Principal Systems Engineer, Data

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) is a premier online personal styling service that empowers individuals to discover and embrace their unique styles. By expertly blending skilled stylists with cutting-edge AI and recommendation algorithms, we curate an exceptional selection of both exclusive and national brands, tailored to meet each client's distinct tastes and preferences. Founded in 2011 and headquartered in San Francisco, Stitch Fix revolutionizes the way people shop, making it effortless for clients to express their personal style without the hassle of navigating through endless options in stores or online.About the TeamThe Business Systems team serves as the strategic technology and data partner for our core operations. We design and maintain the technological framework that supports our Finance, Procurement, Merchandising, and HR/People and Culture functions. By collaborating directly with business leaders, we create, implement, and enhance scalable systems while transforming our business data into a strategic asset. Our team is responsible for building and managing data engineering pipelines, analytics dashboards, and next-generation automation and Gen AI solutions that provide critical insights and empower leaders to make informed, data-driven decisions.About the RoleWe are on the lookout for a strategic Senior Engineering Manager to lead our Business Systems Data & Insights team, focusing on pivotal domains including Finance (Accounting, FP&A), Merchandising, Procurement, and HR/People & Culture. This high-impact role will allow you to shape how Stitch Fix utilizes data and AI to drive essential business decisions and influence company strategy. You will spearhead our data and AI transformation by constructing scalable data infrastructure, enhancing analytics capabilities, implementing intelligent automation, and accelerating the adoption of Gen AI across these critical business functions.

About Retell AIAt Retell AI, we are pioneering the future of call centers through innovative voice AI technology. Our cutting-edge solutions are transforming how companies engage with customers.In just 18 months since our inception, we've empowered thousands of businesses with our AI voice agents that efficiently manage sales, support, and logistics calls, significantly reducing the need for large teams of human agents. Supported by industry-leading investors including Y Combinator and Alt Capital, we've grown our annual recurring revenue from $5M to an impressive $36M while expanding our team from 5 to 20 talented individuals since 2025.Our ambitious vision for 2026 is to develop a state-of-the-art customer experience platform where entire contact centers are driven by AI. Unlike basic automation requiring constant human oversight, we’re engineering intelligent AI “workers” capable of serving as frontline agents, quality assurance analysts, and managerial roles, all while optimizing customer interactions continuously.We are rapidly expanding and seeking driven builders who thrive on solving complex technical challenges, act decisively, and wish to make a tangible impact in one of the fastest-growing voice AI startups.Join us in shaping the future!Recognized as a top 50 AI application in the a16z list: https://tinyurl.com/5853dt2xRanked #4 in Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025Featured among the top startups on: https://leanaileaderboard.com/

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.

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.

At Crusoe, our mission is to accelerate the proliferation of energy and intelligence. We're developing the technology that enables ambitious AI-driven creations without compromising on scale, speed, or sustainability.Join us at the forefront of the AI revolution with sustainable technology. Here, you will lead innovative initiatives, make a significant impact, and work with a team that is pioneering responsible and transformative cloud infrastructure.Role Overview:We are on the lookout for a Senior Engineering Manager for Data Plane Systems, who will spearhead the team accountable for high-performance Software Defined Networking (SDN) data planes across hosts and Data Processing Units (DPUs). In this hands-on senior leadership capacity, you will be responsible for the architecture, implementation, and operational management of a hardware-accelerated networking stack tailored for large-scale GPU workloads, with a focus on rapid feature deployment from commit to production.Key Responsibilities:Technical Leadership: Define the strategic roadmap for SDN data plane systems and guide the integration of DPUs (like NVIDIA BlueField) and hardware accelerators.Architecture & Optimization: Oversee the development of Linux kernel networking components, XDP/eBPF data paths, and DPDK-based fast paths while driving the transition of networking functions to hardware offload architectures.Operational Excellence: Lead performance benchmarking, regression prevention, and incident response, ensuring we meet our operational goals within 3-6 month cycles.Team Development: Mentor and cultivate a high-performing team of senior and staff-level systems engineers, setting technical standards and nurturing a culture of accountability.Collaboration: Work closely with control-plane teams (OVN/OVS) to enhance throughput and latency for multi-tenant GPU clusters.

Join Zip as a Senior Business Systems Manager, where you will play a pivotal role in driving the effectiveness of our business systems. You will collaborate with cross-functional teams to implement innovative solutions, streamline processes, and enhance our operational capabilities. Your expertise will guide the development and optimization of business systems, ensuring they meet the evolving needs of our organization and customers.

About Anthropic Anthropic builds AI systems focused on reliability, interpretability, and user control. The company’s mission centers on keeping AI safe and beneficial for both individuals and society. The team includes researchers, engineers, policy specialists, and business leaders working together to deliver positive AI outcomes. Role Overview The Partner Experience team manages the Claude Partner Network, which supports thousands of partners in building, selling, and delivering with Claude. This team oversees the program, daily operations, and technical infrastructure that power partner activities. As Anthropic grows, the systems layer becomes even more critical as the foundation for all partner initiatives. What You Will Do Oversee the Salesforce partner data model, ensuring it supports business needs and partner growth Manage the partner platform stack and maintain its effectiveness as the network expands Monitor and improve data quality across partner systems Design and implement AI-driven automation processes to streamline operations Develop agentic workflows and manage essential systems for partner operations Location This role is based in San Francisco, CA.

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 Pinterest as a Senior Data Scientist focusing on Generative AI Automation, where you will leverage your expertise to drive innovative solutions that enhance user experience. You will collaborate with cross-functional teams to develop models that harness the power of AI, optimizing our platform's capabilities and functionalities.Your role will involve analyzing large datasets, creating predictive models, and deploying AI-driven automation tools that support our strategic goals. We are looking for a creative thinker who is passionate about data science and AI, eager to make a significant impact in a dynamic environment.

ABOUT RETELL AIRetell AI is at the forefront of revolutionizing call centers with innovative voice AI technology, utilizing first principles to redefine customer interactions.In just 18 months since our inception, thousands of companies have adopted Retell's AI voice agents to manage sales, support, and logistics calls that previously required extensive human teams. Supported by prestigious investors such as Y Combinator and Alt Capital, we have rapidly scaled to $36M ARR with a lean team of 20, up from $5M at the start of 2025.Our vision for 2026 is to create a modern customer experience (CX) platform where entire contact centers are powered by AI, moving beyond basic automation that relies on constant human intervention to intelligent AI “workers” that operate as frontline agents, quality assurance analysts, and managers, continuously executing, monitoring, and enhancing customer interactions.As we grow, we seek passionate builders eager to tackle challenging technical problems, accelerate progress, and make a genuine impact within one of the fastest-growing voice AI startups.Join us in shaping the future.Ranked among the top 50 AI applications in a16z's list: https://tinyurl.com/5853dt2x#4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025Also recognized as a top-ranking startup on: https://leanaileaderboard.com/ABOUT THE ROLEAs a Senior Software Engineer - Support Automations at Retell, you will take charge of the technical support for our advanced, agentic voice AI platform. This hands-on leadership role involves personally troubleshooting complex customer issues, developing AI agents and automations, and guiding a growing team of support engineers.You will work at the intersection of engineering, customer relations, and product development, ensuring exceptional reliability, swift resolutions, and scalable support as Retell expands.This position is perfect for someone who thrives on solving intricate technical challenges in high-pressure environments, engages directly with customers, and enjoys building systems and teams from the ground up.

About the TeamJoin OpenAI as the Director of Data Engineering and Agentic AI Automation, where you'll spearhead the evolution of our finance data infrastructure. As we expand our finance operations, we require robust and scalable data systems that can keep pace with our growth's intricacies. Your leadership will ensure the development of well-structured, auditable data essential for revenue recognition, financial reporting, and strategic planning. You will guide a talented team of analytics engineers, data engineers, and AI engineers to construct data pipelines that seamlessly integrate our internal engineering systems with leading enterprise platforms like Oracle Fusion ERP. Additionally, you will shape the roadmap for agentic AI automation, facilitating intelligent workflows, process automation, and AI-driven decision-making within the Finance department.This position is located in San Francisco, CA, and operates on a hybrid work model, requiring three days in the office each week. We also provide relocation assistance for new hires.Key Responsibilities:Develop and sustain a scalable, auditable data infrastructure that delivers precise financial insights, focusing on revenue recognition, compute attribution, and close automation.Lead and mentor a team of analytics engineers, data engineers, and AI engineers to create impactful, intelligent data systems.Direct initiatives related to financial close and allocations automation, B2C revenue automation connecting engineering systems to ERP, including cash and source system reconciliation.Design and implement data pipelines that bridge ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday.Establish and maintain scalable, audit-proof architecture to support reliable financial reporting and compliance.Create data and AI-enhanced workflows that improve forecasting accuracy, compliance automation, and operational efficiency.Develop and manage data marts and products that serve diverse stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams.Set and uphold best practices for data modeling, lineage, observability, and reconciliation across finance data domains.Define the technical direction and oversee team structure, mentoring engineers and managing contractors or system integrators to ensure high-quality outcomes.

Join Unify as a Senior Data Engineer, EnrichmentAt Unify, we are pioneering the first AI-driven action system for revenue teams, enabling organizations to transform their outbound efforts into a powerful growth engine. Our technology makes go-to-market strategies observable, repeatable, and scalable. Established in 2023 by visionaries from Ramp and Scale AI, our team boasts experience from industry giants such as Airbnb, Meta, Waymo, and Perplexity.In 2024, we achieved an impressive 8x revenue increase and cater to esteemed clients like Perplexity, Cursor, SoFi, and Justworks. We are a dynamic and high-energy team that has successfully raised $58M from prominent investors including Thrive, Emergence, and OpenAI. Help us shape the future of go-to-market strategies - come aboard!Role OverviewAs a Senior Data Engineer focusing on Enrichment, you will take ownership of the systems that create and uphold the most extensive and high-quality first-party contact dataset available. Your responsibilities will include designing data pipelines that assimilate information from various vendors, developing intelligence to evaluate data source reliability, and establishing a quality framework that secures Unify's data as a competitive advantage.

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 Mercury, every new customer who applies for a bank account represents a new star igniting in a vast universe of possibilities. Initially, it may seem like a mere spark, but a closer examination reveals an intricate constellation of identity verification, ownership checks, sanctions screening, and fraud signals—all interconnected by invisible forces. The Risk Engineering team acts as the guiding navigation system for this expansive universe. Our mission is to safely guide thousands of ambitious individuals through Mercury’s orbit each day—each with a unique trajectory, risk profile, and narrative. We operate at escape velocity: moving swiftly, making confident decisions, and safeguarding the system without hindering the builders who depend on us. When we excel, founders can open bank accounts in delightful minutes rather than days, without needing to worry about the underlying complexities. We are on the brink of a new era. We are developing intelligent AI systems that do not merely assess risk but can reason about it—systems capable of investigating, deciding, escalating, and learning. These agents will enhance our KYC Refresh, EDD, ODD, and compliance workflows, propelling our operations to unprecedented levels of efficiency and scale. Our goal: to reduce manual labor, detect risks earlier, make sharper decisions, and create experiences that are almost magical in their simplicity. Now, we invite you to join us. We are seeking a Senior Software Engineer who is inspired by the prospect of bringing intelligent automation to life within real production systems. We need someone eager to design and implement AI-driven workflows that can think in steps, adapt to new information, and orchestrate complex decisions across people, models, and services. If you view compliance not as red tape but as a fascinating systems challenge at planetary scale, we want you. If you are excited about building impactful AI that safeguards millions of dollars, opens doors for founders globally, and helps shape the future of banking, we would love to explore this journey together. *Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

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.

Join Cloudflare as a Senior Systems Engineer specializing in Workers AI, where you will play a pivotal role in shaping the future of serverless computing. You will collaborate with cross-functional teams to design, implement, and optimize systems that empower developers worldwide.In this dynamic position, your expertise will be critical in enhancing the performance and reliability of our services. We are looking for an innovative thinker with a passion for technology and a strong background in systems engineering.

About UsAt Sierra, we are on a mission to revolutionize how businesses interact with their customers by leveraging the power of AI to create authentic experiences. Our headquarters is in the vibrant city of San Francisco, with expanding offices in key global locations such as Atlanta, New York, London, France, Singapore, and Japan.Our culture is rooted in our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These guiding principles inform our decision-making and shape our collaborative environment, ensuring that we consistently deliver excellence.Founded by industry leaders Bret Taylor and Clay Bavor, our vision is supported by a wealth of experience. Bret, who previously served as co-CEO of Salesforce and CTO of Facebook, is currently the Board Chair of OpenAI. Clay brings 18 years of innovation from Google, where he spearheaded projects like Google Lens and Google’s AR/VR initiatives.Your RoleDesign and implement comprehensive Go-to-Market and billing systems that facilitate intricate pricing models and usage-based monetization.Architect robust, scalable integrations between Salesforce and various financial systems, including CPQ, billing, invoicing, ERP, and data platforms.Develop and manage ETL pipelines to efficiently transfer raw and rated usage data across data warehouses, billing platforms, and financial systems, ensuring support for complex billing scenarios.Create and maintain automated billing workflows, encompassing usage ingestion, rating, invoicing, and revenue data synchronization.Assess, implement, and oversee integration architectures (such as event-driven, ETL, and iPaaS-based) to bolster scalable billing and revenue operations.Take ownership of the overall health of billing and revenue systems, monitoring data accuracy, synchronization, and operational performance across platforms.Lead the rollout of new billing capabilities as our business models evolve, ensuring systems can adapt to increasing pricing and usage complexities.Act as a liaison between Engineering, Finance, RevOps, and GTM teams, translating product usage and monetization requirements into actionable insights.

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

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