Developer Relations Specialist

About Chalk Chalk is revolutionizing the data landscape by constructing a powerful data platform designed for the next generation of machine learning applications. We simplify complexities, eliminate latency, and scale barriers that have historically limited ML capabilities. Our platform integrates Rust-speed performance with intuitive tools that developers …

Join our dynamic team at Sonsoft Inc. as an Informatica ETL Developer! In this pivotal role, you will leverage your expertise in ETL processes to design, develop, and maintain data integration solutions. Your contributions will be crucial in enhancing data workflows and supporting business intelligence initiatives. If you are passionate about data and looking to make a significant impact within a collaborative environment, we would love to hear from you!

Senior Software Engineer - Data AcquisitionOverview:Join the dynamic Data Acquisition team at OpenAI, where we spearhead the data collection efforts essential for powering our advanced model training operations. Our team plays a pivotal role in managing web crawling and GPTBot services, collaborating closely with Data Processing, Architecture, and Scaling teams. We are seeking a talented Senior Software Engineer to enhance our Data Acquisition initiatives.Key Responsibilities:Lead engineering projects focused on data acquisition, including web crawling, data ingestion, and search optimization.Collaborate effectively with cross-functional teams to maintain seamless data flow and system performance.Engage with the legal team to navigate compliance and data privacy regulations.Design and implement robust distributed systems capable of processing petabytes of data.Develop algorithms for efficient data indexing and search functionalities.Build and sustain backend services for data storage, including experience with key-value databases and data synchronization.Deploy solutions in a Kubernetes Infrastructure-as-Code environment while conducting regular system audits.Conduct experiments on data to derive insights that drive system enhancements.Qualifications:Bachelor's, Master's, or PhD in Computer Science or a related discipline.A minimum of 6 years of professional experience in software development.Prior experience with large-scale web crawlers is a significant advantage.In-depth knowledge of large stateful distributed systems and data processing techniques.Expertise in Kubernetes and familiarity with Infrastructure-as-Code practices.A proactive approach to exploring new technologies and methodologies.Strong ability to juggle multiple tasks and adapt to changing priorities.Excellent communication skills, both written and verbal.About OpenAI:OpenAI is at the forefront of artificial intelligence research and deployment, dedicated to ensuring that the benefits of general-purpose AI are shared by all of humanity. We strive to push the boundaries of innovation while adhering to ethical standards.

Join our dynamic team at Sonsoft Inc. as an ETL Tool Developer specializing in Talend! In this full-time position, you will play a critical role in designing, developing, and maintaining data integration solutions using Talend. Your expertise will help streamline data processes and contribute to our mission of providing innovative technology solutions to our clients.

At Fastly, we empower individuals to connect more effectively with the things they cherish. Our cutting-edge edge cloud platform enables customers 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. Tailored for modern internet demands, our platform is programmable and supports agile software development. We proudly serve many of the world's leading companies, including GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to build a more trustworthy Internet.Posting Open Date: Feb. 25, 2026Anticipated Posting Close Date*: March 25, 2026*Please note that this job posting may close early depending on the volume of applications.Role Overview:The Data Reliability team is seeking an experienced Senior Software Engineer to contribute to the development and support of next-generation data storage solutions at Fastly. The ideal candidate will possess expertise in backend and data services within cloud environments, proficiency with configuration and orchestration tools such as Terraform and Kubernetes, and the ability to create internal administration tools using Go and related technologies. Our team plays a vital role in ensuring the infrastructure, orchestration, and reliability of Fastly's most data-intensive applications, utilizing technologies like Terraform, Elasticsearch, ClickHouse, Prometheus, MySQL, and Redis across both cloud and hardware platforms. Your contributions will directly enhance our customers' success by providing product teams with a robust platform for efficient and consistent delivery of high-quality, high-throughput, globally distributed data systems and products. We embrace a distributed work model and value both collaborative and asynchronous communication styles.Key Responsibilities:Deploy, support, and maintain various critical data storage systems, scaling from gigabytes to petabytes.Develop statistics and dashboards to track service-level objectives for these systems.Create and manage tools for configuration, backup, and authenticated access to data systems employing peer review, CI/CD, and both daemon- and container-based deployment strategies.Write high-performance, maintainable, and concise code, actively participating in code reviews to enhance the codebase.

Join our team as a Senior Software Engineer focused on our Data Platform at Gusto. In this role, you will leverage your expertise in designing and building scalable data systems that drive business decisions and enhance our platform's capabilities. Your contributions will directly impact our ability to deliver exceptional services to our customers.You will collaborate with cross-functional teams, ensuring that our data architecture is robust, efficient, and aligned with our business goals. If you are passionate about data engineering and are looking for a place to innovate and grow, we want to hear from you!

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.

The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.

At Gong, we leverage cutting-edge AI technology to revolutionize how revenue teams achieve success. Our Gong Revenue AI Operating System seamlessly integrates data, insights, and workflows into one reliable platform, empowering the world's leading revenue teams to observe, guide, and act with unparalleled effectiveness. With the Gong Revenue Graph at its core, our AI-driven intelligence, specialized agents, and trusted applications support over 5,000 companies globally, enabling them to gain deeper insights into their teams and customers, automate essential sales processes, and close deals with greater efficiency. For additional information, visit www.gong.io.Joining Gong means becoming part of a dynamic organization driven by innovation, ambitious aspirations, and dedicated individuals. We are at the forefront of shaping the future of revenue intelligence and seek those who are eager to contribute to what's next. Collaborate with a team that dreams big, moves swiftly, and values craftsmanship and camaraderie. Transparency and trust are fundamental to our operations, and every team member has the chance to make a significant impact. If you are ready to grow, challenge yourself, and engage in meaningful work, Gong is where you can achieve the pinnacle of your career.The GTM Data Architect is responsible for the comprehensive strategy, governance, and execution of data orchestration, enrichment, control, and activation within the GTM organization. This key role guarantees that data is not only accurate but also usable, scalable, and seamlessly integrated into workflows that enhance adoption and performance. You will act as the primary owner of account and lead data strategy, connecting RevOps, Field Ops, Systems, Sales, Marketing, and AI/Automation teams to establish a forward-thinking, execution-ready data foundation.

About UsAt Passage, we are dedicated to developing innovative technology that bridges the gap between talent and opportunity, utilizing cutting-edge advancements in AI complemented by human insight.We believe that access to opportunities should not be dictated by factors such as geography, gender, or financial status. Through our subsidiary, Passage Funding, we assist international students by offering financial support to ensure education is accessible and affordable.Our mission is clear and ambitious: by 2030, we strive to eliminate barriers that hinder exceptional individuals from obtaining the opportunities they rightfully deserve.The RoleWe are on the hunt for a Director of Data to architect and nurture the data infrastructure at Passage. This pivotal position involves crafting systems that transform our operational data into a dependable framework that the entire organization can rely on.You will wear two hats: that of a technical architect and a strategic planner. You thrive on designing data systems from scratch, taking chaotic operational data and converting it into structured platforms that facilitate improved decision-making across the organization.From your first day, you will collaborate closely with leaders from various departments including engineering, growth, credit, finance, product, and operations. You will be responsible for designing the company's data architecture, constructing pipelines and analytical models, and establishing the metrics that will steer Passage’s operations.We pride ourselves on being a lean team that values ownership and agility. There is no rigid hierarchy, and growth potential is limitless. We seek someone who is eager to develop the data brain of the company, implement best practices, and eventually assist in expanding the data team as Passage continues to scale.Key ResponsibilitiesEstablish the Data FoundationDesign and maintain the analytics layer of Passage's data platform.Construct scalable data models and transformation layers to empower analytics across the business.Define canonical metrics for the company and ensure alignment across teams.Create dashboards and analytical frameworks for leadership to assess performance and inform business decisions.Collaborate with data engineering to enhance data integrity and accessibility.

Front Careers seeks a Senior Data Engineer based in San Francisco, CA. This position centers on building and maintaining data systems that power analytics and reporting throughout the organization. Key responsibilities Design and maintain data architecture to meet analytics and reporting requirements Develop, optimize, and support data pipelines for reliability and scalability Collaborate with teams across the company to improve data quality, accessibility, and security Enhance and maintain the data infrastructure supporting company operations Role overview This role focuses on ensuring that data flows efficiently and securely, enabling teams to access the information they need for business decisions. The Senior Data Engineer will play a central part in shaping how data is managed and used at Front Careers.

About Us:At Notion, we empower teams to create stunning tools tailored for their unique workflows. In a digital landscape filled with countless applications and tabs, Notion stands out as the singular platform where teams can consolidate their efforts—effortlessly merging documents, notes, projects, calendars, and emails, all enhanced with AI to expedite processes and uncover insights. Our diverse user base, ranging from individuals to giants like Toyota, Figma, and OpenAI, appreciates Notion for its versatility, efficiency, and cost-saving capabilities.Collaboration is at the heart of Notion's culture. To foster this, all team members are required to work from our offices on Mondays, Tuesdays, and Thursdays, which we refer to as Anchor Days. Certain teams may have additional in-office requirements.About The Role:As Notion experiences rapid growth, we are on the lookout for skilled Data Engineers to join our dynamic team. Your role will involve constructing foundational datasets and pipelines that bolster our go-to-market initiatives. You will play a pivotal role in integrating our product and business systems, establishing robust processes that drive our success. If you have a passion for analytics, data modeling, and unraveling intricate data challenges, we would love to have you on board.What You'll Accomplish:Develop core datasets that serve as the authoritative sources for Notion’s marketing and sales reporting, ensuring seamless data flow between business systems and our product.Collaborate closely with our Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence, and Data Science teams to fulfill critical reporting and analysis needs.Design, implement, and oversee pipelines that address current demands while being capable of scaling alongside our expanding data landscape.Promote accessibility to high-quality data across go-to-market teams, staff, and the organization at large.Required Qualifications:Minimum of 3 years of experience as a Data Engineer, focusing on building core datasets and supporting various business verticals, particularly in high-data-volume product and business environments. A strong enthusiasm for analytics, data models, and solving complex data challenges is essential.Proven experience working with Marketing and Sales datasets within a SaaS context, including integrations with business systems such as Salesforce, Netsuite, Marketo, and Zendesk.Self-motivated individual who proactively gathers and synthesizes impactful business needs, designing and implementing effective data solutions.

About UsAt Speak, we are on a mission to revolutionize language learning.Learning a new language can transform lives, unlocking opportunities in diverse cultures and careers. With two billion individuals striving to master a language, traditional one-on-one tutoring remains out of reach for many and hasn’t evolved significantly in decades. At Speak, we are developing an AI-powered, human-like tutor that fits in your pocket, providing a conversation-first experience that encourages learners to speak, receive immediate feedback, and progress through meticulously crafted lessons. The outcome is a comprehensive journey from novice to fluent speaker across numerous languages.Since our inception in South Korea in 2019, Speak has ascended to become the leading language learning app, now catering to learners across multiple markets in over 15 languages. As one of the world’s foremost AI companies, we have secured over $150 million in venture funding from partners such as OpenAI, Accel, Founders Fund, and Khosla Ventures, with a globally distributed workforce spanning San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.In the role of Head of Data & Analytics, you will architect and lead a premier data organization that fuels product innovation, growth strategies, and data engineering initiatives at Speak. You will craft and implement a comprehensive strategy that ensures data-driven decision-making across the organization, enhancing our infrastructure, improving data accessibility, and driving tangible business results for millions of learners worldwide.

About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.

About UsAt Imprint, we're on a mission to revolutionize co-branded credit cards and financial products, creating smarter, more rewarding experiences that prioritize brand identity. We collaborate with industry leaders like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to design innovative credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our cutting-edge platform seamlessly integrates advanced payment solutions, intelligent underwriting, and user-friendly design, enabling brands to offer powerful financial products without the need to become a bank.Co-branded credit cards represent over $300 billion in annual expenditure in the U.S., yet many are still rooted in outdated banking systems. Imprint stands as the modern alternative: adaptable, technology-driven, and designed for today’s savvy consumers. Supported by prominent investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to reshape payment methods and drive brand growth. If you're eager to work in a fast-paced environment, tackle challenging problems, and make a significant impact, we want to hear from you!Discover more about our innovations on Imprint's Technology blog.Our TeamThe Data Engineering team at Imprint is pivotal in constructing and scaling our data infrastructure, which underpins product development, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that empower our stakeholders to trust and utilize our data effectively.Your RoleAs a Senior Data Engineer, you will be responsible for designing and implementing our data platform, addressing our most challenging technical issues. You will lay the groundwork for Imprint's upcoming decade of growth by scaling our infrastructure for rapid expansion, providing insights that inform multi-million dollar decisions, facilitating secure partner data sharing, and transforming how our teams leverage data. Join us in building a platform that not only meets today's demands but also anticipates future opportunities.Key ResponsibilitiesInfrastructure Development & ScalingDesign and optimize our next-generation data platform, leveraging tools such as Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise-level scalability.Create secure and compliant partner data delivery systems utilizing Snowflake shares, S3/SFTP integrations, and Marketplace listings.Develop critical financial reporting pipelines ensuring exceptional accuracy and reliability.Pursue Technical ExcellenceImplement best practices in data engineering, ensuring robust data governance and security.Collaborate with cross-functional teams to enhance data accessibility and usability.

We are seeking a talented Big Data Architect to join our dynamic team at Sonsoft Inc. in San Francisco. In this role, you will be responsible for designing and implementing robust data architectures that support our data-driven initiatives. You will work closely with cross-functional teams to ensure that our data architecture aligns with business goals and delivers high-quality data solutions.

Role Overview Trustly is seeking a Chief Data Officer based in San Francisco, CA. This executive will guide the company’s data strategy and champion data-driven decision making across the organization. The position oversees a skilled team focused on extracting insights from data to improve operations and support growth. Key Responsibilities Lead the development and execution of Trustly’s data strategy Manage and mentor a team dedicated to data insights and analytics Drive initiatives that improve operational efficiency through data Oversee data management, analytics, and governance practices Optimize data architecture for scalability and reliability Ensure compliance with all relevant data regulations What Matters Here Proven experience in data management and analytics leadership Strong background in data governance and regulatory compliance Ability to translate data insights into business value Experience building and guiding high-performing teams

Join our dynamic team at Cayuse Talent Solutions as an Azure Data Architect. We are seeking a highly skilled professional with a proven history of developing scalable and efficient data platforms on Azure. This role involves leading architectural projects and providing expert guidance on Azure data services.Key Responsibilities:Oversee the architectural design and implementation of various data projects.Act as a Subject Matter Expert (SME) on Azure data services.Design data schemas using Azure Synapse.Establish a secure, scalable, and high-performance Azure environment.Devise comprehensive data platform designs and architectures.Ensure compliance with data governance and access control standards.Translate complex business requirements into actionable data strategies.Guide clients through data workshops to achieve their business objectives.Serve as a trusted advisor to customers.Utilize your knowledge of Big Data architectural patterns to inform decision-making.Work effectively in an agile environment and drive optimization initiatives for the Data Platform.Engage in presales activities with a proven track record.

Join 360itprofessionals as a Business Intelligence Developer and contribute to our innovative projects that drive data-driven decisions. We are looking for a passionate individual with a solid background in BI tools and data analysis. This is an exciting opportunity to work remotely and collaborate with a talented team in a dynamic environment.

Join us at SF Compute, where we are redefining the future of infrastructure development. Our mission is to de-risk the most extensive infrastructure build-out in history.In the world of GPU financing, successful data centers require robust contracts before construction begins. Our innovative approach allows companies to secure 'offtake' agreements, ensuring that clusters are leased before they are built.Navigating the complexities of GPU cluster financing entails managing significant risks. With thin profit margins and massive volumes, lenders are hesitant to shoulder the risk of cluster developers defaulting on loans. Consequently, we shift this risk to clients through fixed-price long-term contracts.Without effective risk mitigation, the potential for a market bubble increases. Unlike SaaS models where companies offer monthly subscriptions, data center clients must secure long-term contracts. A small miscalculation in revenue growth can drastically impact the viability of a business.Our solution is a liquid market for GPU offtake, making high-performance computing accessible to all, including startups that cannot commit to extensive contracts.About the Role:As the Director of Site Selection at SF Compute, you will play a pivotal role in deploying large GPU clusters across various colocation facilities and new builds. You will be responsible for identifying and securing sites, from established colocation centers to promising greenfield opportunities.This position is crucial for successful project delivery and collaboration within the SF Compute Development Team. The role is based at our headquarters in San Francisco, with some travel expected. To apply, candidates must submit a portfolio showcasing prior data center projects or transactions.