Salesforce Engineer - Lead to Opportunity, Data Systems Engineer

About Our TeamAt OpenAI, our mission is to develop safe artificial general intelligence (AGI) that benefits all of humanity. This ambitious goal unites some of the brightest scientists, engineers, and business professionals in a collaborative environment aimed at achieving groundbreaking advancements.The Enterprise Platform team is pivotal in supporting our …

Join Cloudflare as a Principal Systems Engineer, Data, where you will lead innovative projects that enhance our data processing capabilities. You will work collaboratively with cross-functional teams to design, implement, and optimize systems that efficiently handle large-scale data. This role requires a deep understanding of systems engineering principles, strong analytical skills, and a passion for leveraging data to drive decisions. Your contributions will be pivotal in shaping the future of our data infrastructure.

Located in San Francisco, Arine is an innovative and rapidly expanding healthcare technology and clinical services firm dedicated to delivering the safest and most effective treatments tailored to the evolving needs of individuals.In the healthcare landscape, medications can sometimes do more harm than good. The mismanagement of drugs and dosages results in over $528 billion wasted annually in the U.S. healthcare system. Arine is transforming healthcare standards by addressing these challenges through our advanced software platform (SaaS). We leverage state-of-the-art data science, machine learning, AI, and deep clinical knowledge to create a patient-centered approach to medication management, facilitating the development and delivery of personalized care plans at scale for patients and their healthcare teams.At Arine, we are passionate about enhancing the lives and health of complex patients who significantly influence healthcare costs and have been historically difficult to reach. These individuals face a myriad of challenges, including complex medication prescriptions across various providers, chronic disease medication management, and barriers to accessing care. Supported by top healthcare investors and partnerships with leading healthcare organizations, we provide actionable recommendations and initiate clinical interventions that yield substantial health improvements for patients and cost savings for our clients.Why Choose Arine as Your Workplace?:Collaborative Team Culture - Our shared mission drives our collective efforts, inspiring us to excel in our work. We are passionately committed to the innovation necessary to lead in medication intelligence.Impactful Contribution to Healthcare - We are saving lives and empowering individuals to achieve better health outcomes.

CoreWeave is The Essential Cloud for AI™. Designed by innovators for innovators, CoreWeave provides a robust platform of advanced technology and exceptional teams, empowering organizations to confidently build and scale AI solutions. As a trusted partner for leading AI labs, startups, and global enterprises, CoreWeave integrates unmatched infrastructure performance with extensive technical expertise, driving innovation and transforming compute capabilities into actionable results. Since its inception in 2017, CoreWeave has rapidly advanced, becoming a publicly traded company (Nasdaq: CRWV) in March 2025. Explore more at www.coreweave.com.What You’ll Do:Description of the TeamThe IT Business Systems (GTM) team at CoreWeave is responsible for the application stack that facilitates the entire customer journey—from lead generation to quoting and cash collection. This team designs and manages systems that underpin a rapidly growing AI cloud business, collaborating closely with Revenue Operations, Marketing Operations, Finance, Billing, and Customer Experience to deliver scalable, compliant, and automated workflows.About the role:As a Senior Salesforce Engineer, you will take on a pivotal role as a hands-on technical leader, tasked with designing, building, and operating Salesforce solutions across Sales Cloud, Revenue Cloud/CPQ, and GTM integrations. You will tackle high-impact projects including post-acquisition system integrations, the implementation of a new usage-based billing platform, and enhancements within quoting, forecasting, and revenue operations. This role demands deep expertise in CPQ workflows while also overseeing broader platform architecture and integrations with finance and GTM systems. You will work cross-functionally with GTM, Finance, and IT leadership to create scalable, dependable solutions that position CoreWeave for continued success.

Zyphra is a cutting-edge artificial intelligence firm located in the heart of San Francisco, California, dedicated to advancing technology across various modalities.About the Position:We are seeking a Data Engineer - Multimodal Systems to play a pivotal role in the enhancement and expansion of Zyphra's datasets and data pipelines. This position offers a unique opportunity to collaborate with diverse teams and contribute to innovative data solutions. You will engage in the collection of extensive datasets and the development and optimization of high-performance parallel data pipelines.Your Responsibilities Will Include:Executing large-scale data collection across multiple modalities, including text, audio, and image.Designing and implementing highly efficient, parallelized data processing pipelines that integrate various modalities.Conducting rigorous experimental ablations to evaluate the effectiveness of new data enhancements.Candidate Requirements:Proven ability in implementation and prototyping.Capability to transform ideas into experimental frameworks swiftly.Strong collaborative skills, thriving in a dynamic research environment.Eagerness to learn and apply new concepts effectively.Exceptional communication and teamwork skills, capable of contributing to both research and large-scale engineering projects.Preferred Qualifications:Experience in the collection, management, and processing of large datasets.Familiarity with parallel programming frameworks in Python, such as Dask.In-depth understanding of state-of-the-art dataset curation practices.A detail-oriented mindset with a passion for data integrity and verification.Strong foundation in experimental methodologies for conducting thorough ablation studies and hypothesis testing.Knowledge and interest in large-scale, highly parallel data processing systems.Proficiency in PyTorch and Python.Experience with large, complex codebases and the ability to quickly become productive within them.Published research in respected machine learning venues.Postgraduate degree in a relevant field is a plus.

As a Lead Engineer specializing in Data and Integrations at onoshealth, you will play a pivotal role in driving innovation and improving healthcare solutions through effective data management and system integrations. You will lead a team of talented engineers, oversee complex projects, and work closely with stakeholders to ensure the delivery of high-quality solutions that meet our clients' needs.

Join Cloudflare as a Systems Engineer specializing in Data, where you will play a critical role in enhancing our infrastructure and ensuring the reliability of our services. You will collaborate with cross-functional teams to design, implement, and maintain systems that handle vast amounts of data efficiently and securely. Your contributions will be pivotal in optimizing performance and delivering exceptional user experiences.

Mixpanel’s GTM Systems & Tools team supports Sales, Marketing, and Finance by developing and maintaining a reliable CRM, automating workflows, and evaluating tools that align with the company’s go-to-market strategy. This group collaborates closely with growth and data teams to advance Mixpanel’s technical architecture and vision. Role overview The Sales Systems Engineer works in a hybrid capacity from San Francisco or New York City. This role serves as a technical partner for stakeholder teams, engaging in the full software development life cycle. Key responsibilities include understanding business needs, translating them into technical requirements, and implementing solutions that address those needs. Regular communication with teams and stakeholders is required to gather requirements, clarify challenges, and ensure that business objectives are met. This position directly supports Mixpanel’s revenue goals and contributes to the company’s growth. What you will do Design and build secure, scalable solutions on the Salesforce CRM platform, using automations such as Flows, validations, and security settings Advise stakeholders on new projects, enhancements, and bug fixes related to Salesforce Maintain current knowledge of Salesforce architecture and development best practices Support the efficiency and scalability of GTM teams and tools, including Co-pilot, Clari, Outreach, and others

At Databricks, we are driven by a passion for empowering data teams to tackle the world’s most challenging problems — from transforming transportation to accelerating medical innovations. We achieve this by creating and maintaining the leading data and AI infrastructure platform, enabling our clients to leverage profound data insights for business enhancement. Founded by engineers with a customer-first mentality, we eagerly embrace every opportunity to tackle complex technical challenges, ranging from the design of next-generation UI/UX for data interactions to scaling our services across millions of virtual machines. Our journey has just begun.As a member of the Runtime team at Databricks, you will be instrumental in developing the next generation of distributed data storage and processing systems. These systems will surpass specialized SQL query engines in relational query performance while offering the programming abstractions necessary to support a variety of workloads, from ETL to data science.Example projects include:Apache Spark™: Contribute to the de facto open-source standard framework for big data.Data Plane Storage: Develop reliable and high-performance services and client libraries for managing vast amounts of data within cloud storage backends like AWS S3 and Azure Blob Store.Delta Lake: Design a storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, providing features like ACID transactions and time travel.Delta Pipelines: Simplify the orchestration and operation of numerous data pipelines, enabling clients to deploy, test, and upgrade pipelines effortlessly.Performance Engineering: Create the next-generation query optimizer and execution engine that is fast, scalable, and robust.

Join Cloudflare as a Senior Systems Engineer specializing in our Data Platform. In this pivotal role, you'll be responsible for designing and implementing scalable systems that process vast amounts of data, ensuring performance and reliability across our services. Your expertise will drive innovative solutions that enhance our platform capabilities.

Join The Trade Desk as a Senior Enterprise Engineer - Salesforce, where you will play a key role in optimizing our Salesforce platform. Your expertise will help enhance our enterprise solutions, ensuring seamless integration and functionality across departments.In this dynamic position, you will lead initiatives to improve Salesforce capabilities, work collaboratively with cross-functional teams, and drive innovative projects that align with our business goals. If you are passionate about technology and have a strong background in Salesforce, we encourage you to apply!

Join Cloudflare as a Distributed Systems Engineer within our dynamic Data Platform team, focusing on Analytics and Alerts. In this position, you will play a pivotal role in building and optimizing distributed systems that power our data analytics capabilities, providing real-time insights and alerts to enhance our customer experience.

Join Shield AI as a Senior Lead Data EngineerAt Shield AI, we are on a mission to safeguard both service members and civilians through the power of intelligent systems. As a leading venture-backed deep-tech company founded in 2015, our innovative products, including the V-BAT and X-BAT aircraft, Hivemind Enterprise, and Hivemind Vision product lines, are making a global impact. With operations spanning the U.S., Europe, the Middle East, and Asia-Pacific, our technology is pivotal in supporting missions worldwide.As a Senior Lead Data Engineer, you will play a crucial role in developing a cutting-edge financial enterprise reporting and analytics platform for our complex, R&D-intensive, multi-billion-dollar organization. Your responsibilities will encompass architecting and implementing secure, scalable, and cost-efficient data systems within Microsoft Fabric, enhancing Finance, FP&A, Accounting, Program Management, and Executive reporting.This position transcends traditional ETL development. You will take charge of cloud architecture decisions, establish data modeling standards, integrate advanced analytics readiness into the platform, and ensure our systems are designed with auditability, governance, and scalability in mind. Collaborating within a lean team, you will bridge engineering, analytics, and applied data science to drive significant impact.Your efforts will establish the foundation of a mission-critical analytics platform that informs executive decision-making, improves forecast accuracy, ensures compliance reporting, and facilitates scalable AI adoption. The impact of your work will resonate throughout the organization, directly influencing cost control, capital allocation, and operational insight.

Join Cloudflare as a Distributed Systems Engineer focusing on our Data Platform, where you will play a pivotal role in developing analytics and alert systems that enhance our services. You will collaborate with a talented team to design scalable and efficient systems to manage and analyze vast amounts of data. Your work will directly impact the performance and reliability of our offerings, ensuring our customers have the best possible experience.

About the TeamJoin our Online Data team, where we design and maintain the foundational online database and indexing services for OpenAI’s cutting-edge AI applications. We support the phenomenal growth of ChatGPT, the leading AI application globally, as well as Codex, the fastest-growing development toolset.Our mission is to uphold the reliability, accuracy, and scalability of our extensive online data infrastructure, enabling product and research teams to innovate swiftly without getting entangled in complex multi-region, multi-cloud, exabyte-scale data systems.About the RoleWe are on the lookout for an Engineering Manager to spearhead our Online Data Systems team. This role entails guiding a talented group of engineers dedicated to developing and managing hyperscale data storage and retrieval technologies.You will oversee the execution of highly complex engineering tasks in areas such as distributed query execution, multi-region data federation, self-orchestrating services, performance optimization, and more.This is a unique opportunity to shape cutting-edge technology at an unprecedented scale, where you won’t just be another cog in the machine but will have a significant impact on our trajectory.In this role, you will:Build, lead, and develop high-performing infrastructure engineering teams.Drive the advancement of OpenAI’s proprietary online data technologies, including our core database systems, indexing technologies, and vector search capabilities.Establish delivery metrics based on measurable reliability goals (SLOs, etc.) to ensure superior system performance and resilience.Advocate for the efficient use of agent technology to enhance execution speed.Minimize operational burdens and incident occurrences through improved abstractions and self-healing systems.You might thrive in this role if you:Possess a relentless pursuit of operational excellence, with hands-on experience in building...

At Exa, we are on a mission to create a cutting-edge search engine from the ground up, tailored specifically for AI applications. Our team is dedicated to developing large-scale infrastructure that efficiently crawls the internet, trains advanced embedding models for indexing, and constructs high-performance vector databases in Rust for optimized searching. We also manage a state-of-the-art $5M H200 GPU cluster that activates thousands of machines simultaneously.As a Software Engineer specializing in Distributed Data Systems, you will be responsible for designing and implementing the data infrastructure that drives our operations—from crawling billions of web pages to training sophisticated embedding models and delivering real-time search functionalities. You will enjoy significant autonomy in creating systems capable of scaling to hundreds of petabytes. This is your opportunity to work on data pipelines at an unprecedented scale.

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world’s most challenging problems, from security threat detection to cancer drug development. Our mission is to build and operate the leading data and AI infrastructure platform, enabling our customers to concentrate on the high-value challenges that are integral to their own objectives. Founded in 2013 by the original creators of Apache Spark™, Databricks has rapidly evolved from a small office in Berkeley, California, to a global powerhouse with over 1000 employees. Trusted by thousands of organizations, from startups to Fortune 100 companies, we are recognized as one of the fastest-growing SaaS companies worldwide. Our engineering teams create highly sophisticated products that address significant needs in the industry. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, consisting of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from these challenges. Modern data analysis leverages advanced techniques, such as machine learning, that far exceed the capabilities of traditional SQL query engines. As a Software Engineer on the Runtime team at Databricks, you will be instrumental in developing the next generation of distributed data storage and processing systems that outshine specialized SQL query engines in relational query performance, while providing the flexibility and programming abstractions to support a variety of workloads, from ETL to data science. Examples of projects you may work on include: Apache Spark™: Contributing to the de facto open-source framework for big data. Data Plane Storage: Developing reliable, high-performance services and client libraries for storing and accessing vast amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, featuring low latency streaming. Its higher-level abstractions and guarantees, including ACID transactions and time travel, significantly reduce the complexity of real-world data engineering architectures. Delta Pipelines: Aiming to simplify the management of data engineering pipelines.

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.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable and steerable representations of enterprise data.We build trust through our product Crunch, a policy-driven health layer that ensures large tabular datasets remain efficient, reliable, and reversible. On this solid foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures in order to provide trustworthy answers and automation with inherent provenance and governance.Our MissionAI is currently hampered not only by the design of models but also by the inefficiencies of the data that supports them. Every redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste as we scale.Granica aims to eliminate these inefficiencies. We merge cutting-edge research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructures: systems that consistently enhance the representation and utilization of information by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari of Stanford University, bridging advancements in information theory and learning efficiency with large-scale distributed systems. Together, we firmly believe that the next major advancement in AI will stem from breakthroughs in efficient systems rather than merely larger models.Your ContributionsGlobal Metadata Substrate: Design a transactional and metadata substrate that facilitates time-travel, schema evolution, and atomic consistency across massive petabyte-scale tabular datasets.Adaptive Engines: Develop systems that autonomously reorganize data, learning from access patterns and workloads to maintain peak efficiency without the need for manual tuning.Intelligent Data Layouts: Optimize bit-level organization (including encoding, compression, and layout) to maximize signal extraction per byte read.Autonomous Compute Pipelines: Create distributed compute systems that scale predictably, adapt to dynamic loads, and ensure reliability under failure conditions.Research to Production: Apply new algorithms in compression, representation, and optimization that emerge from ongoing research. We encourage opportunities to publish and open-source your work.Latency as Intelligence: Design systems that inherently minimize latency as a measure of intelligence.

About Us:At Notion, we empower individuals and teams to create stunning productivity tools tailored to their unique workflows. In a digital landscape crowded with applications and tabs, our platform unifies documents, notes, projects, calendars, and emails—all enhanced with AI capabilities to streamline tasks and provide quick insights. Trusted by millions, including industry leaders like Toyota, Figma, and OpenAI, Notion is chosen for its versatility, helping users optimize their time and resources.We believe in the value of in-person collaboration, making it a cornerstone of our company culture. To foster teamwork, all employees are required to work from our San Francisco office on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Certain roles may necessitate additional in-office presence.About The Role:As our company expands at an impressive pace, we are on the lookout for skilled Data Engineers to join our finance team. In this role, you will be instrumental in constructing robust datasets and data pipelines that underpin our financial reporting. Your work will bridge our product, financial, and operational systems, creating reliable processes that drive our growth. If you have a passion for data analytics, complex modeling, and innovative problem-solving, we would love to have you on board.What You'll Achieve:Develop essential datasets that act as the definitive sources for Notion’s financial reporting, integrating information from financial systems, business databases, and our product.Collaborate closely with our Finance, Monetization Engineering, Business Intelligence, and Data Science teams to address critical financial analysis and reporting requirements.Design, construct, and oversee data pipelines that not only meet current demands but are also scalable as our data needs grow.Facilitate widespread access to high-quality financial data across the Finance, Staff, and go-to-market teams.Skills You'll Need to Bring:A minimum of 4 years of experience as a data engineer, focusing on building core datasets and supporting various business sectors, particularly in product and high-volume data environments. A strong enthusiasm for analytics use cases, data modeling, and tackling intricate data challenges is essential.Experience in creating integrations and reporting datasets for payment, financial, and business systems such as Stripe, NetSuite, Adaptive, Anaplan, Salesforce, or equivalent.A proactive mindset, with the ability to gather and synthesize high-impact needs from business partners, designing and implementing suitable technical solutions.