Engineering Manager, Data Platform

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 We are revolutionizing the identity verification landscape in the United States by replacing outdated and costly methods with solutions that are ten times faster, more intelligent, and remarkably accurate.Our rapid growth is a testament to our success, with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

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!

Join Figma, a leading collaborative design platform, as a Data Platform Engineer where you will play a pivotal role in enhancing our data infrastructure and analytics capabilities. You will work alongside a talented team to design, build, and maintain scalable data systems that empower our users and drive business insights.

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 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.

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.

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.

Jordan Park Group is a premier investment management firm dedicated to providing tailored financial advice to a unique clientele of individuals, families, and institutions. Our clients are distinguished leaders in business, philanthropy, government, and society. Our diverse team embodies empathy and expertise, tackling complexity and challenges to empower clients in achieving their financial aspirations.Our mission is to enhance lives and legacies through strategic financial management.Associate Software Engineer - Data PlatformSan Francisco, CaliforniaYour OpportunityWe are looking for a motivated Technology & Data Engineering Associate to elevate our data platform and enhance data quality initiatives. This role sits at the dynamic intersection of data engineering, analytics, data quality management, and AI integration.The Associate will be responsible for designing, building, and maintaining production-grade data systems, collaborating closely with executives, investment teams, operations, and client services to achieve significant business outcomes. This is a hands-on technical position that offers substantial ownership and visibility within the organization.Your RoleData PlatformDesign, build, and maintain robust SQL data pipelines (e.g., dbt + Snowflake + Python)Develop and manage orchestration workflows (Airflow or equivalent)Create data ingestion processes and API integrationsMonitor pipeline reliability and performance; proactively resolve issuesData Quality & ControlsDevelop deep expertise in the firm’s data, systems, and processesDesign reconciliation frameworks across systems and automate data validation and exception reportingPerform detailed variance analysis and root cause investigationsCollaborate with operations and finance teams to ensure reporting accuracyAnalytics & Business IntelligenceArchitect and maintain Tableau dashboards utilized across the firmTrain and support internal stakeholders on self-service analyticsPython Development & AutomationDevelop Python-based tools for API integrations, data transformations, and ad-hoc analysis

About UsAt Sierra, we are pioneering a transformative platform designed to empower businesses to cultivate enhanced, more human-centric customer experiences through the power of AI. Headquartered in San Francisco, we proudly maintain a collaborative in-person culture, with expanding offices in Atlanta, New York, London, France, Singapore, and Japan.Our operations are rooted in a set of core values that shape our culture and guide our actions: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles form the bedrock of our endeavors, and we are unwavering in our commitment to embody them in every aspect of our work.Our co-founders, Bret Taylor and Clay Bavor, bring a wealth of experience to Sierra. Bret, who serves as Board Chair of OpenAI, has previously held leadership roles as co-CEO of Salesforce and CTO of Facebook, while Clay boasts an 18-year tenure at Google, where he led innovative projects including Google Lens and Project Starline.Your RoleAs a key member of our dynamic full-stack data team, you will play a pivotal role in enhancing the intelligence of our AI agents with each interaction. You will be instrumental in developing real-time data pipelines, analytics tools, and deep personalization frameworks that convert millions of conversations into actionable business insights. Your responsibilities will encompass:Data Foundations: Design and construct our foundational platform capable of efficiently managing data at scale with minimal latency. This includes developing our real-time eventing infrastructure, streaming and batch ETL pipelines, and an Iceberg-based data lakehouse. You will take ownership of interactive OLAP querying systems, orchestration processes, and experimentation frameworks, ensuring our data remains reliable, rapid, and user-friendly across the organization.Memory & Personalization: Drive the evolution of intelligent experiences by building systems for long-term agent memory, crafting reusable Customer Data Platform (CDP) components, and implementing optimization loops that enable our agents to tailor interactions, significantly enhancing business outcomes.What We’re Looking ForWe are eager to connect with candidates who possess substantial expertise in one or more of the following areas:Platform EngineeringDemonstrated experience in designing and developing scalable data architectures.

In an era where software is increasingly integrated with artificial intelligence, Scale AI stands at the forefront of this transformation. Our mission is to revolutionize how individuals interact with AI, enhancing human capabilities and redefining productivity. Our groundbreaking products, including the Generative AI Data Engine and SGP, empower leading enterprises and organizations to harness the power of AI through large language models (LLMs) at an unprecedented scale.As part of our innovative Platform Engineering team, you will play a pivotal role in designing and developing robust data storage, streaming, caching, and indexing systems that are essential for our AI solutions. This position offers a unique opportunity to engage with cutting-edge technologies and contribute to the evolution of AI in various sectors, including enterprise, government, and technology.

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!

Join Hilbert, a pioneering scalable data science platform driving growth for B2C teams with predictive insights into user behavior and revenue sources. Our innovative technology condenses decision-making timelines from months to mere minutes.Trusted by Fortune 10 companies and cherished brands like FreshDirect, Blank Street, and Levain Bakery, Hilbert empowers operators to enhance their growth strategies. We are also collaborating with leading AI firms to co-develop advanced solutions.We seek an innovative Head of Engineering to spearhead our technical division. You will manage two key departments: Data Engineering and Software/Platform Engineering, growing a team of 15-20 exceptional engineers by the end of the year. This is not a maintenance position; you will cultivate a high-performance system capable of handling 40+ simultaneous mid-market integrations while deploying tailored enterprise-grade AI environments.While you won't be writing all the pull requests, your expertise must shine during high-stakes enterprise architecture discussions, positioning you as the technological ambassador for Hilbert to our major clients.

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.

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

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

Join our team as a Senior Software Engineer focused on our Data Platform at Gusto. In this role, you will leverage your expertise in designing and building scalable data systems that drive business decisions and enhance our platform's capabilities. Your contributions will directly impact our ability to deliver exceptional services to our customers.You will collaborate with cross-functional teams, ensuring that our data architecture is robust, efficient, and aligned with our business goals. If you are passionate about data engineering and are looking for a place to innovate and grow, we want to hear from you!