Innovative Data Contributor Role at Kled | San Francisco, CA

About the RoleJoin our dynamic team at OpenAI as a Data Scientist within the People Innovation Labs. This innovative engineering team is integrated into our People organization and is dedicated to redefining our strategies for attracting and retaining exceptional talent while empowering every individual to excel in their roles.From enhancing recruitment processes to fostering a vibrant company culture, we are developing systems and products that provide our People Team with a competitive advantage by integrating OpenAI's models and first-principles thinking into all facets of our operations. Our initiatives range from pioneering projects like OpenHouse, our internal knowledge hub, to AI-driven automations and scalable recruiting solutions. We are shaping the future of work at OpenAI, crafting a model for how AI can enhance productivity, culture, and innovation.In this role, you will collaborate closely with Product and Engineering teams to ensure that our endeavors yield measurable business results.

At Perplexity, we embody the future of AI, bringing transformative solutions to people who demand more. Our data team is at the forefront of this revolution, strategically integrating AI into every facet of our operations.We seek a passionate individual with a strong background as a data scientist, analytics engineer, or data engineer. You understand the significance of key metrics, can expertly design A/B tests that address core questions, dive deep into data models to solve discrepancies, and are eager to take on the challenge of building AI systems that will revolutionize the data science landscape.This is not just another text-to-SQL bot or a simple dashboard. You will create AI agents capable of conducting comprehensive analyses autonomously, from hypothesis formation and query execution to result interpretation and actionable recommendations. Your work will ensure that our entire data warehouse is accessible to AI systems, enabling precise queries across the board. You will develop self-healing data pipelines that proactively identify and resolve issues before they disrupt workflows. In doing so, you will empower our small data team to operate with the efficiency and output of a much larger organization.Join a forward-thinking data team that is already leveraging AI to enhance its processes, with full support from leadership to expand these efforts. Together, we will build a world-class team focused on creating scalable systems, innovative tools, and an AI-centric working environment that not only elevates our standards but also drives the entire industry forward.

Airtable is the leading no-code app platform that empowers individuals closest to their work to expedite critical business processes. Over 500,000 organizations, including 80% of the Fortune 100, depend on Airtable to revolutionize their workflows.At Airtable, we are dedicated to democratizing software development—enabling anyone to create powerful, adaptable tools without needing to code. Our transition to an AI-native platform allows customers to generate complete applications and seamlessly integrate AI agents into their operations. Data engineering is pivotal in this transformation, providing the insights necessary for our teams to enhance user experiences, gauge agent effectiveness, and assess business performance on a large scale.As a Data Engineer at Airtable, you will play a vital role in our data engineering initiatives. You'll design and manage essential data pipelines that facilitate informed decision-making, collaborate with company leaders to develop scalable data solutions, and implement innovative alerting and visualization systems.

At Padlet, we're passionate about creating software that fosters effective education. Our mission is to ignite curiosity, creativity, and a sense of community through visual content creation and collaboration across millions of classrooms globally.Each position we offer has emerged from the recognition that there are unique talents out there that can elevate our efforts in ways we may not have envisioned. If you believe you can contribute in a significant way, we encourage you to apply. We are excited to learn more about you.Please note that this is a full-time, in-person role at our San Francisco office. We value open-mindedness, but we do have specific requirements.

Join Our Team as a Driver and Data CollectorAre you ready to be part of a dynamic team that plays a crucial role in data collection? At Service Measure (SM), we specialize in gathering essential information where automation falls short. Founded in 2013 in New York, our dedicated teams operate across North America and Europe, tackling exciting challenges every day.Project Overview:We are seeking enthusiastic drivers to participate in a project aimed at testing new features of an online mapping application during both day and night operations. The role involves navigating urban environments with high traffic alongside a co-pilot, while meticulously documenting app performance and usability in a spreadsheet using a tablet or laptop. Your insights will drive improvements for our client.New hires will undergo a comprehensive one-day remote training session. All project-related expenses will be fully covered, including vehicle rental, fuel, parking, and tolls. This project will run for 3-4 weeks, with a typical schedule from Monday to Friday, working 7-8 hours per day, primarily between 9 AM and 5 PM. Each team member will be assigned approximately five routes daily.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

At Workstream, we are dedicated to revolutionizing the way hourly workers are managed through our comprehensive HR, payroll, and hiring platform. With 2.7 billion hourly workers comprising 80% of the global workforce, we believe this segment deserves innovative technology tailored to their unique needs. Our platform is designed from the ground up to empower businesses and their employees to flourish.Our esteemed clientele includes industry leaders such as Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. As a rapidly growing Series B company, we are expanding our offerings to fulfill our ambitious vision, supported by renowned venture capitalists and industry veterans like Founders Fund, BOND, and Coatue.Contribute to the Future of Robotics While Earning Income!We are seeking enthusiastic participants to capture video recordings of daily activities at home while wearing a head-mounted camera. These recordings will be instrumental in advancing robotics technology by teaching machines how to perceive and engage with real-world environments. You will document routine tasks such as folding laundry, preparing meals, cleaning, and organizing items. If you are meticulous, comfortable with everyday tasks, and interested in earning additional income while contributing to groundbreaking robotics research, we would love to collaborate with you!What You Will Do:Your primary responsibility will be to record 20-40 hours of video footage each week, focusing on intentional and clear arm, hand, and finger movements as you interact with various objects and your surroundings (for instance, folding clothes or using tools), avoiding unproductive activities like typing or scrolling on a phone.You will be expected to upload your footage to a designated Google Drive on a weekly basis and conduct basic quality checks on your recordings.

About UsAurora Innovation is dedicated to safely and swiftly bringing the advantages of self-driving technology to the world. Our innovative Aurora Driver is set to usher in a transformative era in mobility and logistics, ensuring a future that is safer, more efficient, and accessible for everyone.At Aurora, you’ll engage with complex challenges alongside a team of passionate and intelligent individuals, enhancing your expertise while broadening your knowledge base. Stay updated with our latest developments by visiting aurora.tech or following us on LinkedIn.Aurora seeks talented individuals from diverse backgrounds who are eager to contribute to a transportation ecosystem that enhances road safety, ensures timely delivery of vital goods, and promotes efficient and accessible mobility for all. We are currently looking for a Senior Manager, People Programs.The People Organization plays a crucial role in our business, supporting the teams that bring the Aurora Driver to life. We are in search of a dynamic and proactive Senior Manager, People Programs to guide our Program Management team and spearhead essential initiatives throughout the People Organization.This multifaceted and impactful role is tailored for a systems thinker who thrives in dynamic environments. You will serve as a versatile asset to the People team, leading significant transformations in one quarter and managing a portfolio of high-impact, shorter-term initiatives in the next. Whether collaborating with Training & Development, People Business Partners, or People Operations and Analytics, your objective remains consistent: to convert strategies into executed realities.

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 our dynamic team at tvScientific as a Senior Data Engineer. In this role, you will play a pivotal part in shaping our data infrastructure, enhancing our analytics capabilities, and driving data-driven decision-making across the organization. You will collaborate closely with cross-functional teams to implement innovative data solutions that support our strategic objectives.

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

Join Crusoe as a Senior Data Engineer, where you will play a critical role in enhancing our data infrastructure and analytics capabilities. You will be responsible for designing, developing, and maintaining robust data pipelines to support our cutting-edge applications.As a key member of our engineering team, you will work closely with data scientists and analysts to ensure that data is accessible, accurate, and actionable.

The Office of the Chief Revenue Officer (CRO) at OpenAI shapes global go-to-market strategy, drives commercial growth, and forges key customer relationships. This team brings together Sales, Marketing, Product, and Research, ensuring the revenue organization stays agile and focused. Their work connects strategy with execution, strengthens OpenAI’s presence in high-stakes meetings, and relies on clear communication and innovative AI tools as the company grows. Role overview The Visual Storytelling & Innovation Lead will transform how the Office of the CRO communicates and operates. This position blends storytelling, design, and technology, managing executive narratives and leading early experiments with new OpenAI products. The role supports both strategic and operational projects, turning ideas into engaging stories and testing how new tools can enhance productivity and collaboration. Collaboration is central: the Lead works closely with leaders in Sales, Marketing, Product, and Communications, and partners directly with the CRO and Chief of Staff to translate high-level goals into compelling narratives and executive-ready materials. Work in this role shapes how OpenAI engages top customers, aligns teams across the revenue organization, and helps accelerate deal cycles through effective storytelling. Key responsibilities Create narratives and presentation designs for strategic events, executive briefings, and important customer meetings led by the CRO. Translate complex product strategies and customer insights into clear, persuasive visual and written stories. Showcase OpenAI’s capabilities with product demonstrations and interactive experiences that bring stories to life. Location This position is based in San Francisco.

About the RoleJoin our dynamic Marketing Innovation team as a Data Scientist, where you will play a pivotal role in developing innovative internal tools and systems that revolutionize our marketing strategies and enhance customer engagement.Our mission is to create product-like systems that:Provide personalized, consultative experiences to millions of SMB customers through intelligent lifecycle and sales interactions.Tailor messaging, creative solutions, and outreach based on real-time behavioral insights.Facilitate intelligent routing, targeting, and engagement at scale, minimizing the need for manual intervention.In this position, you will collaborate closely with Product and Engineering teams to ensure that our systems deliver measurable business value.What You’ll DoEstablish success metrics for marketing systems (e.g., incremental pipeline generated, conversion improvements, efficiency gains), incorporating leading indicators for ongoing refinement.Create measurement and experimentation frameworks for continuous systems across lifecycle automation, creative generation, targeting, and routing, employing methods like holdouts, staged rollouts, and quasi-experimental designs.Collaborate with Product Managers and engineers to track, assess, and analyze system launches, ensuring every significant release is observable and accurately evaluated for incremental impact.Convert behavioral and model-driven insights into strategic decisions: determining what to scale, identifying intervention points, and optimizing resource allocation across segments.Develop repeatable decision-making processes (pre-launch criteria → post-launch evaluation → subsequent actions) that translate analysis into tangible improvements.What We’re Looking ForA minimum of 10 years of experience in a quantitative role (e.g., Data Science, Decision Science), ideally within a product-focused organization fostering B2B growth, with familiarity in SMB or scaled self-service models.Strong foundation in experimentation, causal inference, and applied statistics, with a track record of designing and interpreting tests in real-world, always-on environments.Proficient in SQL and Python, with the ability to work with complex, incomplete behavioral datasets to assess impact.Demonstrated success in translating findings into impactful decisions (product development, lifecycle management, targeting, routing).Excellent communication skills to convey complex data insights to diverse audiences and stakeholders.

About Pinterest Pinterest helps millions of people worldwide discover new ideas, try fresh possibilities, and collect inspiration for their lives. The company’s mission is to empower individuals to curate a life they love, starting with a talented and diverse team. Pinterest values innovation and encourages employees to fuel growth for millions. Team members are supported in turning passion into opportunity, and the company celebrates different backgrounds while offering flexibility to help everyone do their best work. AI plays a central role at Pinterest, serving as a partner to boost creativity and impact. The hiring process focuses on both foundational skills and how candidates collaborate with AI. For more on Pinterest’s approach to AI in hiring, see this overview. About tvScientific tvScientific is a leading CTV advertising platform built for performance marketers. The platform uses large-scale data and advanced technology to automate and optimize TV advertising, helping businesses achieve measurable results. Media buying, optimization, measurement, and attribution all work together in a single solution. The team behind tvScientific includes experts in programmatic advertising, digital media, and ad verification, building tools for advertisers focused on business growth. Role Overview: Staff Data Engineer The Staff Data Engineer will lead the design, implementation, and improvement of identity services and the data governance platform at tvScientific. This role is critical for maintaining data integrity, privacy, and governance across the company. The position involves working at the intersection of data engineering, identity resolution, privacy, and platform reliability. As an individual contributor, the Staff Data Engineer will help define and carry out the strategic vision for data engineering within the organization. Location San Francisco, CA, US or Remote, US

Join Philo: The Ultimate Streaming Experience for TV and Movie EnthusiastsAt Philo, our technology and product teams are on a mission to revolutionize television. We blend cutting-edge technology with the most captivating medium ever created to craft the TV experience we’ve always desired. Our approach involves utilizing cloud delivery, modern tech stacks, machine learning, and bespoke native app experiences across all platforms. We prioritize delivering a robust streaming experience while innovating future-ready multi-screen and multi-user playback solutions.The Role of Data at PhiloData is at the heart of Philo's operations. It informs our business decisions, enhances our streaming quality, drives product experiments to refine user journeys, and simplifies content discovery for our viewers. With over a billion streams annually, we harness an immense data reservoir that influences every facet of our organization. Our data platform operates on a grand scale, processing trillions of events each year through a petabyte-scale data lake, facilitating thousands of data workflows and analytical queries that guide our strategic direction.We seek innovative individuals for our Data team who are eager to tackle diverse projects related to engagement, content discoverability, experimentation, acquisition, and retention within our streaming service. Collaborating closely with data scientists, analysts, and engineers, you will create and implement solutions directly for our platform. Your work will encompass foundational data platform tasks, including data warehouse architecture, metric governance, and ensuring semantic consistency throughout our data pipeline, as well as insights and modeling efforts that deliver tangible business value. Additionally, you will partner with stakeholders from various departments to understand business requirements, construct reliable data pipelines, and provide actionable insights that empower the entire team to excel.We are driven by a passion for problem-solving and delivering data-driven insights across the company. Our work leverages both innovative techniques and established practices in collaboration with every department. We utilize modern open-source tools such as dbt, GrowthBook, Robyn, Superset, and PyTorch, alongside SaaS solutions like Segment, Redshift, Snowflake, SageMaker, AWS Glue, Mode, Omni, Avo, and BigEye.Recent projects undertaken by our Data Science team include:

Join Crusoe as a Senior Data Scientist, where you'll leverage data to drive impactful decisions and innovations. As a part of our dynamic team, you will play a crucial role in analyzing complex datasets, developing predictive models, and contributing to our mission of transforming data into actionable insights. You will collaborate with cross-functional teams to enhance our products and services, ensuring they align with our strategic goals.

At Fastly, we empower individuals to forge deeper connections with the things they cherish. Our cutting-edge edge cloud platform enables clients to swiftly, securely, and reliably craft exceptional digital experiences by processing, serving, and safeguarding their applications as close to their end-users as possible — right at the edge of the Internet. This platform is tailored to leverage the modern internet, is highly programmable, and supports agile software development methodologies. Our clientele includes renowned global brands, such as GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: March 13th, 2026Anticipated Posting Close Date*: May 30th, 2026*Job posting may close early due to the volume of applicants.Data EngineerAs part of Fastly's Analytics team, you will empower leaders across the organization with actionable data that drives essential business decisions. We are focused on expanding and enhancing our premier internal data platform. In your role as a Data Engineer, you will play a pivotal part in transforming our data infrastructure, optimizing data pipelines on Google Cloud Platform (GCP), scaling the ingestion of complex data sources, and adhering to best practices for performance and reliability. This is your chance to contribute to significant projects within a dynamic, collaborative, and innovative workspace, supporting data scientists, analysts, and business analysts across our organization.