Data Platform Engineer

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 We are revolutionizing the identity verification landscape in the United States by replacing outdated and costly methods with solutions that are ten times faster, more intelligent, and remarkably accurate.Our rapid growth is a testament to our success, with our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.

Join Stripe as the Engineering Manager of Managers for our Data Platform team, where you will lead a group of talented engineering managers and drive the development of our data infrastructure. Your leadership will foster innovation and collaboration, helping to build scalable data solutions that empower our customers.In this role, you will collaborate closely with cross-functional teams, ensuring that our data platform meets the evolving needs of our business. You will mentor and guide your team, instilling a culture of excellence and continuous improvement.

At Discord, we connect over 200 million users each month, primarily through the exciting world of gaming. Over 90% of our community engages in gaming, collectively spending an astounding 1.5 billion hours playing diverse titles on our platform every month. Discord is not just a chat app; it's a pivotal social hub shaping the future of gaming.Every day, countless gamers unite on Discord to strategize, celebrate victories, and foster communities around their favorite games. Our platform is driven by a wealth of data—petabytes of it—revealing how players connect through shared experiences.We are on the hunt for an Engineering Manager who is passionate about nurturing top-tier teams and building scalable data infrastructure. If you are dedicated to serving our communities and eager to mentor engineers committed to creating user-friendly products, we want to hear from you. You'll spearhead a team that develops the next-generation Data Platform, influencing decisions on one of the world's most dynamic platforms.As a leader who thrives on coaching engineers and making impactful technical decisions, your team's contributions will resonate globally. Join us and make a difference!Curious about our Data Platform? Check out our engineering blog, which details how we constructed our modern data stack with open-source tools!

Join us in building the data infrastructure that empowers robots to operate seamlessly in the real world.The field of robotics is rapidly transitioning from research to real-world applications across factories, warehouses, vehicles, and outdoor environments. When robots encounter failures, exhibit unexpected behaviors, or require enhancements, engineers depend on data to uncover the underlying issues.At Foxglove, we are at the forefront of developing observability, visualization, and data infrastructure that enables this critical analysis. Our innovative tools are utilized by robotics and autonomous systems teams to effectively ingest, store, query, replay, and analyze vast amounts of multimodal sensor data from active systems and production fleets.Recognizing that data is crucial for physical AI, we seek to enhance our Data Platform, transforming it from a passive data lake into a dynamic engine for dataset creation, discovery, and automated evaluation.In this pivotal role, you will steer Foxglove's largest investment area for 2026, taking charge of evolving the Data Platform into a standalone, high-velocity product line. Your focus will extend beyond mere storage, aiming to establish sophisticated workflows that encompass all phases of research, development, and operations.Key ResponsibilitiesDevelop and own the Data Strategy & Roadmap: Define the platform's evolution to capitalize on opportunities in data management, discovery, curation, and evaluation.Drive Technical Innovation: Collaborate with our Search and Curation engineering teams to create advanced data layers tailored to the intricate demands of real-world operations.Enhance Product-Market Fit: Shift the product from being merely a visualization tool to a core value proposition for Foxglove. Lead design partnerships with key customers to develop and validate new functionalities before they are widely released.Commercialize Consumption: Partner with GTM to refine and execute a product-led growth strategy that aligns with customer value creation and integrates into Enterprise sales.Establish Seamless Integration: Ensure a smooth connection between the Data Platform and our Visualization and Fleet products, generating a

At Drivetrain, we are dedicated to empowering businesses with the insights they need to make informed decisions. Our advanced financial planning and decision-making platform equips organizations to scale effectively and reach their goals with confidence.As a remote-first company based in the vibrant San Francisco Bay Area, Drivetrain was founded in 2021 by a team of former Googlers. We are rapidly growing and backed by top-tier venture capital firms, setting us on a path to success. Culture of Trust: We bring together talented individuals from around the world, offering them the freedom and autonomy to excel in their roles. We believe in our people. Transparent Communication: Our philosophy is that open access to information fosters creativity and innovation among our teams. Innovation Encouraged: We cultivate an environment where new ideas can flourish, allowing our employees to take risks and learn from their experiences. Every voice is valued, and the best ideas will prevail. Customer-Driven Approach: Our product-led growth strategy hinges on continuous learning from our customers, collaborating to develop exceptional software solutions at Drivetrain.

Join Chime as an Engineering Manager for our Data Platform team, where you will lead a talented group of engineers in building innovative data solutions. Your leadership will drive the development of scalable and reliable data infrastructure that supports our mission to help our members achieve financial peace of mind. If you have a passion for data and a track record of delivering impactful projects, we want to hear from you!

ditto is hiring an Engineering Manager to lead the Platform team. This remote role is available to candidates based in Atlanta, Austin, San Francisco, or Seattle. The Platform team focuses on building and integrating solutions that support both user experience and the company’s operational needs. Role overview The Engineering Manager will oversee a group of engineers dedicated to platform systems. This position involves guiding the team’s technical direction and ensuring that platform solutions are both scalable and reliable. What you will do Lead and mentor engineers working on platform systems Guide the development of scalable, reliable solutions Work closely with cross-functional teams to align on project goals and deliverables Encourage continuous improvement and technical excellence within the team Ensure platform integrations operate smoothly and support business objectives Requirements Experience managing engineering teams Strong background in building scalable systems Skilled in project management and working across teams Comfortable working remotely and leading distributed teams Proven commitment to team growth and maintaining high standards

About AbridgeFounded in 2018, Abridge is on a mission to revolutionize healthcare understanding through our innovative AI-powered platform. Designed specifically for medical conversations, we enhance clinical documentation efficiency, allowing healthcare professionals to concentrate on what truly matters—their patients.Our cutting-edge technology converts patient-clinician discussions into structured clinical notes in real-time, featuring deep integrations with electronic medical records (EMR). With our unique Linked Evidence and auditable AI, we stand apart as the only company that aligns AI-generated summaries with verified ground truth, ensuring providers can trust and validate our outputs. As trailblazers in generative AI within the healthcare sector, we are setting new benchmarks for the responsible use of AI across health systems.Our dynamic team comprises practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers, all collaborating to empower individuals and enhance the healthcare experience. We have offices in San Francisco’s Mission District, New York’s SoHo neighborhood, and East Liberty in Pittsburgh.The RoleWe are seeking a Staff Product Manager, Data Platform to take charge of our data platform as a product and to establish a comprehensive long-term data strategy across our organization. This pivotal role exists at the crossroads of product management, engineering, machine learning, and data, and entails complete responsibility for the ingestion, storage, querying, and usability of data across various domains.Your responsibilities will extend beyond merely constructing a robust data platform. You must grasp how data serves as a strategic lever in healthcare, directly enhancing clinical workflows, improving customer outcomes, and bolstering machine learning capabilities. Success in this position requires a profound empathy for healthcare use cases and the ability to correlate platform choices with tangible product and customer results.This is a senior, hands-on product management position that requires a strategic thinker who remains closely involved with technical execution. You'll need to balance the pace of rapid experimentation and developer efficiency with the reliability, performance, and scalability integral to a foundational data platform.The data platform is fundamental to nearly every product we develop. In this capacity, you will influence how data is processed throughout the organization, facilitating accelerated innovation while upholding the trust, quality, and compliance standards necessary for healthcare-grade systems. Your decisions will significantly impact product velocity, data quality, and Abridge’s capacity to introduce new product functionalities.

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) stands as the premier online personal styling service, dedicated to helping individuals uncover styles that they will adore and that flatter their unique figures. We understand that few experiences are as personal as getting dressed, yet finding clothing that fits well and looks great can be daunting. Stitch Fix addresses this challenge by merging the expertise of skilled stylists with cutting-edge AI and recommendation algorithms. Our unique blend of exclusive and nationally recognized brands caters to each client's distinct preferences and requirements, allowing them to express their personal style effortlessly without spending hours in stores or browsing through countless online options. Founded in 2011 and headquartered in San Francisco, we are transforming the retail landscape.About the RoleWe are seeking a dynamic Manager of Data & AI Platform Engineering to spearhead our team of engineers focused on core data, machine learning, and generative AI platforms. You will play a crucial role in realizing our vision and driving the technical implementation of systems that facilitate AI-driven, data-centric experiences throughout the organization. This will empower richer personalization, enhanced decision-making, intelligent automation, and innovation across the enterprise.You will help refine our technical infrastructure to support next-generation AI applications, including unified signals, adaptive and context-aware models, semantic understanding, retrieval-based intelligence, and advanced machine learning workflows.

Rocket Money supports millions of people in making smarter financial decisions. The platform provides members with clear financial insights and tools designed to save both time and money. Team focus The Data Platform team builds and maintains the core systems behind Rocket Money’s data-driven products. This group develops and supports infrastructure for collecting, processing, and delivering data to teams across analytics, machine learning, and software engineering. Engineers here work closely with other groups to ensure accurate data capture, resilient pipelines, and reliable self-service access for stakeholders. As the team grows, there is a shift toward formalizing standards and practices that will scale. Current tools include dbt, BigQuery, and Terraform, but the emphasis is on shaping architecture and defining how Rocket Money manages data for the future. Autonomy is high, but collaboration remains central as the platform evolves. What you will do Own the data platform infrastructure from end to end, focusing on security, usability, and performance. Collaborate with analytics, machine learning, and software engineering teams to support their data needs. Help guide decisions on data tooling, pipeline design, and governance. Create user-friendly interfaces that promote best practices across the team. Work proactively to improve data reliability by identifying and addressing issues at their source. Who succeeds here This role suits engineers who bring structure to ambiguity, balance stakeholder needs, and manage technical debt. The team values those who make informed choices, take ownership, and contribute to a collaborative environment. Locations Open to candidates in San Francisco, CA; Washington, D.C.; New York City, NY; Detroit, MI; Phoenix, AZ; Miami, FL; and Denver, CO.

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!

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

Embrace the Future of Commerce with Whatnot!Whatnot is the premier live shopping platform across North America and Europe, where users can buy, sell, and uncover treasures they adore. We’re revolutionizing e-commerce by merging community, shopping, and entertainment into one immersive experience tailored for you. As part of a remote co-located team, our drive for innovation is grounded in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we’re collaboratively shaping the future of online marketplaces.From fashion and beauty to electronics and unique collectibles like trading cards and comic books, our live auctions cater to diverse interests.And we’re just getting started! As one of the fastest-growing marketplaces, we seek bold, forward-thinking problem solvers across all areas. Stay updated on Whatnot’s latest developments through our news and engineering blogs as we empower everyone to transform their passions into successful businesses and forge connections through commerce. Role OverviewAs a senior leader within our Infrastructure team, you will be instrumental in advancing Whatnot’s platform. You will lead the Platform Engineering team, collaborating with engineering, product, and operational teams to develop scalable, dependable, and high-performance systems that cater to millions of users as we continue to expand.Key Responsibilities:Guide and mentor a talented team of engineers through complex technical challenges, fostering their personal and professional growth.Create and execute strategic roadmaps for platform engineering that align with company goals, ensuring scalability and enhancing developer velocity.Prioritize enabling engineers to work efficiently and swiftly, utilizing our platform services effectively.Work collaboratively with cross-functional teams to shape product decisions, ensuring engineering solutions meet both business and technical requirements.Promote best practices in software engineering focused on minimizing technical debt, enhancing code quality, and continually evolving engineering practices.

Join Hilbert, a pioneering data science-driven growth engine that empowers B2C teams with predictive insights into user behaviors, revenue streams, and sustainable growth strategies. Our innovative platform reduces decision-making cycles from months to mere minutes.Serving a range of clients from Fortune 10 companies to cherished brands such as FreshDirect, Blank Street, and Levain Bakery, our platform is the backbone of their growth strategies. We are also collaborating with leading AI firms to enhance our capabilities.We are on the lookout for a Core Data Engineer to lay the groundwork for our integration team, enabling them to operate at 10x their current speed. While others may focus on connecting systems, your mission is to ensure the integrity and flow of our data refinery. You will manage our 'shared brain', optimize ClickHouse clusters, and develop monitoring systems that proactively identify pipeline issues before they impact our customers.ROLE OVERVIEWEfficiency Expert: You thrive on minimizing query times and memory usage, always considering scalability and reliability.Dagster Enthusiast: You bring experience or a strong desire to excel in Dagster for intricate orchestration.OLAP Specialist: You possess a deep understanding of ClickHouse (or similar platforms like Druid/Pinot) and know how to structure data for optimal analytical performance.Software Development Advocate: You treat data code with the same rigor as production software. CI/CD, unit testing, and modular code are non-negotiable for you.Global Collaboration: You can coordinate with our global team, providing at least 5 hours of overlap.WHO EXCELS IN THIS ROLEYou will optimize the performance of our ClickHouse implementation.You will devise configuration schemas that facilitate controlled data ingestion pipelines.You will build and sustain shared Python libraries for data synchronization across the engineering team.You will enhance our canonical data models to balance scalability with performance.You will architect our monitoring, alerting, and observability systems to ensure high confidence in our data integrity.You will design new integration pipelines by exploring novel data sources and sync mechanisms.

About Quizlet:At Quizlet, we are dedicated to empowering learners to achieve their educational goals in the most effective and enjoyable manner. With our learning platform valued at over $1 billion, we cater to millions of students monthly, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions each month.By integrating cognitive science with cutting-edge machine learning techniques, we personalize and enhance the learning experience for students, professionals, and lifelong learners. Our enthusiasm lies in the potential to support more learners through diverse approaches and tools.Join Us in Shaping the Future of EducationBecome a part of our mission to design and deliver AI-driven learning solutions that extend globally and unlock human potential.About the Team:The AI & Data Platform team is committed to building and maintaining a robust, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the cornerstone of our AI aspirations. As we streamline our AI initiatives to create an integrated and powerful product suite, the platform team’s main focus is on operational excellence. We actively adopt and utilize top-tier MLOps and DataOps technologies to hasten innovation across Quizlet.About the Role:As a Staff AI & Data Platform Engineer, you will spearhead the design and development of Quizlet’s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and geared for long-term success. You will collaborate closely with cross-functional teams to establish technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product.This position demands profound technical expertise, strategic insight, and the ability to deliver systems that enhance ML and data innovation at scale. You will gauge success through platform adoption, improvements in reliability, and outcomes related to developer productivity.We are pleased to inform you that this is an onsite position at our San Francisco office. To promote team collaboration, we ask employees to be present in the office at least three days a week: Monday, Wednesday, and Thursday, as well as as required by your manager or the company. We believe that this work environment enhances efficiency, fosters teamwork, and supports both personal and organizational growth.

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 the TeamJoin OpenAI’s Forward Deployed Engineering (FDE) team, where innovation meets real-world application. Our organization operates at the crucial intersection of product development, engineering, research, and market strategy. We collaborate with design partners to transform raw customer insights into tangible software solutions, standardized processes, and robust products.The FDE Platform team plays a pivotal role in amplifying the impact of the FDE organization on OpenAI’s overall platform and product offerings. We offer hands-on support by integrating with customer-focused FDE pods to assist in architecture, product design, refactoring, and development. This role is ideal for collaborative software engineers passionate about creating cutting-edge products alongside fellow innovators.About the RoleAs the Engineering Manager for Platform FDE, you will lead a dedicated team that enhances the broader FDE organization’s capabilities. Your primary objective will be to accelerate the transformation of client-driven ideas into sustainable, scalable platform solutions by providing essential product and engineering support to customer-focused pods.You will work closely with customer-oriented FDE teams that focus on delivery and client outcomes, embedding Platform FDE resources where they can make the most significant impact. This involves direct participation in architectural design, product refinement, modular development, and establishing reusable abstractions, all while maintaining the pods' ownership of customer insights and daily operations. Additionally, you will collaborate with our B2B Platform Team and other key stakeholders to ensure alignment on what should be generalized, what should remain tailored to specific clients, and defining the criteria for a successful handoff.This position demands a blend of engineering leadership and strong product-oriented decision-making. You will manage a focused portfolio of platform development initiatives with clear hypotheses, success metrics, and measurable adoption goals. You will be accountable for converting deployment signals into reusable capabilities that can be seamlessly transitioned to long-term stakeholders. Your leadership will involve influencing multiple stakeholders, maintaining high technical standards, and establishing clear accountability between your team, client pods, and partner organizations.This role is primarily based in San Francisco or New York City and follows a hybrid work model requiring three days in the office per week. We provide relocation assistance, and while travel is project-based and typically low (

Join Mixpanel as a Senior Engineering Manager for our Product Platform team, where you will lead a talented group of engineers in the design and development of innovative solutions that enhance user experience and drive business growth. You will be instrumental in shaping the future of our product offerings while fostering a collaborative and inclusive team culture.

Your Impact at Lila Lila Sciences is on the lookout for a dynamic and seasoned engineering leader to spearhead our product data platform team. You will take full ownership of the data platform and its underlying infrastructure — encompassing architecture, delivery, reliability, and the user experience for developers and data scientists. Our mission is to unleash Scientific Super Intelligence by providing a dependable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction. This empowers AI/ML, product teams, and scientists to efficiently create data-driven applications with speed and confidence. Our platform is designed to handle analytical and machine learning workloads across Lila, facilitating autonomous DBTL cycles, instrument data pipelines, and AI inference workflows. As the Director, you will build and lead a team of skilled engineers, drive technical strategy, and ensure the scalability and performance of our data management and serving capabilities. You will collaborate closely with data scientists, data engineers, lab scientists, and product teams to gather insights into their needs and deliver innovative solutions that harness cutting-edge data processing technologies. What You'll Be Building Team Leadership: Develop, mentor, and oversee a high-performing team of 8-12 data engineering experts. Assess and implement modern data infrastructure - incorporating real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house architecture, and cloud-native object storage. Cultivate a collaborative, innovative culture focused on continuous improvement. Provide technical mentorship to team members, supporting their professional development; conduct performance reviews, offer feedback, and identify training opportunities. Manage team workloads, prioritize projects, and ensure the timely delivery of high-quality solutions. Technical Strategy and Execution: Define and implement the technical roadmap for our data platform, aligning with Lila’s overarching data strategy. Foster innovation within the data Lakehouse and data serving ecosystem by exploring new technologies and methodologies to enhance usability, performance, scalability, and efficiency. Ensure the reliability, availability, and security of our data processing infrastructure. Collaborate with other engineering teams to integrate our data processing technologies with additional Lila systems and services. Stakeholder Management: Collaborate with data scientists, data engineers, lab scientists, product managers, and other stakeholders to understand their data processing needs and requirements. Effectively communicate technical concepts and solutions to both technical and non-technical audiences. Advocate for best practices in data processing and engineering.