Engineering Execution Manager Jobs

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

Job ID: 111265 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Maintain and document current and new system requirements. Perform Server Administration tasks, including user and group administration, research event logs to continually improve service for end users. Work with product, engineering, and operational business stakeholders to understand and prioritize business system’s needs. Monitor infrastructure and platform performance. Create architectural designs that enhance resilience and promote business continuity. Manage the deployment of new software, version upgrades, patch releases and major incidents. Manage development, test, release, and production environments in Cloud. Identify actionable, value-added optimization and efficiency opportunities, and contribute to the continuous improvement of applications and processes. Manage stakeholder requirements and develop detailed implementation plans. Employ agile methodology in the development of software, systems interfaces, and application configurations. Experience: Education and Experience: Master's degree or foreign equivalent in Computer Science, Engineering, or related field. 2 years of experience in job offered, software development, or related occupation. Skills: Experience with IT systems and Business Systems Oracle Fusion cloud. Experience with Oracle Cloud ERP and Boundary apps. Experience with SQL, PL/SQL, BI, OTBI, and BICC reports. Experience with Oracle finance and Source Code Management (SCM). Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid tim

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. About the Role Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do. The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard. You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it. Why This Role Exists Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. About the Role Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do. The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard. You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it. Why This Role Exists Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. About the Role Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do. The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard. You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it. Why This Role Exists Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Foundation and Luau Platform team builds the shared platform that Roblox's user interface runs on. Our UI is written in Luau, Roblox's scripting language, using React-style frameworks. We own the core pieces that product teams across Roblox rely on: a component library used across Roblox's apps and tools, server-driven UI, the core app frame and navigation, and the frameworks and libraries underneath them. Our goal is to make that platform fast, consistent, and reliable for the engineers who build on it. As a Senior Software Engineer, you will help shape and build it, working across systems, platforms, and infrastructure. You Will Design and build the frameworks and APIs that Roblox's UI is built on, including layout and navigation systems, server-driven UI, and a shared component library Build and evolve the core systems beneath the UI, such as navigation, routing, state management, and data flow, so features load quickly and behave consistently Drive startup performance, transition smoothness, and layout stability across the client on phones, tablets, and desktop, using traces and telemetry to set measurable quality bars Roll out platform changes safely at scale, using feature flags,

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Van

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Intermediate Backend Engineer, Security Factory: Code Security An overview of this role As an Intermediate Backend Engineer on GitLab's Security Factory: Code Security team, you'll help developers find and fix security issues in the code they write and the open source components they depend on. Your work connects dependency analysis, vulnerability detection, and automated remediation. You'll build parsing that tells the security analysis engine which libraries and frameworks a project uses, extend a service that turns security advisories into dependency update merge requests, and develop hybrid analyzers that combine rule-based d

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The Senior People Technology Solutions Lead is a senior individual contributor responsible for advancing the technology capabilities that support SIE's global People organization. Grounded in People Technology and enterprise HR systems, this role combines a strong understanding of HR processes, platforms, data, integrations, and employee experiences with expertise in emerging technologies such as generative AI, AI agents, agentic orchestration, APIs, Model Context Protocol (MCP), automation, and AI-assisted development. Reporting to the Senior Director of People Technology Services, this role serves as a technical practice lead for innovation within PTS. The Principal Platform Engineer works across HRIS, integrations, reporting and analytics, service delivery, and other People Technology areas to identify opportunities, establish technical direction, develop use cases, and turn emerging capabilities into practical solutions. Success requires strong partnership across organizational boundaries. The role works closely with People & Places as PTS's key business stakeholder, understanding priorities and identifying opportunities where technology can improve employee experience, service delivery, efficiency, and insight. At the same time,

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 Card team is responsible for the Card products at Affirm. Our central focus is developing high quality, seamless, scalable and flexible platforms that enable users to get transparent, honest financing for their purchases anywhere with Affirm’s card products. As a Software Engineer on the Card Checkout team, you will play a critical role in the development and implementation of complex software systems that allow for a seamless checkout experience for our users. We're looking for a highly motivated Software Engineer to join the Card engineering team within the Direct to Consumer organization. Our team focuses on the in-app experience of Affirm Card products. We are a full-stack team of backend and mobile engineers partnering closely with product, design, and analytics to build scalable systems and experiences that power our Card products. 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. On-Call Rotation - There would be an on-call rotation for this role as a requirement.

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 Card team is responsible for the Card products at Affirm. Our central focus is developing high quality, seamless, scalable and flexible platforms that enable users to get transparent, honest financing for their purchases anywhere with Affirm’s card products. As a Software Engineer on the Card Checkout team, you will play a critical role in the development and implementation of complex software systems that allow for a seamless checkout experience for our users. We're looking for a highly motivated Software Engineer to join the Card engineering team within the Direct to Consumer organization. Our team focuses on the in-app experience of Affirm Card products. We are a full-stack team of backend and mobile engineers partnering closely with product, design, and analytics to build scalable systems and experiences that power our Card products. 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 2+ years of experience as a software engineer. Y

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Estamos buscando um Desenvolvedor de Integração experiente para projetar e implementar integrações corporativas para um programa de Modernização de Automação em larga escala no setor de Energia. A função será responsável pelo desenvolvimento dos microsserviços corporativos para realizar a conexão entre múltiplas plataformas de negócio, incluindo Portal do Cliente, CRM, Faturamento, Precificação, Previsão, Gateways de Pagamento, Utilities, Microsoft Fabric e outras plataformas SaaS. O candidato selecionado trabalhará em estreita colaboração com o Líder de Integração, Arquitetos de Soluções, Analistas de Negócios, Arquitetos de Dados e fornecedores externos para entregar integrações seguras, escaláveis, resilientes e reutilizáveis, utilizando Azure Integration Services e serviços Java Spring Boot. Visão Geral do Projeto: O programa de Modernização de Automação tem como objetivo modernizar o ecossistema da organização nas áreas de clientes, precificação, previsão, faturamento e analytics por meio de integrações API-first, nativas da nuvem e orientadas a eventos no Microsoft Azure. Principais Responsabilidades: • Projetar e desenvolver integrações corporativas utilizando Azure Integration Services e Java Spring Boot. • Desenvolver APIs RESTful e microsserviços utilizando Java e Spring Boot. • Desenvolver e configurar APIs utilizando Azure API Management (APIM). • Implementar padrões de integração síncronos e assíncronos com base nos requisitos da solução. • Desenvolver integrações de mensageria e orientadas a eventos utilizando Azure Service Bus, filas, tópicos, assinaturas e serviços relacionados do