Staff Product Analyst - Workday Total Rewards & HCM

Empower Every Identity, from AI to HumanAt Okta, we believe that identity is the cornerstone for unlocking the potential of artificial intelligence. Our mission is to secure AI by crafting a reliable, unbiased infrastructure that allows organizations to confidently embrace this transformative era. We seek innovators and leaders who tackle intricate challenge…

Join Air Apps as a Data AnalystAt Air Apps, we are driven by innovation and a commitment to excellence. Founded in 2018 in Lisbon, Portugal, and now flourishing in San Francisco, our family-owned company is on a mission to revolutionize personal and entrepreneurial planning through our groundbreaking AI-powered Personal & Entrepreneurial Resource Planner (PRP). With over 100 million downloads globally, we pride ourselves on our self-funded success and long-term vision.We aim to redefine resource management and empower individuals worldwide. As a Data Analyst, you will play a crucial role in analyzing data to inform strategic decisions that enhance our product offerings and user experiences.

About the RoleAnyscale is actively seeking a Senior Product Manager to spearhead the development of Ray Data, our innovative and scalable data processing library tailored for Machine Learning (ML) and Artificial Intelligence (AI) workloads.This position presents a unique opportunity to navigate the challenges of merging open-source growth with commercial innovation. You will drive rapid adoption within the open-source Ray Data ecosystem while simultaneously crafting powerful proprietary features for RayTurbo Data, our advanced commercial engine.As the steward of the Ray Data product roadmap, you will collaborate closely with engineering teams, sales, enterprise clients, and the open-source community. Success in this role hinges on your ability to:Immerse yourself in the end-user experience to identify product gaps and trade-offsEngage with customers and open-source users to expertly balance growth and commercializationStrategically assess the ML/Data lifecycle, pinpointing where our architectural strengths can deliver maximum valueArticulate a clear and compelling product strategy to stakeholdersKey ResponsibilitiesLead the Ray Data product strategy - Harmonize development of open-source features with the distinctive capabilities of RayTurbo Data to solidify Ray Data's position as the open-source standard for AI data processing.Enhance open-source Ray Data adoption - Prioritize community engagement, developer experience, and ecosystem partnershipsMarket Positioning & Enablement - Collaborate with Product Marketing on strategic positioning, enablement for sales teams, and conducting competitive analysis to ensure ongoing differentiation.Customer Engagement - Foster critical customer relationships to support sales and field engineering efforts.Required Qualifications3+ years of experience in product management, specifically with technical productsRobust technical expertise in distributed systems, ML infrastructure, or data processingProven experience engaging with both developer and enterprise audiencesStrong strategic thinking skills with the ability to manage competing priorities and stakeholder expectationsExcellent communication skills for articulating vision and strategy

About TaskRabbit:TaskRabbit is a dynamic marketplace platform that seamlessly connects individuals with Taskers to take care of everyday tasks, including furniture assembly, handyman services, moving assistance, and much more.At TaskRabbit, our mission is to transform lives one task at a time. We celebrate innovation, inclusivity, and dedication. Our workplace culture is collaborative, pragmatic, and fast-paced. We're in search of talented, entrepreneurially-minded, data-driven individuals who are passionate about empowering others to pursue their passions. In partnership with IKEA, we're creating more opportunities for individuals to earn a consistent and meaningful income on their own terms by fostering lasting relationships with clients in communities worldwide.TaskRabbit operates as a hybrid company with team members distributed across the US and EU, and we are proud to be recognized as a Built In — Best Places to Work (2022, 2023, 2024) in multiple national and regional categories. Join us at TaskRabbit, where your work is impactful, your ideas are valued, and your potential is unleashed!This role follows a hybrid schedule, requiring two days of in-office collaboration each week. You can work from either our San Francisco office or our new New York City office, set to open in April 2026.

Join our team at Sonsoft Inc. as a Facets Test Data Management Analyst, where you will play a pivotal role in enhancing our data management processes. This position involves working closely with cross-functional teams to ensure the integrity and accuracy of test data used in our Facets systems. You will be responsible for analyzing data requirements, developing test data strategies, and executing test plans to support our software development lifecycle.

About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

Data Analyst (Life Sciences Specialist)Compensation: Direct hire ranging from $125,000 to $210,000Position Highlights:Fully remote position, with a preference for candidates on the West CoastJoin a highly regarded team of Biotech and Life Sciences expertsSpecialize in Data Analysis for Go-to-Market Strategies in Life Sciences, including Operations, Delivery, Distribution Channels, and Market AccessFocus on serving prestigious top-tier Biotech clients primarily located on the West CoastIdeal Candidate Profile:Minimum of 3 years of consulting experience with Biotech companies, particularly in operations, marketing, pricing, forecasting, and market accessBachelor’s Degree in a relevant field is requiredStrong analytical skills with a solid foundation in data analysisExperience as a Business Analyst or Project ManagerAble to manage multiple projects efficientlyDetail-oriented with a passion for research and data interpretationProficient in Microsoft PowerPoint and ExcelExceptional verbal presentation skillsPersonable and able to build rapport with diverse individualsWillingness to travel to client sites on the West Coast (up to 20%)

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. To date, the Waymo Driver has successfully completed over ten million rides, driven more than 100 million miles autonomously on public roads, and conducted tens of billions of miles in simulation across more than 15 U.S. states.As part of our mission, Waymo's Data Science team plays a crucial role in ensuring the safety and reliability of our autonomous driving technologies. By utilizing data analysis and statistical methods, we evaluate and enhance the Waymo Driver, concentrating on critical aspects such as reliability, driving quality, and safety. As a Business Intelligence Analyst, you will contribute to the development of a robust data infrastructure that supports key reporting and analytics for our Data Science team.

About Plaud Inc.Plaud is on a mission to create the world's most reliable AI work companion for professionals, enhancing productivity and performance through innovative note-taking solutions. Since its inception in 2023, Plaud has garnered a community of over 1,500,000 users globally. Our vision is to amplify human intelligence by developing next-generation infrastructure and interfaces that capture, extract, and utilize insights from what individuals say, hear, see, and think.Based in San Francisco, Plaud Inc. operates as a Delaware-incorporated entity, driving the frontier of human–AI intelligence with a unique hardware–software integration. We prioritize data security and privacy, proudly holding certifications for ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031.To discover more about us, visit https://www.plaud.ai and connect with us on Instagram, X, Facebook, LinkedIn, and YouTube.

About UsWho We Are at StripeStripe is a leading financial infrastructure platform empowering businesses of all sizes—from major global corporations to innovative startups. Our objective is to enhance the GDP of the internet by providing the tools necessary for companies to accept payments, increase revenue, and seize new commercial opportunities. Join us in our ambitious mission to shape the future of the global economy, where your contributions will play a pivotal role in transforming financial landscapes.Bridge, our groundbreaking payments platform utilizing stablecoins, is designed to streamline global money transfers. We facilitate quicker, more economical payments and promote seamless access to U.S. dollars through stablecoins. With our advanced APIs, businesses can conduct cross-border transactions more efficiently than traditional systems like SWIFT. Our virtual accounts allow international users to effortlessly manage and utilize U.S. dollars, while our payout framework enables platforms to distribute USD worldwide. We envision a future where trillions of dollars flow through stablecoin payment networks, and Bridge is at the forefront of this evolution.About the TeamThe Stripe Finance & Strategy team serves as a vital partner to Stripe's key operational leaders. We provide insights and predictability to Stripe's financial performance, collaborating across various departments to optimize resource allocation and enhance long-term financial sustainability. This role involves close collaboration with Bridge, a dynamic team of experts in financial infrastructure.Your RoleWe are seeking a detail-oriented and strategic Data & Finance Analyst to join the Stripe Finance & Strategy team. As an early member of the agile Bridge data and finance team, you will integrate data analytics, financial analysis, and strategic planning to define, evaluate, and forecast the operational metrics that propel Bridge's growth. Your insights will drive initiatives from conception to execution, collaborating with both Bridge and Stripe Finance & Strategy to provide context and clarity to Bridge's financial performance. This high-impact role offers expansive exposure across both Bridge and Stripe, perfect for those who thrive in dynamic environments.

Join Cloudflare as a Data Center Services Analyst, where you will play a crucial role in supporting our global data center operations. In this hybrid position, you will collaborate with diverse teams to ensure optimal performance and reliability across our infrastructure. Your expertise will be instrumental in managing data center services and responding to queries effectively.You will have the opportunity to work in a dynamic environment that encourages innovation and growth, contributing directly to our mission of helping to build a better Internet.

Why join usBrex is revolutionizing the way businesses manage their finances through our AI-powered spend platform. We empower companies to spend confidently with our integrated corporate cards, banking solutions, and global payment capabilities, alongside intuitive software designed for travel and expenses. Our platform is trusted by tens of thousands of businesses, from startups to enterprises, including industry leaders like DoorDash, Flexport, and Compass, to proactively control spending, reduce costs, and enhance operational efficiency on a global scale.Joining Brex means pushing your limits, challenging the status quo, and collaborating with some of the brightest minds in the tech industry. We are committed to building a diverse team and fostering an inclusive culture where your potential is only limited by your ambition. We provide you with the tools, resources, and support necessary for your career growth.Data at BrexThe Data organization at Brex is dedicated to developing insights, models, and robust data infrastructure for various teams across the company, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers collaborate to make data—and the insights derived from it—a vital asset for the entire organization.What you’ll doAs a Data Analyst II, you will play a pivotal role in enhancing the operational tracking and reporting capabilities across diverse business teams at Brex. Collaborating closely with Data Scientists and Data Engineers, you will generate impactful insights through visualizations, self-service tools, and ad-hoc analyses, making this a high-impact role in a dynamic fintech environment where your contributions will directly influence strategic decisions.Where you’ll workThis position is based in our San Francisco office. We embrace a hybrid work environment that combines the energy and connections of in-office work with the flexibility of remote arrangements. Currently, we require a minimum of three coordinated in-office days per week (Monday, Wednesday, and Thursday), while also offering up to four weeks of fully remote work annually!ResponsibilitiesUtilize your data visualization and storytelling skills to create business intelligence solutions (such as Looker and/or Hex dashboards) that provide actionable insights.Conduct ad-hoc analyses and deep dives to answer business inquiries, uncover trends, and deliver data-driven recommendations.Develop self-service data tools and processes that empower stakeholders to independently monitor their performance and metrics.

Join Front, a pioneering customer operations platform tailored for the intricacies of B2B interactions. Our innovative technology synchronizes teams, tools, and customer conversations, enabling businesses to scale while maintaining strong connections. Unlike others that handle simple tasks, Front excels in orchestrating the nuance and context of complex B2B customer relationships. Trusted by over 9,000 organizations, including industry leaders like Uber Freight, Navan, and Stripe, Front is uniquely positioned to empower customer-facing teams to succeed.With the backing of prominent investors such as Sequoia Capital and Salesforce Ventures, we've raised $204M from top venture capital firms and influential executives from companies like Atlassian, Okta, and Zoom. Recognized as a great workplace, Front has garnered accolades including Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, and #4 on Fortune’s Best Workplaces in the Bay Area™.We are seeking a talented Senior Product Data Analyst to join our San Francisco office. In this pivotal role, you will merge data insights with product strategy, utilizing analytics to guide impactful business and product decisions. Your responsibilities will include conducting thorough analyses throughout the product development lifecycle, identifying opportunities, assessing experiments, and establishing key performance metrics to drive our product vision forward.

Coframe is developing adaptive user interfaces to help businesses interact with technology more intelligently. The team is building what it calls the world's first AI Growth Engineer, with the goal of changing how companies think about growth and engagement. Coframe’s work has been recognized by organizations such as OpenAI and Replit. Role overview The Data Analyst will partner with clients to deliver insights, reports, and analysis that shape important business decisions. This position supports both Coframe’s internal teams and client-facing projects, playing a central role in the company’s growth. What makes Coframe unique Experienced team: Work alongside industry veterans, including a founder who previously co-founded a unicorn with Tom Brady and teaches AI at Stanford. Rapid growth: Coframe has posted 120% growth quarter over quarter, with its AI Agents driving measurable improvements in marketing strategies. Strong backing: Supported by investors such as Khosla Ventures and Nat Friedman. OpenAI partnership: The only marketing technology company with an official partnership with OpenAI. Location This role is based in the San Francisco Bay Area.

About NumeralNumeral is revolutionizing the tax compliance landscape for digital businesses, alleviating the complexities of navigating regulations across 47 states and over 50 countries. Our mission is to empower teams to concentrate on their core objectives by eliminating these burdens.As the largest and fastest-growing AI-driven tax solution, Numeral launched in 2023 and has successfully raised over $57 million from esteemed investors including Benchmark, Mayfield, and Y-Combinator. Currently, we proudly serve over 2,500 paying customers while consistently tripling our revenue year over year.While our primary hiring locations are in our San Francisco and New York offices, we also offer remote positions in select cases.About the Role:As a Data Analyst at Numeral, you'll play an integral role within our operations team, focusing on reconciling customer data, enhancing data quality, and advancing our platform's intelligence and scalability. Collaborating closely with Engineering, Product, and Customer Experience teams, your contributions will ensure that customers have access to clean, actionable data and seamless onboarding experiences.This is a pivotal role with significant influence, allowing you to shape our data utilization strategies across the organization—free from bureaucratic constraints, you will experience true ownership and tangible results.What You'll Do:Reconcile financial and transactional data from various sources to facilitate accurate and repeatable sales tax filings.Standardize customer data across platforms (e.g., Stripe, Shopify, Numeral API) to maintain integrity in tax workflows.Collaborate with Sales, Engineering, Product, and Solutions teams to identify and resolve onboarding data issues.Assist customer-facing teams with ad hoc data inquiries, investigations, and insights.Develop internal tools and processes to enhance reconciliation and improve onboarding efficiency.Enhance the fidelity and performance of our DBT pipelines and contribute to the evolution of our broader data architecture.

Join Two Dots to enhance the financial landscape:At Two Dots, we are on a mission to revolutionize the way financial profiles are constructed. Each time an individual applies for a mortgage, auto loan, or rental agreement, they provide financial documents that help shape their financial identity. The accuracy and fairness of these profiles are crucial for the overall health of the economy.We are developing an innovative system that leverages conversational interfaces to engage with consumers and streamline the often cumbersome document collection process in loan and lease origination. Our goal is to ensure that evaluations of applicants are both consistent and just, mitigating unseen fraud and assisting applicants in navigating their complex financial situations. We aim to reveal value in non-traditional applications that might otherwise be overlooked.Role OverviewWe are seeking a Data Analyst to convert complex data into insightful recommendations that will inform product strategy and drive business growth. As a rapidly expanding, YC-backed Series A company, you will collaborate closely with our product, engineering, and business teams to analyze underwriting data, assess product performance, and pinpoint areas for enhancement.You will serve as the primary expert on the real-world performance of our AI-driven underwriting system, transforming intricate datasets into clear visual representations and actionable recommendations that will influence our product development roadmap.What You'll DoDevelop SQL queries to extract, transform, and analyze data from our Postgres and BigQuery databases.Create dashboards and visualizations that simplify complex underwriting metrics for product and business stakeholders.Derive product insights by examining user behavior, conversion funnels, and underwriting performance.Collaborate with product and engineering teams to define and monitor key performance indicators, conduct A/B testing, and evaluate feature impacts.Detect trends and anomalies in application data to enhance risk models and product features.Generate reports that clearly communicate findings to both technical and non-technical audiences.Assist business development with data-driven presentations and ROI analyses for enterprise clients.What We're Looking ForProficiency in SQL and experience with data visualization tools.Strong analytical skills with a focus on deriving actionable insights.Ability to communicate complex concepts to diverse audiences.Experience working in a fast-paced, collaborative environment.Familiarity with financial data and product metrics is a plus.

About UsAt Hyperbolic Labs, we are driven by the vision of democratizing artificial intelligence. Our mission is to dismantle the barriers to computing power through our Open-Access AI Cloud. By aggregating computing resources worldwide, we have developed a groundbreaking GPU marketplace and AI inference service that emphasizes affordability and accessibility. As pioneers at the convergence of AI and open-source technology, we envision a future where AI innovation is limited only by imagination and not by resource availability. We seek forward-thinking individuals who share our commitment to making AI universally accessible, secure, and affordable. Join us in creating a platform that empowers innovators everywhere to realize their visionary AI projects.As we gear up for expansion following our Series A funding, our team — led by co-founders with PhDs in AI, Mathematics, and Computer Science — is set to redefine the computing landscape.Role OverviewWe are in search of our inaugural data analytics hire to lay the groundwork for our rapidly evolving GPU marketplace. In this impactful role, you will collaborate closely with our leadership team to define, develop, and deliver key metrics that inform business decisions across the organization. You will serve as a bridge between our highly technical AI infrastructure and the business's needs, transforming intricate data into actionable insights.Given our data-centric compute marketplace, we require a candidate who can grasp the complexities of our marketplace, work autonomously to produce precise metrics, and effectively communicate insights to stakeholders. This is an opportunity to shape our data analytics function from the ground up, with a clear trajectory toward a leadership position as our team grows.

Join our innovative team as a Data Analyst, where you'll play a pivotal role in transforming data into actionable insights that drive decision-making and strategy. This is an exciting opportunity for individuals who are passionate about data analytics and want to contribute to the success of a leading company in the talent acquisition space.At Lever, we are committed to redefining the hiring process for top-tier companies such as Netflix, Shopify, and Spotify. Our cutting-edge software empowers organizations to hire effectively and efficiently. We take pride in our reputation as the #1 place to work in San Francisco and are dedicated to fostering a people-first culture that values collaboration and growth.Test

About Scribd:At Scribd Inc., we are driven by a singular mission: to ignite human curiosity. Join our dynamic team as we craft a universe filled with stories and knowledge, democratizing the sharing of ideas and fostering collective intelligence through our innovative products: Everand, Scribd, Slideshare, and Fable. This job posting represents an actively approved role within our organization.We cultivate a culture where authenticity and boldness thrive; where we encourage debate and commitment as we navigate the twists and turns of creativity; and where every team member is empowered to take initiative, always prioritizing our customers.Our workplace structure emphasizes a harmonious blend of individual flexibility and community engagement. Our unique Scribd Flex program allows employees to partner with their managers to choose a work style that best aligns with their personal needs. A cornerstone of Scribd Flex is the emphasis on intentional in-person interactions that foster collaboration, culture, and connection. Consequently, occasional in-person attendance is expected from all Scribd employees, regardless of their location.What do we seek in our new team members? We value “GRIT”—the powerful intersection of passion and perseverance towards achieving long-term goals. We believe in the potential this unlocks and encourage every employee to approach their work with a GRIT-ty mindset. This means we're looking for individuals who can set and reach Goals, deliver Results in their responsibilities, present Innovative solutions, and positively influence the larger Team through collaboration and a positive attitude.About the Data Platform Team:The Data Platform team at Scribd is at the forefront of building data pipelines, storage architectures, and development tools that empower analytics, experimentation, machine learning, and product features across Scribd, Everand, and Slideshare. We are currently engaged in a multi-year initiative to modernize our data architecture, ensuring fully governed and well-modeled data that all teams can rely on.At Scribd, we leverage deep data insights to drive every facet of our business—from product innovation and experimentation to comprehending subscriber engagement and key metrics. You will be joining a dedicated data engineering team tackling complex challenges and making a significant impact across our organization.

At Magic, we are on a mission to create safe AGI that propels humanity forward in tackling the world's most pressing challenges. We believe that the key to achieving safe AGI lies in automating research and code generation, allowing us to enhance models and ensure alignment more reliably than human capabilities alone. Our innovative approach integrates frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and advanced inference-time computing to realize this vision.About the Role:We are seeking a passionate individual to spearhead developer experience and data tooling within our pre-training data team. This role involves creating internal tools and infrastructure that enhance team productivity, including dashboards, command-line interfaces (CLIs), data exploration UIs, and the systems that interconnect them.Focusing on developer experience and tooling, we need someone who enjoys solving problems, deploying solutions quickly, and experimenting with new ideas.Potential Projects:Lead tooling initiatives across the architecture: develop systems, implement continuous integration, create CLI utilities, and design internal web interfaces.Design internal tools for dataset exploration, data labeling, quality assessment, and data inventory management.Enhance data infrastructure ergonomics—optimizing IO patterns in Ray/dataflow jobs, improving dataset tracking, and enhancing pipeline observability.Spot opportunities by engaging with the team, understanding their challenges, and proactively refining workflows.Elevate standards for code organization, packaging, and engineering best practices.What We Are Looking For:Preferred QualificationsSolid foundation in software engineering principles.Genuine interest in developer experience and best practices for code organization.Effective communicator, adept at collaborating with teammates to understand their requirements.Proactive mindset—identifies issues and implements solutions.Local to San Francisco (this role requires in-office attendance).Ideal Background (in order of importance)Open source contributor—experience with tools similar to Ruff, uv, or other developer-centric projects.Experience in build systems and CI—has developed or overseen build systems, CI pipelines, or developer tools on a large scale.Data pipeline experience—understanding of optimizing data workflows and data handling.