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Location: In-Office 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: Austin, TX | New York, NY | San Francisco, CA or London, UK (Hybrid) About the role You'll design and build the core infrastructure that powers AI inference across Cloudflare's global network — real-time voice, frontier open LLMs, and customer-deployed models running on a heterogeneous fleet of GPUs and next-generation accelerators in hundreds of cities worldwide. Working alongside AI/ML engineers, hardware partners, and Cloudflare product teams, you'll solve hard problems in distributed systems and high-performance computing: sub-second model cold starts, multi-accelerator workload scheduling, efficient KV cache management, and a model deployment platform serving both Cloudflare and customers bringing their own models. We're building an AI inference platform embedded in the fabric of the internet — something that doesn't exist yet — and this role puts you at the center of it. We're looking for high-agency systems engineers who are energized by foundational infrastructure problems and want to define how AI runs at the edge of the network. Responsibilities Platform Architecture: Develop and maintain core components of the serverless inference platform to ensure high availability and scalability for Cloudflare users. Optimization & Performance: Optimize the model scheduling system to significantly increase efficiency and resource utilization across our inference infrastructure, and implement improvements to request routing logic to reduce latency for end-users. System Reliability: Drive significant, measurable improvements in the platform's reliability and resilience by identifying and mitigating systemic risks. Observability: Expand and refine the observability stack (metrics, logging, tracing) and fine-tune alerts to proactively identify and resolve production issues. Technical Leadership: Lead complex, cross-functional technical projects from initial concept and design through final deployment and operationalization. Mentorship: Act as a mentor to junior engineers and actively contribute to cultivating a strong, collaborative engineering culture within the team. Desirable skills, Knowledge & Experience Proven experience in systems engineering, with a primary focus on distributed, high-performance systems. Expert proficiency in Rust programming, particularly in an asynchronous environment. Deep understanding and hands-on experience with relevant networking and application protocols (e.g., TCP, HTTP, WebSocket). Solid experience with scaling and performance optimization techniques, including load balancing and caching in a distributed environment. Bonus Points Demonstrable experience with container orchestration platforms, specifically Kubernetes and/or Nomad . Familiarity with the unique architectural challenges involved in large-scale inference serving (e.g., LLMs and diffusion models). Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave 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: Tel Aviv, Israel 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 Nebius is looking for an experienced Security Architect to join the Cyber Security organization, reporting to the Security Architect Manager. This role focuses on designing and implementing secure architectures across corporate networks and cloud environments. You will play a key role in defining secure solutions, reviewing system designs, and ensuring security is embedded across enterprise infrastructure. The ideal candidate brings strong hands-on expertise in network and cloud security, along with the ability to work closely with IT, Infrastructure, DevOps, and Engineering teams to drive secure and scalable implementations. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include to: Design and implementing secure architectures across corporate networks, cloud platforms, and hybrid environments. Define and maintain security standards, guidelines, and reference architectures aligned with organizational requirements. Review and approve architecture and design of new systems, infrastructure, and network changes. Design and support secure enterprise network architectures, including segmentation, Zero Trust, and remote access solutions. Define and implement controls for firewalls, ZTNA, proxies, and network access control (NAC). Design secure cloud architectures including IAM, networking, and workload protection. Ensure proper implementation of cloud security controls such as segmentation, encryption, and monitoring. Define and support identity and access management controls, including SSO, MFA, and privileged access. Contribute to endpoint security architecture, including EDR/XDR and device hardening standards. Identify security risks and architectural gaps and recommend mitigation strategies. Participate in architecture reviews, risk assessments, and security design discussions. Collaborate with SOC, Vulnerability Management, IT, and Engineering teams to improve overall security posture. Support implementation of security architecture initiatives and improvements across the organization. Cybersecurity Architecture Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. Translate threat models, business requirements, and risk assessments into practical security controls. Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. Establish security controls for container orchestration platforms across development, testing, and production environments. Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management Develop technical security standards, architecture patterns, and security control baselines. Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. Define security requirements for identity, access, data protection, network security, workload isolation, and observability. Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. Track security findings and drive measurable improvements in the organization’s security posture. We expect you to have: 6+ years of experience in cybersecurity, with a focus on cloud security, networks, and/or SDLC Experience working with cloud platforms (AWS, GCP, Azure) and cloud security best practices. Strong hands-on experience in enterprise network security (firewalls, segmentation, VPN, proxies, NAC, etc.). Solid understanding of identity and access management (IAM), Active Directory / Entra ID, and access control models. Experience working in hybrid environments (on-prem + cloud). Strong understanding of security architecture principles and risk-based design. Experience working cross-functionally with IT, Infrastructure, DevOps, and Engineering teams. Strong analytical and problem-solving skills. It will be an added bonus if you have: Experience with Zero Trust architecture and network segmentation strategies. Familiarity with cloud security tools (e.g., Wiz). Experience with enterprise identity platforms (Entra ID / Azure AD, Okta, etc.). Knowledge of regulatory and compliance frameworks (ISO 27001, SOC 2, NIST, etc.). Experience in SaaS, cloud-native, or enterprise-scale environments. Relevant certifications such as CISSP, CCSP, or equivalent. BSc in Computer Science, Information Security, or a related field. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Staff Software Engineer, you will help define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence. Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform. Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably. Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions. Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience. Shape Reddit’s approach to an enterprise-grade RAG system Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform. Own the end-to-end platform strategy from concept through production adoption and long-term evolution. Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management. Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems. Partner across engineering, product, and leadership to align platform investments with company priorities and user needs. Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience. Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy. Who You Might Be: 10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles. Have a track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale. Demonstrate strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes. Bring deep experience operating Kubernetes and other orchestration systems in large-scale production environments. Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc. Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders Strong focus on scalability, reliability, performance, and developer experience. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle. Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $292,500 — $409,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Batumi, Georgia; Tbilisi, Georgia; Belgrade, Serbia; Bucuresti, Romania; Sofia, Bulgaria; Budapest, Hungary; Miskolc, Hungary; Aya Napa, Cyprus; Limassol, Cyprus; Nicosia, Cyprus; Paphos, Cyprus; Pilsen, Czechia; Praha, Czechia; Zagreb, Croatia; Riga, Latvia; Vilnius, Lithuania; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Porto, Portugal; Lisbon, Portugal; Erevan, Armenia; Antalya, Türkiye Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Backend Developer to join one of our clients ' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Design, develop, and maintain scalable backend services using Node.js Build and manage API integrations and external system connections Work with Azure cloud infrastructure for deployment and scaling Implement and manage event-driven systems, including geolocation-based features Develop and optimize push notification orchestration systems Contribute to DevOps processes, including CI/CD, monitoring, and infrastructure improvements Ensure system reliability, performance, and security Collaborate with cross-functional teams (product, hardware, and software) Make independent architectural decisions and drive technical solutions Requirements: Senior-level experience in backend development with strong expertise in Node.js Solid experience with DevOps practices and cloud environments (preferably Azure) Proven experience with API development and system integrations Experience with event-driven architectures Strong understanding of scalable system design Ability to work independently and take ownership of solutions Good communication skills and conversational English Nice to Have Experience in healthcare projects or familiarity with healthcare regulations Knowledge of geolocation-based systems Experience with push notification systems at scale Exposure to hardware + software integrated environments

Location: Algiers, Algeria; Agadir; Tunis, Tunisia Workplace: onsite Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. We are looking for a proactive and detail-oriented HR Administrator fluent in French and English to join our team. This role combines operational HR excellence with project coordination, ensuring smooth employee lifecycle management and supporting business growth. You will act as a reliable partner to employees and leadership, driving consistency and efficiency across HR processes.   Key Responsibilities HR Administration & Systems Management Create, maintain, and audit employee records in HRIS and internal trackers. Ensure data accuracy, consistency, and compliance across HR systems. Support onboarding and offboarding processes with precision. Handle first-level employee queries regarding documentation, system access, and leave requests. Reporting & Data Oversight Produce monthly HR operational reports (headcount, attendance, absences, etc.). Generate dashboards, analytics, and ad hoc reports as required. Employee Lifecycle Management Track contract expirations, follow up with stakeholders, and prepare documentation. Manage HR administrative documents with compliance and accuracy. Recruitment Support & ATS Management Provide operational support to recruitment teams, including scheduling and documentation. Ensure data integrity and organization within the ATS. Generate recruitment reports and assist with candidate communication. HR Project Coordination Contribute to HR projects such as system enhancements, policy rollouts, audits, and process standardization. Maintain project documentation, timelines, and trackers. Support the deployment of consistent HR standards across teams and regions.   Qualifications Bachelor’s degree in Human Resources, Business Administration, or related field. Minimum 3–5 years of experience in HR administration or HR project coordination. Strong proficiency with HRIS and ATS systems. Skilled in data management, reporting, and analytics. Excellent organizational skills, autonomy, and attention to detail. Strong interpersonal and communication skills, with the ability to work in a multicultural environment. Fluent in French and English, both written and spoken. High level of discretion and integrity in handling confidential information At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team

Location: Remote - Bulgaria MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions. This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB , building automation and tooling in Python , and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question. You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you. Key Responsibilities Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability Communicate results, trade-offs, and recommendations clearly to both technical and business audiences Map and improve business processes through data-driven analysis and process design Requirements & Qualifications 7+ years of professional experience in data science, advanced analytics, or a quantitative field Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow Excellent communication skills - you present complex technical work in a way that drives decisions Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding Relentlessly curious and ambitious - you're always learning, always building, always improving A public GitHub profile showcasing your projects, experiments, or contributions Nice to Have Experience with Next.js or modern frontend frameworks for building data-facing applications FastAPI experience for serving models or internal tooling Background in business process analysis or operational process design Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus Experience with JSON-based data formats, APIs, and integration patterns Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Benefits & Culture Globally distributed team environment Remote or hybrid work options (location-dependent) Challenging projects with company-wide impact Competitive compensation, 25 days paid annual leave, plus holidays A culture that values curiosity, clean engineering, and people who genuinely love what they do Location – Bulgaria (remote) Travel – Flexible for adhoc travel Compensation Salary Range : 34,000 - 38,500 EUR per year (gross) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote -- Romania MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions. This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB , building automation and tooling in Python , and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question. You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you. Key Responsibilities Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability Communicate results, trade-offs, and recommendations clearly to both technical and business audiences Map and improve business processes through data-driven analysis and process design Requirements & Qualifications 7+ years of professional experience in data science, advanced analytics, or a quantitative field Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow Excellent communication skills - you present complex technical work in a way that drives decisions Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding Relentlessly curious and ambitious - you're always learning, always building, always improving A public GitHub profile showcasing your projects, experiments, or contributions Nice to Have Experience with Next.js or modern frontend frameworks for building data-facing applications FastAPI experience for serving models or internal tooling Background in business process analysis or operational process design Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus Experience with JSON-based data formats, APIs, and integration patterns Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Benefits & Culture Globally distributed team environment Remote or hybrid work options (location-dependent) Challenging projects with company-wide impact Competitive compensation, 25 days paid annual leave, plus holidays A culture that values curiosity, clean engineering, and people who genuinely love what they do Location – Romania (remote) Travel – Flexible for adhoc travel What's in it for you? Compensation Salary Range : 160,000 - 200,000 RON per year (gross) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote - India MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions. This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB , building automation and tooling in Python , and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question. You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you. Key Responsibilities Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability Communicate results, trade-offs, and recommendations clearly to both technical and business audiences Map and improve business processes through data-driven analysis and process design Requirements & Qualifications 7+ years of professional experience in data science, advanced analytics, or a quantitative field Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow Excellent communication skills - you present complex technical work in a way that drives decisions Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding Relentlessly curious and ambitious - you're always learning, always building, always improving A public GitHub profile showcasing your projects, experiments, or contributions Nice to Have Experience with Next.js or modern frontend frameworks for building data-facing applications FastAPI experience for serving models or internal tooling Background in business process analysis or operational process design Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus Experience with JSON-based data formats, APIs, and integration patterns Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Benefits & Culture Globally distributed team environment Remote or hybrid work options (location-dependent) Challenging projects with company-wide impact Competitive compensation, 25 days paid annual leave, plus holidays A culture that values curiosity, clean engineering, and people who genuinely love what they do Location – India (remote) Travel – Flexible for adhoc travel What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are building AI-powered applications that help WorldQuant employees access information, synthesize knowledge, and support strategic decision-making. As an AI Software Developer, you will build and evolve these products end-to-end as part of a small team. Given a feature or problem area, you will help turn an initial need into a well-defined solution: clarify requirements, shape the user experience, design and implement the system, test and deploy it, and evaluate whether it is delivering value in practice. This is a hands-on engineering role with meaningful product ownership. You will work closely with internal users, incorporate feedback into the product, and contribute to feature prioritization and roadmap discussions. You will work on advanced AI capabilities, including agentic and deep-research workflows. You will help ensure these capabilities are useful, trustworthy, scalable, and practical for real-world use. What You’ll bring: Strong software engineering skills, preferably in Python, with an ability to build reliable, maintainable production systems. Experience taking features from an ambiguous request through technical design, delivery, rollout, and iteration. Product-minded approach: able to clarify user needs, make pragmatic scope and technical trade-offs, and focus on high-impact outcomes. Strong analytical skills and a passion for solving complex, real-world problems. Solid understanding of modern AI systems and practical experience with LLM-powered applications, including retrieval-augmented generation (RAG), agentic workflows, document search, and evaluation. Familiarity with relevant data and platform technologies, such as vector search/vector databases, SQL, and messaging systems. Ability to define and use appropriate measures of feature quality, usefulness, reliability, and adoption. Strong communication skills in English, including the ability to work directly with and support internal users. Mature, thoughtful attitude; comfortable working independently in a small team and taking responsibility for outcomes. Strong delivery mindset and a drive to get things done. Experience in finance is not required. What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams #LI-MH1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Workplace: remote Requirements D365 F&SCM Technical Expertise: 5+ years of hands-on experience with Microsoft Dynamics 365 Finance & Supply Chain Management (F&O) Strong background in X++ development and D365 technical architecture patterns Deep knowledge of D365 extensibility: extensions (no overlayering), event handlers, CoC (Chain of Command) Mastery of Data Entities, DIXF/Data Management Framework, and Business Events Experience with Lifecycle Services (LCS), Visual Studio, and Azure DevOps for D365 ALM Familiarity with D365 performance tooling: Trace Parser, SQL insights, LCS monitoring Integration Architecture: Proven experience designing enterprise integrations using Azure Integration Services (Logic Apps, Functions, Service Bus, APIM, Event Grid, Data Factory) Strong understanding of synchronous vs. asynchronous integration patterns and when to apply each Hands-on experience with OData, REST APIs, and SOAP-based integrations in D365 context Experience with Dual-write / Dataverse integration scenarios Ability to design for resilience: dead-letter handling, idempotency, retry policies, circuit breakers Familiarity with middleware platforms and ESB patterns Cloud & DevOps: Solid Azure platform knowledge: compute, storage, networking, and security fundamentals relevant to D365 deployments Experience with CI/CD pipelines, branching strategies, and ALM in D365 projects Understanding of Azure Active Directory, managed identities, and OAuth 2.0 in integration security Soft Skills & Delivery Experience: Experience delivering complex, multi-country ERP implementations Ability to communicate architecture concepts clearly to both technical and business stakeholders Comfortable operating across the full project lifecycle: discovery, design, build, test, go-live, and hypercare Nice to have Experience with Power Platform (Power Apps, Power Automate, Power BI) in enterprise D365 context Knowledge of D365 Finance or SCM functional processes (GL, AR/AP, procurement, inventory, WMS, manufacturing) Familiarity with Microsoft Copilot and AI capabilities in Finance & Operations apps Experience with ISV solutions commonly layered on D365 F&SCM Microsoft certifications: MB-500 (D365 Finance & Operations Developer), AZ-204 (Azure Developer), or AZ-305 (Azure Solutions Architect) Background in large enterprise, multi-wave ERP rollouts Exposure to Dynamics AX 2012 migrations to D365 cloud Responsibilities Solution Architecture & Design: Design end-to-end technical architecture for D365 F&SCM solutions, including integration landscape, data architecture, and customisation strategy Produce Solution Blueprint documents, architecture decision records (ADRs), and technical design documents Define and enforce best practices for development, extensions (no overlayering), and system performance Ensure solutions are scalable, maintainable, secure, and aligned with Microsoft's recommended methods Conduct fit/gap analysis and translate business requirements into technical designs Integration & Data: Own the integration architecture across all workstreams — ERP to ERP, ERP to CRM, ERP to third-party, and cloud-native services Design data migration strategies and govern data quality and data architecture throughout the project lifecycle Define and review integration security, error handling, retry logic, and operational monitoring Evaluate and recommend Azure Integration Services components appropriate to each use case Technical Leadership: Provide technical oversight and mentoring to development and integration teams Collaborate with Functional Architects and Consultants to bridge business and technical domains Define DevOps practices: CI/CD pipelines, ALM governance, LCS environment strategy, and release management Ensure security, compliance, and governance standards are met across all technical deliverables Drive performance optimisation and proactive troubleshooting in complex environments Presales & Client Engagement: Support presales activities including solution design, estimation, and RFP responses Act as a trusted technical advisor to clients, guiding them on architecture trade-offs and Microsoft platform direction Contribute to capability building, internal communities of practice, and knowledge sharing We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Tatyana hh@itransition.com

Location: Malta The Wow As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization. A taster of what you will be involved with: Design, implement, and optimize machine learning models to solve complex business problems. Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring. Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems. Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality. Write and maintain high-quality, production-ready code for machine learning models and services. Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement. What we are looking for: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments. Proficiency in Python, MLFlow and Spark would be considered an asset. Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred. Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights. Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Limassol Cyprus Workplace: OnSite ABOUT US Scorewarrior is a game developer and publisher based in Limassol, Cyprus. We are working on Total Battle — a cross-platform MMO 4X strategy game with a deep social system and extensive player interaction. We have 2 million monthly active players and continue to grow with the goal of becoming the #1 game in the genre. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. Our team is looking for a Senior C++ Developer to work on the client-side implementation of game features (from design document to production delivery) for a large-scale multiplayer project with long-term gameplay. TASKS: - Design and implement solutions for new game mechanics — using documentation from game designers, create a technical design and implement it in Cocos2d-x and Unity based projects. - Prepare RFC documents describing your approach and discuss them with the team before implementation. - Deliver your solution to production and ensure it runs smoothly by monitoring its behavior after deployment. - Perform code reviews for other team members and follow team coding guidelines and best practices. - Participate in team meetings and discussions to stay aligned on priorities and progress. REQUIREMENTS: - At least 3 years of experience working with C++ (17+) in a product-based company. - Experience working with interfaces on any framework. - Knowledge of version control systems at a level sufficient for most real-world tasks. - Knowledge of design principles, patterns, and when to apply them. - Strong communication skills and initiative. NICE TO HAVE: - Experience with 2D/3D game engines (e.g., Cocos2d-x, Unity or their equivalents) - Experience in developing with C# - Background in projects with client-server interactions WHAT WE OFFER - A team of professionals with a passion for gamedev and a drive to make Total Battle the #1 MMO 4X strategy game. - An excellent remuneration package, including a 13th salary. - Full relocation coverage for you and your family to Cyprus (Limassol). - A modern, sunny office close to the sea. - Private health insurance for you and your family members. - A monthly pre-school, school, and university allowance for employees' children. - Lunch compensation. - A sports and fitness allowance. - Company-funded personal development opportunities (professional and language courses, books, etc.). - Bonuses for outstanding results, years of service, marriage, and childbirth. - Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. Now we look for a Data Scientist to join our ML team Job Responsibilities Search & Retrieval Develop and improve retrieval pipelines for large-scale production search systems. Work on candidate generation, query processing, matching, filtering, and retrieval strategies. Improve search relevance, result coverage, and overall SERP quality. Analyse failed searches, irrelevant results, zero-result queries, and other search-quality issues. Explore lexical, semantic, behavioural, hybrid, and vector search approaches. Ranking & Relevance Build, train, and optimise ranking models for search and recommendation systems. Develop learning-to-rank solutions using behavioural, content-based, contextual, and real-time features. Design ranking features based on clicks, conversions, popularity, freshness, availability, and user behaviour. Evaluate ranking quality using Precision, Recall, NDCG, MAP, MRR, and related relevance metrics. Optimise models for low-latency inference and investigate relevance degradation, bias, and feedback loops. Recommendation Systems Develop recommendation models and candidate-generation strategies for personalised and non-personalised scenarios. Build recall and ranking stages for multi-stage recommendation pipelines. Work on related-item, complementary-item, next-action, and behavioural recommendation use cases. Develop user, item, session, and contextual representations. Balance relevance, diversity, novelty, coverage, and business constraints. Experimentation & Evaluation Design and run offline and online experiments for search, ranking, and recommendation improvements. Build evaluation frameworks that connect model quality with product and business outcomes. Design and analyse A/B tests using CTR, conversion, engagement, retention, and revenue-related metrics. Create reproducible pipelines for data preparation, model training, evaluation, and comparison. Evaluate model robustness across traffic segments, query groups, user cohorts, and edge cases. ML Pipelines & Collaboration Build end-to-end ML pipelines for feature generation, training, validation, deployment, and monitoring. Work with high-load, real-time, and low-latency production systems. Process large datasets using Python, SQL, batch pipelines, streaming systems, and Kafka. Collaborate with product, backend, data engineering, and MLOps teams to productionise ML solutions. Communicate technical decisions, experiment results, and trade-offs while contributing to ML best practices. You’ll thrive here if you have Strong hands-on experience building production search, ranking, or recommendation systems. Strong Python and SQL skills for machine learning, data processing, and analytical queries. Practical experience with learning-to-rank, candidate retrieval, search relevance, or recommender-system modelling. Experience building and evaluating multi-stage retrieval and ranking pipelines. Strong understanding of search and recommendation metrics, including Precision, Recall, NDCG, MAP, MRR, CTR, and conversion. Experience with feature engineering and behavioural data such as impressions, clicks, sessions, and conversions. Experience with ML libraries such as scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, or TensorFlow. Experience working with large-scale production systems, distributed data processing, analytical databases, and streaming platforms. Strong understanding of experimentation and A/B testing, with the ability to independently build, and validate ML solutions. That can be a plus: Experience with Elasticsearch, OpenSearch, Solr, Lucene, or another search-engine stack. Experience with vector databases, approximate nearest neighbour search, and hybrid lexical-semantic retrieval. Experience with query understanding, classification, spell correction, synonyms, or query expansion. Experience with DSSM, two-tower models, BERT-based ranking, cross-encoders, or similar neural architectures. Experience with large-scale data and ML platforms such as Airflow, MLflow Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR interview (40 min); Technical interview (1.5 hour); Final interview (45 min).

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are seeking a VP of AI Strategy & Transformation — a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation. The ideal candidate is, first and foremost, a deeply technical AI practitioner — someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only — a builder-leader who ships and who makes others ship. What You’ll Be Doing 1. Company AI Strategy & Transformation Own the company’s AI roadmap end-to-end — from foundation model selection to business-unit-specific deployment plans: Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets. Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms. Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions. Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications. Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points. Identify and evaluate strategic AI acquisition, investment, and partnership opportunities. 2. System Building & Technical Execution Architect and deliver production-grade AI systems that create measurable business impact — not just prototypes: Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale. Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift. Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end. Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction. Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team. 3. Organizational AI Enablement & Adoption Drive AI adoption across every business unit — making AI a core competency for the entire organization, not just the engineering team: Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions. Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows). Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation. Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support. Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent. Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs. What We Look For In You 10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab). Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency). Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks. Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools). Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications. Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. Nice to Haves Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements. Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users). Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation. Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community. Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks). Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops). Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. #LI-VW1 #ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are seeking a VP of AI Strategy & Transformation — a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation. The ideal candidate is, first and foremost, a deeply technical AI practitioner — someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only — a builder-leader who ships and who makes others ship. What You’ll Be Doing 1. Company AI Strategy & Transformation Own the company’s AI roadmap end-to-end — from foundation model selection to business-unit-specific deployment plans: Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets. Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms. Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions. Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications. Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points. Identify and evaluate strategic AI acquisition, investment, and partnership opportunities. 2. System Building & Technical Execution Architect and deliver production-grade AI systems that create measurable business impact — not just prototypes: Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale. Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift. Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end. Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction. Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team. 3. Organizational AI Enablement & Adoption Drive AI adoption across every business unit — making AI a core competency for the entire organization, not just the engineering team: Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions. Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows). Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation. Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support. Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent. Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs. What We Look For In You 10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab). Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency). Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks. Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools). Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications. Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. Nice to Haves Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements. Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users). Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation. Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community. Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks). Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops). Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. #LI-VW1 #ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Amsterdam, Netherlands; London, United Kingdom 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical; designing systems capable of handling tens of gigabytes per second across continuously evolving datasets. In this position, your responsibility will be to: Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current Ensure reliability and predictability of pipelines under high-throughput conditions Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals You may be a good fit if you: 8+ years of experience building production backend or data infrastructure systems Strong Go experience (C++/Rust is a plus) Experience with large-scale data processing systems (10+ GiB/sec throughput, petabyte-scale datasets, etc.) Experience building or operating databases, storage systems, data planes, or indexing pipelines Strong understanding of distributed systems, fault tolerance, consistency, and scalability Experience running production systems and handling operational incidents Systems-thinking mindset and ability to reason about end-to-end data flows Strong candidates may also have experience with: Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam Content systems including, scraping, proxying, or anti-bot infrastructure Ad tech, social networks, or other large-scale content platforms DBMS internals (open source or SaaS) and cloud infrastructure Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation (ICPC, IOI, or similar) SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. 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: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT As an End User Computing Engineer, you will provide regional engineering expertise while reporting into QRT’s Global Engineering Team. You will help design, build and improve the Windows services used across QRT, focusing on Windows 11, Microsoft Intune, Windows Autopilot, Group Policy, Citrix DaaS and automation. Working with colleagues across APAC and the wider global team, you will ensure our users receive a secure, consistent and high-performing experience across physical and virtual desktops. Responsibilities Engineer and maintain enterprise Windows 11 environments across physical and virtual platforms. Design and manage Windows Autopilot provisioning and device deployment processes. Manage device configuration, security, compliance and application deployment through Microsoft Intune and Group Policy. Support and optimise Citrix DaaS, including image management, logon performance and user experience. Engineer workspace management, profile management and user environment personalisation solutions. Develop PowerShell automation for provisioning, application deployment, health checks and remediation. Own endpoint lifecycle processes from initial provisioning through to patching and decommissioning. Act as the regional engineering escalation point for complex or business-critical EUC issues. Produce reporting for endpoint health, patching, BitLocker and security compliance. Contribute to global endpoint standards and engineering projects. Some travel to other APAC offices may be required Your experience Strong hands-on experience with Microsoft Intune and Windows Autopilot in an enterprise environment. Strong experience engineering and supporting enterprise Windows 10/11 environments. Advanced PowerShell scripting and automation skills. Experience supporting Citrix DaaS, VDI or a comparable virtual desktop platform. Experience designing and managing Group Policy. Experience with workspace management, profile management and user personalisation technologies. Good understanding of Active Directory, Entra ID, authentication and hybrid identity. Experience with endpoint security, patching and application deployment. Strong troubleshooting and communication skills. The ability to work independently in APAC while contributing effectively to a global team. Experience with Microsoft 365, PKI or infrastructure-as-code tooling would be beneficial. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: New South Wales 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 We’re growing our team in New South Wales, to meet market demand! Halter is looking for a second hungry and driven sales leader to work with our sales team and grow Halter in NSW. We're looking for a go-getter who is out in the field, meeting farmers, championing Halter and converting them into customers. A ‘never give up attitude’ is crucial for this role; you will be a significant contributor to the growth and success of Halter in New South Wales. You’ll be responsible for setting and managing quotas and commissions for the NSW team, sales capability management and mentoring for our junior sales staff. You’ll use your strong sales background to drive end-to-end sales, from cold calling and on-farm meetings to deeply understanding our customers’ farm systems. You'll detail Halter’s value proposition, progress the sale, and ultimately close the deal. Make your mark with Halter and help us push the boundaries of farming, connecting animals and humans like never before. WHAT YOUR DAY COULD LOOK LIKE - Setting and managing quotas, commissions and other sales management tasks for the sales team. - Coaching, mentoring and developing our junior sales staff to help drive their professional growth to reach targets. - Sourcing new leads and opportunities through proactive outreach, referrals/introductions, industry events and other channels, as well as fielding and responding to inbound inquiries. - Meet high growth sales targets by managing pipeline through to close, including screening, qualifying, executing on-farm demonstrations and successfully negotiating contracts with customers. - Collaborating with Customer Success to ensure successful post-sales handoff, implementations, customer satisfaction and account renewal. - Providing support, insight and communication to help build and foster trusting and enduring relationships with customers as they wait for deployment. - Leveraging opportunities and participating in relevant industry/Halter events and demonstrations. - Building and leveraging industry relationships to establish and maintain Halter's brand. - Focusing on the customer and their needs, providing feedback to help drive the product roadmap. - Working with the team to optimise and evolve the sales process to become faster, more efficient and more predictable as the company scales WHO ARE WE LOOKING FOR - A complete end-to-end sales skill set with at least five years of experience. - Proven track records and examples of successfully sourcing new prospects, securing meetings with new leads and creating new sales opportunities. - Someone highly experienced in value-based sales with a proven history of closing deals and high-volume sales results. - Well-prepared with solid communication skills to present Halter's value proposition. - Experience in beef farming or within the agricultural sector is highly desirable. - A person who is results-driven, highly motivated with exceptional time management skills. - Adaptability in a high-stakes sales environment and the ability to think on your feet. - Sales experience in the technology-based industry is preferred - A university degree or equivalent would be excellent but not a must. 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 entered Tasmania two years ago and has rapidly expanded to now have 20% of the state's dairy herd with Halter - a thriving customer base managed by a talented, local team. Halter recently entered Queensland and NSW, and now has a growing team and customer base across both states. In Victoria and South Australia, Halter is preparing to launch operations following recent regulatory approval for virtual fencing. In Western Australia, Halter does not yet have customers. In these states there is a groundswell of demand for Halter across thousands of farmers. In Australia, virtual fencing is regulated by individual states' animal welfare legislation. Until recently, several states had legislation that did not permit farmers to use high-quality virtual fencing technology. With NSW parliament's announcement regulating virtual fencing, and Victoria and South Australia following suit, these barriers are now lifting. 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!"