Engineering Manager of Managers, Data Platform

Senior Manager of Data Platforms & Autonomy Infrastructure San Francisco Bay Area — In Person About Zipline Zipline is pioneering an innovative instant logistics system, utilizing autonomous aircraft to deliver essential and everyday items to individuals precisely when and where they need them. Currently, Zipline boasts the world's largest autonomous delivery network, providing support to healthcare systems, governmental agencies, and commercial partners across various continents. As Zipline expands its operations from tens of thousands to millions of flights daily, the significance of data as core infrastructure cannot be overstated. The mechanisms that determine the data we gather, how we process it, and how teams utilize it directly influence safety, autonomy performance, system uptime, and operational costs. About the Role We are seeking a Senior Manager of Data Platforms & Autonomy Infrastructure to spearhead teams and systems that transform real-world flight data into actionable insights and learning experiences. This pivotal role is responsible for the comprehensive data platform for autonomy and operations, overseeing everything from onboard data logging and ingestion to post-processing, sampling, and the creation of curated datasets utilized by autonomy, hardware, operations, and business teams. The ideal candidate will establish technical direction, build and guide the organization, and ensure the reliability of these systems to accommodate 1 million flights daily with exceptional uptime. This position is particularly suited for leaders who have experience in developing large-scale robotics or autonomy data systems in production environments. This is an in-person position based in the San Francisco Bay Area. Key Responsibilities Set Technical Direction Develop a long-term strategy and roadmap for Zipline’s data, autonomy, and machine learning infrastructure. Establish architectural standards across logging, data ingestion, processing, storage, access/visualization, and machine learning training and evaluation. Balance reliability, performance, cost, and developer productivity across the platform. Support a diverse range of internal stakeholders, including hardware teams, autonomy/software teams, and analytics/business teams. Facilitate Debugging, Learning, and Scalability Enable swift root-cause analysis across autonomy, hardware, and operations.

About Sigma Computing Sigma Computing builds AI-powered apps and analytics tools that connect directly to cloud data warehouses. Teams use Sigma to create applications, automate workflows, and analyze live data through a spreadsheet interface, SQL and Python editors, visual builders, and integrated AI features. The platform supports everything from interactive analyses to reports and embedded data experiences. Role Overview: Senior Product Manager - Platform Performance & Infrastructure Sigma is growing to serve larger enterprises with demanding, complex workloads. The Senior Product Manager for Platform Performance & Infrastructure will guide the development of core backend systems that keep Sigma responsive and reliable as usage scales. This role focuses on driving improvements in: Workbook performance Query lifecycle management Compute and caching strategies Metadata services Compiler components New warehouse connectors These systems are essential for Sigma’s ability to deliver consistent, high-quality performance to enterprise customers. What You Will Do Define and prioritize product enhancements for backend platform performance and scalability Work closely with platform engineering and cross-functional teams to address technical challenges Translate performance and scalability needs into clear product requirements and measurable objectives Ensure Sigma’s infrastructure can support enterprise clients with reliability and speed Who We’re Looking For Experienced Senior Product Manager with strong technical background Comfortable working hands-on with backend systems and infrastructure Skilled at collaborating with engineering and cross-functional partners Focused on delivering measurable improvements for customers Location & On-Site Requirement This position is based in San Francisco, CA. It requires working on-site at the Sigma office at least four days per week.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from transforming transportation innovation to fast-tracking medical advancements. Our mission is to create and maintain the premier data and AI infrastructure platform that enables our clients to harness deep data insights for business enhancement. Founded by engineers with a customer-first mindset, we embrace every challenge, whether it's 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 seeking a strategic, customer-centric, and results-driven Senior Product Manager for our Compute Platform. This platform is essential for powering Databricks workloads, offering various compute options for diverse tasks — including Classic Compute, SQL Warehouses, and Serverless Compute. It plays a critical role in many of our products and features.This position will involve extensive collaboration across teams and requires a robust technical background. You will coordinate product initiatives from conception through execution, engage with large enterprise clients to gauge their requirements, develop long-term product strategies, define product roadmaps, collaborate with engineering to create these products, and interact with various internal stakeholders (both pre- and post-launch) to ensure the success of our offerings.

SentiLink is at the forefront of delivering groundbreaking identity verification and risk management solutions, enabling both institutions and individuals to engage in transactions with utmost assurance. We are revolutionizing the identity verification landscape in the United States by replacing outdated and costly methods with solutions that are ten times faster, more intelligent, and remarkably accurate.Our rapid growth is a testament to our success, with our real-time APIs having verified hundreds of millions of identities, starting with the financial services sector and swiftly branching out into diverse markets. SentiLink is proudly supported by esteemed investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our accomplishments have been recognized by notable media outlets including TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker. We are also honored to have been featured on the Forbes Fintech 50 list every year since 2023. In a historical milestone, we became the first company to launch the eCBSV and have provided testimony before the United States House of Representatives regarding the future of identity verification.SentiLink embraces various working styles, offering options that range from fully remote to in-office arrangements. As a digital-first organization, we foster robust collaboration across teams in the U.S. and India, with physical offices located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., as well as Gurugram (Delhi) and Bengaluru in India. If you are near one of our offices, we encourage you to join us in-person regularly. Certain roles are specifically designed to be hybrid or in-office; for instance, our engineering team in India predominantly operates from our Gurugram office.Role:We are seeking a skilled Engineering Manager to spearhead our Data Platform team, which is dedicated to building and scaling the data infrastructure that underpins SentiLink’s products and decision-making systems.This integral team is responsible for the pipelines, storage systems, and data services that empower all of our products, facilitate data analysis, and support business intelligence efforts. These systems are fundamental in detecting fraud, driving machine learning models, and delivering valuable insights to our customers.

Who We AreBaton is Ryder’s innovative product development division dedicated to leveraging cutting-edge technologies to transform the transportation and logistics landscape. Managing over $10 billion in freight, our technology has a significant impact across the U.S. economy.We are committed to creating and delivering software that not only meets but exceeds the needs of Ryder and its 50,000+ clients, which includes some of the most recognized brands globally. Our projects range from user-centric applications to the robust data platform that will drive the future of Ryder’s innovations.Baton’s mission: To enable a supply chain that operates on autopilot.Since Ryder’s acquisition of Baton in 2022, we have been operating with the agility of a startup while benefiting from the extensive reach of a Fortune 500 company. If you're passionate about tackling intricate challenges and making a real impact in the backbone of the American economy, you’ll thrive with us.Role: Software Engineer - InfrastructureDepartment: Data PlatformLocation: Hayes Valley, San Francisco, CA

Decagon seeks an Engineering Manager to lead its Platform Infrastructure team in San Francisco. This position shapes the technical foundation behind Decagon’s scalable applications, focusing on both performance and reliability. The role involves hands-on leadership and a commitment to building infrastructure that supports the company’s growth. Role overview This manager will oversee a group of engineers dedicated to platform infrastructure. The team’s work underpins the systems that allow Decagon’s products to scale smoothly and operate dependably. What you will do Guide and support engineers working on key infrastructure projects Direct the development and maintenance of systems that power Decagon’s applications Encourage solutions that boost platform performance and reliability

At Discord, we connect over 200 million users monthly for diverse experiences, with gaming being the predominant activity. Our platform supports more than 90% of our users in enjoying games, collectively logging 1.5 billion hours each month across various titles. As we shape the future of gaming, our mission is to enhance interactions before, during, and after gaming sessions.The Platform Infrastructure teams are pivotal in constructing and upholding the essential systems that energize Discord's core functionalities. We manage systems that process hundreds of thousands of requests per second and handle tens of billions of transactions daily, enabling seamless connections for millions of users. By developing foundational platform components, we empower internal developers to deploy new features swiftly and securely, ensuring Discord remains reliable, efficient, and scalable.As a Senior Software Engineer on our team, you will play a crucial role in continuously refining our codebase, processes, and infrastructure, directly impacting user interactions on Discord!

Databricks is seeking an experienced Senior Manager of Infrastructure Data Science to redefine our infrastructure landscape through innovative data science solutions. In this pivotal role, you will confront complex challenges encompassing capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and enhancing customer experience. You will lead a talented team of data scientists and collaborate closely with engineering leaders to provide actionable data-driven insights and solutions.At Databricks, our passion lies in empowering data teams to tackle the world's most pressing challenges, from cybersecurity threat detection to advancements in cancer treatment. We achieve this by developing and managing a cutting-edge data and AI infrastructure platform, enabling our customers to concentrate on the high-impact challenges central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly evolved from a small office in Berkeley, CA to a global powerhouse with over 7,000 employees. Thousands of organizations, from startups to Fortune 100 companies, rely on Databricks for their mission-critical workloads, making us one of the fastest-growing SaaS companies worldwide.Our engineering teams are dedicated to creating highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for customer success on our platform.

Join Discord, a platform that connects over 200 million users monthly, primarily through gaming. With over 90% of our users engaging in gaming activities, they spend a staggering 1.5 billion hours playing unique titles every month. Discord is pivotal in shaping the future of gaming, enabling seamless interactions before, during, and after gameplay.Every day, countless gamers gather on Discord to strategize, celebrate victories, and foster communities around their favorite games. Behind our voice channels and streaming sessions lies vast amounts of data, capturing the essence of gaming connections.We are in search of an enthusiastic Software Engineer eager to construct data infrastructure at an enormous scale, with a genuine passion for supporting gaming communities. You will play a crucial role in developing the next-generation Data Platform that drives insightful decisions on one of the most vibrant platforms globally.If you are a Software Engineer who thrives on discussing distributed systems, prioritizes user privacy, and seeks to make data-driven decisions that impact millions of gamers worldwide, we would love to hear from you.For more insights into Discord's Data Platform, check out our engineering blog, including how we built our modern data stack leveraging open-source tools!

About the RoleJoin the innovative team at Known as an Infrastructure and Platform Engineer, where you will take the lead in managing and enhancing our core infrastructure and platform systems. Your work will be crucial in powering AI-driven matching, voice, and scheduling functionalities. You will be responsible for everything from cloud infrastructure and data orchestration to performance monitoring and model deployment support, designing and scaling systems that ensure Known operates swiftly, reliably, and securely.In this pivotal role, you will collaborate closely with the founding team, comprising experts in AI/ML, product development, and design, to establish Known’s technical foundation. You will play a key role in shaping our architecture, engineering culture, and best practices right from the start. This position is perfect for a practical builder who thrives in early-stage environments and is passionate about taking projects from concept to production.

ABOUT ZIPLINEAre you ready to make a global impact? Zipline is on a groundbreaking mission to revolutionize the movement of goods. We strive to overcome the world's most pressing access challenges by developing, manufacturing, and operating the first instant delivery and logistics system that serves all individuals equally, no matter where they are. From facilitating Rwanda’s national blood delivery network and aiding Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, and enabling healthcare providers to deliver care directly to U.S. homes, we are reshaping logistics for businesses, governments, and consumers alike. Our technology may be complex, but our vision is straightforward: a teleportation service that delivers what you need exactly when you need it. Through our innovative solutions that incorporate robotics and autonomy, we are decarbonizing delivery, alleviating road congestion, and minimizing fossil fuel usage and air pollution, all while ensuring equitable access for billions and fostering a more robust global supply chain.Join Zipline and help us fulfill our commitment to creating a fairer and more resilient global supply chain for billions.

Okta is an independent identity provider focused on building secure, trusted infrastructure for both AI and human users. The Technology, Data, and Intelligence (TDI) team supports Okta’s global workforce by providing the technology and systems employees need to succeed. Role overview The Senior Director of Data Platform and Engineering leads a global group of data and analytics engineers. This leader maximizes the value of Okta’s data assets and reports to the VP of Data and Insights. The position requires a balance of deep technical expertise and the ability to engage in strategic business discussions. As a player-coach, the Senior Director builds and mentors the team, guides key initiatives, and maintains a strong data foundation. This role is central to Okta’s AI strategy. As AI becomes more integrated into Okta’s products and operations, the quality and governance of data are increasingly important. The Senior Director ensures that clean, trusted, and well-managed data supports all AI projects, shaping the platform for Okta’s ongoing growth. What you will do Lead and develop a high-performing team: Mentor, grow, and support a diverse group of data and analytics engineers. Foster a culture of excellence, collaboration, and continuous learning. Advance AI enablement: Work closely with AI Engineering teams to ensure data infrastructure and practices are ready for AI development and deployment. Define data governance standards, build quality training datasets, and develop scalable data pipelines for AI and machine learning models. Location Bellevue, Washington; Chicago, Illinois; San Francisco, California; Washington, DC

Join Our Mission to Empower Communities!At GoFundMe, we are the world’s leading platform dedicated to harnessing the power of community to help individuals support one another. Since our inception in 2010, we have facilitated the raising of over $40 billion for various causes, uniting both individuals and nonprofits in a safe and secure environment.We are on the lookout for a Senior Staff Data Platform Architect to become an integral part of our Data Platform team. In this critical role, you will lead the modernization of our existing data platform and architect a scalable data, reporting, and AI ecosystem that not only enhances our product offerings but also meets evolving business needs. Your vision will shape a robust, secure, and future-ready cloud-native data architecture. By establishing best practices, optimizing performance, and collaborating across teams, you will empower GoFundMe to leverage data as a strategic asset for insights, innovation, and sustainable growth.This position is based in the San Francisco Bay Area, with an in-office requirement of 3 times a week.

At Judgment Labs, we specialize in developing cutting-edge infrastructure for Agent Behavior Monitoring (ABM). Unlike conventional observability tools that merely track exceptions and latency, our ABM technology identifies behavioral anomalies, such as instruction drifts and context retrieval losses, in large-scale production settings.Our solutions are trusted by numerous teams working on autonomous agents to gain insights into system behavior post-deployment. Rather than simply reacting to incidents, our clients analyze patterns across conversations and workflows, correlate regressions with specific interaction types, and identify critical points of reliability failure. Recently, we secured over $30 million across two funding rounds from notable investors like Lightspeed, SV Angel, and Valor Equity Partners.The Role:We are seeking a Senior Data Infrastructure Engineer to architect and enhance the real-time data pipelines essential for robust agent behavior analysis at scale. This position plays a vital role in processing hundreds of thousands of traces per second, executing LLM-based scoring and clustering in near-real-time, and ensuring low-latency query performance, which allows teams to monitor agent behavior as it unfolds. Ideal candidates will have experience designing petabyte-scale data systems, optimizing OLAP database performance, and managing the full data lifecycle from ingestion to analytics.What You'll Do:Design and automate large-scale, high-performance streaming and batch data processing systems to support Judgment's behavioral analysis products.Collaborate closely with infrastructure and backend teams to enhance scalability, data governance, and operational efficiency.Promote best practices in software engineering for data infrastructure at scale.Uphold high standards for data quality and engineering: ensuring reliability, efficiency, documentation, testability, and maintainability.Craft data models for optimal storage and access, ensuring efficient data flows to meet critical product requirements.Enhance OLAP database performance through careful schema design, partitioning strategies, storage optimization, and access pattern analysis.

About Ditto Ditto builds technology for resilient, real-time data flow at the edge. The company’s peer-to-peer synchronization engine keeps devices connected and data consistent, even when internet access is unreliable or unavailable. Organizations like Chick-fil-A, Delta Airlines, and the U.S. military use Ditto to power mission-critical experiences in aviation, retail, travel, hospitality, and defense. With over $145 million in funding, Ditto is a fast-growing, globally distributed startup committed to building a diverse and inclusive team, essential for solving tough connectivity problems in challenging environments. Role Overview: Senior Software Engineer - Autonomy (Remote) This Senior Software Engineer role focuses on autonomy and field deployment. As a Forward Deployed Engineer, work directly with key users to integrate Ditto’s platform into operational environments, especially where robotics and real-time data are essential. The position calls for adaptable engineers who can quickly solve complex technical challenges and reduce the time it takes for customers to realize value from Ditto’s software. Expect to collaborate closely with both users and Ditto’s core product engineering team, relaying technical feedback and feature requests. The work often involves ambiguity, rapid troubleshooting, and direct involvement in field testing. Key Responsibilities Integrate with Robotic Platforms: Lead on-site software integration with unmanned ground, aerial, and maritime systems. Establish reliable data connections between Ditto’s synchronization layer and various robotic autonomy stacks. Develop on ROS2 and DDS Middleware: Design, build, and debug software nodes within ROS2 frameworks. Use DDS (Data Distribution Service) for real-time, publish-subscribe communication between robotic subsystems and Ditto’s platform. Implement MAVLink Integrations: Create and refine MAVLink-based communication channels for telemetry, command, and control of unmanned aerial systems. Ensure dependable data transfer between Ditto’s platform and autopilot firmware. Solve Problems in Real-Time: Act as the first line of technical support during field testing. Diagnose and resolve software, sensor, and communication issues on robotic platforms as they arise. Location Remote. Candidates in Atlanta, Austin, San Francisco, or Seattle are encouraged to apply.

At Plaid, we believe in the power of data-driven decision-making. Our data culture demands robust and scalable data systems that ensure accuracy and completeness. As a Senior Software Engineer focusing on Data Infrastructure, you will play a pivotal role in empowering teams across engineering, product, and business sectors to swiftly and securely extract valuable data insights. Your work will directly enhance our ability to serve customers effectively. You will be responsible for building and optimizing our data and machine learning infrastructure, allowing Plaid engineers to innovate and iterate on products built on consumer-permissioned financial data. Our Data Infrastructure engineers are experts in Data Warehousing, Data Lakehouse architecture, Spark, Workflow Orchestration, and Streaming technologies. You will enhance our existing data pipelines for performance and cost efficiency while creating intuitive abstractions that simplify the development process for other engineers at Plaid.

Join DoorDash Labs, a pioneering team dedicated to revolutionizing last-mile logistics through robotics and automation. As a Product Manager, you will play a key role in bringing cutting-edge autonomous drones and advanced automation products to market. This position involves collaborating with engineering, design, and operations to create innovative solutions that meet real-world challenges. You'll define product strategy, lead cross-functional teams, and develop essential tools and workflows that facilitate autonomous operations. If you're passionate about transforming logistics with technology and driving impactful product initiatives, we want to hear from you!

Join Our Team as an Infrastructure & Platform EngineerWe are seeking a talented Infrastructure & Platform Engineer to join our dynamic team at mlabs in San Francisco. As a rapidly growing technology company, we are at the cutting edge of the crypto derivatives market, an industry that generates tens of billions in annual revenue. Our exchange is one of the fastest-growing platforms for crypto derivatives, and we are committed to enhancing our offerings to meet the evolving needs of our users.Your mission will be to develop the next critical feature: Multi-Asset Margin, which will streamline how users post collateral directly on-chain, thus improving trading efficiency. You will work alongside our Infrastructure & Platform team, focusing on designing and managing our high-performance systems that deliver exceptional speed and reliability.Key Responsibilities:Design and implement robust scripts and services that ensure optimal performance in real-time environments.Manage and deploy computing resources and containers for tailored services and integrations.Automate scaling, load balancing, and congestion control for both compute and database layers.Establish and maintain CI/CD pipelines for streamlined deployments and continuous delivery.Monitor and optimize system performance across multiple metrics to enhance throughput and resilience.Develop and maintain indexing and explorer services for fast, real-time data access.Provision and optimize diverse database systems, including time-series, relational, key-value, and in-memory databases.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging issues, from realizing the next generation of transportation to expediting medical advancements. Our mission involves constructing and managing the premier data and AI infrastructure platform, enabling our clients to leverage profound data insights to enhance their operations. The Workspace Platform team is embarking on an ambitious journey to scale our customer base by 100x and support the evolution of agentic AI workloads. Our objective is to create a unified, consistent, and foundational Shared Platform that enhances the overall Databricks Workspace experience. As a Senior Engineering Manager within the Workspace Platform team, you will spearhead the development of a cohesive infrastructure that underpins vital customer-facing functionalities across various Databricks products. These include Content Discovery (similar to Google Search), Content Organization (akin to Google Drive), collaborative code editing, and repository management (comparable to GitHub). This is a high-impact opportunity to lead a team of approximately 20 software engineers in developing platform features, intuitive workspace experiences, and essential partner integrations that are pivotal to Databricks' growth and user adoption.