Software Engineer for Research Data Platform

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.

About Collective Collective helps solo entrepreneurs run their businesses with less hassle. Our technology and team of advisors make it easier for members to handle incorporation, accounting, bookkeeping, and taxes, all in one place. The goal: give self-employed professionals the same tax advantages as large companies, so they can focus on what matters most to them. Our work has been highlighted in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Investors backing Collective include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google's Gradient Ventures. Many have also supported brands like YouTube, Substack, and Lyft. Role Overview: AI Data Engineer Collective is looking for a Senior AI Data Engineer to build an internal data agent platform. The mission: make company data accessible to employees, so anyone can ask questions in plain English and get reliable insights or dashboards in return. This role blends AI systems, data infrastructure, and product engineering. The work goes beyond building a system, it requires attention to data integrity, consistency, and reliability throughout. The team is searching for someone who can set a technical direction, design the data architecture, and help drive adoption of these new tools across the company. What You Will Do Develop Agent Infrastructure Build systems for data retrieval, planning, and execution using real company data Enable multi-step reasoning and analytical workflows Connect the agent platform with internal tools Create an End-to-End Analytics System Develop a natural language interface for the entire data stack Allow employees to run complex analyses without SQL Manage and Enhance the Data Layer Work with product engineering teams to design and improve clean, consistent data models Continuously raise the quality and accessibility of company data Location San Francisco

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 Airwallex as a Senior Software EngineerAt Airwallex, we are redefining the global payments and financial landscape for businesses. Our integrated financial platform empowers over 200,000 companies, including major players like Brex and SHEIN, to streamline their operations from payment processing to treasury management.Founded in Melbourne, we now boast a diverse team of over 2,000 talented professionals across 26 offices globally. With a valuation of $8 billion and backing from top-tier investors such as T. Rowe Price and Visa, we are on a mission to revolutionize the future of global banking and finance. If you are ready to take on ambitious challenges and make a significant impact, we want you on our team.What We Look ForWe seek passionate builders who thrive in a fast-paced environment and are driven by innovation. If you possess deep technical expertise, exceptional problem-solving skills, and a collaborative spirit, you will excel here. We value curiosity, humility, and the ability to turn visionary ideas into tangible products. Leverage AI to enhance efficiency and tackle complex challenges with strong teammates as we shape the future of finance together.Your RoleAs a Senior Software Engineer within our Platform Engineering team, you will play a crucial role in designing and implementing next-generation infrastructure. We are focused on developing a robust, distributed ecosystem that supports real-time AI capabilities and global financial data management.Your responsibilities will include optimizing distributed systems, enhancing JVM performance, and employing architectural patterns that facilitate real-time data processing.

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 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!

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.

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.

At ClickUp, we are not just creating software, we are crafting the future of work! In a landscape saturated with work complexities, we envisioned a better solution. This vision led to the development of the first genuinely integrated AI workspace, seamlessly combining tasks, documents, chat, calendar, and enterprise search, all enhanced by context-sensitive AI. This empowers millions of teams to break down barriers, reclaim their time, and elevate productivity to new heights. Here at ClickUp, you will have the chance to learn, leverage, and innovate with AI in ways that will not only transform our product but also redefine the future of work itself. Join us in being part of a daring, innovative team that is reshaping possibilities! Role Overview:We are in search of a highly talented and experienced Staff AI Engineer – AI Platform to become a vital member of our ClickUp Engineering team. In this pivotal role, you will significantly contribute to the development of our core AI platform and directly utilize large language models (LLMs) to implement intelligent features across ClickUp. Your focus will be on back-end systems that facilitate scalable, dependable, and secure AI-driven capabilities, while also engaging hands-on with LLMs to address real user challenges and propel product innovation.Key Responsibilities:Design, architect, and implement scalable AI platform services to support the deployment, orchestration, and lifecycle management of LLMs and other AI models.Utilize LLMs and other AI technologies to build and enhance ClickUp’s intelligent features, collaborating closely with product and engineering teams to deliver impactful solutions.Develop and maintain robust APIs and backend systems that facilitate seamless integration of AI-enhanced features into ClickUp’s core platform.Create infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.Integrate with various LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost-efficiency.Promote best practices in AI privacy, security, and compliance, including data anonymization and secure data handling.Optimize platform performance, scalability, and cost-efficiency, utilizing cloud-native technologies and distributed systems.Stay abreast of advancements in AI infrastructure, MLOps, and LLM applications, and proactively apply relevant innovations to ClickUp’s AI platform.Collaborate cross-functionally with teams to drive AI initiatives.

About Quizlet:At Quizlet, we strive to empower every learner to achieve their goals in the most effective and enjoyable manner possible. Our $1 billion-plus learning platform caters to tens of millions of students each month, including two-thirds of U.S. high schoolers and half of U.S. college students, facilitating over 2 billion learning interactions monthly.We merge cognitive science with innovative machine learning techniques to personalize and enhance the educational experience for students, professionals, and lifelong learners alike. Our enthusiasm lies in our potential to support a diverse range of learners through various approaches and tools.Let’s Shape the Future of Learning TogetherJoin us in designing and delivering cutting-edge, AI-driven learning tools that scale globally and unlock human potential.About the Team:The AI & Data Platform team is dedicated to creating 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 unify our AI initiatives to develop a powerful product portfolio, the platform team focuses on achieving operational excellence. We actively adopt and optimize the best MLOps and DataOps technologies to expedite innovation throughout Quizlet.About the Role:As a Senior AI & Data Platform Engineer, you will play a vital role in crafting Quizlet’s next-generation analytical data and machine learning architecture. Collaborating with teams across Data Science, ML Engineering, and Product, you will deliver scalable, dependable, and efficient systems that support the development and deployment of AI-enhanced features.Your success will be evaluated based on platform reliability, developer experience, and adoption across teams. This position offers the chance to work with state-of-the-art technologies and contribute to the foundational infrastructure that drives Quizlet’s AI roadmap.We are excited to inform you that this is an onsite position located in our San Francisco office. To encourage team collaboration, we require employees to be in the office at least three days a week: Monday, Wednesday, and Thursday, along with any additional days as requested by your manager or the company. We believe this work environment enhances productivity, fosters team synergy, and supports both employee and organizational growth.

Lambda, recognized as The Superintelligence Cloud, is a pioneering force in AI cloud infrastructure, empowering tens of thousands of customers, from AI researchers to large enterprises and hyperscalers. Our mission is to make computational power as accessible as electricity, providing everyone the capability of superintelligence—one person, one GPU.Join us in our quest to build the world’s leading AI cloud platform.Note: This role mandates in-office presence in our San Francisco location four days a week; Lambda’s designated remote work day is Tuesday.As an Engineering Manager at Lambda, you will lead the charge in developing and scaling our cloud offerings, which encompass the Lambda website, cloud APIs, and internal tools for deployment, management, and maintenance.

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.

Join Our Team at Hayden AIAt Hayden AI, we are dedicated to revolutionizing public transit and government operations through innovative computer vision technologies. Our mission is to tackle real-world challenges faced by transit systems, enabling them to enhance safety, optimize transportation, and contribute to a sustainable future.We develop advanced mobile perception systems designed to improve transit flow and street safety. As a part of our dynamic team, you will work at the forefront of technology, utilizing AWS and GCP cloud services while developing cutting-edge Linux-based edge devices.Role OverviewWe seek an enthusiastic Senior Software Engineer to enhance our data platform, ensuring it is reliable, scalable, and high-performing. In this role, you will design and construct core data infrastructure, optimize data pipelines, uphold data quality standards, and collaborate closely with product and data science teams to deliver transformative data solutions that drive business insights.

Jordan Park is dedicated to providing exceptional investment management and financial guidance to a unique community of individuals, families, and institutions. Our clients have significantly impacted business, philanthropy, government, and society. Our team consists of compassionate problem solvers with diverse experiences. We tackle complexity and overcome challenges to empower our clients in reaching their ideal outcomes.Our mission is to enrich lives and legacies.Senior Associate, Software Engineer – Data Platform & AI ApplicationsSan Francisco, California The Opportunity We are looking for a Senior Associate to contribute to the development and expansion of our enterprise data platform and AI application ecosystem.This position merges advanced data engineering, cloud infrastructure, DevOps practices, and applied AI development. As a senior individual contributor, you will own significant platform components and work closely with leadership and business teams, providing a hands-on technical presence with substantial scope and influence.Your responsibilities will include enabling trustworthy analytics firm-wide, integrating proprietary data into AI systems, automating operational workflows, and crafting customized applications and tools.

About AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare through our innovative AI-powered platform. We specialize in transforming medical conversations into structured clinical notes in real-time, enabling clinicians to prioritize patient care. Our enterprise-grade technology seamlessly integrates with electronic medical records (EMRs) to ensure accuracy and trust in AI-generated summaries.As pioneers in generative AI for healthcare, we are setting the industry benchmarks for responsible AI deployment across health systems. Our diverse team consists of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers united in their mission to empower patients and make healthcare more comprehensible. We have offices located in San Francisco's Mission District, New York's SoHo neighborhood, and East Liberty in Pittsburgh.The RoleJoin us as an AI Platform Engineer, where your work will significantly impact the healthcare sector. You will collaborate with a multidisciplinary team of researchers, clinical scientists, and product engineers to design and develop the runtime, orchestration engine, and evaluation platform necessary for agentic orchestration and LLM-driven workflows.What You’ll DoCreate GenAI systems that transform LLMs into composable, reliable tools, utilizing retrieval, tool use, agentic reasoning, and structured outputs.Develop a highly reliable and scalable agent runtime that includes orchestration, shared state and memory, tool-calling interfaces, and scheduling focused on cost, latency, and quality.Build secure, sandboxed environments for agent actions and code, optimizing for cold start, isolation, and observability.Deliver unified interfaces for multiple model sizes and providers; integrate with open tool ecosystems such as MCP-style connectors.Create an evaluation platform for both online and offline assessments, A/B testing, safety checks, and regression gates that enhance agent reliability over time.Collaborate with Research to bring new agent capabilities from prototype to production.What You’ll BringDemonstrated experience in building agent applications with tool-calling, context engineering, and related technologies.Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.Familiarity with generative AI technologies and their applications in healthcare.

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.

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.