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Location: New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily by Nebius is looking for a Commercial Legal Counsel with experience in technology transactions and privacy to join our Legal team. You’ll take ownership of commercial agreements that support Tavily’s global business, partner closely with our Go-to-Market teams, and help ensure compliance with applicable privacy and data protection requirements. You’ll also help shape the legal templates, processes, and guidance that support our continued growth. This is an opportunity to combine hands-on deal ownership with broader work across technology, AI, privacy, and international transactions. What you’ll do Lead commercial negotiations. Draft, review, and negotiate customer, SaaS, reseller, service level, vendor, and partnership agreements. Partner with Go-to-Market teams. Help move customer deals forward by offering clear advice that balances business goals and legal risk. Support privacy and data protection. Negotiate data processing agreements (DPAs) and help strengthen Tavily’s privacy program across relevant markets. Manage complex transactions. Coordinate cross-border negotiations involving multiple internal and external stakeholders. Make legal guidance practical. Translate commercial, privacy, and intellectual property considerations into actionable recommendations. Build for scale. Improve contract templates, negotiation playbooks, and legal workflows to make recurring work more efficient and consistent. What you’ll bring A J.D., LL.B., or equivalent law degree and admission to practice in the United States, an EU member state, or Israel. 4+ years of relevant legal experience at a law firm, a technology company, or a combination of both. Experience independently drafting and negotiating technology and commercial agreements, including complex enterprise customer contracts. Practical experience with DPAs and privacy requirements such as GDPR and California and other U.S. state privacy laws. Working knowledge of intellectual property and copyright issues relevant to technology agreements. Sound commercial judgment, careful drafting, and the ability to explain legal issues clearly to business partners. The ability to prioritize competing deadlines and manage negotiations with multiple stakeholders. Helpful, but not required Experience supporting a SaaS or AI business. A combination of law firm and in-house experience. Familiarity with AI regulation. Experience negotiating data purchasing or licensing agreements. Experience building legal processes in a growing technology company. Why join Tavily: Meaningful ownership: Lead negotiations that directly support the business. Close business partnership: Work alongside commercial teams on customer and partner relationships. An opportunity to build: Help shape the legal tools and processes the company uses as it grows. Exposure to evolving issues: Work at the intersection of technology, AI, privacy, and commercial law. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Compensation: In addition to base salary, this role includes bonus and equity. ##LI-CS1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $206,400 — $258,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Tech Hive UAE, a digital and IT firm based in Dubai, is seeking a Middle DevOps Engineer to join their on-site team. The role involves managing and optimizing infrastructure, automating deployment processes, and ensuring system reliability and scalability. Candidates should have experience with cloud platforms, containerization, CI/CD pipelines, and infrastructure as code tools. Strong problem-solving skills and the ability to collaborate with development teams are essential. The position is located in Dubai, UAE, requiring presence at the company's office.

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: Tel Aviv-Yafo, Gush Dan, Israel About At-Bay We are an insurance company built by cybersecurity experts, leveraging our technology and security expertise to better understand digital risks and, thus, build better insurance products and services. We help clients by providing insurance products, guidance on their security issues, and active risk management. Like software, digital risk is eating the world and we aim to empower businesses to thrive in this ever-changing landscape. We are distributed globally with hubs in San Francisco, New York City, Atlanta, and Tel Aviv. We have aggressive plans to scale our business and believe the best way to make that happen is to immediately invest in further developing our teams. Responsibilities: Planning and execution of complex, diverse software delivery systems Work closely with the Data Team and build their infrastructure as a code Responsibility for building the CI/CD processes for Data Lakes, pipelines, ETL's etc. Take important part in the design & the architecture new workloads and components Research and integrate new technologies into our stack Automate everything. From enormous continuous integration, deployment and delivery pipelines, to small but life changing utilities. Qualifications: 4 years of experience as a DevOps Engineer Experience writing code with Python & Bash- a must Strong hands-on experience with AWS is- a must Experience working with Serverless and data components (Glue, sagemaker, EMR, Lamda's etc...) - an advantage Proficient in modern CI/CD techniques, GitOps (Jenkins, Github Actions, ArgoCD) Proven experience in managing production environment at scale in cloud environment Infrastructure as a code (IaaC), preferably Terraform - a must Independent, autodidact, creative problem solver with excellent debugging skills Location : Tel Aviv, Israel What you'll get A competitive salary, and equity in a super fast growing company, taking over commercial insurance A strong emphasis on work-life balance Beautiful offices in the heart of Tel Aviv, near the train station and main bus stops Passionate, smart, and fun people to work with You will never lack a challenge, we are a unique blend of a fast growing tech startup, an international firm, and an insurance company

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.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Reports to: Head of Developer Experience Location: Hong Kong Type: 6-month contract (with the possibility to convert or renew) The Role Nex Playground is bringing families together through active play, with games tailor made with motion mechanics in mind. To support our rapid game development, we rely on robust building and testing infrastructure, a scalable CICD pipeline and various server tools. We are looking for a DevOps Engineer (Game Production), who will maintain tools and servers supporting our game production. It involves setting up monitors and reacting to problems early, ensuring that our developers can remain productive all the time. It also includes automating workflows and streamlining processes where applicable. As part of the developer experience team, we will work alongside game developers to identify their pain points and need. We maintain existing tools while innovate for new ones. We help support and scale game content production at Nex. What You'll Do Maintain our Unity build pipeline — Ensure its reliability and adopt new features. Server and tools monitoring — Set up proper monitoring and alerts for crucial components such as our package server and Developer Portal. Automate tools deployment — Adopt best practices for our tools development and deployment. Console configs and operations — Manage dev device firmwares and environments for our developers. Knowledge sharing with other DevOps teams — Stay up to date and grow together. Must Have 3+ years of game development or DevOps experience Experience working with multiple teams / stakeholders Experience working with software involving multiple components / systems. Fierce empathy for fellow developers and other teams involved in game production, such as QA. Should Have An obsession with code and product quality. Experience with tooling and automation. Knowledge of server deployment / maintenance, such as terraform. A growth mindset, always looking for more. Excitement about working in a high-growth, fast-paced environment. Nice to Have Experience with Google Cloud Platform. A love for staying active and healthy, with a passion for helping others do the same. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

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

We are looking for a Python Developer to develop a connector for a major US telecom network automation orchestrator. The connector will serve as a mediator between the orchestration platform and a network security appliance developed by an Israeli startup and deployed in this network. Requirements: — Proven experience in Python programming, including microservices, communication protocols, and databases. — Knowledge of FastAPI, REST, SOAP, and other APIs. — Proficiency in Linux, Docker, and Kubernetes. — Background in network automation and orchestration platform development is an advantage. — Knowledge of network protocols (TCP/IP, BGP, OSPF, routing/switching) is an advantage. — B2-C1 English and strong communication & collaboration skills. Conditions: — Remote work. — Mixed international team. — Cutting-edge technologies. — Flexible working hours. — Business trips to Israel (beach hotel, rented car). Additional: — High salaries and bonuses. — A friendly team with experienced mentors instead of bosses.

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: South Australia Workplace: Remote ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE: As a Territory Manager at Halter, you will play a critical role in driving business growth and ensuring customer success within your designated territory. You will be responsible for executing sales strategies, building strong customer relationships, and meeting ambitious growth targets, all while acting as Halter’s on-the-ground representative. This role requires a proactive and hands-on approach, with a focus on both expansion and long-term customer satisfaction in this role, you will prioritise daily efforts that optimise growth performance and drive value for your customers. Working closely with cross-functional teams, including Product, Support, and other regional sales teams, you’ll share field insights to ensure Halter’s technology continues to meet the needs of farmers. Your contributions will directly support Halter’s mission to support 50% of the world's habitable landmass to be more productive and sustainable. Location - This role is to be based in the Mount Gambier region   WHO ARE WE LOOKING FOR - Sales & Customer Success Expertise: Value-based sales experience, with a strong history of creating opportunities, closing deals, and building lasting customer relationships. You understand post-sales value building and have experience upselling to grow partnerships. - Beef Industry Experience: You know the ropes of beef operations, understanding the unique challenges of the industry. If you don’t, you will be deeply passionate about it, and willing to dive deep into the operations of a farm to learn rapidly. - Attitude: You naturally play for the front of the jersey. Make those around you better. Thrive under pressure and own your results. You bring authentic energy and passion to every interaction. - Territory Management: Able to use critical thinking to manage a large territory with a balanced focus on sales and customer success, making the appropriate trade-offs. - Problem Solving & Collaboration: Resourceful and quick-thinking, you work well with cross-functional teams to address challenges and drive solutions. - Willingness to Travel: Frequent travel within your territory to engage with customers and prospects.   WHAT YOUR DAY COULD LOOK LIKE - Prospecting & Expansion: Sourcing new leads and opportunities through proactive outreach, referrals, industry events, and other channels, as well as responding to inbound queries. You’ll manage the full sales pipeline from lead generation through to close. - Hitting Sales Targets: Manage your pipeline and meet high-growth sales targets by screening, qualifying, demonstrating the product, and successfully negotiating contracts with customers. - Customer Account Management: After the sale, maintain close relationships with customers to ensure their ongoing satisfaction, provide support, and address any challenges they face with Halter’s products. You’ll also ensure a smooth handoff from sales to customer onboarding and deployment of Halter, helping customers get the most value from Halter’s solutions. - Territory Ownership: A high level of ownership in your territory working with regional agricultural groups to foster deep relationships across the beef industry. - Customer Onboarding: Assist in owning the end-to-end customer experience during onboarding and deployment of Halter’s product, ensuring a smooth transition from sales to implementation. - Field Learnings & Feedback: Serve as the primary point of contact for gathering customer feedback in your territory. Work closely with Support, Product, and R&D teams to share insights from the field that can drive product improvements and innovations. - Collaborating with Support Teams: Partner with the Support Team to resolve any issues your customers encounter quickly. You’ll escalate problems as needed and ensure that customers in your territory feel fully supported.     OUR BENEFITS: - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Medibank Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave.   Halter in Australia Halter first entered Tasmania two years ago and today operates on over 30% of the state's dairy herd - a thriving customer base managed by a talented, local team. More recently, Halter has expanded across mainland Australia with the regulatory approval of virtual fencing, and is now available for beef and dairy operations in Queensland, NSW, Victoria, South Australia and the Northern Territory. Halter is also preparing to launch operations in West Australia in the coming months. Australian farmers have welcomed Halter with open arms, and we’re fielding strong demand from farmers throughout Australia who are keen on Halter. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"