Engineering Manager, Data Platform

Role Overview trueml is hiring an Engineering Manager for the Data Platform team. This is a fully remote position open to candidates based in the USA. What You Will Do Lead and mentor a team of data engineers Guide the development and improvement of data systems Oversee data architecture and performance optimization Drive strategic projects for the data platform Work closely with other teams to deliver strong data solutions About the Team The Data Platform team at trueml builds and maintains systems that support data-driven decisions across the company.

Join our dynamic team at Multimedia LLC as an Engineering Manager for our Data Platform. In this remote role, you will lead innovative projects that leverage cutting-edge technology to enhance our data infrastructure. You will collaborate with cross-functional teams to design scalable solutions that drive business success and improve data accessibility.Your leadership will foster a culture of continuous improvement, guiding your team in implementing best practices and ensuring high standards of quality in software development. We are looking for a visionary who is passionate about data engineering and is eager to make an impact in a fast-paced environment.

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 We are revolutionizing the identity verification landscape in the United States by replacing outdated and costly methods with solutions that are ten times faster, more intelligent, and remarkably accurate.Our rapid growth is a testament to our success, with our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 our innovative team at Caribou as an Engineering Manager focused on Data and Platform Engineering. In this pivotal role, you will lead a talented team of engineers, driving the development of robust data platforms and engineering solutions that propel our business forward. You will collaborate with cross-functional teams to ensure the successful delivery of high-quality products and services that meet the evolving needs of our customers.

Kraken is a remote-first company specializing in cryptocurrency and blockchain technology. With operations in more than 70 countries and a team fluent in over 50 languages, Kraken works to broaden access to digital assets and create more inclusive financial systems. Kraken’s products serve a wide range of users, from experienced traders and institutions to those new to crypto. The company places a strong emphasis on security, education, and responsive client support. Platforms include Kraken Pro, Desktop, Wallet, and Kraken Futures. For more on their approach, see details about security, education, and client support. Role overview The Data Platform Engineering Manager position is fully remote within the United States. This role leads engineering efforts that drive Kraken’s data platforms and infrastructure, joining a team focused on shaping the future of crypto technology. The manager will guide technical direction, foster innovation, and support the team’s growth as they build and maintain secure, scalable systems. Who thrives in this role Engineers who take pride in building secure and reliable systems Leaders who prioritize collaboration across diverse, global teams Individuals interested in tackling the challenges of scaling data platforms in a rapidly changing industry Learn more Explore Kraken’s values and team culture on the Kraken Culture page. For a step-by-step guide to getting started with the platform, visit the account creation instructions here.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI. Established in 2017 and now boasting a valuation of $15 billion, this Silicon Valley powerhouse is constructing the digital infrastructure necessary to infuse intelligence into every machine in motion worldwide. Our company serves a diverse array of sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three primary areas: tools and infrastructure, operating systems, and autonomy. Trust in our solutions is reflected by eighteen of the top twenty global automakers, alongside the United States military and its allies, to deliver physical intelligence. Headquartered in Sunnyvale, California, we have a presence in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.While we expect our employees to primarily work from their Applied Intuition office five days a week, we appreciate the value of flexibility and trust our team to manage their schedules responsibly. This can include occasional remote work, attending morning meetings from home, or adjusting hours to accommodate family commitments.About the RoleWe are seeking an Engineering Manager to lead our Data Platform team within the Data Engineering group. In this pivotal role, you will oversee a top-tier data engineering team responsible for managing the complete data lifecycle—from collection and ingestion to storage, querying, and retrieval—at a scale of hundreds of petabytes.Collaboration with various business units across Applied Intuition is key to defining the technical roadmap for our data platform, ensuring robust support for both external products and internal tools across cloud, hybrid, and on-premises deployments. This is a highly collaborative leadership position that demands deep technical expertise, exceptional people management abilities, and a strong sense of ownership. At Applied Intuition, engineering managers are expected to be engaged leaders who contribute actively to technical direction alongside people management.In this Role, You Will:Lead, develop, and mentor a team of data infrastructure engineers, nurturing a culture of technical excellence, ownership, and collaboration.Define and drive the technical strategy...

PrizePicks is looking for a Data Platform Engineer to join the team. This position centers on building and maintaining the company's core data infrastructure. Ensuring that data moves reliably and remains accessible throughout the organization is a key part of the job. Role overview Work involves supporting the systems that handle data flow and storage. The engineer will collaborate closely with colleagues from a range of disciplines to make sure data needs are met across different teams. Location The team prefers candidates based in Atlanta, GA, but remote applicants will also be considered.

Apptronik seeks a Data Platform Engineer to shape and enhance the data architecture supporting our robotics products. This role involves close collaboration with teams across the company to ensure our data systems are robust and effective. Key responsibilities Design and build data systems that power robotic technologies Collaborate with engineers and other groups to align data architecture with project requirements Improve data pipelines and infrastructure for better performance and reliability Work location This position is based in Austin, TX.

At Guild, we are dedicated to the belief that talent is universally distributed, and opportunities should be too. Headquartered in Denver, we have adopted a flexible work model that allows us to tap into the finest talent across the United States. While some positions may necessitate a presence near our Denver office, many others are available to individuals residing in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI, and Washington D.C. We encourage you to apply only if you can reside and work full-time in one of the states listed. Please note that state locations and specifics may evolve as our hiring needs change.If you are an Internal Candidate, please apply via our Internal Job Board.----To achieve our impact goals and thrive as a company, fostering a culture of high performance is essential. We recognize that managers are often the key drivers of employee satisfaction and growth, making our talent our most valuable asset. Therefore, we have established clear expectations for all people managers at Guild, ensuring you know what to expect from your experience with us.----Data and AI Platform Engineering ManagerRemoteIn the role of Data and AI Platform Engineering Manager, you will spearhead the teams responsible for developing Guild's Data platform and Apollo, our AI platform that powers agent-based workflows, machine learning infrastructure, and AI-native tools throughout the organization. This is a leadership-oriented position (70% coaching, 30% hands-on) overseeing two small teams: Data Platform Engineering and AI Platform. Your primary influence will stem from the teams you cultivate and the systems you establish to ensure reliable delivery, while collaborating closely with product management, data science, and platform engineering to align with Guild's strategic objective of becoming an AI-native company by FY27.The OpportunityBuild, nurture, and retain a high-performing engineering team across two platform squads, overseeing hiring, coaching, performance management, and career development.Facilitate the shift from ad-hoc AI application to platform-driven, governed AI processes, championing Guild's vision for AI-native engineering.Deliver a dependable, scalable, and secure data and AI platform that enhances time-to-value for teams across Guild.As Data and AI Platform Engineering Manager, you will:Manage, mentor, and develop engineers across the Data and AI teams, fostering a culture of innovation and excellence.

Join Worth AI, a trailblazer in the computer software sector, as a Data Platform Engineer. Our mission is to transform decision-making through cutting-edge artificial intelligence, fostering collaboration and adaptability to create a significant impact in the tech realm. At Worth AI, we emphasize extreme ownership, unity, and the creation of passionate advocates among both our employees and customers.In this role, you will be responsible for designing, building, and maintaining the core data services that drive our products and analytics. You will manage end-to-end data pipelines and API services that gather, process, and deliver high-quality data to internal teams (such as data science, analytics, and product engineering) and external partners.You will be part of a dynamic, high-impact team that treats our data platform as if it were a product, ensuring strong SLAs and providing reliable self-service capabilities for both internal and external users.

Role overview Trulioo seeks a Data Platform Engineer based in San Diego. This position centers on enhancing and maintaining the data infrastructure that powers global identity verification services. Key responsibilities Collaborate with teams throughout the company to design and implement scalable data solutions. Maintain and refine data processing pipelines, focusing on reliability and efficiency. Help uphold the quality and integrity of data relied on by various stakeholders. Impact Work in this role directly supports Trulioo's ability to deliver accurate, high-quality data for identity verification around the world.

Role overview Upstart Network, Inc. is hiring a Senior Data Platform Engineer to help build and refine the company’s data architecture. This fully remote position is open to candidates based in the United States. What you will do Work closely with teams across the company to design and improve data platform capabilities Develop solutions that support efficient data processing and analytics workflows Contribute to high-performance, scalable data infrastructure that supports business growth Support data-driven decision-making by ensuring reliable and accessible data systems Who we’re looking for Experience building and maintaining data platforms or large-scale data systems Strong collaboration skills and comfort working with cross-functional teams Proactive, self-motivated approach to solving technical challenges Interest in both data and technology, with a drive to make a measurable impact Work environment This is a remote role within the United States. Upstart values initiative and teamwork in a setting where priorities can shift quickly.

Hybrid work environment (3 days in the office, flexible scheduling).About UsAt DoubleVerify, we lead the industry in providing independent marketing measurement software, data, and analytics that validate the quality and efficacy of digital media for major brands and media platforms around the globe. Our solutions ensure media transparency and accountability, delivering the highest quality impressions for optimal advertising performance. Since our inception in 2008, we have empowered countless Fortune 500 companies to maximize their media investments through cutting-edge solutions across the digital landscape. Discover more at www.doubleverify.com.Role OverviewAs a Senior Data Platforms Engineer on our Data Platforms team, you will play a crucial role in enhancing the development experience for both engineering and product teams by creating robust data platforms. You will be responsible for shaping and optimizing our core data services, with a particular emphasis on data warehouse technologies and platforms that facilitate seamless data movement and governance.Our Mission: To enable secure, self-service data at scale across DoubleVerify via a governed platform.Your Responsibilities:As a Senior Data Platforms Engineer, you will oversee the entire lifecycle of essential data platforms, focusing on technologies such as Snowflake, MongoDB, SQL Server, BigQuery, and CloudSQL, as well as data movement tools like Airbyte. Your goal will be to ensure their reliability, scalability, and alignment with our strategic objectives while empowering teams to handle data independently.

Join our team as a Data Platform Engineer, where you will play a pivotal role in developing and managing data platforms that support advanced analytics and business intelligence solutions. You will leverage your technical expertise to design robust data architectures and ensure the integrity and availability of data across various systems.Your responsibilities will include collaborating with cross-functional teams to define data requirements, implementing data ingestion and processing workflows, and optimizing data storage solutions. You will also be instrumental in maintaining data governance and security protocols.

With over 18,000 trusted Shopify and Shopify Plus stores, including renowned brands like Brooklinen, Ruggable, True Classic, and Dr. Squatch, Postscript empowers ecommerce businesses with the essential tools to execute a top-tier SMS marketing program.Our mission is to establish SMS as the premier revenue channel for ecommerce merchants. We provide an intuitive platform that enables businesses to expand their subscriber lists, refine their messaging strategies, deliver exceptional customer service, and enhance sales and loyalty—all from a single, cohesive solution. We firmly believe that SMS is the most significant marketing and sales channel of this decade, and this vision drives our every action.Founded in 2018, Postscript operates entirely remotely and continues to grow, now with more than 250 dedicated employees. We are proud to be backed by prominent investors including Greylock and Y Combinator.As the Engineering Manager for our Customer Data Platform team, you will work closely with the Principal Engineer & Architect to lead a talented group of product and data engineers in creating our CDP from the ground up, playing a crucial role in Postscript’s evolution into an agentic-first organization.Your responsibilities will include daily management of your team, focusing on leadership, people management, and execution. Our backend, primarily built in Python within an AWS architecture, is undergoing transformation to meet increasing scalability and complexity demands. Your team will be instrumental in developing greenfield data platform capabilities essential for powering segmentation, targeting, and personalized experiences across Postscript’s product lineup.The ideal candidate will have a proven track record in leading engineering teams focused on data-intensive products. A strong passion for data infrastructure and product engineering, combined with the ability to deliver impactful work that generates business value, is essential. The best candidates will be versatile, capable of switching between the roles of technical contributor, project manager, and people manager as necessary to drive success for their team and the organization as a whole.

Role Overview Zocdoc is looking for a Staff Data Platform Engineer to help build and maintain the foundation of our data systems. This role can be based in Silicon Valley, CA or fully remote within the United States. What You Will Do Design and implement scalable data infrastructure to support a range of business needs. Collaborate with engineering, analytics, and product teams to deliver reliable data solutions. Ensure data is accurate, accessible, and secure for teams across the company. Support the development of insights that improve our healthcare platform.

Jobgether is looking for a Staff Data Engineer to join the Platform Engineering team. This position centers on designing and building data processing systems that support the company’s growth. Role overview The Staff Data Engineer will take the lead in developing systems that handle large volumes of data. The main goal is to improve scalability and performance throughout the Jobgether platform. This work is essential to ensure that data flows efficiently and reliably as the business expands. Collaboration Expect to work closely with teams from different areas of the company. The role involves implementing data-driven solutions that help shape key business outcomes and support decision-making across Jobgether. Key focus areas Design and develop data processing systems Enhance platform scalability and performance Collaborate with cross-functional teams to deliver impactful solutions

Job Overview Lola Blankets is an innovative and rapidly expanding direct-to-consumer brand, renowned for producing some of the most beloved blankets on the internet. Our cutting-edge, open-source data stack—utilizing tools like dbt, Dagster, and Lightdash—facilitates crucial decision-making processes, ensuring our data remains reliable, fast, and actionable. We are seeking a passionate Data Platform Engineer who will bridge the gap between data and engineering. In this role, you will take ownership of our analytics platform foundation while also contributing to the broader engineering roadmap across product development, operations, and integrations. On the data side, you will collaborate with our Analytics Lead to oversee data ingestion, transformation, orchestration, and the semantic layer. If a dashboard's data seems off, you'll diligently trace it through Lightdash, dbt, and pipelines to identify and rectify the issue. From the engineering perspective, you will partner with our Technology & Engineering Lead to work on integrations, event pipelines, and platform infrastructure, applying a DevOps mindset to maintain environments, deployments, and production reliability. We pride ourselves on being a lean, builders’ team: open-source-oriented, agile, and opinionated. Your strong judgment and execution capabilities will be essential in this dynamic environment.

In the U.S., the healthcare system is a leading cause of personal bankruptcy. Annually, over 50 million Americans face adverse financial impacts from seeking care, leading to lower credit scores and garnished wages. This issue is escalating as high-deductible health plans become increasingly prevalent.Cedar's mission is to harness data science and innovative product design to enhance the affordability and accessibility of healthcare. Unlike traditional healthcare providers who often engage consumers with a generic approach, Cedar aims to deliver a tailored experience by integrating best consumer practices.The RoleThe Data & Integration Platforms team at Cedar is responsible for building the data infrastructure, pipelines, and tools that fuel our products, analytics, and financial operations. We are in search of a Senior Data Engineer to help transition our data ecosystem from custom ETL scripts to a modern, scalable stack utilizing tools such as dbt, Airflow, and Snowflake.In this pivotal role, you will design and manage critical data pipelines (such as client billing, product analytics, and platform data services), enhance data quality and observability, and establish patterns and standards for Cedar's data product development. This position offers significant autonomy and technical ownership, along with cross-functional collaboration opportunities.