Data Analyst at Windfall | San Francisco

Join Windfall as a passionate Data & AI Specialist, where you will be the primary point of contact for our nonprofit clients seeking assistance with our innovative solutions. In this dynamic role, you will master Windfall’s offerings and provide invaluable support and insights to diverse organizations. We are looking for a creative problem-solver who excels at uncovering solutions, possesses exceptional attention to detail, and is driven by the success of our customers.At Windfall, our mission is to revolutionize the way organizations understand and utilize people data. We are committed to upholding our core values: (1) Communicate effectively; (2) Foster transparency; (3) Offer leverage over mere optimization; (4) Make a positive impact daily; and (5) Uphold integrity and trust.

At Windfall, we are dedicated to revolutionizing how organizations understand and utilize people data. Our advanced SaaS and AI platform empowers nonprofits and commercial entities to identify, comprehend, and engage with their most valuable prospects through top-tier data solutions.As a Market Development Specialist, you will be an essential link between our marketing initiatives and the sales team, significantly contributing to the acceleration of our revenue pipeline. Your primary responsibility will be to diligently follow up on, nurture, and qualify all inbound leads generated from our various marketing channels. This role is crucial for ensuring our sales team interacts exclusively with the most promising and best-prepared prospects.This is not an entry-level position. We seek a candidate with a proven track record in generating pipelines, crafting converting sequences, and operating independently at the top of the funnel. Ideal for a driven, intellectually curious professional eager to bridge the gap between human persuasion and AI-driven outreach. You will take charge of the top of our funnel by pursuing high-intent leads, managing post-event follow-ups, engaging AI-sourced accounts, and ensuring our sales team focuses their efforts where they matter most: in conversations with qualified opportunities. If you thrive on compelling copy, are eager to explore how AI is transforming go-to-market strategies, and are motivated to help build something impactful from the ground up, we encourage you to apply.Our mission is to redefine how organizations perceive and utilize people data, anchored in our core values: (1) Communicate excellently; (2) Operate transparently; (3) Provide leverage, not just optimization; (4) Make a meaningful difference daily; (5) Act with integrity and trust.

Join Windfall Data as a Customer Success Manager and become a vital strategic partner for our clients. In this role, you will ensure that customers derive maximum value from our innovative people data solutions. You will manage a portfolio of clients, guiding them through each stage of their journey, from onboarding to expansion. Your efforts will be pivotal in fostering Windfall’s growth through the establishment of scalable processes.At Windfall, we are dedicated to transforming how organizations utilize people data, grounded by our core values: (1) Communicate effectively; (2) Maintain transparency; (3) Focus on providing leverage, not just optimization; (4) Strive to make a meaningful impact daily; and (5) Uphold integrity and trust.

Join Windfall as a Product Operations Analyst, reporting directly to our VP of Product at our San Francisco headquarters. Collaborate with engineering, data science, and customer success teams to enhance internal processes, conduct analyses, and craft presentations that effectively communicate your findings to stakeholders.This position provides an excellent opportunity to hone your analytical skills while working alongside a talented team of Analysts, Data Scientists, and Engineers. Your contributions will generate meaningful insights that empower non-profits to surpass their donation targets and enable commercial companies to maximize their marketing ROI.At Windfall, we aim to transform how organizations leverage people data. We uphold our core values: (1) Communicate effectively; (2) Operate transparently; (3) Provide leverage instead of merely optimizing; (4) Make a daily impact; and (5) Act with integrity and trust.

About David AIDavid AI is a pioneering audio data research company that applies a rigorous R&D framework to data development, akin to that of leading AI labs. Our mission is to seamlessly integrate AI into everyday life, recognizing that audio serves as a natural interface. As the demand for advanced audio AI grows, the need for high-quality training data becomes critical—this is where David AI excels.Founded in 2024 by a talented team of former Scale AI engineers and operators, we have rapidly secured partnerships with major FAANG companies and AI laboratories. Recently, we raised $50M in Series B funding from prestigious investors like Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital, and others.Our team is composed of sharp, humble, and ambitious individuals who collaborate closely. We are eager to welcome the brightest minds in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About our Data Operations TeamThe Data Operations team is the powerhouse behind David AI's Data Factory, converting raw audio into exceptional training datasets for top AI labs. Our goal is to develop and manage new data pipelines on a grand scale.This entails starting with a model capability we aim to unlock, experimenting with various data shapes and collection strategies, and validating these approaches with researchers. Once we identify a successful method, we industrialize it by creating reliable, efficient, and high-quality audio processing pipelines. Our team thrives in ambiguous environments, adept at both prototyping innovative workflows and managing extensive production systems.About This RoleAs the Data Product Operations Lead, you will be instrumental in propelling the Data Factory at David AI. Your responsibilities will include designing and scaling pipelines that transform raw audio into valuable datasets for leading AI labs. You will take full ownership of data products from initial prototypes to large-scale implementations, actively building workflows, validating them with researchers, and ensuring their reliability at production levels.In This Role, You WillOversee the complete success of a data pipeline, from initial experiments to scaling up production systems that produce high-quality audio data in significant volumes.Design and operate pipelines that maintain reliability, quality, and efficiency while processing an extensive volume of audio data.

Join Windfall, a pioneering people data and AI company, where data science is at the heart of our mission. We are dedicated to transforming how organizations understand and leverage people data by equipping leading commercial and nonprofit partners with precise, actionable predictive models.We are seeking a product-focused Senior or Staff Data Scientist to be part of our Modeling & AI team. In this pivotal role, you will directly influence customer success by developing custom propensity models that tackle our clients' most pressing challenges. Collaborating closely with customer data and Windfall's extensive data resources, you will craft innovative solutions and create comprehensive modeling pipelines that convert data into tangible value.This position offers a unique chance to witness your contributions in action, working hand-in-hand with our clients to develop a range of models, from sophisticated marketing and lead scoring to donation likelihood models that enhance the missions of the world's leading nonprofit organizations.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

Join Fluency: Pioneering the Autonomous EnterpriseAt Fluency, we are on a mission to revolutionize enterprise intelligence. As an AI Data Engineer, you will be instrumental in constructing the data infrastructure that underpins our innovative solutions. Forget merely connecting dashboards; we are creating robust pipelines that extract, manage, and organize raw data from real-world workflows at an unprecedented scale.We seek an AI Data Engineer who will design and implement data systems crucial for our process conformance, productivity metrics, and AI impact assessment across leading Fortune 500 companies.The Challenge AheadYou will tackle the complexities of handling unrefined, real-world data signals such as screenshots, OCR text, application metadata, and user behavior events. Your goal will be to convert this unstructured data into actionable, reliable insights that our machine learning systems can utilize effectively, all while adhering to strict cost constraints.Core responsibilities include:Designing ingestion pipelines capable of processing millions of daily screenshots and behavioral events.Developing data validation and quality control systems to prevent model corruption due to data drift.Creating feature stores and serving infrastructure that balances data freshness with computational costs.Optimizing storage and querying for time-series behavioral data.Orchestrating intricate directed acyclic graphs (DAGs) that synchronize OCR, large language model (LLM) enhancements, and downstream aggregations.This is a groundbreaking role where you will define the playbook for data engineering in a rapidly evolving environment. Backed by top-tier venture capitalists like Accel, we are experiencing rapid growth and engagement with enterprises worldwide.You will collaborate closely with the founders and our engineering team, tackling technical challenges that encompass data engineering, LLM pipelines, and production systems.

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in creating versatile AI systems designed for optimal performance across various deployment platforms, including data center accelerators and on-device hardware. Our technology emphasizes low latency, minimal memory consumption, privacy, and dependability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are on the lookout for exceptional talent to join our team.The OpportunityThe Data team at Liquid AI drives the development of our Liquid Foundation Models, focusing on pre-training, vision, audio, and emerging modalities. With the stagnation of public data sources, the effectiveness of our models increasingly relies on specially curated datasets. We are seeking engineers with a machine learning mindset who can efficiently gather, filter, and synthesize high-quality data at scale.At Liquid AI, we regard data as a research challenge rather than an infrastructural issue. Our engineers conduct experiments, design ablations, and assess how data-related decisions impact model quality. We will align you with a team where you can experience rapid growth and make a significant impact, be it in pre-training, post-training reinforcement learning, vision-language, audio, or multimodal applications.While we prefer candidates in San Francisco and Boston, we are open to considering other locations.What We're Looking ForWe are in search of a candidate who:Thinks like a researcher and executes like an engineer: You should be able to formulate hypotheses, conduct experiments, and evaluate results. Our engineers produce research-level code while our researchers implement production systems.Learns quickly and adapts: You will be working in rapidly evolving modalities, so the ability to quickly grasp new domains and thrive in ambiguity is essential.Prioritizes data quality: We hold data quality in high regard; tasks such as filtering, deduplication, augmentation, and evaluation are key responsibilities, not afterthoughts.Solves problems autonomously: Data engineers operate within training groups (pre-training and multimodal). While collaboration is crucial, we expect ownership and self-direction.The WorkDevelop and maintain data processing, filtering, and selection pipelines at scale.Establish pipelines for pretraining, midtraining, supervised fine-tuning, and preference optimization datasets.Design synthetic data generation systems utilizing large language models (LLMs), structured prompting, and domain-specific generative techniques.

Join Bretton AI: Revolutionizing Financial SecurityBretton AI stands as the forefront AI agent platform dedicated to transforming the financial services sector. Trusted by industry leaders such as Robinhood, Mercury, and Gusto, we specialize in automating essential functions, primarily focusing on anti-money laundering and counter-terrorism investigations.With over $95 million raised from prestigious investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters is located in the vibrant heart of downtown San Francisco. Our exceptional team hails from renowned organizations like SpaceX, Google, Netflix, Stripe, and Plaid, bringing a wealth of experience and expertise.The OpportunityWe are on the lookout for a meticulous and analytical individual to enhance our AI Operations team. In this pivotal role, you will be at the forefront of ensuring peak performance of our AI agents, empowering banks and fintechs in their fight against financial crime on a large scale. Your responsibilities will include quality monitoring, feature testing, and direct collaboration with engineering and our clients to maintain optimal platform performance.This is a unique chance to gain insight into the functioning of cutting-edge AI systems in a production environment while making a significant contribution to global financial security.Your ResponsibilitiesPerform quality assessments of AI agents to meet compliance standards for banking and fintech sectors.Evaluate new features and custom logic prior to their deployment for clients.Analyze case data to uncover patterns, identify issues, and propose improvement opportunities.Collaborate with engineering teams to understand and assess the effects of system modifications.Acquire knowledge of advanced AI monitoring methodologies, including performance drift detection and human scoring pipelines.Provide operational insights and recommendations to our largest clients.Partner with product and engineering teams to translate operational findings into actionable platform enhancements.Path to SuccessMonth 1: Gain mastery of our AI platform and familiarize yourself with complex compliance workflows by shadowing seasoned team members and conducting initial case reviews.Month 2: Assume responsibility for operational support for major client implementations, executing comprehensive quality evaluations and collaborating with engineering to enhance system performance.Ongoing: Become the principal authority on AI operations, executing critical reviews that significantly influence product development and client success.

About David AIDavid AI is pioneering the audio data research landscape, applying a rigorous R&D approach to dataset development akin to the methodologies used in AI labs for model creation. Our goal is to integrate AI seamlessly into real-world applications, with audio serving as the perfect entry point due to its inherent versatility and human connection. As the audio AI field progresses, the demand for high-quality training data becomes critical, and that's where David AI excels.Founded in 2024 by a team of experienced engineers and operators from Scale AI, David AI has quickly gained traction, serving prominent clients among FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from esteemed investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies intelligence, humility, ambition, and a close-knit ethos. We are on the lookout for exceptional talent in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About Our Engineering TeamAt David AI, our engineering team is responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data for top AI labs and enterprises. We pride ourselves on our collaborative environment, comprising product engineers, infrastructure specialists, and machine learning experts dedicated to leading the charge in audio data research.We operate at a fast pace, taking ownership of our projects from conception through to production. Our team develops real-time processing pipelines capable of managing terabytes of audio data daily while deploying innovative generative audio models.About This RoleAs a Product Engineer at David AI, you will design and implement state-of-the-art tools that enable our users to leverage audio data effectively for training their AI models. You will collaborate closely with researchers to continuously refine our data collection methodologies.Your ResponsibilitiesDeliver full-stack features that will be utilized by thousands of users on a daily basis.Develop scalable systems that create essential data processing pipelines, extracting actionable insights from terabytes of audio data each day.Construct, deploy, and assess LLM and DSP-based solutions to enhance our clients' comprehension of intricate features within our datasets.Rapidly iterate on research hypotheses by collaborating with researchers and the operations team to deploy enhancements efficiently.

ABOUT KLEDAt Kled, we are pioneering the world's largest opt-in human data network. Unlike traditional labeling firms or task marketplaces, we are a consumer application that allows individuals to upload authentic photos, videos, and documents, earning continuous compensation for their contributions.We meticulously filter, standardize, and license this data to cutting-edge AI labs and enterprises seeking fresh, rights-aware training data. Since our mobile app launch in 2026, we've achieved remarkable milestones:Ranked #1 in the App Store (Finance category) without any paid marketing efforts.Expanded to over 200,000 active data contributors.Processed between 1.5 to 3 million uploads daily.Secured over $5 million in funding from notable investors associated with SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more.Our mission is straightforward: empower anyone to download our app and earn a sustainable living by sharing their data.ABOUT THE ROLEWe are seeking exceptional talent to join us in shaping the future of human data collection. If you are eager to democratize the data side hustle, we encourage you to apply.REQUIREMENTSShowcase your unique skills and demonstrate why you are a perfect fit for Kled. Candidates must be willing to relocate to or work full-time in San Francisco, CA.GROWTH OPPORTUNITYJoin a team at the forefront of applied AI data infrastructure. We operate at a fast pace and are committed to innovating every day of the week. In this role, you will:Manage core systems that support one of the largest human data networks globally.Design infrastructure that directly impacts the training of next-generation AI models.Work at true scale with millions of uploads daily from contributors around the world.Collaborate with a team experienced in creating marketplaces, AI systems, and products utilized by millions.If you are excited about rapid progress, building meaningful systems, and defining how human data drives advanced AI, we want to hear from you!

Join Our Innovative Team at Simple AIAt Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.

Join the Mercor TeamAt Mercor, we are pioneers at the crossroads of labor markets and artificial intelligence research. Collaborating with top AI labs and enterprises, we provide the crucial human intelligence that drives AI development.Our extensive talent network empowers more than 30,000 experts who collectively generate over $2 million a day, training cutting-edge AI models by sharing invaluable knowledge and context that goes beyond mere code. We are dedicated to establishing a new work paradigm where expertise fuels AI progress, and we are looking for driven individuals to join our ambitious and fast-paced team.As a profitable Series C company valued at $10 billion, Mercor emphasizes teamwork in our new San Francisco headquarters, where we work in-person five days a week.Your Role as a Data EngineerWe are seeking a passionate Data Engineer who can bring a full-stack perspective to our data functions. In this role, you will create and maintain robust data pipelines that support our Data Science, Engineering, and Product teams, ensuring seamless data flow across the Mercor organization.Your primary focus will be on data reliability, availability, and timeliness, working closely with our Data Science team and various partner functions to enhance our data capabilities.Key ResponsibilitiesDeveloping robust data pipelines to ingest, transform, and consolidate data from various sources, such as MongoDB, Airtable, and production databases.Designing dbt models and transformations to standardize and unify disparate data tables into clean, production-ready schemas.Implementing scalable and fault-tolerant data workflows using tools like Fivetran, dbt, SQL, and Python.Collaborating with engineers, data scientists, and business stakeholders to ensure data accuracy, availability, and usability.Owning data quality and reliability from ingestion to consumption across the data stack.Continuously monitoring and enhancing pipeline performance and scalability.QualificationsProven experience in data engineering, with strong proficiency in SQL, Python, and modern data stack tools such as Fivetran, dbt, Snowflake, or similar.Experience in building and maintaining large-scale data pipelines and workflows.Strong problem-solving skills and a collaborative mindset, with a focus on effective communication.

About Liquid AIFounded as a spinoff of MIT CSAIL, Liquid AI specializes in developing versatile AI systems designed for optimized performance across various deployment platforms, from data center accelerators to on-device hardware. Our commitment to low latency, minimal memory consumption, privacy, and reliability sets us apart. We collaborate with enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we seek remarkable talent to join our journey.The OpportunityAs we establish our solutions architecture function from the ground up, you will play a pivotal role as one of our inaugural Solutions Architects. Collaborating closely with the Head of Solutions Architecture and the go-to-market organization, you will manage customer engagements from inception to completion.Our models are specifically engineered for environments constrained by memory, latency, and power, encompassing edge devices, mobile applications, embedded systems, and on-premises infrastructure where traditional models cannot operate. You will engage with this boundary daily.Our clientele ranges from AI-native startups to established enterprises venturing into AI for the first time. Your mission is to bridge the gap between our models' capabilities and customers' expectations, delivering on that promise from technical validation through to go-live.

Join Saris AI as an AI Systems Engineer, where you will play a pivotal role in designing and implementing innovative solutions that leverage artificial intelligence technologies. You will collaborate closely with cross-functional teams to develop AI systems that enhance our products and services, driving impactful results for our clients.

Join Mercor as a Data ScientistAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. We collaborate with top-tier AI laboratories and businesses to infuse the human intelligence crucial for the evolution of AI.Our expansive talent network empowers frontier AI models, mirroring the way educators impart knowledge: sharing insights and experiences that transcend mere coding. Currently, our network boasts over 30,000 experts generating more than $2 million daily.We are pioneering a new work paradigm where specialized expertise drives AI progress. To realize this vision, we seek a dynamic, fast-paced, and dedicated team. You will collaborate with leading researchers, operators, and AI companies, playing a pivotal role in the systems that are reshaping society.As a profitable Series C company, Mercor is valued at $10 billion and operates from our new headquarters in San Francisco with an in-office work schedule five days a week.Your RoleIn your first year, you will implement analyses and experiments that enhance key product metrics, including match quality, time-to-hire, candidate experience, and revenue. Your responsibilities will include:Establishing north-star and feature-specific metrics for our ranking systems, interview analytics, and payout frameworks.Designing and executing A/B tests and quasi-experiments, translating results into product decisions within the same week.Creating source-of-truth dashboards and streamlined data models to enable teams to self-serve answers.Collaborating with engineers to instrument events, enhancing data quality and latency from ingestion to insights.Rapidly prototyping models (from baseline models to gradient boosting) to optimize matching and scoring.Assisting in the evaluation of LLM-powered agents through the design of rubrics, human-in-the-loop studies, and guardrail mechanisms.What Makes You a Great FitYou possess strong foundational skills in statistics, SQL, and Python, alongside projects you are eager to showcase. You adapt swiftly, frame inquiries, test hypotheses, and deliver results within a day, valuing clarity in communication as much as statistical significance. A keen interest in LLM evaluation, retrieval, and ranking is a plus; you will learn alongside professionals from renowned firms such as Jane Street, Citadel, Databricks, and Stripe.

Superhuman offers an engaging hybrid working model for this role. This flexible approach provides team members with a balance of focused time and in-person collaboration, fostering trust, innovation, and a vibrant team culture. Team members for this position must reside in the San Francisco Bay Area. About SuperhumanSuperhuman, now part of Grammarly, is an AI productivity platform dedicated to unlocking extraordinary potential in everyone. Our suite of apps and agents seamlessly integrates AI into over 1 million applications and websites, including Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that comprehends context and provides automatic assistance. Founded in 2009, Superhuman empowers more than 40 million individuals, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and explore our values here.The OpportunityTo achieve our ambitious goals, we are seeking skilled Data Scientists to join our Product and Growth Data Science teams. At Superhuman, data teams are regarded as trusted experts who reveal new insights to shape marketing, product, and growth strategies that drive significant outcomes across the organization. We have access to large datasets and are looking for individuals with exceptional technical and analytical abilities who can dissect complex business challenges and offer solutions that deliver high visibility and impactful results for the company.Growth Data Scientists collaborate closely with product, engineering, growth, and/or lifecycle marketing teams. They are tasked with designing and executing product experiments, as well as performing intricate analyses to guide product strategy through advanced analytics and machine learning. The ideal candidate will possess a proven record of delivering significant analytical projects within the Growth domain and working alongside cross-functional colleagues to influence decision-making.Product Data Scientists are responsible for assessing the quality of the Superhuman products, ensuring that our offerings are not only innovative but also user-friendly and effective.

About AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare. Our innovative AI-driven platform is designed specifically for medical conversations, streamlining clinical documentation and allowing healthcare professionals to concentrate on what truly matters—their patients.Our enterprise-grade technology converts patient-clinician discussions into structured clinical notes in real-time, with robust EMR integrations. Leveraging our unique Linked Evidence and auditable AI, we provide the only solution that aligns AI-generated summaries with factual data, enabling providers to trust and verify outputs efficiently. As trailblazers in generative AI for healthcare, we are establishing industry benchmarks for the ethical integration of AI across health systems.We are a dynamic team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers committed to empowering individuals and making healthcare more intelligible. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and Pittsburgh's East Liberty.The RoleJoin our rapidly expanding US-based Data Engineering team as a Data Engineer and play a pivotal role in revolutionizing the medical field with our generative AI products. In this essential position, you will design and optimize large-scale data infrastructure to inform business strategies and drive machine learning research.What You’ll DoDevelop and sustain scalable data services, pipelines, and storage solutions for the ingestion of unstructured application data for machine learning training and evaluation.Create and oversee OLAP databases, ELTs, and general data tools to support analytics, business decision-making, and product features.Collaborate closely with frontend and backend engineers, product managers, and analysts.Enhance data infrastructure to improve system throughput, latency, and reliability.Identify and resolve issues detected through data operation monitors, tools, and reports.Design data integration solutions and establish a data quality framework.What You’ll Bring5+ years of experience in Data Engineering or Backend Engineering focused on data systems.Proficiency in at least one general-purpose programming language (e.g., Python, Java, Scala) and SQL (any variant).Experience with at least one modern cloud service provider (GCP, AWS, Azure, etc.).