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Named Enterprise Account Executive, Financial Serv...
SLSQ327R846 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Named Enterprise Account Executive to join the team in Italy to maximise the phenomenal market opportunity that exists for Databricks. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth. You will report to the Sales Manager, Italy. The impact you will have: - You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals - You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform - You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement - You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: - Exstensive experience selling complex solutions to Enterprise Customers - You will have experience managing and leading complex, federated sales campaigns in major accounts - You will have experience working in Data, Cloud industries with some technical sales experience - Proof of exceeding sales quotas in high-growth Enterprise software companies - You will have experience driving consumption 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) - Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan - Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation - Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting - Bachelor's Degree or relevant work experience - Fluency in English and in Italian are required Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range 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. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed here . Italy Pay Range €175.000 - €230.000 EUR About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Named Enterprise Account Executive
SLSQ327R219 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Enterprise Account Executive to join the team in Denmark to maximise the phenomenal market opportunity that exists for Databricks. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will report to the Sales Director for Denmark and Norway. The impact you will have: - You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals - You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform - You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement - You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: - Exstensive experience selling complex solutions to Enterprise Customers - Experience working in Data, Cloud industries with some technical sales experience - Proof of exceeding sales quotas in high-growth Enterprise software companies - Experience driving consumption and commit-based engagement models and strategies working with professional services and training teams - Experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) - Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan - Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation - Experience of following robust sales methodologies and process (e.g. account planning, MEDDPICC, Value Selling and accurate forecasting) - Bachelor's Degree or relevant work experience - Fluency in English is required, fluency in Danish is preferred About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Named Enterprise Account Executive
SLSQ327R41 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Enterprise Account Executive to join the team in the Nordics to maximise the phenomenal market opportunity that exists for Databricks Sweden. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth. You will report to the Sales Director for Sweden and Finland. The impact you will have: - You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals - You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform - You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement - You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: - Exstensive experience selling complex solutions to Enterprise Customers - You will have experience managing and leading complex, federated sales campaigns in major accounts - You will have experience working in Data, Cloud industries with some technical sales experience - Proof of exceeding sales quotas in high-growth Enterprise software companies - You will have experience driving consumption 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) - Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan - Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation - Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting - Bachelor's Degree or relevant work experience - Fluency in English is required About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Named Core Account Executive - Western Canada
SLSQ327R617 Named Enterprise Account Executive – Western Canada At Databricks, we practice what we preach: we are a fiercely data-driven company that utilizes metrics and insights to drive every aspect of our business. As a Named Enterprise Account Executive, you will have complete oversight of your assigned accounts, serving as the ultimate owner of end-to-end customer relationships across Western Canada. This role requires deep domain expertise in the Energy, Mining, and Utilities sectors. We hold our sales organization to an exceptionally high standard; you should expect a culture centered on rigorous execution, where customer face-time, pipeline generation, and account activity are prioritized and measured closely. The Impact You Will Have - End-to-End Account Ownership: Act as the strategic quarterback and single point of accountability for your accounts, maintaining full oversight of the complete customer lifecycle and relationship ecosystem. - High-Velocity Customer Engagement: Maintain an elite cadence of customer activity. You will be expected to maximize face-to-face client time and cultivate deep, long-term relationships with CIOs, CDOs, and business leaders (Supply Chain, Finance, Field Operations etc) - Data-Driven Execution & Pipeline Growth: Grounded in our data-driven culture, you will aggressively drive weekly pipeline generation and accelerate use-case progression from POC to production. - Account Growth & Strategy: Architect comprehensive account plans to systematically expand existing footprints using a disciplined, program-management approach. - Sales Excellence: Consistently exceed activity, pipeline, and revenue targets by managing complex, multi-stakeholder sales cycles. - Operational Precision: Maintain pristine CRM hygiene in Salesforce on a weekly basis, accurately forecasting and tracking use-case requirements, business value metrics, and timelines. What We Look For - High-Intensity Enterprise Sales: 7+ years of experience consistently exceeding quotas in a fast-paced, high-velocity enterprise technology environment. You thrive in cultures that demand high activity, strict accountability, and frequent change. - Domain Expertise: Proven track record selling into Western Canada’s premier Oil & Gas, Utilities, and Mining sectors, backed by an active local network of CIOs and decision-makers. - Technical Acumen: Strong foundational knowledge of data solutions, including Data Warehousing, BI, Analytics, Cloud Infrastructure, Machine Learning, & GenAI. - Complex Deal Management: Adept at balancing quick wins with long-cycle sales motions while effectively coordinating internal resources (solutions architects, executives, and partners). - Education: Bachelor’s Degree or equivalent practical experience. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Named Core Account Executive (Public Sector)
As part of our accelerating APJ growth, Databricks is looking for a dynamic Account Executive to join the team. This exciting Sales role will make an important impact on revenue and the expansion of our business in Public sector (Singapore). As an Named Core Account Executive, your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within a specific vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. The impact you will have: - Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Accounts across all industries - Prospect, identify, and source sales opportunities, building pipeline individually and with the Databricks SDR team - Engage with business and technical decision-makers and lead them through the evaluation and buying process - Exceed individual activity, pipeline, and annual revenue targets - Engage with and drive business through local partners (technology partners, ISVs, SIs, and GSIs) - Drive customer success and upsell in existing customers - Create a Territory Strategy focused on the public sector industry and other industries. What we look for: - 7+ years of experience selling SaaS solutions to Public Sector/ Enterprise/mid-market/commercial/ Customers in Singapore. - Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology - Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology - Solution and business-outcomes-focused sales approach (Command of the Message, MEDDPIC, Challenger Sale) - 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 About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Named Core Account Executive-HiTech
SLSQ427R346 As an Enterprise Account Executive in Databricks', you are an enterprise sales professional experienced in selling to Enterprise accounts, specific to Hi-tech. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment. You will report to the Director of Enterprise Sales. The impact you will have: - Present a territory plan within 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 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, and SaaS sales - Prior customer relationships with CIOs, program managers, and essential decision makers - Simply articulate intricate cloud technologies - 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 About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Named Core Account Executive - DNB
SLSQ227R58 As a Digital Native Account Executive at Databricks, you are passionate about selling to high growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast, and demonstrating the value to the customer. You love understanding a product in depth and are passionate about communicating its value to Customers. Always looking for new opportunities, you will close new accounts while growing existing accounts. The impact you will have: - You will have direct influence on the data strategy of the most disruptive companies today - You will communicate account strategy to Databricks Senior Leadership on a regular basis - You will allocate Databricks resources to break into new accounts and grow existing accounts - Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes - Exceed activity, pipeline, and revenue targets - You will use a creative, fail-fast approach to selling and creating value for customers - You will build a plan for success internally at Databricks and externally with your accounts What we look for: - Passion for selling a highly technical product in the cloud - 10 - 15 years of overall sales experience - Experience with Open Source Technologies and build vs buy decision-making - Experience with Value Selling Methodologies - Creative salesperson with a well defined prospecting motion - Sales experience within big data, Cloud, or SaaS sales - Proven years experience exceeding sales quotas - Success closing new accounts while working existing accounts About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Named Core Account Executive
SLSQ227R438 Locations: East Coast As an Named Core Account Executive in Databricks', you are an enterprise sales professional experienced in selling to Enterprise accounts specifically in the DNB space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment. You will report to the Director of Enterprise Sales. The impact you will have: - Present a territory plan within 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 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, and SaaS sales - Prior customer relationships with CIOs, program managers, and essential decision makers - Simply articulate intricate cloud technologies - 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 About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager - Tech Solutions (Big Data / AI)
CSQ127R179 Mission The Manager (Data & AI) for Technical Solutions Engineering will be responsible for leading and growing 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. This 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. 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 Tech Solutions Manager 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 3+ years as a manager - 12+ 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 teams either 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. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Sales Development
SLSQ426R414 Databricks is looking for an experienced Outbound Sales Development Manager. You will be an important contributor to our sales leadership team, leading recruiting, pipeline generation strategy and constructive coaching for our Business Development Representatives (BDRs). The ideal candidate will have experience driving pipeline generation, leading sales development teams and working cross-functionally with sales and marketing teams. The impact you will have: - Manage, develop, and hire a team of outbound Business Development Representatives - Work with Sales, Demand Gen, and Marketing leadership to ensure the success of campaigns, while providing constructive input to develop new campaigns - Develop relationships with Sales segments to ensure positive working relationships and maximize the effectiveness of sales development - Help create a place where people love coming to work by maintaining a high level of enthusiasm - Enable Business Development Representatives to translate complex technical concepts into business value - Standardize and optimize outbound workflows, ensuring the team operates with high efficiency and maintains a rigorous "cadence of accountability" through CRM hygiene and process discipline - Proactively monitor the health of the outbound funnel. You won't just report on the numbers; you will use data to diagnose bottlenecks in the lead-to-opportunity lifecycle and architect creative solutions to fix them - Contribute to the "playbook" by identifying repeatable patterns of success, allowing the sales development organization to scale predictably as Databricks continues its rapid growth What we look for: - 2+ years of overall sales experience (e.g. AE), including at least 1 year managing an outbound sales development team in a SaaS environment - Experience managing outbound pipeline generation motions - A passion for coaching and developing talent - Highly data-driven: constant optimization of activities and outputs - Expertise with Salesforce and Outreach - Demonstrated success using AI to improve work streams and operating efficiency Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $108,900 - $149,700 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Professional Services
CSQ227R28 As a Manager (Professional Services) , you will hire & manage Big Data Engineers / Architects and participate in technical and design discussions with regions and customers. You will also assist our customers by overseeing projects in their Databricks journey and provide them with the guidance, knowledge, and enable them to accomplish the value and achieve their strategic objectives using our products. This individual is expected to be based in Bengaluru. The impact you will have: - Hire great people and provide technical guidance, career development, and mentoring to team members - Participate in key technical and design discussions with technical leads in the team as a hands-on manager - Experience leading the development of IP, reusable tooling , and assets for field professional services teams and partners - Partner with key business stakeholders to prioritise work and create amazing products to support our data platform. - Manage a team of technical data engineers to achieve customer, company, and team goals - Acts as the first point of escalation for customers when they have questions with our delivery. Additionally, provides escalation as needed into other parts of Databricks to ensure rapid resolution of technical and business issues. - Provide input to grow and improve internal processes and customer success service offerings. - Effectively builds and leverages customer relationships throughout the sales and delivery process. What we look for: - 12+ years of industry experience - 6+ years of successful experience in a customer facing role - 4+ years of experience leading a technical team of Data Engineers / Architects - Extensive experience in Big Data ecosystem (Spark, Hadoop ecosystem, Cassandra etc) - Knowledge of AWS / Azure / GCP - Knowledge of Databricks ecosystem is a plus - Proven documentation skills, along with strong project management experience. - Strong abilities manage multiple engagements , while delivering extremely high levels of customer satisfaction. - Excellent people skills to partner with various key business stakeholders. - Conversant with business issues our customers face today and likely big data use cases in different industries - Experience estimating effort and scope for services Benefits : - Private medical insurance - Accident coverage - Employee's Provident Fund - Equity awards - Paid parental leave - Gym reimbursement - Annual personal development fund - Work headphones reimbursement - Business travel insurance About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Payroll Accounting
GAQ327R160 About the Role We're building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. We are looking for a Manager, Payroll Accounting , to lead our payroll accounting team based in India. This is a foundational hire — you will help build the team, define the operating model, and set the standard for how payroll accounting operates at Databricks as we continue to scale This role blends team leadership with deep technical accounting expertise. As part of the Global Accounting organisation, you will ensure the accurate and timely recording of all payroll-related financial data while partnering closely with PeopleOps, Payroll Operations, Global Accounting, and FP&A to ensure strict compliance with US GAAP, local tax regulations, and internal policies. The impact you will have: - Oversee the month-end, quarter-end, and year-end payroll accounting close processes, reviewing and approving complex journal entries, accruals, and balance sheet reconciliations. - Perform monthly payroll flux analysis, identifying and clearly articulating drivers behind significant period-over-period movements for leadership and cross-functional stakeholders. - Lead payroll accounting across our global entities, with particular focus on high-complexity jurisdictions, including the Netherlands, Brazil, France, Germany, and India — ensuring accurate accounting treatment, local compliance, and timely close across each location. - Manage complex multi-currency ledger reconciliations, foreign exchange (FX) gain/loss adjustments, and intercompany cross-charges. - Provide technical accounting oversight for stock-based compensation and complex commission structures, ensuring accurate recording and compliance. - Own payroll accounting for equity compensation programs, including RSUs, stock options, and ESPP, ensuring accurate recording, tax withholding treatment, and reconciliation between equity, payroll, and the intercompany general ledger. - Serve as the primary point of contact for internal and external payroll accounting audits. Champion compliance with internal controls (SOX), US GAAP, and multi-jurisdictional payroll tax regulations. - Partner with our legal team, external consultants, and banking partners to establish new subsidiaries. Collaborate with Corporate Tax and Technical Accounting to set up accounting processes for new global locations. - Partner with PeopleOps, AP and Procurement to proactively monitor and audit independent contractor relationships, ensuring accurate general ledger classification and mitigating "disguised employee" risks - Drive AI and automation adoption across payroll accounting, including AI-assisted reconciliation between payroll registers and the GL, automated variance detection, and leveraging the Databricks Platform to streamline data flow across payroll, equity, and financial systems - Hire, train, mentor, and manage a team of payroll accountants, fostering a culture of continuous improvement and high performance. What we look for: - BA, BS Degree with a focus in Economics, Business Administration, Accounting, or Finance - 15+ years progressive accounting experience, with at least 8+ years specifically in payroll accounting and 4+ years in a supervisory/management role within a US multinational framework - A Chartered Accountant (CA) or CPA equivalent certification is required. CPP is strongly preferred. - Equity compensation accounting experience required, including for RSUs, stock options, and ESPP — from payroll tax treatment to GL reconciliation. - Proven track record driving automation and AI adoption in payroll or accounting operations, with hands-on experience implementing tools that reduce manual work and improve accuracy. - Deep understanding of US GAAP, multi-jurisdiction tax laws, and SOX compliance. Experience with cloud-based systems (e.g., SAP, Workday, Payslip) is required - Proven experience partnering with local accounting teams to file statutory accounts and the flexibility to support remote teams across different geographic areas, including with US-based accounting teams About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Partner Strategy & Operations
SLSQ227R598 The Team The Partner Strategy & Operations team supports Databricks' robust ecosystem of Cloud, SI and ISV, working with the Databricks Partnerships team. Our team is laser focused on driving operational scale in an extremely high-growth environment. We empower our stakeholders and senior leadership with the insights, tools and decision criteria to inform proactive, effective, and data-driven programmatic strategies. The Role You will be in a critical and visible position, playing a key role in scaling the APJ Partnerships team's GTM strategy. In this role, you will combine analytical insight, strong business acumen, and robust cross-functional partnerships with leaders across the company while partnering with our senior APJ Partnerships leaders to set a strategy and medium/long term goals for the business. You will then lead the execution of many of these initiatives, building scalable processes, building consensus, and supporting all of it with proactive data-driven insights and analysis along the way. The impact you will have: - Make the leaders of the APJ partnerships team more efficient and effective through a data driven approach to decision making - Create quarterly and annual OKRs, reporting, forecasting, SQL analytics, BI reporting and dashboard development, territory planning, and quota/productivity modeling - Support and run pipeline/forecast calls, team calls and quarterly business reviews - Conduct ROI analysis to evaluate the effectiveness of incentive programs and partner initiatives, making data-driven recommendations for improvement - Stay up-to-date with industry trends, market dynamics, and competitive landscapes across APJ markets, providing insights to enhance sales strategies and maintain a competitive advantage - Work cross-functionally and globally with internal stakeholders to resolve issues, understand business and data challenges, identify optimization opportunities and respond to escalation and exception requests What we look for: - You love building cross-functional processes at scale and are familiar with automation. You have designed systems and workflows spanning multiple team members and tools to manage projects spanning at least a full year - You are technical and proficient in SQL analytics, BI reporting and dashboard development, and Salesforce reporting. Whether it's building a quick Salesforce report for the business or analyzing data sets with SQL queries and BI tools, data is a core part of your toolkit, and you apply an analytical mindset to deliver strategic insights - You excel in a collaborative environment and have a high degree of honesty, integrity and sound judgment. You translate team member needs into clear tasks and deliverables for contributors. You work through dependencies, bottlenecks, and tradeoffs with ease - You have a bias for action and want to build something that lasts. Not only do you have the ability and the desire to architect the high level strategy, you want to operationalize it and can dive deep into the details - You have excellent spoken and written communication & presentation skills. You have experience resolving prioritization conflicts, resourcing shortfalls, and timing issues, and can summarize challenges & recommendations succinctly - You have 7+ years experience in sales strategy, business development, or channel management. You have experience collaborating with partner sales and field engineering teams at an enterprise technology company - You have experience operating across APJ markets. You understand the nuances of partner ecosystems across ANZ, Japan, India, Southeast Asia, and Korea, and can navigate diverse business cultures and go-to-market models About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, International Statutory & Technical Accou...
GAQ127R102 Mission Databricks is growing at an incredible pace, and our London hub is at the heart of our international expansion. As our international footprint has scaled to 27 entities through a period of rapid growth, we need a technical expert to bring structure, consistency, and automation to how we account for, report on, and stay compliant across them. Reporting to the Director, International Accounting, this is a high-impact role for someone who enjoys bringing order to a fast-evolving environment and getting hands-on with the judgments that matter most. You will drive consistent application of our group accounting policy across all international entities — owning the local GAAP interpretations, bridge methodologies, and disclosure standards they follow, and ensuring these align with the policy set by our US technical accounting team. You will also own the international compliance framework that keeps the group's filings and obligations on track. The impact you will have - Build and own the framework for applying group accounting policy across international entities — a clear, documented set of local GAAP positions and US GAAP to local GAAP bridge methodologies that replace entity-by-entity interpretation. Working closely with our US technical accounting team, you will translate the group policy they own into consistent local application and disclosure, and make sure our local positions tie back and align to group policy. - Own the international statutory compliance framework — maintain the calendar of statutory filing and audit obligations across all international entities and the standard each must meet, monitor status against deadlines, surface at-risk entities early, and escalate compliance exposures to leadership. - Build scalable, automated processes across the statutory and technical accounting lifecycle — design templated, controls-driven, and automated workflows so compliance and reporting scale across our 27 entities. - Drive regulatory adherence — keep our international technical and reporting positions aligned with local statutory and regulatory requirements in each jurisdiction, and assess the compliance impact of new and emerging regulations, updating local guidance and briefing teams ahead of adoption. - Draft the technical accounting position papers that support our statutory filings and audits on complex judgment areas — e.g. revenue recognition, intercompany and cost-plus arrangements, share-based compensation, lease accounting, and the accounting for new entities. - Provide technical review and sign-off on complex and material judgments and disclosures across the international portfolio, and act as the go-to technical resource across the statutory audit cycle — resolving contentious questions and auditor queries on judgmental matters and helping keep filings on track. - Play a key role in our NetSuite-to-SAP transition , helping design statutory and technical accounting processes that will scale on the new platform. - Collaborate extensively across the wider international accounting team, our US accounting team, Tax, HR and Legal — advising on the accounting and statutory implications of intercompany arrangements, funding, structural changes, and new entities. What we look for - Bachelor's degree in Accounting, Finance, Business, or related field. - Professionally qualified accountant (ACA/ACCA/CIMA or equivalent) with strong post-qualification experience in technical accounting and/or statutory reporting. - Strong US GAAP and FRS 102/IFRS technical knowledge is essential. - Hands-on experience drafting or reviewing technical accounting papers on judgmental areas, and preparing, reviewing, or auditing statutory financial statements. - Big 4 and/or large multinational group experience, with exposure to complex international statutory audit and technical accounting matters. - Experience working across a global organisation, collaborating with international teams across different time zones. - A builder's mindset: happy to create structure where little exists, navigate ambiguity, and improve process in a fast-moving, transforming environment. - A desire for accuracy and analytics, with the ability to identify risks and drive solutions independently. - An automation and scalability mindset — you use modern tooling and automation to build leverage and eliminate manual effort, with advanced GSuite/Excel skills and strong working knowledge of accounting systems (NetSuite, SAP, FloQast). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Forward Deployed Engineering - Public Sec...
PLEASE NOTE: Due to federal contract requirements and client site access obligations, an active U.S. government security clearance is required. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active secret or higher clearance are strongly encouraged to apply. CSQ427R212 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering , you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers across Public Sector, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The impact you will have: - Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio. - Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. - Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. - Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. - Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. - Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. What we look for: - 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures. - 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners. - Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Public Sector, Manufacturing, Finance, Healthcare, Retail, Telco, or Energy. - Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics. - Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level. - Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued. - Ability to travel to customer sites and Databricks offices approximately 20% of the time. 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 $211,800 - $291,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Forward Deployed Engineering - Manufactur...
CSQ227R79 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering , you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers across Manufacturing, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The impact you will have: - Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio. - Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. - Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. - Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. - Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. - Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. What we look for: - 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures. - 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners. - Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy. - Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics. - Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level. - Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued. - Ability to travel to customer sites and Databricks offices approximately 20% of the time. 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 $211,800 - $291,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Forward Deployed Engineering - CMEG
CSQ227R53 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering , you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers across Communications, Media, Entertainment & Gaming (CMEG), you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The impact you will have: - Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio. - Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. - Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. - Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. - Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. - Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. What we look for: - 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures. - 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners. - Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy. - Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics. - Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level. - Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued. - Ability to travel to customer sites and Databricks offices approximately 20% of the time. 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 $211,800 - $291,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Forward Deployed Engineering
Req ID: CSQ427R97 Location: Tokyo, Japan Mission We are FDEs! The Forward Deployed Engineering team is a highly specialized, customer-facing unit within Databricks. We work with strategic customers to design, build, and productionize high-impact data and AI solutions on the Databricks Data Intelligence Platform. As Manager, Forward Deployed Engineering, you will lead and grow a team of customer-facing engineers focused on solving complex data engineering and AI challenges for some of our most strategic customers. You will help shape delivery strategy, develop senior technical talent, build trusted executive relationships, and ensure our teams deliver measurable customer outcomes at high quality and scale. This is a hands-on leadership role: you will manage and grow the team while remaining the senior technical authority they escalate to. This role is ideal for a leader who combines strong people management with deep technical credibility in data engineering, platform architecture, and large-scale production delivery. The impact you will have - Lead, hire, mentor, and grow a team of ~10 high-performing Forward Deployed Engineers, building a strong culture of technical excellence, customer obsession, and execution - Partner with customers and internal stakeholders to shape complex engagements that deliver meaningful business outcomes on Databricks - Guide teams through end-to-end solution delivery, from discovery and architecture through implementation, deployment, and enablement - Build trusted relationships with technical and executive stakeholders, acting as a senior advisor during strategic customer engagements - Serve as the senior technical escalation point for the team. Stay hands-on enough to dive into architecture reviews, unblock complex delivery issues, and make high-stakes technical calls alongside your engineers on the most strategic accounts. - Coach engineers on solution design, stakeholder management, delivery quality, and long-term career development - Partner closely with Sales, Field Engineering, Product, and Professional Services leadership to align on account strategy, staffing, and execution - Improve repeatability and scale by developing reusable patterns, delivery best practices, technical assets, and team processes - Help the organization grow its presence in data engineering-led transformations, including modern data platforms, pipelines, governance, and production workloads What we look for - Experience leading, hiring, and developing high-performing technical teams in customer-facing environments - Current, hands-on technical credibility. Able to personally review designs, debug production issues, and act as the final technical escalation point rather than manage from above. - Strong background in data engineering, big data systems, and production data platform delivery - Experience across modern data workloads such as ingestion, transformation, orchestration, warehousing, analytics/BI, or streaming in enterprise environments - Strong hands-on fluency in Python and SQL; familiarity with distributed processing frameworks (Apache Spark) and JVM languages (Scala/Java) is a plus - Passion for reinventing delivery through AI. Continuously experiments with and operationalizes the latest AI coding tools (e.g., Genie, Claude Code, Codex) to improve productivity, quality, and repeatability across the team - Ability to scope and guide complex technical engagements, manage escalations, and ensure successful delivery across multiple stakeholders - Strong executive communication skills, with the ability to translate technical decisions into business impact, or vice versa - Comfort operating in ambiguous environments and leading teams through fast-moving, high-visibility customer work - Experience working with cloud platforms such as AWS, Azure, or Google CloudGCP - Fluent Japanese is required, and business-level English is required Preferred qualifications - Experience delivering lakehouse, analytics, or AI-adjacent solutions in complex enterprise environments - Deep hands-on understanding of Apache Spark, distributed data processing, and modern data architecture patterns - Familiarity with data governance, security, and platform operating models - Experience building reusable delivery frameworks, technical accelerators, or practice-level standards - Track record of influencing cross-functional strategy across sales, product, and delivery organizations About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Forward Deployed Engineering
CSQ427R211 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering for NSW, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have: - Drive regional performance targets—including billable utilisation, team growth, and hiring—while championing delivery excellence and customer success across the ANZ FDE portfolio - Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics - Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing RSA & AI Engineering practice - Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution - Develop and retain exceptional technical talent: mentor Resident Solutions Architects and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth What we look for: - 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures - 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners - Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy - Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level - Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Forward Deployed Engineering
CSQ327R50 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering for NSW, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have: - Drive regional performance targets—including billable utilisation, team growth, and hiring—while championing delivery excellence and customer success across the ANZ FDE portfolio - Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics - Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing RSA & AI Engineering practice - Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution - Develop and retain exceptional technical talent: mentor Resident Solutions Architects and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth What we look for: - 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures - 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners - Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy - Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level - Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Forward Deployed Engineering
(REQ ID: CSQ427R209) Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering , you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have: - Oversee regional performance targets, including billable utilisation, team growth, and hiring, while championing delivery excellence and customer success across the FDE portfolio. - Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. - Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. - Synthesise field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. - Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. - Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. What we look for: - Key requirements - 4+ years leading high-performing technical delivery teams, with a proven track record building excellence-driven cultures - 5+ years as a technical solutions architect or data/AI engineer, providing coaching credibility - Proven technical depth to personally build with AI, coach teams with best practices, drive organisation-wide adoption - Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments - Strong understanding of technical project delivery, including scope, timelines, and SOW management - Strong stakeholder management skills navigating complex, high-stakes customer environments - Ability to travel to customer sites approximately 20% of the time Nice-to-Haves - Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem - Consulting / professional services background with a hands-on technical foundation - Prior experience at a hyperscaler (Google, AWS, Azure) or a top data/AI company - An in-house/industry stint alongside vendor-side delivery experience About the Team Forward Deployed Engineering sits at the frontier of Databricks delivery — engineers who embed with enterprise customers to architect and build full-stack data and AI solutions on the platform. The Amsterdam team serves customers across the region undergoing data and AI transformation, and is growing its practice with a focus on delivery excellence and AI-native solutions. More than 10,000 organisations worldwide — including over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform. ——— LI-hybrid About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Field Engineering - Strategic Digital Nat...
As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies. 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. This role will report to the Director of Solutions Architecture for the Strategic Digital Native Business Unit. 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 About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Field Engineering - MFG
REQ ID - FEQ327R483 Location(s): Central US (Texas, Illinois, St. Louis) While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Central United States. The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. 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 is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: - You will hire, train, grow, and manage a bar-raising 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. - You will maintain a robust hiring pipeline at all times. - Establish relationships across the business to make your customers and team successful. - Partner with sales leadership to hit sales and consumption targets while ensuring customer success - Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs What we look for: - 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals - 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI). - A deep technical understanding of the impact that Data + AI can drive within various industry segments - Technical competence to earn the trust of Engineering talent and leadership at Databricks. - Trusted advisor to technical executives who guide strategic data infrastructure decisions. - Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations. - Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans. - Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners. - Experience working with other teams such as Product Management, Engineering, and Customer Success. - Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $172,500 - $237,150 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Field Engineering Italy
FEQ427R185 Note: Location for the role is in Milan (i.e. within commutable distance). As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Italy. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. 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 important partners in large corporations. The impact you will have: - Hire, mentor and grow the pre-sales team in Italy - Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture - Support increased return on investment of SA involvement in sales cycles - Ensure a solution and value-based selling within the field-engineering organization - Display an understanding of needs and revenue potential for accounts in the assigned region - Engage with key customer executives to build and strengthen strategic partnerships - Ensure close alignment with partners and internal services to secure implementation strategies within accounts - Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region What we look for: - Experience managing a team of successful Big Data, Cloud, or SaaS professionals - Experience in consumption based business environments - Have experience mentoring and scaling technical teams - Success in instituting processes for technical field members to lead efficiency and product focus - Ability to partner and collaborate with Sales and other cross-functional leaders - Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions - Technical or consulting background either in Data Engineering, Database technologies or Data Science - Strong communication skills. Italian native-speaker and fluent in English. LI-hybrid Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range 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. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed here . Italy Pay Range €107.600 - €147.875 EUR About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Field Engineering France - Specialist Sol...
FEQ327R159 Field Engineering Manager - Specialist Solutions Architects France The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSAs) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. 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 customer architectures; and build relationships with key stakeholders in large corporations. The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy. Reporting to the Senior Manager, Field Engineering (Specialist). The impact you will have: - You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode - Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward - Make your customers extremely successful with Databricks and provide outsized value to their businesses - Establish relationships across the business to make your customers and team successful - Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota - Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners - Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership - Act in a supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc. What we look for: - Experience in senior roles in the data space with a technical product (i.e. data warehousing, big data, or machine learning) - Experience in leading technical overlay customer-facing teams (team sizes greater than 8), preferably in a pre-sales organisation leading technical engagements - Trusted advisor to technical executives that guide strategic data infrastructure decisions - Team player, but able to challenge and define priorities - Self-starter, challenger, strategic planner & analytical thinker - Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations - Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles. - Experience working with other teams such as Sales, Product Management, and Professional Services About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Field Engineering France
FEQ227R207 As a Field Engineering Manager, you will lead a talented team of technical pre-sales Solutions Architects and Solutions Engineers based in France. You’ll play a key leadership role at the intersection of technology and business, helping our teams design value-based solutions and drive growth through effective collaboration with Sales. You’ll coach your team to communicate complex ideas clearly, support strategic sales cycles, and build strong partnerships with customers and stakeholders across large organisations. The impact you will have: - Lead, mentor, and develop a high-performing pre-sales team in France. - Foster an inclusive and collaborative culture that reflects Databricks’ values of customer obsession, teamwork, and diversity. - Partner with Sales to drive growth through solution- and value-based selling. - Enhance team effectiveness by establishing best practices that improve efficiency and focus on business impact. - Build trusted relationships with customer executives and strategic partners. - Collaborate across teams—including Marketing, Sales, and Services—to ensure seamless implementation and customer success. - Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in the market. What we look for: - Proven experience managing technical teams in Big Data, Cloud, or SaaS environments. - A track record of leading, mentoring, and scaling pre-sales or technical field organisations. - Understanding of consumption-based business models. - Ability to collaborate effectively with Sales and other cross-functional leaders. - Strong communication and interpersonal skills—fluent in English and native-level French. - Technical background in Data Engineering, Databases, or Data Science (consulting experience is a plus). - Passion for data, AI, and cloud technologies and the ability to articulate their business value clearly. Note: Location for the role is in Paris (i.e. within commutable distance). LI-hybrid About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Field Engineering - Financial Services In...
REQ ID - FEQ227R90 Location: Toronto, ON The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in Canada are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solution Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ data and AI experiences forward. Reporting to the Director of Field Engineering, the Manager, Field Engineering will help lead a team of SAs for the Commercial and Enterprise segment of Databricks’ Field Engineering team focused on the Financial Services Industry. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (70% pre-sales, 30% technical acumen/demonstrations), 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 is efficient in its operations to help accelerate Databricks' growth in the market. The impact you will have: - You will hire, train, grow and manage 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. - You will maintain a robust hiring pipeline at all times. - Establish relationships across the business to make your customers and team successful. - Partner with sales leadership to hit sales and consumption targets and ensure customer success - Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining a deep understanding 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: - 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, and enabling pre- and post-sales professionals - 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning). - A deep technical understanding of the impact which Data & AI can drive within various industry segments - Trusted advisor to technical executives that guide strategic data infrastructure decisions. - Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations. - Experience hiring candidates, 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 partners. - Experience working with other teams such as Sales, Product Management, Engineering, and Customer Success. - Must be technical enough to earn the trust of Engineering talent and leadership Databricks. - Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers towards ideal solutions that scale. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range 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 anticpates 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. Canada Pay Range $178,100 - $244,850 CAD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Engineering - AI/BI
RDQ226R533 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars Dashboards, Genie, Databricks One and Unity Catalog Business semantics. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business. We're seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams.These teams will be tackling a number of challenging fullstack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing best in class low/no code authoring, and increasing the analytical expressivity of our business semantics products. You will report directly to the Senior Manager of Engineering. The main responsibilities include: - You will lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives. - You will oversee sustained recruitment of top-tier talent, and developing talent on the team. - You will build processes to implement product vision and strategy, according to organizational goals and priorities. - You will build software that is not just high quality, but easy to operate. - You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap. What we look for: - Great at hiring and developing talent - Great at creating efficient processes that increase velocity and quality - 2+ years of experience in managing teams that build and operate systems in a SaaS environment - 5+ years of experience with distributed systems and building platforms and services and best in class application experience which serve multiple product teams and customers - Have experience in scaling engineering teams from 5 to 20+ - Team player that will work with other departments (PM, CS) and engineering teams. - BS or higher in Computer Science, or a related field - Strong track record of attracting, hiring, and retaining top engineering talent - Experience managing distributed teams across multiple locations. - Adaptability and resilience in a fast-paced, rapidly evolving tech environment Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range 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 anticpates 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. Canada Pay Range $171,100 - $227,500 CAD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Delivery Solutions Architects - Toronto,...
REQ ID - CSQ427R107 Location: Toronto, ON Build and lead a team of Delivery Solution Architects. DSA’s lead the post sales technical strategy for our largest Enterprise customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem. As a DSA Manager, you will shape and monitor the post sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales and professional services teams as well as partners. You will be responsible for the DSA team in the Canada region and you will report to the Director, Field Engineering in Canada. You will make investment decisions in collaboration with the sales and pre sales managers for your region. You will help shape and adjust the value proposition of the DSA role for your region and promote it in front of sales teams and customers. You will be technical sponsor and thought-leader to a select number of customers. You will hire and coach your team to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production, faster. You and your team will contribute to the creation of assets to build the Delivery Solution Architecture practice and improve effectiveness and consistency in working with customers. The Impact You Will Have - Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring) - Hire, coach, and grow a team of Delivery Solutions Architects for a company in high-growth mode - Keep your team of DSA’s ahead of the technical curve. A DSA adds value by maintaining advanced knowledge of the technology stack, and advising customers on the best use of it in their architecture. You will make sure that your team is continuously learning and staying in-line with the other field functions while consistently exceeding their certification goals - Assign accounts and distribute work across individuals for optimal customer coverage and team balance - Inspire the team to be customer obsessed by understanding customer goals, their use cases, and Databricks technology - Build relationships and partner with Sales, pre Sales and professional services teams to accelerate growth of customers - Work with cross functional teams to reduce customer risk and help your team with escalations and address any issues or blockers - Lead team activities to monitor customer progress and forecast growth - Provide input to grow and improve internal processes, drive operational rigor and lead programs that drive impact across the organization - Maintain a robust hiring pipeline at all times What We Look For - 7+ years of successful experience in a customer facing role - Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science. - Experience building and leading technical post-sales teams - hiring, on-boarding, and enabling post-sales professionals - Trusted advisor to technical executives that guide strategic data project delivery decisions - Lead a team through best practices for architecture discussions, use case Go-Lives, creating project and execution plans and customer growth strategy - Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners - Experience in delivery and deployment of workloads or data products into production, e.g. in a delivery architect, project manager, devops, or service/product owner role - Conversant with business issues our customers face today and likely big data use cases in different industries Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range 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 anticpates 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. Canada Pay Range $254,000 - $340,000 CAD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Delivery Solutions Architects - Financial...
CSQ327R104 You will build and lead a team of Delivery Solution Architects (DSAs) responsible for the post-sales success of Databricks' largest Financial Services customers. This is one of the most consequential delivery leadership roles in the company. The customers in your portfolio anchor a strategic vertical for Databricks, and your team's work directly determines how quickly Data and AI transforms how they do business. As a DSA Manager you set the technical strategy across your portfolio, decide where to invest your team's capacity, and partner with Sales, Pre-Sales, Professional Services, and our Systems Integrator ecosystem to move use cases from kickoff to production. You are a hands-on technical sponsor and trusted advisor to a select group of customers, including their C-suite. You build the systems, operating cadences, and playbooks that make your team and the broader DSA practice sharper over time. The DSAs you lead are senior technical talent, drawn from principal-level solution architecture, top-tier consulting, or senior engineering backgrounds. Hiring, coaching, and growing this team is the heart of the job. The impact you will have: - Hire, coach, and develop a high-performing DSA team. Own career growth, calibrated performance management, and individual development plans. - Own capacity planning and investment forecasting across the FINS portfolio. Defend investment decisions with data, alongside sales and field leadership. - Partner with Sales, Pre-Sales, Professional Services, and Systems Integrator partners to accelerate use case delivery and reduce customer risk. - Drive measurable customer outcomes: use-case throughput, time-to-production, consumption growth, and renewal rates. Forecast each across your portfolio. - Bring a programmatic approach to running the business. Build the systems, operating cadences, and playbooks that scale the DSA practice. - Shape and promote the value proposition of the DSA role with our internal partners and our customers. What we look for: - 5+ years of experience managing a customer-facing technical team (DSA, Solution Architect, Technical Account Manager, Customer Success Engineer, or equivalent). - Demonstrated leadership of a team of pre-sales or post-sales technical talent. - Track record of putting data and AI workloads into production at scale, e.g., as a delivery architect, project manager, DevOps engineer, or service or product owner. - Conversant with the business problems and Data and AI use cases in financial services (banking, capital markets, insurance, or asset management preferred). - A bias for building systems, not just running them. A bias for growing people, not just managing them. - Track record of overachievement against quota, Goals or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - 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. For more information regarding which range your location is in visit our page here . Local Pay Range $197,100 - $270,975 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Delivery Solutions Architects - Emerging...
As a Delivery Solutions Architect (DSA) Manager supporting our Emerging Enterprise (EE) segment, you will build, lead, and inspire a team of DSAs who help our most innovative, fast-growing customers accelerate their journey from idea to production on the Databricks Platform. Your team will focus on accelerating use case onboarding, enabling production workloads, and driving success in production, ensuring every customer achieves measurable outcomes and business value. You will set strategy, coach technical excellence, and ensure your team remains at the forefront of modern Data and AI architecture. You will report to the Director of Delivery Solutions Architecture for the Emerging Enterprise Unit. The Impact You Will Have - Build and Lead a High-Performing Team: Hire, coach, and grow DSAs capable of guiding EE customers to production success across a wide range of Data, AI, and ML workloads. - Accelerate Path to Production: Inspire your team to minimize friction, remove blockers, streamline onboarding, and enable customers to get high-impact workloads into production faster. - Maintain Technical Excellence: Ensure you and your team stays ahead of the curve with advanced knowledge of Databricks and the broader Data and AI ecosystem, continuously learning and achieving certifications. - Collaborate for Customer Growth: Partner closely with Sales, Solutions Architects, Support, Product Engineering, and Professional Services to build integrated customer plans that accelerate adoption and deliver tangible ROI. - Champion Operational Rigor: Establish mechanisms for tracking, forecasting, and communicating workload progress, usage growth, and customer health. - Be a Thought Leader and Sponsor: Serve as the technical sponsor for select EE accounts, engaging tech leads and executives to shape customer success strategy at scale. - Contribute to the DSA Practice: Drive initiatives that enhance consistency, scalability, and innovation across the DSA organization. What We Look For - 7+ years of experience in customer-facing technical roles (Architecture, Field Engineering, or similar roles with a focus on Data and AI), including 3+ years leading technical teams. - Experienced in cloud-based Lakehouse architectures, specifically in guiding customers through migrations and modernization, leveraging cloud-native architectural principles. - Proven track record in accelerating workloads to production and enabling sustained success on cloud-native platforms. - Deep understanding of and ability to guide complex architectural discussions related to distributed data systems and cloud-native platforms. - Hands-on experience in SQL, an Object-Oriented Programming Language (preference for Python, SQL, or Scala), code reviews, and architecture design sessions. - Expertise in Data and AI domains, such as Analytics, Data Warehousing, ETL, Streaming, and/or ML/AI productionization. - Experience with hyperscaler platforms (AWS, Azure, or GCP) is a strong plus. - Ability to manage escalations, forecast usage growth, and operationalize customer success programs. - Strong communication and executive presence; trusted advisor to technical leaders and C-level stakeholders. - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). - Willingness to travel up to 30% as 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. For more information regarding which range your location is in visit our page here . Local Pay Range $197,100 - $270,975 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Delivery Solutions Architects - Digital N...
As a Delivery Solutions Architect (DSA) Manager supporting our Digital Native Business (DNB) segment, you will build, lead, and inspire a team of DSAs who help our most innovative, fast-growing customers accelerate their journey from idea to production on the Databricks Platform. Your team will focus on accelerating use case onboarding, enabling production workloads, and driving success in production, ensuring every customer achieves measurable outcomes and business value. You will set strategy, coach technical excellence, and ensure your team remains at the forefront of modern Data and AI architecture. You will report to the Director of Delivery Solutions Architecture for the Digital Native Business Unit. The Impact You Will Have - Build and Lead a High-Performing Team: Hire, coach, and grow DSAs capable of guiding DNB customers to production success across a wide range of Data, AI, and ML workloads. - Accelerate Path to Production: Inspire your team to minimize friction, remove blockers, streamline onboarding, and enable customers to get high-impact workloads into production faster. - Maintain Technical Excellence: Ensure you and your team stays ahead of the curve with advanced knowledge of Databricks and the broader Data and AI ecosystem, continuously learning and achieving certifications. - Collaborate for Customer Growth: Partner closely with Sales, Solutions Architects, Support, Product Engineering, and Professional Services to build integrated customer plans that accelerate adoption and deliver tangible ROI. - Champion Operational Rigor: Establish mechanisms for tracking, forecasting, and communicating workload progress, usage growth, and customer health. - Be a Thought Leader and Sponsor: Serve as the technical sponsor for select DNB accounts, engaging tech leads and executives to shape customer success strategy at scale. - Contribute to the DSA Practice: Drive initiatives that enhance consistency, scalability, and innovation across the DSA organization. What We Look For - 7+ years of experience in customer-facing technical roles (Architecture, Field Engineering, or similar roles with a focus on Data and AI), including 3+ years leading technical teams. - Experienced in cloud-based Lakehouse architectures, specifically in guiding customers through migrations and modernization, leveraging cloud-native architectural principles. - Proven track record in accelerating workloads to production and enabling sustained success on cloud-native platforms. - Deep understanding of and ability to guide complex architectural discussions related to distributed data systems and cloud-native platforms. - Hands-on experience in SQL, an Object-Oriented Programming Language (preference for Python, SQL, or Scala), code reviews, and architecture design sessions. - Expertise in Data and AI domains, such as Analytics, Data Warehousing, ETL, Streaming, and/or ML/AI productionization. - Experience with hyperscaler platforms (AWS, Azure, or GCP) is a strong plus. - Ability to manage escalations, forecast usage growth, and operationalize customer success programs. - Strong communication and executive presence; trusted advisor to technical leaders and C-level stakeholders. - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). - Willingness to travel up to 30% as 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. For more information regarding which range your location is in visit our page here . Local Pay Range $197,100 - $270,975 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Manager, Delivery Solutions Architects
(CSQ327R106) As a DSA Manager, your role is to build and lead a team of Delivery Solution Architects (DSAs). You work in close collaboration with the Sales, Pre-Sales, FDE and Partners teams in the Southern Europe, Israel, Middle-East and Africa (SEMEA, France excluded) region to shape the post-sales delivery strategy for our major customers and will report to the SEMEA SSA & DSA leader. DSAs are collaborating with sales and field engineering teams to drive our customers' adoption and growth. They are guiding complex customers to maximize platform value and ROI. This hybrid role combines commercial skills to foster customer relationships and drive growth, with technical expertise across all Databricks products. They are engaged at all organizational levels to drive the adoption. Your role will have 3 main pillars: - People : Hire, coach and support a diverse team able to ensure our customers’ success in their roadmap delivery - Business : You will contribute to the growth of the region and to the investment/co-investment positioning of your team with our customers - Leadership: You will be the technical sponsor and thought leader for a number of selected customers. You and your team will contribute to the creation of assets to build the Delivery Solution Architect practice to and improve effectiveness and consistency in working with customers. The impact you will have: - Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring) - Lead by example using our AI tooling to deliver C-level thought leadership discussions with our customers - Assign accounts and distribute work across individuals for optimal customer coverage and team balance - Inspire the team to be customer-obsessed by understanding customer goals, their use cases, and Databricks technology - Partner with Sales, pre Sales and FDE teams to accelerate growth of customers - Work with teams to reduce customer risk and help your team with escalations. - Lead team activities to monitor customer progress and forecast growth - Provide input to grow and improve internal processes and customer success service offerings - Promote cross-functional programs, plans, documentation What we look for: - 10+ years of experience in a customer-facing role - Experience leading a team of pre or post-sale consultants/solution architects, technical account managers or customer success engineers. - Experience in Cloud, Data, AI domains - Experience in putting workloads or data products into production and running them, e.g. in a delivery architect, project manager, DevOps, or service/product owner role. - Conversant with business issues our customers face today and likely big data use cases in different industries - Fluent in Italian and English. Additional language skills in the region will be advantageous. - Based in Milan, Paris or Madrid, in commutable distance to the office location in all 3 countries. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range 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. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed here . Italy Pay Range €134.400 - €184.800 EUR About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Legal Counsel, EMEA Commercial
Databricks — the global leader in data and AI — is looking for a motivated Legal Counsel to play a key role in our growing EMEA business. This is an opportunity to bring your SaaS commercial experience to a company defining the next generation of data, analytics and AI — partnering with sales teams to enable some of the world's most innovative organisations to build on the Databricks Data Intelligence Platform. You will report to the Director & Assistant General Counsel, EMEA Commercial Legal, and will be a valued part of the team responsible for reviewing and negotiating customer agreements, providing legal support for revenue-generating activities of Databricks, and helping the business to improve processes and scale at pace. The impact you will have: - Working in partnership with the sales teams to enable some of the best known companies in the world to adopt the world's leading data and AI platform. - You will diligently help resolve legal issues to enable smooth and timely transactions, escalating to senior team members where appropriate. - You will work collaboratively within an experienced and supportive legal team that will invest in your development and learn to confidently guide our sales teams on internal processes. - You will have a genuine appetite to test, adopt and champion AI tools that make our legal function faster and smarter. - Reviewing, drafting and negotiating commercial agreements, such as MCSAs, SOWs and Order Forms, ensuring that Databricks' risk position is protected and internal compliance requirements are met; - Supporting the end-to-end contract management lifecycle, providing practical, commercially-minded advice to sales and professional services teams on contractual risks and commercial matters; - Actively testing and adopting AI tools to improve the efficiency of contract review and the wider legal function, and contributing to process improvements and good practices that help us scale; - Providing support and enablement to sales teams on key contractual requirements, best practices and contract management; - Developing a strong understanding of Databricks' internal structures, product offerings, technology, security/data protection positions and policies to give you a foundation for providing support across Databricks' lines of business; - Building your understanding of Databricks' commercial offerings to support sales teams (and customers where needed) during negotiations; - Applying critical thinking and problem-solving skills to propose business solutions which can meet the business' and customers' needs; - Cultivating strong cross-functional relationships with key stakeholders to support the Company's go-to-market efforts across EMEA; & - Contributing as a team player to help further the status of the legal department as a respected and valued partner within the company. Requirements for the role: - Bachelor's degree (or equivalent); - Qualified lawyer (or equivalent), with approximately 3 years' PQE; - Experience gained in-house at a leading SaaS company (or in private practice supporting one) with a regular/quarterly sales cycle; - Solid experience negotiating MSAs, NDAs, Order Forms and legal amendments with enterprise customers; - Familiarity with, or willingness to quickly learn, large CRM systems (like Salesforce) and contract management systems (like Ironclad); - A genuine willingness to test and adopt AI tools to improve the efficiency and quality of legal work — this is a must, not a nice-to-have; - Demonstrated ability to manage and prioritise time and business needs in the face of competing demands; - Experience working with sales teams; - A real appetite for the challenge of supporting a world-leading data and AI company operating at hyper-growth scale. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Legal Counsel, Commercial
GAQ127R55 Location: We're looking to hire for this role in our Singapore, SG office. This will be a hybrid role with in-office expectations. About the Role: Databricks is looking for an experienced commercial attorney to join our growing commercial legal team focused on supporting our Asia field teams and providing ad hoc support to GTM and bespoke new-market entry support in the region (as needed). You will be a key player in reviewing and negotiating customer agreements and providing legal support for Databricks' revenue-generating and commercialization activities across Asia. You will report to the Sr. Director & AGC, Commercial Legal. You have 4+ years of relevant commercial legal transactional experience with a focus on complex technology transactions within the Asia market. You possess meaningful experience negotiating SaaS commercial transactions and strong knowledge of legal issues related to data privacy, information security, artificial intelligence, and intellectual property. The Impact You Will Have: - Revenue Enabler: Become a vital member of the commercial legal team responsible for negotiating enterprise-level cloud service agreements. You will ensure that risk oversight is effectively integrated and balanced with Databricks’ ambitious business objectives, in further enabling continued rapid revenue growth in the region. - Strategic Partner: Cultivate strong relationships with the field sales team by providing sound, strategic counsel to close complex sales transactions. - Policy Architect: Help maintain and update our legal templates to ensure compliance with evolving provincial and federal laws while supporting global consistency. - Subject Matter Expert: Serve as a pragmatic business partner, providing legal counsel on Databricks’ technology, product portfolio, and security/compliance architecture, especially as they relate to local compliance standards. - Cross-Functional Collaborator: Partner and work closely with Finance, Information Security, and Product teams to align and enforce global contracting processes and policies within the context of local business norms. What We Look For: - Experience: Minimum of four (4) years of technology transactions experience, either at a top-tier law firm and/or in an in-house role at a high-growth SaaS company. - Asia Market Expertise: Demonstrated experience drafting and negotiating cloud software sell-side transactions successfully with enterprise companies across Asia, including a deep understanding of data privacy, public sector, and data sovereignty requirements across the region. - Enterprise Software Business Model: Relevant experience with cloud-based software, consumption, and commit-based business models, and the nuances of the quarterly/fiscal year sales cadence. - Negotiation Skills: Proven ability to successfully navigate, objection handle complex legal issues involving information security, AI, and intellectual property (including open-source software). - Agility: Ability to prioritize competing demands and remain responsive in a fast-paced, high-pressure environment. - Communication: Outstanding written and verbal communication skills; foreign language fluency is considered a significant plus. - Education & Qualifications: LL.B. or J.D. from a recognized law school, qualified to practice law in SG. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lead Solutions Architect - Strategic Customers
Req ID: FEQ126R19 Location: London Industry Sector: All verticals - Strategic Customers The Opportunity: Shaping The Future of Data & AI With Our Largest Customers Data & AI are the engine driving transformation across our customer base. We are seeking a strategic technical leader to collaborate with our most significant, complex enterprise customers to accelerate that transformation across the UK & Ireland. As a Lead Solutions Architect in the UKI Field Engineering practice, you will be an expert in driving organisational transformation through technology, data and AI . You will work with Databricks UKI leadership to identify and engage a select group of customers at the executive level to advise on and drive Databricks adoption to achieve their business objectives. You will demonstrate our builder culture to the highest standards. At Databricks, we believe in “show, not tell”, and you will leverage the latest in Data & AI technologies to inspire customer CTOs, VPs and senior leaders to think bigger and go further in democratising Data & AI across their organisations. You will act as a peer leader for the Databricks UKI technical communities, demonstrating thought leadership, working to establish and maintain best practices and collaborating across our leadership teams to drive collective success and develop the next generation of solutions architecture talent. Why You’ll Love This Role - Strategic Influence: You will move beyond pure technology to shape long-term data strategies for complex, enterprise-scale organisations operating at the cutting edge of Data & AI. - Independent Ownership & Execution: As a Lead Solutions Architect, you will be encouraged to define your own approach to hitting our organisational goals, supported by our UKI leadership teams and extensive support functions. - High Velocity & Growth: Databricks grew by over 65% across the last financial year and we have no intention of slowing down. Our product portfolio continues to expand and innovate, enabling you to bring a high-velocity reality to some of the UK & Ireland’s most recognisable brands and to evolve your own skills along the way. How You Will Make an Impact - Trusted Advisory: You will build authentic partnerships with stakeholders—from developers to C-suite executives—helping them understand the vision of the Databricks Data Intelligence Platform. - Strategic Planning: Partner closely with Account Executives & UKI Leadership to design engagement strategies that address the specific needs of our largest customers. - Team Coaching: Act as a mentor for the wider practice, guiding them on how to approach complex customer scenarios and engage at an executive level with credibility. - Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer. - Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing content, and speaking at industry events. What We Are Looking For - Enterprise Architecture: Experience influencing technology change at a global-scale enterprise level, with a particular focus on Data & AI strategy and implementation. - Commercial Awareness: Deep appreciation of customer and vendor commercial motivations and sales cycles. - Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs. - Builder Mentality: A bias towards “showing” rather than “telling”, preferring to inspire stakeholders through built examples. - Technical Expertise: Deep experience in core data & AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc.) - Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech to non-technical leaders. - Travel: This role requires travel to customer sites in the UK and London offices (approx. 20-30%). We support flexible scheduling to help manage this travel alongside your personal life. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lead GTM Enablement & Scale Architect, Product Ena...
SLSQ227R703 Lead GTM Enablement & Scale Architect, Product Enablement The Impact You Will Have Databricks ships category-defining products across its portfolio - from Data Warehousing and Real-Time Analytics, to Data Engineering, AI and Agents, Business Intelligence and Genie, and Operational Data. This is a founding enablement role. You won't be inheriting a playbook - you'll be writing it. You will own the end-to-end enablement strategy that takes a Databricks product area from early adoption to something every Solutions Architect in the field can confidently qualify, position, demo, and defend in competitive situations. You will be the connective tissue between the Product team and a global field of SAs and Partner Technical Sales - translating product capabilities into customer outcomes, and representing the field-readiness voice in Product forums where the story is unclear, where SAs stumble on positioning, where the demo surface needs to tighten before it reaches the field. What You'll Do - Own the global GTM and enablement strategy for your Databricks product area for Field Engineering and Partner Technical Sales - from foundational knowledge through advanced competitive positioning - Build and ship enablement at scale using AI: use vibe coding, and AI content pipelines to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments - then curate for accuracy and field impact - Drive a 'builder-first' SA culture by architecting scalable demo environments and POC repositories designed for forking, rapid customization, and deep technical proof-of-concept delivery. - Partner directly with Product and Engineering leadership to stay ahead of the roadmap and translate upcoming features into field-ready assets before GA - Establish a tight product feedback loop - systematically capture field friction, lost deals, and SA objections and channel them back to Product with actionable recommendations. You have the standing to tell PMs what's not working and the data to back it up - Design the competitive narrative architecture and build the "why Databricks" story that gives an SA confidence walking into a room with a customer executive. - Create scalable, multi-format enablement: Deep dives, solutions, AI role-plays, hands-on labs, and self-paced learning paths - always with a bias toward assets SAs can use in a customer conversation immediately - Build AI-powered tools that make the field smarter: agents for instant answers, AI role-plays for pitch practice, automated competitive briefs from real-time market signals - Define and track KPIs that measure field readiness, and whether SAs are actually winning more deals in your product area - Stay a practitioner yourself: spend ~10-15% of your time in customer-facing moments - customer executive briefings, select competitive POCs, because what you build is sharper when you've defended the position in front of a customer executive, not just written it down - Take a step back, think strategically and innovate your approaches to keep up with the fast paced environment. What We Look For - 8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure - You've been the SA in the room: you know what it feels like to run a POC, handle objections live, and defend a technical position against a competitor. That lived experience is what makes your enablement credible - Deep hands-on knowledge of modern data and AI platforms, and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, or operational databases) - Builder mentality: you default to building tools, demos, and automations, not decks. You use AI tools as a daily force multiplier, not a novelty - Demonstrated ability to build enablement programs from scratch (0-to-1), not just iterate on existing content. You see a blank page as an opportunity, not a problem - Strong product instinct: you can look at a feature roadmap and immediately see how it maps to customer use cases and competitive differentiation - Experience working directly with Product and Engineering teams as a peer, not just a consumer of their content - The backbone to tell Product "the field can't sell this because X" - backed by data and field evidence - Scaling mindset: everything you build needs to work for a global field team, not a 20-person workshop. You think about leverage and automation before you think about live delivery - Exceptional communication skills - you can make complex technical concepts accessible to a broad technical audience - Familiarity with the data and AI ecosystem: Lakehouse architecture, Delta Lake, vector databases, AI/ML serving patterns Nice to Have - Experience at a high-growth infrastructure company during a major product launch - Background in both pre-sales and post-sales technical roles - you've lived the full customer lifecycle - Hands-on experience with Databricks or competitive platforms - Experience building AI applications on modern data and AI platforms (RAG patterns, agent architectures, etc.) - You've already used AI to build at scale - automating content creation, building internal tools, or shipping demos faster than anyone thought possible 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 $217,800 - $299,400 USD Zone 2 Pay Range $196,000 - $269,500 USD Zone 3 Pay Range $185,100 - $254,550 USD Zone 4 Pay Range $174,200 - $239,600 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lead GTM Enablement & Scale Architect, Field Engin...
FEQ327R617 Lead GTM Enablement & Scale Architect, Field Engineering - Customer Skills About Databricks 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. The Impact You Will Have Pure technical knowledge used to be the main factor in winning customer trust. But in a world where AI can generate prototypes and answer complex queries instantly, being a walking feature catalog isn't enough anymore. What truly sets a great Technical field apart today is their ability to connect with customer leadership, understand real business problems, and build meaningful trust. Technical skills get us into the room, but strong judgment and conversation leadership win the partnership. In this role, you will shape that evolution for a global team of over 3,000 Field Engineers (Solutions Architects). Rather than following an existing playbook, you’ll help write the strategy to elevate our engineers from skilled technical builders into trusted business advisors. This isn't about generic soft-skills workshops—it's about teaching customer influence within the real-world context of the Databricks platform, our deals, and executive decision-making. You will define what true trusted advisorship looks like here and build practical programs that translate directly into real customer conversations. What You'll Do - Own the global strategy for Customer Skills across Field Engineering - the frameworks, the standard, and the definition of what separates a technical specialist from a trusted advisor - and then execute it end to end - Build the influence approaches in the context of the platform: discovery, working backwards from business outcomes, executive engagement, value framing, and consumption-driven selling, all taught against real Databricks deals and real customer scenarios, never in the abstract - Elevate the field from builder to builder-plus-advisor: define the behaviors that matter now that AI has lowered the technical barrier, and build the programs that develop judgment, presence, and the ability to influence a CxO - Build and ship enablement at scale using AI: use Claude Code, vibe coding, and AI content pipelines to generate first-draft practice scenarios, role-play prompts, coaching content, and personalized learning journeys, then curate for impact - Design and build AI-powered practice environments - executive role-plays, scenario simulators, personalized coaching agents - that SAs use in their flow of work, so practice happens before the customer meeting, not after the deal is lost - Partner directly with FE leadership, the People Team, and enablement peers to embed customer skills into the hiring bar, performance management, and career development, so this becomes how we hire, coach, and promote, not a one-time program - Enable SAs and account teams to break out of the IT silo and drive consumption at the CxO level - Establish a tight leadership feedback loop: systematically surface where the field stalls - in discovery, in the executive conversation, in converting a technical win into consumption - and bring those insights back to FE leaders with recommendations they can act on. - Create enablement that changes behavior, not completion rates: workshops, AI simulations, peer coaching frameworks, and certification paths, always biased toward what shows up in the next customer conversation - Stay a practitioner of what you teach: spend ~10-15% of your time leading the customer executive conversations you train SAs on - EBCs, CxO briefings, strategic account reviews. You cannot build trusted-advisor enablement from outside the room - Define and track KPIs that measure behavior change: SA confidence, quality of customer engagement, deal progression velocity, and consumption growth in enabled accounts What We Look For - A technical leader who has built customer-facing skill at scale inside a large, global technical organization - you have done a version of this job before, for hundreds or thousands of people, not twenty - You have been the SA in the room, or in a role close enough that you have run discovery, handled an executive on the fly, and turned a technical win into consumption. That lived experience is what makes your enablement credible to a skeptical field - A strong point of view on what AI changes for technical talent: you understand that when execution gets cheap, influence and judgment become the scarce skills, and you can articulate what that means for how we develop the field - Deep understanding of how technical people learn and what actually shifts their behavior, not just how to transfer knowledge - Builder mentality: you default to building tools, AI workflows, and practice systems, not decks. You use AI tools as a daily force multiplier - Demonstrated ability to build programs from scratch (0-to-1). You see a blank page as an opportunity, not a problem - Experience working with senior leaders as a peer, with the backbone to challenge them when the data says the current approach isn't working - Scaling mindset: everything you build has to work for a 3,000-person technical field across AMER, EMEA, and APJ. You think about leverage and automation before live delivery - Exceptional communication and facilitation: you can run a room of senior SAs and make it worth their time, and write for an asynchronous global audience just as well - Fluency in executive engagement and strategic selling methodologies (Challenger, MEDDPICC, Value Selling, or similar), enough to teach them, not just name them Nice to Have - Experience at a high-growth infrastructure or SaaS company through a scaling inflection point - A technical background you can still draw on - you have enough platform depth to earn credibility with SAs and to teach influence in the context of real architecture and real deals - Background across both pre-sales and post-sales - you have lived the full customer lifecycle - Hands-on experience with Databricks or other data and AI platforms - Experience running executive engagement or C-level advisory programs - You have already used AI to build at scale - automating content creation, building internal tools, or shipping learning experiences faster than anyone expected 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 $217,800 - $299,400 USD Zone 2 Pay Range $196,000 - $269,500 USD Zone 3 Pay Range $185,100 - $254,550 USD Zone 4 Pay Range $174,200 - $239,600 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Leader of GTM Technical & Product Execution Excell...
Req ID: SLSQ227R500 About the Role: We are seeking a technically savvy, visionary leader that can partner with the SVP of Field Engineering (also a co-founder) and the broader leadership team of a 3,000-person global organization within Databricks. This is a rare opportunity to shape the future of a rapidly growing technology company by defining and executing strategies that drive scale, productivity, and technical excellence. This role is focused on several strategic outcomes critical for the future growth of Databricks: Shaping and driving the future of FE, Ensuring product execution at scale, Driving effective Delivery and Enablement execution, and being a company-first leader that can bridge across GTM and Product In this role, you will also help drive a high-performing, AI-driven builder culture, identifying ways to leverage AI, automation, and tooling to increase efficiency, improve decision-making, and enable teams to focus on the highest-impact work. This is a high-visibility, high-impact role for someone who thrives at the intersection of strategy, execution, and technical leadership. Successful Outcomes : - Strategic Business partner to our SVP, FE to shape the future of this function - OKRs/Metrics: Put in place OKRs, and metrics to measure performance - Strategic Planning & Execution: Partner with the SVP and leadership team to set long-term organizational strategy, drive critical initiatives, and ensure cross-functional alignment. Future Operating Models: Define, design, and test innovative operating models for the organization, deciding where to centralize, where to push accountability to BUs, and which initiatives to pilot - Ensure GTM Product Execution at scale - Provide key inputs on product planning, product target setting, and product resources to the central GTM planning team - Run the the inspection cadence and work across Product, Sales, Operations, FE teams to quickly resolve issues (e.g, pipeline, product gaps) - Proactively surface and address gaps both with regional teams and with product teams to improve execution - Drive Work with PS and Enablement leaders to ensure enablement and delivery excellence with the operations team - Work with key business stakeholders to shape PS and Enablement strategy (covers topics like FDE strategy, resourcing and hiring strategy) - Ensure Professional Services and Enablement operations scale with AI and Automation - Be a company-first leader: Brickers are awesome and need strong leadership and we expect leaders to be company-first and first-team - Leadership vision and clarity : Lead with vision, clarity, and do not be afraid to take the tough decisions AI-Driven Productivity & Innovation : Enable a builder-first, AI-first culture by identifying opportunities to leverage AI, tooling, and automation to improve productivity and impact across the org. - Cross-Functional Influence : Collaborate with Strategy and Operations teams, Product, Sales, Finance, People, and other teams to ensure strategic initiatives are executed effectively and priorities are aligned. - Organizational Insight & Experimentation : Use data, experience, and technical expertise to identify bottlenecks, test new approaches, and recommend solutions that optimize performance and growth. What We’re Looking For: - Deep technical understanding of field engineering organizations, enterprise solutions, and technology strategy, with the ability to assess and evolve end-to-end Field Engineering models. - 10+ years of experience in strategy, business operations, or technical leadership in high-growth technology companies. - Proven ability to define strategy and execute at scale in complex, technical organizations. - Experience running centralized technical or operational functions and influencing distributed teams. - Strong perspectives on leveraging AI, automation, and tooling to drive productivity, improve decision-making, and enable a builder-first culture. - Exceptional cross-functional collaboration and influence skills; comfortable working across Product, Sales, Finance, People, and technical teams. - Strong analytical, problem-solving, and experimental mindset; comfortable testing new approaches and iterating based on data and outcomes. - Excellent communication and presentation skills with both internal leaders and external partners. - Comfortable operating in ambiguity, balancing innovation with operational rigor, and driving accountability across large, complex organizations. Why Join: This is a highly visible, high-impact role at the center of a large, fast-growing global organization. You’ll have the opportunity to shape the strategic direction of the organization, work directly with a founder-SVP, and drive initiatives that fundamentally improve the effectiveness and scale of the business. This is a career-defining opportunity for a strategic leader who wants to operate at the forefront of organizational growth and transformation. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lead Engagement Manager, FDE - CMEG
CSQ427R242 The Lead Engagement Manager delivers measurable impact for our Communications, Media, Entertainment, & Gaming (CMEG) customers as well as at the Business Unit (BU) or Regional team level in the Forward Deployed Engineering organization. You will own and independently scope multi-quarter, highly complex initiatives to solve problems with no clear precedent, operating with high autonomy in high-stakes environments. The impact you will have: - Regional Impact: Drive excellence at the BU/Region level, contributing to team-level booking targets and consumption goals. - Complex Problem Solving: Navigate complex regional, regulatory, or market-specific complexities across multiple countries. - Mentorship: Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects. - Sales Strategy: Shape account strategy to align with client goals and lead the sales of complex Professional Services & Training (PS&T) offerings. - Strategic Relationships: Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements. What we look for: - 10+ years of leadership experience in Professional Services. - Expert-level understanding of PS&T offerings and the ability to customize solutions for complex environments. - Proficient thought leadership, increasingly viewed as an external expert in the industry. - Participate in the hiring process to attract top-tier talent. - Expertise in Databricks architecture, ecosystem, and strategic account planning. - Ability to travel up to 25-50% as required. 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 $178,800 - $245,850 USD Zone 2 Pay Range $161,000 - $221,300 USD Zone 3 Pay Range $152,000 - $209,000 USD Zone 4 Pay Range $143,000 - $196,700 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lead Adoption Architect - Agent Bricks
SLSQ426R506 Mission The Product Adoption Architect drives financial performance and field effectiveness for a Databricks’ product line. They will work closely with PMs teams and GTM teams to lay out the playbook, focus and execution on GTM actions for product priorities. They set the requirements and vision for product plays that can be amplified across the entire Field. Adoption Architects also works with product management to collect signals from the field and establish product-market-fit. They triage product escalations and represent the field perspective on strategic decisions. The adoption architect works with field leaders to create a strategy to hit their product specific targets, and create a community of embedded product leads (EPLs) across the field to drive behavior and accountability at the ground level. Outcomes - Create the strategy and definition of scalable, repeatable Product Programs. - Establish global plays (deliverables, resources, tracking, program management) that enable business units to execute plays and drive product line adoption. - Partner with BU leaders and EPLs to drive adoption of these programs and achieve meaningful $DBUs. . - Credibly partner with the PM to align roadmaps with play objectives and markets. - Prioritize customer blockers to maximize field impact of product development. - Proposed Metrics: - Measure 1: Product Line $DBUs at a company level and BU level. Competencies & Responsibilities - 10+ years of experience in the data analytics space to understand and prioritize product capabilities - Proven trusted advisor to technical executives that drive strategic data decisions. - Operationally minded and ability to design at a system level - Strong execution and ability to drive to outcomes in the face of ambiguity - Strong leadership skills - ability to coordinate with various roles across GTM and R&D that contribute toward product line adoption. 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 $264,000 - $363,000 USD 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 About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lakebase Specialist Sales
SLSQ327R384 Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have - Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. - Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. - Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. - Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. - Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. - Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. - Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. - Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. - Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: - Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. - Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: - Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. - Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. - Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present. - Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for - 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. - Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. - Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. - Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). - Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. - Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. - Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. - Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. - Bachelor’s degree or equivalent practical experience. Preferred qualifications - Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. - Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. - Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. - Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. - Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. - Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lakebase Specialist Sales
SLSQ327R369 Databricks is seeking a Lakebase Sales Specialist Account Executive in Melbourne to help customers modernise their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications , helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have - Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. - Lead with outcomes for key Lakebase personas — including platform teams and developers , data teams , and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. - Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. - Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. - Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. - Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. - Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. - Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. - Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: - Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. - Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: - Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. - Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. - Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present. - Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for - 7+ years of enterprise SaaS sales experience , consistently exceeding quota in complex, multi-stakeholder deals. - Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. - Strong understanding of modern data and application architectures , including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. - Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). - Demonstrated experience leading specialist or overlay motions , working jointly with core Account Executives to create and progress opportunities. - Executive presence with the ability to whiteboard architectures , lead C-level conversations, and build trust with senior decision makers. - Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. - Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. - Bachelor’s degree or equivalent practical experience. Preferred qualifications - Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services , ideally within large or strategic accounts. - Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. - Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. - Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. - Prior experience in a high-growth, category-creating environment , helping shape new plays, messaging, and customer narratives. - Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lakebase Specialist Sales
SLSQ327R370 Databricks is seeking a Lakebase Sales Specialist Account Executive in Sydney to help customers modernise their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications , helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have - Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. - Lead with outcomes for key Lakebase personas — including platform teams and developers , data teams , and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. - Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. - Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. - Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. - Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. - Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. - Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. - Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: - Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. - Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: - Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. - Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. - Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present. - Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for - 7+ years of enterprise SaaS sales experience , consistently exceeding quota in complex, multi-stakeholder deals. - Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. - Strong understanding of modern data and application architectures , including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. - Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). - Demonstrated experience leading specialist or overlay motions , working jointly with core Account Executives to create and progress opportunities. - Executive presence with the ability to whiteboard architectures , lead C-level conversations, and build trust with senior decision makers. - Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. - Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. - Bachelor’s degree or equivalent practical experience. Preferred qualifications - Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services , ideally within large or strategic accounts. - Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. - Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. - Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. - Prior experience in a high-growth, category-creating environment , helping shape new plays, messaging, and customer narratives. - Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lakebase Sales Specialist (UKI)
SLSQ327R361 Databricks is seeking multiple Lakebase Sales Specialists (UKI) to help customers modernize their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications , helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. This role is based in London, United Kingdom (flexible within the UK for the right candidate), and will cover customers in the UK and Ireland. The impact you will have - Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. - Lead with outcomes for key Lakebase personas — including platform teams and developers , data teams , and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. - Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. - Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. - Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. - Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. - Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. - Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. - Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: - Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. - Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: - Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. - Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. - Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. - Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for - 7+ years of enterprise SaaS sales experience , consistently exceeding quota in complex, multi-stakeholder deals. - Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. - Strong understanding of modern data and application architectures , including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. - Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). - Demonstrated experience leading specialist or overlay motions , working jointly with core Account Executives to create and progress opportunities. - Executive presence with the ability to whiteboard architectures , lead C-level conversations, and build trust with senior decision makers. - Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. - Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. - Bachelor’s degree or equivalent practical experience. Preferred qualifications - Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services , ideally within large or strategic accounts. - Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. - Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. - Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. - Prior experience in a high-growth, category-creating environment , helping shape new plays, messaging, and customer narratives. - Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lakebase Sales Specialist - Retail
Lakebase Sales Specialist (Retail, Consumer Goods, Travel & Hospitality) While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are hiring for multiple roles. Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives within our Retail vertical to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications , helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have - Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. - Lead with outcomes for key Lakebase personas — including platform teams and developers , data teams , and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. - Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. - Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. - Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. - Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. - Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. - Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. - Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: - Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. - Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: - Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. - Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. - Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. - Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for - 7+ years of enterprise SaaS sales experience , consistently exceeding quota in complex, multi-stakeholder deals. - Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. - Strong understanding of modern data and application architectures , including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. - Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). - Demonstrated experience leading specialist or overlay motions , working jointly with core Account Executives to create and progress opportunities. - Executive presence with the ability to whiteboard architectures , lead C-level conversations, and build trust with senior decision makers. - Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. - Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. - Bachelor’s degree or equivalent practical experience. Preferred qualifications - Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services , ideally within large or strategic accounts. - Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. - Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. - Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. - Prior experience in a high-growth, category-creating environment , helping shape new plays, messaging, and customer narratives. - Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. 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 $292,500 - $402,150 USD Zone 2 Pay Range $292,500 - $402,150 USD Zone 3 Pay Range $292,500 - $402,150 USD Zone 4 Pay Range $292,500 - $402,150 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lakebase Sales Specialist - MEA
SLSQ327R368 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications , helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have - Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. - Lead with outcomes for key Lakebase personas — including platform teams and developers , data teams , and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. - Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. - Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. - Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. - Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. - Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. - Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. - Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: - Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. - Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: - Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. - Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. - Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. - Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for - Proven enterprise SaaS sales experience , consistently exceeding quota in complex, multi-stakeholder deals. - Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. - Strong understanding of modern data and application architectures , including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. - Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). - Demonstrated experience leading specialist or overlay motions , working jointly with core Account Executives to create and progress opportunities. - Executive presence with the ability to whiteboard architectures , lead C-level conversations, and build trust with senior decision makers. - Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. - Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. - Bachelor’s degree or equivalent practical experience. Preferred qualifications - Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services , ideally within large or strategic accounts. - Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. - Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. - Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. - Prior experience in a high-growth, category-creating environment , helping shape new plays, messaging, and customer narratives. - Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lakebase Sales Specialist (Enterprise UKI)
SLSQ327R354 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have: - Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. - Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. - Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. - Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. - Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. - Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. - Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. - Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. - Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation. What we look for: - Extensive enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. - Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. - Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. - Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). - Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. - Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. - Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. - Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. - Bachelor’s degree or equivalent practical experience. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: - Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. - Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: - Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. - Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. - Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present. - Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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