion and can drive deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always hunting for new opportunities, you will be asked to close net new accounts while maintaining existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota accomplishment.

The Impact You Will Have:

• Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage.
• Champion real-world change: Lead initiatives that make measurable impact , from accelerating innovation in health and education to supporting sustainability and economic development.
• Shape Databricks’ Public Sector footprint: Identify, structure, and close strategic opportunities that align our capabilities with Australia’s digital priorities.
• Inspire through connection: Build trusted relationships with senior decision-makers, tell compelling stories about our impact, and influence at the highest levels.
• Execute with excellence: Manage the end-to-end sales cycle , from prospecting and initial engagement to closing transformative deals and driving platform adoption.
• Collaborate for success: Work with solution architects, customer success, and global teams to deliver solutions that empower customers and ensure long-term success.

What We Look For:

• A passion for impact , you’re motivated by helping organisations use technology for the public good.
• Proven experience in enterprise or Public Sector sales, ideally in Cloud, Data, or SaaS.
• Strategic and structured in approach, with strong execution and accountability.
• Excellent communication and relationship-building skills with senior stakeholders.
• Growth mindset, creativity, and adaptability in dynamic, innovative environments.
• Knowledge of Spark and Big Data is highly desirable

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You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark programming and integration with the wider cloud ecosystem
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups

Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Strong consulting / customer facing experience, working with external clients across a variety of industry markets
• Core strength in either data engineering or data science technologies
• 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
• 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 6+ years of experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Coding experience in Python, R, Java, Apache Spark or Scala

About Databricks

Databricks is the data and AI company. More than 10,000 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 Twitter, LinkedIn and Facebook.

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.

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We are seeking an experienced Engagement Manager to join our team in Tokyo. As an Engagement Manager, you will be responsible for driving customer success by ensuring that our customers are making the most value of our products and services.

Key Responsibilities:

• Collaborate with sales counterparts to understand customer needs and develop valued solutions
• Identify opportunities for new services and articulate the business value
• Perform as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training bookings and revenue targets
• Consult with clients to understand and analyze engagement scope, requirements, time, cost, and benefits
• Drive resolution of delivery challenges, address resource contentions, scoping issues, and manage expectations

Requirements:

• Strong fundamental knowledge around Big Data Platforms Implementation from both the technology, operations, and security/governance lenses
• Proven experience in selling services offerings at either implementation, advisory, education, and change management capacity
• Senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding, and execution to both business and technology audiences
• Consistent track record of identifying customer needs and successfully implementing solutions
• Owning projects/programs in agile scrum/kanban delivery methodology as well as waterfall methodology
• Strong problem-solving skill about customer's pain points by using modern technologies
• Excellence in presentation skills, providing proposals that enforce good project governance and drive scalable delivery practices to both internal and external executives
• High-level orchestration skills to align both internal and external stakeholders when proposing large initiatives
• Strong service delivery and program management skills with the ability to synthesize customer success outcomes into well-structured program plans that deliver against such outcomes

Preferred Qualifications:

• Prior experience in project/program proposal to customers at Consulting, SI, Software/Cloud Vendor
• Bachelor's degree in Computer Science or related educational background

Benefits:

• Comprehensive benefits and perks that meet the needs of all employees

Commitment to Diversity and Inclusion:

• Databricks is committed to fostering a diverse and inclusive culture where everyone can excel

Compliance:

• Access to export-controlled technology or source code is required for performance of job duties, and it is within Employer's discretion whether to apply for a U.S. government license for such positions

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You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles; and build relationships with key stakeholders in your customers' companies.

Key responsibilities include:

• Managing hiring, building the pre-sales team of Solutions Architects
• Rapidly scaling the designated Field Engineering segment organisation without sacrificing quality
• Building a collaborative culture within a rapid-growth team

To embody and promote Databricks' customer-obsessed, teamwork, and diverse culture

• Supporting increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
• Promoting a solution and value-based selling field-engineering organisation
• Displaying an understanding of business needs and revenue potential for accounts in the assigned region
• Building Databricks' brand in partnership with the Marketing and Sales team

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Your impact will be significant, as you will be the main technical voice for Databricks, leading your customers on a transformational journey to evaluate and adopt Databricks as part of their strategy. You will implement the technical strategy in the account, in close understanding of the strategy, and build a movement of technical champions within the account.

Responsibilities include:

• Establishing virtual customer collaboration and leading them to ultimate success within the account
• Working multiple accounts simultaneously
• Forming relationships with executives and influencers
• Presenting a convincing point-of-view to important decision-makers that leads them down a path of success
• Being technical in big data, data science, and cloud
• Driving data-driven business transformation and change with data

Nice to have: Databricks and Cloud Provider Certifications

Benefits: Comprehensive benefits and perks that meet the needs of all employees, including those in your region.

Our Commitment to Diversity and Inclusion: We foster a diverse and inclusive culture where everyone can excel, and our hiring practices are inclusive and meet equal employment opportunity standards.

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Your responsibilities will include: Troubleshooting and resolving complex customer issues related to the Databricks Platform by analysing core component metrics and logs. Providing suggestions and best practice guidance for improving performance in customer-specific environments and providing product improvement feedback. Helping the support team with detailed troubleshooting guides and runbooks. Contributing to automation and tooling programs to make daily troubleshooting efficient. Partnering with the engineering team and spreading awareness of upcoming features and releases. Identifying and contributing supportability features back into the product. Demonstrating ownership and coordinating with engineering and escalation teams to achieve resolution of customer issues and requests. Participating in weekend and weekday on-call rotation.

We look for candidates with 12+ years of industry experience, expertise in scripting using Python or Shell, and comfort with black box troubleshooting. Experience with supporting Java, Scala or Python based applications, distributed big data computing environments, SQL-based database systems, Linux and network troubleshooting, and cloud services such as AWS, Azure or GCP is also required.

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You will work closely with the Account Executive to develop and execute a technical strategy that aligns with the customer's goals and objectives. You will also work with a team of engineers to build proofs of concept and demonstrate our products.

The ideal candidate will have a strong background in value selling, technical account management, and technical leadership. They will also have a solid understanding of big data, data science, and cloud technologies.

Responsibilities:

• Define and direct the technical strategy for our largest and most important accounts
• Work closely with the Account Executive to develop and execute a technical strategy that aligns with the customer's goals and objectives
• Collaborate with a team of engineers to build proofs of concept and demonstrate our products
• Provide technical guidance and support to customers
• Work with customers to identify and address technical issues

Requirements:

• 5+ years of experience working with large enterprises in the Retail and CPG space
• 3+ years of experience in a pre-sales capacity or supporting sales activity
• Strong background in value selling, technical account management, and technical leadership
• Solid understanding of big data, data science, and cloud technologies
• Experience with design and implementation of big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP
• Production programming experience in Python, R, Scala, or Java

Nice to have:

• Databricks Certification

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We are looking for a software engineer to join our team as a founding member of our Belgrade site. As a software engineer, you will be involved in the entire development cycle and exemplify all core Databricks values.

The responsibilities you will have:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring

What we look for:

• BS in Computer Science or equivalent practical experience in databases or distributed systems
• Comfortable working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 3+ years of production level experience in either Java, Scala or C++
• Solid foundation in algorithms and data structures and their real-world use cases
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop)

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, please click here.

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You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.

This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.

A key responsibility of this role is to hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.

Responsibilities:

• Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.

• Adapt the SA team's skills and engagement model to match the needs of Digital native customers.

• Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle.

• Travel to customer sites for executive sessions, technical workshops, and building relationships.

• Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team.

• Stay current with emerging Data and AI trends in the digital native tech sector.

What we look for:

• 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning).

• 5+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment.

• A history of building a territory, growing strategic accounts, and exceeding targets.

• Inspiring a team vision about the unique nature of the digital natives business.

• A history of execution by managing workloads and consumption with sales, product, and engineering counterparts.

• Experience owning executive alignment in accounts that guide strategic decisions.

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 $192,100-$264,175 USD

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Key responsibilities include:

• Presenting a territory plan within the first 90 days
• Meeting with CIOs, IT executives, LOB executives, program managers, and other important partners
• Closing both new accounts and existing accounts
• Identifying and closing quick, small wins while managing longer, complex sales cycles
• Exceeding activity, pipeline, and revenue targets
• Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce

Requirements include:

• Native Portuguese speaker with strong English language skills
• Previous experience in field sales within big data, cloud, and SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Ability to simply articulate intricate cloud technologies
• 3+ years of relevant full-cycle sales experience exceeding quotas
• Understanding of Apache Spark and big data preferable

Benefits include accelerators above 100% quota attainment and a commitment to diversity and inclusion.

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We are seeking a seasoned leader to join our Field Engineering team as a Sr. Manager, Field Engineering - Financial Services. As a key member of our team, you will be responsible for leading a team of Solutions Architects for the Financial Services segment of Databricks' Regulated Industries Field Engineering team.

Responsibilities:

• Lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.
• Partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks' Data Intelligence Platform.
• Scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have:

• Hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• Maintain a robust hiring pipeline of highly qualified, bar-raising candidates.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack.
• Ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs.

What We Look For:

• Proven experience building and leading technical pre-sales teams.
• 10+ years of experience in the data space with a technical product (i.e., data warehousing, big data, machine learning, or more recently with generative AI).
• Trusted advisor to technical executives that guide strategic data infrastructure decisions.
• Strong understanding of consumption-driven business models and the recipes for long-term growth and success.
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $192,100-$264,175 USD.

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, please 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.

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The impact you will have:

• Form successful relationships with clients in Hong Kong to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Apache Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, Java, or Scala.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and design.
• Proficiency in Cantonese is required as this role serves clients based in Hong Kong and involves direct customer communications in Cantonese

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Key Responsibilities:

• Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems

Requirements:

• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• Degree in computer science, machine learning, statistics, or related field

Nice to Have:

• M.S. or PhD in Machine Learning or related areas
• Publications at top ML conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
• Expertise in scalable real-time systems that process stream data
• Passion for applied ML and the Pinterest product

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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We are seeking a Senior Solutions Architect to join our team in Paris. As a Senior Solutions Architect, you will be responsible for providing technical and business value to Databricks customers in collaboration with Account Executives.

The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges.

Responsibilities:

• Form successful relationships with strategic enterprise clients within the Greenfield territory,
• Operate as an expert in big data analytics to excite customers about Databricks,
• Develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform,
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications,
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions,
• Develop customer relationships and build internal partnerships with account executives and teams,
• Experience with managing strategic enterprise accounts,
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark,
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s),
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

Mandatory requirements:

• The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule),
• Flexibility to travel (up to 30% as required for customer meetings, events and trainings),
• Business proficiency in both French and English required.

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You are passionate about data and AI, love getting hands-on with technology, and enjoy communicating its value to both technical and non-technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof-of-concept phases, and act as a trusted advisor to our customers on their data and AI strategy.

You will help customers realize tangible, data-driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem.

Responsibilities:

• Be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars, and meet-ups

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure, or GCP)
• Experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Fluent coding experience in Python or Scala implementing Apache Spark, Java, and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese

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.

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We are seeking a highly experienced Manager, Field Engineering to lead a team of Solutions Architects for our Field Engineering team in Latam. As a Manager, Field Engineering, you will be responsible for leading and promoting a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.

Key Responsibilities:

• Lead and promote a dynamic team of Solutions Architects
• Partner with Sales and other Field Engineering technical segments to increase revenue and help customers become wildly successful
• Scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market

The Impact You Will Have:

• Hire, train, and grow a team of Solutions Architects for a company in high-growth mode
• Make your customers extremely successful with Databricks and provide outsized value to their businesses
• Maintain a robust hiring pipeline at all times
• Establish relationships across the business to make your customers and team successful
• Keep your team of SAs ahead of the technical curve

What We Look For:

• Proven experience building and leading technical pre-or post-sales teams
• 10+ years of experience in the data space with a technical product
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Strong understanding of consumption-driven business models and the recipes for long-term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI.

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.

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Your responsibilities will include providing technical leadership to guide strategic customers to successful implementations on big data projects, architecting production-level data pipelines, becoming a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows, assisting Solution Architects with more advanced aspects of the technical sale, and contributing to the Databricks Community.

To succeed in this role, you will need to have a strong background in software engineering and data engineering, with expertise in at least one of the following areas: software engineering/data engineering, data applications engineering, or deep specialty expertise in areas such as scaling big data workloads, migrating Hadoop workloads to the public cloud, or experience with large-scale data ingestion pipelines and data migrations.

You will also need to have a bachelor's degree in computer science, information systems, engineering, or equivalent experience through work experience, production programming experience in SQL and Python, Scala, or Java, and 2 years of professional experience with Big Data technologies and architectures.

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You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark programming and integration with the wider cloud ecosystem
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups

Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Strong consulting / customer facing experience, working with external clients across a variety of industry markets
• Core strength in either data engineering or data science technologies
• 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
• 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 6+ years of experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Coding experience in Python, R, Java, Apache Spark or Scala

About Databricks

Databricks is the data and AI company. More than 10,000 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.

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.

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Location: Dublin, Ireland

Department: R&D

Job Description:

Intercom is seeking a Senior Data Engineering Manager to lead the design and evolution of the core infrastructure that powers our entire data ecosystem. As a leader, you will partner with product and business teams to drive key data initiatives and ensure the success of our data engineering team.

Responsibilities:

• Next-Gen Platform Evolution: Partner with product and business teams to design and implement the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.

• Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build self-service tooling and infrastructure that enables them to move fast and deploy safely.

• Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment.

• Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.

Strategic Impact You'll Drive:

• GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business-focused internal software.

• Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible.

• Platform & Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure to ensure it can scale exponentially for future growth and advanced use cases.

Recent Wins You'll Build Upon:

• AI-assisted Local Analytics Development Environment for Airflow and DBT.

• Data-rich AI apps containerized on Snowflake SPCS.

• A new, modern data catalog solution.

• Migrating critical MySQL ingestion pipelines from Aurora to PlanetScale.

Who You Are:

• A leader, a builder, and a problem-solver who thrives on solving real-world business problems.

• 7+ years of experience in the data space, leading teams of 6+ engineers.

• Stakeholder focus: ability to communicate complex technical solutions to a business-focused audience and vice versa.

• Technical depth: not afraid to get hands dirty and write code when needed.

• A leader and mentor: naturally recognizes opportunities to step back and mentor others.

Bonus Points (Our Modern Stack Knowledge):

• Airflow at scale: extensive experience working with Apache Airflow, especially the nuances of operating it reliably in a high-volume environment.

• Modern data stack fluency: familiarity with tools like Snowflake and DBT.

• Future-focused: keeps a keen eye on industry trends and emerging technologies.

Benefits:

• Competitive salary and equity in a fast-growing start-up.

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.

• Regular compensation reviews - we reward great work!

• Pension scheme & match up to 4%.

• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.

• Open vacation policy and flexible holidays so you can take time off when you need it.

• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.

• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.

• MacBooks are our standard, but we also offer Windows for certain roles when needed.

Policies:

• Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home.

• We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.

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Key responsibilities include:

• Presenting a territory plan within the first 90 days
• Meeting with CIOs, IT executives, LOB executives, program managers, and other important partners
• Closing both new accounts and existing accounts
• Identifying and closing quick, small wins while managing longer, complex sales cycles
• Exceeding activity, pipeline, and revenue targets
• Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce

To succeed in this role, you will need to have 7+ years of experience in enterprise sales, with a proven track record of exceeding quotas and closing new accounts. You should also have a strong understanding of cloud technologies and be able to articulate intricate concepts simply.

In addition to your technical skills, you will need to be a strong communicator and be able to build relationships with key decision-makers. You should also be comfortable working in a fast-paced environment and be able to adapt to changing priorities.

If you are a motivated and results-driven sales professional who is looking for a new challenge, we encourage you to apply for this role.

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You will love understanding a product in depth and be passionate about communicating its value to Customers and System Integrators. You will always be looking for new opportunities and be asked to grow within existing accounts.

Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

Your impact will be:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

We look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 7+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

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 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. Based on the factors above, Databricks anticipated 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 1 Pay Range $272,000-$374,000 USD Zone 2 Pay Range $272,000-$374,000 USD Zone 3 Pay Range $272,000-$374,000 USD Zone 4 Pay Range $272,000-$374,000 USD

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Your mission will be to grow one of our most strategic Defence customers. Experience selling to this sector is essential, as is experience in running large complex multi-national accounts.

As an Enterprise Account Executive at Databricks, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers.

The impact you will have:

• Co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals
• Lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform
• Implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement
• Develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions

What we look for:

• Experience developing strong relationships with large Defence Enterprises global accounts, managing virtual teams, and leading complex sales campaigns in major Defence accounts is essential
• You will have experience working in Big Data, Cloud, or SaaS industries
• Proof of exceeding sales quotas in high-growth Enterprise software companies
• You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams
• You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
• You will have experience co-developing business cases and gaining support from C-level Executives
• You will have experience of value-based selling
• Eligibility for SC clearance (existing clearances held would be an advantage)

About Databricks:

Databricks is the data and AI company. More than 10,000 organisations 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.

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.

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This includes ensuring that platform admins have intuitive controls for managing access and compliance, maintaining a secure and trustworthy environment for their data and AI operations, and providing clear, actionable insights into platform health and usage.

The impact you will have:

• Help design best-in-class monitoring and governance experiences at scale.
• Design unique interactions that will help administrators understand vast amounts of telemetry data.
• Explore new ways in which Generative AI can enhance the platform experience and developer workflows.
• Develop a deep understanding of Databricks business objectives, the cloud and big data space, its users, and competition.
• Conduct user research to identify customer needs and pain points related to data science and platform usage.

We are looking for a Senior Product Designer with 5+ years of experience in product design work, a bachelor's degree or equivalent, and a strong portfolio showcasing the end-to-end design process.

Key responsibilities include leading large and complex design projects, balancing the needs of diverse stakeholders, and executing beautiful visual and interaction work that's rooted in a data-driven and well-researched UX process.

Nice-to-have skills include experience in data visualization, analytics dashboards, or designing interfaces for complex data monitoring, as well as coding skills in React, SQL, CSS, and/or Python.

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Key responsibilities include:

• Growing a team of Partner Solutions Architects for a company in high-growth mode
• Ensuring partners have a comprehensive technical point of view to establish the lakehouse architecture across a wide array of their customers
• Identifying valuable business-impacting offers and guiding the adoption of the Databricks platform into partner solutions
• Establishing partners as trusted advisors by having strong capability and Databricks practices
• Building a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values

Requirements include:

• 8+ years experience in senior pre-sales or post-sales roles, where you have assisted in the development of a successful team of professionals in Big Data, Cloud, or SaaS
• Player/Coach capability, comfortable both leading or contributing to work on projects, with partners on our joint customers
• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
• Great at instituting processes for technical field members to promote efficiency
• Bachelor's Degree in STEM subject, or MSc desirable
• Technical background either in Data Engineering / Database technologies or Data Science

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You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with public cloud - AWS, Azure, and GCP.

SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform.

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 cloud deployments, security, networking, or more.

Responsibilities:

• Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment

• Architect production-level deployments, including meeting necessary security and networking requirements

• Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management

• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content and custom architectures

• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)

• Contribute to the Databricks Community

Requirements:

• 5+ years of experience in a technical role with expertise in at least one of the following:

• Cloud Platforms & Architecture: Cloud Native Architecture in CSPs such as AWS, Azure, and GCP, Serverless Architecture

• Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance

• Networking: Architecture design, implementation, and performance

• Identify management: Provisioning, SCIM, OAuth, SAML, Federation

• Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, audit, cost management

• Infrastructure Automation and InfraOps with IaC tools like Terraform

• Maintain and extend the Databricks environment to adapt to evolving complex needs.

• Deep Specialty Expertise in at least one of the following areas:

• Security - understanding how to secure data platforms and manage identities

• Complex deployments

• Public Cloud experience - experience designing data platforms on cloud infrastructure and services, such as AWS, Azure, or GCP, using best practices in cloud security and networking.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.

• Hands-on experience with Python, Java, or Scala, and proficiency in SQL, and Terraform experience are desirable.

• 2 years of professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures

• 2 years of customer-facing experience in a pre-sales or post-sales role

• Can meet expectations for technical training and role-specific outcomes within 6 months of hire

• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.

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.

Zone 2 Pay Range $264,000-$363,000 USD

Zone 3 Pay Range $264,000-$363,000 USD

Zone 4 Pay Range $264,000-$363,000 USD

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Key responsibilities include:

• Hiring, training, growing, and managing a team of Solutions Architects
• Making customers in the Consumer Goods segment successful with Databricks and providing outsized value to their businesses
• Maintaining a robust hiring pipeline at all times
• Establishing relationships across the business to make customers and team successful
• Partnering with sales leadership to hit sales and consumption targets

The ideal candidate will have 7+ years of professional experience in the data space with a technical product, 3+ years of experience in the field, architecting and delivering data-driven solutions for major accounts within the Retail, Consumer Products, Travel & Hospitality vertical, and a deep familiarity with the buy-side and supply-side ecosystem.

In addition, the candidate should have demonstrated expertise with data collaboration ecosystem, 3+ years of experience building and leading technical pre-sales teams, a deep technical understanding of the impact that Data + AI can drive within the Retail industry, and trusted advisor to technical executives who guide strategic data infrastructure decisions.

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This is an exciting Sales role that will make an important impact on the revenue and expansion of our business in APJ.

Key responsibilities include:

• Evangelizing Databricks' Unified Analytics Platform powered by Spark and launching the Databricks brand in Enterprise Accounts across all industries
• Prospecting, identifying and sourcing new sales opportunities, building pipeline individually and with the Databricks SDR team
• Engaging with business and technical decision makers and leading them through the evaluation and buying process
• Exceeding individual activity, pipeline and annual revenue targets
• Engaging with and driving business through local partners (technology partners, ISVs, SIs and GSIs)
• Driving customer success and upsell in existing customers
• Creating a Territory Strategy

We are looking for a proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology.

Key requirements include:

• Demonstrable experience of selling within major Singapore enterprise accounts
• Solution and business-outcomes focused sales approach
• Ability to simply articulate intricate cloud & big data technologies and their business value for the customer
• Proven success and upward trajectory in whatever you have done
• Bachelor's Degree and 7+ years of experience selling SaaS solutions to Enterprise Customers

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Key Responsibilities:

• Present a territory plan within the first 90 days
• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and apply appropriate resources

Requirements:

• 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Bachelors Degree and 5+ years of experience selling SaaS solutions to Enterprise Customers in Philippines

Benefits:

• Comprehensive benefits and perks that meet the needs of all of our employees

Commitment to Diversity and Inclusion:

• Databricks is 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

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You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.

This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.

Responsibilities:

• Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.

• Adapt the SA team's skills and engagement model to match the needs of Digital native customers

• Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle

• Travel to customer sites for executive sessions, technical workshops, and building relationships

• Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team

• Stay current with emerging Data and AI trends in the digital native tech sector

What we look for:

• 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)

• 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment

• A history of building a territory, growing strategic accounts, and exceeding targets

• Inspiring a team vision about the unique nature of the digital natives business

• A history of execution by managing workloads and consumption with sales, product, and engineering counterparts

• Experience owning executive alignment in accounts that guide strategic decisions

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 $172,500-$237,150 USD

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You will lean upon your solid background in value selling, technical account management and technical leadership to maximise success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Healthcare & Life Sciences (HLS) space.

The impact you will have:

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy.
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You provide structured mentorship for other team members.
• Gain the respect of your peers based on your experience, insight, and contributions.

What we look for:

• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud.
• An ability in data-driven business transformation, and driving change with data.
• Programming experience in Python, SQL or Scala.
• Can travel up to 35% when needed.
• Bachelor Degree in computer science or related field.

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We're looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

Key responsibilities include:

• Building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)
• Using data-driven methods and leveraging the unique properties of our data to improve candidate retrieval
• Working in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems

Requirements:

• 2+ years of industry experience applying machine learning methods
• Degree in computer science, statistics, or related field; or equivalent experience
• End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies
• Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems

Nice to have:

• M.S. or PhD in Machine Learning or related areas
• Publications at top ML conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
• Expertise in scalable real-time systems that process stream data
• Passion for applied ML and the Pinterest product
• Background in computational advertising

Relocation Statement:

This position is not eligible for relocation assistance.

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The impact you'll have:

• Drive territory growth by developing and executing high-impact strategies to consistently exceed revenue and consumption targets.
• Establish yourself as a trusted advisor to C-level stakeholders, aligning Databricks' Data and AI capabilities with their core business objectives.
• Proactively identify and scale high-value use cases to accelerate platform consumption and portfolio growth.
• Mobilise and lead internal expert teams to maximise Databricks' footprint and impact across your account ecosystem.
• Deliver exceptional business value throughout the customer journey to secure successful, high-stakes negotiations.
• Navigate the French Manufacturing landscape to convert complex technical requirements into long-term strategic partnerships.

What we look for:

• Proven track record of selling Data & AI, Big Data, or complex cloud-based solutions to large enterprise organisations.
• Successful history of meeting and exceeding sales quotas and KPIs within the French Manufacturing sector.
• Expertise in navigating complex software deals, specifically those involving multiple stakeholders and high-value contracts.
• Deep understanding of consumption-based 'land and expand' sales models, focusing on driving long-term platform adoption.
• Evidence of creating market demand that delivers substantial, measurable business value to the client.
• Mastery of robust sales methodologies (e.g., MEDDPICC, Value Selling, Command of the Message) and accurate forecasting.
• Skill in building effective 'Champions' and leading collaborative internal teams to execute a winning territory plan.
• Strategic partner management, with experience developing and leveraging a partner ecosystem to drive mutual success.
• Ability to identify critical use cases and buying centres within manufacturing to increase the impact of Databricks.
• Willing and able to travel to customer sites, industry and company events - in region and Internationally.
• Full professional fluency in both French and English is essential.

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The impact you will have:

• You will work on a variety of impactful customer technical big data projects which may include building reference architectures, how-to's, and production-grade MVPs.
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build, and deployment of industry-leading big data and AI applications.
• Consult on architecture and design; bootstrap or implement strategic customer projects which lead to a customer's successful understanding, evaluation, and adoption of Databricks.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.

What we look for:

• 10+ years of experience with Big Data Technologies such as Apache Spark, Kafka, Cloud Native, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role.
• 4+ years of people management experience, managing a team of Data Engineers, Data Architects, etc.
• 6+ years of experience working on Big Data Architectures independently.
• Experience working across Cloud Platforms (GCP/AWS/Azure).
• Experience working on Databricks platform is a plus.
• Documentation and white-boarding skills.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Willingness to travel for onsite customer engagements within India.

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You will present a territory plan within the first 90 days, meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners, and close both new accounts and existing accounts.

To succeed in this role, you will need to have previously worked in an early-stage company and have experience in field sales within big data, Cloud, and SaaS sales.

You will also need to have prior customer relationships with CIOs, program managers, and essential decision-makers, and be able to simply articulate intricate cloud technologies.

The pay range for this role is $220,100-$302,600 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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Key responsibilities include:

• Closing new customers and growing consumption
• Communicating account strategy to Databricks Senior Leadership on a regular basis
• Allocating Databricks resources to break into new accounts
• Meeting with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes
• Exceeding activity, pipeline, and revenue targets

To succeed in this role, you will need to have a passion for selling a highly technical product in the cloud, as well as 4+ years of experience with Open Source Technologies and build vs buy decision-making.

In addition, you will need to have a creative salesperson with a well-defined prospecting motion, sales experience within big data, Cloud, or SaaS sales, and proven years of experience exceeding sales quotas.

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, please 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.

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Impact you will have:

• Build and manage a team of Technical Solution Engineers
• Provide coaching and mentorship to the engineers
• Identify and implement process improvements to meet or exceed regional performance KPIs.
• Establish training plans and subject matter expertise within the team.
• Drive support escalations and establish cross-functional collaboration to manage and resolve issues.
• Be a player-coach and provide technical leadership to the regional support team.
• Coordinate with Sales and field teams to address account-level concerns and drive adoption and usage of the Databricks platform.
• Define quarterly goals and track them to completion to drive team growth and personal development.
• Scale the organisation by developing processes and guidelines that promote operational efficiency
• Demonstrate a true sense of ownership and coordinate action items with engineering and escalation teams to achieve timely resolution of customer issues.
• Perform risk assessments and be a hands-on leader

What we are looking for:

• Minimum 15 years of experience in the Tech Industry
• SaaS Support, building, testing, and maintaining
• Minimum 6+ years of managerial experience, leading a team of at least 6+ technical support engineers
• Proven experience working with cloud native applications/SaaS (AWS, Azure, GCP), big data platforms, or Apache Spark™ in a technical capacity
• Demonstrated experience in a customer-facing role managing a large regional team of technical support engineers.
• Excellent analytical and troubleshooting skills.
• Excellent customer facing, verbal and written communication skills
• A team-oriented attitude and a high degree of comfort working in a startup environment
• Hands-on experience in systems troubleshooting, networking, and Linux fundamentals, JVM troubleshooting, debugging of Java applications is preferred

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.

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You will prospect for new customers, assess your existing customers and develop a strategy to identify and engage all buying centres.

You will use a solution approach to selling and creating value for customers, identify the most viable use cases in each account to maximise Databricks' impact, and orchestrate and work with teams to maximise the impact of the Databrick ecosystem on your territory.

You will build value with all engagements to promote successful negotiations and close, promote the Databricks enterprise cloud data platform, and be customer-focused by delivering technical and business results using the Databricks Platform.

What we look for:

• Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology

• Solution and business-outcomes focused sales approach

• Ability to simply articulate intricate cloud & big data technologies and their business value for the customer

• Proven success and upward trajectory in whatever you have done

• Bachelor's Degree and 5+ years of experience selling SaaS solutions to Enterprise Customers

• Business proficiency in Mandarin and experience in the Greater China Region is required to enable effective collaboration and understanding of client needs.

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Your responsibilities will include building relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. You will drive value-based growth within the account, expand the Databricks footprint into new business units and use cases, and exceed activity, pipeline, and revenue targets.

To succeed in this role, you will need to have previously excelled in an early-stage company, have previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion, and have prior customer relationships with CIOs, program managers, and essential decision makers at local accounts.

The pay range for this role is $272,000-$374,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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Some example projects include: Apache Spark: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.

We look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

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.

Local Pay Range $166,000-$225,000 USD

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Your responsibilities will include presenting a territory plan within the first 90 days, meeting with CIOs, IT executives, LOB executives, program managers, and other important partners, closing both new accounts and existing accounts, identifying and closing quick, small wins while managing longer, complex sales cycles, exceeding activity, pipeline, and revenue targets, tracking all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce, using a solution-based approach to selling and creating value for customers, promoting Databricks' enterprise cloud data platform powered by Apache Spark, ensuring 100% satisfaction among all customers, prioritising opportunities and applying appropriate resources, and building a plan for success internally at Databricks and externally with your accounts.

To be successful in this role, you will need to have field sales experience within big data, Cloud, and SaaS sales, covering the Greater China territory, prior customer relationships with CIOs, program managers, and essential decision makers, the ability to simply articulate intricate cloud technologies, 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries, success in closing new accounts while working on existing accounts, understanding of Spark and big data, business proficiency in Mandarin, and experience in the GCR territory.

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You’ll play a key leadership role at the intersection of technology and business,guiding your team to design impactful solutions and drive growth through collaboration and innovation.

You’ll empower your team to communicate complex ideas with clarity, support strategic enterprise customer engagements, and build lasting partnerships with clients and internal stakeholders.

The impact you will have:

• Lead, mentor, and support a high-performing, inclusive pre-sales team

• Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity.

• Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions.

• Establish best practices that improve team efficiency, collaboration, and business impact.

• Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey.

• Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience.

• Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture.

What we’re looking for:

You do not need to fulfill every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.

• Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments,or equivalent experience gained through hands-on engineering or consulting work.

• A track record of coaching and developing diverse, high-performing teams.

• Strong collaboration skills and the ability to partner effectively with Sales, Marketing, and other cross-functional leaders.

• Excellent communication and interpersonal skills

• Technical background in Data Engineering, Databases, or Data Science (consulting or customer-facing experience preferred).

• Enthusiasm for data, AI, and cloud technologies, and the ability to connect these to real business outcomes.

About Databricks:

Databricks is the data and AI company. More than 10,000 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.

To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

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You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.

Responsibilities:

• Be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

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As a full stack software engineer in Anduril Labs, you will help bring innovative, next-generation concepts to life through proof-of-concept development and rapid prototyping using bleeding edge technologies.

The ideal candidate has exceptional software development and creative problem-solving skills, is a self-starter, and can quickly grasp complex concepts.

As a full stack software engineer, you possess the skills to architect, develop, and deploy distributed applications and services, including both front-end and back-end components.

You have experience with agile, end-to-end software development lifecycle and are comfortable developing and deploying code across Windows and Linux-based systems (including standalone bare-metal hardware, virtualized environments, and cloud-hosted platforms).

Embedded software development experience is a plus.

You are also proficient in integrating legacy code and systems, leveraging open-source technologies, and developing and utilizing APIs.

Additionally, you have a solid understanding of AI/ML core concepts (e.g., feature extraction, supervised vs. unsupervised learning, regression, classification, clustering, deep learning neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on experience developing (Gen)AI-enhanced applications or services.

We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and experience with data modeling, data wrangling, analytics, and visualization.

Since Anduril Labs supports all Anduril businesses and product lines, you will have the unique opportunity to work closely with multi-disciplinary engineering and product development teams across the entire company.

This means you will get to directly contribute to the development of Anduril’s next-generation products and services.

So if you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

Key Responsibilities:

• Lead the development of prototypes to demonstrate advanced concepts in areas like autonomous and multi-agent systems, GenAI, advanced data analytics, quantum computing/sensing/networking/comms/machine learning, modeling, simulation, optimization, visualization, next-gen human-machine interfaces, heterogenous computing, and cybersecurity.

• Own the entire Software Development Lifecycle from inception through development, testing, deployment, and documentation for Anduril Labs-developed software prototypes.

• Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.

• Support Anduril- and customer-funded R&D efforts.

• Participate in field experiments and technology demonstrations.

Requirements:

• 3+ years of programming with Python, C++, Java, Rust, Go, or JavaScript/TypeScript.

• Proven software architecture and design skills.

• Ability to quickly understand and navigate complex systems and established codebases.

• AI/ML development using commercial and open-source AI frameworks, models, and tools (e.g., Jupyter Notebook, PyTorch, TensorFlow, Scikit-learn, OpenAI, Claude, Gemini, Llama, LangChain, YOLO, AWS Sagemaker, Bedrock, Azure AI, RAG).

• Web app development (e.g., React, Angular, or Vue).

• Cloud development (e.g., AWS, Azure, or GCP).

• Data modeling and wrangling.

• Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory).

• Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB).

• API development and integration (e.g., REST, GraphQL).

• Containerization technologies (e.g., Docker, Kubernetes).

• Software development on Linux and Windows.

• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

• Experience with Git version control, build tools, and CI/CD pipelines.

• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.

• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.

• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.

• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

Preferred Qualifications:

• BS in Computer Science, Engineering, or similar field.

• Distributed applications development (e.g., client/server, microservices, multi-agent solutions).

• High performance computing (HPC) and big data technologies (e.g., Apache Spark, Hadoop).

• Mobile app development (e.g., iOS or Android).

• Embedded software development experience.

• Willingness to travel up to approximately 10% US

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Key responsibilities include meeting with CIOs, IT executives, LOB executives, program managers, and other important partners. You will close both new accounts and existing accounts, identify and close quick, small wins while managing longer, complex sales cycles, exceed activity, pipeline, and revenue targets, and track all customer details in Salesforce.

You will use a solution-based approach to selling and creating value for customers, promote Databricks' enterprise cloud data platform powered by Apache Spark, ensure 100% satisfaction among all customers, and build a plan for success internally at Databricks and externally with your accounts.

We look for individuals with field sales experience within big data, Cloud, or SaaS sales, prior customer relationships with CIOs, program managers, and essential decision makers, and the ability to simply articulate intricate cloud technologies. A minimum of 7+ years of experience exceeding sales quotas is required, as well as understanding of Spark and big data, and French speaking skills.

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You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle.

In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes.

You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.

The impact you will have:

• Work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.

• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.

• Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.

• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.

• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:

• Big data engineering (Ex: Spark, Hadoop, Kafka)

• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)

• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)

• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.

• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.

• Fluent in SQL and database technology.

• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.

• Desired: Built solutions with public cloud providers such as AWS, Azure, or GCP

• Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

• Travel to customers in your region up to 30% of the time.

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This hire will be instrumental in signalling and forecasting accurate demand, planning inventory levels, and ensuring that Anduril supports its hardware requirements via Enterprise Resource Planning (ERP) software and other associated tools. The right person for this role has demonstrated ownership and experience solving complex operational challenges with creative solutions in a fast-paced, resource-limited environment.

Your responsibilities will include managing day-to-day demand signalling, ordering, and inventory for various product lines, identifying and resolving supply issues by collaborating with Engineering, Purchasing, and Manufacturing teams, leading Sales and Operations Planning (S&OP) discussions for Supply Planning on designated product lines, working with Business Development and Growth teams to align forecasts with actual demand plans, reporting on and analysing supply and material health to inform key decisions for Engineering, Purchasing, Manufacturing, and Business Development, developing and maintaining processes within MRP systems and associated master data, and driving strategic initiatives towards best practices, including demand shaping, advanced modelling, and inventory optimisation.

To be successful in this role, you will need a Bachelor's degree in a technical field or business field, and 6+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies. You will also need technical expertise, including the ability to read technical documentation and understand hardware manufacturing processes, experience with ERP systems such as Oracle, Netsuite, and CRM systems like Salesforce, and the ability to travel up to 10% of the time.

The salary range for this role is $129,000-$171,000 USD, and highly competitive equity grants are included in the majority of full-time offers. Additionally, Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, caregiver and wellness leave, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

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Key Responsibilities:

• Drive consumption by helping customers derive value from the platform
• Secure strategic committed deals by identifying, structuring, and closing opportunities
• Prospect and lead generation using various strategies and resources
• Engage with architects, professional services engagement managers, and executive sponsors to ensure a comprehensive approach to customer success

Requirements:

• Proven track record in sales
• Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology
• Strong prospecting, lead generation, and customer engagement skills
• Ability to drive consumption and secure first-time commits
• Collaboration and technical acumen

What We Offer:

• Comprehensive benefits and perks
• Opportunities for professional growth and development
• A dynamic and inclusive work environment

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The impact you will have:

• Form successful relationships with clients in Taiwan, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Apache Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Proficiency in Mandarin is required as this role serves clients based in Taiwan and involves direct customer communications in Mandarin

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Reporting to the Director of Enterprise Sales, you will be responsible for driving strategic growth and expanding our footprint across the region's most critical enterprise accounts.

Key responsibilities include:

• Assessing assigned accounts and developing strategies to execute against them
• Building a customer base by identifying and closing new logo opportunities
• Leading customers and partners to identify impactful big data and AI use cases while proving out their value on the Databricks Lakehouse platform
• Identifying land opportunities and developing expand/consumption use cases
• Orchestrating and utilising internal teams to maximise the impact on your ecosystem

What we look for:

• 5+ years of experience selling SaaS solutions to Enterprise Customers
• Extensive experience and strong performance in new logo hunting
• Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience
• Successful experience selling complex software deals and quota over-achievement
• Understanding of consumption-based land and expand sales models is advantageous
• Knowledge of the Data & AI space with some technology sales experience
• Evidence of creating demand that delivered substantial business value
• Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
• Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan
• Understanding of how to identify all key use cases and buying centres in an opportunity to increase the impact of Databricks in an organisation

Fluent French and business English required.

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Key responsibilities include:

• Leading virtual teams to success within the account
• Establishing relationships with executives and influencers
• Presenting a convincing point-of-view to important decision-makers
• Implementing the technical strategy in the account
• Building a movement of technical champions within the account

Requirements include:

• Proficiency in establishing virtual teams and leading them to success
• Experience working with large, global accounts
• Ability to present a convincing point-of-view to important decision-makers
• Technical expertise in big data, data science, and cloud
• Experience with programming languages such as Python, SQL, or Scala

Benefits include:

• Competitive salary range of $180,000-$247,500 USD
• Eligibility for annual performance bonus
• Equity
• Comprehensive benefits and perks

At Databricks, we strive to provide 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.

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We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

As a Solutions Architect in the UAE Pre-Sales team, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges.

You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Create impactful and successful relationships with customer accounts in the United Arab Emirates, providing technical and business value to Databricks customers in collaboration with the extended team.

• Become the trusted advisor of your customer on the Data and AI landscape by successfully driving and delivering the adoption of the Databricks Data Intelligence Platform.

• Enabling Partners and support internal events in the MEA region.

• Scale best practices in your field by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.

• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Experienced in customer interactions in a technical pre-sales capacity and adept in managing complex sales lifecycles.

• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.

• Ability to provide technical solutions for specialised customer needs, navigate a competitive landscape and effectively develop relationships to achieve long-term customer success.

• Hands-on expertise with complex Big Data architecture design for public cloud platform(s) solutions, focusing on use cases in Data Warehousing and Data Engineering architecture and implementation.

Data Science and Machine Learning skills will be advantageous.

• Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™.

• Experience and skills on the Databricks platform will be highly advantageous for the role!

• Excellent communication skills in English required as a minimum. Fluency in Arabic will be highly preferable for the position.

Key Notes:

• Location for the role will be in Paris (i.e. within a commutable distance for a hybrid schedule).

• You will need to be flexible and willing to travel to the United Arab Emirates for customer visits on a regular basis (i.e. up to ~2 weeks per month).

• We are seeking a candidate that will be interested in a future relocation to the region (Dubai) when an office is opened.

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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 software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Below are some example projects:

• Apache Spark: Develop the de facto open source standard framework for big data.
• Data Plane Storage: Deliver reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming.
• Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines.
• Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning-free, scalable, and robust.

What we look for:

• BS in Computer Science, related technical field or equivalent practical experience.
• Optional: MS or PhD in databases, distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Driven by delivering customer value and impact.
• 8+ years of production-level experience in either Java, Scala, or C++.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

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.

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The impact you will have:

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks, developing into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

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Your responsibilities will include:

• Forming successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operating as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scaling best practices in your field and supporting customers by authoring reference architectures, how-tos, and demo applications, and helping build the Databricks community in your region by leading workshops, seminars, and meet-ups.

We're looking for someone with prior experience in technical sales, customer relationship development, and a strong understanding of big data analytics technologies. You should be proficient in coding in a core programming language (such as Python, Java, or Scala) and willing to learn a base level of Spark.

As a Solutions Architect at Databricks, you will have the opportunity to grow your knowledge and expertise to the level of a technical and/or industry specialist, and contribute to the success of our customers and the growth of our company.

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As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Some example projects include:

• Developing the de facto open source standard framework for big data, Apache Spark.
• Providing reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, such as AWS S3 and Azure Blob Store.
• Building the next generation query optimizer and execution engine that's fast, tuning-free, scalable, and robust.

We look for candidates with a strong foundation in algorithms and data structures and their real-world use cases, experience with distributed systems, databases, and big data systems, and a BS (or higher) in Computer Science or a related technical field.

The pay range for this role is $166,000-$225,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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Key responsibilities include:

• Meeting with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Closing both new accounts and existing accounts
• Identifying and closing quick, small wins while managing longer, complex sales cycles
• Exceeding activity, pipeline, and revenue targets
• Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Using a solution-based approach to selling and creating value for customers
• Promoting Databricks' enterprise cloud data platform powered by Apache Spark
• Ensuring 100% satisfaction among all customers
• Prioritizing opportunities and applying appropriate resources
• Building a plan for success internally at Databricks and externally with your accounts

We are looking for someone with:

• Previous experience in an early-stage company and knowledge of how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Experience managing large, complex Manufacturing accounts is preferred
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Ability to simply articulate intricate cloud technologies
• 5+ years experience exceeding sales quotas
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

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Responsibilities:

• Provide support for standard and custom deployments
• Answer break/fix and non-break/fix technical questions through SFDC ticketing system
• Efficiently reproduce reported issues by leveraging tools (minikube, minitrino, docker-compose, etc.), identify root causes, and provide solutions
• Open SEP and Galaxy bug reports in Jira and feature requests in Aha!

LTS Upgrades:

• Provide upgrade support upon customer request
• Customer must be on a supported LTS version at the time of request
• TSE must communicate unsupported LTS requests to the Account team as these require PS services

Monthly Technical check-ins

• Conduct regularly scheduled technical check-ins with each BU
• Discuss open support tickets, provide updates on product bugs and provide best practice recommendations based on your observations and ticket trends

• Responsible for ensuring customer environments are on supported LTS versions

Knowledge Sharing/Technical Enablement:

• Knowledge exchange and continued technical enablement are crucial for the development of our team and the customer experience
• It's essential that we keep our product expertise and documentation current and that all team members have access to information

• Contribute to our reference documentation
• Lead peer training
• Consultant to our content teams
• Own your personal technical education journey

Project Involvement

• Contribute to or drive components of departmental and cross-functional initiatives

Partner with Leadership

• Identify areas of opportunity with potential solutions for inefficiencies or obstacles within the team and cross-functionally
• Provide feedback to your manager on continued ed. opportunities, project ideas, etc.

Requirements

• 5+ years of support experience
• 3+ years of Big Data, Docker, Kubernetes and cloud technologies experience
• Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events

Skills

• Big Data (Hadoop, Data Lakes, Spark)
• Docker and Kubernetes
• Cloud technologies (AWS, Azure, GCP)
• Security - Authentication (LDAP, OAuth2.0) and Authorization technologies
• SSL/TLS
• Linux Skills
• DBMS Concepts/SQL Exposure Languages: SQL, Java, Python, Bash

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The right person for this role has demonstrated ownership and experience solving complex operational challenges with creative solutions in a fast-paced, resource-limited environment. This person will be flexible to provide support wherever needed to ensure products are built and shipped under stringent quality standards.

Responsibilities:

Manage day-to-day demand signalling, ordering, and inventory for various product lines.

Identify and resolve supply issues by collaborating with Engineering, Purchasing, and Manufacturing teams.

Lead Sales and Operations Planning (S&OP) discussions for Supply Planning on designated product lines.

Work with Business Development and Growth teams to align forecasts with actual demand plans.

Report on and analyse supply and material health to inform key decisions for Engineering, Purchasing, Manufacturing, and Business Development.

Develop and maintain processes within MRP systems and associated master data.

Drive strategic initiatives towards best practices, including demand shaping, advanced modelling, and inventory optimisation.

Required Qualifications:

Bachelor's degree in a technical field (i.e. manufacturing, engineering, analytics, computer science, etc.) or business field (i.e. finance, economics, supply chain management, business administration, marketing, etc.).

6+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies.

Complete ownership of a complex value chain, coordinating between multiple internal and internal parties to ensure on-time deliveries and adherence to quality standards.

Technical expertise including ability to read technical documentation and understanding hardware manufacturing processes.

Experience with ERP systems such as Oracle, Netsuite, and CRM systems like Salesforce.

Ability to travel up to 10% of the time.

Ability to relocate, if not already local to be onsite in Costa Mesa, CA.

Preferred Qualifications:

Master's degree or other higher education.

8+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies.

Strong experience with SQL databases, including building custom queries for production and inventory metrics.

Proficiency in data analysis and reporting tools such as Tableau, Power BI, or Qlikview.

Knowledge of supply chain planning systems like Blue Yonder and best practices in demand planning, inventory management, and S&OP.

Experience with lean manufacturing, continuous improvement, six sigma principles, and big data evaluation techniques.

Proactive, able to take substantial responsibility across various functions, with a focus on speed and accuracy.

Ability to obtain and maintain a U.S. TS clearance.

Salary: The salary range for this role is $129,000-$171,000 USD.

Benefits:

Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.

UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.

IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.

Additional Benefits - Income Protection: Anduril covers life and disability insurance for all employees.

Generous time off: Highly competitive PTO plans with a holiday hiatus in December.

Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.

Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.

Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.

Additional work-life services, such as legal and financial support, are also available.

Professional Development: Annual reimbursement for professional development - Commuter Benefits: Company-funded commuter benefits based on your region.

Relocation Assistance: Available depending on role eligibility.

Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.

UK & IE Roles: Pension plan with employer match.

AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams:

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates.

We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers.

These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process.

Please always verify communications:

Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency.

If you suspect any suspicious activity, please verify the agency's authenticity by reaching out

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Key responsibilities include:

• Leading technical teams to implement the technical strategy in the account
• Building a movement of technical champions within the account
• Aligning technical strategies around Databricks solutions
• Providing structured mentorship for other team members

The ideal candidate will have a solid background in value selling, technical account management, and technical leadership. They will also have experience working with large, global accounts and a strong understanding of big data, data science, and cloud technologies.

Competencies:

• Proficiency at establishing virtual teams and leading them to ultimate success within the account
• Experience working with large, global accounts
• Forming relationships with executives and influencers
• Presenting a convincing point-of-view to important decision-makers
• Technical expertise in big data, data science, and cloud

Nice to have:

• Databricks Certification

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $180,000-$247,500 USD per year, depending on location and experience.

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Your primary responsibilities will include:

• Building strong relationships with clients across your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.

• Operating as an expert in big data analytics to excite customers about Databricks and develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation.

• Scaling best practices in your field and supporting customers by authoring reference architectures, how-tos, and demo applications, and helping build the Databricks community in your region by leading workshops, seminars, and meet-ups.

• Growing your knowledge and expertise to the level of a technical and/or industry specialist.

We're looking for someone with prior experience in technical sales, customer relationship development, and a strong understanding of big data analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platforms.

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You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products.

They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem.

You will report to the Senior Manager of Technical Solutions.

Responsibilities:

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

Requirements:

• 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications
• Expert level knowledge in python is desired
• Strong experience with SQL-based database is required
• Linux/Unix administration skills
• Hands-on experience with AWS, Azure or GCP
• Experience with "Distributed Big Data Computing" environment
• Technical degree or the equivalent experience
• Proficiency in Mandarin and English is a must as this role serves clients based in the Greater China Region and involves direct customer communications in Mandarin

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You will design, build, and maintain detections that identify malicious activity across Stripe's infrastructure, applications, and cloud environments.

Responsibilities

• Design, build, and tune high-fidelity detections across modern SIEM platforms, covering adversary TTPs across the full attack lifecycle
• Develop detection hypotheses by researching TTPs, identifying evidence sources, and determining detection opportunities across available telemetry
• Conduct hypothesis-driven threat hunts to identify malicious activity, uncover detection gaps, and validate security controls
• Perform malware analysis and reverse engineering to extract indicators and inform detection strategies
• Build network-based detections (flow, pcap, protocol analysis) and endpoint-based detections (event logs, EDR telemetry, memory/file artifacts) across Windows, Linux, and macOS
• Partner with Threat Intelligence to operationalize intel reports into detections, hunting leads, and enrichment logic
• Collaborate with IR, SOC, and offensive security teams to validate and refine detections based on real-world incidents and red team exercises
• Build data pipelines, automation, and tooling that enable detection-as-code practices and scalable deployment
• Map detection coverage to MITRE ATT&CK, identifying and prioritizing gaps across key attack surfaces
• Lead projects, mentor teammates, and champion quality standards within the team

Requirements

• 5+ years of experience in detection engineering, threat hunting, or security operations
• Demonstrated experience writing detection logic in modern SIEM platforms (e.g., Splunk, Chronicle, Elastic, CrowdStrike NG-SIEM, Panther, Microsoft Sentinel)
• Strong understanding of adversary tradecraft across the attack lifecycle: initial access, privilege escalation, lateral movement, defense evasion, persistence, and exfiltration
• Ability to extract TTPs from threat intelligence reports and translate them into detection opportunities
• Experience developing network-based and endpoint-based detections across multiple OS platforms (Windows, Linux, macOS)
• Experience analyzing telemetry across endpoint, network, cloud (AWS/GCP/Azure), identity, and application log sources
• Proficiency in detection/query languages (SPL, KQL, EQL, YARA-L, SQL) and programming (Python or similar)
• Strong communication skills with the ability to document detection logic and explain findings to technical and non-technical audiences
• Adversarial mindset , understanding how attackers operate to build detections that catch real-world threats

Preferred Qualifications

• Experience in detection engineering or threat hunting within fintech, financial services, or highly regulated environments
• Background in malware analysis, reverse engineering, or threat research
• Experience with purple team operations , collaborating with offensive security to validate detections
• Familiarity with big data platforms (Databricks, Trino, PySpark) for large-scale log analysis
• Proficiency with AI/LLM-assisted development tools (Claude Code, Cursor, GitHub Copilot) applied to detection workflows
• Interest in agentic automation , using LLMs to augment hunting, tuning, or triage
• Experience with detection validation tools (Atomic Red Team, ATT&CK Evaluations)
• Contributions to open-source detection content, research, or conference presentations
• Relevant certifications such as HTB CDSA, GCIH, GCFA, GNFA, OSCP, TCM PMAT, or GREM

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The impact you will have:

• Form successful relationships with clients throughout Indonesia, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Proficiency in the Bahasa Indonesian language is required as this role serves clients based in Indonesia and involves direct customer communications in the Bahasa Indonesian language.

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Responsibilities:

• Provide support for standard and custom deployments
• Answer break/fix and non-break/fix technical questions through SFDC ticketing system
• Efficiently reproduce reported issues by leveraging tools (minikube, minitrino, docker-compose, etc.), identify root causes, and provide solutions
• Open SEP and Galaxy bug reports in Jira and feature requests in Aha!

LTS Upgrades:

• Provide upgrade support upon customer request
• Customer must be on a supported LTS version at the time of request
• TSE must communicate unsupported LTS requests to the Account team as these require PS services

Monthly Technical check-ins

• Conduct regularly scheduled technical check-ins with each BU
• Discuss open support tickets, provide updates on product bugs and provide best practice recommendations based on your observations and ticket trends

Knowledge Sharing/Technical Enablement:

• Knowledge exchange and continued technical enablement are crucial for the development of our team and the customer experience
• It's essential that we keep our product expertise and documentation current and that all team members have access to information

• Contribute to our reference documentation
• Lead peer training
• Consultant to our content teams
• Own your personal technical education journey

Project Involvement

• Contribute to or drive components of departmental and cross functional initiatives

Partner with Leadership

• Identify areas of opportunity with potential solutions for inefficiencies or obstacles within the team and cross-functionally
• Provide feedback to your manager on continued ed. opportunities, project ideas, etc.

Requirements

• 5+ years of support experience
• 3+ years of Big Data, Docker, Kubernetes and cloud technologies experience
• Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events.

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Within Data Infra, you may be matched to critical business areas including:

• Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data.
• Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting.
• Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data.
• Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark.

You'll work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.

To be successful in this role, you'll need:

• 10+ years of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems.
• 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead.
• Deep experience with at least one of:
• Strong proficiency in programming languages like Python, Go, Java, or similar.
• Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS).
• Can navigate complex technical tradeoffs between performance, cost, security, and maintainability.
• Have excellent collaboration skills - you work well with both technical and non-technical stakeholders.

Strong candidates may also have:

• Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure.
• Experience with Kubernetes, containerization, and cloud-native architectures.
• Track record of improving data reliability, availability, or cost efficiency at scale.
• Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks.
• Experience working in fintech, financial services, or highly regulated environments.
• Security engineering background with focus on data protection and access controls.

Technologies We Use:

• Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran.
• Storage: GCS, S3.
• Infrastructure: Terraform, Kubernetes, GCP, AWS.
• Languages: Python, Go, SQL.

The annual compensation range for this role is $405,000-$485,000 USD.

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You will know how to sell innovation and change through customer vision expansion and guide deals forward to compress decision cycles.

You will love understanding a product in-depth and be passionate about communicating its value to customers and partners.

You will always be prospecting for new opportunities and 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.

Your impact will be to assess your accounts and develop a strategy to identify and engage all buying centers.

You will use a solution approach to selling and creating value for customers.

You will identify the most viable use cases in each account to maximize Databricks' impact.

You will orchestrate and work with teams to maximize the impact on your ecosystem.

You will build value with all engagements to promote successful negotiations to close point.

You will promote Databricks' enterprise cloud data platform powered by Apache Spark.

You will be customer-focused by delivering technical and business results using the Databricks Platform.

You will promote teamwork...it makes the dream work!

We look for someone who has previously worked in an early-stage company and knows how to navigate and be successful in a fast-growing organization.

You will have sales experience within big data, Cloud, or SaaS sales.

You will have prior customer relationships with CIOs and important decision-makers.

You will simply articulate intricate cloud technologies and big data.

You will have experience exceeding sales quotas.

You will have success closing new accounts while upselling existing accounts.

You will have 2+ years of full-cycle closing sales experience in SaaS/PaaS companies.

You will have a Bachelor's Degree.

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Your responsibilities will include meeting with CIOs, IT executives, LOB executives, Program Managers, and other important partners, closing both new accounts and existing accounts, identifying and closing quick, small wins while managing longer, complex sales cycles, exceeding activity, pipeline, and revenue targets, tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce, using a solution-based approach to selling and creating value for customers, promoting Databricks' enterprise cloud data platform powered by Apache Spark, ensuring 100% satisfaction among all customers, prioritizing opportunities and applying appropriate resources, and building a plan for success internally at Databricks and externally with your accounts.

We look for individuals who have previously worked in an early stage company and know how to navigate and be successful, have field sales experience within big data, Cloud, or SaaS sales, have experience managing large, complex Manufacturing accounts, have prior customer relationships with CIOs, program managers, and essential decision makers, can simply articulate intricate cloud technologies, have 5+ years experience exceeding sales quotas, have success closing new accounts while working existing accounts, and have an understanding of Spark and big data.

The pay range for this role is $167,100-$229,800 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Some of the key responsibilities of this role include:

• Forming successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gaining excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contributing to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Becoming a Big Data Analytics advisor on aspects of architecture and design.
• Supporting your customers by authoring reference architectures, how-tos, and demo applications.

We're looking for someone with a strong aptitude and familiarity working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes. Experience in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth, is also essential.

Some of the key requirements for this role include:

• Strong knowledge of Big Data Analytics and experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms).
• Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s).
• Experience diving deeper into solution architecture and Data Engineering.
• Coding expertise in a core programming language (i.e., Python, Java, Scala).
• A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role.

This will be an office-based contract (Amsterdam), with a hybrid schedule. An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.

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Your responsibilities will include:

• Working with 1-5 clients as the main technical voice for Databricks
• Leading customers on a transformational journey to evaluate and adopt Databricks as part of their strategy
• Implementing the technical strategy in the account, in close understanding of the strategy
• Building a movement of technical champions within the account
• Aligning technical strategies around Databricks solutions
• Providing structured mentorship for other team members

To succeed in this role, you will need to be proficient in establishing virtual customer collaboration and leading them to ultimate success within the account. You should also have experience working with very large (> $1m ARR), global accounts and forming relationships with executives and influencers.

As a technical expert in big data, data science, and cloud, you will present a convincing point-of-view to important decision-makers that leads them down a path of success. You will also have an ability in data-driven business transformation and driving change with data.

Nice to have: Databricks Certification.

Benefits and perks are available to all employees, and Databricks is committed to fostering a diverse and inclusive culture where everyone can excel.

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Key responsibilities include:

• Developing and executing account strategies to penetrate new markets and expand existing ones
• Communicating account strategies to senior leadership on a regular basis
• Allocating Databricks resources to break into new accounts and grow existing ones
• Meeting with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes
• Exceeding activity, pipeline, and revenue targets

To succeed in this role, you will need to have a passion for selling a highly technical product in the cloud, experience selling to Digital Native customers in Japan, and a proven track record of exceeding sales quotas.

The ideal candidate will be a creative salesperson with a well-defined prospecting motion, sales experience within big data, Cloud, or SaaS sales, and a proven ability to close new accounts while working on existing ones.

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To be successful in this role, you will need a BS in Computer Science or equivalent practical experience in databases or distributed systems, comfort working towards a multi-year vision with incremental deliverables, motivation by delivering customer value and impact, and 5+ years of production-level experience in either Java, Scala, or C++. You should also have a solid foundation in algorithms and data structures and their real-world use cases, experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop), and a strong understanding of software engineering principles and practices.

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, please click here.

Our commitment to diversity and inclusion is a key part of our culture, and we take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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The ideal candidate will have a strong background in supply chain or production, with experience in a fast-paced manufacturing environment dealing with complex assemblies. They will also have technical expertise, including the ability to read technical documentation and understand hardware manufacturing processes. Additional preferred qualifications include experience with ERP systems, SQL databases, and data analysis and reporting tools.

This is a full-time role that requires the ability to travel up to 10% of the time. The salary range for this role is $98,000-$130,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

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Your key responsibilities will include:

• Managing support escalation in partnership with engineering, product management, Customer Success Engineering, Support, Customers, and Partners until resolution.
• Achieving customer satisfaction by ensuring incidents or escalations (and related cases) are well and fully documented with the timely execution of action items.
• Creating and executing a data-driven customer recovery plan for every escalation and incident that is addressed.
• Utilizing business and technical skills to manage customer escalations, coordinate meetings and deliverables, and analyze trends and patterns for reporting purposes.
• Using data, metrics, and feedback to inform operational and tactical decisions that improve incident and escalation management.
• Coordinating all necessary resources to fast-track and resolve new incidents and escalations from customers with a clear and detailed plan.

We are looking for a candidate with a minimum of 8+ years of experience in customer support, escalation, SRE, or incident management. You should have excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences.

You will also need experience with a 'Distributed big data Computing' environment, SQL-based databases, as well as data warehousing and ETL technologies such as Informatica, DataStage, Oracle, Teradata, SQL Server, and MySQL. Linux/Unix administration skills, networking, and Hands-on Cloud experience with AWS, Azure, or GCP are required.

Experience working cross-functionally with support, engineering, product management, and directly with customers; ability to deeply understand product and customer personas is also essential.

A Bachelor's or Master's degree in Computer Science or Computer Engineering, or related Engineering field is preferred. Written and spoken proficiency in both Japanese and English is also required.

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As a primary driver of "Industrie 4.0," this organisation is a cornerstone of the German economy, transforming how the world manufactures, moves, and heals. Dual-headquartered in Munich and Berlin, this powerhouse employs nearly 300,000 people across a vast multi-divisional ecosystem.

The impact you'll have:

• You will be part of the large account team for this flagship account, driving sustained growth across consumption, expansion, and new business.

• You will consistently exceed growth targets by translating account strategy into clear, measurable commercial outcomes and disciplined execution.

• You will operate as a trusted C-suite advisor, influencing executive decisions and shaping enterprise-wide Data & AI transformation initiatives.

• You will identify, prioritise, and scale high-value AI use cases to deliver measurable business outcomes.

• You will drive partner-led growth, working closely with system integrators and strategic partners to increase deal momentum and customer impact.

• You will lead complex, multi-stakeholder negotiations, closing transformational agreements that strengthen the strategic partnership.

What we look for:

• Proven success selling advanced data, analytics, Big Data, AI, or complex cloud technology, closing complex, multi-stakeholder, multi-year enterprise agreements.

• A proven record of exceeding ambitious revenue goals in large, global enterprise accounts within the Industrial/Manufacturing vertical in Germany.

• Deep understanding of consumption-based growth models and how to scale strategic accounts from initial wins.

• Proficiency in structured sales methodologies (e.g., MEDDPICC, Value Selling).

• A history of building champion networks and leading cross-functional account teams around a clear strategy.

• Candidates with a consulting background who combine a strong sales profile with deep Industrial vertical expertise are encouraged to apply.

• Readiness to travel regularly within Germany and internationally to stay closely aligned with the customer.

• Fluency in German and English, with the gravitas to influence senior leaders up to C-level.

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Key responsibilities include:

• Forming successful relationships with clients throughout your assigned territory to provide technical and business value.
• Gaining excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contributing to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Becoming a Big Data Analytics advisor on aspects of architecture and design.
• Supporting customers by authoring reference architectures, how-tos, and demo applications.

To succeed in this role, you should have a strong background in Big Data Analytics, with experience working with clients, creating narratives, and answering customer questions. You should also be able to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value.

We're looking for someone who is a good communicator, with excellent problem-solving skills and the ability to work well under pressure. If you're passionate about data and AI, and want to join a dynamic team, please apply!

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You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.

Your responsibilities will include:

• Forming successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gaining excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contributing to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Becoming a Big Data Analytics advisor on aspects of architecture and design.
• Supporting your customers by authoring reference architectures, how-tos, and demo applications.
• Developing both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

We look for individuals who are familiar with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. You should be able to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.

The ideal candidate will have knowledge of a core programming language such as Python, and be knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform. Experience diving deeper into solution architecture and Data Engineering is also desirable.

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Key responsibilities include:

• Building relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Driving value-based growth within the account.
• Expanding the Databricks footprint into new business units and use cases.
• Exceeding activity, pipeline, and revenue targets.
• Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Using a solution-based approach to selling and creating value for customers.
• Promoting Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake.
• Prioritizing opportunities and leveraging appropriate resources.
• Building a plan for success internally at Databricks and externally with your account.

We are looking for someone with 7+ years of Enterprise Sales experience exceeding quotas in larger accounts, managing a small set of enterprise accounts rather than a broad territory, and a Bachelor's Degree.

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You will love understanding a product in depth and be passionate about communicating its value to Customers and System Integrators. You will always be looking for new opportunities and be asked to grow within existing accounts.

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 partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 6+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

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 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. Based on the factors above, Databricks anticipated 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.

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You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.

Responsibilities:

Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure.

Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios.

Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams.

Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity.

Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks.

Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required.

Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage.

Build internal platforms and workflows that enable scalable, repeatable offensive operations.

Contribute to internal security tooling repositories and champion engineering best practices within the team.

Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices.

Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders.

Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives.

Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing.

Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community.

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Key Responsibilities:

• Drive the vision for the team, ensuring the team's work directly contributes to the company's goals
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users
• Provide visibility to senior leadership regarding the team's global impact
• Partner with stakeholders across the company to shape the future of the content ecosystem and personalization at Pinterest

Requirements:

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or equivalent experience
• Experience leading and working on a large-scale production recommendation, e-commerce, search, or ads systems that are based on state-of-the-art machine learning and big data technology
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
• Strong focus on product impact and user experience within a consumer-focused environment
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions

Nice to Have:

• Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

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The ideal candidate will have deep knowledge of current privacy and technology trends, with a strong passion for data governance/management and AI/ML. They will have demonstrated experience in ensuring privacy-by-design principles are applied throughout the design, construction, and operation of digital products and services at scale.

Responsibilities include leading high-impact initiatives and defining technical requirements for compliance and the responsible use of technology at Airbnb. The candidate will work closely with the Chief Privacy Officer, Legal, and other Privacy & Data Security Team members, as well as engineering and data science teams.

Key responsibilities include:

• Collaborating with technical teams in the identification and effective management of company-wide risks to privacy and the responsible use of technology
• Leading definition and implementation of company-wide standards, practices, and patterns to protect and manage personal data in accordance with privacy and AI regulations
• Working with Legal, Data Science, Data Governance, and InfoSec to introduce Privacy by Design principles in company products and infrastructure
• Creating privacy training for technical roles, including data engineers, developers, and data scientists

Requirements include:

• 15+ years of total experience, with 5+ years of experience in technical program/project management or privacy engineering focused on building technology products and/or systems
• Deep understanding of large-scale, “Big Data” data stores and technologies
• Strong familiarity with the AI/ML development lifecycle: from data collection and curation, through model architecture selection, training, testing, A/B testing, and deployment
• Solid understanding of Large Language Models (LLMs), Generative AI and AI Agents, including compliance and responsible use challenges arising from their deployment in B2C services
• Strong familiarity with Privacy Enhancing Technologies (PETs), such as various types of encryption, de-identification methods (e.g., k-anonymity, differential privacy), and AI/ML interpretability techniques (e.g., SHAP, LIME)

Preferred qualifications include:

• Professional certifications such as Certified Information Privacy Professional (CIPP), Certified Information Privacy Manager (CIPM), or AI Governance Professional (AIGP) or equivalent
• BA/BS and/or advanced degree in engineering, computer science, mathematics, statistics, physics, or a related field
• Experience with programming languages and tools commonly used in AI, such as R, Python and Github

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

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Key Requirements:

• 6+ years of experience in field sales, preferably in big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Ability to simply articulate intricate cloud technologies
• Greenfield + Hunter Sales Experience
• Expertise with financial services institutions preferable
• Understanding of Spark and big data preferable
• Passion for cloud technologies

In addition to a competitive salary, you will also be eligible for annual performance bonus, equity, and comprehensive benefits and perks.

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Your mission is high-stakes: you will own and scale one of our most significant Strategic Scaleups (Digital Natives) in the region. This isn't just a sales role; it is a partnership with a global unicorn that has transitioned into a massive enterprise. You will guide them through the next frontier of AI transformation.

The Impact You Will Have

• Architect the Strategy: Co-author a multi-year business plan with your team and ecosystem partners to exceed quarterly booking goals and accelerate customer usage.
• Master the Use Case: Lead a 'Special Forces' team of technical experts and partners to identify high-impact Big Data and AI use cases, proving the undeniable value of the Databricks Platform.
• Drive Transformation: Execute your customer's AI roadmap through a blend of strategic partnerships, expert professional services, and high-level Executive Engagement.
• Build Technical Trust: Develop a deep understanding of our product roadmap to become a trusted advisor to both C-level visionaries and technical champions.

What We Look For

• The 'Unicorn' Expert: Proven experience building deep, influential relationships with large, global 'mature unicorns.' You understand the high-velocity, high-complexity culture of Digital Natives.
• Industry Pedigree: Deep roots in the Big Data, Cloud, or SaaS sectors. You don't just know the buzzwords; you understand the architecture.
• A Track Record of Winning: Consistent history of over-achieving quotas at high-growth Enterprise software companies.
• Consumption Model Mastery: Experience driving usage-based and 'commit-and-expand' engagement models.
• Ecosystem Orchestrator: Skilled in co-selling with Cloud Giants (AWS, Azure, GCP) and Global Systems Integrators (GSIs).
• Value-Based Seller: Expert at building data-driven business cases that secure immediate buy-in from C-level executives.
• Language: Professional proficiency in English

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.

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Key responsibilities include:

• Leading and growing a team of CA's in EMEA Central region.
• Owning a full portfolio of Enterprise customers, you will be responsible for Renewal Rates, Customer Consumption, and a measure of Expansion.
• Leading and guiding the entire post-sales customer lifecycle, including onboarding, ongoing initiatives, and renewal phases.
• Strategizing with the direct sales organization on account planning, growth, and renewals.
• Acting as an escalation point for renewals strategy, critical account issues, and ongoing account planning.
• Accurately forecasting renewals and upsells.
• Providing leadership and vision to Global Leadership Team, spearheading a number of strategic initiatives.

To be successful in this role, you will bring dynamic leadership skills, demonstrable experience leading and growing Customer Success teams, and a track record of developing close relationships with sales and other related organizations.

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This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

Key Responsibilities:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure

Requirements:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights

Ideal Background:

• 8+ years of experience in software engineering roles
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organisations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field

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At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love. We're looking for a technical leader and engineering manager to help lead the search backend team.

The search backend team is responsible for major areas of the search engine, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. The team also works on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.

Responsibilities

• Lead the search backend team to develop and maintain a scalable and efficient search engine
• Collaborate with other engineering teams to bring superior search experience to users
• Drive the vision for the team and provide visibility for senior leadership into the team's global impact
• Partner with stakeholders to expand impact across the company
• Mentor and grow managers, leaders and engineers on the team

Requirements

• Experience leading and working on a large-scale production search, recommendation or ads systems
• Applied machine learning experience is strongly preferred
• Ability to drive the roadmap and directions of scalable production quality systems end-to-end
• A knack for product and impact on users of a consumer product
• 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience
• Bachelors degree in computer science or related technical field, or equivalent experience
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

In-Office Requirement Statement

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

Relocation Statement

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE #LI-DM57

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Key responsibilities include meeting with CIOs, IT executives, LOB executives, program managers, and other important partners, closing both new and existing accounts, identifying and closing quick, small wins while managing longer, complex sales cycles, exceeding activity, pipeline, and revenue targets, and tracking customer details using Salesforce.

To succeed in this role, you will need to have previously worked in an early-stage company, have field sales experience within big data, cloud, or SaaS sales, and have hunter (net-new logo) experience. You will also need to have prior customer relationships with CIOs, program managers, and essential decision-makers, be able to simply articulate intricate cloud technologies, and have 7+ years of experience exceeding sales quotas.

In exchange for your hard work, Databricks offers accelerators above 100% quota attainment, the chance to close exciting deals, and a comprehensive benefits package.

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The Director of Data & AI Support Engineering - Bangalore will lead and grow a regional team of Data & AI technical experts in India, focused on providing resiliency and smooth operation of customer production workloads.

This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions.

The team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more.

Reporting to the Global Lead of Frontline Support Engineering - Data & AI, you will be able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals.

The Impact You Will Have:

• Serve as the India site leader for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours.

• Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads.

• Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and sales when required.

• Partner with internal product engineering teams to make Databricks products better and more supportable.

• Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.

Competencies & Requirements:

• Proven people leadership experience: at least 6+ years as a manager of managers.

• 18+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience.

• Experience leading large teams (100+ employees) in engineering, technical support, or consulting. Support experience is not required - but customer facing experience is highly desirable.

• Hands-on experience in at least two of the following at production scale:

• Big Data (Spark, Hadoop, Kafka)

• Machine Learning / Artificial Intelligence projects

• Data Science / Streaming use cases

• Spark expertise is a big advantage.

• Strong background in customer-facing support leadership roles.

• Excellent troubleshooting skills across distributed systems.

• Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs.

• Bachelor’s/Master’s in Computer Science or equivalent technical field.

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:

We are committed to fostering an inclusive culture where everyone feels valued, respected, and empowered to contribute their best work.

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Key responsibilities include: Prospecting, identifying and sourcing new sales opportunities, building pipeline individually and with the Databricks SDR team Engaging with business and technical decision makers and leading them through the evaluation and buying process Exceeding individual activity, pipeline and annual revenue targets Engaging with and driving business through local partners (technology partners, ISVs, SIs and GSIs) Driving customer success and upsell in existing customers Creating a Territory Strategy

We are looking for a proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology. You should have demonstrable experience of selling innovation, ideally in Big Data, Cloud, or SaaS technology. A solution and business-outcomes focused sales approach is essential, as well as the ability to simply articulate intricate cloud & big data technologies and their business value for the customer.

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As an Engineering Manager, you will guide your team in designing and building the solutions that make our business partners' jobs easier, faster, and more capable. You will grow and empower engineers while shaping how we build Pinterest's AI future.

Key Responsibilities:

• Lead a team of employees and contractors focused on solving business problems using AI tools.
• Work closely with the existing software engineering teams to develop a seamless and low-friction client experience.
• Mentor junior engineers to help them grow and develop into the best that they can be.
• Motivate and lead your team to show up every day and do their best work.
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations.

Requirements:

• 2+ years of experience leading and growing engineering teams, with a strong hands-on background in Python.
• 7+ years of industry experience designing, building, and operating scalable, highly available backend systems, including owning production-grade infrastructure at scale.
• Proficiency in designing and delivering AI-based solutions that solve real-world business problems.
• Understanding of business unit challenges and problems, focused on Finance, Accounting, Legal, Sales, and Marketing.
• Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.
• Demonstrated technical leadership and people management experience, including setting team vision and long-term roadmap, mentoring and growing engineers across all levels, driving day-to-day execution and engineering alignment, and partnering cross-functionally to deliver complex, high-impact platform investments.
• Demonstrated ability to use AI to accelerate team execution, system design, and decision-making, paired with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.
• Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance.

At Pinterest, we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

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Key to your success will be your ability to foster and leverage the Elastic Community, adopt a bottom-up and "Cloud-first" approach with our users, and continually be thinking in terms of solutions, rather than products.

Responsibilities:

• Lead, mentor and grow the Solutions Architecture (Sales Engineering) team.
• Provide the growing team with onboarding support, training and self-directed education programs.
• Drive the value proposition for Elastic Cloud within our community and customers.
• Communicate and align key product insights across our business functions.
• Help our Product and Engineering teams prioritize features that mean the most to our users.
• Formulate and drive the partner engagement strategy to overachieve regional goals.

What We Are Looking For:

• Success leading and growing a team of Solution Architects (Sales Engineers).
• Evidence of the ability to articulate and sell the benefits of our platforms and technologies, primarily in the security space.
• A strong grasp of distributed systems and architectures.
• Ability to "own the room" while presenting and selling with audiences both large and small.
• Player coach with a sincere interest in continuous growth in yourself and your team

Bonus Points:

• Experience in open source is a plus
• Knowledge of Observability
• Knowledge of Enterprise Search, Big Data, GenAI, Security preferred

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