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Location: Sydney, Australia 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 Head of Customer Success, APAC at Anthropic, you will build and lead our Customer Success function across Asia Pacific. You will scale a team of managers and CSMs who help our most strategic APAC customers realize the full value of Claude. This is a foundational leadership role: you will establish how we run CS in the region, hire and develop a multi-market team of managers, and partner closely with your global counterparts to deliver a globally consistent customer experience while localising where it matters. APAC is not one market. You will lead across India, Japan, Korea, ASEAN, and Australia and New Zealand (ANZ), each with its own buying culture, regulatory context, language needs and pace of AI adoption. You will work hand-in-hand with global GTM, Product and Engineering leaders to shape our APAC CS strategy, take APAC customer priorities back into the business, and drive adoption, retention and growth across some of the most exciting markets in the world. Key responsibilities Build and lead a multi-layered Customer Success organisation across APAC, managing managers and scaling the team responsibly as our APAC business grows. Define and execute the APAC CS strategy in close partnership with global CS leadership, aligning with the global agenda while localising approach, motion and programmes for APAC market dynamics. Own CS business outcomes including customer health, retention, expansion and satisfaction across APAC accounts. Hire, develop and coach a high-performing team of CS managers and individual contributors, building a culture that reflects Anthropic's values across Asia's diverse geographies, languages and working cultures. Partner with global CS, Sales, Product and Engineering teams so the voice of APAC customers reaches decision-making forums. Establish scalable processes, playbooks and operating cadences that work across APAC time zones (India to Japan, Korea and ANZ) and overlap responsibly with global teams. Represent Anthropic with senior customer stakeholders across APAC, leading executive engagements, QBRs and strategic account conversations with enterprises, digital natives, startups and public sector bodies. Build strong working relationships with APAC channel and cloud partners, and with systems integrators and consulting firms that shape enterprise AI adoption in the region. Contribute to global CS strategy as a senior leader, bringing an APAC perspective to team planning, segmentation and prioritisation. Help shape how we deploy AI responsibly with customers across APAC's varied regulatory environments, including data residency, privacy and sector rules in markets such as India, Japan, Korea, Singapore and Australia. Minimum qualifications 15+ years of experience in management consulting, technology consulting, professional services or customer-facing advisory roles, with a track record of advising senior client executives on complex transformation programmes. Experience building and leading multi-market Customer Success or Technical Success organisations, including managing managers Track record of scaling CS teams across APAC at enterprise software, SaaS or AI/ML companies Demonstrated ability to balance global alignment with regional localisation across multiple APAC markets and cultures. Strong people leadership: a clear philosophy on hiring, coaching and developing managers and senior ICs. Experience owning enterprise customer relationships and driving measurable business outcomes (retention, expansion, adoption) in APAC markets. Strong executive presence and the ability to represent a company credibly with C-suite stakeholders across APAC. Excellent cross-functional partnership skills, particularly working across time zones with global leadership teams. Preferred qualifications Experience leading Customer Success across APAC Working fluency in an APAC language (for example Japanese, Korean or an ASEAN language) or a strong record of leading teams that operate in those languages Experience standing up a CS function in a new APAC market from the ground up Background in API products, developer platforms or consumption-based business models Familiarity with AI/ML technologies and the ability to explain complex technical concepts to business audiences Experience working with APAC hyperscaler, channel and SI partners on joint customer delivery Track record of influencing global product roadmaps through structured customer feedback from APAC markets Passion for responsible AI development and deployment 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: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is shaping the future of Go-To-Market, and as a Solutions Consultant (SC), you’ll bring that future to life by building alongside customers and turning their biggest challenges into measurable outcomes. As a customer-facing, quota-carrying SC, you’ll bring together technical fluency and commercial ownership to grow your book of business. You’ll build pipeline with BDRs, engage key stakeholders, lead discovery, co-build workflow solutions live with customers, and guide opportunities through close. You’ll connect each solution to a clear business case and stay engaged through adoption, expansion, and renewal so customers realize the value of what they buy. You’ll partner with BDRs, Outcomes Architects, and technical or product specialists while maintaining clear ownership of customer relationships, opportunity momentum, and next steps. If you’re a builder who loves to sell—and want to work at the intersection of AI, productivity, and enterprise—this is the role. WHAT YOU'LL ACHIEVE: - Create pipeline across your book of business. Build target-account plans with BDRs and initiate outreach to priority stakeholders to generate qualified opportunities, alongside BDR-sourced pipeline. - Own opportunities from first conversation through close. Lead discovery, qualify business needs and urgency, align stakeholders, shape the solution and business case, and drive the evaluation and commercial decision. Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path. - Design and validate workflow solutions that deliver measurable value. Map current- and future-state workflows, co-build solutions live in Notion, and define realistic scope, success criteria, and an implementation path. Translate customer needs and validated outcomes into a clear business case, commercial recommendation, and decision path. Treat discovery as an opportunity to build and validate. - Orchestrate the right partners while maintaining ownership. Engage BDRs, Outcomes Architects, and technical or product specialists at the right moments, with clear context and asks, while owning opportunity momentum, customer communication, and next steps. - Drive customer value and commercial growth after signature. Partner with Outcomes Architects, guide the initial path to value with a clear adoption plan, on onboarding and ongoing multi-workflow adoption, and own expansion strategy and renewal planning. Stay accountable for translating credits sold into credits consumed, and surface risks or expansion opportunities as customer workflows mature. SKILLS YOU'LL NEED TO BRING: - Commercial ownership and pipeline generation. You can demonstrate how you created or advanced business, influenced customer decisions, and owned measurable outcomes. Relevant experience may come from quota-carrying sales or adjacent customer-facing roles. - Technical fluency and builder mindset. You are comfortable building live in software and can demo, co-design, and troubleshoot with a customer without needing a specialist in the room. - AI fluency. You are excited about AI, build with new tools, and continually learn new ways of working. - Discovery, qualification, and value articulation. You can uncover customer needs, map workflows, qualify business impact and urgency, and translate what you learn into commercial outcomes, adoption plans, and clear success criteria. - Agency, urgency, and learning velocity. You set clear goals, take initiative, learn from customer interactions, and apply those learnings to improve outcomes. You bring new ideas and workflows to customers and make complex problems easier to solve. - Complex customer engagement. You can lead multi-stakeholder interactions and navigate procurement, legal, and security review cycles. NICE TO HAVES: - Full-cycle B2B software sales experience or solutions engineering experience, with a consistent track record of exceeding quota across new-logo acquisition and expansion motions. - Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals. - Prior experience selling to commercial accounts in productivity, collaboration, or workflow software. - Experience in a shared account ownership model, partnering with a post-sale or Customer Success team as part of an integrated customer motion. - Fluency in Swedish or Norwegian. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you're excited about a role but your past experience doesn't align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you're a builder at heart, share our company values, and are enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €144,000 - €156,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Geneva, Switzerland; Zurich, Switzerland Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities TeamViewer is looking for a dynamic and results-oriented Customer Success Manager to join our fast-growing team. As a Customer Success Manager specializing in Software as a Service (SaaS), you will play a crucial role in ensuring the success and satisfaction of our clients. Manage and oversee the successful deployment to our customers and identify potential for further deployments of the TeamViewer product portfolio. Establish strong relationships with key stakeholders within client organizations, coordinate project teams, constantly engage with assigned customers and identify potential for further deployments or opportunities for our sales colleagues Deliver trainings, product demonstrations, deployment projects or troubleshooting sessions with customers as needed Work closely with the support, sales engineering and technical project management teams to ensure timely resolution of client issues and concerns Voice of the Customer: CSMs will be expected to champion the voice of the customer internally at TeamViewer. In addition to providing an authoritative view of customer health, working closely with Product and Engineering, Marketing, Support and Sales, the CSM will: Monitor customer health metrics and implementing strategies to develop usage and customer value of our solutions Support executive alignment and engagement with customers. Connect customer feedback to Product & Marketing Develop customer champions to help evangelize within customer organizations and externally with other TeamViewer customers Requirements Degree in computer science, information systems, applied computer science, or similar education with IT-related background Fluency in English and German is required Experience working in close customer collaboration, and the ability to effectively communicate at all levels Experience advocating for customers and the ability to foster and cultivate relationships with key customers Experience with managing projects and programs Related experience in delivering enterprise software solutions is a plus Available to visit (existing and potential) enterprise customers What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus, company stocks and regular salary reviews Premiums for the private pension plan ( BAV ) up to the maximum amount are topped up by TeamViewer Public transport friendly offices Option to lease an e-bike (Germany only) Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Проект: система поддержки принятия решений для мониторинга и своевременного информирования Требования: - Высшее образование - Опыт углубленного использования ИИ в работе (работа с ИИ-агентами, знание MCP) - Опыт сбора и подготовки бизнес-требований и описания процессов - Опыт описания моделей данных ИТ-систем (до атрибутов сущностей) - Опыт проектирования пользовательских интерфейсов и UX-схем - Опыт применения методологий функционального, информационного и процессного моделирования во всех указанных нотациях: eEPC, BPMN, UML - Опыт применения всех указанных подходов к проектированию и интеграции enterprise-решений: SOA, SOAP, MQ, клиент-серверная архитектура, веб-сервисы - Опыт написания тестовых сценариев и участие в их автоматизации - Опыт командной разработки с использованием программных продуктов Confluence и Jira - Опыт работы как в каскадных (waterfall), так и в гибких методологиях (Agile и/или DevOps и/или Scrum) разработки

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company’s performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo’s Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo’s success. ROLE We're looking for an IT Administrator - AI & Cybersecurity to join our Corporate team. In this role, you'll own the intersection of IT operations, cybersecurity and AI platform administration, reporting directly to the IT Manager. IT & SaaS Administration - Administer the core SaaS stack - Okta (SSO, SCIM, lifecycle, policies), Google Workspace, Slack, Notion, GitHub Enterprise Cloud and 100+ applications across multiple legal entities - Own the MDM estate (Jamf and Intune) across macOS, iOS and Windows: enrolment, compliance baselines, patching and disk encryption - Act as the L2/L3 escalation point for internal support, handling endpoint, identity and SaaS incidents that L1 cannot resolve - Automate manual run work through scripting, APIs and AI agents where they genuinely add value Cybersecurity - Drive the identity hardening roadmap: session lifetimes, adaptive and phishing-resistant MFA, privileged access management and admin role reviews - Own OAuth and third-party app governance across Google Workspace and Okta: inventory, risk-scoring and approval workflows - Control SaaS data exposure - publicly and externally shared files, orphaned shares - and build the tooling to support it - Contribute to the ZTNA rollout, geo-based access controls and detection & response alongside the SOC and SIEM AI Platform Administration - Administer enterprise AI platforms (Claude, Google Gemini & Vertex AI, OpenAI and others): tenants, SSO, licences, usage analytics and budget control - Strengthen the AI governance framework: acceptable-use rules, data classification boundaries, DLP and logging - and detect shadow AI usage - Administer connectors, MCP servers and agent integrations PROFILE - 5+ years of experience in IT administration, infrastructure or IT security in a fast-moving, multi-geography environment - Deep hands-on expertise with IdP administration - Okta strongly preferred - and Google Workspace at enterprise scale - Solid MDM experience across macOS and Windows (Jamf and/or Intune) - Demonstrable cybersecurity practice: IAM hardening, SaaS security posture management, OAuth risk and incident response - you have shipped security work, not just studied it - Automation is a reflex: proficiency in scripting (Python, Bash, PowerShell) and working with REST APIs and workflow tools - Practical experience with enterprise AI platforms and a genuine understanding of the risks introduced by models, agents and connectors accessing corporate data - Able to communicate security trade-offs clearly to executives and technical workarounds to developers - Fluent English is required, French is a plus - Nice to have: security certifications (Security+, CISSP, Okta Certified), ZTNA/SASE or SSPM exposure, cloud IAM on GCP or AWS, ITSM platform experience BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: London Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client Our client is a digital agency partnering with some of the world’s largest enterprises to design future-ready experiences, products and capabilities. Their multidisciplinary design team spans strategy, UX and UI, with a growing focus on LLM-powered  interfaces, generative UI (GenUI) and AI-enabled design workflows. They work closely with engineers and client teams to turn complex challenges into clear, practical direction and deliver work that genuinely scales. What You'll Do Support qualitative and quantitative research activities, using AI-assisted tools to help synthesize insight, identify patterns and inform product direction Translate research into clear experience opportunities, particularly where LLM-powered interfaces can add meaningful value Design and prototype user experiences that combine strong design fundamentals with LLM- powered and GenUI approaches Explore conversational, adaptive and system-driven interfaces, testing ideas quickly and iterating based on feedback Work across low and high fidelity prototypes, including interactive and conversational concepts Support the design of LLM-powered interfaces, including conversational and agent-like experiences Help shape prompts, flows, states and interaction patterns that sit on top of language models and feel natural, on-brand and genuinely useful Collaborate with engineers to understand model behaviour and design interfaces that work with its strengths and limitations Apply and extend design systems to support GenUI and AI-driven interfaces, ensuring consistency, clarity and scalability Explore how structured design foundations such as tokens, components and patterns can power adaptive and generative UI experiences Contribute to collaborative workshops that help clients understand emerging AI-powered and GenUI experiences Work alongside senior designers to turn complex ideas into clear, actionable outcomes Clearly explain design decisions, connecting user needs, business goals and emerging technology Share work confidently with internal teams and clients through strong storytelling and visual communication Stay curious about new tools, workflows and ways of working, including vibe-driven design and coding workflows, no-code tools and AI-assisted prototyping Contribute ideas that help us evolve its AI and design practice What You Bring We’re looking for a mid-weight designer with strong digital design foundations and a genuine interest in LLM-powered interfaces and GenUI. You don’t need to be an AI expert, but you should be excited by where design is heading. Strong UX and UI design fundamentals, with confidence using modern design tools Experience prototyping and iterating ideas, including interactive or conversational experiences Interest or hands-on exposure to LLM-powered interfaces, conversational UX or GenUI through client work, internal projects, prototypes or personal exploration Design systems literacy, with an understanding of how systems enable scale, especially in AI-driven products Clear communication skills and a collaborative mindset Comfort working through ambiguity and evolving problems Curiosity, adaptability and a desire to keep learning Attention to detail without losing sight of the bigger picture Nice to Have Experience with coding isn’t required, but curiosity around vibe-driven workflows, no-code tools or AI-assisted build approaches is a definite plus English Level Upper-Intermediate Legal & Hiring Information Compensation Transparency: The expected compensation for this role is £55 000 gross per year, with eligibility for commission, bonus, or other incentive compensation where applicable. Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

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 Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment. As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar. Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there. Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders. Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment. Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late. Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets. Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning. Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions. Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. Travel to customer sites across EMEA (25–50% expected), with occasional travel to the US. You May Be a Good Fit If You Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI/ML or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in at least one industry (e.g., financial services, healthcare and life sciences). You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy. Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Working proficiency in a second European language such as German or French is a plus. 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: £190,000 — £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: Amsterdam, Netherlands 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 The Head of Employee Relations will define and lead our global approach to employee relations and performance management. Combining strategic leadership with operational expertise, the role will ensure employee matters are handled consistently, fairly and within applicable legal requirements. The role will build effective relationships with works councils and other employee representative bodies and partner closely with senior leaders, People teams and employment lawyers. Responsibilities Employee Relations and Performance Management strategy and governance Define and implement the organisation’s employee relations and performance management strategy, principles and operating model. Define the organisation’s approach to performance management, including the effective management of underperformance. Establish clear, practical policies, processes and templates for performance concerns, grievances, disciplinary matters and other employee relations cases. Provide senior oversight and advice on complex, sensitive or high-risk cases. Help managers address concerns early, set clear expectations and reach fair, proportionate outcomes. Ensure practices are applied consistently while accommodating local legal requirements. Identify recurring themes and recommend preventative or organisation-wide action. Partner with relevant People teams to align employee relations and performance practices with the broader talent and reward strategy. Works Council and employee representation Build constructive relationships with works councils, employee forums and other representative bodies. Define the organisation’s approach to engaging, informing and consulting with employee representatives. Advise leaders on consultation requirements, timelines and communications, particularly during organisational change. Support consultation and negotiation processes and ensure agreed actions are implemented. Build internal capability so that leaders and People teams engage with representative bodies confidently and consistently. Legal and risk management Partner with in-house and external employment lawyers to ensure decisions and processes operate within applicable legal thresholds. Translate legal advice into clear and commercially practical recommendations. Monitor relevant employment law developments and update organisational practices where required. Identify and manage the legal, financial and reputational risks associated with employee matters. Leadership and capability Act as a trusted advisor to senior leaders, People partners and Legal. Build manager and People-team capability through clear guidance, training and coaching. Establish appropriate case-management, governance and reporting standards. Use case data and employee insights to identify trends, risks and areas for improvement. What you bring Significant senior-level experience in employee relations, employment law, HR or a related discipline. Experience defining and implementing an employee relations strategy or operating model. Strong knowledge of performance management, investigations, disciplinary and grievance processes, organisational change and dispute resolution. Experience working with works councils, employee representatives or trade unions, ideally across multiple jurisdictions. Strong employment law knowledge and experience working with internal or external legal counsel. Sound judgement and the ability to balance legal risk, employee experience, organisational values and commercial priorities. Strong influencing, negotiation and stakeholder-management skills. Comfortable working both strategically and hands-on with complex cases. Experience leading a team or specialist function is desirable. What success looks like Employee relations and performance matters are handled consistently, fairly and efficiently. Managers and People teams have clear, practical guidance and tools. Works council and employee representative relationships are constructive and well managed. Legal and organisational risks are identified early and managed appropriately. Employee relations insights lead to meaningful improvements across the organisation. 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: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. PROOF OF WORK   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. PROOF OF WORK   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Paris; Amsterdam; Linz; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral AI is looking for a Domain Expert in crashworthiness simulations to help build AI-accelerated simulation capabilities for industrial engineering. You will work at the intersection of industrial simulation, physics modeling, machine learning, and engineering workflows. Your role is to bring deep solid-mechanics expertise into the design, training, evaluation, and deployment of AI Physics Models for real engineering use cases. This is a hands-on technical role. We are looking for someone who understands industrial structural simulation not only conceptually, but through direct experience with simulation models, solver workflows, data generation, validation, and engineering decision-making. You will work with research, product, and customer-facing teams to ensure that our models are useful against real engineering standards — not only benchmark metrics. Relevant application areas may include automotive crashworthiness, aerospace structures, consumer-electronics drop/reliability, manufacturing, durability/fatigue, and other nonlinear structural mechanics problems. WHAT YOU WILL DO - Work with our research team to define, generate, and iteratively improve simulation datasets for training and evaluating crashworthiness foundation models, balancing coverage of relevant physical scenarios, simulation fidelity, and computational cost. - Design and run high-fidelity simulation campaigns using structural mechanics solvers such as Abaqus, LS-DYNA, Ansys Mechanical, Radioss or equivalent tools. - Define the relevant variation space for training data: geometry, mesh resolution, material behavior, boundary conditions, loading, contact, joints, failure modes, and engineering KPIs. - Build or guide automated pipelines for simulation setup, execution, post-processing, dataset creation, and model evaluation. - Work with research teams to train and evaluate AI models on simulation data, and diagnose failure modes caused by data gaps, poor coverage, numerical artifacts, or model limitations. - Evaluate model outputs against industrial engineering needs, including field-level accuracy, scalar KPIs, deformation modes, load paths, energy absorption, stress/strain fields, failure indicators, uncertainty, and out-of-domain behavior. - Work with industrial customers to understand their simulation workflows and engineering priorities, define use cases and success criteria, and incorporate their feedback into model development and validation. ABOUT YOU - You have deep expertise in crashworthiness, solid mechanics, and structural mechanics, with substantial experience in industrial simulation workflows. - You have a Master’s degree or equivalent technical depth in mechanical engineering, aerospace engineering, civil/structural engineering, computational mechanics, applied physics, or a related field. - You have 4+ years of relevant industrial experience (or PhD +1 years) in domains such as automotive, aerospace, and consumer electronics. - You have hands-on experience with explicit dynamics for crash or impact simulation and understand nonlinear FEM and related topics such as contact, plasticity, structural dynamics, buckling, material modeling, fracture/damage, fatigue, crashworthiness, or durability. - You have direct experience with simulation validation, correlation, model quality, numerical sensitivity, and engineering KPI definition. - You are a strong Python developer who can build and maintain reliable tools for simulation automation, data processing, and model evaluation. You apply sound software engineering practices, including version control with Git, automated testing, code review, and clear documentation. - You have hands-on experience working in Linux and HPC environments, including submitting and monitoring batch jobs, selecting appropriate compute resources, and troubleshooting simulation workflows. You can run simulation campaigns efficiently across a compute cluster. - You are comfortable operating in ambiguous technical environments and turning poorly defined industrial problems into scoped datasets, experiments, metrics, and execution plans. - You communicate clearly with both deep technical experts and non-specialist stakeholders. IT WOULD BE GREAT IF YOU - Have experience applying machine learning, surrogate modeling, reduced-order modeling, optimization, or data-driven methods to simulation problems. - Have contributed to reusable internal tools, open-source code, simulation automation frameworks, or production-quality engineering workflows. - Have experience working directly with industrial customers, product teams, or engineering decision-makers. - Have publications, patents, internal technical leadership, or recognized contributions in engineering, simulation, computational mechanics, or ML-for-physics communities. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Sofia, Sofiya, Bulgaria About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Our EdTech practice produces research that runs in production. AI-supported remote proctoring is in use at the Irish Aviation Authority, Princess Nourah University and Saudi Electronic University, and our course delivery platform is used by CERN, EPFL, MariaDB and Acronis. For industry clients, we build tailored BSc, MSc and PhD pipelines, L&D operating models, AI upskilling programmes and customer training systems. Constructor Labs Solutions (CLS) is our client-facing systems integrator for the education and research sector, launching in September 2026. It brings audit and consultancy, content, platform, talent and R&D services together under a single contract, an offer few providers make to education buyers today. Delivery is orchestrated across several Constructor organizations: CUB, Nexford, Nexademy, EBAC, Constructor Labs and Constructor Tech. Our aim is to become the go-to systems integrator for education in EMEA by 2029. The role You will open EMEA markets for Constructor Labs Solutions as a quota-carrying individual contributor. The role rests on an established network among universities, online education providers, EdTech vendors and corporate L&D and research buyers, and on your ability to convert that network into signed engagements. You will work with the marketing and delivery teams to build pipeline, establish the CLS brand and develop a case-study library. Supporting you are a credible research institution, named production references, an existing Constructor and Constructor Tech client base, and delivery capability across five service lines that can be combined into a single proposal. The sales motion is consultative. Engagements typically open with a low-risk paid diagnostic (Technology Landscape Assessment, Curriculum Gap Analysis or Learning Strategy Advisory), which you then convert into a multi-line implementation or managed-service mandate. Initial engagements start at around €150–250K in lifetime value and grow from there. Sales cycles in public higher education run six to twelve months, so you will manage a long-cycle institutional funnel alongside faster corporate L&D deals. Reporting and scope Reports to: Director of Sales & Marketing, Constructor Labs Solutions (shared with the Constructor Labs GM during Phase 1). Level: Director, individual contributor. You will join an established sales team. Territory: EMEA, with initial focus on DACH (Germany, Austria, Switzerland) and the UK and Ireland. Named accounts agreed quarterly. Segments: traditional and online universities, EdTech providers and platform vendors, corporate L&D and corporate academies, research-intensive organizations, and publicly funded research programmes. Portfolio: all five CLS service lines, namely Audit & Consultancy, Content, Platform, Talent and R&D Services. Day-to-day, you will work with the Audit & Consultancy Practice Head on scoping, with Nexademy on content propositions, with Constructor Tech on platform architecture, and with the Labs' principal investigators, who join client conversations to provide subject-matter credibility. Knowing which expert belongs in which conversation is central to the role. What you will do Pipeline generation. Around 70% of your time is spent on outbound activity: your own network, conference presence, sector associations, procurement frameworks and targeted account campaigns, supported by marketing. Reference accounts. Sign the first reference clients in EMEA and develop each one into a published case study, an active sponsor and a source of introductions. Discovery and scoping. Map the client's learning or research operating model and quantify the problem in their own measures: cost per course, time to accreditation, completion rates, time-to-hire, research throughput. Shape a diagnostic that leads to a defined follow-on engagement. Conversion to implementation. Own the transition from paid diagnostic to multi-line mandate, with a target of converting half of all audit engagements. Proposals and bids. Assemble proposals across the five service lines with the practice heads, price them against the finance model and qualify them against margin floors. Lead RFP and framework responses, including public-sector tenders in Germany and the UK. Stakeholder coverage. Engage rectors, deans, CIOs, heads of digital learning, procurement, works councils, CLOs, HR directors and research directors. Maintain at least three engaged contacts on every opportunity above €200K. Partner channel. Recruit and manage regional partners, resellers, agencies and academic networks that extend reach beyond your direct coverage. Quota and forecasting. You carry an annual new-business quota, with quarterly KPIs covering pipeline coverage, audit conversion, average engagement value and blended margin. Maintain weekly pipeline hygiene in the CRM, submit a forecast you can defend, and flag slippage as soon as you see it. Market feedback. Report what EMEA buyers procure and what they decline, and how our pricing compares with Instructure, D2L, Cornerstone and the generalist integrators, so that the service catalogue can be adjusted. External representation. Speak at sector events and contribute to thought leadership alongside our principal investigators, building recognition for CLS among education buyers in your region. Targets and KPIs The role carries a quota set on net-new signed bookings (total contract value) in your territory, with a six-month ramp and a quarterly review: Net-new signed bookings (TCV) Reference clients signed Average engagement value Audit-to-implementation conversion Blended gross margin on signed work New qualified opportunities created Forecast accuracy What you bring Network in the sector. Eight or more years selling into education, research or corporate learning in EMEA, preferably DACH and/or the UK, with decision-maker relationships you can open within the first 90 days. You should be prepared to discuss your top 15 target accounts and the route into each. A closing record in complex services. Consistent achievement against a quota of €1M or more in professional services, consulting, systems integration or enterprise EdTech, covering six-figure deals, multi-stakeholder buying groups and six- to twelve-month cycles. Consultative selling. Experience selling scoped engagements whose deliverables were defined jointly with the client, and fluency in a recognized methodology such as MEDDIC, Challenger or Command of the Message. Domain credibility. The ability to hold a substantive conversation with a pro-vice-chancellor about digitalization, a CLO about competency frameworks or a research director about co-funded projects, together with a working understanding of how universities and research organizations buy: budget cycles, committee approval, procurement frameworks and public tender rules. Comfort in an early-stage unit. Experience building a territory or a new offering from a standing start, and the ability to sell a service catalogue that is still being completed. Languages. Business-fluent German and English . Both are required, since public education buyers in DACH contract in German. Commercial discipline. Rigorous CRM and forecasting practice, and a readiness to qualify out early rather than carry unlikely deals. Professional integrity. You will represent a research institution to universities and public bodies, so commitments made during the sales process must be ones delivery can meet. Nice to have Experience selling into publicly funded research programmes, or EU and national grant-co-funded projects (Horizon Europe, Innovate UK, BMBF). Working knowledge of the LMS/SIS landscape and its incumbents — Instructure, D2L, Cornerstone, Moodle, SAP SuccessFactors. Experience with UK public procurement frameworks (Crown Commercial Service, JISC) or German public tendering (VgV, e-Vergabe). Background in the education practice of a systems integrator, Big Four firm or consultancy. Prior success selling talent, recruitment or academic content services. French, Italian or Dutch as a third language. An existing speaking profile in the education or L&D community. Location and travel Candidates must be based in Europe and hold an existing, unrestricted right to work in their country of residence. Relocation is not offered for this position: the network the role depends on should already be in the market. Preferred bases are Germany, Switzerland, Bulgaria or the UK. The role is remote or hybrid, with regular time in Bremen and at the London commercial hub. Expect travel of up to 40% within EMEA for client meetings, tenders and sector events, plus occasional travel to other Constructor locations. What we offer Base salary and commission , weighted approximately 60/40 at on-target earnings, with accelerators above 100% of quota. The band is competitive for a Director-level individual contributor in DACH or the UK and depends on location and experience. A guaranteed ramp across the first two quarters while the pipeline is built. Commission on margin as well as revenue , so that well-scoped work is rewarded ahead of discounted work. Access to our researchers , including principal investigators, CERN-level data scientists, and education methodologists who will join your client meetings. An existing reference base , including named proctoring and platform deployments. Influence over the offering. As the key commercial voice in these markets, you will shape a service catalogue that is not yet fixed.

Location: London, England, United Kingdom About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Our EdTech practice produces research that runs in production. AI-supported remote proctoring is in use at the Irish Aviation Authority, Princess Nourah University and Saudi Electronic University, and our course delivery platform is used by CERN, EPFL, MariaDB and Acronis. For industry clients, we build tailored BSc, MSc and PhD pipelines, L&D operating models, AI upskilling programmes and customer training systems. Constructor Labs Solutions (CLS) is our client-facing systems integrator for the education and research sector, launching in September 2026. It brings audit and consultancy, content, platform, talent and R&D services together under a single contract, an offer few providers make to education buyers today. Delivery is orchestrated across several Constructor organizations: CUB, Nexford, Nexademy, EBAC, Constructor Labs and Constructor Tech. Our aim is to become the go-to systems integrator for education in EMEA by 2029. The role You will open EMEA markets for Constructor Labs Solutions as a quota-carrying individual contributor. The role rests on an established network among universities, online education providers, EdTech vendors and corporate L&D and research buyers, and on your ability to convert that network into signed engagements. You will work with the marketing and delivery teams to build pipeline, establish the CLS brand and develop a case-study library. Supporting you are a credible research institution, named production references, an existing Constructor and Constructor Tech client base, and delivery capability across five service lines that can be combined into a single proposal. The sales motion is consultative. Engagements typically open with a low-risk paid diagnostic (Technology Landscape Assessment, Curriculum Gap Analysis or Learning Strategy Advisory), which you then convert into a multi-line implementation or managed-service mandate. Initial engagements start at around €150–250K in lifetime value and grow from there. Sales cycles in public higher education run six to twelve months, so you will manage a long-cycle institutional funnel alongside faster corporate L&D deals. Reporting and scope Reports to: Director of Sales & Marketing, Constructor Labs Solutions (shared with the Constructor Labs GM during Phase 1). Level: Director, individual contributor. You will join an established sales team. Territory: EMEA, with initial focus on DACH (Germany, Austria, Switzerland) and the UK and Ireland. Named accounts agreed quarterly. Segments: traditional and online universities, EdTech providers and platform vendors, corporate L&D and corporate academies, research-intensive organizations, and publicly funded research programmes. Portfolio: all five CLS service lines, namely Audit & Consultancy, Content, Platform, Talent and R&D Services. Day-to-day, you will work with the Audit & Consultancy Practice Head on scoping, with Nexademy on content propositions, with Constructor Tech on platform architecture, and with the Labs' principal investigators, who join client conversations to provide subject-matter credibility. Knowing which expert belongs in which conversation is central to the role. What you will do Pipeline generation. Around 70% of your time is spent on outbound activity: your own network, conference presence, sector associations, procurement frameworks and targeted account campaigns, supported by marketing. Reference accounts. Sign the first reference clients in EMEA and develop each one into a published case study, an active sponsor and a source of introductions. Discovery and scoping. Map the client's learning or research operating model and quantify the problem in their own measures: cost per course, time to accreditation, completion rates, time-to-hire, research throughput. Shape a diagnostic that leads to a defined follow-on engagement. Conversion to implementation. Own the transition from paid diagnostic to multi-line mandate, with a target of converting half of all audit engagements. Proposals and bids. Assemble proposals across the five service lines with the practice heads, price them against the finance model and qualify them against margin floors. Lead RFP and framework responses, including public-sector tenders in Germany and the UK. Stakeholder coverage. Engage rectors, deans, CIOs, heads of digital learning, procurement, works councils, CLOs, HR directors and research directors. Maintain at least three engaged contacts on every opportunity above €200K. Partner channel. Recruit and manage regional partners, resellers, agencies and academic networks that extend reach beyond your direct coverage. Quota and forecasting. You carry an annual new-business quota, with quarterly KPIs covering pipeline coverage, audit conversion, average engagement value and blended margin. Maintain weekly pipeline hygiene in the CRM, submit a forecast you can defend, and flag slippage as soon as you see it. Market feedback. Report what EMEA buyers procure and what they decline, and how our pricing compares with Instructure, D2L, Cornerstone and the generalist integrators, so that the service catalogue can be adjusted. External representation. Speak at sector events and contribute to thought leadership alongside our principal investigators, building recognition for CLS among education buyers in your region. Targets and KPIs The role carries a quota set on net-new signed bookings (total contract value) in your territory, with a six-month ramp and a quarterly review: Net-new signed bookings (TCV) Reference clients signed Average engagement value Audit-to-implementation conversion Blended gross margin on signed work New qualified opportunities created Forecast accuracy What you bring Network in the sector. Eight or more years selling into education, research or corporate learning in EMEA, preferably DACH and/or the UK, with decision-maker relationships you can open within the first 90 days. You should be prepared to discuss your top 15 target accounts and the route into each. A closing record in complex services. Consistent achievement against a quota of €1M or more in professional services, consulting, systems integration or enterprise EdTech, covering six-figure deals, multi-stakeholder buying groups and six- to twelve-month cycles. Consultative selling. Experience selling scoped engagements whose deliverables were defined jointly with the client, and fluency in a recognized methodology such as MEDDIC, Challenger or Command of the Message. Domain credibility. The ability to hold a substantive conversation with a pro-vice-chancellor about digitalization, a CLO about competency frameworks or a research director about co-funded projects, together with a working understanding of how universities and research organizations buy: budget cycles, committee approval, procurement frameworks and public tender rules. Comfort in an early-stage unit. Experience building a territory or a new offering from a standing start, and the ability to sell a service catalogue that is still being completed. Languages. Business-fluent German and English . Both are required, since public education buyers in DACH contract in German. Commercial discipline. Rigorous CRM and forecasting practice, and a readiness to qualify out early rather than carry unlikely deals. Professional integrity. You will represent a research institution to universities and public bodies, so commitments made during the sales process must be ones delivery can meet. Nice to have Experience selling into publicly funded research programmes, or EU and national grant-co-funded projects (Horizon Europe, Innovate UK, BMBF). Working knowledge of the LMS/SIS landscape and its incumbents — Instructure, D2L, Cornerstone, Moodle, SAP SuccessFactors. Experience with UK public procurement frameworks (Crown Commercial Service, JISC) or German public tendering (VgV, e-Vergabe). Background in the education practice of a systems integrator, Big Four firm or consultancy. Prior success selling talent, recruitment or academic content services. French, Italian or Dutch as a third language. An existing speaking profile in the education or L&D community. Location and travel Candidates must be based in Europe and hold an existing, unrestricted right to work in their country of residence. Relocation is not offered for this position: the network the role depends on should already be in the market. Preferred bases are Germany, Switzerland, Bulgaria or the UK. The role is remote or hybrid, with regular time in Bremen and at the London commercial hub. Expect travel of up to 40% within EMEA for client meetings, tenders and sector events, plus occasional travel to other Constructor locations. What we offer Base salary and commission , weighted approximately 60/40 at on-target earnings, with accelerators above 100% of quota. The band is competitive for a Director-level individual contributor in DACH or the UK and depends on location and experience. A guaranteed ramp across the first two quarters while the pipeline is built. Commission on margin as well as revenue , so that well-scoped work is rewarded ahead of discounted work. Access to our researchers , including principal investigators, CERN-level data scientists, and education methodologists who will join your client meetings. An existing reference base , including named proctoring and platform deployments. Influence over the offering. As the key commercial voice in these markets, you will shape a service catalogue that is not yet fixed.

Location: Bremen, Germany About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Our EdTech practice produces research that runs in production. AI-supported remote proctoring is in use at the Irish Aviation Authority, Princess Nourah University and Saudi Electronic University, and our course delivery platform is used by CERN, EPFL, MariaDB and Acronis. For industry clients, we build tailored BSc, MSc and PhD pipelines, L&D operating models, AI upskilling programmes and customer training systems. Constructor Labs Solutions (CLS) is our client-facing systems integrator for the education and research sector, launching in September 2026. It brings audit and consultancy, content, platform, talent and R&D services together under a single contract, an offer few providers make to education buyers today. Delivery is orchestrated across several Constructor organizations: CUB, Nexford, Nexademy, EBAC, Constructor Labs and Constructor Tech. Our aim is to become the go-to systems integrator for education in EMEA by 2029. The role You will open EMEA markets for Constructor Labs Solutions as a quota-carrying individual contributor. The role rests on an established network among universities, online education providers, EdTech vendors and corporate L&D and research buyers, and on your ability to convert that network into signed engagements. You will work with the marketing and delivery teams to build pipeline, establish the CLS brand and develop a case-study library. Supporting you are a credible research institution, named production references, an existing Constructor and Constructor Tech client base, and delivery capability across five service lines that can be combined into a single proposal. The sales motion is consultative. Engagements typically open with a low-risk paid diagnostic (Technology Landscape Assessment, Curriculum Gap Analysis or Learning Strategy Advisory), which you then convert into a multi-line implementation or managed-service mandate. Initial engagements start at around €150–250K in lifetime value and grow from there. Sales cycles in public higher education run six to twelve months, so you will manage a long-cycle institutional funnel alongside faster corporate L&D deals. Reporting and scope Reports to: Director of Sales & Marketing, Constructor Labs Solutions (shared with the Constructor Labs GM during Phase 1). Level: Director, individual contributor. You will join an established sales team. Territory: EMEA, with initial focus on DACH (Germany, Austria, Switzerland) and the UK and Ireland. Named accounts agreed quarterly. Segments: traditional and online universities, EdTech providers and platform vendors, corporate L&D and corporate academies, research-intensive organizations, and publicly funded research programmes. Portfolio: all five CLS service lines, namely Audit & Consultancy, Content, Platform, Talent and R&D Services. Day-to-day, you will work with the Audit & Consultancy Practice Head on scoping, with Nexademy on content propositions, with Constructor Tech on platform architecture, and with the Labs' principal investigators, who join client conversations to provide subject-matter credibility. Knowing which expert belongs in which conversation is central to the role. What you will do Pipeline generation. Around 70% of your time is spent on outbound activity: your own network, conference presence, sector associations, procurement frameworks and targeted account campaigns, supported by marketing. Reference accounts. Sign the first reference clients in EMEA and develop each one into a published case study, an active sponsor and a source of introductions. Discovery and scoping. Map the client's learning or research operating model and quantify the problem in their own measures: cost per course, time to accreditation, completion rates, time-to-hire, research throughput. Shape a diagnostic that leads to a defined follow-on engagement. Conversion to implementation. Own the transition from paid diagnostic to multi-line mandate, with a target of converting half of all audit engagements. Proposals and bids. Assemble proposals across the five service lines with the practice heads, price them against the finance model and qualify them against margin floors. Lead RFP and framework responses, including public-sector tenders in Germany and the UK. Stakeholder coverage. Engage rectors, deans, CIOs, heads of digital learning, procurement, works councils, CLOs, HR directors and research directors. Maintain at least three engaged contacts on every opportunity above €200K. Partner channel. Recruit and manage regional partners, resellers, agencies and academic networks that extend reach beyond your direct coverage. Quota and forecasting. You carry an annual new-business quota, with quarterly KPIs covering pipeline coverage, audit conversion, average engagement value and blended margin. Maintain weekly pipeline hygiene in the CRM, submit a forecast you can defend, and flag slippage as soon as you see it. Market feedback. Report what EMEA buyers procure and what they decline, and how our pricing compares with Instructure, D2L, Cornerstone and the generalist integrators, so that the service catalogue can be adjusted. External representation. Speak at sector events and contribute to thought leadership alongside our principal investigators, building recognition for CLS among education buyers in your region. Targets and KPIs The role carries a quota set on net-new signed bookings (total contract value) in your territory, with a six-month ramp and a quarterly review: Net-new signed bookings (TCV) Reference clients signed Average engagement value Audit-to-implementation conversion Blended gross margin on signed work New qualified opportunities created Forecast accuracy What you bring Network in the sector. Eight or more years selling into education, research or corporate learning in EMEA, preferably DACH and/or the UK, with decision-maker relationships you can open within the first 90 days. You should be prepared to discuss your top 15 target accounts and the route into each. A closing record in complex services. Consistent achievement against a quota of €1M or more in professional services, consulting, systems integration or enterprise EdTech, covering six-figure deals, multi-stakeholder buying groups and six- to twelve-month cycles. Consultative selling. Experience selling scoped engagements whose deliverables were defined jointly with the client, and fluency in a recognized methodology such as MEDDIC, Challenger or Command of the Message. Domain credibility. The ability to hold a substantive conversation with a pro-vice-chancellor about digitalization, a CLO about competency frameworks or a research director about co-funded projects, together with a working understanding of how universities and research organizations buy: budget cycles, committee approval, procurement frameworks and public tender rules. Comfort in an early-stage unit. Experience building a territory or a new offering from a standing start, and the ability to sell a service catalogue that is still being completed. Languages. Business-fluent German and English . Both are required, since public education buyers in DACH contract in German. Commercial discipline. Rigorous CRM and forecasting practice, and a readiness to qualify out early rather than carry unlikely deals. Professional integrity. You will represent a research institution to universities and public bodies, so commitments made during the sales process must be ones delivery can meet. Nice to have Experience selling into publicly funded research programmes, or EU and national grant-co-funded projects (Horizon Europe, Innovate UK, BMBF). Working knowledge of the LMS/SIS landscape and its incumbents — Instructure, D2L, Cornerstone, Moodle, SAP SuccessFactors. Experience with UK public procurement frameworks (Crown Commercial Service, JISC) or German public tendering (VgV, e-Vergabe). Background in the education practice of a systems integrator, Big Four firm or consultancy. Prior success selling talent, recruitment or academic content services. French, Italian or Dutch as a third language. An existing speaking profile in the education or L&D community. Location and travel Candidates must be based in Europe and hold an existing, unrestricted right to work in their country of residence. Relocation is not offered for this position: the network the role depends on should already be in the market. Preferred bases are Germany, Switzerland, Bulgaria or the UK. The role is remote or hybrid, with regular time in Bremen and at the London commercial hub. Expect travel of up to 40% within EMEA for client meetings, tenders and sector events, plus occasional travel to other Constructor locations. What we offer Base salary and commission , weighted approximately 60/40 at on-target earnings, with accelerators above 100% of quota. The band is competitive for a Director-level individual contributor in DACH or the UK and depends on location and experience. A guaranteed ramp across the first two quarters while the pipeline is built. Commission on margin as well as revenue , so that well-scoped work is rewarded ahead of discounted work. Access to our researchers , including principal investigators, CERN-level data scientists, and education methodologists who will join your client meetings. An existing reference base , including named proctoring and platform deployments. Influence over the offering. As the key commercial voice in these markets, you will shape a service catalogue that is not yet fixed.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal Role Summary Cloudflare MCP Server Portals give organizations a secure, centralized way to connect AI agents to internal and third-party tools. As a Senior Systems Engineer on the MCP Portals team, you will lead the design, delivery, and operation of distributed systems that authenticate users, manage OAuth credentials and sessions, enforce Zero Trust policies, and proxy MCP traffic across Cloudflare's global network. You will own complex projects across service boundaries, make architectural tradeoffs for your area, and help other engineers deliver reliable, secure changes. You will work closely with engineers and product managers across Access, Gateway, and Developer Platform teams as the protocol and product evolve. We are looking for a hands-on engineer who can bring clarity to ambiguous systems problems and take responsibility for outcomes in production. Role Responsibilities Lead the design, implementation, and operation of globally distributed services that connect MCP clients to authorized upstream MCP servers. Own complex features and service improvements from problem definition and design through implementation, rollout, observability, and production support. Shape technical decisions for MCP Portals, including service boundaries, security controls, compatibility, and tradeoffs among reliability, latency, and resource use. Evolve our implementation as the MCP specification changes, planning safe migrations for existing customers and integrations. Design and review authentication and authorization flows involving Cloudflare Access, OAuth, identity, credential handling, and delegated access to upstream services. Improve the reliability and scalability of multi-tenant systems built on the Cloudflare Developer Platform, using production data to identify and prioritize work. Strengthen observability through structured logs, metrics, traces, dashboards, and actionable alerts; participate in production support and incident response. Lead investigations of complex customer issues across services and teams, identify root causes, and drive fixes that prevent recurrence. Review designs and code, mentor engineers, and raise the quality of testing, deployment, and operational practices on the team. Partner with product, security, and engineering teams to turn customer needs and emerging standards into maintainable product capabilities. Role Requirements Must Have Skills 6+ years of experience building and operating distributed systems, backend services, network services, or infrastructure products in production. Demonstrated ownership of complex production services or projects, including architecture, implementation, rollout, and operational outcomes. Strong programming skills in TypeScript, JavaScript, Go, Rust, C++, or another language used to build production services. Deep understanding of HTTP, APIs, proxies, streaming connections, and distributed-systems failure modes. Experience with authentication and authorization technologies such as OAuth 2.0, OpenID Connect, JWTs, PKCE, or policy-based access control. Experience designing or operating security-sensitive systems, with sound judgment about identity, authorization, credential handling, concurrency, and state management. Ability to diagnose difficult production issues using logs, metrics, traces, error reporting, and customer-provided evidence, then drive durable fixes. Experience making backward-compatible changes to live systems and managing the risks of deployment and migration. Clear written and verbal communication skills, with the ability to explain technical tradeoffs, influence decisions across teams, and mentor other engineers. Applicants should provide a resume or CV describing relevant engineering, technical leadership, and operational experience. Nice to Have Skills Experience with the Model Context Protocol Familiarity with the Cloudflare Developer Platform or other serverless edge-computing platforms. Experience building gateways, forward proxies, identity systems, developer platforms, or Zero Trust and data loss prevention products. Compensation Compensation may be adjusted depending on work location. For Portugal based hires: Estimated annual salary of €66,000-91,000 Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Boston; Florida; New York; Massachusetts; New Jersey; Texas 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. About the role: We’re hiring a Field Marketing Manager to own how n8n shows up at enterprise conferences and field events across the US. You’ll define the strategy, manage the budget, and ensure every event we host or attend translates into real brand presence and measurable pipeline. You’ll lead relationships with Sales, Partner, and Community teams to ensure we show up at the right events, with the right message, and follow through in a way that moves deals forward. In this role you will: - Own the enterprise events calendar end to end, from selection and logistics to on-site execution and post-event follow-up - Manage the events budget directly, making smart tradeoffs across owned activations, sponsorships, and field presence - Partner with AMER Sales, Partner and SDRs to align event strategy with pipeline priorities and target accounts - Work with Demand Gen to build pre- and post-event programs that turn attendance into qualified pipeline - Track and report on event performance, including brand impact, leads generated, and pipeline attribution - Represent n8n at key industry conferences and build relationships with event organizers and partners Requirements - Extensive event marketing experience in B2B tech or SaaS - You've owned events end to end before - not just supported them - Comfortable managing a budget and making calls on where to invest - Strong collaborator who knows how to work alongside Sales without losing sight of the marketing objective - Detail-oriented and very well organised to keep logistics tight and deadlines met - Willing to travel to key events throughout the year (Primarily US) 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.