Staff GenAI Research Scientist - Retrieval

P-1214

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 Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks 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 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
• Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
• Drive algorithmic innovations for Retrieval within Large Language Models. 
• Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

• 5+ years of 
• PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
• Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

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 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 does so by producing novel science and putting it into production. 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.

Job Description 

As a Sr. Research Scientist on the Scaling team, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Sr. Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on foundation model efficiency in model training and reinforcement learning, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches
• Drive algorithmic innovations for large-scale neural network training or inference (e.g., novel optimizers, low-precision techniques, model adaptation methods)
• Optimize ML systems for distributed training, memory efficiency, and compute efficiency through hands-on implementation.

What We Look for

• MS/PhD in Computer Science or related field with strong foundations in machine learning and systems
• Proven ability to write high-quality, efficient code in Python and PyTorch for research implementation and experimentation
• Strong preference for candidates with first-author publications at top ML/systems conferences (ICLR, ICML, NeurIPS, MLSys) focused on optimization or efficiency.

GAQ127R112

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is looking for a Senior Financial Analyst to join our G&A FP&A Team in our mission to help data teams solve the world's toughest problems. You will report to the Sr. Finance Manager, and will be a key finance partner to the G&A organizations.

You will serve as a trusted advisor to provide the financial insights, analysis, and guidance to optimize investment decisions and accelerate business growth. You will improve forecast reliability, enhance corporate reporting, partner with IT, People and Legal across different levels, and help the business to be successful and achieve its goals, grounded in financial reality and modeling, and analysis.

The impact you will have:

• Be the key Finance partner to IT, People and Legal leaders and their teams, including:
• Partner with the business to drive forecast accuracy
• Prepare and own budget vs. actual variance analysis and other relevant reporting
• Build, maintain and improve detailed financial models that track and analyze functional costs and their impact cross-functionally and on the company’s overall performance, including but not limited to the Recruiting Capacity model and IT CAPEX forecast
• Collaborate with the Accounting on accruals and other elements of the close process
• Assist with and manage frequent ad hoc requests and strategic projects to support senior leaders in making informed business decisions
• Participate in the company’s long-range strategic planning
• Lead process and system improvement and scaling projects for your area to drive the company’s continued growth and scaling.  

What we look for:

• Bachelor's Degree in Business, Finance, Economics, Accounting, or a comparable quantitative field
• 4+ years of FP&A, Strategic Finance, or related experience (e.g., Investment Banking, Management Consulting), with a focus on technology; familiarity with the software industry, SaaS business, or consumption-based models
• Experience with supporting G&A functions is a plus
• Experience in building financial models independently and preparing recommendations
• Excellent analytical, organizational, and collaboration skills
• Knowledge of generally accepted accounting principles and experience with GAAP and non-GAAP financial metrics
• High competency with systems such as Anaplan or Pigment, Workday, Netsuite, Salesforce, Coupa, and Zip
• Prior experience using SQL or willingness to learn is a plus

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 pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Mosaic AI does so by producing novel science and putting it into production. 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

As a research engineer on the Scaling team, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a research engineer on the Scaling Team at Databricks, you will: 

• Drive performance improvements through advanced optimization techniques including kernel fusion, mixed precision, memory layout optimization, tiling strategies, and tensorization for training-specific patterns
• Design, implement, and optimize high-performance GPU kernels for training workloads (e.g., attention mechanisms, custom layers, gradient computation, activation functions) targeting NVIDIA architectures
• Design and implement distributed training frameworks for large language models, including parallelism strategies (data, tensor, pipeline, ZeRO-based) and optimized communication patterns for gradient synchronization and collective operations
• Profile, debug, and optimize end-to-end training workflows to identify and resolve performance bottlenecks, applying memory optimization techniques like activation checkpointing, gradient sharding, and mixed precision training.

What We Look for

• BS/MS/PhD in Computer Science or related field with hands-on experience writing and tuning CUDA kernels for ML training applications, or hands-on experience in distributed training frameworks (PyTorch DDP, DeepSpeed, Megatron-LM, FSDP) 
• Strong understanding of NVIDIA GPU architecture (memory hierarchy, tensor cores, warp scheduling, SM occupancy) and proficiency with CUDA debugging/profiling tools (Nsight, NVProf)
• Deep understanding of parallelism techniques and memory optimization strategies for large-scale model training, with proven ability to debug and optimize distributed workloads
• Strong software engineering skills in Python and PyTorch, with experience supporting production training workflows and knowledge of LLM training dynamics including hyperparameter tuning and optimization strategies.

SLSQ227R297

As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. 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:

• Build a territory plan within 30 days with a clear account prioritization strategy.
• Align existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic deals.
• Maintain clear Salesforce and Clari hygiene, including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer-first mindset and focus on business value

What we look for:

• 2+ years of closing sales experience
• Prior experience in big data, Cloud, or SaaS sales
• Be able to quickly learn new technologies and value propositions
• Experience exceeding sales KPIs and quotas

As a Sr. Solutions Architect at Databricks within the Field Engineering org, you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge, and can drive complex technology discussions that express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams, with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customers' needs, build valuable customer engagements, and report to the Field Engineering Manager.

The impact you will have:

• You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
• You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
• Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 8+ years in a customer-facing pre-sales or consulting role with expertise in at least one of the following technologies:
• Big data engineering (Ex: Spark, Hadoop, Kafka)
• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
• Fluent in SQL and database technology.
• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
• [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Travel to customers in your region up to 30% of the time.

Staff Software Engineer - AI Research Infrastructure

P-1215

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 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 does so by producing novel science and putting it into production. 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.

Job Description

As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.

You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have

As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: 

• Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)
• Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.
• Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.
• Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.
• Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for

• BS/MS or PhD in Computer Science or related field
• 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.
• Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.
• Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.
• Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).
• Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.
• Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.
• Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

Job Req: SLSQ427R270

Locations: 

San Francisco/ Seattle

The Cloud & AI Partnerships team is responsible for establishing durable long-term alliances with the world's most important technology companies in the Data & AI ecosystem.We are looking for a Sr. Alliance Director, AI GTM to facilitate Go-To-Market (GTM) strategies with our strategic AI partnerships — including our alliances with Anthropic, OpenAI, and Google Gemini. This role demands a rare combination of skills: the GTM fluency of a strategic alliance & business development leader and the Generative AI domain expertise needed to build targeted programmatic GTM motions that create and convert pipeline across our global field organizations. This role requires established, existing relationships within the leadership/GTM functions of major AI labs and cloud providers, ensuring immediate credibility and accelerated collaboration.

You will set GTM strategy, manage co-sell investment programs, build relationships between Databricks GTM executives and their counterparts at the world's leading AI labs, and drive measurable business outcomes through co-sell and field enablement initiatives.

You will operate with a high degree of autonomy, report into the VP of Cloud & AI Partnerships, and collaborate cross-functionally with product & engineering, sales, and marketing. This is a fast-paced, high-visibility role for someone who thrives in complexity and wants to be at the center of the most consequential partnerships in enterprise AI.

The impact you will have:

• Serve as the primary point-of-contact for senior GTM stakeholders at Anthropic, OpenAI, and Google, cultivating trusted, multi-threaded relationships at each level of the org chart across sales and field engineering. 
• Build and manage a QBR and Executive Business Review cadence with each AI partner, anchored on shared GTM goals and co-sell programs.
• Develop and maintain partnership co-sell KPIs and the overarching partner GTM governance framework to provide visibility into the health of programmatic co-sell motions.
• Develop and execute an overarching co-sell strategy across AI Lab partners, including account segmentation and propensity analysis to identify high-impact joint opportunities.
• Plan and operationalize in-person and virtual co-sell programs — including co-sell days, joint pipeline reviews, and partner-led field events — to accelerate top-of-funnel growth and mid-funnel conversion.
• Deliver regular program performance readouts to global sales and partnership leadership, surfacing insights and recommending course corrections.
• Build and manage streamlined partner funding programs designed to accelerate customer adoption of AI solutions
• Collaborate with enablement and commercialization teams within Databricks to drive board awareness & utilization of funding and customer success programs. 
• Partner with product, engineering, and commercial teams to shape the long-term AI model integration roadmap and develop compelling 'better together' messaging for each AI Lab relationship.
• Collaborate with industry GTM teams, ISV and consulting partners, marketing, and corporate development to build joint sales plays, offers, and assets that grow top-of-funnel and increase conversion.
• Develop and maintain field enablement content to equip internal & external field teams with the knowledge and tools to execute on joint GTM priorities and articulate differentiated 'better together' value propositions.

What we look for:

• 10+ years of experience in business development, strategic partnerships, alliance management, or GTM strategy, with a meaningful portion of that time spent in the Cloud and AI ecosystem.
• Proven track record building GTM programs and growing high-visibility partnerships with major technology companies, ideally cloud hyper-scalers or frontier model providers.
• Deep understanding of Generative AI products, go-to-market models, and the competitive AI landscape, including familiarity with the positioning and capabilities of Anthropic, OpenAI, Google, and comparable frontier model providers.
• Experience in Generative AI product development, GTM, or alliance roles is strongly preferred
• Analytical rigor: able to build first-principles business cases, model consumption, and derive data-driven insights to support partnership investment and program prioritization decisions.
• Strong GTM fluency, including familiarity with enterprise co-sell motions, account segmentation methodologies, pipeline management, and field enablement strategies.
• Excellent communication and executive presence — capable of distilling complex multi-dimensional analyses into clear, compelling narratives for senior internal and external audiences.
• Strong cross-functional leadership, ownership mindset, and bias for action. Comfortable driving deal and program processes autonomously while mobilizing large, matrixed organizations.
• MBA or equivalent advanced degree preferred. Bachelor's degree in Computer Science, Engineering, or related field, or demonstrated technical aptitude, is a plus.

RDQ226R497

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. 

You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. 

This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Design and launch new governance and security capabilities as part of Unity Catalog.
• Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
• Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.
• Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. 

What we look for:

• 5+ years of enterprise B2B Product Management experience
• Educational background in computer science or related engineering practice.
• Experience working with databases and/or data warehouses, security, and catalogs.
• Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.
• Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
• Experience in working closely with enterprise customers and ISV partners in the data market.

RDQ226R497

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. 

You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. 

This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Design and launch new governance and security capabilities as part of Unity Catalog.
• Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
• Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.
• Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. 

What we look for:

• 5+ years of enterprise B2B Product Management experience
• Educational background in computer science or related engineering practice.
• Experience working with databases and/or data warehouses, security, and catalogs.
• Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.
• Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
• Experience in working closely with enterprise customers and ISV partners in the data market.

Principal Research Scientist – AI Scaling & Optimization

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 systems using their own data; from pre-training LLMs from scratch to state-of-the-art retrieval-augmented generation by producing novel science and putting it into production.

We believe a company’s AI models are a core part of their IP, and that high‑quality AI models 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.

FEQ327R144

As a Partner Solutions Architect, you will focus on cultivating technical relationships with one of our largest Global C&SI partners. You will strengthen our relationships with key data and application leaders to accelerate indirect revenue, enable their data and application development practices, and execute on long-term GTM strategy.

The impact you will have:

• Strategic Technical Partnership: Be a technical partner and thought leader to the Databricks GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. You will embed with the partner technical teams to enable their practices, support troubleshooting, evangelize Databricks in their developer communities, and serve as an escalation point for complex technical issues.
• Joint Solution Development: Collaborate with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment.
• Customer Deal Support: Intervene directly to unblock strategic customer deals where the partner is the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
• Partner Ecosystem & Events: Represent Databricks at partner events (PKO, DAIS, EBC, etc), customer workshops, AWS/Azure summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. 
• Product Feedback: Validate and gather feedback on Databricks products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant product teams to inform product roadmap and partner strategy.

What we look for:

• 8+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
• Track record of successfully partnering with Global C&SIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering & IT teams, and more
• Strong presentation & technical communication skills with technical and business stakeholders
• Familiarity with common Agentic frameworks, application development, or a background in machine learning or data science
• Excitement to engage in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing AI systems
• Can travel up to 30% when needed

P-1107

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.

Customers trust Databricks with their most valuable data, and our Trust & Safety organization has the mission to build the most trusted Data and AI platform in the world. We are looking for a Senior Engineering Manager to lead foundational teams within Trust and Safety and define the strategy for how our core platform services are built and scaled. You will lead teams owning critical infrastructure and services that must be highly reliable, secure, and fast under extreme load.

The impact you will have:

• Define and drive the strategy for foundational systems operating at cloud scale.
• Build and scale a high-performing engineering team focused on large-scale distributed architecture, reliability, and security.
• Provide technical oversight on architecture and design for components that can operate at massive scale, with high requirements for reliability, security, and performance.
• Partner with engineering and product leaders across Databricks to embed secure, scalable solutions into every aspect of our product.
• Ensure alignment with industry best practices, helping customers meet their own governance, privacy, and security needs.
• Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.

What we look for:

• Experience in software engineering, with significant engineering leadership experience in a fast-paced, dynamic environment.
• Experience building large-scale distributed systems with high availability and complex requirements.
• Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.
• Proven success driving cross-functional initiatives and influencing leaders without direct authority.
• Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.
• Strong communication and leadership skills, with the ability to inspire both teams and stakeholders.
• BS, MS, or PhD in Computer Science or a related technical field.

Staff Software Engineer - AI Research Infrastructure

P-1215

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 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 does so by producing novel science and putting it into production. 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.

Job Description

As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.

You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have

As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: 

• Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)
• Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.
• Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.
• Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.
• Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for

• BS/MS or PhD in Computer Science or related field
• 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.
• Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.
• Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.
• Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).
• Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.
• Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.
• Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

GAQ327R186

We’re seeking a highly experienced Senior Executive Assistant to provide comprehensive support to our Chief Operating Officer (COO). This role is ideal for someone with extensive experience supporting senior leaders in fast-paced, high-growth environments, particularly within global software or technology organizations. As a trusted partner to the COO, you will play a pivotal role in operationalizing strategic initiatives, managing complex scheduling needs, and driving cross-functional collaboration across departments such as Sales, Marketing, Engineering, People, and Product. You will also oversee the planning and execution of strategic events and community-building initiatives for the team.

In addition to these responsibilities, this role requires expertise in managing global travel logistics and customer engagement planning to maximize the COO’s impact during business trips.

The Impact You Will Have:

• Ensure the COO is fully prepared for all meetings with an accurate, forward-looking calendar.
• Navigate shifting priorities and high-pressure environments with unyielding grit, maintaining a "calm in the storm" presence.
• Deploy a deep functional comfort with AI tools to synthesize data, automate routine administration, and accelerate decision-making cycles.
• Proactively manage and prioritize the COO’s schedule to optimize productivity.
• Coordinate with internal and external stakeholders to ensure timely responses and seamless communication.
• Enhance the COO’s efficiency by streamlining workflows, enabling a more productive team and company.
• Execute strategic initiatives with precision, delivering measurable outcomes.
• Curate customer engagement plans for business travel to ensure maximum impact.

Responsibilities:

Calendar Management

• Organize all meetings, including team meetings, customer engagements, and internal business partner discussions across international time zones.
• Build and maintain records of all meeting requests while adhering to strict SLAs for responses.
• Ensure every meeting is high-intent, featuring detailed agendas and AI-generated pre-reads and summaries.

Global Travel Planning

• Manage complex global travel arrangements for the COO, who travels at least one week per month (domestic and/or international).
• Use AI tools to research travel efficiencies, automate expense management, and perform sentiment analysis on account data prior to customer meetings.
• Partner with account teams to identify high-value customer meetings, reviewing account data and spend to ensure travel yields maximum ROI.
• Handle end-to-end travel logistics while maintaining attention to detail in itineraries.

Cross-Functional Collaboration

• Serve as a high-grit liaison between the COO and senior leadership, driving accountability on long-term projects despite shifting sands.
• Track dozens of concurrent workstreams across Engineering and Go-To-Market functions, ensuring no "broken threads" in communication.

Event Management

• Plan offsite meetings, events, and programs in support of the COO and their team.

Administrative Support

• Provide coverage for other executive staff members during absences (e.g., PTO or maternity leave).
• Assist in preparing expense reports promptly.

Competencies:

Experience: Minimum of 10+ years of executive administrative and/or program management experience supporting C-Suite level executives in global software or technology organizations.

• Proven expertise in managing global travel logistics for executives.
• Experience working with VPs/SVPs overseeing large teams (2,000+ employees) in technical roles such as engineering or customer-facing functions.
• Familiarity with high-growth environments and hyper-scaling companies.

Skills:

• Exceptional organizational skills with a high level of attention to detail.
• Proficiency in Google Calendar and Gmail suite for calendaring, organization, and presentation creation, editing needs
• Proficiency with the use of AI to help with travel planning and other administrative tasks.
• Strong relationship management skills; ability to build networks across departments.
• Excellent oral and written communication skills tailored for senior leaders and external partners.
• Ability to synthesize business/customer data into actionable insights for strategic planning.
• Ability to prioritize and thrive in a high-paced environment.

Attributes:

• Ability to work under pressure with shifting priorities while maintaining professionalism.
• Proactive problem-solving capabilities with a focus on delivering results.
• Possess the mental toughness to thrive in environments where the roadmap changes weekly. You are energized, not drained, by speed and ambiguity.
• You don't wait for instructions; you anticipate needs three steps ahead and execute with minimal supervision.

RDQ427R179

Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action?

As the Lead for Databricks for Good, you will own Databricks’ social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges.

You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters.

About Databricks for Good

At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity’s most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action.

This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact.

What you’ll do

Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners. 

• Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision.
• Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs.
• Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums.
• Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges.
• Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good.
• Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities.
• Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations.
• Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction.

The impact you will have

• Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry.
• Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI.
• Build durable partnerships that align Databricks’ strengths with real-world societal needs.
• Inspire employees, customers, and students to contribute their skills toward meaningful causes.
• Influence how Databricks technologies are used, taught, and evolved for public good.
• Help define what “data and AI for good” looks like at enterprise scale.

What we look for

• 7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field.
• Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes.
• Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations.
• High-level technical understanding of Databricks’ product-market fit, enabling robust direction of partnerships and engagement selection.
• Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences.
• Demonstrated ability to convene communities and stakeholders across sectors and geographies.
• High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum.
• A collaborative mindset and a track record of working cross-functionally to turn ideas into execution.

RDQ427R179

Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action?

As the Lead for Databricks for Good, you will own Databricks’ social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges.

You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters.

About Databricks for Good

At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity’s most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action.

This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact.

What you’ll do

Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners. 

• Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision.
• Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs.
• Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums.
• Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges.
• Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good.
• Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities.
• Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations.
• Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction.

The impact you will have

• Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry.
• Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI.
• Build durable partnerships that align Databricks’ strengths with real-world societal needs.
• Inspire employees, customers, and students to contribute their skills toward meaningful causes.
• Influence how Databricks technologies are used, taught, and evolved for public good.
• Help define what “data and AI for good” looks like at enterprise scale.

What we look for

• 7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field.
• Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes.
• Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations.
• High-level technical understanding of Databricks’ product-market fit, enabling robust direction of partnerships and engagement selection.
• Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences.
• Demonstrated ability to convene communities and stakeholders across sectors and geographies.
• High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum.
• A collaborative mindset and a track record of working cross-functionally to turn ideas into execution.

As a Hunter Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Work directly with prospective, greenfield, customers on their 0 to 1 journey with Databricks 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems at scale 
• Comfortable programming in, and debugging, Python and SQL
• Experience using agentic coding harnesses and demonstrable experience scaling your work leveraging them 
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

MKTQ125R59

Databricks is seeking a Director, Paid Media to lead our global media planning function and define how paid media supports brand awareness, demand generation, and pipeline growth across the full funnel. 

You will lead a team of global media planners to develop audience-first, account-focused strategies that engage both technical practitioners and executive decision-makers across priority accounts. This highly cross-functional role partners closely with Corporate Brand, Product Marketing, Integrated Campaigns, Field Marketing, Analytics, and external agencies to deliver cohesive, data-driven media strategies at scale.

The impact you will have:

• Guide the development of cross-channel media strategies that deliver measurable year-over-year increases in brand awareness, target account engagement, and pipeline contribution across integrated campaigns and priority product areas.
• Build and scale a high-performing global media strategy organization by hiring and developing top talent, increasing talent density, scalability, and strategic output over time.
• Create an environment of continuous learning with clear expectations, coaching, and growth opportunities, resulting in improved team performance, stronger bench strength, and readiness to support evolving business priorities.
• Establish and scale global media planning frameworks, processes, and best practices that improve consistency and efficiency across regions and campaigns, reducing planning cycle times and increasing adoption of standard methodologies.
• Align media investment strategy and budget allocation to business goals so that a greater share of spend is directed toward the highest-impact audiences, channels, and programs, improving return on media investment and pipeline efficiency.
• Ensure media strategies are grounded in strong audience insights and aligned to key practitioner and executive personas, increasing reach, penetration, and engagement within priority accounts.
• Implement consistent global measurement frameworks and executive-ready reporting in partnership with Analytics, improving visibility into media’s contribution to pipeline and revenue and enabling faster optimization cycles.
• Model and reinforce Databricks’ culture principles while staying ahead of evolving media trends and best practices through a structured test-and-learn agenda, resulting in a collaborative, high-performance team and continuous improvements in overall media effectiveness.

What we look for:

• 10+ years of experience in media strategy, digital marketing, or integrated marketing in a B2B environment within SaaS or enterprise technology.
• Proven experience leading global media planning efforts across multiple channels and funnel stages, with demonstrated impact on pipeline, engagement, or revenue metrics.
• Demonstrated experience hiring, developing, and managing teams of individual contributors, including early and mid-career talent, with a track record of building high-performing teams.
• Strong understanding of full-funnel marketing measurement, including brand, demand, pipeline, and revenue metrics.
• Ability to set clear objectives, prioritize effectively, and empower teams to deliver results with autonomy.
• Strong collaboration and influencing skills, with experience driving alignment across matrixed organizations.
• Excellent analytical skills with the ability to translate complex data into clear strategic recommendations that drive business decisions.
• Familiarity with modern media platforms, AdTech, and measurement tools.

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. 

We’re looking to hire a Senior Engineering Manager to join our Photon team and help shape the next generation of lightning-fast, scalable data processing. As a Senior Engineering Manager, you’ll lead world-class engineers building Photon—the cutting-edge query engine powering Databricks’ industry-defining Lakehouse Platform. 

This is your opportunity to drive innovation at massive scale, optimize data systems for real-world impact, and collaborate with top minds in query optimization/execution, storage, and large-scale analytics. If you’re passionate about empowering teams, architecting pioneering technology, and making analytics dramatically faster for millions of users, we want you on our team.

The key responsibilities include:

• Lead and grow a team of top-tier software engineers.
• Drive the development of the Photon query engine and differentiating performance features.
• Partner with product and engineering leadership to define the roadmap and deliver industry-leading performance.
• Foster a culture of technical excellence, innovation, and collaborative problem-solving.
• Mentor and develop future leaders through coaching and growth opportunities.
• Attract, hire, and retain exceptional engineering talent.

What we look for:

• Deep expertise in database kernel or internals development (query execution, optimization, or storage engines).
• 8+ years of experience in database internals or related systems engineering.
• 5+ years of engineering management experience, including building and scaling high-performance teams.
• Proven ability to hire, develop, and retain top engineering talent.
• Strong track record of delivering complex, high-scale distributed systems.
• BS in Computer Science (MS or PhD preferred).

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.

MKTQ227R23

The Analyst Relations team is looking for an Analyst Relations Manager to accelerate Databricks’ position as the clear category leader in data management, AI, security, BI and other emerging markets. In this role, you will turn analyst relationships and research into strategic advantage for Databricks—shaping how the market understands our platform and informing how we build, market, and sell it. You’ll partner closely with product, marketing, and sales leaders to translate analyst insight into concrete business impact.

The impact you will have

• Elevate Databricks’ positioning with firms like Gartner, Forrester, IDC and others, reflected in stronger narrative alignment, increased positive mentions, and improved perception across key evaluations and research notes over 12–24 months.
• Orchestrate successful participation in major analyst evaluations (e.g., MQs, Waves, MarketScapes, and equivalent), ensuring Databricks shows up with compelling proof points, customer evidence, and differentiated messaging that advance our leadership across various categories.
• Grow a community of influential analyst advocates who proactively seek Databricks input, feature our experts and customers, and invite us to speak at key industry and firm-hosted events.
• Turn analyst insight into action by synthesizing research and feedback into clear recommendations that shape product roadmap decisions, messaging and positioning, and field plays for target segments and use cases.
• Increase the business impact of analyst content by enabling sales, marketing, and executive teams to effectively use analyst reports, quotes, and insights in campaigns, sales conversations, and executive narratives.
• Build a predictable, high-functioning AR program with clear calendars, SLAs, and internal processes for handling inquiries, briefings, evaluations, and internal requests, improving responsiveness and stakeholder satisfaction.
• Expand Databricks’ reach beyond core analysts by identifying and activating new voices (emerging analysts, boutiques, influencers) that amplify our story across data, AI, security, and adjacent markets.

What we look for

• 3–5 years of experience in analyst relations, public relations, or communications for a high-growth B2B technology company.
• Meaningful experience engaging with major analyst firms (e.g., Gartner, Forrester, IDC or similar), ideally around data, analytics, AI/ML, or cloud platforms.
• Proven track record running end-to-end analyst programs—from briefings and inquiries to major evaluations and advisory sessions—with measurable impact on perception or coverage.
• Excellent verbal and written communication skills, able to translate complex technical concepts into clear, compelling narratives for analysts and senior executives.
• Demonstrated ability to partner with executive leadership and technical subject matter experts, preparing them for high-stakes analyst interactions and driving alignment on strategy, messaging, and proof points.
• Strong program and project management skills, with a history of juggling multiple high-detail, deadline-driven workstreams while maintaining quality and follow-through.
• High collaboration and stakeholder management capability, comfortable operating in a small, agile team and influencing cross-functional partners across product, marketing, and sales.
• Deep curiosity about products, customers, and the competitive landscape, with the ability to quickly absorb new information, connect dots, and turn it into impactful AR strategies and recommendations.
• Willingness to travel up to 20% to manage Databricks’ presence at analyst conferences, host in-person meetings, and represent the company at key AR community events.

Nice to have:

• Experience working with or for an Analyst Relations agency
• Experience with Analyst Relations CRM software
• Existing relationships with industry analysts from the above mentioned markets
• Experience with high-growth cloud, big data, data analytics, data warehouse, machine learning, BI, or AI technologies

P-1495

At Databricks, we are passionate about enabling Data and AI 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 solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

Reporting to the Director, Product Operations, you will lead key projects, collaborate cross-functionally with stakeholders in Engineering, Data Science, HR, and Finance to ensure our systems deliver operational excellence while scaling with the company. This serves as the foundation for data-driven decision making that help drive growth for Databricks. Ideal candidates will have a strong background in business operations with a deep understanding of data management principles and practices.

In this role, you will be leading and supporting Serverless Networking platform projects where you will work across teams to drive launch of external customer-facing networking features and enhance the underlying networking infrastructure that supports our internal product teams

Key Responsibilities:

• Build reports and dashboards for monthly, quarterly, and executive-level reporting
• Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
• Establish coding, data management, and documentation standards and best practices
• Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows
• Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
• Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
• Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
• Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

What We Look For: 

• 9+ years of experience in data and analytics, ideally at a SaaS company or large tech company

• Educational Background: Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.

• Systems Thinking: Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.

• Analytical Proficiency: Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.

• Stakeholder Management: Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.

• Strategic Communication: Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.

•  

Nice to Have: 

• Familiarity with Databricks tools, especially for extract/transform/load functions
• Experience working on Support Operations for SaaS based companies.
• Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows
• Operations, Consulting or Strategy experience

P-1495

About Databricks

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 solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Role

Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration.

In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.

Impact

• Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.

• Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.

• Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating "engineering velocity" into "market impact," providing the clarity necessary for high-stakes decision-making.

• Systems Transformation: Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.

• Strategic Connective Tissue: Serve as the authoritative bridge between the "How" of technical execution and the "Why" of business value, ensuring a unified language of success across our most senior stakeholders.

Key Responsibilities:

• Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.
• Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
• Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.
• Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
• Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
• Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

What We Look For: 

• Professional Experience: Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.

• Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.

• Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.

• Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.

• Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.

• Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.

Nice to Have: 

• Familiarity with Databricks tools, especially for extract/transform/load functions
• Experience working on Support Operations for SaaS based companies.
• Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows

P-1495

About Databricks

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 solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Role

Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration.

In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.

Impact

• Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.

• Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.

• Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating "engineering velocity" into "market impact," providing the clarity necessary for high-stakes decision-making.

• Systems Transformation: Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.

• Strategic Connective Tissue: Serve as the authoritative bridge between the "How" of technical execution and the "Why" of business value, ensuring a unified language of success across our most senior stakeholders.

Key Responsibilities:

• Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.
• Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
• Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.
• Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
• Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
• Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

What We Look For: 

• Professional Experience: Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.

• Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.

• Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.

• Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.

• Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.

• Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.

Nice to Have: 

• Familiarity with Databricks tools, especially for extract/transform/load functions
• Experience working on Support Operations for SaaS based companies.
• Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows

MKTQ227R16

Databricks is building a new generation of native applications built on the Databricks Platform that help customers unlock value from their data faster. Lakewatch is the first of these apps, giving cybersecurity, governance, and risk teams an open, agentic SIEM that unifies security, IT, and business data into a single, governed environment for AI-powered detection, investigation, and response.

We are looking for a senior product marketer to own the product marketing strategy for Lakewatch and lead its next phase of growth. In this role, you will define the Lakewatch narrative, partner with product and engineering to shape the roadmap and launches, and collaborate closely with sales, partner marketing, and the broader marketing organization to drive awareness, adoption, and expansion for this first-of-its-kind motion at Databricks.

This role sits within the product marketing organization and works cross-functionally with product, engineering, sales, and alliances.

The impact you will have:

• Hit or exceed Lakewatch pipeline and revenue goals by defining and executing the GTM strategy that drives new logo acquisition and expansion within existing Databricks customers, with clear targets for sourced and influenced pipeline, ARR, and product adoption over the first 12–24 months.
• Increase Lakewatch adoption and usage across priority customer segments by establishing a compelling narrative and positioning that differentiates Databricks in cybersecurity, measurably improving win rates, deal sizes, and attach rates for security use cases.
• Establish Databricks as a recognized leader in cybersecurity and security analytics by driving thought leadership, analyst and influencer engagement, and presence at key industry events, measured through share of voice, coverage, and security-related pipeline contribution.
• Deliver high-impact product and feature launches that translate roadmap investments into business results, meeting agreed-upon targets for adoption, activation, and usage of new Lakewatch capabilities within defined timeframes after launch.
• Improve sales and overlay effectiveness in Lakewatch opportunities by building and scaling sales plays, messaging, and enablement that increase Lakewatch win rates and reduce sales cycle times across core regions and segments.
• Grow partner-sourced and partner-influenced Lakewatch pipeline by building joint narratives, solutions, and programs with cloud and technology partners, tied to specific pipeline and revenue goals.
• Continuously optimize Lakewatch GTM performance by defining the right metrics, instrumenting programs, and using data and customer feedback to iteratively improve conversion across the funnel (awareness, evaluation, adoption, and expansion).

What we look for:

• Extensive product marketing experience in enterprise cybersecurity software, with meaningful exposure to security operations, SIEM/security analytics, or adjacent domains where you have successfully driven pipeline and revenue for security offerings.
• Proven ability to build and scale GTM for new or early-stage products, including setting goals, defining segment and persona strategies, and running campaigns and launches that demonstrably improved pipeline, ARR, or adoption.
• Track record of crafting positioning and storytelling for both security practitioners and business stakeholders that led to measurable improvements in engagement, win rate, deal size, or solution attach.
• Demonstrated success partnering with product and engineering to bring market and customer insight into roadmap decisions, with clear examples where your input led to capabilities that increased usage, customer value, or retention.
• Experience enabling global sales and partner organizations on new solutions or categories, with evidence that your plays, content, and enablement improved Lakewatch-like outcomes such as win rates, sales cycle times, or attach rates.
• Experience collaborating with cloud and technology partners or ecosystems to build joint narratives and programs that generated partner-sourced or partner-influenced pipeline.
• Strong communication and executive presence, comfortable leading cross-functional initiatives, influencing without direct authority, and representing the product with customers, partners, analysts, and at industry events.
• Comfort operating in a fast-paced, highly cross-functional environment, where you help define new motions and processes rather than simply optimizing established playbooks.

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

GAQ426R306

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is one of the world’s fastest-growing data and AI companies—an industry leader transforming how organizations harness the power of their data. As we scale rapidly across the globe, we’re seeking an experienced, impact-driven Senior Organizational Development Architect.

This team takes on the highest-impact, hardest People challenges — the ones that directly affect how fast the company can grow, how well teams perform, and how leaders scale. These aren’t routine programs. They’re complex, company-wide efforts that need fresh thinking, tight execution, and real adoption — from defining the problem to aligning executives to making change stick across thousands of employees.

You will start by building a global strategy and solutions to uplevel our global interviewer capability, and help us drive hiring excellence. This role reports to the Head of Organizational Development, under our broader Talent Management org. 

The Impact You’ll Have

• Anchor Mission: Interviewer Enablement & Certification: You will own the global roadmap for how we certify and enable "Brickster" interviewers. You will design the certification approach, build multi-persona enablement assets, and create the tracking and feedback loops that ensure our hiring bar remains elite as we scale.
• Strategic Partnership: You will act as a consultative "architect" for our senior leaders and People Partners, moving beyond program management to diagnosis our hardest problems and designing org-wide solutions at scale. 
• Career Framework Architecture: Design and build success profiles and career ladders that define the key capabilities for our most critical roles, ensuring they are built for a high-growth, AI-first future.
• Upleveling Hiring Process & Assessment : Partner with Talent Acquisition to embed success profiles into our hiring workflows, transforming how we assess talent and ensuring our interview process is a competitive advantage.
• AI-Driven Org Design: Lead the "Future of Work" conversation with the business. Analyze how AI is shifting roles and workflows, and design org structures that optimize for human-AI collaboration and maximum productivity.

About You

• Experience: 12–15+ years of experience, likely from a top management consulting firm or a hyper-growth tech environment where you have built programs from scratch. 
• Consultative & Curious: You operate with a “business-first mindset” - what problem are we trying to solve for the company? You’re eager to understand Databricks’ technology, customer value prop, culture, and the problem at hand to build solutions that are right for Databricks rather than defaulting to previous playbooks.
• Complex Problem Solver: You think from first principles - seeking to deeply understand and diagnose the problem you’re trying to solve. You have a proven ability to deconstruct it into a structured, multi-quarter roadmap that materially impacts a global function or region.
• Strategic Influencer: You can effectively influence VPs and SVPs, using a combination of your knowledge of our business and data. You routinely drive alignment across complex, cross-functional stakeholder groups to deliver the right solutions. Your key partners include: business leaders, Talent Acquisition, People Partners, Strategy & Finance teams. 
• AI-Builder Mindset: You are deeply curious about how AI is fundamentally changing job descriptions and organizational structures. You not only use data and AI tools to accelerate your own thinking and execution - but architect AI-first solutions for the business.
• Execution: You bring a programmatic approach to driving adoption of your solutions as scale (1,000s of Bricksters). You can turn your understanding of the problem into strong program design, a robust change and enablement plan, and own the measurement strategy to show that your programs are truly making an impact
• HR Domain Expertise: You have a broad and deep background in one or more of the following domain areas: Org Development, Talent Management, Talent Acquisition. You are highly aware of industry changes and can translate that into a strategy that makes sense for Databricks. 

P-1489

Platform & Product Experiences | Shape How Databricks Executes at Scale

At Databricks, Staff TPMs don’t just run programs — they define how the company executes at scale. This role sits at the center of our highest-priority platform and product investments, partnering across engineering, product, and go-to-market teams to bring foundational capabilities to market globally.

You will lead complex, high-visibility programs where the path isn’t fully defined, align senior stakeholders, and build the operating models that scale execution across the company.

The Impact You’ll Make

You will own delivery of some of Databricks’ most important initiatives and programs that reach tens of thousands of enterprise customers worldwide. You will influence roadmap decisions, drive execution across organizations, and ensure launches translate into real customer adoption and business impact.

Examples of programs you may lead include:

• Driving the evolution and adoption of Unity Catalog as the foundation for data governance across the platform
• Scaling core platform experiences that define how customers interact with Databricks (e.g., workspace, identity, access, and cross-product workflows)
• Leading cross-functional initiatives that unify product experiences across data, AI, and governance capabilities

What You’ll Own

• End-to-End Program Leadership: Own complex, cross-functional programs from initial scoping through launch and adoption. Define program structure, drive execution, and hold teams accountable to clear outcomes.
• Cross-Organizational Alignment: Align engineering, product, design, field, legal, and marketing around a shared plan. Manage dependencies, resolve conflicts, and keep execution on track.
• Product Launch & Enterprise Adoption: Partner with field teams, solutions architects, and customer success to drive successful launches. Build early access programs, capture customer feedback, and translate it into execution priorities.
• Operational Excellence: Identify where the organization is losing speed, design scalable processes, and drive adoption across teams. Build systems that outlast individual programs.
• Executive Communication: Own communication with senior leadership. Provide clear updates, highlight risks, and enable fast, well-informed decision-making.
• Data-Driven Execution: Define success metrics upfront. Track progress rigorously and use data to guide decisions and demonstrate impact.

What We’re Looking For

• 10+ years leading large-scale, cross-functional programs in enterprise software or B2B technology
• Proven experience delivering end-to-end product launches across multiple geographies and functions
• Demonstrated ability to bring structure to ambiguous, fast-moving environments
• Experience influencing roadmap and prioritization, not just delivery
• Credibility with both engineers and executives; strong communication skills with VP and C-level stakeholders
• Track record of building scalable processes and operating models
• Strong instincts for risk management, escalation, and stakeholder alignment
• Experience defining and tracking success metrics; familiarity with SQL or dashboards is a plus
• Experience operating with high autonomy and ownership in ambiguous, high-stakes environments

Preferred

• Experience with cloud platforms (AWS, Azure, GCP)
• Background in data platforms, governance systems, or developer-facing products
• Familiarity with Databricks or similar large-scale data ecosystems
• Experience scaling both 0→1 programs and mature systems
• Advanced degree in a technical field

Why This Role is Unique

This role sits at the center of Databricks’ core platform investments, with direct access to senior leadership and the opportunity to shape how the company executes. You will work on high-impact programs, influence key decisions, and build systems that scale across the organization. 

Benefits

• Comprehensive health coverage (medical, dental, vision)
• 401(k) plan
• Equity awards
• Flexible time off
• Paid parental leave and family planning support
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Employee Assistance Program (EAP)
• Business travel accident insurance
• Mental wellness resources

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 systems using their own data; from pre-training LLMs from scratch to state-of-the-art retrieval-augmented generation by producing novel science and putting it into production.

We believe a company’s AI models are a core part of their IP, and that high‑quality AI models 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.

FEQ227R10

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

GAQ327R142

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is seeking a Senior Financial Analyst to join our Corporate FP&A team. In this role, you will report to the Senior Finance Manager / Director of Corporate FP&A and help empower the broader FP&A organization. You will play a key role in building and managing core strategic planning processes, as well as partnering with leaders across functions to support budgeting, forecasting, and ongoing financial management. 

The impact you will have:

• Support long and short-term planning processes, including:

• • Ownership of the planning calendar with clearly communicated timelines, deliverables, and expectations with all planning stakeholders
  • Ensuring system snapshots are completed accurately and on time
  • Building driver-based financial models to optimize resource allocation
  • Preparing executive-ready materials, including financial models, scenario analyses, and presentations

• Support financial modeling for capital raising and coordinate across FP&A, Investor Relations, and Treasury
• Support the development of Executive and Board reporting materials, ensuring accuracy and clarity of financial insights
• Manage ad hoc analyses and strategic projects to support senior leaders across Finance and Investor Relations
• Identify and lead process and system optimization initiatives, including opportunities for automation

What we look for:

• Masters in Business Administration from a top tier program
• Bachelor's Degree in Business, Finance, Accounting, or a related field
• 4+ years of experience in corporate finance, management consulting, or investment banking; experience in the software or SaaS industry is a plus
• Advanced proficiency in Google Sheets or Excel, including the ability to build and maintain complex financial models
• Leverage best-in-class AI to upskill and architect sophisticated, model-driven solutions.
• Utilize data to uncover outcome driven insights.
• Ability to grasp the strategic ‘big picture’.
• Strong communication skills and the ability to prioritize and manage multiple objectives in a fast-paced environment while meeting deadlines
• Understanding of the three statement financial model

GAQ326R211

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

This role will lead the GTM Finance team’s earned commission planning, forecasting, and reporting/analytics and comp plan design strategy for GTM. This includes partnering with Sales Compensation Strategy and Sales Strategy during annual planning and design, Accounting to facilitate the monthly accrual process, and GTM Finance business partner leads to deliver analytics around comp plan attainment.  This is a highly impactful and strategic role, with a chance to strategically guide one of the most strategically important investment areas in go-to-market.

The impact you will have: 

• Work in partnership with the Sales Compensation Strategy team on the annual comp plan design workstream to ensure the comp plan design is aligned to the desired business objectives
• Own the cost model for the annual comp plan design workstream.  Partner with the Sales Compensation Strategy team to design quota guardrails, accelerator rates, and overassign quotas to align desired commission payouts and attainment to top-line performance
• Build and maintain the bottom-up commissions forecast, leveraging actuals and forecasted top-line performance to forecast variance to budget and provide insights to business partners on comp plan attainment relative to business performance
• Run the monthly commissions accrual process, providing accrual inputs to Accounting and communication of key variance drivers to Finance leadership
• Own ad hoc analysis, including making recommendations for mid-year investments and comp plan design modifications

What we look for:

• 7+ years of progressive GTM, GTM Finance, or related experience Finance experience at a high-growth enterprise SaaS or Consumption business, with specific ownership on forecasting for commissions expenses
• Expert at building robust financial models in both Excel and Gsheets
• Experience with sales compensation design & associated financial modeling
• Proficient with SQL to leverage top-line forecasts for bottoms-up model
• Advanced understanding of commissions-related accounting, including capitalization, amortization, and cash flow impacts
• Skilled storyteller to distill complex topics into executive-level presentations

RDQ427R330

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.

As an Engineering Manager on the App Framework team, you will be responsible for building the foundational service frameworks and runtime infrastructure that power every microservice at Databricks. The team's goal is to make every service at Databricks fast, reliable, observable, and secure by default, without each team having to solve these problems independently. The team owns the core application platform: multi-language service and RPC frameworks, core libraries, request context propagation, overload protection, and abstractions that extend full platform capabilities to any language. The team’s work is high-leverage - a single improvement we ship benefits thousands of production services and thousands of engineers across the company.

The impact you will have:

• Lead a team of talented engineers building core application platform infrastructure used by every service at Databricks.
• Own and drive the technical roadmap for one or more pillars.
• Drive multi-quarter execution on high-impact platform initiatives.
• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback, as well developing engineering leaders.
• Ensure high technical standards by instituting processes and a culture of engineering excellence.
• Work with engineering and product leadership to build a long-term roadmap and coordinate execution across teams to unblock cross-cutting projects.

What we look for:

• 5+ years of engineering experience building and operating large-scale distributed systems, service frameworks, or platform infrastructure.
• 2+ years of engineering management experience leading strong technical teams.
• Can ensure the team builds high quality and reliable infrastructure. Experience being responsible for testing, quality, and service level agreements of a product. 
• Strong track record of attracting, hiring, and retaining top engineering talent.
• Experience attracting, hiring, and coaching engineers who meet the Databricks hiring standards. Can uplevel existing team by hiring top-notch senior talent, growing leaders and helping struggling members. Can gain the trust of the team and guide their careers.
• Existing experience building and running cloud platforms, or demonstrated ability to quickly learn new concepts in the SaaS space.

COVID-19 Vaccination Requirement

As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.

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 solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.   

The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Establish best practices within the team & Databricks more widely for building valuable, AI products

What we look for:

• 10+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.  
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component
• Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value

P-1607

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 solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.   

The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Define and drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.

What we look for:

• 10+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.  
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component
• Proven experience building and shipping end-to-end generative AI products
• Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.

MKTQ127R8

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. 

In this role, you will own product marketing for Genie, Databricks agentic AI products for business productivity. 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. 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 would have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at the enterprise market, and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans.

The impact you will have:

• Establish Genie as a leading agentic AI solution for business productivity by driving awareness and adoption across priority customer segments.
• Launch and iterate messaging and campaigns that increase engagement and conversion among business users, business decision makers, and IT leaders. 
• Elevate Databricks’ AI narrative 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 achieve high CSAT with field teams and are consistently used in strategic opportunities.
• 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:

• 5+ years of product marketing experience at an enterprise software company.
• Experience marketing Data & AI, analytics, or AI-powered products, with a strong understanding of the AI market and technologies.
• Proven track record creating messaging and content for both technical and business personas that drives engagement and pipeline.
• 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.

RDQ427R337

Mission

This person will support Engineering and Product leaders, partnering with them to operationalize their teams' cross-functional strategies. You will serve as a key liaison across various departments—including Sales, Marketing, IT, and other critical functions—to ensure alignment and execution. Additionally, you will drive strategic initiatives and community events that foster collaboration across the Engineering and Product organizations.

The impact you will have:

• Ensure the Engineering leader is prepared for all meetings, with an accurate and forward-looking calendar.
• Effectively prioritize the calendar and schedule meetings in a timely manner.
• Provide timely responses to all stakeholder requests.
• Enhance the efficiency of the Engineering leader's time use, leading to a more productive team and company.
• Execute strategic initiatives well, delivering on defined outcomes.

Responsibilities

• Calendar management - organizes all meetings, including but not limited to team meetings, customer, and internal business partner meetings across international time zones
• Builds and maintains records of all meeting requests and closes out all requests in a timely manner. Keeps to a strong SLA on responding to requests
• Manages offsite meetings, events, and programs in support in support of the SVP and their staff
• Ensures all meeting invites have the appropriate details to have an effective meeting 
• They may be required to support other executive staff members if there's a gap in coverage due to PTO, sickness, maternity leave, or other absences. 

Competencies

• Minimum of 7+ years of applicable executive administrative experience, ideally from a global software organization
• Worked with VPs/SVPs in Engineering and Product in large organizations.
• Worked with VPs managing over 2000+ people in engineering, customer-facing, and/or technical roles
• Ability to work at a fast pace with shifting priorities in a hyper-scaling company
• Experience supporting a high-growth company, and preferably directly supporting an executive staff member 
• High attention to detail, organization, and process abilities 
• Strong calendaring skills (Gmail and Google Calendar experience mandatory)
• Strong teamwork skills, and a confident ability to offer suggestions and improvements to the process and work very collaboratively with others
• Strong relationship management skills, ability to build a personal network throughout the company
• Strong oral and written communication 
• Ability to communicate clearly and effectively with senior leaders and external partners

RDQ427R371

About the Role

We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams.

Impact you will have

• Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities.
• Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery.
• Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery.
• Create and maintain technical architecture artifacts showing "better together" integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions.
• Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins.

What we’re looking for

• 10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns.
• Proven experience managing strategic technical partnerships at VP/C-level, with ability to navigate complex multi-company engineering initiatives and drive consensus across organizations.
• Hands-on technical skills with ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns.
• Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health.
• Deep knowledge of Databricks platform and Microsoft data/AI ecosystem 
• Excellent communication and influence skills, with ability to translate technical requirements between Product Management, Engineering, and external partner teams.

Preferred:

• Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers (AWS, Azure, GCP) or major ISVs.
• Background working at or with Microsoft - understanding of Microsoft field organization, partner program structure, and decision-making processes.
• History of driving product-to-product integrations between major platforms.
• Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex).

RDQ427R325

About the Role

We're seeking a Senior Staff Partner Engineer to own and evolve the technical foundation of the Built-On program. You will own the Partner Well-Architected Framework, create production-grade reference implementations that demonstrate best practices, and collaborate with VP and C-level executives at strategic partners to co-architect and validate their platforms. You will partner closely with Databricks Product and Engineering teams to shape the platform roadmap based on ecosystem insights and partner requirements. Your work will set the technical bar for the ecosystem and accelerate partner time-to-market.

Impact you will have

• Own the design, governance, and evolution of the Partner Well-Architected Framework, defining core architecture standards and validation mechanisms for Built-On solutions.
• Work with director, VP, and CPO-level partner architects to design, review, and validate their platforms for security, scalability, and alignment with Databricks standards.
• Build and maintain production-grade reference implementations, blueprints, and technical examples that demonstrate end-to-end Built-On architectures in practice.
• Drive alignment across Product, Engineering, and Field teams to shape platform roadmap priorities based on ecosystem insights and partner requirements.
• Evangelize the framework through clear technical documentation and published guidance, validating partner solutions and approving architectures for Built-On program inclusion.

What we’re looking for

• 10+ years of experience in solution architecture, field engineering, or technical roles in cloud, data, or AI/ML domains, with proven experience designing and owning distributed SaaS platform architectures from end to end.
• Deep expertise in multi-tenant SaaS architectures including authentication patterns (OAuth 2.0, OIDC, SSO federation), data isolation, and security best practices.
• Strong hands-on software development experience with ability to build production-grade applications, combined with expertise in CI/CD, DevOps practices, and architectural quality enforcement.
• Technical expert on Databricks product suite and cloud-native architectures (AWS, Azure, GCP), with ability to translate partner requirements into platform priorities.
• Demonstrated experience managing senior technical relationships (VP/C-level) and complex projects in partner ecosystems, with excellent communication and consultative skills.

Preferred

• Experience building B2B applications on Databricks or familiarity with hyperscaler Well-Architected Frameworks.
• Experience with modern development workflows and AI-assisted development tools (Cursor, GitHub Copilot, Claude).
• Background in consulting or services industry with experience mentoring senior technical talent and leading cross-functional initiatives.

MKTQ227R30

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. 

As Director of Product Marketing for Databricks AI, you will lead the marketing strategy across Agent Bricks, our enterprise agent platform, and core machine learning products. Reporting to the Senior Director of Product Marketing, you’ll define and execute marketing strategies that drive 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, compelling customer content, targeted campaigns, and impactful product launches.

The impact you will have:

• Own the marketing strategy and planning for Databricks AI products
• Build and land collaterals for key channels across sales, partner, and demand generation, including content campaigns and events
• Create an always-on go-to-market plan and pilot new programs with a strong focus on winning AI mindshare, driving pipeline, and product adoption 
• 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

What we look for:

• 10+ years of technical product marketing experience in an enterprise software company
• Experience with AI/ machine learning technologies
• Strong understanding of AI decision makers and builders (developers, ML engineers), and experience in building relevant content for them
• Portfolio of impactful marketing content, sales enablement materials and always-on GTM with proven results across the marketing funnel
• Experience presenting at conferences and customer engagements
• Preferred BS in Computer Science or Engineering, coupled with MBA

MKTQ227R20

At Databricks, Lakebase and Databricks Apps enable teams to build data-native applications where transactional data, analytics, and AI operate on the same platform. Lakebase provides a managed Postgres transactional layer for application state and operational workloads, while Databricks Apps supports building and deploying secure applications that run close to governed data and models.

This role reports to the Senior Director of Product Marketing and works closely with product, engineering, and field teams.
In this role, you will own Lakebase product marketing for application developers and database owners, with a focus on Postgres-backed transactional workflows and data-native applications that combine operational data, analytics, and AI. This is a critical role for the business and you will be the subject matter expert on database marketing. You will be the leader owning the messaging and guiding the content and GTM across all aspects of database marketing, through sales, partner, and marketing teams, and helping drive the awareness and adoption of the Databricks Data Intelligence Platform.

Ideal candidates will have a proven record in product marketing and experience working on technical products. You would have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at the enterprise market, and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans.

The impact you will have:

• Own the messaging of Lakebase and clearly articulate its value for operational, analytical, and AI workloads
• Develop and evolve use-case driven messaging for application developers and database owners, aligned with the broader Databricks Data Intelligence Platform narrative
• Amplify messaging through Databricks own website and channels, as well as through partners’ webpages
• Land sales enablement content and deliver high CSAT scores with field teams
• Be the expert when it comes to any database messaging for any campaign or event Databricks is running, and enable teams with highly performant content to drive strong engagement and pipeline
• Work with partner marketing teams at Databricks to coordinate our messaging at sponsored cloud events, such as Microsoft Ignite and AWS re:invent
• Participate in joint business reviews with sales and partner teams, understand gaps where Lakebase marketing can help, and execute to drive a stronger impact
• Deliver customer stories and proof points that demonstrate real-world Lakebase adoption and impact

What we look for:

• 5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in marketing cloud databases
• Strong understanding of databases, analytics, and/or AI space
• Experience building marketing content for technical personas
• Experience working with sales teams (field marketing, enablement)
• Experience working with partners (SI and/or ISVs)
• Preferred technical academic background (BS in computer science or related discipline) or experience, coupled with MBA

GAQ326R237

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is seeking a Director to join our Corporate FP&A team. Reporting to the Vice President of Corporate FP&A, this highly visible and impactful role that will be responsible for leading all core financial planning processes, including long range and annual planning processes. The Director will also support capital raising efforts in partnership with Finance leadership, and lead ad hoc projects and scenario planning to inform key business decisions.

The impact you will have:

• Own all long and short term planning processes, including:
• Define, implement, and scale best in class planning processes
• Drive accountability across stakeholders through clearly defined roadmaps, timelines, and deliverables
• Develop and maintain driver based financial models to optimize resource allocation and support strategic planning
• Prepare executive ready materials, including financial models, scenario analyses, and presentations

• Partner with Finance leadership to support capital raising efforts, collaborating cross functionally with FP&A, Investor Relations, and Treasury
• Drive the development of Executive and Board reporting materials, ensuring accuracy and clarity of financial insights and clear storytelling
• Recommend annual and quarterly guidance strategies for Board and Investor communications
• Drive a clear vision for best in class Corporate FP&A processes to ensure IPO readiness
• Lead ad hoc analyses and strategic projects to support senior Finance leaders, including Investor Relations
• Identify and drive process and system optimization initiatives, including opportunities for automation

What we look for:

• Bachelor's Degree in Business, Finance, Accounting, or a related field
• 10+ years of experience in FP&A, corporate finance, management consulting, or investment banking; experience in the software or SaaS industry is a plus
• Experience leading long range and annual planning processes at scale
• Proven track record of financial leadership in a fast-paced, dynamic environment
• Possess strong financial modeling and analytical skills; highly proficient in Excel / Google Sheets
• Intellectual curiosity and the ability to solve problems independently
• Strong analytical, organizational, and collaboration skills
• Strong communication skills and the ability to prioritize and manage multiple objectives in a fast-paced environment while meeting deadlines
• Experience with forecasting and planning tools (e.g., Anaplan)

FEQ327R147

As the Digital Native Go-to-Market Leader, you will drive the global strategy for the world’s most innovative high-growth companies—from late-stage startups to "born-in-the-cloud" giants. You will play a pivotal role in accelerating revenue growth by helping these organizations build their next-generation Data and AI platforms on Databricks.

You are not just a strategist; you are a technical authority. You have a strong POV on how Data Intelligence platforms transform digital business models, a deep understanding of the open-source ecosystem, and the ability to engage in "architect-to-architect" discussions with CTOs and VPs of Engineering. You will set the vision, build executive relationships, and develop the programmatic motions required to scale this function globally.

The impact you will have:

• Global Programmatic Scaling: Design and execute repeatable, global GTM motions that allow the field to effectively sell to Digital Natives at scale.
• Strategic Sales Partnership: Work closely with sales and pre-sales teams to identify high-growth use cases, create account-level technical strategies, and build comprehensive sales programs.
• Growth of Digital Native Business: Directly engage with priority accounts and influence key stakeholders in strategic deals.
• Technical Advisory: Act as a hands-on trusted advisor to CTOs and Engineering leaders, guiding them on setting up modern Data and AI platforms.
• Open Source Advocacy: Leverage your deep understanding of the open-source ecosystem (Spark, Delta, MLflow, etc.) to align Databricks’ value proposition with the "build vs. buy" mindset of Digital Natives.
• Ecosystem Integration: Collaborate with the partnership, ISV, and Data Marketplace teams to drive adoption of a seamless, interconnected data-sharing ecosystem.
• Thought Leadership: Establish yourself as a global technical thought leader by authoring deep-dive technical blogs, contributing to the community, and speaking at major industry events.
• Internal Influence: Partner with Product and Engineering teams to influence the Databricks roadmap based on the unique requirements of high-scale Digital Native customers.

What we look for:

• Technical Chops: Deep, hands-on experience with Databricks and the broader Data/AI landscape. You should be comfortable discussing Spark optimization, LLM fine-tuning, and data lakehouse architecture.
• AI Builder Experience: Proven track record of hands-on experience building AI systems (MLOps, GenAI apps, or large-scale predictive models).
• Industry Credibility: 10+ years of experience, including significant time spent in leadership roles within a "Digital Native" environment (e.g., high-growth SaaS, FinTech, HealthTech, AdTech, or Marketplace companies).
• Open Source Knowledge: A strong understanding of the open-source ecosystem and how it integrates with proprietary enterprise platforms.
• Programmatic Vision: Experience developing global, scalable GTM motions—moving beyond "one-off" deals to create a structured engine for global growth.
• Community Passion: A genuine desire to help other Digital Native companies avoid "big mistakes" by sharing architectural best practices and "hard-won" lessons.
• Executive Presence: Ability to command a room of engineers while simultaneously influencing C-suite stakeholders and VPs of Engineering.
• Entrepreneurial Spirit: A "doer" mindset with the ability to operate in a fast-paced, ambiguous environment and drive results across cross-functional teams.

P-932

At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Opportunity

Databricks is the leader in Data and AI, and our platform operates on a global scale. We are seeking a Senior Engineering Manager to lead the engineering team responsible for the Intelligence and Economics of our infrastructure.

In this role, you will build the Intelligent Governance and Efficiency layer that optimizes billions of dollars spent across all Databricks products in a complex multi-cloud environment. You will lead a high-caliber team of engineers to build the "financial nervous system" of Databricks, ensuring our most advanced technologies, including Generative AI and Serverless—scale with world-class unit economics.

The Mission: From Visibility to Autonomy

We are evolving our infrastructure from cost reporting to Autonomous Governance. You will own the roadmap to build platform-native systems that automatically manage, enforce, and optimize resources globally.

• Infrastructure Intelligence: Build high-scale data pipelines and attribution models that provide a "Source of Truth" for demand and capacity planning.
• Economic Orchestration: Engineer the automated enforcement layer—including budget quotas, anomaly detection, and self-healing remediation—to manage exploding GenAI and serverless costs.
• Margin Intelligence: Drive product-level margin attribution (Shared COGS, AI provider costs) to enable leadership to make data-driven roadmap and pricing decisions.

Job Requirements (What We Are Looking For)

• Bachelor’s Degree: Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, or a related technical field.
• Engineering Management Experience: 7+ years of experience in engineering management, specifically leading high-performance teams in an Infrastructure, Production Engineering, or Cloud Systems environment.
• Technical Breadth: 7+ years of experience with distributed systems architecture, including professional experience with Kubernetes and Cloud-native architectures (AWS, Azure, or GCP).
• System Design & Scale: Proven experience designing, building, and operating large-scale distributed systems that support high-availability SaaS platforms or services with millions of users.
• Software Development: Proficiency in professional software development using high-level languages such as Java, Scala, or C++.
• Platform Building: Demonstrated track record of architectural leadership in transitioning fragmented technical environments into unified, automated, and opinionated platforms.

Preferred Qualifications

• Master’s degree or PhD in Computer Science or a related field.
• Experience in "Infrastructure-as-Code" (Terraform, CloudFormation) and large-scale data orchestration.
• Background in Cloud Economics, Capacity Planning, or Fleet Efficiency at a global scale.

The Impact You Will Have

• Hire and Mentor: Scale a world-class engineering team in Mountain View, providing technical guidance and career development.
• Strategic Leadership: Collaborate cross-functionally with Product, Finance, and Data Science to define the economic future of the Databricks platform.
• Operational Excellence: Ensure the reliability and efficiency of our cost-management systems as they integrate into our core infrastructure.

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.

Databricks' AI Runtime (AIR) product provides enterprises with an API for training and fine-tuning deep learning and LLM models with on-demand GPUs. Whether it's a transformer model for drug discovery or a fine-tuned foundation model, customers use this team's training infrastructure to build state-of-the-art frontier models.

As a Senior Engineering Manager, you will lead the team owning both the product experience and the foundational infrastructure of AIR. You'll shape customer-facing capabilities while designing for scalability, extensibility, and performance of GPU training and adjacent areas, collaborating closely across the platform, product, infrastructure, and research organizations.

The impact you will have:

• Lead, mentor, and grow a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure, including distributed training orchestration, cluster lifecycle, fault tolerance, and training efficiency.
• Define and own the product and technical roadmap for AIR, balancing customer experience, functionality, and foundational investments.
• Collaborate closely with product, research, platform, infrastructure teams, and customers to drive end-to-end delivery, from ideation and prioritization to launch and operation.
• Drive architectural decisions and product design for managed GPU training at scale.
• Advocate for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact.
• Build observability and reliability practices for long-running, multi-node training jobs, including checkpoint strategies, failure recovery, and operational runbooks.
• Partner with recruiting to attract, hire, and develop top-tier engineering talent.

What we look for:

• 8+ years of software engineering experience, with 3+ years in engineering management.
• Track record building and operating managed GPU training infrastructure at scale (100s/1000s GPUs).
• Deep familiarity with distributed training frameworks (PyTorch, DeepSpeed, Composer, Megatron-LM) and parallelism strategies (FSDP, tensor/pipeline parallelism).
• Experience with training resilience patterns: checkpointing, elastic training, and automated failure recovery for long-running jobs.
• Understanding of GPU performance fundamentals including NCCL, interconnect topologies, and memory optimization.
• Experience building platform products with clear SLAs where you've owned the customer experience, not just the backend.
• Strong cross-functional leadership across platform, product, and research teams, with the ability to lead through ambiguity and deliver complex projects.
• Excellent collaboration and communication skills across engineering, product, and research organizations.
• BS/MS in Computer Science, Electrical Engineering, or related technical field.

P-1539

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 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.

GAQ227R243

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is seeking a Director, Financial Systems (Anaplan) to lead and evolve our FP&A Anaplan function. Reporting to the Vice President of Corporate FP&A, this role will be responsible for enabling the broader FP&A organization through strategic ownership and optimization of the Anaplan platform. You will lead a team of three experienced Anaplan professionals, define and execute a forward-looking systems strategy, and partner closely with the Finance Data & Strategy team to unlock the full potential of Anaplan in conjunction with the Databricks platform.

The impact you will have:

• Provide end to end ownership of the Anaplan platform, ensuring reliability, scalability, and alignment with business needs
• Partner across FP&A to define system roadmaps and lead the successful delivery of key initiatives
• Collaborate with the Sales Operations Anaplan team to ensure alignment and consistency across FP&A and Sales Operations models
• Identify and implement opportunities to standardize processes, improve efficiency, and increase automation within Anaplan
• Work closely with the Finance Data & Strategy team to develop and execute a strategy for integrating Anaplan with the Databricks platform, enabling next generation analytics
• Partner with Finance stakeholders and system integrators to ensure business continuity and system stability during ERP implementation
• Collaborate with cross functional teams, including IT and Security, to ensure compliance with internal controls, security standards, and access governance
• Lead, coach, and develop a high performing team of Anaplan professionals

What we look for:

• Bachelor’s Degree required in Finance, Computer Science, Engineering or Management Information Systems
• 10+ years of experience in Finance / Financial Systems roles, preferably Anaplan
• Anaplan Certified Solutions Architect or Certified Master Anaplanner, a plus
• Experience defining systems strategy; developing business and technical requirements; designing and prototyping; testing; training; deployment; and support procedures for Anaplan
• Functional experience with core finance processes (planning, budgeting, forecasting, costing)
• Experience assessing and supporting finance system implementations
• Strong people leadership skills, including experience coaching and developing high performing teams
• Intellectual curiosity and the ability to solve problems independently
• Strong communication skills and the ability to prioritize and manage multiple objectives in a fast-paced environment while meeting deadlines

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While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

We’re looking for a Chief of Staff to the Chief People Officer (CPO) to help drive operational excellence, strategic alignment, and execution across the Databricks People organization. In this role, you will work closely with the CPO and People Leadership Team to ensure that our strategy, priorities, and operating rhythms are aligned and effectively executed as we scale.

You will play a critical role in connecting strategy to execution, enabling strong collaboration across the People Leadership Team and Centers of Excellence, and ensuring the CPO’s time and focus are directed toward the most impactful priorities for the company.

A key part of this role will be helping support the transformation of the People organization into an AI-first, highly efficient function, identifying opportunities to leverage AI to automate routine work, accelerate insights, improve decision-making, and fundamentally change how the People team operates at scale.

The impact you will have:

• Drive the operating cadence of the People Leadership Team, including leadership meetings, quarterly and annual planning, and strategic reviews.
• Ensure alignment across People functions and Centers of Excellence by linking strategy, planning, and execution.
• Partner with functional leaders, PMO and finance to translate company priorities into clear People team objectives and operational plans.
• Develop reporting mechanisms and dashboards to track key People metrics, strategic initiatives, and organizational performance, and coordinate reporting metrics to the board and executive team as needed.
• Identify and implement AI-powered tools and workflows to improve the operating efficiency of the People organization, from automating routine reporting and communications to accelerating how the team synthesizes data and gets to better decisions, faster.

What we look for:

• Experience as a Chief of Staff, Strategy Lead, or similar role supporting a senior executive
• 8–12+ years of experience in HR, strategy, operations, consulting, or business operations. Experience working with People/HR organizations or talent strategy initiatives is strongly preferred.
• Strong strategic thinking and program management skills with the ability to translate strategy into operational execution
• Exceptional organizational and communication skills with experience supporting senior executives and working effectively across cross-functional stakeholders to drive results across complex organizations
• Proven ability to manage cross-functional initiatives across complex organizations
• Strong analytical and data storytelling skills to drive insight and decision-making
• Ability to operate effectively in a high-growth, fast-paced environment and drive alignment through ambiguity
• A genuine AI adopter who actively uses AI tools to do their own work better, and brings curiosity and initiative to identifying how these tools can transform how the People team operates

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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. 

More about the team: 

The Enterprise platform UX team is responsible for driving the user experience across critical enterprise concerns, specifically focusing on governance, security, and platform observability. This includes ensuring that platform admins have intuitive controls for managing access and compliance, maintaining a secure and trustworthy environment for their data and AI operations, and providing clear, actionable insights into platform health and usage.

The impact you will have:

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

What we look for:

• 5+ years of product design work experience.
• A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience in data visualization, analytics dashboards, or designing interfaces for complex data monitoring is a plus.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.