Join Databricks as a Senior Product Manager in Data Engineering!At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world, from revolutionizing transportation to advancing medical innovations. We accomplish this by creating and operating the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their businesses.Data Engineering is a critical component of the Databricks Data Intelligence Platform, supporting some of the largest workloads. We are redefining Data Engineering with Lakeflow—a cohesive product that simplifies data ingestion, declarative data transformation, and real-time streaming capabilities. In this pivotal role, you will be responsible for leading the product management of a key Lakeflow area, taking charge of all facets of product management, including vision, strategy, roadmap, execution, and go-to-market initiatives. Additionally, you will collaborate closely with various product teams within Databricks to enhance Data Engineering across our suite of products, including data science, data warehousing, business intelligence, and machine learning offerings.Your Impact:Steer product management for one of the fastest-growing products at Databricks.Create a significant impact across the organization by enhancing Data Engineering throughout the Databricks product suite.Deepen your knowledge and expertise in Data Engineering, a foundational domain within the data and AI landscape.Define and shape the future of data processing, applications, and pipelines.Oversee the entire product development lifecycle, from ideation through to requirements gathering, development, pricing, launch, and marketing.

The Internal Data team at MongoDB plays a crucial role in enhancing decision-making and application development, supporting diverse functions including Go-to-Market (GTM), Product and Technology, Finance, and HR. As we continue to scale, our commitment to becoming a truly Data-Driven Enterprise is paramount. This initiative focuses on establishing reliable, governed golden data assets, world-class self-serve capabilities, and a robust AI-ready data infrastructure.This is a unique opportunity to spearhead a high-impact, company-wide initiative that will revolutionize how MongoDB teams access, trust, and utilize data.This role offers flexibility, as it can be based in any of our major U.S. offices (New York City, Austin, Palo Alto, or San Francisco) under our hybrid work model, or remotely within the United States.As the Senior Director of Data Product Management, you will take ownership of the vision, strategy, and execution of MongoDB's internal data product portfolio, initially concentrating on Go-to-Market (GTM) functions such as Sales, Marketing, and Customer Success. You will lead and cultivate a talented team of four Product Managers, collaborating closely with Data Pipeline, Platform Engineering, Data Architecture, and Data Governance teams to deliver essential data products relied upon by MongoDB teams daily. These products encompass data pipelines, canonical datasets, dashboards, APIs, machine learning models, and self-serve frameworks that drive analytics, AI, and large-scale business decision-making.This position is perfect for an experienced data product leader who possesses both strategic insight and operational expertise — someone capable of effectively engaging with C-suite stakeholders, inspiring a high-performing team, and managing a complex, multi-workstream enterprise initiative from conception to measurable results.

Join Databricks as a Senior Manager in Production Engineering, where you will lead a team of talented engineers in developing and optimizing our groundbreaking data platform. You will drive innovation, enhance productivity, and ensure the seamless operation of our production environments.Your strategic vision and technical expertise will be pivotal in shaping the future of our engineering practices. You will collaborate closely with cross-functional teams to align engineering goals with business objectives, ensuring our solutions are both efficient and scalable.

Varo is revolutionizing banking with an all-digital, mission-driven approach. As an FDIC-insured institution, we are dedicated to serving our customers' modern financial needs.ABOUT OUR PRODUCT TEAMOur product team is the heart of Varo, shaping the app experiences that our customers rely on every day. We are committed to delivering innovative solutions that address real-life challenges.We value understanding our customers' perspectives and stepping outside our office walls. We embody the “glue” metaphor in product management, fostering collaboration across teams to leverage both qualitative and quantitative data. We actively seek feedback and strive for continuous improvement, maintaining a light-hearted atmosphere.ABOUT THE SENIOR PRODUCT MANAGER, DATA ROLEWe are on the lookout for a Senior Product Manager to spearhead our data analytics platform and reporting functionalities. In this role, you will drive strategic initiatives and enhancements to ensure that both technical and non-technical stakeholders are well-informed about the performance of our products, systems, and business operations. You will work collaboratively across various teams and oversee the complete development lifecycle from prioritization and discovery to launch and post-launch support.

Why join Brex?At Brex, we are revolutionizing financial management with our AI-driven spend platform, designed to empower companies of all sizes — from innovative startups to established enterprises like DoorDash and Compass. Our integrated services, including corporate cards, banking, and global payments, along with intuitive travel and expense software, help organizations manage their spending confidently, reduce costs, and enhance operational efficiency globally.Joining our team means embracing challenges, pushing boundaries, and collaborating with some of the brightest minds in the tech industry. We are dedicated to fostering a diverse and inclusive workplace, where your potential is only limited by your ambition. Our commitment is reflected in the tools, resources, and support we provide for your professional growth.Engineering Excellence at BrexOur engineering teams are focused on creating scalable systems with precision and speed. We operate with a high degree of autonomy and collaborative spirit, tackling complex technical challenges and driving excellence from architecture to deployment. Here, engineering is not just a job — it’s a craft, and our builders are empowered to become leaders.Work EnvironmentThis position is based in our San Francisco office, where we foster a hybrid work culture that balances the vibrant energy of in-person collaboration with the flexibility of remote work. Currently, we require team members to be in the office for at least three coordinated days each week: Monday, Wednesday, and Thursday. Additionally, we offer the opportunity for up to four weeks of fully remote work each year!Your RoleAs a Senior Software Engineer on our Product Data Platform (PDP) team, you will play a crucial role in developing and maintaining the high-performance data, query, and search infrastructure that underpins essential product experiences at Brex. Your mission will be to create systems that are customizable, scalable, and reliable for finance teams, requiring the development of optimized, production-grade backend solutions.In this role, you'll focus on data-intensive, distributed systems at scale, leading architectural and performance enhancements across the platform to improve latency, correctness, and scalability across various product surfaces. You’ll also contribute to AI-powered data products, including a dynamic reporting experience that allows customers to interact intelligently with their financial data. Your contributions will ensure that these systems remain fast, reliable, and designed for growth.

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.

About FaireFaire is a revolutionary online wholesale marketplace that champions local commerce, believing in the strength of independent retailers. These retailers are generating more revenue globally than giants like Walmart and Amazon, yet they remain small compared to these corporate titans. At Faire, we harness technology, data, and machine learning to bridge the gap between these vibrant entrepreneurs and the best products from around the world. Our mission is to empower local businesses with the right tools and insights, leveling the playing field against big box and e-commerce competitors.By nurturing the growth of independent businesses, Faire is creating a positive economic impact in communities worldwide. We are on the lookout for innovative, resourceful, and passionate individuals to join us in our quest to revolutionize local shopping. If you share our belief in the power of community, we invite you to be a part of ours.About the RoleAre you enthusiastic about leveraging data and AI to redefine product features for small and medium businesses (SMBs)? If this resonates with you, we want to connect! We are seeking a technical leader to collaborate with Data Scientists, Product Analysts, and Software Engineers to enhance product launches and roadmaps. You will be instrumental in designing and developing data capabilities that drive insights and inform decision-making. This role will put you at the forefront of utilizing AI to enhance productivity and transform analytical engineering processes—streamlining data pipeline development, optimizing data consumption workflows, and automating routine analytical tasks. Your contributions will have a direct impact on company growth and user satisfaction. Join our team of top-tier professionals, work with one of the richest datasets available, and see your efforts translate into real-world applications for SMBs.Join us and contribute to a culture that values data-driven innovation and excellence.

The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.

Join Unify as a Senior Data Engineer, EnrichmentAt Unify, we are pioneering the first AI-driven action system for revenue teams, enabling organizations to transform their outbound efforts into a powerful growth engine. Our technology makes go-to-market strategies observable, repeatable, and scalable. Established in 2023 by visionaries from Ramp and Scale AI, our team boasts experience from industry giants such as Airbnb, Meta, Waymo, and Perplexity.In 2024, we achieved an impressive 8x revenue increase and cater to esteemed clients like Perplexity, Cursor, SoFi, and Justworks. We are a dynamic and high-energy team that has successfully raised $58M from prominent investors including Thrive, Emergence, and OpenAI. Help us shape the future of go-to-market strategies - come aboard!Role OverviewAs a Senior Data Engineer focusing on Enrichment, you will take ownership of the systems that create and uphold the most extensive and high-quality first-party contact dataset available. Your responsibilities will include designing data pipelines that assimilate information from various vendors, developing intelligence to evaluate data source reliability, and establishing a quality framework that secures Unify's data as a competitive advantage.

About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.

Front Careers seeks a Senior Data Engineer based in San Francisco, CA. This position centers on building and maintaining data systems that power analytics and reporting throughout the organization. Key responsibilities Design and maintain data architecture to meet analytics and reporting requirements Develop, optimize, and support data pipelines for reliability and scalability Collaborate with teams across the company to improve data quality, accessibility, and security Enhance and maintain the data infrastructure supporting company operations Role overview This role focuses on ensuring that data flows efficiently and securely, enabling teams to access the information they need for business decisions. The Senior Data Engineer will play a central part in shaping how data is managed and used at Front Careers.

At Plaid, we envision a future where financial interactions are seamless and intuitive. We are committed to driving this evolution by crafting innovative tools and experiences that empower thousands of developers to build their own applications. Our platform supports millions of users in achieving healthier financial lives by connecting their financial accounts with the apps and services they love. Collaborating with industry leaders like Venmo, SoFi, numerous Fortune 500 companies, and major banks, Plaid's extensive network encompasses over 12,000 financial institutions across the United States, Canada, the UK, and Europe. Established in 2013 and headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam. #LI-HybridAs a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, which is focused on developing robust golden datasets to enhance our insights-driven product offerings. Data-driven decision-making is at the heart of Plaid's culture, and your expertise will help us scale our data systems while ensuring data accuracy and integrity. You will provide essential tooling and guidance to various teams across engineering, product, and business, enabling them to access and utilize data effectively. Our engineers rely heavily on SQL and Python to create data workflows, employing tools such as DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool for orchestrating data pipelines and defining workflows. Collaborating closely with engineers, product managers, business intelligence, and data analysts, you will contribute to shaping Plaid's data strategy and fostering a data-first mindset. We thrive on an engineering culture that values individual contributions, encouraging bottom-up ideation and empowering our talented team. We seek engineers passionate about making a meaningful impact for our users and customers while growing together as a cohesive team, delivering MVPs, and continuously improving our processes.In this high-impact position, you will empower business leaders to make faster, more informed decisions based on the datasets you create. You will have the opportunity to define the ownership and scope of internal datasets and visualizations across Plaid, an area we aim to develop further by establishing SLAs. This role presents a unique chance to enhance your technical skills and learn best practices from our strong Data Engineering team and the broader Data Platform team. You will collaborate extensively across all teams at Plaid, from Engineering to Product to Marketing and Finance, forging strong cross-functional partnerships.

About tvScientific tvScientific is the pioneering CTV advertising platform specifically designed for performance marketers. We harness extensive data and advanced technologies to automate and enhance TV advertising, ultimately driving measurable business results. Our platform seamlessly integrates media buying, optimization, measurement, and attribution into a single, efficient solution. Developed by industry veterans with deep expertise in programmatic advertising, digital media, and ad verification, our CTV performance platform offers advertisers a reliable avenue to expand their business. As a Senior Data Engineer at tvScientific, you will play a crucial role in establishing the robust data infrastructure that supports our data-intensive operations. You will work in collaboration with cross-functional teams to refine our core data pipelines, ensuring efficient scaling as we grow, and optimizing data storage solutions. This individual contributor role requires you to define and execute a strategic vision for data engineering within the company. Key Responsibilities: Develop and implement a robust data infrastructure in AWS, utilizing Spark with Scala. Enhance our core data pipelines to efficiently accommodate our significant growth. Optimize data storage solutions in appropriate engines and formats. Collaborate with cross-functional teams to design data solutions that align with business objectives. Construct fault-tolerant batch and streaming data pipelines. Leverage and optimize AWS resources while scaling design. Work closely with Data Science and Product teams to achieve collective goals. Success Metrics: Successful establishment of scalable and efficient data infrastructure. Timely delivery and optimization of data assets and APIs. High attention to detail in the implementation of automated data quality checks. Effective collaboration with cross-functional teams. What We’re Looking For: Proven experience in production data engineering. Expertise in Spark and Scala, with a track record of building data infrastructure using these technologies. Familiarity with data lakes, cloud warehouses, and various storage formats. Strong proficiency in AWS services. Advanced SQL skills for data manipulation and extraction. Exceptional written and verbal communication abilities. Bachelor's degree in Computer Science or a related discipline. Nice to have: Experience with additional data processing frameworks.

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 dynamic team at kinelo as a Senior Product Engineer. In this role, you will leverage your extensive engineering skills to design and implement innovative product solutions that meet our customers' needs. You will collaborate closely with cross-functional teams to drive product development from concept to launch, ensuring high quality and performance standards.

About Formation BioFormation Bio is a cutting-edge pharmaceutical company harnessing the power of technology and AI to transform drug development. As advancements in AI and drug discovery generate more candidate drugs than the industry can efficiently progress through clinical trials, Formation Bio, originally founded as TrialSpark Inc. in 2016, has developed innovative technology platforms and processes to streamline every aspect of drug development and clinical trials. Our mission is to alleviate the bottleneck in drug development to ensure that new medicines reach patients more swiftly. We collaborate, acquire, or in-license drugs from pharmaceutical companies, biotechs, and research organizations to advance programs beyond clinical proof of concept, ultimately delivering new therapies to patients. Our esteemed investors include a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and many others. Explore more about us through the following links:Our Vision for AI in PharmaOur Current Drug PortfolioOur Technology & PlatformAt Formation Bio, our core values empower our mission to revolutionize the pharmaceutical landscape. Every member of our team embodies these values and contributes significantly to our goal of expediting access to new treatments for patients. About the PositionWe are seeking a Senior Data Engineer to become a vital part of our Scientific Data Intelligence (SDI) team at Formation Bio. Your primary responsibility will be to enhance and scale the data infrastructure that supports our drug development platform. This role will require you to collaborate closely with the Data Science team, developing coherent, well-structured data models, feature engineering pipelines, and evidence layers that are foundational to their scientific endeavors. In addition, you will be tasked with ingesting data from diverse sources—APIs, files, databases, and licensed third-party datasets—and transforming it into clean, analytics-ready assets utilizing modern data tools.This position is ideal for an individual who takes pride in building robust systems: reliable data pipelines, well-organized data models, and frameworks that colleagues can confidently rely upon. You will work in conjunction with Data Scientists and other engineering experts to propel our mission forward.

Join Pinterest as a Senior Staff Software Engineer on our Data Product Platform team. In this role, you will leverage your expertise in software engineering to contribute to our innovative data products that power Pinterest’s vision to bring everyone the inspiration to create a life they love. You will work collaboratively with cross-functional teams to design and develop scalable data solutions that provide significant value to our users.

Why Join AngelList At AngelList, we are tackling some of the most challenging issues in venture capital and private markets. Join a team that emphasizes precision, urgency, and long-term vision. If you’re eager to influence the funding and development of startups, this is the ideal opportunity for you.About AngelListOur mission is to accelerate innovation by boosting the number of successful startups globally. We achieve this by creating the financial infrastructure that simplifies investment in transformative companies.Situated at the intersection of venture capital and the startup ecosystem, AngelList oversees over $171 billion in assets and has facilitated investments in more than 13,000 startups, including over 300 unicorns. Notably, 57% of top-tier U.S. VC deals involve investors from AngelList. Although our reach is significant, our aspirations are even greater.If you are passionate about shaping the future of private markets, we invite you to build with us.About the Role:We are seeking a Senior Product Engineer to enhance one of our most cherished products – "Investor Management," which encompasses Digital Subscriptions and Data Room. By integrating investor workflows onto a single platform, we have delivered a tenfold improvement in experience for fund managers and their investors.At AngelList, we take pride in significantly impacting the venture capital industry through small, autonomous teams that are built on collaboration and mutual respect. Our team operates from our San Francisco headquarters, partnering with thought leaders to tackle challenging problems and drive innovation forward.

Join Amplitude as a Senior Software Engineer, specializing in Data Management. In this pivotal role, you will lead the development and optimization of our data management systems, ensuring scalability, efficiency, and reliability. Your expertise will help shape the future of data-driven decision-making within our organization.