AI and Data Science Team Manager

Databricks is seeking an experienced Senior Manager of Infrastructure Data Science to redefine our infrastructure landscape through innovative data science solutions. In this pivotal role, you will confront complex challenges encompassing capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and enhancing customer experience. You will lead a talented team of data scientists and collaborate closely with engineering leaders to provide actionable data-driven insights and solutions.At Databricks, our passion lies in empowering data teams to tackle the world's most pressing challenges, from cybersecurity threat detection to advancements in cancer treatment. We achieve this by developing and managing a cutting-edge data and AI infrastructure platform, enabling our customers to concentrate on the high-impact challenges central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly evolved from a small office in Berkeley, CA to a global powerhouse with over 7,000 employees. Thousands of organizations, from startups to Fortune 100 companies, rely on Databricks for their mission-critical workloads, making us one of the fastest-growing SaaS companies worldwide.Our engineering teams are dedicated to creating highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for customer success on our platform.

Role Overview Abridge is hiring a Senior Manager, Data Science, based in the San Francisco office. This leadership role guides a team of data scientists focused on building impactful analytical models and shaping data-driven strategies. What You Will Do Lead and mentor a team of data scientists, supporting their growth and project success Oversee the design and implementation of advanced analytical models Work closely with cross-functional groups to strengthen product features and improve user experience Champion data-driven decision making across teams Location This role is based in Abridge's San Francisco office.

Role Overview DoorDash is hiring a Data Science Manager to lead a team of data scientists working on projects that use data to improve DoorDash’s services. This role involves managing team members, setting direction for analytical model development, and shaping strategies that influence decisions across the company. What You Will Do Oversee and mentor a team of data scientists Guide the development of analytical models and data-driven strategies Work with teams from different departments to spot opportunities for improvement Deliver insights that help DoorDash connect people with top local options Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX

Join Checkr as a Senior Data Science Manager, focusing on driving revenue and growth through data-driven insights and innovative strategies. You will lead a talented team of data scientists to analyze complex datasets, develop predictive models, and implement solutions that enhance business performance. If you are passionate about leveraging data to influence key business decisions and thrive in a fast-paced environment, we want to hear from you!

Role Overview Mercury is hiring a Senior Data Science Manager to guide key data initiatives as the company continues to grow. This role leads a skilled team of data scientists, applying advanced analytics to uncover insights that shape strategy and improve how the business operates. What You Will Do Lead and mentor a team of data scientists Use analytics to inform strategic decisions and drive operational improvements Work with teams across the company to find ways data can strengthen products and services Location This position is open to candidates based in San Francisco, CA; New York, NY; Portland, OR; or remote within Canada or the United States.

Join Pinterest as a Manager II in Data Science and play a vital role in shaping our data-driven strategies. Lead a talented team of data scientists to leverage analytics and machine learning, driving impactful insights that enhance user experience and business outcomes.In this position, you will collaborate cross-functionally with engineering, product management, and marketing teams, ensuring that analytics is deeply integrated into our decision-making processes.

Join us in making a difference! We’re hiring! At GoFundMe, we pride ourselves on being the world’s leading platform dedicated to empowering individuals and communities to support one another. By bringing together people and nonprofits, we facilitate a safe and easy way for individuals to seek and provide help, having collectively raised over $40 billion since our inception in 2010. We are in search of a talented Data Science Manager who will architect and spearhead the future of marketing data science at GoFundMe. This pivotal role involves developing and scaling applied data science and AI frameworks that enable our Marketing, Growth, and Finance teams to make informed, ROI-positive investment choices. You will function as both a leader and mentor within a skilled team of data scientists, driving innovation while ensuring high standards of delivery. Candidates for this role must be located in the San Francisco Bay Area, with an in-office presence required three times a week. Your Responsibilities: Establish a robust AI and data science infrastructure: Design scalable data pipelines, reusable modeling frameworks, and reliable experimentation platforms to support critical marketing and growth decisions. Lead comprehensive data science and AI initiatives: Oversee projects from initial requirements gathering through to feature engineering, modeling, validation, deployment, and ongoing monitoring. Set best practices: Advocate for standards in model governance, reproducibility, data quality, and system reliability, ensuring sustainable and trustworthy AI integration. Innovate in marketing science: Utilize advanced methodologies such as causal inference, uplift modeling, multi-touch attribution, and media mix modeling to derive insights and enhance spending effectiveness. Enhance forecasting and ROI modeling: Develop budget allocation frameworks and predictive models that inform long-term planning and marketing efficiency. Collaborate across departments: Partner with leaders from Marketing, Growth, Product, Engineering, and Finance to synchronize analytics initiatives with revenue objectives. Invest in talent development: Mentor and guide a high-performing team of data scientists, fostering a culture of technical excellence, curiosity, and practical innovation. Push the boundaries of applied AI in marketing: Assess emerging generative and predictive AI techniques for audience segmentation, creative optimization, personalization, and enhancing campaign efficiency.

Join Lyft as a Data Science Manager in our Mapping team, where you'll play a crucial role in shaping the future of transportation. You'll lead a talented team of data scientists, leveraging data to enhance our mapping platform and improve user experiences.In this dynamic environment, you will collaborate with cross-functional teams to derive insights from vast datasets, develop innovative solutions, and drive strategic initiatives. Your leadership will empower your team to explore new approaches in data science, making a significant impact on our products and services.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. At SoFi, we are revolutionizing the personal finance landscape for our members with innovative, mobile-first technology. As a next-generation financial services provider and national bank, we are at the forefront of an industry undergoing significant transformation. Our work directly impacts people's lives, guided by our core values. Invest in yourself, your career, and the financial world by joining us.The Role:We are seeking a Senior Data Science Manager to lead our Data Science team in enhancing SoFi’s capabilities across our SIPS divisions. This pivotal role will utilize your analytical, engineering, and leadership skills to guide a high-impact team of Data Scientists.As a data leader, you will balance immediate data requests with high-quality project delivery to key stakeholders, implementing a repeatable data-informed strategy. You will foster a culture of technical ownership, establish high standards for performance, and mentor individual contributors while ensuring the team meets its objectives.Collaboration is key as you will work alongside teams across engineering, product management, marketing, design, operations, finance, risk, legal, compliance, and executive leadership to define business goals, develop product strategies, and prioritize feature execution.

Join OpenAI's Integrity Data Science team, where our mission revolves around the responsible deployment of powerful AI technologies. We are dedicated to ensuring that our users can trust our products by developing measurement systems, experimental practices, and strategies to detect and mitigate misuse, fraud, and evolving adversarial behaviors.As we expand the scope and urgency of our Integrity initiatives across various product surfaces and market strategies, we are seeking a passionate Data Science Manager. In this role, you will play a pivotal role in scaling our team, enhancing execution across multiple Integrity domains, and fostering collaboration with Product, Engineering, Operations, and related teams (e.g., Growth, Ads).This position is located at our San Francisco headquarters (in-office).

Whatnot is a livestream shopping platform connecting buyers and sellers across North America and Europe. The marketplace covers a wide range of categories, from trading cards and electronics to fashion and live plants. Sellers use the platform to build businesses, while the team works to shape the future of live commerce in Western markets without relying on a set formula. The company operates as a remote-first organization, with co-located hubs in the US, UK, Ireland, Poland, Germany, and Australia. Agility and a focus on user needs drive the team’s approach, with projects chosen for their measurable impact. Whatnot has been recognized among the fastest growing marketplaces and was ranked #1 Best Startup Employer in America by Forbes. For more about the team and values, visit the careers page, the news blog, or the engineering blog.

Senior Manager of Data Platforms & Autonomy Infrastructure San Francisco Bay Area — In Person About Zipline Zipline is pioneering an innovative instant logistics system, utilizing autonomous aircraft to deliver essential and everyday items to individuals precisely when and where they need them. Currently, Zipline boasts the world's largest autonomous delivery network, providing support to healthcare systems, governmental agencies, and commercial partners across various continents. As Zipline expands its operations from tens of thousands to millions of flights daily, the significance of data as core infrastructure cannot be overstated. The mechanisms that determine the data we gather, how we process it, and how teams utilize it directly influence safety, autonomy performance, system uptime, and operational costs. About the Role We are seeking a Senior Manager of Data Platforms & Autonomy Infrastructure to spearhead teams and systems that transform real-world flight data into actionable insights and learning experiences. This pivotal role is responsible for the comprehensive data platform for autonomy and operations, overseeing everything from onboard data logging and ingestion to post-processing, sampling, and the creation of curated datasets utilized by autonomy, hardware, operations, and business teams. The ideal candidate will establish technical direction, build and guide the organization, and ensure the reliability of these systems to accommodate 1 million flights daily with exceptional uptime. This position is particularly suited for leaders who have experience in developing large-scale robotics or autonomy data systems in production environments. This is an in-person position based in the San Francisco Bay Area. Key Responsibilities Set Technical Direction Develop a long-term strategy and roadmap for Zipline’s data, autonomy, and machine learning infrastructure. Establish architectural standards across logging, data ingestion, processing, storage, access/visualization, and machine learning training and evaluation. Balance reliability, performance, cost, and developer productivity across the platform. Support a diverse range of internal stakeholders, including hardware teams, autonomy/software teams, and analytics/business teams. Facilitate Debugging, Learning, and Scalability Enable swift root-cause analysis across autonomy, hardware, and operations.

About the RoleAt Hinge Health, we are on a mission to revolutionize the way we approach pain management by creating a cohesive platform that seamlessly integrates digital and hybrid care solutions. We are looking for a Data Science Manager to spearhead our data strategy in two vital areas: Treatment Experience and Hinge Select.In this pivotal role, you will take charge of the data roadmap for our cutting-edge clinical technologies, which include Computer Vision (Motion Insights), the Enso wearable device, and our Rewards & Insights (RAIN) engagement platform. You will also lead the analytics strategy for Hinge Select, a rapidly expanding hybrid care service that connects members with both virtual specialists and in-person healthcare providers.What You'll AccomplishStrategic Thought Leadership: Act as the primary data partner for the Treatment Experience and Hinge Select leadership teams, proactively identifying opportunities to enhance CV adoption, optimize Enso usage, and improve conversion rates in the Hinge Select funnel.Team Leadership & Development: Mentor and grow a talented team of Data Scientists (currently 4 direct reports), fostering a culture of technical excellence, autonomy, and open communication. You will oversee their performance management, career advancement, and project prioritization.Product Data Quality & Infrastructure: Lead the charge on the 'Product Data Quality' initiative within your domains. This includes defining metric frameworks, enforcing strict instrumentation and taxonomy standards (Mixpanel), and ensuring the delivery of reliable, well-documented dbt data models in Databricks.Experimentation Excellence: Enhance the rigor and speed of experimentation within your teams using Statsig. Guide your team in designing complex experiments and interpreting results to ensure clarity and avoid unnecessary shipping.0-to-1 Product Analytics (Hinge Select): Build the foundational data architecture for Hinge Select, collaborating with Engineering to address complex data ingestion challenges and create a comprehensive view of our hybrid care supply and demand.Cross-Functional Collaboration: Connect technical data initiatives with business outcomes, ensuring that your team’s deliverables—whether predictive models or dashboards—are actionable, accessible, and aligned with company objectives.

SentiLink specializes in pioneering identity and risk management solutions that enable organizations and individuals to conduct transactions with assurance. We are revolutionizing the identity verification landscape in the United States by providing solutions that are significantly faster, smarter, and more reliable than traditional methods.Our rapid growth is a testament to our innovative approach, with real-time APIs that have successfully verified hundreds of millions of identities, initially within the financial services sector and expanding into diverse markets. Backed by leading investors like Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin, we are poised for continued expansion.SentiLink has received accolades from notable media outlets such as TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker, and has been featured on the Forbes Fintech 50 list since 2023. We have also made history by being the first company to implement the eCBSV and have testified before the United States House of Representatives regarding the future of identity.At SentiLink, we offer flexible work arrangements including fully remote, hybrid, and in-office options. We function as a digital-first organization with robust collaboration across teams in the U.S. and India, maintaining physical offices in key cities including Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., as well as Gurugram and Bengaluru in India. We encourage those near our offices to engage regularly with their teams in person, particularly for roles designed to be hybrid or in-office.Role:As a Data Science Manager at SentiLink, you will lead a dynamic team of skilled data scientists focused on developing our product suite that identifies fraudulent activities and enhances our offerings in financial risk management. You will serve as a pivotal technical leader and mentor, guiding your team while also taking ownership of your domain within the organization. Leverage your data science expertise to challenge and inspire your team to excel. Your projects will carry significant visibility and impact, requiring innovative solutions and strategic thinking.

Whatnot is seeking a Data Science Manager in San Francisco, CA. This position centers on guiding a team that uses data to inform decisions and support the growth of a large-scale livestream shopping marketplace. The role calls for someone who can lead with clarity, encourage innovation, and keep the team focused on results that matter to the business. Role overview The Data Science Manager will play a key part in shaping the future of live commerce at Whatnot. The work involves supporting a team of data scientists, fostering a collaborative environment, and ensuring that data insights translate into real impact for buyers, sellers, and the platform as a whole. What you will do Guide and mentor a team of data scientists to deliver actionable insights Promote a culture of innovation and experimentation Work closely with product and business teams to drive data-informed strategies Keep the team aligned with company goals and user needs Requirements Experience leading data science teams Ability to inspire and motivate others Strong focus on delivering outcomes that support business growth Whatnot’s headquarters are in San Francisco, and the company operates with a distributed team across several countries. The culture values rapid product development, close connections with users, and work that makes a difference. Learn more about Whatnot’s core values, recent marketplace growth, and see why Forbes named Whatnot the #1 Best Startup Employer in America. For more insights, visit the company news and engineering blogs.

Join Headway as a Senior Manager in Data Science, focusing on Patient Growth. In this strategic role, you will lead a talented team dedicated to leveraging data-driven insights to enhance patient engagement and drive growth initiatives.Your responsibilities will include developing sophisticated analytical strategies, overseeing the execution of data projects, and collaborating with cross-functional teams to optimize patient acquisition efforts. You will be instrumental in shaping the direction of our data initiatives and ensuring alignment with organizational goals.

At Judgment Labs, we specialize in developing cutting-edge infrastructure for Agent Behavior Monitoring (ABM). Unlike conventional observability tools that merely track exceptions and latency, our ABM technology identifies behavioral anomalies, such as instruction drifts and context retrieval losses, in large-scale production settings.Our solutions are trusted by numerous teams working on autonomous agents to gain insights into system behavior post-deployment. Rather than simply reacting to incidents, our clients analyze patterns across conversations and workflows, correlate regressions with specific interaction types, and identify critical points of reliability failure. Recently, we secured over $30 million across two funding rounds from notable investors like Lightspeed, SV Angel, and Valor Equity Partners.The Role:We are seeking a Senior Data Infrastructure Engineer to architect and enhance the real-time data pipelines essential for robust agent behavior analysis at scale. This position plays a vital role in processing hundreds of thousands of traces per second, executing LLM-based scoring and clustering in near-real-time, and ensuring low-latency query performance, which allows teams to monitor agent behavior as it unfolds. Ideal candidates will have experience designing petabyte-scale data systems, optimizing OLAP database performance, and managing the full data lifecycle from ingestion to analytics.What You'll Do:Design and automate large-scale, high-performance streaming and batch data processing systems to support Judgment's behavioral analysis products.Collaborate closely with infrastructure and backend teams to enhance scalability, data governance, and operational efficiency.Promote best practices in software engineering for data infrastructure at scale.Uphold high standards for data quality and engineering: ensuring reliability, efficiency, documentation, testability, and maintainability.Craft data models for optimal storage and access, ensuring efficient data flows to meet critical product requirements.Enhance OLAP database performance through careful schema design, partitioning strategies, storage optimization, and access pattern analysis.

At Plaid, we believe in the power of data-driven decision-making. Our data culture demands robust and scalable data systems that ensure accuracy and completeness. As a Senior Software Engineer focusing on Data Infrastructure, you will play a pivotal role in empowering teams across engineering, product, and business sectors to swiftly and securely extract valuable data insights. Your work will directly enhance our ability to serve customers effectively. You will be responsible for building and optimizing our data and machine learning infrastructure, allowing Plaid engineers to innovate and iterate on products built on consumer-permissioned financial data. Our Data Infrastructure engineers are experts in Data Warehousing, Data Lakehouse architecture, Spark, Workflow Orchestration, and Streaming technologies. You will enhance our existing data pipelines for performance and cost efficiency while creating intuitive abstractions that simplify the development process for other engineers at Plaid.

Join Matter Intelligence as a Data and Machine Learning Infrastructure Engineer, where you will play a pivotal role in shaping the future of data-driven decision-making. You will be part of a dynamic team focused on building and optimizing infrastructure that supports innovative machine learning applications. Your expertise will help us enhance our data pipelines and ensure seamless integration of machine learning models into production.