Search AI Jobs
16,591 published AI roles — filter by keyword, skill, seniority or contract type.
16,591 results
Updated
Senior Customer Enablement AI Programs Manager
CSQ426R319 Senior Customer Enablement AI Programs Manager As a Senior Customer Enablement AI Programs Manager, you will own the AI strategy and roadmap for the Scaled Customer Enablement Agent Suite — bringing together GTM activation, applied AI, and enablement strategy. You will define how the agents retrieve, reason over, and surface enablement insights to global Account Teams, turning learner and account data into prescriptive, just-in-time recommendations that improve account health and grow the number of trained users across our customer base. By automating GTM processes, you will ensure Account Teams and customers receive consistent Databricks enablement planning resources. You will be responsible for driving the AI roadmap for customer enablement, compounding enablement as a strategic leverage for our customers and for Databricks. This role will report to the Global Customer Enablement Practice Senior Director. This is an exciting opportunity for a motivated and innovative entrepreneur with a passion for working across departments and across regions. The impact you will have: - Own the product roadmap and architecture direction for the Scaled Customer Enablement Agent Suite — defining the data inputs, retrieval sources, and agent behaviors that generate enablement recommendations. - Lead the rollout and drive field adoption of the Scaled Customer Enablement Agent Suite, delivering automated learning insights and proposals to Account Teams. - Structure the enablement knowledge base for retrieval — designing content schemas, metadata, and chunking so agents return accurate, grounded outputs — and maintain the underlying customer enablement playbook. - Define the signals and triggers — usage patterns, learning milestones, and account-health thresholds — that prompt the agents to surface a free-to-paid enablement opportunity to Account Teams at the right moment. - Partner with technical teams to embed enablement calls-to-action and insights directly into field tools. - Define predictive signals and analytics that flag emerging account-health and skills gaps before they impact renewals or consumption, and integrate these into leadership reviews and manager coaching toolkits. - Establish evaluation and quality loops for agent outputs — defining what “good” looks like, measuring accuracy and groundedness, and driving iteration with the technical team. What we look for - 6+ years of experience in Sales Enablement, GTM Program Management, or Sales Operations in a high-growth SaaS environment. - Proven track record of managing complex workstreams and delivering global field motions with measurable adoption. - Hands-on fluency with modern AI systems — RAG pipelines, agents, and LLM-powered workflows. You understand how retrieval sources, prompt design, context and data hierarchies, and grounding affect output quality, and can translate that into requirements a technical team can build against. - Demonstrated experience owning a product or system area end to end — defining requirements, collaborating with engineering and data teams, and shipping AI-powered capabilities from concept to field adoption. - Comfort defining metrics and running experiments — instrumenting agent performance, measuring output quality and field adoption, and using analytics to drive iteration. - Exceptional ability to work cross-functionally across Sales, Marketing, and Technical teams to ensure a unified enablement vision. - Expert at using data dashboards to track progress and communicate the "business story" behind the numbers (e.g., the link between enabled users and consumption lift). - Able to solve ambiguous problems in a fast-moving environment and translate complex strategies into simple, executable field instructions. - Familiarity with the education technology or customer training landscape is a significant plus. - Familiarity with how enablement and knowledge content must be structured for machine consumption (schemas, metadata, modularity) is a strong plus. 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 $117,400 - $161,350 USD Zone 2 Pay Range $105,600 - $145,200 USD Zone 3 Pay Range $99,800 - $137,150 USD Zone 4 Pay Range $93,900 - $129,150 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.
Senior Applied ML Engineer - ML4Sys
RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have - Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. - Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support - Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. - Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. - Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale - Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications - Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). - ML Experience: Strong background in building, training, and deploying machine learning models in production. - Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. - Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills - Advanced Education: PhD in AI, Data Science, or a related technical discipline. - Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. - Systems Domain: Strong understanding of computer architecture, distributed computing, cloud compute, database internals, or networking. - Optimization: Experience with operations research, forecasting, markov decision processes, or other optimization algorithms for sequential decision making. - Scale: Proven track record of optimizing large-scale distributed systems or cloud infrastructure via data-driven approaches. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $166,000 - $210,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Applied AI Engineer
P-1439 As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recommendations, either classical or based on deep learning. From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible. This is a high-impact problem as our customers look at us to deliver the most out of their data. The impact you will have: - Build features and run end-to-end systems in a small team of experienced engineers and data scientists. - Shape the direction of our applied ML investment by engaging with engineering and product teams across the company. - Drive the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services. - Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments. - Work on novel modeling techniques in the field of ML for forecasting. - Possibilities to contribute to the broader AI community by presenting at conferences and actively participating in open source projects, enhancing Databricks’ reputation as an industry leader. What we look for: - 2-8 years of machine learning engineering experience in high-velocity, high-growth companies - Strong understanding of both computer systems and statistics - Experience developing AI/ML systems at scale in production - Strong track record of ML modeling that goes beyond using standard libraries. - Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment. - A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML. - Nice to have: experience deploying, scaling, and monitoring models in production; understanding of the unique infrastructure challenges posed by training and serving predictions in Tier 0 environments. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts. If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you! 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.
SDR
SLSQ327R657 As a Sales Development Representative at Databricks, you'll manage your queue of inbound leads, researching them on the internet, calling them to understand their needs, qualifying their interest, and creating opportunities for Account Executives. You will learn to understand the important needs of our prospects and communicate the core values of the Databricks platform with the goal of scheduling a discovery call with them. You will be eager to grow in our organization by demonstrating their ability to be tenacious self-starters every day. We're looking for goal-driven, team-centric professionals who demonstrate a high level of discipline, curiosity, and grit. The impact you will have: - Manage a high volume of inbound leads with a strategy to prioritize those leads - Research and understand the needs of various lines of business and target personas - Identify technical pain points in prospects' current Data + AI solutions and connect to value - Learn how to anticipate and overcome objections - Build credibility and trust with partners - Demonstrate adaptability and flexibility as part of an ever-growing sales organization What we look for: - 1 year of professional work experience - Clear written and verbal communication skills - Excellent organization skills and ability to prioritize in a fast-paced environment - Self-motivated individual with a history of meeting goals - Motivated by purpose and winning with a team-first attitude - Genuine curiosity in the Cloud, big data and ML/ AI space - Bachelor's degree 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.
SAP Functional SME
GAQ126R41 About Databricks At Databricks, our mission is to help data teams solve the world's toughest problems—and that begins with empowering our own employees with exceptional internal products. The Databricks IT organization is a product-led engineering team building intelligent, AI-powered platforms that simplify how work gets done across the company. For Finance, our vision is to eliminate manual, repetitive work by automating complex business processes, surfacing actionable insights, and orchestrating end-to-end workflows. We are reimagining finance operations so teams spend less time processing transactions, chasing approvals, and resolving exceptions, and more time delivering strategic insights that accelerate the business. We're looking for an SAP Functional SME to own the functional design of our core finance processes on S/4HANA and to shape how AI and agentic automation reimagine them. In this role, you'll be the deep functional authority for your domain—translating how the business actually runs into standard, clean-core S/4HANA solutions, using process intelligence to find what's broken, and defining where AI belongs in a controlled, auditable process . You'll work at the intersection of SAP and AI, bridging Finance and Engineering to deliver a simpler, smarter, more automated experience. The Opportunity SAP will serve as the foundation for Databricks' core finance processes, including Record-to-Report, Source-to-Pay, and Order-to-Cash. As the SAP Functional SME, you'll own the functional blueprint for those processes—leading discovery and AS-IS/TO-BE design, configuring S/4HANA, and defining the requirements for the intelligent, agentic layer that automates routine work and guides users through exceptions and approvals. You'll use process mining and business process intelligence to quantify opportunity and prioritize what to build, and you'll make the call on where AI-driven recommendations belong versus deterministic rules. Your mission is to combine deep functional expertise with the power of Databricks AI to create a modern, highly automated finance experience that lets the business scale. What You'll Do - Own Functional Design: Lead end-to-end process discovery and AS-IS/TO-BE design for major finance processes (Record-to-Report, Source-to-Pay, Order-to-Cash), define S/4HANA solution scope, and design to standard, clean-core capabilities wherever possible. - Configure S/4HANA: Own functional configuration, business rules, and master-data strategy for your domain, and partner with developers on extensions, APIs, and orchestration where standard functionality falls short. - Drive Process Intelligence: Use process mining and business process intelligence (leveraging SAP Process Intelligence and related tools) to identify root causes, quantify opportunity, and prioritize improvements; translate those findings into concrete S/4HANA requirements. - Shape the AI & Agentic Layer: Define the requirements for AI-assisted and agentic process improvements—task automation, intelligent recommendations, anomaly detection, and generative assistants—and make clear judgments about where AI belongs in a controlled, auditable process, where human-in-the-loop is required, and where a deterministic rule is the better answer. - Bridge Business and Engineering: Serve as the connective tissue between Finance process owners and the engineering pods, partnering with architects and developers to embed AI safely and to define the data flows between S/4HANA, process intelligence tools, SAP BTP, and Databricks AI. - Run Workshops and Validate Value: Facilitate stakeholder workshops to validate business value, define acceptance criteria, and lead user acceptance testing for both functional and AI features. - Measure Outcomes: Define KPIs and track ROI for process improvements—cycle time, touchless transaction rate, exception and manual-touch reduction, adoption—and build the business cases for prioritized automation and AI initiatives. - Enable Adoption: Coach and upskill process owners and functional teams on process intelligence, best practices, and AI adoption, and drive readiness and change management for what you ship. What You Bring - 6+ years of SAP functional consulting experience , with hands-on delivery across at least one full S/4HANA lifecycle and deep expertise in one or more finance domains—Record-to-Report, Source-to-Pay, or Order-to-Cash—plus working fluency in adjacent areas and in master-data governance. - Process Intelligence: Demonstrated experience leading process discovery, process mapping, and process mining using SAP Process Intelligence or equivalent BPI tools, and translating mining outputs into solution requirements. - Clean-Core Mindset: Strong bias toward standard, clean-core S/4HANA design, with sound judgment about when a requirement genuinely warrants an extension versus a change in process. - AI & Agentic Automation: Practical experience applying Databricks AI and agentic capabilities to enterprise processes, with strong judgment on where AI can drive automation and decision support while maintaining appropriate governance, controls, auditability, and human oversight. - Integration Awareness: Solid understanding of integration patterns (APIs/OData, IDoc, SAP Integration Suite / BTP) and the data requirements that feed process mining and AI models. - Governance Rigor: Working knowledge of SAP authorizations, SoD, SOX and audit requirements, and the ability to design processes and automation that satisfy them. - Stakeholder Leadership: Excellent workshop facilitation, stakeholder management, and change-management skills, and the ability to present executive-level ROI and translate technical capability into measurable business value. - Business-First Mindset: Pragmatic, outcome-driven approach to reducing process waste and risk, and comfort leading through ambiguity across complex business and IT landscapes. Preferred Qualifications - SAP S/4HANA Associate or Professional certification for a relevant module, and SAP Activate methodology experience. - Certification or training in SAP Process Intelligence, or experience with Celonis or other process mining vendors. - Hands-on experience delivering at least one AI-assisted process improvement in production. - Familiarity with the SAP AI and extension stack (BTP, AI Core, Joule) and a point of view on build-versus-adopt tradeoffs against a Databricks-native approach. - Experience working alongside data teams to make ERP data usable for analytics and AI on modern data platforms (such as Databricks), and prior work in a high-growth technology company where ERP had to scale quickly. 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.
Sales Specialist - Lakebase
SLSQ427R256 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 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.
Sales Leader, Emerging Enterprise
P-1508 We are looking for a Sales Leader to join our outstanding sales organization. You will be responsible for overseeing and motivating a team of Account Executives focused on selling to customers across the Emerging Enterprise business ($250M-$1B in revenue). You will be measured by your team’s overall quota attainment, new business acquisition, and expansion into existing customer accounts. This is a team of motivated sellers, so we are looking for someone who is comfortable leading teams and loves developing Account Executives into rising stars. The impact you will have: - Promote Revenue Success: Build and exceed your teams quarterly/annual sales targets - Build and Implement Strategic Plans: Develop and execute evolving revenue plans and growth tactics - Create Trust-Based Relationships: develop long term customer, partner, and cross-functional relationships - Distill Customer Needs and Value: Help your team to understand commercial goals of your customer and how they relate to our value proposition - Manage the Voice of Databricks: Lead your team to communicate the value proposition through proposals and presentations What we look for: - 5+ years high-growth Cloud/Data & AI leader with experience leading a field sales team. - 3+ years of experience translating a highly technical product into quantified business value for the C-Suite. - 3+ years of experience selling against open source or freemium. - Demonstrated track record delivering working towards personal and team goals while to up-level your process - Ability to influence, develop, and empower employees to achieve personal objectives with a team first mindset - Coach and develop sales fundamentals to Account Executives including and not limited to prospecting, forecasting, and negotiation tactic - Excellent written and verbal communication skills and experience presenting to the C Suite. - Willing to travel ( 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.
Sales Director, Lakebase Sales Specialist - South...
SLSQ227R827 Sales Director, Lakebase Sales Specialists - South EMEA We are looking for a highly strategic and execution-oriented Sales Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - Proven experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - Experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills in French and in English. 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.
Sales Dev AI Program Manager
SLSQ327R270 The Sales Dev AI Programs Team works directly with Databricks' Sales Development and Sales leadership to architect the world's elite top-of-funnel engine, empowering every xDR and AE with the prospecting tools and programs to convert market potential into predictable revenue. We sit at the intersection of strategy, AI, and the field, and we own the programs that turn scaled, AI-native prospecting from an experiment into the operating standard. We are looking for a Sales Dev AI Program Manager to own outcomes and inspection, metric design, measurement and reporting, governance, benchmarking, enablement, content strategy, and change management for an AI-first prospecting program that touches the entire go-to-market organization. In this role, you will design and run the operating mechanisms that make the Scaled AI program work, executive cadences and risk oversight, prioritization with BDR managers and FLMs, sequence governance across AI and legacy Outreach, and the reporting and inspection that tells us what's working and what isn't. You deliver the day-to-day program management with exceptional rigor and never lose sight of how an AI-native prospecting model should be built from first principles. Alongside Sales Dev leadership, you'll partner across AI Ops, Strategy Ops, Sales Programs, Marketing Ops, Enablement, GTM Analytics, and external technology partners to drive adoption, close the loop on user signals, and continuously raise the bar on program performance. The ideal candidate is a self-starter with endless curiosity who can work cross-functionally to tackle complex problems end-to-end. We're looking for someone who is AI-fluent, operationally rigorous, strategic about how high-volume prospecting should operate, and biased toward redesigning workflows from first principles rather than maintaining legacy ones. This is a unique opportunity to define what scaled, AI-native prospecting looks like at one of the fastest-growing companies in tech, and to set the blueprint for the industry. The impact you'll have - Own the Programs pillar for one of our four BUs, including outcomes & inspection, metric design, measurement & reporting, governance, benchmarking, enablement, content strategy, and change management. - Co-run executive cadences and risk oversight: deliver regular updates to leadership on program health, pipeline pacing, and adoption, and surface risks early. - Drive prioritization and alignment: run regular cadences with Sales Dev and Sales leaders to get feedback, prioritize and operate programs (SPIFs, contests, reporting reviews). - Own reporting and inspection: build the data foundation and executive- and field-facing reporting that explains what works and what doesn't across sequences, tactics, and segments. - Own sequence governance: standardize and audit Outreach sequences (AI and legacy) with central design plus a monthly efficacy review. - Build community and adoption: turn passive users into advocates (AI Prospecting Council, advisory boards, personifying the agents, meeting users where they work) and drive field alignment, readiness, and adoption. - Co-own field experience, and alignment with AI Ops, and partner across Sales Ops, Strategy Ops, Marketing Ops, Enablement, GTM Analytics, and IT. - Be a force multiplier: bring fresh thinking to old problems, build AI-powered toolkits that scale, and raise the technical bar for the whole team. What we look for - AI fluency is non-negotiable. You use AI tools as part of your daily workflow as a multiplier. - Strong preference for a "built something where there wasn't anything" background. Ideal profiles include program or GTM strategy at a hyper-growth company, sales development / prospecting program ownership, chief of staff at a growth-stage startup, and former consultants with operational experience. We want people who thrive where the playbook didn't exist yet, and built it. - Exceptional attention to detail & data-integrity instinct. This role requires consistent, high-quality operational delivery: accurate exec-facing work, on-time delivery, status integrity, zero-defect output. You spot discrepancies, trace them to root causes, and won't ship a number you can't defend. - Program ownership orientation. You want to do the operational parts of the job, not just architect them. - Strategic mind for high-volume prospecting. You bring a perspective on how scaled coverage, AI pilots, partner-led motions, and programmatic engagement should operate and you want to redefine the prospecting operating model, not maintain it. - Comfort with ambiguity. This role doesn't come with a complete playbook. The right candidate is energized by that, not destabilized. - Strong technical depth including SQL, comfort with newer data tools (Databricks SQL, Genie, custom agents) and willingness to learn fast. - "Get it done" attitude with the ability to architect program strategy AND operationalize it with high attention to detail. - Excels in a collaborative environment with a high degree of honesty, integrity, and sound judgment. You document and teach what you build. - Excellent spoken and written communication. Comfortable presenting to leaders regularly. You produce leader-ready decks, exec summary docs, and quantitative business cases. What this role isn't - Not a pure strategy role. If you want to think but not execute, this isn't the right role. The operational parts of the job, cadences, reporting, governance, aren't optional. - Not a maintain-the-current-model role. We need someone who will challenge how prospecting operates in the age of AI and rebuild it from first principles. - Not a role for someone uncomfortable with volume, ambiguity, or pace. The program touches the entire sales-development org, and the operating tempo reflects that. 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.
Sales Compensation Manager
Overview: The Sales Compensation Manager (L6) leads complex compensation operations workstreams that drive reliability, scalability, and risk reduction across the sales compensation function. You will own end-to-end commission administration for a large payee portfolio, ensuring flawless execution across payroll submissions, SOX compliance, exception management, and stakeholder delivery, operating at the frontier of what AI and modern tooling make possible so that automation is embedded by default, not bolted on. Operating with a 6–12 month horizon, you’ll independently scope and solve moderately complex problems, influence Directors and Sr. Directors, and raise the bar for the team through mentorship, enablement, and operational discipline with strong automation. The impact you will have: - Own end-to-end sales compensation administration for a large payee portfolio with full accountability for accuracy, timeliness, SOX compliance, and high-quality execution across participant setup, plan distribution, calculation, payment readiness, and payroll submission. - Lead payroll submission for one or more GEOs with 100% accuracy, timeliness, and SOX compliance, including zero-pay confirmations, audit checkpoints, and evidence completeness across controls. - Proactively detect anomalies and apply conservative holds to prevent overpayment; operationalise Exception Committee items with traceable implementation and reduced exception cycle time, leveraging AI-powered anomaly detection and predictive payment risk scoring to identify issues before they reach payroll. - Validate data across source-of-truth systems (Xactly, SFDC, HRIS, Anaplan, etc.), investigate issues such as incorrect credits, quota misalignments, and payout exceptions, and deliver actionable recommendations to leadership, deploying agentic validation workflows and LLM-based solutions to reduce manual reconciliation and improve decision quality. - Lead large or moderately ambiguous projects independently, balancing multiple priorities, defining clear ownership across contributors, and creating repeatable inspection mechanisms (dashboards, check-ins, trackers) that consistently deliver outcomes on time. - Influence business partners across Sales Ops, Rev Ops, Payroll, HR, Legal, Accounting, Finance, etc. by framing decisions in terms of field experience, risk, and audit compliance, acting as the trusted first point of contact in escalation paths. - Own and advance the team’s automation roadmap, driving adoption of AI across commission operations workflows, including intelligent anomaly detection, AI-assisted exception triage, automated evidence generation, and agentic validation of data across source systems, identifying where AI creates real leverage and building repeatable operating rhythms, standardized SOPs, and audit-ready documentation that improve quality, speed, and consistency while reducing execution risk. - Enable the team through templates, playbooks, evidence packs, and exception trackers, mentoring analysts (including offshore resources) to raise execution quality beyond individual scope. What we look for: - 10+ years of end-to-end sales compensation administration and commissions system operations, spanning payroll submissions, SOX control operations, exception modelling/recalcs, and stakeholder deliverables. - Advanced proficiency with Xactly (administration, configuration, reporting, troubleshooting) and Excel/Google Workspace for complex modelling, analysis, and insight generation. - Strong data validation skills across source-of-truth systems (SFDC, HRIS, Anaplan, etc.) with demonstrated ability to detect anomalies, perform complex commission modelling, and translate findings into clear recommendations. - Demonstrated program management experience across payroll and compliance/exception workflows, able to set and run cadences, produce audit evidence packs, define escalation paths, and maintain continuous audit readiness. - Understanding of SaaS go-to-market compensation models, including quotas, OTI, accelerators, overlays, SPIFFs, MBOs, and how plan mechanics influence seller behaviour. - Ability to influence cross-functional partners (Sales Ops, Rev Ops, Payroll, HR, Legal, Accounting, Finance, etc.) by proposing trade-offs, framing risk, and driving shared outcomes without direct authority. - Proven ability to bring structure to ambiguity, scoping complex problems, balancing speed with rigour, and delivering consistent, control-minded execution with minimal oversight. - Comfort prompting and evaluating LLMs as part of daily work, with a practical point of view on where AI creates real leverage in compensation operations versus where human judgment remains essential. Experience deploying AI or automation solutions, whether through vendor tooling, custom workflows, or agentic systems, to measurably improve speed, accuracy, or coverage. Partners with internal AI tooling teams to identify and deploy solutions that reduce manual work and scale the function. - The role requires maintaining a consistent 3–4 hour overlap with U.S. Pacific Time (PST) during your workday. 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.
RVP, Retail
Req ID: SLSQ327R407 Title: RVP, Retail Location: United States Mission: We are looking for a strategic Regional Vice President to lead our Retail team in North America. You will lead an agile team of Directors and their Enterprise Account Executives, measured by achieving overall team quota, new logo acquisition, and expanding Databricks adoption across the most strategic retail customers in North America. This team is passionate about building a modern data and AI ecosystem across the industry and helping customers and partners succeed. You will report to the Vice President of Retail in North America. What you will do: - Build and lead a team of talented Directors and Enterprise Account Executives to drive growth across strategic and emerging markets within the Retail industry. - Inspire a culture of teamwork, customer value, and measurable business outcomes. - Develop trusted relationships with customers and partners to support long-term growth and success across North America. - Foster continuous learning and a strong understanding of Databricks’ technical capabilities and future product roadmap. - Lead North American Enterprise growth planning while ensuring forecast accuracy and a predictable, high-growth business. - Scale and accelerate sales through data consumption models and AI-driven business transformation initiatives. - Help customers drive innovation, operational efficiency, and revenue growth by leveraging the Databricks Data Intelligence Platform. What we look for: - You have the desire to build a collaborative, inspired team culture - You live our core values: customer obsession, teamwork makes the dream work, own it, and let the data decide! - Experience building a high-growth sales team serving enterprise customers within North America within the big data, Cloud, or SaaS Sales Industry - History of exceeding sales quotas in similar high-growth Enterprise software companies. - Understanding of value selling and structured methodologies e.g. MEDDPICC, Challenger, Command of Message. - Knowledge of developing the partner ecosystem to help grow strategic enterprise territories. - Success implementing strategies for usage and booking-based sales revenue 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.
Retail & Consumer Goods EMEA Leader
Job Title: Retail and Consumer Goods EMEA Leader Req ID: SLSQ127R516 This is not a role for someone who wants to inherit a playbook. As the Go-to-Market Leader for EMEA Retail & Consumer Goods, you will architect and execute a category-defining strategy from the ground up. You'll operate with the mindset of a founder of a hyper-growth enterprise—a rare opportunity that demands entrepreneurial instincts, relentless drive, and the courage to build in ambiguity. Databricks is scaling at extraordinary speed. Databricks is the market share leader in data + AI in Retail & Consumer Goods, and this vertical represents one of the most significant growth opportunities in our portfolio. We need a leader who thrives in white space, who sees undefined territory not as risk but as canvas. You will shape how EMEA's largest retailers and consumer brands harness Data and AI to transform their operations, unlock new revenue streams, and reimagine customer experiences. You will report to the Global VP of Consumer Industries, but your impact will extend across the entire organization—influencing product direction, shaping partner ecosystems, and setting the strategic agenda for one of our most consequential markets. The impact you will have: - A Scalable EMEA Growth Engine Design and execute a go-to-market strategy that doesn't yet exist in its final form. You'll establish C-level relationships with flagship accounts, construct an ecosystem of ISVs, SIs, and alliance partners, and create repeatable motions that accelerate revenue growth across Retail, Consumer Goods, Restaurants, and Wholesale. - Programmatic Opportunity Capture Identify the highest-value use cases and industry-specific opportunities—demand forecasting, unified customer intelligence, supply chain optimization, real-time pricing—and build scalable programs that systematically convert these opportunities into revenue. You won't pursue targets one at a time; you'll construct the engines, assets, and activation frameworks that allow us to capture entire categories of opportunity across the region simultaneously. - A Partner Ecosystem from First Principles Identify, cultivate, and scale relationships with the partners who will amplify our reach. This isn't about managing existing relationships—it's about seeing what partnerships should exist and making them real. - Data-Driven Operational Excellence Use rigorous analysis to surface gaps, inefficiencies, and untapped opportunities within our go-to-market approach. Build the feedback loops and improvement mechanisms that compound our effectiveness over time. - Sales Plays That Travel Create comprehensive, scalable sales initiatives tailored to EMEA's diverse geographies while contributing frameworks that support Americas and APJ. You'll work cross-functionally to ensure these plays move from concept to revenue. - Industry Thought Leadership Establish Databricks as the authoritative voice in Retail & Consumer Goods transformation. Author white papers, command stages at premier industry events, and engage C-suite executives with a point of view that shapes how the market thinks about Data and AI. - Cross-Functional Influence Serve as a trusted advisor across product, sales, pre-sales, marketing, and partner teams. Your credibility will be earned through results, and your influence will extend far beyond your formal remit. - Market-Defining Content Collaborate with marketing to develop industry-specific collateral, demand generation campaigns, and event strategies that resonate with sophisticated enterprise buyers. - Sales Team Acceleration Build enablement content and coaching programs that elevate the entire verticalized sales organization—making others more effective is as important as your direct contributions. What we look for: - An Industry Insider with Builder DNA You've held senior leadership or practitioner roles in Retail or Consumer Goods. You understand the industry's challenges from the inside—but you're energized by building something new rather than optimizing what exists. - Entrepreneurial by Nature You've operated in environments where the path wasn't paved. You're comfortable making decisions with incomplete information, moving quickly, and course-correcting based on market feedback. Ambiguity is where you do your best work. - A GTM Architect You have extensive experience constructing vertical go-to-market programs on technology platforms, working cross-functionally to deliver measurable revenue growth and customer value. - An Executive Relationship Builder You engage naturally with CXOs and senior business leaders. You create trust through substance, not just polish, and you know how to translate technical capability into strategic business value. - A Transformation Leader You've led large-scale change initiatives and understand both the technical and human dimensions of enterprise transformation in complex organizations. - Technically Fluent You possess deep familiarity with the data and AI landscape, retail technology standards, and the broader ecosystem trends reshaping the industry. - Regulatory Aware You understand the European regulatory environment—GDPR, Greenhouse Gas Compliance, food waste, sustainability reporting—and can navigate these considerations in strategic conversations. - A Program Operator You've managed complex vertical initiatives end-to-end: gathering requirements, coordinating technical teams, driving marketing alignment, and managing partner relationships to hit milestones. - A Force Multiplier You have proven ability to train and enable sales teams, making the entire organization more effective at positioning solutions to Retail & Consumer Goods customers. Multilingual Fluent in English with strong proficiency in French or German. 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.
Retail & Consumer Goods APAC Leader
SLSQ427R275 This is not a role for someone who wants to inherit a playbook. As the Go-to-Market Leader for APAC Retail & Consumer Goods, you will architect and execute a category-defining strategy from the ground up. You'll operate with the mindset of a founder of a hyper-growth enterprise—a rare opportunity that demands entrepreneurial instincts, relentless drive, and the courage to build in ambiguity. Databricks is scaling at extraordinary speed. Databricks is the market share leader in data + AI in Retail & Consumer Goods, and this vertical represents one of the most significant growth opportunities in our portfolio. We need a leader who thrives in white space, who sees undefined territory not as risk but as canvas. You will shape how APAC’s largest retailers and consumer brands harness Data and AI to transform their operations, unlock new revenue streams, and reimagine customer experiences. You will report to the Global VP of Consumer Industries, but your impact will extend across the entire organization—influencing product direction, shaping partner ecosystems, and setting the strategic agenda for one of our most consequential markets. The impact you will have - A Scalable APAC Growth Engine Design and execute a go-to-market strategy that doesn't yet exist in its final form. You’ll establish C-level relationships with flagship accounts, construct an ecosystem of ISVs, SIs, and alliance partners, and create repeatable motions that accelerate revenue growth across Retail, Consumer Goods, Restaurants, and Wholesale. - Programmatic Opportunity Capture Identify the highest-value use cases and industry-specific opportunities—demand forecasting, unified customer intelligence, supply chain optimization, real-time pricing—and build scalable programs that systematically convert these opportunities into revenue. You won't pursue targets one at a time; you'll construct the engines, assets, and activation frameworks that allow us to capture entire categories of opportunity across the region simultaneously. - A Partner Ecosystem from First Principles Identify, cultivate, and scale relationships with the partners who will amplify our reach. This isn't about managing existing relationships—it's about seeing what partnerships should exist and making them real. - Data-Driven Operational Excellence Use rigorous analysis to surface gaps, inefficiencies, and untapped opportunities within our go-to-market approach. Build the feedback loops and improvement mechanisms that compound our effectiveness over time. - Sales Plays That Travel Create comprehensive, scalable sales initiatives tailored to APAC’s diverse geographies while contributing frameworks that support Americas and EMEA. You'll work cross-functionally to ensure these plays move from concept to revenue. - Industry Thought Leadership Establish Databricks as the authoritative voice in Retail & Consumer Goods transformation. Author white papers, command stages at premier industry events, and engage C-suite executives with a point of view that shapes how the market thinks about Data and AI. - Cross-Functional Influence Serve as a trusted advisor across product, sales, pre-sales, marketing, and partner teams. Your credibility will be earned through results, and your influence will extend far beyond your formal remit. - Market-Defining Content Collaborate with marketing to develop industry-specific collateral, demand generation campaigns, and event strategies that resonate with sophisticated enterprise buyers. - Sales Team Acceleration Build enablement content and coaching programs that elevate the entire verticalized sales organization—making others more effective is as important as your direct contributions. What we look for - An Industry Insider with Builder DNA You've held senior leadership or practitioner roles in Retail or Consumer Goods. You understand the industry's challenges from the inside—but you're energized by building something new rather than optimizing what exists. - Entrepreneurial by Nature You've operated in environments where the path wasn't paved. You're comfortable making decisions with incomplete information, moving quickly, and course-correcting based on market feedback. Ambiguity is where you do your best work. - A GTM Architect You have extensive experience constructing vertical go-to-market programs on technology platforms, working cross-functionally to deliver measurable revenue growth and customer value. - An Executive Relationship Builder You engage naturally with CXOs and senior business leaders. You create trust through substance, not just polish, and you know how to translate technical capability into strategic business value. - A Transformation Leader You've led large-scale change initiatives and understand both the technical and human dimensions of enterprise transformation in complex organizations. - Technically Fluent You possess deep familiarity with the data and AI landscape, retail technology standards, and the broader ecosystem trends reshaping the industry. - Regulatory Aware You understand key APAC regulatory environments—such as data privacy, payments, sustainability, and sector-specific compliance—and can navigate these considerations in strategic conversations. - A Program Operator You've managed complex vertical initiatives end-to-end: gathering requirements, coordinating technical teams, driving marketing alignment, and managing partner relationships to hit milestones. - A Force Multiplier You have proven ability to train and enable sales teams, making the entire organization more effective at positioning solutions to Retail & Consumer Goods customers. 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.
Real Estate Strategic Planning Lead
GAQ327R256 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is seeking a Real Estate Strategic Planning Lead to join our Real Estate & Workplace Services (REWS) team. Reporting to Global Real Estate Strategy & Transactions, this highly visible and impactful role will be responsible for portfolio planning, scenario planning, and portfolio optimization across Databricks’ global real estate portfolio. The role will support executive decision-making through strategic analysis, financial modeling, and business case support to inform key real estate decisions. The impact you will have: - Partner with Finance and Real Estate Leadership to maintain REWS long-range portfolio plan - Create and maintain flexible portfolio models and manage complex scenario planning initiatives - Develop portfolio optimization recommendations aligned with business growth, financial objectives, and employee experience - Conduct financial, operational, and portfolio analyses to support strategic real estate decision-making - Support development of executive-ready business cases, presentations, and strategic recommendations - Translate complex portfolio tradeoffs into clear, data-driven insights and actionable recommendations - Develop and maintain recurring portfolio reporting, dashboards, and key performance metrics - Conduct ad hoc analyses and decision support for high-priority REWS cross-functional initiatives - Partner with Finance, Workplace, People, IT, and Real Estate stakeholders globally to support portfolio planning initiatives - Help establish scalable planning frameworks, reporting standards, and governance processes as Databricks continues to grow What we look for: - Bachelor’s degree in Real Estate, Finance, Economics, Business Administration, or a related field - 7+ years of experience in a combination of Real Estate, Finance, Strategy, Management Consulting, or related fields with a track record of success - Excellent analytical skills, including financial modeling, forecasting, portfolio analysis, and scenario planning - Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions - Strong presentation, verbal, and written communication skills - Ability to manage multiple high-visibility projects simultaneously in a fast-paced environment - Experience working in a results-driven, solutions-oriented environment with competing priorities - Strong collaboration skills and ability to work effectively across cross-functional stakeholders - Advanced proficiency in Google Sheets, Excel, and presentation development - Experience with planning and reporting tools such as Anaplan, Tableau, Databricks, or similar platforms preferred 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 1 Pay Range $144,500 - $198,650 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.
Program Manager, Product Legal
GAQ426R82 About the Role As a Program Manager for Product Legal at Databricks, you will sit at the intersection of cutting-edge data/AI innovation, software engineering, and global compliance. Reporting directly to the Director & Assistant General Counsel, Product, you will act as the operational backbone for the Product Legal Program. Your primary mission is to support our Product Legal team as they advise Engineering and Product teams on compliance for our global software offerings. This is a highly independent role designed for a self-starter who thrives on total accountability. You won't just track workstreams—you will own them. You will design Jira automations, route legal work, maintain critical metric dashboards, and leverage modern AI tools (such as Claude Code Genie Code, or Cursor) to proactively optimize and automate our workflows. If you are an operationally fierce, tech-forward program manager who loves keeping complex projects moving and holding teams accountable, we want to talk to you. The Impact You Will Have - Own the Product Legal Program Execution: Act as the central driver, ensuring the program moves forward. Track compliance rollouts, monitor upcoming global legal and regulatory updates, manage workstreams, and keep cross-functional stakeholders accountable to deadlines. - Architect Smart Legal Operations & Routing: Oversee the routing and tracking of incoming legal requests. Build, maintain, and optimize Jira workflows and automations to intelligently assign tickets, reduce manual overhead, and ensure no legal review drops through the cracks. - Build & Upkeep Next-Gen AI Tooling: Partner with the team to help build, maintain, and deploy modern AI tools, agents, and prompts (leveraging frameworks like Claude Code, Cursor, and similar developer tools) to automate repetitive legal tasks and scale institutional knowledge. - Maintain Data-Driven Dashboards: Own the collection, upkeep, and analysis of core operational metrics. Build and maintain dashboards that give leadership real-time visibility into ticket volumes, product review status, and compliance risks. - Scale Engineering & Product Advisory: Streamline how legal advice is delivered to software engineering and product teams, transforming complex legal requirements into repeatable project plans and automated guardrails. - Drive Proactive Continuous Improvement: Constantly audit the status quo. Identify operational bottlenecks and implement technical solutions or workflow adjustments to help the legal organization scale alongside Databricks’ rapid growth. What We Look For - Experience & Industry Context: Program management or paralegal experience within a fast-paced in-house technology company or a major technology-focused law firm. Familiarity with legal concepts and the software development lifecycle is highly valued. - Modern AI & Tech Literacy: Experience with or a strong desire to utilize advanced AI productivity and coding tools (e.g., Claude Code, Cursor, or prompt engineering for data/workflow analytics) and project tracking systems like JIRA to build and maintain operational infrastructure. Any coding experience is a plus. - Extreme Autonomy & Accountability: A proven track record of working with a high degree of independence. You are someone who proactively uncovers problems, designs solutions, and drives them to completion without needing micro-management. - Project & Compliance Management: Exceptional capability in handling project-based work, with a disciplined approach to tracking regulatory changes, rolling out compliance initiatives, and maintaining rigorous project schedules. - Communication & Influence: Excellent verbal and written communication skills. Ability to confidently interface with senior legal counsel, push back on engineering/product timelines when necessary, and keep diverse teams aligned. - Education: Bachelor’s degree from an accredited university, or equivalent practical operational experience. 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 $109,400 - $150,350 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.
Program Analyst, Legal Ops
GAQ426R79 About the Team The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity. What we look for Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team’s AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks' long-term corporate goals. The impact you will have - Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M&A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances. - Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance. - Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity. How you will work: - You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions. - You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines. - You routinely identify and recommend opportunities to change and improve ways of working. - You are a bar raiser, constantly looking to improve standards within the team and to streamline process and quality across different regions. What we look for - Outstanding interpersonal and communication skills - Three or more years of experience working as paralegal, program manager, contracts specialist or contracts admin. - Experience with leveraging AI or machine learning in a legal setting - Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus. - Bachelor's degree or equivalent. - Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign). - Strong project management skills. - Excellent written and verbal communication. - Ability to work effectively with cross-functional teams across diverse cultures. - Strategic thinking and problem-solving abilities. - Familiarity with relevant industry regulations and compliance requirements. - Proficiency with proposal management software. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $92,200 - $126,700 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 3 Pay Range $87,000 - $119,700 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Product Management Intern (Summer 2027)
P-982 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. As a Product Management Intern, you will join a team that works diligently to understand and solve our customers' most challenging problems . You will learn how to be a successful PM at a high-growth enterprise technology company that operates at the important intersection of data and AI. We're hiring across all of our teams, including AI Platform, Genie, Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, and EDA. As part of our 2027 intern cohort, you will have a dedicated manager and mentor as well as two mentors and connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company. This is a 12 week paid summer internship program in either San Francisco, CA, Mountain View, CA, or Bellevue, WA. The impact you will have: - Deeply understand customer problem space and establish the rails for viable solution space - Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build - Work with engineers and designers to ship features on the Databricks platform - Own your project end-to-end — design, build, launch, and iterate on feedback - Build with scale, quality, and security in mind from day one What we look for: - Pursuing a bachelor's or master's in computer science or a related engineering field graduating in Fall 2027 or Spring 2028 - You've used AI tooling for both personal productivity and development projects - You have some first hand experience with SQL and/or Python - You're hands-on and learn by doing — happy to build, test, and iterate your way to an answer - You use analytical skills to make data-driven decisions (e.g. analyzing product usage) - You can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form - You're excited to solve ambiguous problems with a collaborative team - You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched 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 . SF Bay Area Hourly Rate $54 - $56 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks 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. For more information regarding which range your location is in visit our page here . Bellevue, Washington Hourly Rate $51.50 - $53.50 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.
Product Adoption Manager, Strategy and Execution
SLSQ327R269 Databricks is looking for a motivated Manager to join our Strategy & Operations team to strengthen our product-focused planning and execution, provide strategic analysis, and instill operational thoughtfulness in our successful and fast-growing GTM teams You will use data and qualitative information to help our Sales and Field Engineering Leadership manage the business with a specific focus on Platform health and adoption. This role will support our Genie and AI product lines. This includes serving as a strategic partner for VP-level GTM leaders, supporting essential aspects of our GTM design and annual planning process, building our data and analytics foundation (including executive reporting), and providing health of business reviews. You will work with our Field Engineering, Sales, Product, Finance, Data, Partnerships, and other GTM teams. You will report to the Director of FE Strategy and Ops. The impact you will have: - Serve as a strategic business partner for both Sales and Field Engineering leadership - Lead executive analyses, strategies, and deliverables (e.g., board materials, QBR) - Provide operational visibility and performance tracking against targets (weekly reviews, async updates) - Generate deep dives into performance trends with/action-oriented outcomes - Spearhead GTM operations for new products and partnerships, providing reporting, insights, and recommendations - Drive necessary GTM changes to scale new initiatives, working with varying x-functional teams - Inform and enhance product roadmap with voice of the field and quantitative analysis - Improve GTM visibility into product roadmap and feature releases - Guide annual GTM planning process (FY and long-range modeling, KPI setting, HC planning) What we look for: - Relevant experience: 7+ years of strategy & operations experience (eg. Enterprise SaaS experience, top tier strategy consulting, investment banking, business operations) - Business Ownership: Leadership and confidence to support VP-level GTM stakeholders like you own the business - Relentless problem solving: Ability and passion to analyze, set priorities, and solve complex problems, digging deeper to find root causes; unafraid to ask questions - AI and technical fluency: Leverages cutting edge AI and data tools for analysis, problem solving, data visualization, and automation; continually learning and expanding skillset; familiarity with common GTM tech stack and tools (Databricks, SFDC, Tableau, SQL, etc) - Comfort with ambiguity: You’ll be on the cutting edge of our Go-to-market engine, things won’t always be clean or easy. But you embrace that challenge and are excited to build for scale - Zero to C-Suite : Capable of going deep in analysis while elevating your findings and communication to exec level reportingPassion for your customer: You recognize that Strategy and Ops is a customer-facing job; you prioritize your customer and their needs 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 $162,900 - $223,950 USD Zone 2 Pay Range $146,600 - $201,500 USD Zone 3 Pay Range $138,500 - $190,400 USD Zone 4 Pay Range $130,300 - $179,200 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Procurement Operations Leader, Buy Desk
GAQ127R93 The Procurement Operations Leader, Buy Desk is responsible for owning the end-to-end purchase requisition and purchase order lifecycle — ensuring every transaction is accurately set up, fully documented, properly authorized, and compliant with procurement policy. This role serves as a critical operational bridge between business requestors, strategic sourcing, accounts payable, and suppliers, while driving process standardization, automation, and continuous improvement across the procure-to-pay workflow. Operating with a high degree of ownership and attention to detail, this individual will build scalable, repeatable operating standards for the Buy Desk function — ensuring the organization can transact efficiently, compliantly, and at speed. The impact you will have: Purchase Requisition Review & Compliance - Review incoming purchase requisitions to ensure accurate set-up in alignment with the associated scope of work or order form, including: - Product or service description - Quantity and unit pricing - Total amount and budget alignment - Service start and end dates - Payment terms and conditions - Validate that all required supporting documentation is attached to or referenced within the purchase requisition (e.g., statements of work, order forms, quotes, executed contracts). - Ensure purchase requisitions are routed through and approved by all designated authorized individuals in accordance with the organization's delegation of authority matrix. - Identify and resolve requisition discrepancies or missing information before progressing to PO issuance. - Serve as the first line of review for policy compliance, spend thresholds, and approval requirements. Purchase Order Management - Own end-to-end PO lifecycle from creation and approval routing through receipt confirmation and closure. - Manage a high-volume daily transaction queue with accuracy, consistency, and speed. - Resolve PO discrepancies, invoice mismatches, and delivery exceptions in coordination with Accounts Payable and suppliers. Strategic Sourcing Support - Partner with the strategic sourcing team to support post-contract execution activities, including: - Accurate metadata management into the contract management system upon contract execution - Uploading fully executed documents to the contract repository in a timely and organized manner - Ensuring contract records are complete, accurate, and audit-ready - Maintain and update supplier records, onboard new vendors through the standard intake process, and ensure approved supplier lists remain current. Process Improvement & Automation - Identify manual or repetitive tasks within the Buy Desk workflow and champion automation and streamlining initiatives. - Support configuration and adoption of procurement technology platforms (e-procurement, intake tools, catalog management). - Build and maintain SOPs, workflow guides, and buying channel configurations to enable consistent, scalable execution. - Drive continuous improvement across the procure-to-pay cycle using data-driven insights. Reporting & Data Integrity - Track and report on key Buy Desk metrics: transaction volume, requisition cycle times, PO compliance rates, and approval turnaround. - Flag policy exceptions and support audit readiness through disciplined data hygiene practices. - Contribute procurement operations data to leadership reporting and cross-functional dashboards. What we look for: Required - 5+ years of experience in procurement operations, purchasing, or procure-to-pay functions. - Demonstrated experience reviewing, processing, and managing high-volume purchase requisitions and purchase orders. - Strong understanding of PO lifecycle, approval workflows, and delegation of authority frameworks. - Experience validating supporting procurement documentation such as statements of work, order forms, contracts, and quotes. - Hands-on proficiency with ERP or e-procurement platforms (Coupa, Ariba, SAP, Oracle, or similar). - Exceptional attention to detail with a process-oriented, high-ownership mindset. - Bachelor's degree in Business, Supply Chain, Finance, or a related field. Preferred - Experience supporting strategic sourcing teams with contract metadata management and repository administration. - Familiarity with contract lifecycle management (CLM) systems. - Background in AP workflows, invoice exception handling, or three-way match processes. - Exposure to process improvement methodologies such as Lean or Six Sigma. - Experience building or maintaining procurement SOPs and training materials. - CPSM, CPM, or supply chain certification a plus. What success looks like in Year One - Buy Desk intake and review process is fully documented, standardized, and operating consistently at scale. - Requisition-to-PO cycle times are measurably reduced and tracked via a regular reporting cadence. - Zero compliance gaps in requisition approval or supporting documentation at audit review. - Contract repository is current and accurate, with all executed agreements properly logged and uploaded. - Automation opportunities identified and at least one manual workflow streamlined or eliminated. 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.
Principal Security Field Engineer
RDQ327R177 While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. The Security Field Engineering team helps data teams solve the world's toughest problems by empowering customers to understand the security of the Databricks platform and by helping account teams address questions that come up during security reviews. Reporting to the Head of Security Field Engineering, you will meet with customers to answer questions, train other Databricks team members, build customer-facing content such as slide decks, white papers, and maybe write code that customers can use. Our team prioritizes scale -- we'd rather spend an hour building a doc than be in ten hours of meetings, rather deliver agent skills and knowledge base articles than be the rock star answering all the questions. If you want high growth, autonomy, and to touch all elements of security, look no further. The impact you will have: - You will be viewed as a security expert as you work with field teams and customers to understand architectures, address concerns and handle compliance questions - Your contributions may come in multiple ways, including customer interactions, scalable slides or white paper creation, internal enablement, process improvement, automation, or technical leadership—no one excels in every area, but all are valuable - When you’re on the call, you will be directly appreciated. When you’re not, your impact will be felt across the company through the enablement, collateral, knowledge management, and systems you build - You might not come from an assurance team, but you’ll come up to speed with common security and compliance regimes to save customers hours of effort and months of uncertainty - You will identify customer pain points and work with product management and product marketing will improve our product and our messaging - You will contribute to internal-facing services and automation that make life easier for our field staff and our customers. - You are probably already great at AI productivity, but you’ll sit in a group focused on becoming legendary. What we look for: - 7+ years of technical pre-sales or post-sales experience where you're the person in the room explaining the hard concepts - Equal love of understanding complex security principles and architectures, and of communicating them simply - Real-world experience in multiple security domains such as IaaS+PaaS+SaaS, network and endpoint security, web applications, vulnerability management, identity management, and SIEM, though not all are needed - You've done some scripting or programming, and are excited to use AI relentlessly to scale our impact across many thousands of customers and employees. - Understanding of the Databricks platform is a strong plus. 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 $270,300 - $371,700 USD Zone 2 Pay Range $243,300 - $334,500 USD Zone 3 Pay Range $229,800 - $315,900 USD Zone 4 Pay Range $216,200 - $297,350 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.
Principal Research Scientist – Scaling
Principal Research Scientist – Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have - Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. - Define the scaling research roadmap in alignment with Databricks’ strategic objectives, prioritizing advances in foundation model efficiency and large‑scale training and inference. - Drive algorithmic innovations for large‑scale neural network training and inference, including novel optimizers, low‑precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state‑of‑the‑art approaches. - Optimize end‑to‑end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure. - Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer‑impacting capabilities in the Databricks AI platform. - Foster a culture of scientific excellence and openness, including high‑quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI. - Represent Databricks AI research externally through top‑tier publications, conference talks, and collaborations with academia and the open‑source community, with a focus on optimization and efficiency for large‑scale models. - Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers. What You Will Do - Define and lead independent research programs on foundation model efficiency, covering topics such as optimizer design, low‑precision training/inference, scalable model architectures, and efficient adaptation methods. - Oversee the design and execution of large‑scale experiments, including benchmarking against state‑of‑the‑art methods and evaluating trade‑offs in quality, latency, throughput, and cost. - Work hands‑on with your team on high‑quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks’ production systems. - Collaborate with distributed systems and infra teams to push the limits of distributed training , parallelism strategies, memory management, and hardware utilization for LLMs and other large models. - Establish metrics, evaluation protocols, and best practices for scaling‑focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI. - Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first‑class considerations. What We Look For - Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. - Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large‑scale neural networks. - Hands on leadership - strong programming skills and demonstrated ability to write high‑quality, efficient code in Python and PyTorch for research implementation and experimentation. - Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams. - Excellent communication, leadership, and stakeholder management skills, with experience influencing cross‑functional roadmaps and aligning research with business impact. Nice to Have - Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory‑/compute‑efficient model design. - Strong industry and academic network in large‑scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems. - A strong record of research impact—such as first‑author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open‑source contributions, or widely used deployed systems—especially in optimization or 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 . Local Pay Range $280,000 - $350,000 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.
Principal Product Marketing Manager, AI Governance
MKTQ127R8 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Agentic AI has taken the world by storm and Databricks is proud to be a leader in this space. With a data-centric approach to AI, Databricks enables customers to build high-quality AI agents and applications with enterprise-grade governance, security, and observability. In this role, you will own product marketing for Databricks AI Governance portfolio, including Unity AI Gateway. Reporting to the Senior Director of Product Marketing, you’ll define and execute marketing strategies that drive trusted AI adoption, enable sales and partners, generate pipeline for AI products, and drive developer adoption of AI. Partnering closely with product, sales, and marketing teams, you’ll translate product innovation into clear market narratives around AI governance (e.g., access control, monitoring, policy enforcement), compelling customer content, targeted campaigns, and impactful product launches. The impact you will have: - Own the marketing strategy and planning for AI governance products - Build and land collateral for key channels across sales, partner, and demand generation, including content campaigns and events that highlight AI governance, compliance, and observability capabilities - Create an always-on go-to-market plan and pilot new programs with a strong focus on winning AI governance mindshare, driving pipeline, and adoption of governed AI usage - Build a strong and collaborative partnership with product and engineering teams to launch new products - Increase global reach by working with field marketing, industry, events, and partner organizations to help scale the business globally - Build trust with customers and share their agentic AI customer stories, emphasizing governance, risk mitigation, and production readiness What we look for: - 8+ years of technical product marketing experience in an enterprise software company - Experience with AI/ machine learning technologies - Strong understanding of AI, security, and governance decision makers and builders (developers, ML engineers, platform teams), and experience building content around governed AI platforms and policy-driven controls - Portfolio of impactful marketing content, sales enablement materials and always-on GTM Experience presenting at conferences and customer engagements, including topics related to AI governance, risk, and enterprise adoption - Preferred BS in Computer Science or Engineering, coupled with MBA 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 $193,500 - $266,100 USD Zone 2 Pay Range $174,200 - $239,450 USD Zone 3 Pay Range $164,500 - $226,150 USD Zone 4 Pay Range $154,800 - $212,850 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.
Principal Product Marketing Manager, AI
MKTQ327R34 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. Agentic AI has taken the world by storm and Databricks is proud to be a leader in this space. With a data-centric approach to AI, Databricks enables customers to build and use high-quality AI agents and applications that drive real business outcomes. In this role, you will own product marketing for Genie, the data-smart AI coworker for business teams. Reporting directly to the Senior Director of Product Marketing, you will lead messaging and content development for cross-channel marketing strategies targeting business and technical buyers as well as business users, with a strong focus on business value, usability, and adoption. You will partner closely with product, sales, partner, and marketing teams to increase awareness, support new launches, and drive adoption of Genie. Ideal candidates will have a proven record in product marketing and experience working on technical products. You have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at enterprise business users and decision makers (e.g., operations, finance, marketing), and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans. The impact you will have: - Establish Genie as the leading AI coworker for business teams by driving awareness, adoption, and daily usage across priority business user segments. - Launch and iterate messaging and campaigns that increase engagement, activation, and conversion among business users and decision makers, while aligning with IT stakeholders. - Elevate Databricks’ AI narrative with a strong emphasis on business value and productivity gains at flagship events and in always-on campaigns, resulting in increased share of voice and Genie pipeline. - Improve sales readiness and productivity by delivering enablement programs and content that help teams clearly articulate Genie’s business value to non-technical buyers and end users. - Build a strong portfolio of customer stories and proof points that demonstrate measurable Genie impact on business outcomes and are actively leveraged across sales, marketing, and partner motions. What we look for: - 8+ years of product marketing experience at an enterprise software company. - Experience marketing Data & AI, AI assistants, or AI-powered products, particularly those used directly by business teams or end users. - Proven track record creating messaging and content that resonates with business users and decision makers while bridging to technical audiences. - Experience partnering closely with sales teams and partner teams to build and execute GTM and enablement programs. - Sufficient technical fluency to translate complex AI capabilities into clear, outcome-focused narratives for enterprise customers. 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 $193,500 - $266,100 USD Zone 2 Pay Range $174,200 - $239,450 USD Zone 3 Pay Range $164,500 - $226,150 USD Zone 4 Pay Range $154,800 - $212,850 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.
Principal Event Marketing Manager, Data + AI World...
MKTQ327R36 Reporting to the VP, Global Events, this Principal Event Marketing Manager at Databricks will work closely with cross-functional stakeholders across the globe to develop our events strategy for the 20+ stop Data+AI World Tour. In this role, you will ensure the delivery of industry leading and high-impact events for our global audiences as an extension of the Data+AI flagship event. You will act as the global program lead, establishing the playbook and identifying opportunities for improved scalability, best practices, and brand presence that enhances Databricks market leadership across regions. This role will also be responsible for the event management and production of our top tier events. Other special projects may include onsite event management at the Data+AI flagship event and strategic initiatives. The impact you will have: - Content strategy: Within 12–18 months, establish and scale a content strategy for the Data+AI World Tour that increases session attendance and on-demand views by 25–30% and drives a meaningful uplift in content-attributed pipeline from target personas. - Sponsorship program: Grow the World Tour sponsorship program to deliver a year-over-year increase in sponsorship revenue and sourced pipeline while maintaining or improving partner satisfaction scores. - Operational efficiency: Reduce end-to-end event execution cycle times and budget variance through streamlined workstreams and repeatable processes, enabling the team to support more stops or higher program complexity without additional headcount. - Ensure seamless flow of leads from events into marketing automation systems and to sales team stakeholders to maximize pipeline generation and conversion - Stakeholder alignment: Build a reliable global operating model with Executive, Marketing, Sales, and regional leaders so that tour stops launch on time with agreed goals, content, and speaker participation , and jointly owned KPIs (pipeline, attendance, NPS) are consistently met or exceeded. What we look for: - 10+ years of event marketing experience, of which 3+ years experience leading large scale world tours - Experience driving alignment and managing complex, multi-stakeholder global programs - Metrics-driven, analytical thinker with ability to utilize data to drive the success and evolution of the program - Excellent communication skills, including strong executive presence - Proven success in achieving or exceeding pipeline targets - Experience with Google suite, Salesforce, Swoogo, Asana, and Rainfocus (building emails, lists and landing pages) 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 $192,000 - $264,000 USD Zone 2 Pay Range $172,800 - $237,600 USD Zone 3 Pay Range $163,200 - $224,400 USD Zone 4 Pay Range $153,600 - $211,200 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Principal Engineer - Privacy
P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: - Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services - Attract top talent from across the industry. - Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven - Represent Databricks at academic and industry conferences & events What we look for: - 10+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. - 15+ years of experience building large scale distributed systems with high availability - Leadership skills and experience to lead across functional and organizational lines - Strong communication skills to explain and evangelize Data Security to senior leaders across the company - Bias to action and passion for delivering high-quality solutions - MS or Ph.D. in Computer Science or related fields Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $278,200 - $339,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Principal Engineer - Privacy
P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: - Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services - Attract top talent from across the industry. - Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven - Represent Databricks at academic and industry conferences & events What we look for: - 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. - 15+ years of experience building large scale distributed systems with high availability - Leadership skills and experience to lead across functional and organizational lines - Strong communication skills to explain and evangelize Data Security to senior leaders across the company - Bias to action and passion for delivering high-quality solutions - MS or Ph.D. in Computer Science or related fields Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $220,400 - $297,400 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Principal Engineer - Privacy
P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: - Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services - Attract top talent from across the industry. - Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven - Represent Databricks at academic and industry conferences & events What we look for: - 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. - 15+ years of experience building large scale distributed systems with high availability - Leadership skills and experience to lead across functional and organizational lines - Strong communication skills to explain and evangelize Data Security to senior leaders across the company - Bias to action and passion for delivering high-quality solutions - MS or Ph.D. in Computer Science or related fields Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $220,400 - $297,400 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Principal Engineer - Privacy
P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: - Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services - Attract top talent from across the industry. - Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven - Represent Databricks at academic and industry conferences & events What we look for: - 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. - 15+ years of experience building large scale distributed systems with high availability - Leadership skills and experience to lead across functional and organizational lines - Strong communication skills to explain and evangelize Data Security to senior leaders across the company - Bias to action and passion for delivering high-quality solutions - MS or Ph.D. in Computer Science or related fields 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.
Principal Engineer, Compute Fleet Management
P-725 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. About the Team: Join the Core of Databricks Infrastructure The Compute Infra Team is the engine behind all of Databricks' products and Control Plane services. We build and scale the foundational compute infrastructure that enables every Databricks customer to succeed, operating one of the largest and most dynamic data and AI clouds in the world. Mission: Define the Future of Cloud Compute Efficiency and Scale As the Technical Lead for Compute Fleet Management, you won't just manage a fleet—you will set the standard for how Databricks consumes and optimizes compute across all three major clouds (AWS, Azure, and GCP). This is a mission-critical role with direct impact on our gross margin and customer experience. Your mandate includes: - Pioneering Fleet Optimization: Provisioning and pooling of O(Billion)s of cloud resources to achieve peak workload performance, industry-leading efficiency, and robust resource isolation. - Delivering Hyper-Scale Resilience: Build the architecture that guarantees horizontal scaling and resilience against zonal or even cloud account-level failures, ensuring Databricks is always on. - Owning the Critical Path: Lead the development of the lowest-dependency systems required to bootstrap and manage our massive compute platform. Outcomes: The Impact You Will Deliver This role is for an engineer who thrives on owning the most challenging and impactful outcomes: - High Availability: Achieve and maintain 99.99% availability for all batch and serving workloads. - Stellar Efficiency: Drive utilization to 60% or higher—a crucial metric that requires balancing high efficiency with unwavering tolerance for cloud failures. - Best-in-Class Isolation: Architect and enforce strong security and performance isolation across a diverse range of customer workloads. Requirements: Are You Ready for this Challenge? We are seeking a seasoned Principal Engineer who has not only built but successfully operated large-scale, mission-critical infrastructure systems in production. You must have a track record of: - Leading Transformative Projects: Taking ownership of complex, cross-team, cross-layer, and multi-quarter strategic engineering initiatives from concept to execution. - Distributed Systems Mastery: Deep, hands-on experience developing and operating high-scale distributed systems on at least one major public cloud. - Influence Without Authority: Proven ability to drive consensus, establish technical direction, and lead large technical efforts across organizational boundaries. - Execution Discipline: Exceptional strength in planning, tracking project progress, and managing complex cross-organizational dependencies. The Edge: Highly Desirable Experience - Experience managing and scaling a massive fleet of GPUs for AI/ML workloads. - Experience with developing and operating large-scale distributed systems across all major clouds (AWS, Azure, and GCP). 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 $264,300 - $322,300 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.
Principal Engineer, Authentication
P-1125 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. The customer's journey on our platform starts with Authentication. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: - Craft and execute a long-term north-star vision for Authentication that balances uncompromised security with a frictionless user experience. - Recruit and mentor top-tier engineering talent to scale our security infrastructure. - Act as the voice of Security Engineering across the organization, driving data-driven decisions at the executive level. - Databricks’ security innovations at major academic and industry conferences. What we look for: - 10+ years of experience in Data Security or related areas and expertise in two or more of the following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. - 15+ years of experience building large scale distributed systems with high availability - Leadership skills and experience to lead across functional and organizational lines - Strong communication skills to explain and evangelize Data Security to senior leaders across the company - Bias to action and passion for delivering high-quality solutions - MS or Ph.D. in Computer Science or related fields This role is open to remote candidates. 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 $266,000 - $365,750 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.
Principal Engineer, Authentication
P-1125 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. The customer's journey on our platform starts with Authentication. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: - Craft and execute a long-term north-star vision for Authentication that balances uncompromised security with a frictionless user experience. - Recruit and mentor top-tier engineering talent to scale our security infrastructure. - Act as the voice of Security Engineering across the organization, driving data-driven decisions at the executive level. - Databricks’ security innovations at major academic and industry conferences. What we look for: - 10+ years of experience in Data Security or related areas and expertise in two or more of the following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. - 15+ years of experience building large scale distributed systems with high availability - Leadership skills and experience to lead across functional and organizational lines - Strong communication skills to explain and evangelize Data Security to senior leaders across the company - Bias to action and passion for delivering high-quality solutions - MS or Ph.D. in Computer Science or related fields This role is open to remote candidates. 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 $280,000 - $385,000 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.
Principal Demand Generation Manager
MKTQ227R22 Reporting to the Senior Director of Demand Generation, this role is responsible for uniting cross-functional stakeholders to develop and execute the biannual, strategic, and integrated Demand Generation and Field Marketing plan. You’ll act as a central connecting point between go-to-market teams—ensuring we align with the company's overarching priorities and deliver measurable growth. The impact you will have: - Strategic Alignment: Lead collaboration across Demand Generation, Partner Marketing, Field Marketing, and other key leaders to articulate how integrated half-year plans roll up to company goals, securing executive alignment and approval. - Business Driver/SME: Informs and champions transformational operational excellence: A strong, scalable, operating rhythm that drives accountability, transparency, and measurability throughout the campaign development process. - Data-Driven Insights: Synthesize complex data and insights to guide executive decision-making and strategic adjustments. - Forward Thinking: Advocates and prioritizes a roadmap, asks about the future of integrated campaign development, and identifies and prioritizes high-impact projects to help scale the organization effectively. What we look for: - 7+ years of professional experience, of which 5+ years of experience are in demand generation in a high-growth SaaS startup. - Strong communication and stakeholder management skills; skilled at influencing across senior levels. - Proven ability to build operational frameworks, manage budgets, and drive cross-functional alignment. - Comfort working in dynamic, fast-paced environments and managing competing priorities. - Analytical mindset with proficiency in data-driven decision-making and campaign performance analysis. - Past experience working on integrated campaigns with expertise in end-to-end campaign development, execution, and measurement. - Prioritize and achieve in an environment that requires fresh thinking and new ideas. Strong growth mindset, having an open mind to new ideas and growth opportunities. 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 $192,400 - $264,550 USD Zone 2 Pay Range $173,200 - $238,150 USD Zone 3 Pay Range $163,500 - $224,850 USD Zone 4 Pay Range $153,900 - $211,650 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.
Principal Data Scientist
RDQ427R169 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest levels of leadership — translating the full power of data science into clear, actionable narratives for our CEO, C-suite, and Board of Directors. Our vision is simple: data drives every Databricks decision and action. To get there, we need a world-class statistician and communicator — someone who can bridge the gap between deep analytical rigor and executive decision-making. This is a pure IC role with company-wide influence: no direct reports, maximum leverage. Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide — including over half of the Fortune 500 — relying on Databricks, and a team of 7,000+ employees, we are at the forefront of the data and AI revolution. We have been recognized as a leader by Gartner, Forrester, and IDC, and have raised more than $4 billion in funding at a $62 billion valuation. The Impact You Will Have - Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors — ensuring data science insights directly inform the company's most critical decisions. - Statistical authority. Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. Advance the state-of-the-art in how Databricks applies statistical methods to business problems. - Org-wide uplevel. Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling their story. - Strategic insights. Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning — the kind of synthesized, judgment-rich insight that AI cannot autonomously create. - Cross-functional influence. Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made. - External thought leadership. Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. Build an external identity that attracts world-class talent. - Methodology and standards. Define and evolve company-wide scientific methodologies — experimentation frameworks, forecasting systems, causal inference approaches — to match and push industry state-of-the-art. What We Look For Required - 15+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia. - Proven track record of presenting statistical and data science concepts to C-suite and Board-level audiences, with measurable impact on executive decision-making. - Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning. - Exceptional written and verbal communication — the ability to make complex statistical concepts intuitive and compelling for non-technical executives. - Track record of upleveling teams: setting analytical standards, mentoring senior data scientists, and improving org-wide output quality. - Experience at the intersection of statistics and large-scale technology or data platforms. - Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field. Preferred - Academic research or teaching background in statistics or a quantitative field. - Industry experience at multiple tier-1 technology companies. - Published research or recognized thought leadership in applied statistics. - Experience building or leading a "Chief Statistician" or equivalent function. - Experience in infrastructure, platform, or systems-oriented data science. 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.
Principal AI Research Scientist, Research Director...
Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – AI Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have - Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. - Define the scaling research roadmap in alignment with Databricks’ strategic objectives, prioritizing advances in foundation model efficiency and large‑scale training and inference. - Drive algorithmic innovations for large‑scale neural network training and inference, including novel optimizers, low‑precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state‑of‑the‑art approaches. - Optimize end‑to‑end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure. - Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer‑impacting capabilities in the Databricks AI platform. - Foster a culture of scientific excellence and openness, including high‑quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI. - Represent Databricks AI research externally through top‑tier publications, conference talks, and collaborations with academia and the open‑source community, with a focus on optimization and efficiency for large‑scale models. - Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers. What You Will Do - Define and lead independent research programs on foundation model efficiency, covering topics such as optimizer design, low‑precision training/inference, scalable model architectures, and efficient adaptation methods. - Oversee the design and execution of large‑scale experiments, including benchmarking against state‑of‑the‑art methods and evaluating trade‑offs in quality, latency, throughput, and cost. - Work hands‑on with your team on high‑quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks’ production systems. - Collaborate with distributed systems and infra teams to push the limits of distributed training , parallelism strategies, memory management, and hardware utilization for LLMs and other large models. - Establish metrics, evaluation protocols, and best practices for scaling‑focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI. - Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first‑class considerations. What We Look For - Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. - Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large‑scale neural networks. - Hands on leadership - strong programming skills and demonstrated ability to write high‑quality, efficient code in Python and PyTorch for research implementation and experimentation. - Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams. - Excellent communication, leadership, and stakeholder management skills, with experience influencing cross‑functional roadmaps and aligning research with business impact. Nice to Have - Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory‑/compute‑efficient model design. - Strong industry and academic network in large‑scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems. - A strong record of research impact—such as first‑author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open‑source contributions, or widely used deployed systems—especially in optimization or 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 . Local Pay Range $270,000 - $340,000 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.
Pre-sales Solutions Architect (Manufacturing, Defe...
JOB ID: FEQ327R451 Recruiter: Dina Hussain Location: London, UK Industry: Manufacturing, Defence and Automotive At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: - Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. - Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. - Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field. - Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Manufacturing, Defence and Automotive which focuses on supporting and growing customers in the UK&I. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team. Core Technical Qualifications: - Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. - Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. - Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. - Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). - Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs). Pre-Sales & Customer-Facing Skills: - Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. - Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). - A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: - Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer-facing skills. Logistics: - Ability to commute to the London office regularly. - Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits. Nice to Have: - Databricks or other relevant Cloud/Data certifications. - Experience working within the Manufacturing, Defence or Automotive sectors. 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.
Presales Solutions Architect Manager (Energy, Reso...
REQ ID: FEQ327R463 Recruiter: Dina Hussain Location: London, United Kingdom Industry Sector: Energy, Resources and Utilities sectors As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Energy and Resources sector. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. You will report to the Senior Director, Field Engineering. The impact you will have: - Manage hiring, onboarding and building your Pre-Sales Solutions Architect team - Where required, rapidly scale the designated team without sacrificing quality - Use AI natively yourself to drive efficiency and scale - Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture - Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles - Promote a solution and value-based selling field-engineering organisation - Display an understanding of business needs and revenue potential for accounts in the assigned region - Build Databricks' brand in UK&I in partnership with the Marketing and Sales team - Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions - Help Databricks continue to expand by winning hearts and minds as we evolve our processes to support our business and technical growth What we look for: - AI native builder mentality - using AI to enhance your own productivity and that of your team is a non-negotiable - Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals. - Experience in a customer-facing role across the Energy, Resources and Utilities sectors in the UK and Ireland - Experience in developing go-to-market (GTM) strategies - Experience in complex strategic accounts - Have experience scaling and mentoring field and technical teams - Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models - Great at instituting processes for technical field members to improve efficiency - Market experience of the UK&I region 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.
Pre-sales Senior Technical Solutions Engineer (Dat...
Req ID - FEQ427R59 Location: London Recruiter: Kanwal Matharu At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! You will be reporting to the Manager, Field Engineering. The impact you will have: - Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. - Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. - Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups. - Become a Big Data Analytics advisor on aspects of architecture and design. - Support your customers by authoring reference architectures, how-tos, and demo applications. - Develop both technically and in pre-sales, with the goal of becoming an independently operating Solutions Architect. What we look for: - Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering. - You will be working in the following any of the following vertical sectors: - Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality. - Manufacturing, Energy, Utilities and Industrials - Travel, Transport and Logistics - Financial Services and Insurance - Public Sector - Consumer Package Goods (CPG) / Retail - Any experience in Pre-sales or post-sales experience working with external clients - Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. - Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset. - Code in a core programming language such as Python, Java, or Scala. - Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure). - Experience diving deeper into solution architecture and design. - The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time - Nice to have: Databricks Certification 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.
Pre-sales Senior Technical Solutions Engineer (AI/...
Req ID: FEQ327R439 x 2 New roles Recruiter: Dina Hussain Location: London (or surrounding areas) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! You will be reporting to the Manager, Field Engineering. The impact you will have: - Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. - Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. - Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups. - Become a Big Data Analytics advisor on aspects of architecture and design. - Support your customers by authoring reference architectures, how-tos, and demo applications. - Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect. What we look for: - Experience, technical customer-facing and with a background ideally in Data Science / Generative AI / Machine Learning, but will also consider Data Warehousing or Data Engineering. - You will be working in the following any of the following vertical sectors: - Entertainment, Media, Telco and/or Hospitality. - Financial Services and Insurance (FSI) - Retail / CPG (Consumer Package Goods) - Any experience in Pre-sales or post-sales experience working with external clients - Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. - Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset. - Code in a core programming language such as PySpark , Python, Java, or Scala. - Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure). - Experience diving deeper into solution architecture and design. - The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time - Nice to have: Databricks Certification 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.
Pre-sales Manager, Field Engineering - Named Accou...
(FEQ427R176) As a Field Engineering Manager, you will lead a skilled and motivated team of technical pre-sales Solutions Architects and Solutions Engineers based in Denmark. You will play a key leadership role at the intersection of technology and business, helping the team design value-focused solutions and support growth through effective collaboration with Sales and other partners. You will coach your team to communicate complex ideas clearly and accessibly, supporting strategic sales cycles, and building strong partnerships with customers and stakeholders across large organisations. You will also foster a culture where people with diverse backgrounds feel included, supported, and able to do their best work. The impact you will have: - Lead, mentor, and develop an inclusive pre-sales team in Denmark, supporting both performance and long-term career growth. - Foster a collaborative culture that reflects Databricks’ values of customer focus, teamwork, and diversity of thought. - Partner with Sales to drive solution- and value-based selling, helping customers understand the business impact of our platform. - Enhance team effectiveness by establishing and iterating on best practices that improve efficiency and focus on meaningful business outcomes. - Build trusted relationships with customer executives and strategic partners, acting as a credible advisor on data, analytics, and AI. - Collaborate across teams—including Marketing, Sales, Product, and Services—to ensure a seamless customer experience and successful implementation. - Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in Nordic markets. What we’re looking for: *Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.* - Experience managing or leading technical teams in Big Data, Cloud, SaaS, or similarly complex technology environments, or equivalent experience that shows you can quickly learn new technologies. - A track record of leading, mentoring, and scaling pre-sales, consulting, or technical field organisations, with an emphasis on coaching and inclusive leadership. - Understanding of consumption-based or subscription business models and how technical decisions influence commercial outcomes. - Ability to collaborate effectively with Sales and other cross-functional leaders, balancing customer value, technical feasibility, and business priorities. - Strong communication and interpersonal skills, with fluency in English required and Danish preferable. - Technical background in Data Engineering, Databases, Data Science, or adjacent fields; consulting or customer-facing experience is an advantage. - Curiosity and passion for data, AI, and cloud technologies, and the ability to articulate their business value in clear, inclusive language. Notes: - This will be a ‘Remote Contract’ with no formal Databricks office currently in Denmark. However the team do meet weekly/bi-weekly to meet in a coworking space in Copenhagen. - If you need any adjustments or accommodations during the application or interview process, please let us know so we can support you. 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.
PhD GenAI Research Scientist Intern
Company Description: At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI systems that use retrieval and agents. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. Job description: Most of the world's data+AI problems lie in enterprise domains, behind closed doors. Our research team's goal is to push the frontier of "domain adaptation" - how can we develop LLMs and AI systems that work well for custom domains. To do this we are tackling open research problems on a range of topics, from how to scale/automate eval, fine tune with synthetic data, retrieval augmentation, fast/efficient inference and more. You will work with our research team on projects focused on adapting LLMs and AI systems towards enterprise domains. This may include: - Adapting, improving, and evaluating a method from the literature. - Designing an entirely new method for domain adaptation. - Composing together multiple methods to create new recipes for efficient post-training. - Evaluation of LLMs and AI systems. Your qualifications and qualities: - Required: - Research experience in and proficiency with the fundamentals of deep learning. - Pursuing a PhD in computer science or related fields (electrical engineering, neuroscience, physics, math, etc.). - Proficient software engineering skills, including with PyTorch. 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 . SF Bay Area Hourly Rate $54 - $60 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.
Payroll Tax Manager
GAQ327R159 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The Payroll Tax Manager will be our internal subject matter expert on all things payroll tax, advising payroll, equity, HR, and accounting teams on legislative changes, validating existing and new positions, developing global payroll tax policy, and generally helping the business better understand and report its payroll tax obligations. This role will also lead all payroll tax audits and inquiries from revenue authorities while advising the business on best practices and minimizing payroll tax risk. The Payroll Tax Manager’s role is to elevate all of their partners' operations and ensure the business and its employees (Bricksters) are reporting the right amount of tax in the right periods. The impact you will have: Payroll Tax Advisory - Partner with our global payroll team to review payroll tax calculations and document technical positions. - Identify opportunities for refunds or otherwise de-risk our global payroll tax positions. - Support M&A integration to ensure pre- and post-close payroll tax positions are supported and optimized for the business. - Work alongside our equity administration group to validate equity withholding and assist with other shareholder transaction planning. - Assist our payroll team with global payroll tax communications and responses to employee inquiries. - Collaborate with other tax team members on payroll tax matters that impact our global direct and indirect tax matters, such as gross receipts taxes and business-level employer taxes. - Partner with our equity administration team to ensure that equity tax reporting is accurately reflected in our payroll tax filings and collaborate to solve cross-functional payroll tax matters. Audit Readiness - Lead global payroll tax audits (internal and external) by responding to information requests, communicating our positions, and remediating any identified exposures. - Guide global payroll tax policy and implementation. - Assist the accounting team to help reconcile payroll tax accounts, investigate variances, and resolve discrepancies. - Maintain comprehensive documentation to support compliance and audit requirements. Leadership & Cross-Functional Collaboration - Collaborate with HR, Finance, Accounting, Equity Administration, Legal, and Benefits on cross-functional initiatives including employee versus EOR decisions, and new entity creation. - Participate in M&A due diligence and integration activities to ensure accurate tax setup and reporting. - Partner with our Finance Data Team and other stakeholders to re-imagine the payroll tax reporting process and identify opportunities to build on Databricks technology. What we look for: Required Qualifications - Bachelor's degree in Accounting, Finance, Business, or a related field. - 5+ years of payroll tax experience. - Strong knowledge of US federal, state, and local payroll tax regulations. - Knowledge of international payroll tax regulations. - Knowledge of equity compensation tax matters. - Experience with payroll systems and tax filing platforms (SAP, NetSuite, Workday preferred). - Experience leveraging automation tools or AI at work. - Experience with payroll tax audits and negotiating with revenue authorities. - Excellent analytical, problem-solving, and communication skills. Preferred Qualifications - Experience with Workday. - Experience with mobility tax issues (state-to-state or country-to-country). - Experience in large, complex, multinational organizations. 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 1 Pay Range $161,000 - $221,450 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.
Partner Sales & Pre-sales Enablement Lead
SLSQ327R509 Partner Sales & Pre-sales Enablement Lead Databricks is a partner-first company. Our exponential growth is fueled by the success of our partner ecosystem, and this role is crucial to how we scale and leverage that ecosystem to drive non-linear growth through world-class enablement programs. This role sits within the Partner Enablement team in our Field Engineering organization, whose vision is to activate and accelerate the value our customers get from their data and AI. The Partner Enablement team extends this vision by accelerating the value our partners get from aligning with Databricks. With a partner-first mission across Consulting & Systems Integrators (C&SI), Independent Software Vendors (ISV), and Cloud partners, we align on these priorities: - Equip partners with the skills to ensure consistently high-quality delivery across the ecosystem - Grow the size of the partner ecosystem. Accelerate sales excellence with a focus on scaling partner-sourced pipeline generation - Strengthen partner capabilities in GTM Priorities - Create a seamless, high-impact learning experience that helps partners find, personalize, and consume the right content As the Partner Presales Enablement Lead, you will design and deliver enablement that builds genuine presales-level technical proficiency across our partner ecosystem — equipping ISV partners to sell and position their offerings alongside Databricks, and enabling C&SI presales teams (Solution Architects, Technical Account Managers, Sales Engineers, etc.) to scope, demo, and win Data & AI opportunities with confidence. You will translate technical products and features into meaningful business-value messaging while going deep enough technically to earn the trust of a presales audience. You have an AI-builder mindset and are a self-starter who excels in a high-growth environment. You have strong project management skills to run multi-channel enablement programs, and your success is measured by the impact of your enablement solutions, your cross-functional collaboration, and technical knowledge. Key Responsibilities - Design Presales Enablement Programs: Architect enablement programs that build hands-on, presales-grade technical proficiency. In collaboration with Subject Matter Experts, define end-to-end learning paths spanning curriculum, assessments, and success metrics. - Enable Both ISV and C&SI Presales Personas: Educate ISV partners on how to effectively sell and position their offerings with Databricks, and equip C&SI presales teams to scope, demo, and technically qualify joint opportunities. Ensure Databricks and partner selling teams are enabled and aligned on joint offerings mapped to business outcomes. - Strategic Alignment: Partner with leadership and partner-facing teams to identify critical skills gaps and translate business requirements into high-impact enablement initiatives. - Program & Roadmap Leadership: Own the roadmap. Presales enablement programs, including large-scale learning events, curriculum, and enablement strategies. Improve existing partner programs and launch new programs across multiple channels. - Performance Accountability: Drive results for your partner portfolio — knowledge, badging, partner engagements, and consumption — maintaining full ownership of metrics such as training completion and certification targets. - Data-Driven Insights: Monitor and analyze KPIs (accreditations, net new learners acquired, program impact) with a close feedback loop to L&E leaders, partner leaders, and partners, to continuously optimize enablement effectiveness. - Quality Assurance & Coaching: Oversee the technical integrity of programs across the team, and evaluate and coach cross-functional training resources to ensure best-in-class delivery. Minimum Qualifications - Experience: 10+ years developing and scaling technical and/or GTM enablement programs within a global enterprise tech ecosystem or B2B SaaS company. - Presales/Technical Sales Background: A technical software sales, presales, or solutions-engineering background with a proven track record — you've worked directly with customers and partners and can hold a technically credible conversation with a presales audience. - Technical Credibility: Deep expertise in Data & AI technologies (Data Warehousing, Data Transformation, ML, and Generative AI), backed by a proven track record of hands-on delivery for end customers. Industry certification in at least one of these domains is strongly preferred. - Ecosystem Knowledge: Strong understanding of both the ISV ecosystem (tech partners, data partners, built-ons/OEMs) and the Consulting & Systems Integrator (C&SI) business model, and how technical partners go to market. - Program Management: Proven track record managing technical competency models and learning journeys for large, geographically dispersed teams, and scoping, communicating, and delivering cross-functional projects on time and within budget. - Systems: Experience with learning, content-management, and reporting systems, including creating and launching field-ready enablement content in a Learning Management System (LMS). - Communication: Exceptional verbal and written communication skills with the ability to influence senior cross-functional stakeholders across enablement, industry, value, marketing, and partner teams. Preferred Qualifications - Bachelor's degree in a technical discipline or equivalent practical experience. - Strong background in the data and AI landscape. - Experience scaling technical enablement within Hyperscaler environments (AWS, Azure, or GCP) or similar high-growth cloud partner ecosystems. - Prior experience as part of a technical delivery team implementing Data & AI projects for external clients. 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 $182,400 - $250,800 USD Zone 2 Pay Range $164,200 - $225,700 USD Zone 3 Pay Range $155,000 - $213,200 USD Zone 4 Pay Range $145,900 - $200,650 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.
Partner Sales Director, Manufacturing & Energy
SLSQ227R148 As Partner Sales Director for Manufacturing & Energy, you own the partner go-to-market strategy for the vertical — architecting joint solutions with our most strategic partners, building durable pipeline, and holding partners accountable to execution that converts to partner-sourced and partner-influenced consumption. This is a highly visible, strategic role: you set the agenda across Sales, Field Engineering, Marketing, Partner Solution Architecture, and the partner ecosystem, and you carry Databricks' Manufacturing & Energy partner narrative to senior partner and customer executives. You will own and grow relationships with strategic partners across the vertical — including global and regional systems integrators such as Accenture, Deloitte, Capgemini, and IBM, and specialist data and AI partners — and you bring deep industry knowledge and an operator's mindset powered by modern AI tooling. Reporting to the Senior Director, Partner Sales. The impact you will have: - Build and own the pipeline engine — architect the Manufacturing & Energy partner GTM strategy and convert it into durable, partner-sourced and partner-influenced pipeline and consumption across the vertical. - Drive partner execution and accountability — hold strategic SI/ISV partners to joint commitments; inspect co-sell motions rigorously and remove friction so partners execute effectively against shared pipeline and revenue goals. - Lead solution development with partners — co-create differentiated, industry-specific joint solutions, accelerators, and repeatable GTM plays that pair partner capability with the Databricks platform to solve high-value Manufacturing & Energy use cases. - Run a disciplined operating cadence — pipeline reviews, forecast, and KPI inspection anchored to Salesforce as the system of record; report impact, not activity. - Own the executive relationship and narrative — build joint business plans and executive-ready narratives, and represent Databricks credibly to senior partner and customer leadership. - Orchestrate cross-functional alignment — set direction across Sales, Field Engineering, Marketing, Partner Solution Architecture, and partner leadership, resolving friction and keeping strategic deals moving. - Apply an operator mindset with AI-driven tools to improve forecasting accuracy, pipeline quality, solution development speed, and partner attribution. What we look for: - 8+ years in partner/alliance sales, channel, or GTM at an enterprise software, cloud, or data company; proven track record of building partner-sourced pipeline and driving measurable revenue impact. - Demonstrated ability to hold partners accountable and drive effective joint execution — from account planning through co-sell to closed consumption. - Experience developing joint solutions with SI/ISV partners — translating industry use cases into repeatable, differentiated offerings. - Track record of cross-functional leadership across Sales, Field/technical, Marketing, and partners in a matrixed environment. - Strong executive presence — shapes a business narrative and aligns senior internal, partner, and customer stakeholders. - Operational rigor: clean pipeline hygiene, KPI discipline, and data-driven inspection. - Industry fluency and across Manufacturing and Energy — understanding of the sector value chain and how data and AI create value across it; ability to translate industry use cases into joint partner solutions and GTM plays. - Demonstrated expertise across Energy sub-sectors (Oil & Gas, Power & Utilities), leading cross-functional initiatives in complex regulatory environments - Fluency with modern AI productivity tools to drive analysis, solution development, and operating efficiency. - Ability to travel as needed (approximately 25–40%) for partner business reviews, account-planning workshops, industry summits, and customer/partner executive engagements. 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 $143,700 - $197,550 USD Zone 2 Pay Range $143,700 - $197,550 USD Zone 3 Pay Range $143,700 - $197,550 USD Zone 4 Pay Range $143,700 - $197,550 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Partner Sales Director, Digital Native
FEQ227R112 As Partner Sales Director for DNB (Digital Native Business), you own the partner go-to-market strategy — architecting joint solutions with our most strategic partners, building durable pipelines, and holding partners accountable to execution that converts to partner-sourced and partner-influenced consumption. This is a highly visible, strategic role: you set the agenda across Sales, Field Engineering, Marketing, Partner Solution Architecture, and the partner ecosystem, and you carry Databricks' DNB partner narrative to senior partner and customer executives. You will own and grow relationships with strategic partners across the business — including global and regional systems integrators such as Accenture, Deloitte, Capgemini, and IBM, and specialist data and AI partners — and you bring deep industry knowledge and an operator's mindset powered by modern AI tooling. Reporting to the Vice President of AMER Partner Sales. The impact you will have: - DNB Partner Territory Plan - You will own the partner territory plan for the DNB business. - Own the executive relationship and narrative — build joint business plans and executive-ready narratives, and represent Databricks credibly to senior partner and customer leadership. - Orchestrate cross-functional alignment — set direction across Sales, Field Engineering, Marketing, Partner Solution Architecture, and partner leadership, resolving friction and keeping strategic deals moving. - Build and own the pipeline engine — architect the DNB partner GTM strategy and convert it into durable, partner-sourced and partner-influenced pipeline and consumption across the vertical. - Drive partner execution and accountability — hold strategic SI/ISV partners to joint commitments; inspect co-sell motions rigorously and remove friction so partners execute effectively against shared pipeline and revenue goals. - Lead solution development with partners — co-create differentiated, industry-specific joint solutions, accelerators, and repeatable GTM plays that pair partner capability with the Databricks platform to solve high-value DNB use cases. - Run a disciplined operating cadence — pipeline reviews, forecast, and KPI inspection anchored to Salesforce as the system of record; report impact, not activity. - Apply an operator mindset with AI-driven tools to improve forecasting accuracy, pipeline quality, solution development speed, and partner attribution. What we look for: - 8+ years in partner/alliance sales, channel, or GTM at an enterprise software, cloud, or data company; proven track record of building partner-sourced pipeline and driving measurable revenue impact. - Demonstrated ability to hold partners accountable and drive effective joint execution — from account planning through co-sell to closed consumption. - Experience developing joint solutions with SI/ISV partners — translating industry use cases into repeatable, differentiated offerings. - Track record of cross-functional leadership across Sales, Field/technical, Marketing, and partners in a matrixed environment. - Strong executive presence — shapes a business narrative and aligns senior internal, partner, and customer stakeholders. - Operational rigor: clean pipeline hygiene, KPI discipline, and data-driven inspection. - Industry fluency — understanding of the sector value chain and how data and AI create value across it; ability to translate industry use cases into joint partner solutions and GTM plays. - Fluency with modern AI productivity tools to drive analysis, solution development, and operating efficiency. - Ability to travel as needed (approximately 25–40%) for partner business reviews, account-planning workshops, industry summits, and customer/partner executive engagements. 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 $143,700 - $197,550 USD Zone 2 Pay Range $143,700 - $197,550 USD Zone 3 Pay Range $143,700 - $197,550 USD Zone 4 Pay Range $143,700 - $197,550 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Partner Engineer: Partner Intelligence, AI & Apps
RDQ427R535 At Databricks , we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role This partner intelligence engineer owns the internal tooling that runs the ISV partner organization: the pipelines, dashboards, Genie spaces, metric views, and the AI applications and workflows we use to operate the partner business. You will build and maintain that stack on Databricks and use the platform heavily, every day. You will also work with the Apps and AI teams as an early user of new features, and with Developer Relations to share what you build. The role is based in San Francisco and reports into Partner Engineering. Impact you will have - Data pipelines and quality: Build, schedule, and maintain the data pipelines that run the partner business, and own their quality, monitoring, and governance. - Partner metrics and measurement: Own how we measure partners: the metrics, metric views, and definitions that serve as the source of truth for partner performance and health. - Reporting and self-serve analytics: Build and maintain the dashboards, Genie spaces, and apps the team uses to run the business day to day. - Internal AI apps: Build AI applications and agentic workflows that automate how we run the partner business. - Partner AI platforms: Build real internal tools on partner products like Replit, Lovable, Cursor, Claude, and Codex, and bring what you learn about their strengths and gaps back to the AI and Apps partnerships. - Early Databricks adopter and DevRel: Try new Databricks features early (Apps, Genie, metric views, AI/BI, Lakebase, Agent Bricks), give product teams direct feedback, and work with Developer Relations to turn what you build into reusable examples. Required Qualifications - 3+ years in data engineering, analytics engineering, or a similar hands-on data or AI role. - Heavy hands-on production experience with Databricks data engineering and analytics tool - Strong SQL and Python, with experience building and maintaining production data pipelines. - Experience building the analytics layer a team runs on: dashboards, semantic or metric layers, and clear metric definitions. - Experience building AI applications or agentic workflows (LLM-powered apps and automations). - Regular hands-on use of AI code-gen and app-building tools (Replit, Lovable, Cursor, Claude, Codex). You use them in your day-to-day work. - Clear communicator who works well in fast-moving, sometimes ambiguous situations. - Strong propensity for GSD → Gets Stuff Done! Preferred - Depth in Databricks analytics and AI features: Genie, AI/BI, metric views, Lakebase, Agent Bricks. - dbt or a similar transformation framework, and modern analytics-engineering practices. - Experience defining business metrics and KPI frameworks. - Open-source contributions or community work in data and AI. 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 1 Pay Range $101,900 - $140,150 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.
Partner Enablement Operations Manager
FEQ327R583 The Partner Enablement Operations Manager is a senior operator and builder responsible for designing and running a scalable, predictable, and data-driven operating model for partner enablement at Databricks. This role serves as the operational backbone and strategic integrator for partner enablement, connecting global strategy to the execution across AMER, EMEA, and APJ regions while ensuring programs are delivered consistently, efficiently, and at scale. The ideal candidate brings strong executive presence, systems thinking, and a bias for automation. They know how to reduce operational friction, build governance that scales, and introduce AI-enabled workflows that improve responsiveness without adding unnecessary complexity or headcount. We are looking for a builder who can architect operating systems and drive scalability and excellence for the future. What You’ll Do - Own the partner enablement operating model, including core planning cadences, governance mechanisms, and execution frameworks that connect strategy to execution. - Run QBRs, MBRs, and executive reviews for partner enablement leadership, using clear metrics and forward-looking insights to drive accountability and decision-making. - Lead end-to-end execution of partner enablement initiatives, ensuring timelines, dependencies, and deliverables are managed effectively across functions and regions. - Build and maintain dashboards and operating reviews that surface partner engagement, program performance, risk signals, and areas requiring intervention. - Act as a key point of contact for cross-regional operational issues and escalations, resolving immediate friction while converting recurring issues into structural improvements. - Design and implement scalable workflows, SOPs, SLAs, and intake mechanisms that improve consistency, reduce manual effort, and create a better experience for internal stakeholders and partners. - Introduce AI-enabled and automation-first workflows for intake, reporting, support, certification, and partner operations where they can safely improve speed, quality, and scale. - Collaborate closely with the Partner organization, Learning and Enablement, Professional Services, and other cross-functional teams to remove friction and improve execution across the partner ecosystem. - Partner closely with the broader operations business to drive cross-functional leverage of ideas and excellence, ensuring new methods and operational innovations are scaled beyond just partner operations. - Establish clear ownership models, decision rights, and governance guardrails to support regional nuance without creating shadow processes or operational inconsistencies. What You Bring Required Qualifications - 10+ years of experience in Learning Operations, Program Management, Professional Services Operations, or a related operational leadership field in a high-growth technology environment. - Proven experience supporting global or multi-region teams and translating central strategy into executable operating plans. - Preferred experience in the Data & AI space, with a strong understanding of Databricks' platform capabilities, key differentiators, and end-to-end solutions, and the ability to work effectively with technical stakeholders. - Demonstrated ownership of operating cadence, forecasting, planning, and execution frameworks in a complex, matrixed environment. - Strong analytical capability and the ability to turn data into executive insight, operational decisions, and measurable business outcomes. - Experience improving processes and workflows, with a clear track record of reducing manual effort and increasing scale through automation or AI-enabled solutions. - Strong stakeholder management skills and the ability to influence senior leaders across functions without direct authority. - Ability to work independently, manage priorities across time zones, and drive execution in ambiguous, fast-moving environments. - Must be open to working a flexible schedule, including frequent late hours to accommodate discussions with the broader enablement team and partner liaisons, the majority of whom are based in the AMER timezone. Preferred Qualifications - Experience in partner enablement, customer education, learning operations, or training operations. - Deep expertise working with and for System Integrators (SIs) and ISVs, with a strong grasp of their core operational principles and business models. - Fluency with AI tools, workflow automation, and analytics platforms used to streamline operations and generate actionable insights. - Strong commercial and operational acumen, including comfort with utilization, forecasting, partner spend, margin thinking, or RevOps-aligned execution. - Experience operating in a highly matrixed international environment with sensitivity to regional and cultural nuance. Why Join Us You will play a central role in shaping how partner enablement scales at Databricks. This is a high-visibility role with meaningful impact, offering the opportunity to build a more efficient, governed, and AI-enabled operating model that helps our partner ecosystem grow with the business. If you enjoy turning ambiguity into structure, building systems that remove friction, and helping teams scale through better operations rather than more manual work, this role is for you. Success Metrics - Operational Predictability: Build a disciplined partner enablement operating cadence where risks are surfaced early and execution is measurable and consistent. - Stakeholder Experience and Self-Sufficiency: Increase the percentage of standard partner enablement requests handled through structured, low-touch, or self-service workflows. - Escalation Management and Process Resilience: Reduce recurring operational friction by improving escalation handling, clarifying ownership, and improving systemic resolution of recurring issues. - Scalable Execution: Improve throughput, consistency, and delivery quality across global partner enablement programs without relying on incremental manual work. - AI-Enabled Transformation: Deploy practical AI-enabled workflows that improve speed, visibility, and efficiency across intake, reporting, support, and partner operations. 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.
P2P Data & Automation Analyst
GAQ327R181 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is executing a multi-year Procure-to-Pay transformation spanning an expense management platform migration, the BrickBuy enterprise procurement portal, a managed services onboarding, and policy and process redesign initiatives. This role sits embedded within Procurement — not in a central IT or analytics function — and operates in accordance with the Finance Data Strategy governance framework to drive rapid P2P process transformation by designing, deploying, and scaling automation and data solutions directly within business workflows. This is a builder role for someone who wants to own outcomes, not tickets: the person will sit inside the processes they are automating, ship working solutions in weeks rather than quarters, and carry them through adoption — pairing hands-on technical delivery with the change management discipline needed to make new ways of working stick. The impact you will have: - Business process ownership. Own designated P2P sub-processes end to end — intake-to-PO, invoice exception handling, supplier onboarding, expense workflows — including process mapping, baseline metrics (cycle time, touch rates, exception volumes), and redesign. Act as the recognized process owner who is accountable for how the process performs, not just how it is documented. - Requirements & solution design. Translate pain points raised by requesters, approvers, buyers, and AP into structured requirements and solution designs. Work within the Finance Data Strategy governance framework for data definitions, source-of-truth alignment, access controls, and quality standards — solutions must tie to certified Finance data, not shadow datasets. - Embedded automation. Design, deploy, and scale automations directly within business workflows and the systems where work actually happens (ZIP, SAP, NetSuite, expense platform, BrickBuy) — including AI/LLM-assisted triage, auto-routing, data enrichment, exception auto-resolution, and notification/nudge logic. Build in production-adjacent environments with appropriate guardrails rather than standalone tools users must remember to visit. - Rapid iteration. Operate on a ship-measure-iterate cadence: release minimum viable automations in weeks, instrument them from day one, and refine based on usage data and user feedback. Maintain sandbox-to-production discipline consistent with Finance Data Strategy and SOX/control requirements. - Data & measurement. Build and maintain the P2P datasets, dashboards, and metrics that the transformation runs on — cycle time, Fast Pass performance, first-pass yield, policy compliance, automation coverage, and adoption rates — and report against them in existing operating rhythms (e.g., quarterly business reviews), with numbers that tie across reports and to source data. - User adoption & change management. Own the adoption of what you build. Design role-based training and enablement for affected requesters, approvers, and P2P operations staff; produce launch communications, FAQ/help content, and go-live announcements in a style consistent with executive reporting norms (concise, structured, blockers called out explicitly); run feedback loops with change champions across subsidiaries; and actively identify and mitigate resistance rather than assuming usage will follow deployment. - Day-to-day prioritization. Run the intake and backlog for automation and data requests across Procurement: triage incoming asks, prioritize by value, effort, and risk, publish a visible roadmap, and make defensible trade-off calls daily — protecting capacity for transformation priorities while handling operational requests. - Stakeholder engagement. Partner closely with Procurement operations, the Finance Data team, the CIO org, and managed services partners; represent Procurement in Finance Data Strategy governance forums; and ensure automation work lands coherently alongside parallel workstreams (expense platform migration, BrickBuy rollout, Global Procurement Policy adoption, managed services transition). What we look for: - 4–8 years in data analytics, process automation, or operations roles within P2P, procurement, or finance — with demonstrable examples of automations or data products you built, shipped, and scaled yourself. - Hands-on technical skills: SQL and Python (or equivalent), workflow and integration tooling (iPaaS, RPA, or native platform automation), and dashboarding/BI. Experience building on the Databricks platform and applying LLM/AI tooling to business workflows is a strong plus. - Working knowledge of P2P systems and data — ERP (SAP or NetSuite), procurement intake/orchestration platforms (ZIP or similar), and expense management tools — including how transactions, approvals, and master data flow between them. - Experience operating within a data governance framework: certified data sources, data quality standards, access controls, and audit/SOX considerations — comfortable moving fast without going around governance. - Change management fluency: track record of driving adoption of new tools or processes through training, communications, champion networks, and adoption metrics — not just deploying and moving on. - Strong prioritization judgment and stakeholder management: able to run a busy intake, say no with a rationale, and communicate crisply to audiences from frontline requesters to executives. - Experience in a high-growth, multi-entity organization (multiple subsidiaries/geographies) is a plus; formal change management certification (Prosci, ADKAR, or equivalent) or process improvement certification (Lean/Six Sigma) preferred but not 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 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 1 Pay Range $186,000 - $255,750 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $167,400 - $230,250 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 3 Pay Range $158,100 - $217,350 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 4 Pay Range $148,800 - $204,600 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.
Named Hunter Account Executive - Digital Natives
SLSQ327R639 As a Digital Native Account Executive at Databricks, you have strong command of the SaaS sales process. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to prospective customers and partners. Always prospecting for new opportunities, you will be targeting into net new accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager. The impact you will have: - Assess your accounts and develop a strategy to identify and engage all buying centers - Use a solution approach to selling and creating value for customers - Identify the most viable use cases in each account to maximize Databricks impact - Orchestrate and work with teams to maximize the impact on your ecosystem - Build value with all engagements to promote successful negotiations to close point - Promote Databricks enterprise cloud data platform powered by Apache Spark - Be Customer focused by delivering technical and business results using the Databricks Platform - Promote Teamwork...it makes the Dreamwork! What we look for: - You have previously worked in an early-stage company and you know how to navigate and be successful in a fast growing organization. - Sales experience within big data, Cloud, or SaaS sales - Prior customer relationships with CIOs and important decision-makers - Simply articulate intricate cloud technologies and big data - Experience exceeding sales quotas - Success closing new business to net new accounts - 5+ years of sales experience in SaaS/PaaS companies - Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $272,000 - $374,000 USD Zone 2 Pay Range $272,000 - $374,000 USD Zone 3 Pay Range $272,000 - $374,000 USD Zone 4 Pay Range $272,000 - $374,000 USD 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.
Get tailored job alerts, not another account to manage
Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.
Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.