Data Jobs in San Francisco, USA

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.  Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.  The Impact of a Lead Database Reliability Engineer at Coupa:  As a Lead Database Reliability Engineer, you will focus primarily on Cloud based MySQL environments.  You will be responsible for designing, automating, and maintaining reliable database infrastructure that supports mission-critical applications.    As a senior member of the team, you’ll be a hands-on technical leader—driving automation, mentoring engineers, and partnering with development and infrastructure teams to deliver resilient, secure, and performant data platforms. 

At Blue Bottle, our mission is to connect the world to delicious coffee. From seed to cup, we elevate the craft of coffee in everything we do. We strive to build a better tomorrow by investing in what matters: a sustainable future for our people, the company, and our planet.

Founding Data Scientist / Machine Learning Engineer at Palladio. Apply via Ashby.

<div class="content-intro"><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. </p></div><h2>DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.</h2> <p>We are seeking a <strong>Senior Engineer 2</strong> to play a key role in our <strong>AI Infrastructure Control Plane</strong> team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure. <br><br>This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.</p> <h2><strong>What You’ll Do:</strong></h2> <ul> <li><strong>Architectural Leadership:</strong> Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.</li> <li><strong>System Design:</strong> Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.</li> <li><strong>Operational Excellence:</strong> Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.</li> <li><strong>Cross-Functional Collaboration:</strong> Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.</li> <li><strong>Strategic Growth:</strong> Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader fo

<div class="content-intro"><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. </p></div><p>We are looking for a <strong>Customer Success Engineer, Database</strong> who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.</p> <p>As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.</p> <p>In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.</p> <h2><strong>What You'll Do</strong></h2> <ul> <li>Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments</li> <li>Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity</li> <li>Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean</li> <li>Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.</li> <li> on complex escalations, contributing to root cause analysis and resolution</li> <li>Analyze customer architectures to identify improvement opportunities and recommend best practices</li> <li>Participate in incident response and on-call rotations to support critical customer issues</li> <li>Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.</li> <li>Advocate for customer feedback to influence product improvem

<div class="content-intro"><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. </p></div><p>Drive<strong> </strong>the future of our physical infrastructure footprint, from Air Cooling through to 800VDC Liquid Rack Scale systems.</p> <p>This role is a Principal Datacenter Architect on our Design team, this role owns the forward looking Data Center architecture. Keeping a focus on where the industry is going, from Air to Liquid to 800VDC rack scale systems. Working with peers on the Design team who own the architectures for the Server, Network and Storage services.</p> <h2><strong>What You’ll Be Doing:</strong></h2> <ul> <li>Defining and owning DigitalOcean's reference architectures for next-generation Data Center environments, navigating shifts in technology, networking topologies, and AI/ML hardware roadmaps to keep facility designs future-proofed.</li> <li>Serving as DigitalOcean's primary technical stakeholder for Mechanical, Electrical, and Plumbing (MEP) systems across both leased colocation and build-to-suit environments, partnering with SMEs in the DC Ops organization.</li> <li>Provide leadership and guidance as a primary stakeholder in the new site selection process.</li> <li>Architecting end-to-end cooling designs with vendors and partner teams to support a wide variety of CPU, GPU, and other emerging server hardware.</li> <li>Architecting end-to-end power topologies with vendor teams to support diverse hardware across medium to ultra-high-density rack deployments, moving from 415VAC to 800VDC.</li> <li>Leading proof-of-concept (PoC) initiatives for emerging infrastructure technologies and transitioning successful pilots into global deployment standards.</li> <li>Guiding leadership through the implications of non-traditional data center facilities and emerging technologies such as behind-the-meter (BTM) power, to modular DC designs. Working with internal teams to weigh the business, commercial, and operational risks and tradeoffs.</li> <li>Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.</li> <li>Represent DigitalOcean in the broader community attending conferences, contributing to papers and presentations.</li> </ul> <h2><strong>What We’ll Expect From You:</strong></h2> <ul> <

<div class="content-intro"><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. </p></div><p>As a Principal Engineer you'll spearhead the design, development, and operation of scalable, high‑availability, and high-performance database platforms across relational and non-relational managed services (Managed MySQL, Postgres, MongoDB, etc.) and scale-out variants that scale to petabytes of data. Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.</p> <h2>Key Responsibilities:</h2> <ul> <li><strong>Architect and Build</strong></li> <ul> <li>Design and evolve the architecture of large-scale distributed database systems optimized for scalability, reliability, low-latency, and cost efficiency.</li> <li>Architect solutions for storage engines, indexing, querying, caching, replication, and high availability, drawing from best practices in both relational and NoSQL paradigms.</li> <li>Roll out new services by taking on a hands-on lead role as required to ensure timely delivery </li> </ul> <li><strong>Technical Leadership</strong></li> <ul> <li>Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the database engineering teams.</li> <li>Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.</li> </ul> <li><strong>Cross-functional Collaboration</strong></li> <ul> <li>Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.</li> <li>Guide customer-facing teams (e.g., consultants, support, sales engineers) to define database solutions and migration strategies aligned with organizational goals</li> </ul> <li><strong>Reliability, Performance & Scaling</strong></li> <ul> <li>Lead Operations Excellence for database services, establish mechanisms and processes that scale to the engineering organization while raising the bar </li> <li>Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery for database platforms.</li> <li>Drive automation (e.g., IaC, CI/CD pipelines, d

Staff Data Engineer at Imprint. Apply via Ashby.

<div class="content-intro"><div><strong>Aechelon Technology, Inc. is a leading producer of 3D simulator content, including Geospecific visual/sensor databases and realistic 3D models. We seek people who share our passion for real-time computer graphics and commitment to our mission of helping make our Nation’s pilots safer. We will give you a chance to work with some of the most talented people in the graphics industry. </strong></div> <div> </div></div><p>The Data Annotator / Geospatial Annotation Specialist plays a critical role in the creation of high-quality training datasets used to develop and refine Aechelon’s machine learning and computer vision models. This role supports both the Advanced Model Development Group and the Applied Real-Time Vision Group, ensuring datasets for object detection, segmentation, and classification are accurate, consistent, and production-ready.<br><br>The Specialist performs detailed vector annotation, image segmentation, and dataset preparation while adhering to strict quality standards. Because model performance is highly dependent on high-quality annotation, this role requires exceptional attention to detail and a strong understanding of geospatial imagery.<br><br>In addition to dataset creation, the Specialist will learn core machine learning concepts and gain experience operating inference tools and models within the DAML pipeline, becoming a direct contributor to model evaluation and workflow improvements.</p> <hr> <h3>Key Responsibilities</h3> <ul> <li>Create precise vector annotations and segmentation masks for training computer vision and object detection models.</li> <li>Perform detailed image segmentation, manually labeling features across large and varied imagery datasets.</li> <li>Follow established annotation guidelines and maintain consistency across global AOIs.</li> <li>Validate and refine automated detection outputs; correct errors or incomplete detections.</li> <li>Work with ML team to understand annotation needs, edge cases, and quality thresholds.</li> <li>Learn how to operate model inference tools and assist in evaluating model performance.</li> <li>Provide feedback on false positives/negatives, detection weaknesses, and annotation ambiguities.</li> <li>Maintain structured documentation of annotation processes, datasets, feature definitions, and QA results.</li> <li>Support improvements to dataset pipelines and annotation workflows through iterative refinement and testing.</li> <li>Assist multiple DAML groups as needed, depending on dataset demands and model development cycles.</li> </ul> <h3>Required Qualifications</h3> <ul> <li>Background in GIS, Remote Sensing, Image Analysis, Digital Art, Photogra