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Location: Dublin, IE 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 Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs. Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills -- you'll be partnering across the entire company. Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €235.000 — €295.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Strategic Finance team is focused on solving some of Figma’s most pressing business issues. The team is responsible for owning the company's budget, driving annual and quarterly planning processes, allocating and deploying the company's resources efficiently, performing financial analyses, and partnering with teams across the company. The role requires someone who is highly analytical and strategic, a great communicator, approaches problems in a structured manner, and is comfortable with ambiguity. You’ll get substantial visibility, focus on the highest-priority business issues, and be plugged into every facet of the business. We are currently hiring for a few roles across our Strategic Finance team. Go-To-Market: This role will focus on our Sales business. In your first 12 months, you will: Own and materially improve Figma’s annual planning and forecasting process Influence resourcing and investment decisions across the Sales business Corporate: This role will help deliver high accuracy in our revenue and ARR close. In your first 12 months, you will: Own, scale, and materially improve Figma’s Top-line financial ARR close and Figma’s revenue model Leverage automation to surface data-driven insights, enabling management to take proactive, margin-impacting actions Growth: This role will focus on Figma's AI Products. In your first 12 months you will: Own the experimentation framework for AI products & assess business impact Partner with Product, Design, and Engineering to identify, implement, and action on growth opportunities and measure new feature launches Iterate on pricing & packaging constructs, aiming to maximize customer & business value This is a full time role that can be held from one of our US hubs (SF / NY) or remotely in the United States. What you’ll do at Figma: Drive alignment on KPIs and key metrics to monitor business performance, drive growth initiatives, and provide visibility into operating performance Build annual operating plans, quarterly, and monthly financial forecasts Develop cross-functional partnerships across Figma to formulate business insight and inform executive decision making Own, run, and improve financial processes that support Figma’s business Partner with Strategic Finance, Data Science, and RevOps to improve our ARR data quality and forecasting Prepare and deliver presentations for the Executive Team, including the CFO, CMO, and CRO Experiment with AI-driven solutions to automate workflows, enhance accuracy, and elevate the speed and impact of Strategic Finance operations Help scale financial operating rhythms as Figma continues to grow Become a trusted thought partner to functional leaders and the executive team We'd love to hear from you if you have: 5+ years of relevant experience in investment banking, private equity, strategic finance, Big 4 audit, business operations, or related fields Experience in financial planning and creating data-driven analysis Demonstrated ability to build processes from scratch and distill complex issues into structured frameworks and develop concrete action plans Experience problem-solving independently, organizing workload and priorities, and completing tasks on time Experience building relationships and communicating with stakeholders across all levels and functions Genuine curiosity and passion in the work that you do While not required, it’s an added plus if you also have: Experience at a high growth B2B SaaS company, with bonus points for GTM experience SQL/AI tooling experience and deep experience working with large data-sets At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $115,000 — $245,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable : when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely. As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving. What You'll Do: Own the Safeguards Engineering ops review - Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk. Drive incident tracking and post-mortem execution - When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does. Establish and maintain SLOs with partner teams - Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not. Maintain runbook quality and incident-ownership clarity - Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents is unambiguous so that nothing falls through the cracks during an active incident. Drive platform migrations and infrastructure projects - Own the program management for the larger infrastructure work on the roadmap: migrating the infra from one platform to the next, moving from one incident platform to the next and from one cloud system monitoring to another, and other migrations as they come. These are cross-team efforts with real dependencies — your job is to keep them sequenced, on track, and connected to the teams that need them. Coordinate evals platform improvements - Partner with the evals engineering team to drive improvements to the evaluation platform — including self-serve capabilities and the broader eval factory infrastructure. Help scope the work, track dependencies on other Safeguards systems, and make sure the evals platform is keeping pace with the team's needs. You might be a good fit if you: Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously. Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread. Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them. Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication. Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either. Have experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you. Strong candidates may also: Have experience with SRE practices, incident management frameworks, or on-call operations at scale. Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted. Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline. Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them. Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Beograd, Serbia Workplace: hybrid About The Role: At Paysend , our products handle millions of money movements across markets , where reliability and accuracy are critical. Behind every transaction is a complex set of systems and processes that need to work exactly as expected. We are looking for a QA Engineer to join our team and help ensure the quality and reliability of our web and mobile products. You will test real-world customer scenarios across multiple platforms and services, investigating issues across APIs, microservices, databases, and asynchronous processes to understand what happens at every step. We are looking for someone who combines strong testing fundamentals with technical curiosity and a practical understanding of how complex products work. What You'll Do (Responsibilities): Functional, regression and acceptance testing of user scenarios across web, iOS and Android. Testing money flows: transfers, card top-up/withdraw, FX and rates, tariffs, limits, fees, bonuses and referrals. Testing onboarding and KYC, including the integration with our verification provider (Sumsub). Testing payment and authentication integrations: 3DS/SCA, Google Pay, Apple Pay, OTP and passcode. API testing (REST/gRPC): inspecting requests, responses and traces, validating contracts and error handling. Testing interaction between microservices: asynchronous scenarios, events in queues, idempotency, retries and degradation paths. Verifying state in the database: transaction and process statuses, balances, profile data. Requirements analysis and participation in grooming: reviewing user stories, raising questions about design and logic early, assessing risk. Designing and maintaining test cases and test plans, tracking defects in Jira, taking part in release checks. Preparing test data and working with test environments. Mentoring junior colleagues and helping evolve QA practices and processes in the team. What You’ll Need To Be Successful In This Role: 6+ years in manual testing, a meaningful part of it in fintech, banking, payments or another product that moves money. Experience testing a single product across web and mobile (iOS/Android), with a good grasp of cross-device and responsive specifics. Experience with and understanding of testing microservice-based applications: how to test a service in isolation and in combination, where to look for the root cause of a failure, what an asynchronous scenario is and why it breaks. Hands-on experience with message brokers (Kafka, RabbitMQ or similar): reading and publishing messages, verifying events within a scenario. Practical API testing: Postman/Insomnia or equivalents, working with REST, reading logs and traces; gRPC is a plus. Confident SQL at the level of queries and joins (PostgreSQL or a similar database). Basic programming skills in any language (Python, Java, JavaScript, etc.) — enough to write a script, read someone else's code and prepare test data. Experience using AI tools to optimise and automate day-to-day work: generating and reviewing test cases, analysing logs, preparing data, speeding up routine tasks. Experience with a test management system (Allure TestOps or similar) and Jira, and the ability to write clear, reproducible bug reports with enough context for a developer. Confident use of browser dev tools and a debugging proxy for network inspection (Charles, Proxyman, Fiddler). Systems thinking: the ability to decompose a scenario and find edge and negative cases, not just walk the happy path. English at a level that supports fluent working communication in a distributed team. Nice To Have: Domain knowledge: the payment lifecycle, transaction statuses, currency conversion, fees and limits, KYC/AML requirements as they show up in the user journey. Experience with Google Cloud Platform An understanding of how E2E automation works (Playwright, visual regression) and the ability to shape manual coverage so that it complements it. Experience with server-driven UI or configuration-driven scenarios. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Build Systems team within Figma’s Developer Experience organization owns Figma’s build and CI infrastructure, enabling engineers to ship changes to production quickly and safely. We build and operate core platforms across our polyglot monorepo, including build systems, artifact repositories, merge queues, test frameworks, and CI pipelines. We’re looking for an experienced technical leader to help shape these platforms, uplevel the team, and deliver high-impact platforms that accelerate engineering velocity. The ideal candidate has deep experience with large monolithic codebases, builds durable and scalable systems, and is motivated by solving high-leverage problems that amplify productivity across the engineering organization. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Drive technical roadmap and strategy for the Build Systems team Partner with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions Lead complex, multi-quarter initiatives reducing build/test times and improving CI reliability, all while balancing technical excellence with pragmatic delivery Design, build, and maintain modern developer tools including scalable build systems, distributed CI platforms, and test frameworks that serve thousands of engineers Architect and implement large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost-efficiency Mentor and uplevel the team through technical guidance, code reviews, and architectural leadership, leading by example and actively investing in your teammates’ growth Collaborate with product engineers (your customers), infrastructure teams, and executive stakeholders, and communicate technical decisions clearly to audiences ranging from individual contributors to senior leadership Keep up to date with industry trends and best practices in build systems, CI, and developer tooling, and incorporate applicable technologies into our roadmap We’d love to hear from you if you have: 5+ years of engineering experience, including 4+ years on Infrastructure, Platform, or Developer Experience teams Deep expertise in build systems (e.g., Bazel, Buck, Pants, Gradle) and operating large-scale monorepos Experience optimizing CI/CD, building developer tooling at scale, and designing reliable, high-performance distributed systems Hands-on experience with AWS, CI platforms (e.g., Buildkite), Infrastructure as Code, and strong coding skills in languages such as Go, TypeScript, Python, or Ruby Proven technical leadership, with a track record of setting technical direction, driving cross-team initiatives, and communicating effectively across a wide range of stakeholders While it’s not required, it’s an added plus if you also have: Experience migrating large codebases to modern build systems (especially Bazel) Experience building test frameworks and improving test infrastructure Have excellent problem-solving skills, using a systematic and thorough approach grounded in first principles, with a bias for action and a strong focus on impact You’re willing to work on grungy problems when they have a high impact on the business or the health of our platform Care deeply about the quality of the software and systems you build, with an artisan mentality and a constant drive to improve your craft, while striking the right balance between idealism and pragmatism Finally, Figma is a close-knit company with a strong culture that promotes inclusivity and collaboration, taking ambitious goals and having fun doing so. You deeply value these traits and see yourself actively contributing to it Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $185,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption. You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations. WHAT YOU'LL DO - Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires. - Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures. - Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems. - Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data. - Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across regions and configurations. - Debug and harden systems: Dive deep into complex infrastructure problems spanning networking, authorization, Kubernetes, and cloud services to make our enterprise platform more robust and diagnosable. - Partner with go-to-market teams: Collaborate with Sales and Customer Success to understand enterprise infrastructure requirements, scope technical solutions, and unblock deployments. - Contribute to technical strategy: Help define SLAs/SLOs for enterprise infrastructure reliability; participate in build-vs-buy decisions for complex infrastructure capabilities. REQUIRED SKILLS AND EXPERIENCE - 4+ years of experience in Infrastructure Engineering, Platform Engineering, or similar roles. - Strong programming skills in Go, Typescript or Python; you write high-quality, well-tested code. - Experience with Kubernetes and cloud-native technologies in production environments. - Solid understanding of cloud networking: VPCs, peering, private connectivity, load balancers, DNS. - Experience with infrastructure as code (Terraform) and configuration management. - Familiarity with authentication and authorization systems: OAuth/OIDC, RBAC/ABAC models, policy enforcement. - Familiarity with security and encryption fundamentals: TLS, encryption at rest, key management concepts. - Strong debugging skills with an ability to trace issues across distributed systems. - Excellent written communication; you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders. NICE TO HAVE - Experience with Google Cloud Platform (GCP) services, networking, and IAM. - Experience building multi-tenant or single-tenant SaaS infrastructure. - Familiarity with enterprise compliance frameworks (SOC 2, FedRAMP, HIPAA) and how they translate to infrastructure requirements. - Experience with customer-managed encryption keys (CMEK/BYOK) implementations. - Background in developer platforms, cloud IDEs, or developer productivity products. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Winhöring, Germany; Raubling, Germany; Grainau, Germany; Friedrichshafen, Germany; Kempten, Germany; Ulm, Germany Do you have a refined appreciation for high-end performance vehicles and the customer experience that surrounds them? Are you familiar with the standards, service, and atmosphere expected in luxury automotive environments? If so, this exclusive opportunity may be a great match for you. Become a Luxury Automotive Experience Evaluator As a Luxury Automotive Experience Evaluator, you’ll be invited to visit premium automotive showrooms and provide expert feedback on the customer journey. Your perspective, shaped by your familiarity with premium vehicles and elevated service expectations, helps global automotive brands refine and perfect their experience. Why This Opportunity Is Ideal for Automotive Enthusiasts Exclusive access: Participate in highly selective showroom experiences designed for individuals who understand the nuances of premium automotive brands. Engage with performance craftsmanship: Step inside refined automotive environments and interact with brand specialists who showcase engineering, design, and innovation. Use your experience to influence the industry: Your expectations and insights as someone familiar with luxury products will directly contribute to enhancing the customer journey. What You’ll Do Choose assignments that fit you – Select missions aligned with your interests, preferences, and profile. Experience the showroom journey – Interact with product experts, explore the space, and evaluate service with a trained eye for luxury. Observe every detail – Assess the ambiance, level of service, digital and in-store interactions, follow-up communications, and the complete customer journey. Share honest, professional feedback – Submit your observations through structured questionnaires on our platform. How to Apply: To become an evaluator with us, follow these simple steps: Register on and receive an email with your credentials. Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you. Check the ‘welcome package’ and pass the general certification. You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you. About CXG CXG partners with leading luxury brands in over 70 countries, supported by a global network of 80,000+ evaluators. With nearly two decades of expertise in luxury customer experience, we focus on elevating the standards of the world’s most prestigious brands. Join us on CXG Live , our platform where you can access exclusive missions, complete certifications, and submit your insights. Requirements Must be 18 years of age or older. Good understanding of the automobile industry. Passionate about automobiles and improving customer service and retail environments. Enjoy interacting with people. Has a keen eye for discreetly observing and noting various aspects of your shopping experience. Own a car and has a driving license. Ability to provide unbiased, honest feedback without personal biases and be prompt in filling out online surveys. Benefits This is a freelance , project-based position Flexible working hours

Location: Ehrenfeld, Germany; Bonn, Germany; Aachen, Germany; Siegen, Germany Do you have a refined appreciation for high-end performance vehicles and the customer experience that surrounds them? Are you familiar with the standards, service, and atmosphere expected in luxury automotive environments? If so, this exclusive opportunity may be a great match for you. Become a Luxury Automotive Experience Evaluator As a Luxury Automotive Experience Evaluator, you’ll be invited to visit premium automotive showrooms and provide expert feedback on the customer journey. Your perspective, shaped by your familiarity with premium vehicles and elevated service expectations, helps global automotive brands refine and perfect their experience. Why This Opportunity Is Ideal for Automotive Enthusiasts Exclusive access: Participate in highly selective showroom experiences designed for individuals who understand the nuances of premium automotive brands. Engage with performance craftsmanship: Step inside refined automotive environments and interact with brand specialists who showcase engineering, design, and innovation. Use your experience to influence the industry: Your expectations and insights as someone familiar with luxury products will directly contribute to enhancing the customer journey. What You’ll Do Choose assignments that fit you – Select missions aligned with your interests, preferences, and profile. Experience the showroom journey – Interact with product experts, explore the space, and evaluate service with a trained eye for luxury. Observe every detail – Assess the ambiance, level of service, digital and in-store interactions, follow-up communications, and the complete customer journey. Share honest, professional feedback – Submit your observations through structured questionnaires on our platform. How to Apply: To become an evaluator with us, follow these simple steps: Register on live.cxg.com and receive an email with your credentials. Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you. Check the ‘welcome package’ and pass the general certification. You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you. About CXG CXG partners with leading luxury brands in over 70 countries, supported by a global network of 80,000+ evaluators. With nearly two decades of expertise in luxury customer experience, we focus on elevating the standards of the world’s most prestigious brands. Join us on CXG Live , our platform where you can access exclusive missions, complete certifications, and submit your insights. Requirements Must be 18 years of age or older. Good understanding of the automobile industry. Passionate about automobiles and improving customer service and retail environments. Enjoy interacting with people. Has a keen eye for discreetly observing and noting various aspects of your shopping experience. Own a car and has a driving license. Ability to provide unbiased, honest feedback without personal biases and be prompt in filling out online surveys. Benefits This is a freelance , project-based position Flexible working hours

Location: Munich, Germany; Dreifaltigkeit, Germany; Ingolstadt, Germany; Gersthofen, Germany; Offenhausen, Germany; Raubling, Germany Do you have a refined appreciation for high-end performance vehicles and the customer experience that surrounds them? Are you familiar with the standards, service, and atmosphere expected in luxury automotive environments? If so, this exclusive opportunity may be a great match for you. Become a Luxury Automotive Experience Evaluator As a Luxury Automotive Experience Evaluator, you’ll be invited to visit premium automotive showrooms and provide expert feedback on the customer journey. Your perspective, shaped by your familiarity with premium vehicles and elevated service expectations, helps global automotive brands refine and perfect their experience. Why This Opportunity Is Ideal for Automotive Enthusiasts Exclusive access: Participate in highly selective showroom experiences designed for individuals who understand the nuances of premium automotive brands. Engage with performance craftsmanship: Step inside refined automotive environments and interact with brand specialists who showcase engineering, design, and innovation. Use your experience to influence the industry: Your expectations and insights as someone familiar with luxury products will directly contribute to enhancing the customer journey. What You’ll Do Choose assignments that fit you – Select missions aligned with your interests, preferences, and profile. Experience the showroom journey – Interact with product experts, explore the space, and evaluate service with a trained eye for luxury. Observe every detail – Assess the ambiance, level of service, digital and in-store interactions, follow-up communications, and the complete customer journey. Share honest, professional feedback – Submit your observations through structured questionnaires on our platform. How to Apply: To become an evaluator with us, follow these simple steps: Register on live.cxg.com and receive an email with your credentials. Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you. Check the ‘welcome package’ and pass the general certification. You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you. About CXG CXG partners with leading luxury brands in over 70 countries, supported by a global network of 80,000+ evaluators. With nearly two decades of expertise in luxury customer experience, we focus on elevating the standards of the world’s most prestigious brands. Join us on CXG Live , our platform where you can access exclusive missions, complete certifications, and submit your insights. Requirements Must be 18 years of age or older. Good understanding of the automobile industry. Passionate about automobiles and improving customer service and retail environments. Enjoy interacting with people. Has a keen eye for discreetly observing and noting various aspects of your shopping experience. Own a car and has a driving license. Ability to provide unbiased, honest feedback without personal biases and be prompt in filling out online surveys. Benefits This is a freelance , project-based position Flexible working hours

Location: Frankfurt am Main, Germany; Wiesbaden, Germany; Oberstadt, Germany; Siedlung Tann, Germany; Hofheim, Germany; Oberursel, Germany Do you have a refined appreciation for high-end performance vehicles and the customer experience that surrounds them? Are you familiar with the standards, service, and atmosphere expected in luxury automotive environments? If so, this exclusive opportunity may be a great match for you. Become a Luxury Automotive Experience Evaluator As a Luxury Automotive Experience Evaluator, you’ll be invited to visit premium automotive showrooms and provide expert feedback on the customer journey. Your perspective, shaped by your familiarity with premium vehicles and elevated service expectations, helps global automotive brands refine and perfect their experience. Why This Opportunity Is Ideal for Automotive Enthusiasts Exclusive access: Participate in highly selective showroom experiences designed for individuals who understand the nuances of premium automotive brands. Engage with performance craftsmanship: Step inside refined automotive environments and interact with brand specialists who showcase engineering, design, and innovation. Use your experience to influence the industry: Your expectations and insights as someone familiar with luxury products will directly contribute to enhancing the customer journey. What You’ll Do Choose assignments that fit you – Select missions aligned with your interests, preferences, and profile. Experience the showroom journey – Interact with product experts, explore the space, and evaluate service with a trained eye for luxury. Observe every detail – Assess the ambiance, level of service, digital and in-store interactions, follow-up communications, and the complete customer journey. Share honest, professional feedback – Submit your observations through structured questionnaires on our platform. How to Apply: To become an evaluator with us, follow these simple steps: Register on live.cxg.com and receive an email with your credentials. Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you. Check the ‘welcome package’ and pass the general certification. You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you. About CXG CXG partners with leading luxury brands in over 70 countries, supported by a global network of 80,000+ evaluators. With nearly two decades of expertise in luxury customer experience, we focus on elevating the standards of the world’s most prestigious brands. Join us on CXG Live , our platform where you can access exclusive missions, complete certifications, and submit your insights. Requirements Must be 18 years of age or older. Good understanding of the automobile industry. Passionate about automobiles and improving customer service and retail environments. Enjoy interacting with people. Has a keen eye for discreetly observing and noting various aspects of your shopping experience. Own a car and has a driving license. Ability to provide unbiased, honest feedback without personal biases and be prompt in filling out online surveys. Benefits This is a freelance , project-based position Flexible working hours

Location: Hamburg-Nord, Germany; Hemelingen, Germany; Oldenburg, Germany; St. Jürgen, Germany; Pries-Friedrichsort, Germany; Ochtmissen, Germany Do you have a refined appreciation for high-end performance vehicles and the customer experience that surrounds them? Are you familiar with the standards, service, and atmosphere expected in luxury automotive environments? If so, this exclusive opportunity may be a great match for you. Become a Luxury Automotive Experience Evaluator As a Luxury Automotive Experience Evaluator, you’ll be invited to visit premium automotive showrooms and provide expert feedback on the customer journey. Your perspective, shaped by your familiarity with premium vehicles and elevated service expectations, helps global automotive brands refine and perfect their experience. Why This Opportunity Is Ideal for Automotive Enthusiasts Exclusive access: Participate in highly selective showroom experiences designed for individuals who understand the nuances of premium automotive brands. Engage with performance craftsmanship: Step inside refined automotive environments and interact with brand specialists who showcase engineering, design, and innovation. Use your experience to influence the industry: Your expectations and insights as someone familiar with luxury products will directly contribute to enhancing the customer journey. What You’ll Do Choose assignments that fit you – Select missions aligned with your interests, preferences, and profile. Experience the showroom journey – Interact with product experts, explore the space, and evaluate service with a trained eye for luxury. Observe every detail – Assess the ambiance, level of service, digital and in-store interactions, follow-up communications, and the complete customer journey. Share honest, professional feedback – Submit your observations through structured questionnaires on our platform. How to Apply: To become an evaluator with us, follow these simple steps: Register on live.cxg.com and receive an email with your credentials. Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you. Check the ‘welcome package’ and pass the general certification. You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you. About CXG CXG partners with leading luxury brands in over 70 countries, supported by a global network of 80,000+ evaluators. With nearly two decades of expertise in luxury customer experience, we focus on elevating the standards of the world’s most prestigious brands. Join us on CXG Live , our platform where you can access exclusive missions, complete certifications, and submit your insights. Requirements Must be 18 years of age or older. Good understanding of the automobile industry. Passionate about automobiles and improving customer service and retail environments. Enjoy interacting with people. Has a keen eye for discreetly observing and noting various aspects of your shopping experience. Own a car and has a driving license. Ability to provide unbiased, honest feedback without personal biases and be prompt in filling out online surveys. Benefits This is a freelance , project-based position Flexible working hours

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Engineering Manager to lead a team of highly experienced engineers building the infrastructure that powers Modal’s serverless GPU platform. This is a hands-on leadership role. Expect to split your time between technical contribution and people management depending on what the team needs. You’ll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, large-scale data handling, and performance optimization. WHAT YOU’LL WORK ON: Team - Recruit, hire, and grow a high-performing team of cloud platform engineers; run regular 1:1s focused on coaching, feedback, and career growth - Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work - Foster a culture of ownership, accountability, and continuous improvement Technical Direction - Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions - Translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them - Establish standards for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from spec through production - Push for good judgment on tooling and architecture, with a bias against unnecessary complexity Cross-Functional & Incident Leadership - Partner with product and engineering to align infrastructure work with business priorities; represent your team’s progress, capacity, and tradeoffs clearly to leadership - Serve as the escalation point for major incidents; drive resolution with urgency and ensure the team learns systematically, feeding those learnings back into infrastructure improvements YOU MAY BE A FIT IF: - You have 10+ years of industry experience, including 3+ years in a leadership role - You have a track record of building high-performance distributed systems at scale - You have a strong background in cloud infrastructure - You have deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.) - You’re proficient in a systems-level language (Rust, C, C++, or Java) - You’re an experienced engineering leader who stays close to the work and builds alongside your team when it counts - You earn trust through technical depth, not title - You communicate clearly, help strong engineers move fast without cutting corners, and stay calm and pragmatic under pressure - You care as much about how your team gets to an answer as about the answer itself

Location: San Francisco, CA 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 dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity.  You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about safety. Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. Evidence of exercising judgment and decision making in ambiguous situations. Planning, building, launching and measuring new products / systems in a zero to one environment. Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Berlin, Germany Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Enterprise Account Executive who will play a critical role driving sales and maximizing expansion opportunities with a defined list of Enterprise customers. You will be responsible for targeting, building and nurturing positive relationships with key C-level decision-makers, understanding complex business needs, and delivering innovative solutions across our product suite. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners throughout Figma. This is a full time role that can be held from Berlin hub or remotely in Germany. What you'll do at Figma: Manage a defined list of named enterprise accounts to consistently meet or exceed quarterly and annual sales targets Apply effective discovery and value-selling techniques to build and strengthen C-level relationships for every account in your book Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term Conduct thorough analysis to create strategic account plans that outline company priorities and initiatives, multi-threading at at senior level to build on expansion opportunities Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success Leverage opportunities to advance executive level relationships through in-person meetings and networking opportunities We'd love to hear from you if you have: Experience closing sales, over multiple years, for a software or SaaS business with the Enterprise customers (5000+ FTEs), selling to executives Consistent performance meeting pipeline generation targets for net new business Demonstrated experience successfully managing complex sales cycles (9 months+) Proficiency in a sales methodology and process that creates value for customers Fluency in German While it’s not required, it’s an added plus if you also have: Experience selling solutions to technical audiences at the highest level in Engineering, Product and Design teams Demonstrated ability to succeed in a changing environment Certified in deal qualification and prospect discovery At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: London, UK 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 Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs. Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills -- you'll be partnering across the entire company. Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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. We are seeking a senior Real Estate Portfolio Manager to join Anthropic's Workplace and Real Estate team to lead strategic planning, portfolio optimization, and a team of real estate professionals across our global footprint. This high-impact role will develop comprehensive real estate strategies, conduct rigorous market and financial analyses, and deliver executive-level recommendations to our CFO and senior leadership. The Real Estate Portfolio Manager will oversee a team including a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist, building a high-performing function that brings the strategic rigor and analytical sophistication of established corporate real estate organizations to our rapidly scaling AI company. Responsibilities: Strategy & Executive Communication Develop comprehensive real estate strategy documents that synthesize market analysis, financial modeling, and location recommendations for CFO and executive leadership review Lead strategic portfolio planning including scenario modeling for growth, market entry/exit decisions, and long-term footprint optimization Create executive-level presentations and decision memos that translate complex real estate data into clear strategic recommendations Conduct in-depth market analyses including competitive positioning, labor market dynamics, talent availability, and cost-of-occupancy comparisons across target markets Build and maintain sophisticated financial models for real estate decisions including NPV analysis, lease vs. buy scenarios, and total cost of occupancy projections Partner with Finance on capital planning, real estate budgeting, and investment justification for major portfolio decisions Portfolio & Program Oversight Develop location strategy frameworks that align real estate decisions with business unit requirements, talent strategy, and corporate objectives Oversee occupancy planning and demand forecasting efforts, translating headcount projections into actionable space requirements and timing recommendations Direct lease administration strategy including portfolio risk assessment, lease restructuring opportunities, and critical obligation management Establish portfolio performance metrics and reporting frameworks that provide executive visibility into real estate investments and outcomes Partner with external advisors (brokers, consultants, legal) to execute strategic initiatives and negotiate favorable terms Identify portfolio optimization opportunities including consolidation, expansion, or repositioning strategies that enhance operational efficiency and reduce costs Team Leadership Manage and develop a team of two direct reports: a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist Set clear goals and priorities for the team, ensuring alignment with broader real estate and company objectives Provide coaching, mentorship, and professional development opportunities to build team capabilities Foster a collaborative, high-performance culture that emphasizes quality, accountability, and continuous improvement Allocate resources effectively across strategic initiatives and operational demands You may be a good fit if you: Have 10+ years of progressive experience in corporate real estate strategy, portfolio management, or real estate finance, with at least 3-5 years in a people management role Have a proven track record of developing and presenting real estate strategies to executives Possess sophisticated financial modeling skills including NPV, IRR, scenario analysis, and total cost of occupancy methodologies Have deep expertise in market analysis including labor economics, competitive positioning, and location strategy development Are an exceptional writer who can synthesize complex analyses into compelling strategic narratives and executive-ready documents Have demonstrated success building and leading high-performing teams Have experience managing portfolios of significant scale and complexity across multiple geographies Can operate with autonomy and drive strategic initiatives with minimal direction Have strong executive presence and can confidently present recommendations to senior leadership Thrive in fast-paced, high-growth environments where you can build processes and frameworks from the ground up Strong candidates may also: Have experience in high-growth technology companies navigating rapid scaling challenges Hold an MBA or advanced degree in real estate, finance, or related field Have relevant certifications such as CoreNet MCR or CCIM Bring consulting experience from firms specializing in corporate real estate strategy Have experience with international market entry and global portfolio optimization Have led major strategic initiatives such as headquarters relocations, portfolio consolidations, or market expansions The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 — $275,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About Startups @Vercel The Vercel Startups org exists to help founders navigate the shift to AI-native development with confidence. Startups move faster than ever—what used to take years now happens in days—and the decisions founders make early can either unlock scale or become long-term constraints. We partner with startups at the critical moments where technical, commercial, and strategic support starts to matter most. We’re a talent-dense team made up of former founders, engineers, and experienced go-to-market operators who bring firsthand experience building, scaling, and supporting modern software companies. Many of us have sat on the other side of the table, making architectural decisions, navigating tradeoffs, and scaling under real constraints, and we bring that perspective into every customer interaction. We operate with a growth mindset and strong shared ownership. We dig deep to understand our customers, work closely across functions as one team, and find ways to win even when the path forward isn’t obvious. Resilience, curiosity, and a willingness to push through hard problems are table stakes here. This is a team for people who want to operate with high trust, high agency, and high impact — alongside peers who care deeply about helping startups succeed. About the role You are an expert in Vercel, you have incredible pattern recognition, and are at the bleeding edge of the tech and tools defining how we live and work. In this role, you'll help startups unlock Vercel's full value from adoption through scaling—building relationships with founders and technical leaders who are making critical architectural decisions. You'll analyze usage patterns to identify expansion opportunities, coordinate cross-functional teams to drive outcomes, and guide teams as they adopt AI-native architectures. By leveraging automation and AI to maximize your impact, you'll help refine early plays into repeatable playbooks that scale across our startup portfolio. What you'll do Build trusted relationships with founders, developers, and technical leaders by quickly developing deep understanding of their architecture, use cases, and technical constraints Use customer signals and usage patterns to determine the right next play and focus time on the highest-leverage opportunities for adoption, expansion, or re-engagement Quarterback customers end-to-end, strategically deploying Sales Engineers, Developer Support Engineers, Product, and Support at the right moments to drive outcomes Own and grow a portfolio of startup customers by partnering with them as they move from early adoption to scale Partner with founders and developers as they adopt AI-native features and architectures, helping them understand how Vercel’s Frontend Cloud fits into a rapidly evolving developer ecosystem and supports new workloads, performance requirements, and scaling patterns Use automation, agents, and self-built workflows to operate at high leverage and focus time and energy on the most impactful customer work Operate comfortably in an evolving environment, helping refine early motions and turn what works into repeatable playbooks What you need We’re looking for someone who sits at the intersection of technical curiosity, commercial excellence, and startup mindset . You might be a great fit if you’ve developed this skill set through a range of paths—whether as a builder, founder, engineer, or in a technical go-to-market role—and you bring strong judgment, ownership, and curiosity to how you work. In practice, this looks like someone who: Learns complex technical products quickly and enjoys reasoning about how modern web and AI-native applications are built and scaled Can speak comfortably with developers and founders, using their language and earning credibility through insight rather than titles Has strong sales acumen and experience owning revenue outcomes across a range of deal sizes and complexities Believes that the best revenue outcomes come from deeply successful customers, not transactional selling Brings a thoughtful, opinionated point of view on modern web infrastructure, frontend performance, and scaling tradeoffs Thrives in ambiguity and enjoys shaping how a team and motion evolves from early to more structured Is energized by ownership, accountability, and helping customers make smart decisions What This Role Is Not Not a pure Customer Success role focused on reactive support Not a transactional sales role detached from customer outcomes Not a highly scripted role with narrow ownership or predefined motions This role requires judgment, curiosity, and comfort operating across technical, strategic, and commercial dimensions. If you’re based within a pre-determined commuting distance of one of our offices (SF, Austin or NY), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $180,000-$240,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a Digital Twin Subject Matter Expert (SME) to join our innovative team. In this role, you will leverage your expert knowledge of digital twin technology to enhance our clients' processes and product offerings. As a Digital Twin SME, you will lead the development and implementation of digital twin strategies that optimize operations, improve decision-making, and drive business value. Your expertise will enable us to provide cutting-edge solutions that incorporate the latest advancements in digital twin technology, IoT, and data analytics. You will collaborate closely with stakeholders to identify opportunities for leveraging digital twin applications across various industries. Responsibilities: Serve as a subject matter expert on digital twin technology and its applications. Lead the design and implementation of digital twin solutions that align with client objectives and operational needs. Conduct assessments to identify opportunities for digital twin implementations across industry sectors. Work closely with product development teams to integrate digital twin concepts into existing products and services. Analyze data from digital twins to provide insights that drive operational and strategic improvements. Stay current on trends and advancements in digital twin technology, IoT, and data analytics. Deliver training and workshops to clients and internal teams on digital twin methodologies and best practices. Collaborate with cross-functional teams to ensure successful project delivery and client satisfaction. Requirements Bachelor's degree in Engineering, Computer Science, or a related field; advanced degree preferred. Demonstrated experience as a subject matter expert in digital twin technology. Proven track record of designing and implementing digital twin solutions in an industrial or enterprise context. Strong understanding of IoT, data analytics, and simulation technologies. Experience with relevant software tools and platforms used for digital twin development. Excellent analytical skills and the ability to interpret complex data sets. Strong problem-solving abilities and strategic thinking. Effective communication skills, both written and verbal, with the ability to present ideas clearly to technical and non-technical audiences. Ability to work collaboratively in cross-functional teams. Willingness to travel as needed for client engagements and projects. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.