Manager II, Software Engineering, Infrastructure

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box is building the infrastructure that powers AI agents across our entire product ecosystem — and we need a hands-on engineering leader to run it. The Agent Runtime team is a platform team at the heart of Box's AI-first strategy. You will own the runtime engine that enables every Box product team to deploy and operate AI agents at scale, supporting tenants like Box Notes, Canvas, Automate, and Workflows. This is not a team that ships features in isolation — it is the foundation that makes Box's agent-powered products possible. You will lead a tight-knit team of six engineers (a hybrid of software engineers and ML engineers), work cross-functionally with product and engineering leaders across the company, and present weekly progress

The Datadog Agent is our flagship open-source project and a critical part of how customers experience Datadog, with hundreds of engineers contributing annually across multiple languages and platforms. As Manager II, Engineering for Datadog Agent SDLC, you will lead the systems, tooling, and developer experience that enable engineers to build, test, secure, and ship software that runs in customer environments. You will guide the evolution of our software development lifecycle as AI coding tools reshape how software is developed, while strengthening our approach to software supply-chain security, build infrastructure, correctness, and performance. This is an opportunity to shape engineering practices for the Agent and establish patterns that can influence other open-source projects across Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the engineering teams responsible for the Agent developer experience, build systems, correctness, and performance benchmarking platforms Own software supply-chain security for a public repository that ships into customer infrastructure - provenance, signing, dependency and contribution review, and the new risks coding agents introduce Evolve the Agent software development lifecycle to support hundreds of contributors while improving developer velocity, reliability, and security Drive AI coding enablement across the Agent ecosystem, adapting development workflows and infrastructure as engineers increasingly work alongside coding agents Guide the evolution of build infrastructure for a complex, multi-language, multi-platform codebase, including the continued adoption and development of modern build systems Hire, mentor, and develop engineering managers and staff engineers across multiple geographies Who You Are:

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Conversion Visibility Modeling team enables a performant ads marketplace and helps prove value to advertisers by connecting Pinterest onsite activity with conversions that happen offsite (both digital and physical) in a privacy-preserving way. As a Machine Learning Engineering Manager on this team, you will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility solutions across modeling, serving, and data infrastructure, so advertisers retain accurate, privacy-aware performance visibility as signals fragment and degrade. You will set the technical direction for high-impact ML systems that feed ranking, bidding, measurement, and reporting across Pinterest’s ads stack. What you’ll do: Attract, hire, develop, and lead a hybrid team of ML engineers and backend softwar

Datadog Real User Monitoring (RUM) provides deep insight into frontend applications’ availability and performance. With Datadog RUM, customers monitor the health of their user experiences in real time and across all types of devices and frameworks: web, mobile, smartTVs, etc. Their frontend issues are correlated with backend telemetry (traces, logs, infrastructure metrics, database queries, etc.), their synthetic tests, and business data in a single place to quickly identify and troubleshoot issues across their stack. As a Product Manager for RUM, you will build solutions that help customers onboard to RUM and expand usage in the most efficient and scalable way, ensure experience consistency throughout the product, build intelligence based on availability and performance data, and work closely with enterprise customers to make sure their needs are met. As part of the team for this fast growing product, you will participate in the vision, strategy, and execution, driving the development and evolution of our RUM offering. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Identify customers' needs and business opportunities through quantitative data analysis and qualitative customer interviews. Translate needs and opportunities into business cases, features, product requirements, and roadmaps. Collaborate closely with cross-functional teams including engineering, design, data science, and product. Collaborate with marketing, customer success, and technical writing teams to deliver new features and services that are easy to use and understand. Communicate feature releases to internal and external users for efficient go-to-market and product discovery. Who You Are: At least 3+ years of Product Management experience (ideally in enterprise software se

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. The Batch Developer Experience team makes batch development and testing faster and more reliable at Affirm. As a developer on this team you will partner with product and infrastructure engineers to build the tools and systems that streamline workflows, strengthen testing and ultimately improve the reliability of Affirm’s critical batch workloads. What you'll do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What we look for You have a total of 1.5+ years of experience as a software engineer. You have experience designing, developing and launching backend systems and are proficient i

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. Are you ready to join a dedicated team that is crafting the future of financial technology? At Ripple Labs Inc., we are on a mission to transform manual financial operations into flawless automated systems. As a Software Engineer on the Financial Core team, you'll play a crucial role in building the essential infrastructure that powers Ripple's global custodian network. THE WORK: We are the Financial Core team, the platform layer supporting Ripple's products. We manage vital infrastructure for money flow, including asset transfers across Ripple's global custodian network that covers fiat rails and crypto custody. Our responsibilities include settlement automation and liquidity management across many accounts and banking partners. The technology stack uses Java/Spring Boot on the backend, React/TypeScript for internal tools, and Postgres. These are deployed on Kubernetes with built-in observability and approval processes. We collaborate closely with Product Ops and Product to transform manual financial tasks into dependable, auditable, and automated systems. WHAT YOU’LL DO: Develop and deploy backend services and internal tools that automate settlement, funding, and liquidity management workflows Work directly with Product Ops and Product to understand manual processes and build software that replaces or accelerates them Contribute across the stack—REST API