Senior Data Scientist at Moveworks | Mountain View

P-57 At Databricks, we are passionate about empowering data teams to tackle the world's most challenging problems. Our mission is to create and operate the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their objectives. Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 dedicated employees. Thousands of organizations, from small startups to Fortune 100 companies, rely on Databricks for their critical workloads, establishing us as one of the fastest-growing SaaS companies globally. Our engineering teams are committed to developing highly technical products that meet significant needs in the industry. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability—key factors in ensuring our customers' success on our platform. We manage one of the largest software platforms in existence, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system issues, necessitating that our software effectively shields our customers from such challenges. As a Data Scientist on the Data Team, you will play a crucial role in fostering a data-driven culture at Databricks by working on the company's top priorities. The Data Team also acts as an internal customer, utilizing Databricks to shape the future direction of our products. Your Impact: Analysis at the speed of thought: Enhance decision-making capabilities by developing robust data science tools for business leaders, analysts, and fellow data scientists. Extend capabilities of Databricks: Collaborate closely with the Data Platform and Product Engineering teams to integrate data science tools with existing offerings and the core product. Strategic business insights: Spearhead insight generation for key company priorities and essential engineering initiatives focusing on reliability and efficiency. Gather evolving requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical stakeholders. Mentor and guide junior data scientists on the team regarding project planning, technical decisions, and reviews of code and documentation. Represent the data science discipline across the organization, advocating for a more data-driven approach. Act as a representative for Databricks at academic and industry events.

Join Databricks as a Staff Software Engineer focused on Backend development, where you'll play a crucial role in enabling data teams to tackle some of the world's most challenging problems, ranging from security threat detection to cancer drug development. Our mission is to build and operate the world's leading data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, making us one of the fastest-growing SaaS companies worldwide.As part of our engineering team, you'll develop and maintain highly technical products that address significant real-world needs. We constantly push the limits of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success.Our software operates at an impressive scale, managing millions of virtual machines and processing exabytes of data daily. We frequently encounter cloud hardware, network, and operating system faults, and it is vital that our software effectively shields customers from these issues.As a Backend Software Engineer, you'll collaborate closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform. Your responsibilities will include writing software in Scala/Java, building data pipelines using Apache Spark and Apache Kafka, integrating third-party applications, and interacting with cloud APIs such as AWS and Azure.Possible teams you could join include:Data Science and Machine Learning Infrastructure: Develop services and infrastructure that blend machine learning and distributed systems, empowering collaborative workspaces, notebooks, IDE integrations, and project management tools.Compute Fabric: Create resource management infrastructure that supports big data and machine learning workloads in a robust, flexible, secure, and cloud-agnostic manner, managing millions of virtual machines.

At Databricks, we are dedicated to empowering data teams to tackle some of the most significant challenges in the world—from realizing the next mode of transportation to accelerating medical innovations. Our mission is to build and operate the premier data and AI infrastructure platform, enabling our customers to harness deep data insights for business enhancement. Our engineering teams create technical products that address real-world needs. We continually push the limits of data and AI technology while ensuring the security and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, operating millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Our software is designed to seamlessly shield our customers from cloud hardware, network, and operating system faults. As a member of the Observability team, you will craft observability solutions that deliver insights into the health and performance of our products and infrastructure.

P-97 At Databricks, we are dedicated to empowering data teams to tackle the most significant challenges facing the world today. We achieve this by creating and managing the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their operations. Our commitment to innovation drives us to constantly explore the edges of data and AI technology while maintaining the resilience, security, and scalability essential for our customers to thrive on our platform. With one of the largest software platforms globally, our infrastructure comprises millions of virtual machines, producing terabytes of logs and processing exabytes of data daily. Given our scale, we routinely encounter faults in cloud hardware, networks, and operating systems, and our software must adeptly shield our clients from these issues. In the role of Performance Engineer, you will collaborate extensively with various teams across the organization to assess the performance of products and features. You will identify performance bottlenecks and partner with engineers to address performance and scalability challenges. This includes establishing performance targets for different software releases, guiding teams in developing performance benchmarks, conducting competitive benchmark analyses for various Databricks products, and performing in-depth analyses to diagnose and rectify performance issues.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized by providing the world’s premier data and AI infrastructure platform, enabling customers to harness deep data insights for business enhancement. Our Search technologies are integral to this mission, facilitating keyword retrieval, semantic similarity through vector embeddings, and hybrid solutions that blend both methods. These capabilities enable users to discover and comprehend information across vast, intricate datasets, powering applications such as Retrieval Augmented Generation (RAG), AI assistants, recommendation systems, enterprise knowledge management, in-product search, and data exploration. As a Senior Engineering Manager for Search, you will be pivotal in designing and scaling our next-gen Search product, which includes Vector Search, Keyword Search, and Search Quality. You will lead the development of a robust, high-performance, cost-effective, and developer-friendly Search stack, equipping customers to create AI applications with precision, speed, and scalability. In addition to hands-on contributions, you will help define the long-term vision, mentor senior engineers, collaborate across teams, and spearhead strategic initiatives that enhance the technical and business impact of Search at Databricks.

P-1124 Summary At Databricks, we are driven by a passion for empowering data teams to tackle some of the most challenging problems in the world, spanning from security threat detection to advancements in cancer drug development. We achieve this by constructing and managing a top-tier data and AI infrastructure platform, enabling our customers to concentrate on their high-value missions. Our engineering teams are dedicated to creating highly technical products that address significant needs in the world. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers’ success on our platform. Customers place their trust in Databricks with their most sensitive data, and our Trust & Safety team is committed to establishing the world’s most reliable data analytics and machine learning platform. Security Engineering plays a pivotal role within Trust & Safety, working diligently to safeguard customer data from malicious threats. We are seeking seasoned leaders like you to craft the vision and define the strategy for this critical area. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical vulnerabilities in our infrastructure and services. Attract industry-leading talent to our team. Serve as a representative for the security engineering discipline throughout the organization, advocating for a data-driven approach. Represent Databricks at academic and industry conferences and events. What we look for: A minimum of 7 years of experience in Data Security or related fields, with expertise in at least two of the following areas: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Proven experience in building systems at large-scale internet companies is highly desirable. ...

Join Databricks as a Lead Security Architect and play a pivotal role in fortifying our IT infrastructure. In this fast-paced environment, you will design and implement a secure and scalable architecture to safeguard our corporate assets. Your focus will encompass crucial aspects of IT security, including Identity and Access Management (IAM), Zero Trust architecture, and endpoint security, all while ensuring the protection of critical business applications and sensitive data.Your deep expertise in security principles and comprehensive understanding of the entire infrastructure stack will be invaluable in crafting robust security solutions that are future-ready. You will help enhance the resilience and integrity of our systems against the ever-evolving cyber threat landscape.This position is critical for shaping our security strategy across various modern platforms including AWS, Azure, GCP, and SaaS solutions. You will establish a strong least privilege (PoLP) model, provide specialized IAM expertise, and securely support SaaS with sensitive information. Additionally, you will contribute to our internal strategy for secure AI development.Collaboration with cross-functional teams is essential to embed security throughout the technology stack, ensuring that our internal strategies align with enterprise security standards.

About MAIAt MAI (pronounced “my”), we are dedicated to making advanced advertising technology accessible for all. Our mission is to provide small and mid-sized businesses with cutting-edge marketing tools that were once only available to large corporations. By utilizing AI agents, our platform automates and optimizes performance marketing, allowing businesses to increase their ad spend profitability without the need for agencies or extensive manual campaign management.Founded by industry veterans from Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to propel our growth. This investment will help us expand our product and engineering teams as we work towards realizing our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness, helping clients achieve 40% more sales while managing millions in monthly Google Ads spend. The demand for our services is rapidly growing, and we are excited to shape the future of growth marketing.Why Join Us?As part of our team, you won’t just be another employee; you’ll be a crucial player on a focused team with significant impact, helping to shape the future of our company. This is a unique opportunity for personal and professional growth, where you can leverage your expertise while embracing new challenges and learning from your colleagues.Your RoleTransform Data into Marketing Strategies: You will analyze extensive marketing datasets to understand the underlying reasons for performance metrics. Collaboration with our Machine Learning and Operations teams will be essential as you translate your analytical findings into innovative strategies for our AI agents to implement autonomously.Develop Our AI's Analytical Capabilities: You will play a vital role in shaping the intelligence of our analytics agent. This will involve context engineering—creating prompts, designing semantic data layers, building robust data pipelines, and establishing evaluation frameworks to ensure our agents deliver accurate and valuable insights to our clients.Establish a Data Foundation for AI Intelligence: You will manage the data that powers our agents, transforming complex, multi-platform data into a valuable resource. Your contributions will enhance our agents' capabilities by developing essential tools and signals such as user funnel models and lifetime value predictions.

Join LinkedIn as a Senior Staff Applied Scientist specializing in Infrastructure Data Science. In this pivotal role, you will leverage your expertise to drive innovation and enhance the efficiency of our infrastructure systems. You will collaborate with cross-functional teams, developing cutting-edge data solutions that significantly impact our global user base.Your responsibilities will include conducting advanced data analyses, modeling complex systems, and implementing machine learning algorithms to optimize performance. You will also mentor junior scientists and contribute to a vibrant research culture, ensuring that LinkedIn remains at the forefront of technology and data science.

Join Databricks, a leader in data analytics, as a Senior Financial Analyst within our General & Administration Financial Planning and Analysis (FP&A) Team. This pivotal role involves partnering with various departments to provide financial insights and guidance that drive investment decisions and fuel business growth.You will report to the Senior Finance Manager and be instrumental in enhancing forecast accuracy, refining corporate reporting, and collaborating with IT, People, and Legal teams. Your expertise will help ensure the organization meets its goals through data-driven financial modeling and analysis.Your Impact:Act as a primary finance partner to leaders in IT, People, and Legal, facilitating accurate forecasts.Take ownership of budget versus actual variance analysis and relevant reporting.Develop and maintain detailed financial models to assess functional costs and their cross-functional impacts.Collaborate with Accounting on accruals and assist in the month-end close process.Manage strategic projects and ad hoc requests to empower senior leaders in decision-making.Contribute to the company's long-range strategic planning initiatives.Lead initiatives for process and system improvements to support ongoing growth.

Please complete the attached Internal Transfer Request Form and submit.Ensure that you apply using your Coupang email address.This role is open to both Mountain View and Seattle locations.At Coupang, we are dedicated to astonishing our customers. When we hear our customers exclaim, “How did we ever live without Coupang?” we know we are on the right track. Fueled by a commitment to simplify shopping, dining, and living, we are revolutionizing the multi-billion-dollar e-commerce sector from the ground up. As one of the fastest-growing e-commerce companies, we are seeking passionate individuals to join our innovative team.

Databricks is seeking a skilled Senior Manager in Infrastructure Data Science to revolutionize our infrastructure through the power of data science. In this role, you will address intricate challenges associated with capacity planning, performance enhancement, reliability engineering, infrastructure optimization, and customer satisfaction. You will lead a talented team of data scientists and collaborate closely with engineering leaders to provide them with actionable, data-driven insights and solutions.At Databricks, our mission is to empower data teams to tackle the world's most pressing issues, from detecting security threats to advancing cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our clients to concentrate on the high-impact challenges that are vital to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, CA to a global powerhouse with over 7,000 employees. Numerous organizations, ranging from startups to Fortune 100 companies, depend on Databricks for their critical workloads, positioning us as one of the fastest-growing SaaS firms worldwide.Our engineering teams develop highly technical products that meet significant, real-world needs. We continuously push the limits of data and AI technology, all while maintaining the resilience, security, and scalability that are essential for ensuring our customers' success on our platform.

Join Databricks as a Senior Manager of Identity & Access Management (IAM)!At Databricks, we are on a mission to empower data teams to tackle the world's most challenging problems. As the Lakehouse company, we serve over 7,000 organizations globally, including industry leaders like Comcast, Condé Nast, and H&M. Our Lakehouse Platform uniquely combines data, analytics, and AI, enabling businesses to thrive in the digital age. Headquartered in San Francisco, our reach extends across the globe, driven by the original creators of Apache Spark™, Delta Lake, and MLflow. To learn more about us, visit www.databricks.com.About the RoleWe are seeking a visionary Senior Manager of Identity & Access Management (IAM) to spearhead our enterprise-wide identity, authentication, authorization, and access governance initiatives. This pivotal role entails defining the strategy, architecture, and execution of IAM capabilities that support our diverse stakeholders, including employees, customers, and global platform services. As our organization expands, IAM will become a cornerstone of our security framework and customer trust. You will ensure our identity systems are secure, user-friendly, scalable, and aligned with Zero Trust principles.This leadership position demands cross-functional collaboration with engineering, security, IT, compliance, and product teams to deliver reliable and secure identity services by default. Elevate your career with us and make a significant impact!

P-1126 Summary At Databricks, we are committed to empowering data teams to tackle some of the most complex challenges facing the world, from security threat detection to the development of innovative cancer treatments. We achieve this by developing and managing a state-of-the-art data and AI infrastructure platform, allowing our clients to concentrate on the high-impact issues that are critical to their goals. Our engineering teams craft advanced technical products that address significant and real-world needs. We consistently push the limits of data and AI technology while ensuring the resilience, security, and scalability that are essential for our customers' success on our platform. Clients entrust Databricks with their most sensitive data, and our Trust & Safety team is dedicated to creating the most secure data analytics and machine learning platform globally. The Security Engineering division plays a vital role in safeguarding customer data from malicious actors, and we are seeking visionary senior leaders to shape and define our strategy in this domain.

P-1124 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most challenging issues, from detecting security threats to advancing cancer drug development. We achieve this by developing and maintaining the leading data and AI infrastructure platform, allowing our clients to concentrate on the critical challenges that define their missions. Our engineering teams are dedicated to creating highly sophisticated products that address genuine, vital needs in society. We continually explore the frontiers of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success on our platform. Clients trust Databricks with their most valuable data, and the Trust & Safety team is committed to establishing the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role within Trust & Safety, crucially safeguarding customer data from malicious threats. We seek senior leaders to craft the vision and define the strategy for this crucial domain. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical gaps in our infrastructure and services. Attract top-tier talent from across the industry. Serve as a key advocate for the security engineering discipline throughout the organization, promoting a data-driven approach. Represent Databricks at academic and industry conferences and events.

About UsAt MAI, pronounced “my,” we are dedicated to revolutionizing advanced advertising technology. Our mission is to make cutting-edge marketing tools, once reserved for large corporations, accessible to businesses of all sizes. Through our innovative platform leveraging AI agents, we automate and enhance performance marketing, enabling small and mid-sized businesses to profitably scale their ad spend without relying on agencies or spending countless hours on manual campaign management.Founded by seasoned professionals from Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth. This investment will help us expand our product and engineering teams to realize our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales and managing millions in monthly Google Ads expenditures. We are experiencing a rapidly growing client waitlist.Why Join Us Now?As we venture into the uncharted territory of building infrastructure for autonomous, intelligent agents, you will not merely be writing code; you will be the architect of the environment where our AI agents thrive. You will have a significant impact across our entire stack—from the foundational data platforms that support our agents to the core frameworks that empower them to reason, and the scalable systems that deliver their intelligence to our customers. This is a unique opportunity to create a truly AI-native product and tackle challenges at the forefront of the industry.You will be a vital member of a small, focused team of fewer than ten engineers, with the opportunity to shape the future of our organization. We are in the early stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis role offers you the chance to grow your skills as these teams develop, encouraging you to leverage your specializations while exploring new projects and learning from your peers.

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most intricate challenges—from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to harness deep data insights to elevate their businesses. The Lakeflow Engineering team at Databricks oversees our comprehensive ETL product line, including innovative solutions like Materialized Views, Structured Streaming, and Delta Live Tables. We operate one of the largest data engineering platforms globally, processing exabytes of data daily for our extensive client base. We are in search of a committed technical leader to guide the Materialized Views engineering team. This team is tasked with creating next-generation Materialized View features that enhance both ETL workloads and query acceleration. In this role, you will engage in various areas to design and implement advanced systems that surpass current state-of-the-art: Incrementally maintaining materialized views Optimizing query performance Managing resources efficiently Developing effective storage structures Automating physical data optimization Your Impact: Address significant business needs at a large scale through your software engineering expertise. Deliver a robust, scalable, and fault-tolerant architecture for Materialized Views. Conduct low-level systems debugging, performance measurement, and optimization on large production clusters. Shape architecture design, influence product roadmaps, and assume ownership of new projects. Introduce tools that enhance automation and operational efficiency of services. Utilize your extensive experience to help preempt and resolve production issues. Plan and lead complex technical projects collaborating with multiple teams across the organization.

P-1126 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most pressing challenges, ranging from security threat detection to groundbreaking cancer drug development. Our mission is to create and maintain the premier data and AI infrastructure platform that enables our customers to concentrate on high-value tasks central to their objectives. Our engineering teams are dedicated to developing innovative products that address significant real-world needs. We continually strive to advance the frontiers of data and AI technology while ensuring our operations are resilient, secure, and scalable to guarantee our customers' success on our platform. Customers place their trust in Databricks with their most critical data, and the Trust & Safety department's mission is to establish the most reliable data analytics and machine learning platform globally. Our Security Engineering team plays a pivotal role in safeguarding customer data from malicious threats. We seek seasoned leaders like you to craft the vision and strategy for this vital domain.

Join LinkedIn as a Fellow in Software Engineering, specializing in Infrastructure. In this role, you will collaborate with a team of experienced engineers to develop scalable and robust systems that support millions of users globally. You will be at the forefront of technical innovation, working on projects that impact the future of our platform.As a Fellow, you will have the opportunity to mentor junior engineers, drive architectural decisions, and influence the design of our infrastructure. Your expertise will be crucial in optimizing performance and ensuring reliability in our systems.