People Systems Engineer

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! As a Senior Salesforce Developer at New Relic, you will be responsible for building and maintaining our Salesforce org. You will work closely with our Sales Revenue & Finance teams to automate processes and build custom applications on the Salesforce platform. In this role, you will be responsible for the full development life cycle, from Design and Solution to deployment and maintenance. The ideal candidate will have 5+ years of experience as a Salesforce developer and be proficient in Apex, Lightning Web Components and Visualforce. They will also have experience with integrations and be able to work with other team members or independently. Duties & Responsibilities Design, develop, test, deploy, and maintain high-quality Salesforce.com solutions Configure Salesforce.com to meet business requirements Write Apex classes, triggers, Visualforce pages, and Lightning Web Components Integrate Salesforce.com with other systems (as needed) Perform data migrations Stay up to date on the latest Salesforce.com features Handle multiple projects simultaneously Work closely with business analysts, project managers, and other developers Adhere to coding standards and best practices Required Skills and Qualifications 5+ years of experience in Salesforce development, configuration, and customization Advanced Apex programming skills, including batch jobs, triggers, web services, and unit testing Experience with Lightning Components, Visualforce, and Force.com integration techno

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. About the Team The Payment Gateways team (used to be known as IPP Payments Backend ) is a critical pillar of Adyen’s Core Payments solution. The Core Payments group handles the foundational business logic, diverse payment flows, and global features that empower Adyen’s merchants worldwide. As part of the Payment Gateways team, you will design and build the infrastructure powering Adyen’s in-store payment experience . This means engineering systems capable of handling massive, simultaneous global traffic while maintaining rock-solid reliability for thousands of physical terminals, mobile devices, and merchant hosts. What You Will Do As a Backend Engineer (Java) , you will orchestrate complex payment flows by integrating multiple Adyen systems and defining the unified architecture for our next-generation payment features. Design & Deliver: Build, test, and deploy high-volume, low-latency Java applications that form the backbone of our global payment systems. Architect for Scale: Collaborate across Data and Platform engineering teams to design highly resilient, scalable services with reliability at their core. Own the Technical Lifecycle: Drive engineering best practices, contribute to scalable architecture designs, and actively participate in product roadmap discussions. Data-Driven Optimization: Define, implement, and monitor per

Job Details: Job Description: The Role and Impact As a Development Tools Software Engineer, you will play a vital role in creating and optimizing cutting-edge software tools that support diverse engineering domains such as design, manufacturing, validation, silicon production, systems integration, and ecosystem enabling. On a day-to-day basis, you'll design, develop, debug, and validate algorithms, tools, and systems that empower internal and external engineering teams to deliver impactful products. Your contributions will directly enable the seamless integration of Intel silicon and software into innovative solutions, driving progress across industries. Business group You will join Intel Corporation, a leading global technology company dedicated to advancing semiconductor innovation and creating solutions that enrich the lives of people worldwide. The team focuses on developing robust software tools and methodologies that support Intel's engineering ecosystem, fostering excellence and driving high-quality results. This group plays a critical role in enabling Intel's broader mission of building world-class technologies and products that power the future of the digital world. Key Responsibilities - Design and implement software tools using modern software development methodologies and programming languages. - Debug, validate, and optimize algorithms and software systems for engineering applications, ensuring high performance and reliability. - Collaborate with cross-functional teams to create solutions that enable seamless integration of Intel silicon and software into impactful products. - Utilize secure coding practices to ensure the robustness and security of software tools across various engineering domains. - Continuously explore innovative solutions to enhance design, manufacturing, validation, and testing processes. <p st

Here’s a summary of the role: Are you a Technical Writer or Content Engineer who enjoys working at the intersection of documentation, technology, automation, and AI? In this role, you’ll shape how complex SaaS product knowledge is created, structured, published, and consumed by both people and AI systems. You’ll own documentation strategy across key product areas while working closely with Product, Engineering, Design, Support, Customer Success, and other teams. You’ll bring experience in technical writing, docs-as-code, content architecture, structured authoring, CI/CD, content automation, LLMs, RAG, and AI-assisted workflows to build documentation that is accurate, discoverable, reusable, and ready for the next generation of AI-powered experiences. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Lead documentation strategy and execution across assigned SaaS product areas, ensuring content is clear, accurate, consistent, and customer-focused. Define and improve information architecture, content models, structured content, and documentation standards to make knowledge scalable and reusable. Build and maintain AI-ready content, including agent instructions, prompt libraries, reusable skills, and workflows that help AI systems find and use product knowledge effectively. Partner with Product, Engineering, Design, Support, Customer Success, Training, Implementation, and Marketing teams to embed documentation into the product development lifecycle. Build and improve automated documentation workflows covering content testing, validation, publishing, deployment, and quality assurance. Use customer feedback, analytics, and content performance data to continuously improve documentation quality, findability, freshness, and overall customer experience. These are the essentials you’ll need to get an interview: 7–10 years’ experience in technical writing, content engineering, or product documentation, ideally within a complex software/SaaS environ

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Who you are You are an experienced Infrastructure Engineer Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectura