Databricks jobs in Seattle, WA - 538 jobs

This role offers a chance to make a huge impact within our Engineering team. As a trusted advisor and partner, you will collaborate with leaders across the Engineering organization to provide strategic talent strategy and people programs that support a scalable and progressive organization. Responsibilities Manage core people programs for the Engineering team (including talent & performance management, compensation, development programs, and change management) Use data and insights to inform the design of the talent and org strategy to achieve our business goals Partner with our Employee Relations team to manage issues such as investigations, employee concerns, and performance management Promote communication between the business and other People and G&A functions; bring insights from your client group back to central teams to ensure programs, policies, and systems are built to support the business Enable thoughtful learning programs and trainings to improve organizational health Provide support and consultation across the People team Qualifications 5+ years of HR experience, with a focus on strategic partnership with managers up through the Senior Director/Vice President levels In-depth knowledge of Human Resources practices and legal requirements Proficiency in interpreting and communicating procedures, policies, information, ideas, and instructions Ability to use data to support and influence decisions, express the business needs and explain program ideas to the management team Pay Range Transparency Zone 1 Pay Range: $152,400 - $213,375 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. Benefits Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

A leading tech company in Seattle, WA, is seeking a Software Engineering Manager to oversee multiple engineering teams and projects. Key responsibilities include setting priorities, developing technical roadmaps, and mentoring team members. Ideal candidates will have significant programming experience in C++, Java, or Python, and proven leadership in managing teams. The role offers a competitive salary range of $197,000 to $291,000, plus bonuses and benefits. #J-18808-Ljbffr

A leading tech company is seeking a Senior Director for Platform Operations in Seattle. This role involves driving technical strategy for Google Distributed Cloud, overseeing SRE initiatives, and managing a team of 50-100 personnel. Ideal candidates will possess extensive experience in system design and site reliability engineering with a strong educational background. The compensation ranges from $349,000 to $485,000, including bonuses and benefits, reflecting the importance of operational excellence in cutting-edge cloud solutions. #J-18808-Ljbffr

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. Mission Databricks is looking for an outstanding Senior Manager, Finance to join our FP&A team in our mission to help data teams solve the world's toughest problems. In this role, you will have the opportunity to strategically assess consumption growth drivers and partner with our GTM team to drive impact. As a finance professional who has experienced hyper-growth, you will solve hard problems independently, have deep experience in financial analysis, and have strong executive presence to communicate with senior leadership. There will be new problems to solve, and you will approach them with a first-principles thinking approach to come up with a solution. The impact you will have Analytically solve problems with the ability to gather and summarize large amounts of data to lead efficient executive decision-making; Lead the end-to-end recommendation process. Nurture deep, trusted partnerships with Sales, Finance, Commercialization, Data Science, Accounting, IT, Business Operations, and their respective technical teams. Find creative solutions to data challenges and communicate them effectively through easy-to-understand narratives and presentations. Build and maintain financial and operational models to help us understand real-time forecasts for key financial metrics. Propose and implement solutions to drive key financial metrics in partnership with the GTM team. Guide process improvement, standardization, simplification, install proper controls, and reporting enhancements. What we look for Bachelor's Degree in Business, Finance, IT, or equivalent quantitative field. 8+ years or equivalent tenure from related positions in FP&A, corporate finance, accounting, or data analytics teams. Team Leadership: Demonstrated ability to lead high-performing teams, balancing depth and breadth in a fast-moving, dynamic environment. Financial Operator: Strong operational finance experience, partnering closely with cross-functional leaders and translating data into actionable, executive-level narratives. Business Partnership: Proven ability to drive strong cross-functional relationships (especially with GTM organizations) to achieve business outcomes. Financial Modeling: Be able to understand and update financial models that follow industry best practices. Can maintain complex spreadsheets. Expertise in Google Sheets is a plus. Data Analysis: Experience in understanding business questions and making data-driven insights. Excellent analytical skills. Communication: Ability to present financial data using detailed reports, charts, and narratives. Experience with GAAP and non-GAAP financial metrics. Pay Range Transparency Zone 1 Pay Range $197,200 - $276,025 USD Zone 2 Pay Range $177,500 - $248,450 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

REQ ID RDQ227R1057 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. As a UX Research Intern, you will leverage qualitative and quantitative research methods to conduct research that ensures the Databricks user experience is measurably usable, efficient, and delightful. You will learn how to be a successful researcher at a high-growth enterprise technology company that operates at the important intersection of data and AI. You will partner with Engineering, Product Management, and Design, and report to the UX Research lead. You will have a dedicated mentor and will join our intern cohort where you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company. The impact your will have: Conduct user research: Plan and execute qualitative and quantitative research studies to understand the needs, desires, and behaviors of our users. Analyze data: Interpret and synthesize research findings to generate actionable insights and recommendations for product improvements. Collaborate with teams: Work closely with cross-functional stakeholders to integrate research findings into the product development process. Create research reports: Prepare detailed research reports and presentations to communicate insights effectively to stakeholders. What we look for: Currently enrolled in a graduate degree program in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field Pursuing with an expected graduation date of December 2026 or Spring 2027 Skilled in both qualitative and quantitative research methodologies, such as contextual inquiry, usability testing, diary studies, and survey design and statistics Prior research experience through internships, academic labs, or scholarly projects Detail-oriented and passionate about understanding user needs and behaviors.

A leading tech company in Seattle is seeking a Senior Software Engineer for BigQuery's Analytics AI organization. Candidates should have at least 5 years of software development experience with a focus on AI/ML and Data Analytics. Responsibilities include developing agentic solutions, redefining customer experiences, and architecting systems that integrate Large Language Models with BigQuery. Competitive compensation package and opportunities to work on innovative projects are provided. #J-18808-Ljbffr

REQ ID RDQ227R1056 At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Product Design Intern, you will join a team that works diligently to understand and solve our customers' most challenging problems. You will learn how to be a successful product designer at a high-growth enterprise technology company that operates at the important intersection of data and AI. You will have a dedicated mentor and will join our 2025 intern cohort where you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company. This is a 12-week paid summer internship program. The impact you will have: Work with a cross-functional team to build features for the Databricks platform Manage your project end-to-end, from discovery and ideation through final design prototype for engineering to implement from Conduct research with customers to better understand their needs and improve your design What we look for: Pursuing a degree in design, human-computer interaction, or a related field with an expected graduation date of December 2026 or Spring 2027 You have excellent interaction design skills with knowledge of user-centered design methodologies and usability. You use analytical skills to make data-driven decisions (e.g. analyze product usage) You have exceptional communication and storytelling skills, with the ability to make complex topics simple and clearly communicate nuance to partners (engineers, customers, field, etc.) in both written and verbal form You are excited to solve ambiguous problems with a collaborative team

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; Seattle, WA, USA; New York, NY, USA. Minimum qualifications: * Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline, or equivalent practical experience. * 15 years of experience working as a technical software engineering leader or 13 years with an advanced degree. * Experience with technical innovation within cross-functional engineering environments. Preferred qualifications: * Master's or PhD degree in Computer Science, Mathematics, or other relevant engineering discipline, or equivalent practical experience. * Experience successfully producing software products and large-scale distributed systems. * Strong expertise building Gen AI, ML products, agent frameworks, agent protocols (e.g., MCP, A2A), RAG, prompt engineering, evals. About the job Gemini Cloud Assist is the Google Cloud AI-powered cloud management product portfolio that transforms the experience of our customers across all surfaces to learn, design, deploy, operate, investigate, and optimize their applications, workloads, and services. The AI space is evolving rapidly with newer and powerful models, agent frameworks, protocols, and security. As a Principal Engineer, you will strategize, build, and develop Gemini Cloud Assist. You will transform how enterprise customers consume and manage their businesses in the cloud and how they can influence and work across Google Cloud, Google DeepMind, and external AI ecosystems. In this role, you will be responsible for the Gemini Cloud Assist products, platforms, and tooling; defining the usage of agentic infrastructure, models and planners, agent frameworks, agentic protocols, quality frameworks, and MCP server integrations; and evolving newer agentic use cases to transform the Google Cloud experience. You'll work in partnership with multiple other technical leaders across Google Cloud Platform and build Gemini Cloud Assist that is compliant, enterprise ready, and built for scale. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Provide architecture and technical direction for the team by being an expert in Gen AI and cloud application management. * Strategize and create the technical roadmap for building agentic, LLM powered, contextual cloud assistance products, platforms, and tooling to transform the Google Cloud application experiences. * Work with all the product areas and influence stakeholders across the organization to build joint roadmaps and drive adoption of Gemini Cloud Assist. * Influence, guide, mentor, and direct multiple engineering technical leads across each product area.

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; New York, NY, USA; Sunnyvale, CA, USA. Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 10 years of experience in program or project management. * 6 years of experience leading management consulting programs at a consulting firm. * Experience leading cross-functional initiatives to improve software development velocity and efficiency. * Experience in the end-to-end product development process (SDLC). Preferred qualifications: * 10 years of experience managing cross-functional or cross-team projects. About the job A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. As a Head of SDLC Improvement for Google Cloud Platform, you will play a critical role in defining how we build cloud services at scale. You will act as a strategic force multiplier for our engineering and product leadership, focused on two primary outcomes: accelerating the velocity of software development and ensuring we deliver cloud services that are secure and compliant. In this role, you will diagnose bottlenecks/limitations in our software development lifecycle, design improved mechanisms, and govern these mechanisms to achieve continual improvement. You will combine the strategic excellence of a executive management consulting with the product operations/change management expertise required to move our engineering organization forward. The US base salary range for this full-time position is $221,000-$311,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Lead strategic initiatives to identify and remove friction in the Software Development Life Cycle (SDLC), enabling engineering teams to deliver features faster without compromising quality or security. * Lead strategic initiatives to ensure that Google Cloud follows best practices for designing for security and compliance. * Partner with VP-level stakeholders across product management, engineering, operations, and sales to design and deploy a more scalable SDLC mechanism. * Land, operate, and continually improve SDLC mechanisms to enable development speed, security and compliance.

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. The Authoring team at Databricks builds the main user experience which drives the workloads for most of the company's revenue. Within this organization, the Lakeflow Designer team is on a mission to enable less technical users to transform data with ease through a low-code and AI-first experience. We are vastly simplifying the way our customers build SQL and ELT pipelines by combining a visual editing surface with agentic assistance, making powerful data insights accessible to this new persona. The Role: As the Engineering Manager for Lakeflow Designer, you will lead a seed team of engineers to build a brand new Visual and AI-first editing experience for Databricks SQL. You will play a pivotal role in bringing this product from its current Private Preview stage to General Availability (GA) in the next 6-9 months. You will be responsible for scaling the team from its current size of ~6 engineers to 10-15 over the next year. This is a high-visibility frontend-focused role where you will guide the development of intuitive user experiences and embedded agentic assistants that have the potential to completely change how customers interact with and analyze data on the platform. The impact you'll have: Lead Product Launch: Drive the roadmap and execution to launch Lakeflow Designer to General Availability (GA) within 6-9 months, ensuring we bring the product to market and delight users. Scale the Team: Rapidly hire and build out the team in a fast-moving area, growing the engineering headcount to 10-15 members. Drive Technical & UX Strategy: Oversee a frontend-heavy technology stack (React, TypeScript), championing high-quality UX and the integration of Gen AI/LLMs to build agentic capabilities. Unlock Data Insights: Build an experience that opens up the platform to a broader, less technical audience, enabling entire new categories of customers to get insights from their data. Cross-Functional Collaboration: Partner closely with a strong Technical Lead, Product Management, and Design team to define the product vision and ensure successful execution. What we look for: 10+ years of software engineering experience, with a strong track record of technical leadership and impact. 5+ years of Engineering Leadership: Experience leading frontend teams, with a proven ability to manage and grow high-performing engineering groups. Product & UX Passion: A strong passion for product and user experience; you care deeply about how users interact with the tool. Zero-to-One Experience: Experience bringing a product from "zero to one" is a significant plus. AI/LLM Interest: Experience building Agents and working with LLMs is a bonus. Fast-Paced Execution: Ability to thrive in a fast-moving environment, specifically with experience hiring and scaling teams rapidly. Why Join Us? Redefine SQL Authoring: SQL is the main way our customers interact with their data; this role offers the chance to completely change how customers write SQL across the Databricks platform. Intersection of AI and UX: Work at the cutting edge of Gen AI, building agentic assistants that genuinely simplify complex workflows,. High Impact: Lead a team that is building a product with the potential to unlock data insights for vastly more users than what is possible today with raw SQL or notebooks. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

RDQ327R173 Mission At Databricks, we design tools that make complex data workflows intuitive and powerful. On the data engineering team, our mission is to simplify how data is ingested, transformed, and prepared so that teams across an organization can turn raw data into impact. Designers at Databricks blend strong visual craft with systems thinking, shaping products that support some of the most advanced data teams in the world. Lakeflow Connect solves a persistent data engineering problem: moving data from enterprise systems (Salesforce, Workday, SQL Server, and more) into Databricks. Over 2,000 customers already use our point-and-click ingestion experience, and we're hiring a Senior Product Designer to take it further. You'll own the end-to-end design of how users discover, configure, monitor, and troubleshoot their ingestion pipelines, shaping experiences for both data engineers and business analysts. You'll partner with cross-functional teams in SF and Seattle to ensure a cohesive experience across the data engineering journey. The impact you will have Design the front door to the Lakehouse. Your work will shape the first impressions and ongoing trust for thousands of organizations using Lakeflow Connect for enterprise data ingestion. Create experiences that serve both data engineers needing granular control and analysts wanting ready-to-use data Own the end-to-end ingestion experience across connector setup, credentials, scheduling, monitoring, error recovery, and schema evolution. Define AI-native data ingestion by integrating Databricks Assistant into pipeline creation and troubleshooting. Create scalable patterns for a diverse and growing range of connectors What we look for 5+ years of product design work experience A bachelor's or higher degree in Design, HCI, or a related field, or equivalent practical experience. A strong portfolio of past projects demonstrating a solid design process, from inception to production Experience working collaboratively in a multidisciplinary team, communicating effectively with both design and non-design stakeholders. Can execute beautiful visual and interaction work that's rooted in a data-driven and well-researched UX process Experience designing enterprise software, services, or other complex systems (Products in the Big Data space are a nice-to-have) Experience with React, SQL, CSS, and/or Python is a nice-to-have

Apply share * link Copy link * email Email a friend info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Kirkland, WA, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA. Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 11 years of experience in management consulting, product management and strategy, or analytics in a technology company. * Experience working with and analyzing data, and managing multiple cross-functional programs or projects. * Experience in product strategy, strategy planning, financial analysis, business generation strategy, executive communication, commercialization, and economics. Preferred qualifications: * Advanced degree or equivalent practical experience. * Experience with R, SQL, spreadsheets, or similar analytics tools. * Experience working with product and engineering teams. * Excellent written and verbal communication skills. About the job Product and Business Strategy Leaders bring together teams across Google's functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines. Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands. The US base salary range for this full-time position is $171,000-$254,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Collaborate with Google Cloud's leadership across functions to prioritize and define innovative packaging and pricing architecture for Google Cloud Products and Services. * Create business generation principles, frameworks, and policies at scale across core AI product portfolios. * Develop and leverage engagement and customer insights to inform business generation strategies. * Establish pricing policies and structures across customer segments and channel structures. * Leverage policies and structures to ensure business generation and customer satisfaction with products and solutions and use them as a strategic lever to differentiate Google Cloud and drive market disruption.

A leading technology company in Seattle seeks a Product Manager to lead quantum computing products. The ideal candidate will have extensive experience in product management and a solid understanding of quantum technologies. Responsibilities include conducting market research, managing product life-cycles, and collaborating across teams. The role offers a competitive salary range of $183,000 to $271,000, along with bonuses and equity. #J-18808-Ljbffr

Google Kirkland, WA, USA ; Seattle, WA, USA Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Seattle, WA, USA. Bachelor's degree or equivalent practical experience. 5 years of software development experience with a focus on Artificial Intelligence/Machine Learning (AI/ML) or Data Analytics. 5 years of experience with software development in one or more programming languages. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Experience with Generative AI, Agentic Frameworks (e.g., LangChain, AutoGen), Backend System Design. Experience with Large-scale Distributed Systems and with one or more of the following Java/Go/Python/TypeScript. Preferred qualifications Master's degree or PhD in Computer Science or related technical field. Experience building developer-facing products for integrated development environments (IDEs like VSCode) or Command Line (CLI). Experience with Large Language Models for code (e.g., Gemini, GPT-4, Claude), modern cloud infrastructure, and industry-standard developer tool frameworks. Familiarity with data warehousing concepts and BigQuery. Familiarity with ML concepts and Cloud services (GCP). About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer in BigQuery's Analytics AI organization, you will build the intelligent backbone for the next generation of data processing. Our mission is to move beyond simple automation and into the era of Agentic AI, creating sophisticated, autonomous solutions that partner with users to solve their data issues. You'll design and implement AI-native solutions that act as a force multiplier and architect agents capable of reasoning over vast datasets, optimizing pipelines, and assisting across the entire data lifecycle, from ingestion and feature extraction to model training and advanced analytics. You'll work at the intersection of large-scale distributed systems and Generative AI, partnering closely with product managers, engineers, data scientists, and designers to ensure BigQuery remains the industry leader in intelligent data warehousing. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Lead the design and development of next-generation agentic solutions that manage reasoning for various data developer experiences such as data ingestion, data pipelines, data science, feature extraction, model training and more. Redefine the customer experience for Data Analytics with an AI-first focus. Architect systems that integrate Large Language Models (LLMs) with BigQuery's core engine to create autonomous "experts" for various user personas. Iterate on agentic frameworks, contributing to sophisticated tool-use, memory, context retrieval, multi-step orchestration, and rigorous evaluation (evals) to ensure accuracy and reliability of orchestration at petabyte scale. Partner cross-functionally with Product, Data Scientists, Applied Scientists, and UX Designers to define the roadmap for AI-native data journeys. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading data and AI company is seeking an experienced Legal Counsel to join their go‑to‑market legal team. The role involves negotiating customer and partner agreements, providing legal support for revenue activities, and counseling on issues related to technology, data privacy, and intellectual property. The ideal candidate has a JD, 7+ years of legal experience, and strong communication skills. The position is hybrid, based in San Francisco. #J-18808-Ljbffr

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Miami, FL, USA; Seattle, WA, USA. Minimum qualifications: * Bachelor's degree in Computer Science or equivalent practical experience. * 3 years of experience automating infrastructure provisioning, DevOps, continuous integration, or delivery. * Experience designing cloud enterprise solutions and supporting customer projects to completion. * Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. Preferred qualifications: * Experience with Google Cloud Platform (GCP) techniques such as prompt engineering, dual encoders, and embedding vectors. * Experience in running AI/ML training workloads or inference workloads on Graphics Processing Unit (GPU) or Tensor Processing Unit (TPU). * Experience with cloud providers such as Google Cloud Platform (GCP), designing and building infrastructure platforms using compute, networking or storage technologies. * Experience building prototypes or applications. * Familiarity with standard IT security practices such as identity and access management, data protection, encryption, certificate and key management. * Knowledge of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE). About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Cloud Engineer, Platform and Infrastructure, you will provide exceptional technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide prescriptive guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work closely with Product Management and Product Engineering to drive excellence in Google Cloud products and features.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Provide domain expertise in cloud platforms and infrastructure; solving complex cloud platform issues. * Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives. * Be a technical advisor and perform troubleshooting to resolve technical issues for customers. * Create and deliver best practice recommendations, tutorials, blog articles, and sample code. * Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. About the Team: Join the Core of Databricks Infrastructure The Compute Infra Team is the engine behind all of Databricks' products and Control Plane services. We build and scale the foundational compute infrastructure that enables every Databricks customer to succeed, operating one of the largest and most dynamic data and AI clouds in the world. Mission: Define the Future of Cloud Compute Efficiency and Scale As the Technical Lead for Compute Fleet Management, you won't just manage a fleet-you will set the standard for how Databricks consumes and optimizes compute across all three major clouds (AWS, Azure, and GCP). This is a mission-critical role with direct impact on our gross margin and customer experience. Your mandate includes: Pioneering Fleet Optimization: Provisioning and pooling of O(Billion)s of cloud resources to achieve peak workload performance, industry-leading efficiency, and robust resource isolation. Delivering Hyper-Scale Resilience: Build the architecture that guarantees horizontal scaling and resilience against zonal or even cloud account-level failures, ensuring Databricks is always on. Owning the Critical Path: Lead the development of the lowest-dependency systems required to bootstrap and manage our massive compute platform. Outcomes: The Impact You Will Deliver This role is for an engineer who thrives on owning the most challenging and impactful outcomes: High Availability: Achieve and maintain 99.99% availability for all batch and serving workloads. Stellar Efficiency: Drive utilization to 60% or higher-a crucial metric that requires balancing high efficiency with unwavering tolerance for cloud failures. Best-in-Class Isolation: Architect and enforce strong security and performance isolation across a diverse range of customer workloads. Requirements: Are You Ready for this Challenge? We are seeking a seasoned Principal Engineer who has not only built but successfully operated large-scale, mission-critical infrastructure systems in production. You must have a track record of: Leading Transformative Projects: Taking ownership of complex, cross-team, cross-layer, and multi-quarter strategic engineering initiatives from concept to execution. Distributed Systems Mastery: Deep, hands-on experience developing and operating high-scale distributed systems on at least one major public cloud. Influence Without Authority: Proven ability to drive consensus, establish technical direction, and lead large technical efforts across organizational boundaries. Execution Discipline: Exceptional strength in planning, tracking project progress, and managing complex cross-organizational dependencies. The Edge: Highly Desirable Experience Experience managing and scaling a massive fleet of GPUs for AI/ML workloads. Experience with developing and operating large-scale distributed systems across all major clouds (AWS, Azure, and GCP). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range$264,300-$322,300 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

**Introduction** A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio **Your role and responsibilities** Currently, we are looking for a highly experienced, team-oriented Oracle Cloud Payroll Functional Lead to join our talented consulting team. This is a US based, full-time position, with travel to customer sites as needed. What You'll Do: Consult on best practices on Oracle Cloud Payroll policies Be an expert in the configuration of and management of the Oracle Cloud ERP Payroll applications Provide best-practice guidance on payroll business processes and implementation Support the definition and validation of various payroll related conversion activities **Required technical and professional expertise** Bachelor degree (or equivalent experience) Minimum 5 years of experience as an Oracle Cloud Payroll Lead with 2-4 years of experience in implementing Oracle Cloud Experience with public sector clients like state governments, counties and cities, considered a plus Applicants with hands-on experience with Oracle HCM Cloud Tools such as HCM Extract, HDL, PBL experience are preferred IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** We are seeking individuals with are passionate about technology, to provide complex support services of our SaaS solutions. Reporting to the Manager of Technical Support, this individual will work closely with our customers and Customer Success Managers to provide break-fix support, operational maintenance, and premium support services. This position is an integral part of IBM Cloudability's long-term relationship with its global customers, and the efforts put forth by this individual will directly impact the long-term success of the relationship. To succeed in this team, this individual must have the passion and energy to work cross functionally in a collaborative environment. **Your role and responsibilities** Cloudability support is a global 24/7 team whose mission is to provide our customers with world class support. We strive to go above and beyond for our customers ensuring their success using our Cloudability products. What You'll Do: * Support and maintain customers who have implemented the IBM Cloudability SaaS solution, resolving customer issues in a timely fashion. * Operational management of clients (e.g. helping loading new data, maintaining and validating dashboard/report outputs, etc...) * Build and maintain excellent relationships with clients and achieve the highest level of customer satisfaction. * Work as part of our extended support team in a startup atmosphere, doing whatever it takes to exceed customer expectations. * Use your business and technical analysis skills and knowledge of IT environments to solve complex issues and promote best practices. * Collaborate with other departments in the company to achieve customer satisfaction. **Required technical and professional expertise** * Exposure to technical support, system implementation/administration experience * 4 year degree in engineering, computer science, MIS, finance or equivalent preferred * Basic programming skills, e.g. HTML, SQL. **Preferred technical and professional experience** * Knowledge and application of relational database concepts. * Specific knowledge and application of IT services and financial management including budgeting cost allocations, capital & operating expense handling, program portfolio management, and application / infrastructure support. * Operational knowledge of IT infrastructure domains including data centers, network / communications, server utilization, virtual environments, storage, and application development & maintenance. * AWS, GCP, and/or Azure experience * Kubernetes experience * Strong analytical and problem solving skills. * Strong skills in data analysis/manipulation. * Self-starter - able to come up to speed on complex, difficult concepts with minimal assistance. * Ability to quickly context-switch between multiple complex work streams. * Instinctive ability to subdivide problems into basic components in order to efficiently pinpoint root cause of issues. * Client-focused attitude - a customer advocate. * Team player with solid communication and presentation skills. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.