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Experience Level
Manager
Qualifications
To be successful in this role, you should possess:A U. S. Bachelor’s degree or foreign equivalent in Computer Engineering, Mechanical Engineering, Data Engineering, or a closely related field. A minimum of five (5) years of progressive professional experience as a Data Manager or in a closely related field. Strong expertise in healthcare interoperability standards (HL7, FHIR, CCD), data integration tools, ETL processes, APIs, SQL Server, project management methodologies (Agile and Scrum), and vendor management.
About the job
Join Innovaccer Analytics as a Manager - Data Exchange and Interoperability. In this pivotal role, you will lead a talented team focused on the seamless acquisition of healthcare data from diverse provider systems and third-party platforms.
Your responsibilities will include overseeing the entire lifecycle of data onboarding projects, strategic planning, and relationship management with U. S. healthcare providers and IT vendors. You will also ensure compliance and functionality through rigorous testing and validation of data connections.
This position offers the flexibility of telecommuting from the U. S.
About Innovaccer Analytics
Innovaccer Analytics is a pioneering organization dedicated to transforming healthcare through data interoperability and analytics solutions. Our mission is to empower healthcare providers with the tools they need to deliver better care.
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Full-time|$216K/yr - $219K/yr|Remote|San Francisco, California, United States
Join Innovaccer Analytics as a Manager - Data Exchange and Interoperability. In this pivotal role, you will lead a talented team focused on the seamless acquisition of healthcare data from diverse provider systems and third-party platforms.Your responsibilities will include overseeing the entire lifecycle of data onboarding projects, strategic planning, and relationship management with U.S. healthcare providers and IT vendors. You will also ensure compliance and functionality through rigorous testing and validation of data connections.This position offers the flexibility of telecommuting from the U.S.
Join Us in Transforming Mental Health Care!At Spring Health, we are dedicated to revolutionizing mental healthcare by eliminating barriers that hinder individuals from receiving timely support. Our clinically validated technology, Precision Mental Healthcare, enables us to deliver tailored care—whether through therapy, coaching, medication, or other essential services—specific to each person's needs.As a trusted partner to over 450 organizations, ranging from innovative startups to Fortune 500 giants like Microsoft, Target, and Delta Airlines, we are proud to serve 10 million individuals worldwide. Our cutting-edge platform has achieved a net positive ROI for employers and is the only one in our sector to receive external validation for the savings we provide to clients.Backed by prominent investors like Generation Investment, Kinnevik, Tiger Global, and others, our recent Series E funding has propelled our valuation to $3.3 billion. We invite you to be part of our journey to make mental healthcare accessible for everyone, everywhere.This full-time leadership role is situated within the Intelligence Pod of Customer Value & Commercialization, reporting to the Director of Data Science. You will collaborate with Analytics Engineering, Software Engineering, and Product teams to measure and demonstrate the value of Spring's solutions for our clients. This is a hybrid position based in San Francisco, requiring you to be in the office 2-3 days per week at our location: 2 Embarcadero Center.Your Responsibilities:Enhance and maintain Spring's data exchange infrastructure.Occasionally engage with vendors and customers as a technical expert.Serve as a vital partner for analytics initiatives, ensuring the successful delivery of data solutions.
Full-time|On-site|San Francisco, CA; Sunnyvale, CA; Seattle, WA; New York, NY; Chicago, IL; Austin, TX
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
About Our Innovative TeamThe Human Data team plays a vital role in transforming human feedback into actionable insights for training and evaluation. We meticulously design and implement comprehensive programs that delve into the nuances of human intent across various applications of our models, from everyday tasks to critical scenarios. Our work encompasses tailored data initiatives, scalable synthetic data solutions, and integrated product signals. Collaborating closely with all research teams, we convert these insights into training datasets, innovative evaluations, and feedback mechanisms that not only enhance our models but also broaden their practical applications.Your Role in Shaping the FutureAs a Program Manager (PGM) within the Human Data team, you will collaborate with research teams, operations, and engineering to drive complex programs aimed at acquiring high-quality data. You will serve as a crucial liaison between external vendors and AI trainers, ensuring the successful execution of human data campaigns. Your contributions will be instrumental in empowering OpenAI to develop safe and effective models for real-world deployment.This position is based in our San Francisco headquarters.Your Responsibilities Include:Thriving in a fast-paced environment where your work directly impacts the models OpenAI deploys.Collaborating with external vendors, trainers, and internal researchers to gather, review, and deliver top-tier data.Defining project requirements, drafting instructions, establishing success metrics, and calibrating AI trainers.Utilizing internal tools to evaluate labeled data and provide insightful feedback to AI trainers.Engaging in critical thinking to offer recommendations on tooling and process enhancements aimed at optimizing quality, efficiency, and the overall experience for AI trainers.You Will Succeed in This Role If:You excel in dynamic environments. You can navigate uncertainty, manage shifting priorities, and adapt quickly to fast-paced changes without missing a beat.You possess a curiosity for AI, LLMs, and Agents. While not mandatory, an interest or background in these areas will enhance your ability to connect with our broader mission.You have a proactive mindset. You embrace the opportunity to engage in hands-on tasks with the same enthusiasm as high-visibility projects.You are an exceptional communicator. You thrive on bringing teams together, fostering collaboration, and ensuring clear communication across all channels.
Full-time|Remote|San Francisco, CA, USA; Remote, CA, US
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 OP Labs, the innovative team behind Optimism, a leading blockchain infrastructure provider responsible for 65% of all Layer 2 transactions. Our open-source OP Stack empowers developers and enterprises to effortlessly launch scalable, secure, and customizable on-chain networks. Supported by notable investors like a16z and Paradigm, OP Labs has successfully raised over $175 million to foster the next wave of on-chain innovations.Role OverviewWe are seeking a dynamic Senior Product Manager to spearhead on-chain adoption initiatives targeting fintech companies and centralized cryptocurrency exchanges within the Optimism ecosystem. As these entities transition to on-chain operations, they become pivotal partners in attracting millions of users and managing substantial asset flows. In this role, you will shape the product strategy for enterprise-focused offerings that enhance their product range and integrate DeFi functionalities while ensuring an outstanding user experience.As the creators of the Optimism Mainnet and the infrastructure supporting all OP Stack chains, OP Labs is on a mission to significantly improve Ethereum's performance. Operating as a Public Benefit Corporation, we align our objectives with the public good by funding Ethereum public goods through our growth.Key ResponsibilitiesLead the Fintech & Exchange Roadmap: Formulate and implement product strategies that facilitate the integration of on-chain services into fintech and exchange platforms.Champion the Customer: Develop in-depth knowledge of fintechs and exchanges, addressing their needs around compliance, custody, and user experience. Transform these insights into valuable products and partnerships.Drive Adoption of On-chain Services: Initiate and scale products that simplify the offering of yield, trading, payments, and other on-chain financial products for enterprises.Partner with the Ecosystem: Engage and collaborate with DeFi protocols, infrastructure providers, custodians, and chain operators to accelerate growth across the ecosystem.Collaborate Cross-Functionally: Work alongside engineering, business development, design, and marketing teams to transition new products from concept to launch and iterate swiftly.
Join our dynamic team at Sonsoft Inc. as a Test Data Management Specialist. In this pivotal role, you will be responsible for managing and optimizing test data processes to ensure the highest quality outcomes in our software development lifecycle.Your expertise in data management will be crucial in supporting the development team by providing accurate and timely test data, thereby enhancing our product testing efficiency. If you are passionate about data integrity and have a keen eye for detail, we want to hear from you!
Full-time|Remote|San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
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.
Full-time|$202K/yr - $303K/yr|Hybrid|San Francisco, CA
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.
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.
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.
Full-time|$200K/yr - $240K/yr|Hybrid|United States
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.
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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.
About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.
About UsAt Rox Data Corp, we are dedicated to empowering individuals to excel in their roles. Our innovative platform enhances sales processes through autonomous revenue agents, allowing sales professionals to concentrate on their core strengths: selling. Just as coding agents revolutionized engineering, our revenue agents significantly enhance customer engagement.We are pioneering the revenue stack with the world's first revenue operating system, integrating seamlessly from the application layer to the system of context. At Rox, humans evolve into orchestrators while our agents efficiently manage the complete customer lifecycle.Our solutions empower Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting top AI innovators like Ramp and Cognition.This success is rooted in our shared commitment to our mission, and we are determined to achieve it through unwavering dedication.The TeamOur world-class team is essential in redefining business operations. Team members have:Founded and exited successful companiesHeld senior positions at industry giants like Google, AWS, Confluent, and New RelicAchieved gold medals at IMO and IOIPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft Beautiful ExperiencesWe pay attention to every detail, ensuring that each interaction not only assists the seller but also enhances their overall experience. We pursue perfection, continually seeking to delight our users.Obsession: Commit UnreasonablyWe are proactive in adding value and responsive to customer needs. Our team is dedicated to continuous learning and improvement, striving to enhance both our skills and our product daily.Action: Get It DoneExecution is key; we prioritize thoughtful and swift decision-making to deliver results that build trust with our clients.
About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.
Join Loft Orbital as a Backend Engineer on our innovative Data Management Services (DMS) team, where you will play a crucial role in transforming satellite data into actionable insights.At Loft Orbital, our DMS team is responsible for the Cockpit backend services that efficiently transfer payload data from our satellites to our valued customers. You will collaborate with a dynamic team that develops and maintains systems for data ingestion from ground stations, ensuring data is processed, categorized, tracked, and delivered reliably to both internal tools and external endpoints.As part of your role, you will design and scale microservices and data pipelines that connect ground segment, satellite operations, and customer deliveries, turning raw data from orbit into useful products. You will work closely with backend developers, ground software engineers, flight software teams, space infrastructure experts, and customer operations personnel, directly impacting the speed and reliability of data delivery to our clients. We also provide SatDevOps training, allowing you to not only create the tools but also utilize them in spacecraft operations.If you are passionate about building backend systems that handle and transform satellite data at scale, and you enjoy both deploying code and observing its performance in real-world operations, we encourage you to apply.
Full-time|$210K/yr - $260K/yr|Hybrid|United States
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.
Apr 8, 2026
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