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Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking a Cloud Performance Engineer to work with technology teams across the firm to build high-performance cloud solutions for trading workloads. You will join the Cloud Performance Team, working alongside cloud engineers, software developers, Linux- and network engineers to optimize performance end to end. The ideal candidate draws on experience in cloud technology, systems engineering, networking and automation. What you will do in this role: • Design and implement cloud and hybrid cloud architectures for latency-sensitive trading workloads. • Build and maintain systems that continuously monitor the latency characteristics of distributed hybrid workloads. • Work on orchestration tooling for provisioning cloud resources as well as networking configurations and server-side processes • Build backend systems for collecting performance metrics and tooling to query it Required Qualifications: • 4+ years of experience working with Amazon Web Services (AWS), with deep knowledge of networking and compute services (EC2, VPC, Direct Connect). Good overview of the AWS service landscape and core concepts such as IAM • Experience in using IaC tools such as Terraform to manage both cloud infrastructure and a broad set of compute and networking resources (docker, K8s, Cisco devices) • Experience in network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP) and major routing protocols • Solid understanding of Linux systems and the Linux network stack • Strong background in automation via Bash scripting and Python programming, ideally in conjunction with orchestration through serverless cloud services. • Demonstratable experience working with modern AI coding agents, balancing rapid prototyping with critical review to ensure simplicity and quality of deliverables • Able to implement systems with a security-first mindset, adhering to firm-wide security policies, and best practice implementations. • Strong problem-solving skills and the ability to independently drive work to completion • Strong communication skills and ability to collaborate across teams Preferred Qualifications: • Experience building data pipelines for centralizing structured data • Experience working with Cisco routing and switching hardware • Experience working with Google Cloud Platform • Experience programming in a compiled languages (preferably Go or C++) • Experience with Linux kernel bypass techniques such as DPDK. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-LD1]

Location: Austin, TX | Remote-Friendly, United States 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 building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Texas to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within your region, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities Build and maintain trusted, sustained relationships with local elected officials, government agencies, economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the data center markets you cover Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate Represent Anthropic in public forums, town halls, planning hearings, community events, and local media Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced Work with the Communications team to develop proactive, locally relevant messaging Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications Experience in community affairs, public affairs, economic development, government relations, local or regional government, or a closely related field Direct experience working for or engaging with local governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations The ability to represent a company credibly in public settings — town halls, hearings, press interviews Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them Based in Texas or willing to relocate there, and prepared to travel regularly across the region Preferred qualifications 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government Familiarity with land use, zoning, and permitting processes at the local and regional level Experience managing corporate social responsibility programs Established relationships with economic development, workforce, or civic organizations in the markets this role covers Experience working with real estate, legal, communications, and policy teams at the same time A genuine interest in the communities where you work, not just the projects you are managing 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: $265,000 — $295,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Remote-Friendly (Travel-Required) | Washington, DC 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 Governments do some of the most consequential work there is: deciding benefits claims, getting veterans to care, investigating financial misconduct, running unemployment insurance, and producing the analysis that world leaders act on. Anthropic's public sector team exists to put Claude in the production path of that work. In the US and some allied governments, Claude is already in daily use across major agencies and US states. The next steps need a particular kind of product manager: someone who can walk into an institution they have never worked with, sit with the people doing the work and find, alongside them, the workflow that matters. The best government products we know of started as an idea that came out of the room rather than a requirements document. The scope is large: a product portfolio here is a set of governments rather than a feature area. A year in, success looks like agencies delivering services more effectively because public servants are doing core parts of their job with Claude in the loop, and at least one thing that you learn from them shipping to every Anthropic enterprise. That is a lot of surface; you will have to choose where to go deep, and we will back the choice. We are hiring across civilian, state and local, govtech, and national security portfolios and will match you to one on background and interest. Some portfolios require eligibility for a US security clearance, though most do not. You would be among the first product managers on the team, working with a dedicated engineering and research team and with the policy, go-to-market, customer success, and applied AI leads who already spend their days inside these agencies. In this role, you will: Alongside GTM, run discovery inside government institutions to find where Claude belongs in the production path of their work, then shape the product around what you find Own product decisions for our government models and product offerings and the agency workflows built on top of them Spot the government needs worth generalizing and carry them into Anthropic's broader roadmap. Many of Anthropic’s commercial features started as public-sector customer problems Help Anthropic navigate government compliance regimes Partner with our cloud and integration partners You may be a good fit if you: Have shipped successful products end-to-end. We weigh product judgment above any domain credential Can point to something you built that was your idea: it came from watching people work rather than from a requirements document Get things done through teams that don't report to you. In addition to the dedicated team, this role runs through a variety of partner teams inside Anthropic and many offices inside each agency. Move on your own clock. You have shipped in an organization with a fast cadence, or you set the pace in an environment that didn't Have built domain intuition fast in large enterprises that do not resemble each other Are a US person. We have agreements with the US Government that mandate this for these roles. Strong candidates may also have: Roughly 7+ years building and shipping products, or equivalent scope Real intuition for how government operates, earned either from the inside or at a digital services organization or by building products public servants actually use Taken a public-sector or field requirement into a commercial product that succeeded Fluency with AI products: evaluations, model behavior as part of the product surface Shipped inside a FedRAMP, classified, or comparable compliance boundary Negotiated with or steered large partners such as cloud providers or systems integrators An active TS/SCI security clearance with the US government (relevant for only some roles) Ability to travel up to 25% of the time 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Munich, Germany 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 As an Applied AI Engineer on our Enterprise team, your role is to guide some of Germany's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in German, with German executives and engineering teams, so native or fluent German is essential for the role. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude. Responsibilities Partner with Enterprise Account Executives and Applied AI Architects to take enterprise customers in Germany from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision Build and present the business value case for Claude with C-level and senior executives, in German and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market Guide customers through long, multi-stakeholder procurement and adoption cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production Work with Account Executives on account strategy, deal qualification, and executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team Travel to customer sites across Germany for executive meetings, workshops, and relationship building You may be a good fit if you have Native or fluent German, written and spoken, as you will work day to day with German enterprise customers at both executive and engineering level 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the German market, including scoping and designing complex solutions Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers Comfort presenting to, and building relationships with, C-level and VP-level stakeholders Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing A passion for making powerful technology safe and beneficial 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. Our Solutions Architects own the technical delivery of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward. We're looking for a Manager, ML Solutions Architecture to lead our EU regional SA teams. Your scope is PoC delivery and post-sales technical support : the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region. We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three. You're welcome to work remotely from any EU country. Your responsibilities will include: Lead the team Manage a team of 8 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans Build an accurate picture of each SA's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions Onboard new joiners through to their first independently delivered engagement Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope Own delivery Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today Own the operating system of the team Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy Get it used , not just written: documentation nobody reads is a cost, not an asset Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time Work across teams Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream Account management: make production handoffs uneventful, and keep post-sales technical requests moving Business and leadership: give a straight read on account health, technical feasibility, and capacity needs We expect you to have: 3+ years managing technical teams, including performance management and difficult conversations Experience managing a customer-facing team. Running a team whose work is visible to customers, on customer timelines, with customer escalations. Strong ML knowledge: LLM architectures, fine-tuning approaches (SFT/LoRA, RL-based), evaluation design, and a working command of inference internals — quantization, KV-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM) Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion Python strong enough to read and review your team's code Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down It would be an added bonus if you have: References from both former managers and former direct reports Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider Experience defining process and documentation for a team that had none Hands-on background running LLMs in production and debugging inference workloads at the framework level Work with multimodal AI models (vision-language, speech) Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code Preferred technical stack: Programming languages: Python ML frameworks and libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs MLOps and DevOps tools: Kubernetes (K8s), Docker, Git Cloud platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. Our Solutions Architects own the technical delivery of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward. We're looking for a Manager, ML Solutions Architecture to lead our US regional SA teams. Your scope is PoC delivery and post-sales technical support : the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region. We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three. You're welcome to work remotely from the United States. Your responsibilities will include: Lead the team Manage a team of 4 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans Build an accurate picture of each SA 's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions Onboard new joiners through to their first independently delivered engagement Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope Own delivery Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today Own the operating system of the team Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy Get it used , not just written: documentation nobody reads is a cost, not an asset Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time Work across teams Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream Account management: make production handoffs uneventful, and keep post-sales technical requests moving Business and leadership: give a straight read on account health, technical feasibility, and capacity needs We expect you to have: 3+ years managing technical teams, including performance management and difficult conversations Experience managing a customer-facing team. Running a team whose work is visible to customers, on customer timelines, with customer escalations. Strong ML knowledge: LLM architectures, fine-tuning approaches ( SFT / LoRA , RL -based), evaluation design, and a working command of inference internals — quantization, KV -cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM) Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion Python strong enough to read and review your team's code Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down It would be an added bonus if you have: References from both former managers and former direct reports Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider Experience defining process and documentation for a team that had none Hands-on background running LLMs in production and debugging inference workloads at the framework level Work with multimodal AI models (vision-language, speech) Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code Preferred technical stack: Programming languages: Python ML frameworks and libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs MLOps and DevOps tools: Kubernetes (K8s), Docker, Git Cloud platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $228,000 — $285,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Singapore Workplace: hybrid Partnerships Sales Manager - Singapore We are looking for a driven, entrepreneurial Partnerships Sales Manager to join our expanding global Partnerships team and support Sokin’s next stage of growth across Southeast Asia. About us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business – so businesses thrive wherever they choose to grow. We deliver services across: Global payments and receivables Foreign exchange (FX) Treasury management Finance reconciliations We are rapidly expanding, with an established presence in EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics, travel and e-commerce. As our community grows, we’re building a team of exceptional people who share our ambition to transform the future of global payments. The role As Partnerships Sales Manager, you will identify, develop and grow referral and commercial partnerships that generate sustainable revenue for Sokin across Singapore and the wider Southeast Asian market. You will manage the partner journey from market mapping and initial engagement through commercial negotiation, activation and ongoing growth. This is a hands-on commercial role for someone who can build trusted relationships, navigate regional opportunities and translate partner potential into measurable client acquisition and revenue. You will work closely with Sales, Marketing, Compliance, Product and Client Onboarding to deliver a seamless partner and referred-client experience. Key responsibilities Contribute to and execute the partnerships sales plan for Singapore and priority Southeast Asian markets, aligned with Sokin’s regional and global growth objectives. Proactively generate new partnership opportunities through consistent outbound prospecting, networking, market research and referrals, building and maintaining a healthy pipeline across Singapore and Southeast Asia. Identify, assess and prioritise high-value partnership opportunities across relevant sectors, including fintech, B2B credit, payroll, e-commerce platforms and growth agencies, systems integrators, professional services and other business ecosystems. Build a strong regional pipeline through market intelligence, existing networks, targeted outbound activity, events, referrals and collaboration with Sokin’s global commercial teams. Manage the partnership sales cycle, including discovery, qualification, business-case development, proposal creation, commercial negotiation and agreement finalisation, with support where appropriate. Engage partner stakeholders and clearly articulate the value of Sokin’s global payments, receivables, FX and treasury solutions for partners and their clients. Create joint go-to-market and activation plans that turn signed partnerships into qualified referrals, new clients and sustainable revenue. Own and grow strategic partner relationships, monitoring performance, addressing challenges and identifying opportunities to deepen engagement. Collaborate with Compliance, Legal, Product, Marketing, Sales and Client Onboarding to ensure partnerships are commercially sound, operationally executable and appropriate for the markets they serve. Maintain accurate CRM records, pipeline reporting and forecasts, providing clear visibility of partner activity, conversion, revenue potential and risk. Represent Sokin at relevant industry events and partner forums across the region, building market presence and trusted relationships. Share regional insights and partnership best practice across the business, contributing to sales planning and the continued development of Sokin’s Partnerships function. Requirements 4+ years of experience in partnerships, business development or B2B sales, ideally within payments, fintech, financial services, remittance, e-commerce or a closely related sector. A proactive hunter mindset and the confidence to initiate new conversations, build relationships from scratch and maintain momentum through persistence, curiosity and disciplined follow-up. A proven track record of originating, negotiating, activating and growing strategic partnerships that deliver measurable pipeline and revenue outcomes. Strong knowledge of the Singapore business environment and experience developing commercial relationships across one or more Southeast Asian markets; a broader regional network is a strong advantage. Experience managing multi-stakeholder sales cycles and building credibility with commercial and operational decision-makers. Commercial understanding of cross-border payments, FX, treasury or related financial solutions, together with an awareness of the varied regulatory and operating environments across Southeast Asia. Excellent negotiation, communication and stakeholder-management skills, with the ability to create compelling, value-led propositions for different partner types and markets. Sound analytical and commercial judgement, with the ability to assess strategic fit, revenue potential, implementation requirements and risk. Highly organised and self-directed, with disciplined CRM, pipeline-management, forecasting and reporting habits. Comfort working in a fast-paced, international fintech or scale-up environment and collaborating effectively across functions, cultures and time zones. Willingness to travel across Southeast Asia as business needs require. Desirable Previous experience in fintech, payments, financial services or another relevant finance-led environment. A strong established network among prospective partners in Singapore and across Southeast Asia. Additional language capabilities relevant to Sokin’s priority markets in Southeast Asia. Bachelor’s degree in Business, Finance, Marketing or a related field, or equivalent professional experience. Experience using modern sales tools and CRM platforms; Zoho experience is an advantage. Working at Sokin You’ll join an ambitious, international team in a fast-paced fintech environment, with the opportunity to shape Sokin’s partnerships presence in one of our key growth regions and make a visible contribution to our global expansion. Please note: candidates must have the right to work in Singapore. Sokin is committed to building an inclusive workplace and welcomes applications from suitably qualified candidates.

Location: Singapore Workplace: hybrid Business Development Executive - Singapore We are seeking a highly motivated, adaptable and resourceful Business Development Executive to join our growing commercial team in Singapore and help build Sokin’s sales pipeline across Southeast Asia. About us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business – so businesses thrive wherever they choose to grow. We deliver services across: Global payments and receivables Foreign exchange (FX) Treasury management Finance reconciliations We are rapidly expanding, with an established presence in EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics, travel and e-commerce. As our community grows, we’re building a team of exceptional people who share our ambition to transform the future of global payments. The role As a Business Development Executive, your primary responsibility will be to source, engage and qualify prospective clients, then secure well-qualified meetings for Sokin’s sales team. You will spend a significant part of your time on the phone, combining high-volume cold calling with personalised email, LinkedIn and warm outreach to build a consistent pipeline across Singapore and Southeast Asia. You will also respond quickly to leads generated by Marketing, meet prospects at industry events and nurture early-stage opportunities through disciplined follow-up. Working closely with Marketing, Customer Experience (CX) and Sales, you will ensure prospects receive a relevant, timely and professional experience from first contact through to handover. This is an excellent opportunity to build a career in global payments, FX and B2B sales. Key responsibilities Make consistent, high-quality outbound calls to prospective business clients, using a confident and consultative approach to open new conversations and generate qualified opportunities. Research and identify target companies and decision-makers through LinkedIn, CRM intelligence, industry publications, event lists, referrals and other prospecting channels. Execute coordinated cold and warm outreach across phone, email, LinkedIn and social channels, tailoring messages to each prospect’s business and cross-border payment needs. Respond promptly to inbound and marketing-generated leads, assess their level of interest and fit, and maintain momentum through timely, persistent follow-up. Conduct initial discovery and qualification conversations to understand each prospect’s business model, international payment flows, FX exposure, pain points, priorities and decision-making process. Schedule qualified discovery meetings and product demonstrations for the sales team, providing complete context and coordinating a smooth handover. Attend relevant industry events, conferences and networking opportunities, proactively engaging potential prospects and following up event-generated leads after each activity. Work closely with Marketing on target audiences, campaigns, messaging, events and lead feedback, helping improve lead quality and conversion. Partner with CX and Sales to ensure prospects receive accurate information, appropriate support and a consistent experience throughout the early sales journey. Maintain accurate and timely CRM records for every interaction, next step and qualification insight, and manage follow-up tasks with strong discipline. Deliver against agreed activity, meeting and qualified-opportunity targets, while continually improving outreach effectiveness through coaching, feedback and performance data. Share market feedback, common objections and prospect insights with Sales, Marketing and CX to help strengthen campaigns, messaging and the wider go-to-market approach. Requirements Proven experience in an outbound sales, business development, telesales or lead-generation role, including regular cold calling and cold outreach to business prospects. Confidence and resilience on the phone, with the ability to build rapport quickly, handle objections and maintain energy across a high volume of conversations. A strong hunter mentality and genuine motivation to create new opportunities, supported by persistence, curiosity and disciplined follow-up. Excellent written and verbal communication skills, with the ability to deliver clear, concise and relevant outreach across phone, email and LinkedIn. Ability to conduct structured initial discovery, ask thoughtful questions and qualify prospects against agreed criteria. Strong collaboration skills and the ability to work closely with Marketing, CX and Sales in a fast-moving, target-driven environment. Highly organised, with excellent time management and the discipline to manage multiple prospects, follow-ups and deadlines simultaneously. Experience using CRM and sales-outreach tools, with a commitment to accurate data entry and activity tracking. Results-driven and comfortable working towards clear activity, meeting and qualified-opportunity targets. Interest in developing a career in B2B sales, fintech, global payments, FX or financial services. Desirable Experience in fintech, payments, FX, financial services or another B2B environment. Knowledge of the Singapore business environment or exposure to prospecting across Southeast Asian markets. Experience following up leads from digital campaigns, events, webinars or other marketing activity. Additional language capabilities relevant to Sokin’s priority markets in Southeast Asia. Experience using LinkedIn Sales Navigator, sales-engagement tools or Zoho CRM. Diploma or bachelor’s degree in Business, Finance, Marketing or a related field, or equivalent professional experience. Working at Sokin You’ll join an ambitious, international team in a fast-paced fintech environment, with ongoing coaching and the opportunity to build your commercial skills, deepen your payments knowledge and develop a long-term career in sales. Please note: candidates must have the right to work in Singapore. Sokin is committed to building an inclusive workplace and welcomes applications from suitably qualified candidates.

Location: Remote, Canada; Remote, Poland; Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Backend Engineer (Python) in GitLab's Agent Foundations stage, you'll go beyond using AI tools. You'll help build the foundations for GitLab's agentic AI experiences: the platform that lets AI agents work across the whole software delivery lifecycle, not just write code. That covers the reusable building blocks agents and flows are made from as well as our core harness, Duo Developer. Most of your work will be backend engineering in Python, using libraries such as LangGraph to build secure, reliable and scalable features in our AI Gateway. You'll also work across the stack where needed. You'll work closely with engineers across the stage and other AI Engineering teams. This is a high-visibility area where GitLab's core platform meets its AI strategy. What you'll do Develop, ship and maintain features for the Duo Agent Platform in the Duo Workflow Service, the AI Gateway and, where needed, the GitLab monolith. Keep them secure, well-tested and performant. Build and improve agentic flows and their reusable parts with LangChain and LangGraph, including the Flow Registry. Work with Product Management, UX, frontend, backend and AI specialists to refine requirements and ship improvements in small iterations. Design, implement and review APIs (including GraphQL and REST) and the backend logic behind them, with reliable, scalable and clear contracts for clients such as the GitLab monolith, IDE extensions and Duo CLI. Improve and extend automated testing (pytest and other frameworks), including evaluations of agent and flow behavior, to strengthen quality and give developers faster feedback. Share standards, patterns and learnings with other engineers to raise the bar for responsible AI integration and evidence-driven engineering. Join Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and improve observability and resiliency. Keep an eye on the competitive landscape to help keep GitLab's agent platform best-in-class as more work becomes agentic. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience building and maintaining production Python backend applications, including APIs, asynchronous or background processing, and data models. Experience with LLM application frameworks such as LangGraph, or designing and shipping AI-powered backend features or harnesses. Skill in designing or extending APIs (REST, GraphQL or gRPC) with attention to scalability, maintainability and backward compatibility. Comfort working across the stack in a mature codebase. Familiarity with Ruby on Rails and/or JavaScript and Vue is a plus. Experience finding and fixing performance bottlenecks in applications. Clear written and verbal communication, including technical proposals and documentation, in a remote, async, cross-functional team. Openness to learning and to applying skills from related technologies or fields. About the team The Agent Foundations stage builds the foundations for GitLab's agentic AI experiences. We provide the platform, catalog and execution features that help teams deliver resilient agents and flows to customers. The stage has three groups: Agent Developer, AI Catalog and Agent Execution. Between them, they own the GitLab Duo Developer foundational flow and the Flow Registry; the AI Catalog, including custom agents, custom flows and external agent integrations; and agent execution, agent tools and agent observability. Our engineers work async-first across EMEA, AMER, and India timezones. We work with teams across AI engineering and the rest of GitLab so the Duo Agent Platform can power many of GitLab's AI features. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Berlin Office; Norway; Netherlands; Portugal; Germany; Finland; Denmark; United Kingdom; Spain Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. We’re now looking for a Sales Enablement Manager to make sure our GTM team scales just as fast - and just as effectively. 🎯 Your main goal will be to enable GTM teams to close more deals faster by providing the knowledge, resources, and training they need to succeed at every stage of the buyer journey. You’ll be helping us build on early-stage existing foundations (onboarding, certifications, tooling) and take it to the next level as we scale. This is a high-impact, hands-on role with a direct line to revenue outcomes.   🚀 BUILD ONBOARDING THAT SHORTENS RAMP TIME AND BOOSTS IMPACT - Design and deliver world-class onboarding for new GTM team members across Sales, Customer Success, and Solutions Engineering. - Track and continuously improve ramp time through tailored strategies and performance feedback loops. - Collaborate with leadership to define what “great” looks like across roles and build onboarding paths accordingly. 📚 CREATE SCALABLE ENABLEMENT PROGRAMS THAT DRIVE REVENUE - Translate product updates, GTM strategies, and technical concepts into clear, actionable content. - Identify knowledge gaps and build role-specific enablement initiatives to address them. - Design certifications and training frameworks (e.g. demo, discovery, technical proficiency) to ensure consistency and quality across the field. 🎤 RUN HIGH-IMPACT ENABLEMENT EVENTS AND INTERNAL COMMS - Support the planning and execution of team-wide enablement moments like SKOs, regional kickoffs, and quarterly readiness sessions, partnering closely with sales and revenue leadership on strategy and messaging. - Act as the voice of enablement for GTM teams, making sure they have the right information at the right time, through the right channels. - Partner closely with Product, Product Marketing, and RevOps to sync launches, messaging, and process changes. 📊 MEASURE WHAT MATTERS AND MAKE ENABLEMENT A GROWTH DRIVER - Define and track KPIs to demonstrate enablement’s impact on sales productivity, pipeline velocity, and deal size. - Build a competency scorecard with GTM managers to support coaching and performance management. - Use insights from sales calls, Gong data, and product usage to continuously refine your programs. REQUIREMENTS MUST-HAVES - 🧠 Sales enablement experience in PLG SaaS: You have 4+ years of enablement experience at fast-growing SaaS companies, ideally building enablement from scratch in a PLG environment. - 💼 Deal complexity experience: You've enabled teams selling mid-market to enterprise deals (6 to low-7 figures). - 🧑‍💻 Technical buyer fluency: You understand how to sell to technical personas (CTOs, engineering managers) and can translate that into training that resonates with a technical AE audience. - 📚 Learning program design: You’ve built high-quality, scalable training programs tailored to different GTM roles and seniority levels. - 🗣️ Strong communicator: You excel at turning complex technical concepts into clear, compelling, and actionable content for sales teams. - 🧘 Organized and proactive: You’re structured, self-directed, and take ownership without needing hand-holding. - 🤝 Customer-first mindset: You focus on enabling the team to better articulate our value and deliver better buyer experiences. NICE-TO-HAVES - 🤖 Passion for automation and AI: You’re excited by the space we’re building in — and it shows. - 🔧 Familiarity with n8n: You’ve used the product (or are eager to start). WHY JOIN US? This is your chance to build something from the ground up: a high-leverage enablement function in a high-growth company, with a direct line to revenue impact. You'll be joining a supportive, fast-moving, and collaborative team where enablement is viewed as a strategic lever — not a support function. Help us scale our product, our message, and our people. Apply now — and help us turn our GTM teams into a world-class sales engine. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

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 As a Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments. You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement. This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now. Responsibilities Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against. Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDEs. Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Own product scoping during delivery. Author requirements, prioritize the engineering backlog, manage scope against success criteria, and hold the bar for what good looks like for the people and enterprises who will use the product. Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. Contribute reusable delivery patterns. Capture what works on your engagements and feed field signal to the Programs Leads, Product, and Research. Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. Run engagement-level delivery operations: sprint ceremonies, milestone reviews, and engagement reporting that feed the team's post-sales cadence and dashboards. Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected). You May Be a Good Fit If You Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. Operate like the CEO of your engagement. You take initiative without a mandate, make decisions with incomplete information, and lead rather than wait for instructions. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.). Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making - ideally across multiple workstreams in regulated industries. Have executive presence - polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. Thrive in ambiguity and bring structure where none exists. Have a builder's mindset - you're here to create a function, not just join one. 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: £165,000 — £230,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Limassol, Cyprus Workplace: remote Mayflower is an international technology company behind products used by millions of people worldwide. For more than 10 years, we've been growing profitable global businesses, bringing together talented professionals across technology, product, marketing, and operations. We are seeking an experienced Recruiter to join our Talent Acquisition team. Job Responsibilities Drive the full recruitment cycle for complex and niche positions, taking ownership of the process and ensuring successful, timely hires. Lead executive search projects, including market mapping, headhunting, direct outreach, and managing stakeholder expectations at senior levels. Partner with business leaders to shape hiring strategies: provide market insights, advise on role design, and adapt approaches to business needs. Oversee and optimize the hiring pipeline, ensuring transparency, accurate forecasting, and delivery against SLA/KPI targets. Act as a trusted advisor to hiring managers: align on hiring priorities, support interview quality, and ensure structured, objective evaluation. Proactively source top talent using advanced sourcing techniques and deep international market research. Develop and maintain a strong talent network to build future hiring pipelines and reduce time to hire. Leverage recruitment analytics to monitor funnel health, identify bottlenecks, and drive continuous improvements. Champion the candidate experience, ensuring every touchpoint reflects professionalism, transparency, and care. You’ll thrive here if you have 5+ years of experience in Tech/IT/Product Recruitment, covering both engineering and non-tech roles (Marketing, Operations etc). Experience in executive search: hiring for senior leadership roles, including close collaboration with top management Fluency in Russian and English is a must-have. Strong expertise in full-cycle recruitment - from defining the hiring profile to successful offer acceptance - with international hiring and relocation experience. Ability to build and develop strategic partnerships with hiring managers, providing guidance, influencing decision-making, and training them on recruitment best practices. Solid skills in managing recruitment pipelines: planning, forecasting, and ensuring a consistent flow of candidates. Experience with recruitment analytics: working with metrics (time to hire, conversion rates, offer acceptance rate) and using data to improve processes. Excellent communication, negotiation, and interpersonal skills. Strong networking abilities and in-depth knowledge of international talent markets. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: Full remote work. Competitive compensation with a service contract. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most. Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage. Career growth in a fast-scaling project with opportunities to influence technical decisions. A culture of recognition: our peer reward program celebrates contributions from across the team. Benefits are provided in accordance with the company's policies and eligibility criteria. Recruitment process HR Interview Final interview with Hiring Team

Location: Tokyo Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. Wrikeの日本オフィスは2019年にスタートし、年々マーケットを拡大させています。日本オフィスのメンバーはコラボレーションマインドをもち、お客様のビジネスにおける生産性を向上するため協力、共創しています。我々のプラットフォームをお客様に活用してもらうことでお客様と一緒に成長しましょう！ About the Role: You'll own your outcomes, from the strategies you run to the conversations that shape what we build next. The Partner Account Manager represents Wrike in all activities associated with partner recruitment, partner business development, and partner support. The primary responsibility of the role is to help grow partner sales. This is accomplished through multiple activities, including developing strategies with partners for differentiation, market penetration, and revenue/margin growth as tools to achieve and surpass quota. You will be responsible for strengthening relationships between partners and Wrike teams, including but not limited to Sales, Partner Marketing, Partner Success, and Partner Operations, with the ultimate goal of strengthening long-term relationships between Wrike and our partners. In addition to driving partner motion, this hybrid role may directly manage a select portfolio of key enterprise accounts as a dedicated Account Manager, taking full ownership of direct customer revenue and expansion for accounts that act concurrently as customers and strategic partners. The range of partners includes certified Resellers, System Integrators, and Wrike Strategic Partners. Your Impact: Hybrid Key Account Ownership: Function as the primary Account Manager and Partner Manager for designated dual-relationship enterprise accounts, balancing direct customer sales expansion (upsell/cross-sell) with strategic partner enablement and co-selling. Competitive Selling: Differentiate Wrike’s solution from competitor solutions when addressing defined, short-term/tactical projects or specific tactical needs. Consultative Selling: Understand customer and/or partner industry dynamics and quickly learn their specific strategies, priorities, and challenges. Start with the customer/partner point of view and fit the Wrike solution/advantage into that picture. Orchestrating Resources: Persistently lead, influence, and choreograph cross-functional and partner selling teams to ensure that customer expectations and agreements are met or exceeded. Partner/SI Leverage: Strengthen existing partner/SI relationships by crafting a productive cadence of interaction with them around current and future sales opportunities. Partner/SI Management: Develop a detailed business plan, including organizational charts and strategic and tactical goals. Develop and leverage strong sponsors/advocates to expand presence and relationships with key line-of-business decision-makers across the partner organization. Pipeline Development and Management: Proficiently leverage daily interactions with partners and customers to develop new relationships and listen for new opportunities. Manage and scale enterprise deal pipelines. Product Knowledge: Develop a detailed understanding of the positioning and business value of Wrike’s products and solutions. Apply an in-depth understanding of Wrike’s product, programs, sales methodology, and licensing to address sophisticated partner and customer issues. Enablement & Growth: Drive and lead continual training activities that articulate Wrike’s strategic direction, product and technology roadmaps, go-to-market planning, and demand creation. Independently develop a plan for overall channel partner sales growth. Your Qualifications: Fluent in Japanese and English. Years of experience in sales or channel marketing within the High Tech industry, with experience in both direct enterprise sales and channel sales. Bachelor’s degree or equivalent work experience. Background working for alliance/channel partner organizations or managing complex, dual-model enterprise accounts. Standout Qualities: Deep understanding of how partners make money in a channel ecosystem alongside direct SaaS selling dynamics. Experience working with top Japanese partners like Dentsu, SoftBank would be highly desirable. Solid grasp and knowledge of Wrike’s product and value for customers. Ability to navigate complex corporate structures where accounts operate simultaneously as buyers and co-sellers. Strong financial savvy to hold strategic business discussions with C-level stakeholders across both customer and partner functions. Highly adaptable to changes in business direction, products, and needs from both a customer and partner perspective. Team Dynamics: You will work with Wrike teams, including but not limited to Sales, Partner Marketing, Partner Success, and Partner Operations, as well as cross-functional and partner selling teams. Our Work Style: This hybrid role combines partner management with the direct management of a select portfolio of key enterprise accounts. It includes partner recruitment, partner business development, partner support, direct customer sales expansion, strategic partner enablement, co-selling, pipeline management, and continual training activities. Benefits & Perks: 18 Company Holidays + Paid Vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Health & Accident Coverage Life & Long-Term Disability Insurance Corporate Pension w/ Wrike Contribution Commuter Allowance Your recruitment buddy will be Tripti Sachan , Senior Recruiter. #LI-TS1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

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 Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have: 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Native English and (Bonus) Fluency in French, German, Spanish or Italian 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: £135,000 — £165,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Mumbai Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges.  QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The global infrastructure team ensures the stability, performance, and optimization of QRT’s technology environment. The team collaborates with engineers, business stakeholders, and end users to troubleshoot issues, improve monitoring and instrumentation, and deliver solutions that support latency-sensitive trading platforms. Who we are looking for We are seeking an exceptional Technical Program Manager to join the QRT IT infrastructure team tasked with driving the innovation of its next generation systems infrastructure. This is an exciting opportunity for the right candidate to help facilitate QRTs’ growth. The successful candidate will be accountable for the end-to-end delivery of multiple parallel infrastructure projects to support our growing trading venues footprint. You will be working closely with QRTs compute, network engineering and data center operations teams as well as QRT’s partners and financial exchanges. As part of the role, you will be exposed to trading and enterprise projects - working in a fast paced, collaborative and supportive environment delivering best in class infrastructure for the business. Your future role within QRT •  Plan and manage the infrastructure delivery of new trading sites in colocation at proximity venues through effective project/task management and resource planning •  Assist the networking team in gathering requirements and coordinating with vendors, brokers and exchanges for new connectivity/access to markets •  Manage infrastructure provisioning and deployment across colocation and regional data centres, ensuring performance and scalability •  Assist QRT infrastructure team in managing allocation of compute resources across all QRTs colocations and datacentres. •  Build up working knowledge of QRT’s business and technology stack •  Ensure project stakeholders are kept up to date on status / timelines / project blockers using the Atlassian JIRA system •  Ensuring infrastructure projects are delivered on time and to the highest quality Your present skillset •  At least 10 years’ experience delivering electronic trading infrastructure implementations •  Previous experience of the financial technology industry is a must •  Knowledge of trading colocation environments is a must •  Strong knowledge of trading infrastructure (Linux, Networking) •  Good working knowledge of exchange connectivity (market data/order entry) •  Effective project management skills and practices. •  An analytical thinker with excellent problem-solving abilities. •  Excellent communication & collaboration skills QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London; Europe; Toronto Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role overview: North is Cohere’s AI workspace platform for enterprises: a secure, customizable environment where companies can use AI across their real workflows while maintaining control over sensitive data. North connects AI agents with workplace tools, applications, and business context, helping users delegate complex work, build automations, inspect outputs, and collaborate with AI in production environments. As North becomes more capable, one of the most important questions is also one of the hardest: how do we know whether the model is actually getting better for the workflows customers care about? This role is about being the voice of North inside modelling. You will build the evaluation systems, feedback loops, and applied modelling workflows that make sure model progress translates into better product outcomes for North users. You will work closely with North product teams, customer-facing teams, and modelling teams to define what “good” means across the product surface, turn real usage and product direction into high-quality evals, and use those evals to guide model selection, patches, and regular model updates. This is neither a pure research role nor a conventional product engineering role. It is a rigorous applied MLE role for someone who cares deeply about measurement, model behavior, and real-world product quality. You should be excited by the craft of building careful evals: evals that capture messy agentic workflows, reflect actual customer needs, resist superficial benchmark hacking, and provide useful signal for where the product and models need to go next. Please note: this team works closely across Europe and East Coast North America time zones. We are open to candidates who can collaborate effectively within those hours. Key responsibilities: - Own the eval strategy for North: define what we need to measure across agent workflows, tool use, enterprise knowledge work such as deep research, document creation or editing, and other human-AI interactions. - Build high-quality evals from the realities of the product: user feedback, production failures, privacy-preserving usage logs, internal dogfooding, customer needs, and forward-looking product goals. - Create systems that continuously turn what North is learning from users, customers, and feature teams into evals, so measurement keeps pace with the product rather than becoming a static benchmark. - Be the voice of North inside modelling: extract clear insight from eval results, customer-derived data and product context, then turn model failures, capability gaps, and North-specific needs into actionable recommendations for the central modelling teams. Qualifications: - You have improved LLM-powered, agent-powered, or AI-product systems through evals, feedback loops, data curation, prompting, model adaptation, or model selection. - You care deeply about evaluation as a craft: representative tasks, precise rubrics, clean data, failure analysis, regression tracking, and knowing when a metric is giving false confidence. - You have strong applied MLE judgment and can reason clearly about model behavior, eval validity, product outcomes, and production tradeoffs. - You are comfortable working close to users and product teams, while translating messy qualitative signals into measurement that other modelling teams can act on. - You are self-directed, practical, and motivated by open-ended problems where the right answer requires both technical depth and product understanding. - You care about making AI systems genuinely useful in real enterprise settings, not just better on abstract benchmarks. If some of the above does not line up perfectly with your experience, we still encourage you to apply. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote, Austria; Remote, Germany GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Engagement Manager, PS Sales focused on Germany, you will play a critical role in driving GitLab’s growth in the region by structuring services engagements that create true partnership and shared success with our customers. You will lead efforts to design, position, and close outcome-oriented professional services engagements that translate complex DevSecOps and digital transformation initiatives into clear, measurable mission-critical outcomes. Reporting to the Senior Manager of Engagement Management, EMEA, you will work at the intersection of technical solutioning and customer requirements, aligning each engagement to their unique needs and objectives.  In your first year, you will build trusted advisor relationships with technical leaders and partners to help integrate professional services into account strategies from early discovery through successful delivery. This is a unique opportunity to shape large-scale implementations that improve how customers plan, build, secure, and operate software using GitLab. Some examples of our projects Designing and structuring outcome-based professional services engagements that align GitLab capabilities to customers needs Partnering with account executives, solutions architects, and delivery leaders to turn complex DevSecOps transformations into clear, actionable implementation roadmaps and statements of work What you'll do Build trusted advisor relationships with division chiefs, program managers, and technical leaders Conduct discovery sessions with with prospects and Systems Integrators to understand current-state capabilities, requirements and desired business outcomes Design outcome-oriented services proposals that align GitLab capabilities with customer success metrics and objectives Structure engagements and commercial proposals to clear outcomes maintaining flexibility for staff augmentation and packaged offerings when needed Develop custom-scoped SOWs and staffing plans for complex implementations, engaging with technical architects and delivery leadership to ensure deliverability Articulate GitLab's services value proposition, catalog offerings, and implementation methodologies in the context of customer requirements Gain agreement on scope and price while guiding customers through commercial terms, procurement processes, and contracting structures Manage project- and account-level escalations, ensuring rapid resolution and maintaining customer confidence Position consulting, training, success tiers, and additional solutions proactively to ensure successful outcomes and long-term customer retention Facilitate solutioning sessions including implementation roadmapping, enterprise strategy discussions, and executive-level requirements gathering Drive measurable outcomes by structuring services that support customer success metrics, accurately forecasting services bookings, and tracking key performance indicators related to bookings, margin, and attachment to strategic opportunities. Own the engagement lifecycle from initial discovery and pre-sales solutioning through scoping, SOW development, staffing alignment, and transition to delivery, ensuring engagements are deliverable, clearly defined, and outcome-oriented. Influence cross-functional teams by articulating GitLab’s professional services value proposition in the context of federal requirements and compliance frameworks, and by feeding customer insights back into sales, delivery, and practice management. Partner with regional sales and engagement leadership to prioritize and manage services opportunities that support critical deals and strategic initiatives, providing clear recommendations on risk management, negotiation strategies, and commercial structures. Foster a culture of enablement and continuous improvement by training field teams on how to position and sell professional services by sharing trends, feedback, and suggestions that improve go-to-market content and operational processes. What you'll bring Demonstrated progressive experience structuring, scoping, and selling professional services engagements in the region Proven success operating in a pre-sales context, conducting discovery, designing outcome-oriented proposals, and developing custom statements of work (SOWs) and staffing plans for large, complex implementation projects. Solid understanding of software development lifecycle (SDLC), DevOps practices, and cloud transformation initiatives, with the ability to connect technical solutions to mission objectives and measurable business outcomes. Effective communication and interpersonal skills with executive presence, able to build trusted advisor relationships with division chiefs, program managers, contracting stakeholders, and senior technical leaders. Highly developed facilitation, negotiation, and problem-solving skills, including the ability to guide customers through acquisition processes, commercial structures, and risk mitigation strategies. Comfort working cross-functionally with sales, solutions architecture, delivery, and operations teams to align on deal strategy, staffing, and successful execution in a fast-paced environment. Capacity to work autonomously and asynchronously in a fully remote setting, managing multiple complex opportunities while maintaining accurate forecasting and consistent alignment with GitLab values and goals. The Professional Services Engagement Management team at GitLab is dedicated to designing and structuring services engagements that set our customers up for successful, long-term adoption of our DevSecOps platform. We build and manage strategic relationships with customers to understand their goals, surface their services needs, and translate complex transformation initiatives into clear, outcome-oriented engagement plans. Composed of experienced services, consulting, and delivery professionals distributed across multiple regions, we operate asynchronously to support field teams, shape implementation strategies, and guide customers through their services journey. We focus on creating scalable engagement models, fostering open communication with internal stakeholders, and adapting our services offerings to the evolving needs of a rapidly maturing organization and its customers. For more on how our team works, see the Professional Services Engagement Management handbook page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Berlin Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. This role will be working at Lion Studios Lion Studios is a mobile games publisher that works with mobile developers to get their games discovered by players around the world. Headquartered in San Francisco, Lion Studios’ creative and strategy teams utilize their expertise to help game developers break through the noise and grow their businesses. Since launching in 2018, Lion Studios has driven 90% of its games to the Top 10 in the App Store and Google Play and helped drive 16 games to #1 in the US App Store’s Top Free chart. Role Overview As a Game Designer, you will support our Turkish teams and work on our successful casual puzzle titles. You’ll work closely with external development teams, studio managers, and you'll have the exciting opportunity to ideate, craft, and analyze our existing and future puzzle games, contributing to their success. You’ll thrive here if you’re a versatile game design generalist with a strong interest in level design, comfortable building relationships across multiple teams, and able to balance creative judgement with data-informed decision-making. Responsibilities Design engaging & challenging core gameplay loops, player experiences, and monetization strategies. Partner with external studios in Turkey throughout the new game development pipeline, from early concepts to playable builds. Design new mechanics that enhance depth and progression while fitting seamlessly into the game’s design approach. Evaluate player data, identify trends, and optimize level funnels for retention and monetization. Collaborate cross-functionally with developers to align with overall product goals. Keep an eye on top-performing games to understand market trends and extract insights. Required Skills, Knowledge and Expertise At least 3+ years of experience as a game designer, or in a similar field. Professional experience in game design, with the ability to contribute across mechanics, systems, progression, and player experience. Confidence using data and player insights to identify design problems and recommend solutions. Strong creative and problem-solving skills, with the ability to collaborate and communicate effectively with cross-functional stakeholders to align design with the product vision. Advanced analytical skills, ability to spot patterns and trends Experience with balancing levels and funnel optimization Fluency in Turkish and the ability to communicate effectively with Turkish-speaking studio teams. Desired Skills Game design experience as a publisher in puzzle genres is a huge plus Experience with liveops, A/B testing, or data-informed iteration cycles. Familiarity with Figma or similar visual collaboration software for mock-ups Proficient using AI tools for generating early prototypes Track record of publishing/working on successful hypercasual, casual, or AAA titles Working at Tripledot 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Supplemental Health Insurance: Continentale: annual budget of 1200 eur - reimbursement for healthcare outside of public plans (glasses, massages, dental treatments etc.) Public Transportation reimbursement: 100% of public transportation to the office via BVG ticket is covered Daily Free Lunch: Order free food from Wolt when at the office Pension plan : Opt-in to employer contributed pension plan, operated with Degura