Senior Staff Product Operations Manager

Join Databricks, where we are committed to empowering data teams to tackle the world's most challenging issues—from innovating transportation solutions to speeding up medical advancements. Our mission is realized through our exceptional data and AI infrastructure platform, which enables our clients to leverage deep data insights to enhance their business ope…

Join the Databricks Team:At Databricks, we are dedicated to empowering organizations to leverage the full potential of data and artificial intelligence (AI). Our goal is to create the premier platform for developing, deploying, and managing AI applications at scale, allowing our customers to utilize intelligence to revolutionize their businesses.About the AI Team:The Databricks AI team is at the cutting edge of enterprise AI innovation. We strive to establish foundational capabilities that allow our customers to create agents and models, orchestrate intricate workflows, and seamlessly integrate AI into their data and applications. The rapidly evolving AI landscape necessitates both innovative thinking and the agility to adapt. We are not merely adding features; we are fundamentally reshaping how the world interacts with AI.Your Impact:Define the Future of Enterprise AI: Take charge of the vision for how Databricks enables customers to harness generative AI, agents, and novel workloads that are yet to be imagined.Transform Breakthroughs into Products: Collaborate with elite engineering and research teams to translate cutting-edge AI advancements into practical, reliable tools for millions.Expand Customer Possibilities: Partner with data and AI leaders to identify new use cases, then craft products that make the previously unattainable feasible and repeatable.Guide from Vision to Execution: Inspire and direct the product roadmap, influence engineering, and narrate how Databricks AI is enabling customers to achieve new heights.Build for the Future: Establish a strategy and principles that will steer Databricks AI for years to come, even amidst rapid industry evolution.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems, from revolutionizing transportation to accelerating medical advancements. Our mission is to build and maintain the leading data and AI infrastructure platform, enabling our customers to leverage deep data insights for business enhancement. Founded by engineers with a customer-centric focus, we enthusiastically embrace every opportunity to solve technical challenges, whether it's crafting next-generation UI/UX for data interfaces or scaling our services across millions of virtual machines. This is just the beginning of our journey. About the Team: A superior platform demands an exceptional developer experience. Databricks Repos serves as the source control and workflow backbone that empowers data engineers, ML engineers, and analysts to manage code, collaborate with colleagues, and deploy data and AI applications seamlessly. Our team is responsible for creating the version control experience within Databricks, defining how users integrate their Git providers, manage code changes, track lineage, review pull requests, and promote code through jobs, pipelines, and deployments. We aim to deliver a straightforward, reliable, AI-native workflow that harmonizes Git-style development with the unique requirements of data and AI teams. Our objective is to facilitate a smooth journey from authoring to production across notebooks, SQL, Python, and Lakeflow, all within a unified platform. In this role, you will shape the vision and roadmap for Databricks Repos, determining how developers will build, test, review, and deploy code within our environment. You will collaborate with Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to create an integrated and user-friendly path to production. Your Impact: Design the comprehensive path to production experience for data and AI teams, covering everything from authoring to Git integration, CI, and CD. Define the integration of Repos with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows. Work alongside engineers to develop AI-assisted code management features such as automated code suggestions, recommended diffs, merge assistance, and deployment validation. Act as the customer advocate, translating user feedback into workflow enhancements that simplify source control and release management. Enhance developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.

Join Databricks in Shaping the Future of Data & AI with Databricks SQLAt Databricks, we are revolutionizing the way enterprises and startups harness the power of Data & AI globally. Our Databricks SQL (DBSQL) product stands at the cutting edge of AI-powered cloud data warehousing, enabling businesses to query, visualize, and make real-time decisions effectively at scale. DBSQL is recognized as the fastest-growing data warehouse worldwide. Explore insights on What is a Lakehouse by one of our co-founders.We are seeking a dynamic, strategic, and customer-focused Product Manager to spearhead innovation, define our roadmap, and guide DBSQL into its next growth phase.

At Databricks, our mission is to empower data teams to tackle the world's most challenging problems. The Databricks Free Edition provides an excellent opportunity for students, enthusiasts, and aspiring professionals to engage with data and AI hands-on, equipping them with the skills and confidence to innovate for the future.We are seeking a Senior Product Manager to join our team dedicated to enhancing Databricks Free Edition. In this role, you will work closely with a diverse group of product managers, engineers, and designers to craft experiences that foster engaging and impactful learning in data and AI.

At Databricks, we are driven by a mission to empower data teams to tackle some of the world's most challenging problems, from revolutionizing transportation to accelerating medical advancements. We achieve this by providing an unparalleled data and AI infrastructure platform, enabling our clients to leverage deep insights for business improvement. Our goal is to simplify the complex data management journey for our users while upholding the highest standards of data security. As the Staff Product Manager for Security, you will spearhead the data security initiatives for the Databricks Lakehouse platform. Your leadership will shape the product strategy, focusing on the identification, prioritization, and delivery of essential external and internal controls that help our customers comply with privacy, confidentiality, digital sovereignty, and other regulatory requirements. You will design intuitive policy models that empower our customers to manage access to their critical assets effectively. Your contributions will instill confidence in IT and security administrators, facilitating increased adoption of Databricks within their organizations. Our data champions will benefit from the security measures and operational simplicity you provide, allowing them to concentrate on maximizing value for their users. You will directly report to a Senior Director of Product Management.

Mission At Databricks, we strive to simplify and democratize data and AI, empowering organizations to tackle the world’s most challenging problems. As a Senior Product Designer specializing in AI and Business Intelligence (BI) experiences, your goal will be to create intuitive, trustworthy, and actionable advanced analytics and generative AI solutions for users of all backgrounds. Your role transcends traditional design; you will craft the future of human-AI collaboration. You will define how users can interact with their data in conversational language and receive reliable answers. Your design will influence how insights are produced, articulated, scrutinized, and disseminated, creating a seamless connection between sophisticated AI systems and human decision-making. This position is based in our Seattle office, where you will collaborate closely with product and engineering teams. The impact you will have: Revolutionize user data exploration through natural language and AI support. Create transparent and trustworthy interactions for AI-generated insights. Design experiences that facilitate rapid movement from exploration to validation to action. Encourage collaboration among data engineers, analysts, and business leaders. Help establish new design paradigms for AI-centric enterprise software. Contribute to the long-term AI/BI strategy, shaping how Databricks stands out in the analytics arena.

Join our dynamic team at Databricks as a Solutions Architect. In this pivotal role, you will leverage your expertise to design and implement innovative solutions for our clients, driving success and ensuring satisfaction.

At Databricks, we are driven by a passion for empowering data teams to tackle the world's most challenging issues — from advancing transportation innovations to expediting medical breakthroughs. Our commitment lies in crafting and maintaining the leading data and AI infrastructure platform, enabling our clients to leverage deep data insights for enhanced business performance. With a foundation rooted in engineering and a customer-first mentality, we eagerly embrace each technical challenge, whether it involves designing cutting-edge UI/UX for data interaction or scaling our services across millions of virtual machines. And we're just getting started.We are in search of a customer-focused, strategic, and results-driven Senior Product Manager for our Compute Platform. The Compute Platform is integral to powering Databricks workloads, offering various computing options tailored to different tasks - including Classic Compute, SQL Warehouses, and Serverless Compute. This platform is essential for many of our products and features.This position demands a highly collaborative and technically adept individual. You will coordinate product activities from vision to execution, engaging with large enterprise customers to comprehend their needs, developing a long-term product strategy, defining product roadmaps, and working closely with engineering to bring these products to life. In addition, you will liaise with various internal stakeholders to ensure product success both pre- and post-launch.Your impact will include:Researching, defining, and owning the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless).Collaborating closely with engineering, design, sales, and marketing teams to launch new features and drive user adoption.Interacting directly with customers and partners to gather insights and prioritize impactful solutions.Continuously enhancing efficiency and value for internal stakeholders and external customers through strategic execution.Establishing competitive differentiation between our compute platform and other SaaS and IaaS offerings.Working with leadership to ensure alignment of product initiatives with business objectives.Utilizing data-driven insights to gauge success, iterate on offerings, and improve user experiences.

At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems on the planet—from bringing innovative transportation solutions to life to accelerating the pace of medical advancements. We achieve this by designing and operating a premier data and AI infrastructure platform that enables our clients to leverage profound data insights to enhance their businesses.The Performance Engineering team collaborates extensively with various divisions across the organization to assess product performance, pinpoint performance bottlenecks, and work alongside engineers to resolve performance and scalability challenges. This role includes setting performance targets for software releases, guiding teams in developing performance benchmarks, conducting competitive benchmark analyses for different Databricks products, and performing in-depth analyses to identify and rectify performance issues. As the Senior Engineering Manager, you will foster partnerships with multiple engineering teams, spearhead performance and scalability initiatives, and deliver the most efficient and cost-effective solutions in the industry.

P-940 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging problems, from detecting security threats to developing life-saving cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our customers to concentrate on the critical challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly transformed from a small office in Berkeley, California, into a global entity with over 1,000 employees. We are trusted by thousands of organizations, ranging from startups to Fortune 100 companies, with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to building highly technical products that address significant real-world needs. We continuously push the boundaries of data and AI technology while maintaining the resilience, security, and scalability necessary for our customers' success on our platform. We operate one of the largest software platforms, managing millions of virtual machines, generating terabytes of logs, and processing exabytes of data daily. At this scale, we frequently encounter faults in cloud hardware, networks, and operating systems, and our software must effectively shield our customers from such issues. As a Backend Software Engineer, you will collaborate closely with your team and product management to prioritize, design, implement, test, and maintain microservices for the Databricks platform and products. Responsibilities include writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Potential teams you may join include: Data Science and Machine Learning Infrastructure: Develop services and infrastructure at the intersection of machine learning and distributed systems, empowering our flagship collaborative workspace, notebooks, IDE integrations, and project management tools. Our technology also facilitates machine learning at scale through tools for environment management, distributed training, and managing the ML lifecycle via MLflow. Compute Fabric: Create the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform, ensuring robustness, flexibility, and security.

Are you a visionary leader dedicated to leveraging data and AI to tackle pressing global issues? Do you excel at crafting narratives, developing impactful programs, and transforming intricate concepts into compelling stories that motivate change?As the Senior Program Manager for Databricks for Good, you will spearhead Databricks’ social impact initiatives from inception to execution. You will collaborate closely with internal teams and partner organizations, including nonprofits, universities, and public-interest entities, to design and scale programs that harness the power of data and AI to address real-world challenges.Your role will involve setting a clear vision for Databricks for Good, ensuring that it produces significant, lasting impact, while effectively communicating the nature and importance of that impact.

About Us At Otter, we are revolutionizing the digital landscape for the food industry. As off-premise dining continues to rise, we are committed to providing restaurants with the essential tools needed to navigate this changing environment. Our mission is to simplify complexities, enhance business growth, and ensure exceptional dining experiences for guests, no matter where they are. Our innovative platform caters to food businesses of all sizes, from beloved local eateries to expansive global chains. By partnering with us, restaurants can focus on their core mission: delivering outstanding meals to their patrons. Together, we strive to make quality food more accessible, dependable, and affordable for all. Your Role As a pivotal member of our dynamic team, you will lead the development of Otter’s data products, the backbone that enables restaurants to analyze, anticipate, and enhance their operational performance. You will take ownership of complete product outcomes within a diverse portfolio that encompasses analytics, real-time monitoring, alerts, operational insights, and data integrity. Your responsibilities will include: Transforming operator challenges into innovative solutions that distill complex, multi-channel data into clear, actionable insights. Enhancing data reliability by collaborating with platform, data, and finance teams to ensure freshness, accuracy, data lineage, and metric definitions, making our products the trusted source for operators. Focusing on deliverables that prevent revenue loss, identify issues, and drive tangible operational enhancements. Creating scalable and rapid solutions that facilitate new use cases without the need for bespoke work. Engaging cross-functionally with Engineering, Design, Data Science, Go-To-Market, and Customer teams to iteratively develop and rapidly learn from product iterations. Taking responsibility for outcomes, defining success metrics, and driving improvements in adoption, engagement, customer satisfaction, data service level agreements, and revenue impact. Qualifications A minimum of 5 years of experience in product management or a closely related field, focusing on data/analytics, platforms, or operational tools. Proven track record of delivering insight-driven products (such as dashboards, alerts, and workflows) that have achieved measurable business outcomes. Strong data fluency with proficiency in SQL, metrics design, and experiment/impact analysis; capable of deep collaboration with data science and engineering teams. Exceptional product judgment and UX instincts; adept at distinguishing between informative and actionable insights while designing for busy operators. Ability to lead cross-functional teams effectively, with outstanding written and verbal communication skills.

At Databricks, we harness the power of a cutting-edge platform utilized by a diverse spectrum of users, including data scientists, engineers, analysts, business leaders, and developers. Our mission is to empower these individuals with exceptional content that is timely, contextual, and precise, enabling them to achieve their objectives efficiently. By doing so, we foster quicker adoption rates, reduce support costs, and enhance overall customer satisfaction. To achieve this goal, we are shifting our perspective to view content as an integral part of the product.We are seeking a Staff Product Manager to spearhead our Content Experience strategy. In this pivotal role, you will oversee how users discover, learn from, and engage with content across various formats, including documentation, in-product assistance, and AI-driven guidance. You will play a key role in shaping the future of content at Databricks, elevating it to a first-class product experience and seamlessly integrating content development into our product lifecycle.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging issues — from transforming transportation innovations to fast-tracking medical advancements. Our mission is realized through the development and management of the world's leading data and AI infrastructure platform, enabling our clients to harness deep data insights for business improvement. Founded by engineers with a strong focus on customer satisfaction, we eagerly embrace technical challenges, whether it's creating next-generation UI/UX for data interaction or scaling our services across millions of virtual machines. Our journey is just beginning.About the Team:The AI Platform team is responsible for creating the foundational infrastructure that facilitates large-scale machine learning and AI on Databricks. Our offerings cover the entire ML lifecycle — from feature engineering and model training to model serving and monitoring — allowing data and AI teams to confidently build, deploy, and manage production ML systems. We delve into some of the most technically demanding aspects of the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.Our goal is to simplify the process for enterprises to operationalize AI. We achieve this through a unified, governed, and high-performance AI platform that integrates seamlessly with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a streamlined experience. You will be part of a team that delivers products utilized by thousands of the world's most advanced data and AI organizations.In this role, you will shape the vision and roadmap for AI platform product areas, defining how customers construct, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate with engineering teams to provide a cohesive and robust pathway from experimentation to production.

At Databricks, we are passionate about empowering data teams to tackle the world's most challenging issues, ranging from security threat detection to groundbreaking cancer treatment development. Our mission is to create and manage the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-impact challenges central to their goals. As a trusted partner for our clients, Databricks is committed to building the most reliable Data and AI platform globally. The Trust & Safety team plays a pivotal role in this endeavor, focusing on Security Foundation Engineering to safeguard our platform and our customers from ever-evolving threats. We are actively seeking a Senior Engineering Manager to lead this critical area and establish the blueprint for integrating security across every layer of our platform.

P-1126 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most challenging issues, from detecting security threats to developing cancer treatments. Our mission is to create and maintain the finest data and AI infrastructure platform, enabling our clients to concentrate on the critical challenges central to their objectives. Our engineering teams are dedicated to designing advanced products that address significant needs across various sectors. We consistently innovate within the realms of data and AI technology while ensuring resilience, security, and scalability—key components for our clients' success on our platform. Databricks is entrusted with handling our clients' most sensitive data, and our Trust & Safety team is committed to building the most reliable data analytics and machine learning platform available. Security Engineering plays a vital role within Trust & Safety, and we seek experienced leaders to define our strategic vision in this essential domain.

Role overview hiya is hiring a Senior Product Manager in Seattle to help shape new product features and improvements. This role has a direct impact on the direction of hiya’s products, focusing on aligning offerings with what customers need. What you will do Collaborate with engineering, design, and business teams to define product vision and strategy Oversee the full product lifecycle, from concept to launch Apply insights from market research and user feedback to guide priorities and decisions Advocate for customer needs throughout development Requirements Proven experience managing products from initial idea through launch Strong skills in working with cross-functional partners Ability to turn market research and user feedback into clear plans Track record of building products that create real value for customers This is a full-time position based in Seattle, US.

At Databricks, we are driven by a passion for empowering data teams to address some of the most challenging problems in the world—from transforming the future of transportation to fast-tracking medical innovations. Our mission is to build and maintain the world's leading data and AI infrastructure platform, enabling our customers to harness deep data insights to enhance their business operations. Founded by engineers with a customer-centric approach, we eagerly embrace every opportunity to confront technical challenges, from crafting next-gen UI/UX for data interaction to scaling our services across millions of virtual machines. And this is just the beginning.As a Staff Frontend Engineer, you will collaborate with your team and product management to simplify data insights for our users. We seek engineers who are genuinely customer-focused, capable of overseeing the entire product and user experience beyond mere technical execution. You will lay the groundwork for developing robust, scalable, and delightful products.Your contributions will include creating experiences that guide our customers through the complete project lifecycle—from data loading and result visualization to statistical modeling and deployment as production artifacts.Design and deliver reusable UI primitives and component patterns that provide consistent behavior across consoles, enabling a write-once, run-anywhere approach.Define application bootstrapping and cross-surface navigation primitives that abstract console boundaries while ensuring accurate authorization and routing.Implement unified frontend data clients and service components.Create, deploy, test, and enhance platform components that support intricate frontend data exploration and visualization experiences.Offer reference patterns, templates, and tests that standardize portability, minimize rework, and expedite the delivery of cross-surface features.Collaborate with feature teams to establish single-console experiences and facilitate platform migrations from pilot pages to widespread adoption.