Location : Barcelona, Berlin or Hamburg Join our innovative team as a Senior CRM Tech Manager, where you will drive the implementation, maintenance, and optimization of our CRM platform across Rider, Driver and B2B in 9 markets. As a key member of the CRM team, reporting directly to the Head of CRM, you’ll collaborate across marketing, operations and data functions to ideate and deliver high-quality, data-driven marketing automations and other solutions that enhance customer engagement and support our business growth. YOUR DAILY ADVENTURES WILL INCLUDE: Drive the technical design, implementation, optimization, and scalability of CRM systems. Collaborate with marketing, product and engineering teams, ensuring technical CRM solutions align with business goals. Develop and maintain our CRM infrastructure, including automating workflows, integrations, and personalization that drive efficiency. Ensure data quality, integrity, and compliance through audits and analysis. Troubleshoot CRM performance issues and optimize system functionality. Analyze CRM data to generate insights and recommendations. Manage technical vendors and maintain system documentation. Develop in-app messages and email templates using HTML, CSS, and JavaScript. Write SQL and Python scripts for segmentation and ETL processes. Our MarTech stack : Braze | Tableau | Mixpanel & more TO BE SUCCESSFUL IN THIS ROLE: Bachelor's degree in Information Technology, Computer Science, Business, or a related field. Minimum 3+ years of multi-country CRM experience, ideally in ride-hailing, mobility, or food delivery. Self-learner with hands-on experience configuring, customizing and optimizing CRM platforms, particularly Braze and for mobile applications. Proficiency in SQL, HTML, CSS, and JavaScript for CRM automation and customization. Strong analytical and problem-solving skills with a data-driven mindset. Experience with API integrations and understanding of data structures and microservices. Ability to c
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Location : Barcelona, Berlin or Hamburg Join our innovative team as a Senior CRM Tech Manager, where you will drive the implementation, maintenance, and optimization of our CRM platform across Rider, Driver and B2B in 9 markets. As a key member of the CRM team, reporting directly to the Head of CRM, you’ll collaborate across marketing, operations and data functions to ideate and deliver high-quality, data-driven marketing automations and other solutions that enhance customer engagement and support our business growth. YOUR DAILY ADVENTURES WILL INCLUDE: Drive the technical design, implementation, optimization, and scalability of CRM systems. Collaborate with marketing, product and engineering teams, ensuring technical CRM solutions align with business goals. Develop and maintain our CRM infrastructure, including automating workflows, integrations, and personalization that drive efficiency. Ensure data quality, integrity, and compliance through audits and analysis. Troubleshoot CRM performance issues and optimize system functionality. Analyze CRM data to generate insights and recommendations. Manage technical vendors and maintain system documentation. Develop in-app messages and email templates using HTML, CSS, and JavaScript. Write SQL and Python scripts for segmentation and ETL processes. Our MarTech stack : Braze | Tableau | Mixpanel & more TO BE SUCCESSFUL IN THIS ROLE: Bachelor's degree in Information Technology, Computer Science, Business, or a related field. Minimum 3+ years of multi-country CRM experience, ideally in ride-hailing, mobility, or food delivery. Self-learner with hands-on experience configuring, customizing and optimizing CRM platforms, particularly Braze and for mobile applications. Proficiency in SQL, HTML, CSS, and JavaScript for CRM automation and customization. Strong analytical and problem-solving skills with a data-driven mindset. Experience with API integrations and understanding of data structures and microservices. Ability to c
NVIDIA is the world leader in GPU Computing. We are passionate about markets including gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you. We are now looking for a Software QA Test Development Engineer, you will collaborate with multi-functional groups. SWQA test developer engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA engineer can improve productivity or optimize test plan. As a SWQA test developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. What You’ll Be Doing Analyze requirements and design test matrices covering functionality, performance, and edge cases. Develop test plans and cases; build and maintain automated test suites (API / UI / CLI / E2E) in Python. Leverage AI-powered tools and agentic workflows to accelerate test generation, triage, and root cause analysis. Manage the full bug lifecycle — filing, reproduction, and driving multi-functional collaboration to resolution. Reproduce and verify customer-reported issues to ensure quality before release.
Opportunity Overview: We are seeking a Software Engineer II to join our Engineering team. In this role, you will independently deliver features and improvements to healthcare technology that powers prior authorization for health plans covering 15+ million members. You'll own story-sized work from design through deployment — decomposing problems, coordinating dependencies, and shipping reliable software with minimal oversight. You'll partner with your squad, product, and QA to build systems that healthcare practitioners rely on daily. This is an opportunity to deepen your engineering skills, take ownership of meaningful work, and grow toward technical leadership in a high-impact healthcare environment. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Own story-level work independently — decomposing stories into tasks, implementing across the full stack (Java/Groovy backend, React/TypeScript frontend, MongoDB, Kafka), and leading release and support for your changes Design and ship features with strong quality discipline — writing appropriate tests, producing accurate estimates, and confirming priorities with your team Write short design notes for non-trivial work, articulating tradeoffs between approaches before committing to implementation Debug and resolve production issues in your owned area, using logs, metrics, and traces to identify root causes and ship fixes Identify and ship small platform or process enhancements that improve developer experience, code quality, or operational reliability Provide high-signal code reviews that catch issues, suggest improvements, and help teammates grow Support onboarding of new team members and mentor interns or new hires on bounded, well-scoped tasks Coordinate across tasks and dependencies within your stories — working with PM, QA, and adjacent engineers to resolve blockers and close issues through
VTS runs a complex, high-volume revenue motion — Salesforce CPQ feeding NetSuite via middleware, with mid-contract amendments involving upsells, cross-sells, volume changes, downgrades, and product churn happening continuously. The integration layer that connects these systems is functional but manual-heavy, underdocumented, and not built to scale. Furthermore, our CRM and CPQ system requires customization in order to optimize deal workflows to ensure accuracy and timely contract execution. This is not a Salesforce admin role with a developer title. We need someone who writes clean Apex, understands how CPQ order data needs to land in an ERP, knows what good middleware design looks like, and treats release management as a professional discipline — not an afterthought. Alongside our RevOps system team and Salesforce Architect, you'll work closely with our Finance and Sales teams. You will be one of the internal technical voice that evaluates and challenges what those partners propose — knowing when to push back when something is wrong. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** What you can expect as a Senior Salesforce & Integration Engineer: Salesforce / CPQ Own the technical customization and development of Salesforce — LWCs, Apex classes/triggers etc along with flows Manage the scaling of custom objects that drive pre/post sales teams in meeting customer needs and internal workflow management Write and maintain Apex triggers, classes, and flows that support Salesforce and CPQ business logic — with test classes that hit 90%+ coverage as a floor, not a ceiling Integration Architecture & Development Partner with third-party implementation firms on the integration build and growth connecting Salesforce CPQ to NetSuite — be the internal technical reviewer, not just the observer Own the internal integration layer as it matures: field
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview The New York Times is looking for a System Analyst to support the operation and maintenance of the infrastructure for our publishing and production operations. You will support essential in-house applications and workflows. You will play an important part in ensuring these systems integrate with our broader production environment. You will collaborate with the larger IT department. You will need to support our manufacturing processes. You will work with internal colleagues, vendors, and contracted third-party developers. You will report to the Manager of Production Systems at the College Point plant in Queens, NY. This department is part of the corporate IT department of the New York Times. You will not manage people, but will independently manage projects. You will be hybrid, with 3 days on-site expected. The College Point plant is a 24/7/365 operation manufacturing newspapers. We will require you to work off hours during system migrations, outages, and upgrades. Responsibilities: Research, develop, test, and maintain infrastructure of applications controlling publishing and production, including NewswayX and Mueler SAM Support and maintain vendor production systems to ensure reliability and operational continuity. Create technical specifications for new features and manage related JIRA tickets. Develop new procedures, test and deploy them, train end users Write system and user documentat
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 Engineering Acceleration team delivers a world-class development experience to our 2000+ Roblox teammates who write, build, and ship the most incredible virtual experience platform in the world. As a Principal Software Engineer, you will set the technical direction for transforming development at Roblox from its solid roots to a fully scaled, globally mature, AI-powered development, code review and CI environment. If you are passionate about engineering productivity and you've ever wanted to define — not just build — the systems that fundamentally change how an entire engineering organization operates, this is your opportunity. You Will: Own, scale, and define the long-term technical vision for Roblox's source code search, storage, review, and CI infrastructure for the next 10 years of growth. Architect software that improves the lives of your coworkers — spanning local development tools, internal web apps and microservices, reusable CI workflows, productivity metrics toolchains, and integrations across many 1st and 3rd party tools. Lead and drive major company-wide efforts improving the productivity and user experience of our Source and CI tools, setting direction across teams a
About Team Rubrik Atlas is the core data path for all Rubrik products, whether in the data center, at the edge, or in the cloud. It is a distributed, scale-out, fault tolerant, performant, deduplicated user-space filesystem that uniquely combines block device (ext4/NFS/SMB) and S3 backend storage interfaces. It has been the cornerstone of Rubrik’s innovative tech stack since Day 1. Since inception this team has attracted some of our strongest technical talent with a very high bar for quality and velocity. We are looking for motivated engineers, who can complement this rockstar team! About Role Rubrik is expanding at a rapid pace in all directions, from supporting various applications (like Kubernetes, Oracle, EC2, and RDS protection) to hardware storage platforms (like SSD, HDD, S3, Azure Blob, and EBS), to revolutionizing cloud protection (such as SaaS protection, data security, and immutability). At the heart of this transformation is our Atlas platform. We are looking for an experienced distributed systems engineer to guide us through the next stage of the evolution of our data platform. As an engineer in the team, you’ll design, develop and deliver cutting-edge solutions for the tectonic shifts mentioned above. You will be responsible for outlining the architectural principles we should build towards, prototyping changes, and working with the team to realize the vision in a production-quality system. Your technical direction will also impact multiple teams across Rubrik, as we will need to guide them on how to best build on top of Atlas. There will be a wide range of features to work on, including cloud storage-backed file systems with effective cost analysis, building data formats optimized for read and write performance for all workloads, deduplication and compression, reliability, resiliency, infinite scalability, performance tooling using eBPF, asynchronous programming, various read-ahead techniques, snapshotting, data integrity, data security, data i
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 We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers. What you'll do You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go,
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deplo
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Abu Dhabi, UAE. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise and digital native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteri
About the team The Agent Enablement AI Deployment Engineering (ADE) team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an AI Deployment Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to
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 We are looking for a Finance & Strategy (FP&A) Systems Engineer to join our Finance Systems team at Anthropic. In this role, you will be responsible for building and maintaining platforms that support our core Financial Planning, Forecasting and Analytics processes. You will bring deep hands-on expertise in EPM platforms like Anaplan, Pigment and data platforms like BigQuery, who writes integrations, tooling, and production code that connect them to Anthropic’s ERP and data warehouse systems. You'll work closely with Corporate Finance & strategy stakeholders to translate business requirements into innovative technical solutions, maintain data integrity, and drive continuous improvements to our financial systems infrastructure. You'll manage day-to-day Finance system operations, support critical financial processes and monthly Forecasting cycles, and take on more ambitious system projects over time, including using Claude to automate FP&A work, help build scalable solutions that enable efficient financial planning, forecasting, and reporting as we continue to grow. Responsibilities Systems Administration and Support Serve as a primary system administrator for our financial planning platform (Pigment), maintaining system health and optimal performance Manage Finance applications, data, user access & security, system configurations, version management to ensure appropriate controls and governance. Provide technical support and troubleshooting for end-users, resolving issues and answering system-related questions System Development and Enhancement Design, build, and maintain application
At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. We are looking for a Firmware Engineer to lead our technical team and architect our firmware development. This role requires strong skills in firmware architecture, driver development, requirements specification, and embedded control systems, along with enough electronics knowledge to work fluently with hardware teams. This is an in office role with 4-5 days expected in office in Sunnyvale California. Flexible working from home is allowed and expected during different phases of our projects. Responsibilities Lead the firmware engineering team and represent firmware priorities in cross-functional design discussions Partner with Electrical, Mechanical, Software, and Systems Engineering to design, validate, and ship products, including: Writing drivers and state machines for custom PCBs (with EE) Building firmware within mechanical design constraints (with ME) Integrating firmware into the software update pipeline, help develop firmware build systems, and debugging firmware to software communication (with SWE) Debugging test hardware and resolving customer issues (with Systems) Write firmware to actuate smart hardware devices, including sensor integration, signal processing, motor control, and feedback control system design Develop and maintain real-time C/C++ firmware on TI/ARM platforms using TI-RTOS Build unit, board, and regression tests in C++ and Python using test-driven development Define and implement firmware development best p
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Sydney. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production. Build full-stack systems that deliver customer value and sharpen how we learn. Embed closely with customer teams, understand their needs, and guide adoption of what you build. Scope work, sequence delivery, and remove blockers early. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. Contribute directly in the code when progress or clarity depends on it. Codify working patterns into tools, playbooks, or building blocks that others can use. Share field feedback that helps Research and Product understand where the models succeed and where they can improve. Keep teams moving through clarity and follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. Have scoped and delivered complex systems in fast-moving or ambiguous environments. Write and review production-grade code across frontend and backend using Python, JavaScr
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