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Location: India (Remote); Argentina (Remote); Romania (Remote) Workplace: Remote THE PRODUCTION TEAM AT LILT LILT’s production team focuses on onboarding and localized content delivery for enterprise and mid-market customers, who use our AI technology for their multilingual content requirements. Our team engages with customers from post-sales through steady-state production and is made up of experts in various functional and technical areas of LILT’s overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering, and Operations teams. Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers. While we’re at it, we have fun and enjoy the ride together. WHERE YOU’LL WORK This is a contract position based out of India or Romania. Authorization to work in India, Argentina, or Romania is a precondition of employment. WHAT YOU’LL DO We're looking for an experienced multimedia specialist with a localization background who loves solving hard problems, ensuring work is done on time to keep the customer experience seamless, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage competing priorities from multiple customers at once. You will be responsible for scoping and processing multimedia content within our platform and partner platforms (e.g. CaptionHub, Articulate), ensuring accurate and timely completion of tasks. You will work hand-in-hand with Sales, Production, Operations, and Engineering. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global multimedia content management lifecycle, a working knowledge of video and audio processing with respect to content pipelines and integrations. You will have the insight to make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. KEY RESPONSIBILITIES: - Act as a localisation subject matter expert during the pre-sales cycle, providing guidance on e-learning content workflows, tools, and formats. - Scope and plan multimedia localisation projects for e-learning content across multiple languages, ensuring accuracy, efficiency, and scalability. - Prepare source e-learning files (e.g., Articulate Storyline, Rise, Captivate) for localisation, including extraction of translatable content, audio, and visual assets. - Reintegrate translated and localised materials, ensuring fully functional, linguistically accurate final e-learning modules. - Support customer onboarding and implementation, offering workflow guidance for e-learning localisation. - Manage localisation of video, voiceover, subtitling, and interactive learning assets in line with project requirements. - Provide best practices for managing localisation-ready content and advise on automation opportunities in e-learning localisation workflows. - Operate and maintain localisation tools and platforms, supporting both AI-driven and human-led localisation processes. - Review localised e-learning content, including SCORM packages, for quality, technical accuracy, and adherence to brand and platform standards. - Perform final QA checks ("final eyes") and prepare final files for delivery to clients or internal stakeholders. - Act as the go-to expert on e-learning localisation workflows and tools across the organisation. - Meet SLAs and KPIs for engineering and localisation delivery. SKILLS AND EXPERIENCE: - 3+ years of experience in e-learning localisation or multimedia localisation with a strong focus on learning and development content. - Deep expertise in preparing and localising content developed in Articulate Storyline, Rise, Adobe Captivate, and similar authoring tools. - Strong understanding of SCORM/xAPI compliance, LMS integrations, and common e-learning file types. - Proficiency in video subtitling, editing, and localisation, including experience with voiceover, dubbing, audio integration, and subtitle syncing. - Experience with video editing software (e.g., Adobe Premiere Pro, Camtasia, Audacity) and managing media files at scale. - Familiarity with multimedia file formats and localisation-friendly formats (e.g., XLIFF, JSON, XML, STRINGS, SRT, VTT). - Exposure to CAT tools and localisation platforms (TMX editors, translation memory tools, OCR, and alignment software). - Solid understanding of character encoding, formatting rules, and localisation QA standards. - Strong organizational, communication, and problem-solving skills. - Comfortable managing large file repositories and understanding of file transfer methods (FTP, SFTP, cloud-based systems). AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage — ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads. This is a high-impact, hands-on architecture role where you’ll define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites. You are welcome to work remotely from the USA . Your responsibilities will include: Cluster Design : Architect scalable GPU cluster topologies including compute nodes, interconnect (InfiniBand, Ethernet), storage, and control planes. Performance Modeling : Analyze AI/ML workloads (e.g. LLM training, inference) to inform design tradeoffs across latency, bandwidth, and GPU density. Network Architecture: Align with network architect relevant design and validate low-latency, high-throughput interconnects (e.g., InfiniBand HDR/NDR, RoCEv2) at POD and DC scale. Storage Integration: Work with storage teams to optimize performance for training datasets, checkpointing, and others. Reliability & Monitoring : Understand and analyze signal from monitoring systems to the detect flows in design Collaboration : Partner with site reliability, networking, storage, and DC engineering teams to operationalize and scale your architecture. We expect you to have: 5+ years of experience designing clusters. Deep understanding of modern GPU architecture (NVIDIA, AMD, etc.). Experience with HPC interconnects (InfiniBand & RoCE). Solid background in systems architecture, networking, and hardware reliability. Experience in scripting for automation and telemetry pipelines (Python, Go, etc.) Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries ranging from $184K to $318K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades. What we offer Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Hybrid working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! 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: London, Singapore Selini Capital - Job Description Role: Quantitative Researcher Location: London, Singapore Working Pattern: Office-Based About Selini: Selini is a global trading firm focused on systematic trading and venture investing, all within the digital assets space. The Role: Selini Capital is seeking a highly analytical and technically gifted Quantitative Researcher to join our high-frequency trading team. In this role, you’ll focus on refining features, designing better models, and advancing core research pipelines. You’ll collaborate closely with other researchers and engineers to push the boundaries of what’s possible in highly competitive electronic markets. The ideal candidate is a curious, rigorous thinker with a strong technical foundation and a bias toward empirical validation. You enjoy working with data, building systems to understand it, and using that understanding to drive performance. Responsibilities: As a Quantitative Researcher, you will: Design, test, and refine features and model architectures to improve prediction and execution performance Develop and improve research pipelines and tools for large-scale strategy simulation and optimization on a cutting-edge compute cluster Conduct deep-dive analyses of market data, live strategy behavior, and model outputs to guide iterative improvements Stay up-to-date on advances in quantitative methods, ML, and optimization applying new insights to real-world challenges Why This Role Is Unique: Research First - This role is research-heavy you’ll be focused on signal improvement, model fidelity, and hypothesis generation, not plumbing infrastructure or devops. Breadth and Depth - You’ll work at every level of the alpha stack: from feature design and statistical modeling to optimizer tuning Direct Feedback Loop - We deploy and iterate quickly. Your work will feed directly into live strategies and have measurable real-world impact World-Class Environment - Join a high-talent, low-ego team with experience across elite trading firms, olympiads, and academic research Core Qualifications: 1–5 years of experience in quantitative research, applied ML, or statistics Fluency in Python and/or C++, with the ability to translate research concepts into performant, production-ready implementations Strong knowledge of algorithms, linear algebra, statistics, and optimization techniques Ability to uncover meaningful structure in noisy, high-frequency market data — from alpha signal extraction to modeling order book behavior Can take research ideas from concept to experimental evaluation with minimal supervision Signals of Excellence: Track record of PNL generation using model-driven strategies Outstanding academic record in a quantitative field Strong performance in competitive programming or quantitative olympiads Company Culture & Team Fit: We’re a close-knit team that values: High ownership and initiative Curiosity, intellectual honesty, and rapid learning Clear, direct communication Working together toward shared goals no ego, no politics We hire people who love building, solving, and improving and who want to learn from and contribute to a team of exceptional peers. Compensation & Benefits: Very competitive compensation, with strong upside based on contribution and performance Competitive holiday allowance Pension contribution and medical cover Free daily Deliveroo lunch High-spec office and technology Team socials Global company offsites and development opportunities

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Account Executive on the Startups team, you’ll land net-new startup customers and help them adopt Vercel through scaling, working with founders and technical leaders who are making critical architectural decisions. You’ll generate your own pipeline, spot high-potential startups early, and make Vercel their default stack before competitors get in. The main focus is turning early plays into repeatable playbooks that scale across our startup portfolio, using automation and agents to work at high leverage. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you’ll do Generate pipeline through outbound, targeting high-potential startups early Land new logos and drive first activation on Vercel Build relationships with founders, developers, and technical leaders by learning their architecture, use cases, and constraints Guide teams adopting AI-native architectures and show how Vercel supports new workloads, performance requirements, and scaling patterns Build automations, agents, and workflows to focus your time on the highest-impact customer work, and turn what works into repeatable playbooks What you need 2+ years of experience closing deals Owned revenue outcomes across a range of deal sizes and complexities Worked with founders and technical leaders at companies from pre-seed through Series D Can explain how modern web and AI-native applications are built and scaled, including frontend performance and scaling tradeoffs Bonus if you Have built, founded, or engineered software, or worked in a technical go-to-market role Have helped grow an early sales motion into a structured one Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $170,000 - $240,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identify and remediate security gaps through code review, threat modeling, and hands-on debugging Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production Bachelor's degree in Computer Science or equivalent industry experience Strong programming skills in Python or at least one systems language such as Go or Rust Experience contributing to cloud security controls A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix Clear communication skills and the ability to work collaboratively across engineering teams Low ego and high empathy, with a genuine interest in helping teammates succeed Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy Experience with eBPF for security monitoring and enforcement, or developing kernel security policies Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE Background building or operating security systems in environments that support research workflows and rapid iteration Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus We are looking for a Data Governance Analyst to join our team.RequirementsBusiness Metrics & Data Governance: experience documenting and standardizing business metrics, KPIs, business glossary, and business logic to establish a single source of truth across the organization.Data Quality: hands-on experience translating business requirements into measurable Data Quality rules and implementing automated validation using Great Expectations, Soda, dbt Tests, or similar frameworks.SQL & Python: strong SQL and Python skills for data validation, automation, framework development, and root cause analysis of data quality issues.Metadata Management: experience with data catalog and metadata management platforms (OpenMetadata, DataHub, or similar) to maintain metadata, lineage, and documentation.Data Governance Principles: solid understanding of Data Governance, Data Stewardship, Data Lineage, Metadata Management, and Data Lifecycle Management to support scalable governance practices.AI: practical experience using AI tools to automate workflows, improve productivity, and enhance data analysis and documentation processes.Nice to haveExperience with streaming technologies (Kafka, Spark, Flink).Experience with orchestration tools (Airflow, Dagster) and CI/CD.Experience with semantic/metrics layer tools (dbt Semantic Layer, Cube, LookML).Knowledge of data privacy and security standards (GDPR, CCPA).Previous experience in iGaming or FinTech.ResponsibilitiesDefine and standardize business metrics, KPIs, and business glossary together with stakeholders to ensure consistent business definitions across the company.Drive Data Governance adoption by introducing standards, best practices, and governance processes across data domains.Design and develop the company's Data Quality framework, including validation rules, monitoring, and quality standards to improve data reliability.Implement and maintain automated Data Quality checks and anomaly detection to proactively identify and resolve data issues.Build and manage the data catalog, metadata, and data lineage to improve data discoverability and transparency.Collaborate with Data Engineers to integrate Data Quality controls into data pipelines and investigate data inconsistencies across systems.We offer:High salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Location: Thessaloniki, Greece; Sheki, Azerbaijan; Kutaisi, Georgia; Tbilisi, Georgia; Vanadzor, Armenia; Yerevan, Armenia; İzmir, Türkiye; Isfahan, Iran; Hrazdan, Armenia; Homs‎, Syria; Gyumri, Armenia; Gebele, Azerbaijan; Gaziantep, Türkiye; Ganja, Azerbaijan; Fethiye, Türkiye; Famagusta, Cyprus; Eskişehir, Türkiye; Edirne, Türkiye; Dashoguz, Turkmenistan; Damascus, Syria; Bursa, Türkiye; Burgas, Bulgaria; Bucharest, Romania; Bnei Brak, Israel; Birkirkara, Malta; Batumi, Georgia; Basrah, Iraq; Baku, Azerbaijan; Baghdad, Iraq; Nicosia, Cyprus; Limassol, Cyprus; Athens, Greece; Astana, Kazakhstan; Ashgabat, Turkmenistan; Antalya, Türkiye; Ankara, Türkiye; Almaty, Kazakhstan; Aleppo, Syria; Alanya, Türkiye; Adana, Türkiye; Abovyan, Armenia; Bodrum, Türkiye; Samarkand, Uzbekistan; Tashkent, Uzbekistan; Lisbon, Portugal Workplace: fully Hey there! David Kennedy Recruitment is on the lookout for an amazing Mass Volume Freelance Recruitment Partner to join our team. If you're a true hunter and love connecting talented individuals with our clients needs we want to hear from you! This freelance role offers a commission-based structure, meaning your earnings will be directly tied to your successful candidate placements. Position: Freelance Recruiter Location: Anywhere in the world (ideally within GMT+2 max) Employment type: Freelance - able to invoice Remuneration: Commission per placed candidates. RESPONSIBILITIES: Dive into your own sourcing channels of your choice, job boards, social media, and networking to source, hunt and attract top-notch candidates Conduct screenings, assess qualifications, test language levels, and determine the perfect fit for specific job roles Work directly with our SDM and MD to drive successful recruitment placements Keep a steady pipeline of talented candidates for future opportunities and build lasting relationships with them Coordinate interviews between candidates and hiring managers like a pro as and when needed Keep candidate profiles in our ATS well-described and updated for future reference REQUIREMENTS: Proficient in English(spoken and written) - this is a non negotiable Full availability between 8-8 Mon-Fri (GMT+1) Proven experience sourcing/hunting/recruiting talent (within Volume SaaS/BPO/Languages for roles clients within and outside of Europe) Important you have your own access to LinkedIn (Minimum) Sales Navigator and have circa 10,000 connections Stellar communication and people skills Ability to juggle multiple recruitment projects and work independently Great time management, responsiveness and organizational abilities Familiarity with applicant tracking systems (ATS) and recruitment software BENEFITS: Benefit from a superb commission package (30-50% on all placements) Embrace the freedom and flexibility of fully remote work from anywhere in the world and managing your own schedule Dive into various industries and work with diverse, mainly white-collar clients Join a collaborative and globally based virtual team environment Enjoy the smoothness, fairness and clarity of collaboration with David Kennedy Recruitment ** Please demonstrate your experience in the above otherwise your application may be rejection automatically **

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a talented Data Engineer with expertise in Talend to join our growing team. As a Data Engineer, you will play a critical role in building and maintaining data pipelines that enable seamless data integration and processing across various systems. You will work closely with data analysts and data scientists to ensure that data is accessible, reliable, and structured for analysis. Responsibilities: Design, develop, and maintain ETL processes using Talend to extract, transform, and load data from various sources. Collaborate with stakeholders to understand data integration requirements and ensure data is delivered accurately and on time. Implement data quality checks and validation procedures to maintain data integrity. Optimize data pipelines for performance and scalability, ensuring efficient data processing. Monitor data flow and resolve any issues related to data processing or quality. Document data architecture, ETL processes, and data lineage to enhance knowledge sharing within the team. Stay updated on best practices and advancements in data engineering, Talend, and related technologies. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer, with a strong focus on Talend. Expertise in ETL design and implementation using Talend data integration tools. Solid understanding of database management systems, SQL, and data warehousing concepts. Experience with data modeling and database design best practices. Strong analytical and problem-solving skills, with attention to detail. Familiarity with cloud data solutions (e.g., AWS, Azure) is a plus. Excellent communication skills for collaborating with cross-functional teams and stakeholders. A self-starter with the ability to work independently as well as part of a team. Knowledge of data governance and data security practices. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team The DRW C/FICCO Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval. About the Role In this role you will: Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities. Take full ownership of data products, guiding them from initial concept through to stable production. Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability. Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems. Provide on-call support as needed. Qualifications: A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

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 . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance 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: $216,700 — $303,400 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: Remote - Ontario, Canada 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 . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance 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 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: Remote - Worldwide Whippy is leading the way in AI-powered business communication, transforming how companies engage with customers using intelligent AI Agents. From customer support to marketing to sales, businesses rely on Whippy’s Voice AI and Chat AI to eliminate manual workflows—responding to inquiries, nurturing leads, screening job applicants, and automating high-value interactions at scale. By combining AI-driven messaging with omni-channel automation, Whippy replaces outdated tools with a single, powerful platform that helps businesses work smarter, faster, and more efficiently. ABOUT THE ROLE As an Engineering Manager at Whippy, you will: Start by spending at least one-third of your time coding and building new product. Over time, you will work with the CTO to manage and scale our engineering team and best practices. Somethings you should have experience doing are. - Working and communicating with a team in a remote environment. - Conduct regular 1-1s and help unblock engineers as needed. - Help to manage a hiring pipeline and conduct technical interviews. - Conduct code reviews and aid engineers in releasing new features quickly and reliably. ABOUT YOU 1+ years of experience as an engineering manager at a start-up in a remote engineering team environment. A desire to be a part of the entire project development process. From research gathering and planning to implementation and monitoring. Great written and verbal communication skills for expressing ideas, designs, and potential solutions in a mostly asynchronous manner. WHAT DO WE OFFER? Compensation is $80K-$100K/year based on experience Opportunity to take on significant responsibility and ownership in a highly disruptive product. Working hands-on with serial entrepreneurs who have created $100M+ valued companies WHAT TO KNOW? To provide transparency, here are some important points to note about the position: - We are a startup, and our team dynamics differ from those of companies in different sizes and stages. Our team is distributed across the globe, and this distributed nature will continue to grow. This means that there is always something happening, so effective time management in a remote and asynchronous engineering environment is essential. - While English is the second language for many engineers on the team, fluency in written English is a requirement. While fluency in spoken English is also a plus, if you are not confident in your written English ability, please do not apply. - We hire globally regardless of timezone, but we have team meetings on Mondays and Fridays at 2:30 pm GMT. If you are unable to be online during these hours, please do not apply. - Pay is determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, and the abilities of the candidate. WHAT’S THE PROCESS? Here's the entire process if selected after a CV screen. 1. Submit your Resume or CV 2. Video call to talk about your experience and the role. 3. Meet the team and review work. 4. Full Time Position Offer extended.

Location: Dnipro, Ukraine; Belgrade, Serbia; Poland; Lublin, Poland; Krakow, Poland; Bratislava, Slovakia; Ljubljana, Slovenia; Vilnius, Lithuania; Chișinău, Moldova, Republic of; Sofia, Bulgaria; Bucuresti, Romania; Budapest, Hungary; Erevan, Armenia; Kyiv, Ukraine; Lviv, Ukraine; Podgorica, Montenegro; Poznan, Poland; Skopje, North Macedonia; Tallinn, Estonia; Zagreb, Croatia; Batumi, Georgia; Tbilisi, Georgia; Città Vittoriosa, Malta; Odesa, Ukraine; Pilsen, Czechia; Sarajevo, Bosnia and Herzegovina Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a DevOps Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities Lead and execute the migration of CI/CD pipelines from Jenkins to GitHub Actions. Work with shared repositories containing Groovy and Bash-based shared libraries, Jenkinsfiles, and workflows. Configure and manage Jenkins shared libraries, credentials, pipelines, and automation scripts. Implement GitHub Actions workflows with shared repositories for multiple repositories and jobs. Manage GitHub Actions runners, secrets, and secure authentication between GitHub and runners. Configure AWS IAM roles for EC2, IRSA for EKS, STS, and SSH access. Collaborate with development teams to improve pipeline efficiency, security, and reliability. Troubleshoot CI/CD issues and optimize build and deployment processes Requirements Essential Skills & Experience: 4+ years of experience as DevOps. Proven experience with Jenkins (shared libraries, Groovy, Bash, Jenkins credentials, Jenkinsfiles). Strong hands-on expertise with GitHub Actions (shared workflows, runners, secrets, and authentication). Experience with AWS IAM roles, IRSA for EKS, STS, and SSH configuration. Strong scripting skills in Python, Bash and Groovy. Python and Ansible hands on experience Experience with large-scale CI/CD migration projects. Ability to work in complex, high-effort projects under tight deadlines. Nice to Have: Experience with Terraform (not required for this role but a plus). Familiarity with container orchestration (Kubernetes, EKS).

Location: Bulgaria; Croatia; Czechia; Greece; Hungary; Latvia; Lithuania; Poland; Romania; Ukraine Why Cast AI? Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically. Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently. Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ. What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between. About the role We are seeking a dynamic and innovative Senior Data Scientist to join our forward-thinking team. In this pivotal role, you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with top-tier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization, ensuring data-driven decision-making and innovative solutions. Requirements: Experience : 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects. Modelling Expertise : Experience in training tabular and time-series models using classical machine learning and deep learning approaches. Technical Skills : Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools. Database Knowledge : Advanced SQL skills, including the ability to debug complex queries and a solid understanding of OLTP vs. OLAP systems (experience with OLAP systems is a plus). Problem-Solving : Exceptional analytical skills with a detail-oriented and innovative approach to challenges. Communication : Strong verbal and written communication skills to collaborate effectively within a team. Bonus points Cloud & Containers : Experience with cloud platforms (AWS, GCP, Azure) and container tools like Kubernetes. ML Pipelines : Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring. MLOps Tools : Familiarity with MLOps tools like MLflow or Feast. OLAP Expertise : Hands-on experience with large-scale OLAP systems such as Clickhouse, BigQuery, or Snowflake. Advanced Modeling : Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges. Responsibilities: Run Data Science Experiments : Design, execute, and evaluate experiments to refine models and improve outcomes. Develop Machine Learning Models : Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data Analyze Data : Perform deep-dive data analysis and deliver actionable insights to shape our business strategies. Collaborate : Work closely with cross-functional teams to align data science projects with company goals. Stay Current : Keep up with the latest advancements in data science, cloud technologies, and DevOps. Master Databases : Write, debug, and optimize complex SQL queries while effectively navigating OLAP and OLTP systems. What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Enjoy a flexible, remote-first global environment. Equity options. Private health insurance. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. #LI-Remote #LI-Remote

Location: Città Vittoriosa, Malta; Għaxaq, Malta Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Account Executive to join one of our clients ' teams in Malta. Looking for a great opportunity to grow your career? This might be perfect for you! Note: Candidates from European countries are welcome, and we are open to relocation support . Are you a tech-savvy sales professional ready to drive new business growth and shape the future of specialised cloud solutions ? Do you excel at building strong client relationships that lead to new opportunities? If you're passionate about making an impact in a fast- growing, innovation-driven company, we want to meet you. What you'll be doing: • Spearhead the identification, targeting, and acquisition of new clients, establishing initial relationships with key decision-makers. • Develop and execute aggressive lead generation strategies to infiltrate target accounts and create a robust pipeline of new sales opportunities. • Guide prospects through the sales process from initial lead generation to successful closure, with a strong focus on new logo acquisition. • Articulate the value of our AWS cloud solutions and advanced technologies to potential clients, demonstrating their impact on business transformation and challenging the status quo. • Collaborate closely with the Solutions Architect to provide tailored solutions that align with clients’ business requirements and drive opportunities to closure through effective pre-sales coordination, follow-ups, and successful negotiations. • Maintain accurate sales forecasts and detailed client information within our CRM system, providing regular reports to management on pipeline status and new business metrics. • Leverage client feedback to improve internal processes and services, strengthening the overall perception of the company’s offerings. • Maintain a comprehensive understanding of market trends and competitor activity within the cloud services landscape. What you bring to the table: • Proven experience in a senior sales role, with demonstrated success in lead generation and new business acquisition , ideally within the software or cloud technology industry. • Excellent communication, negotiation, and relationship-building skills. • Highly organized, self-motivated, and able to manage multiple opportunities simultaneously. • A solution-oriented mindset with a passion for delivering quantifiable results and achieving sales targets. • Familiarity with CRM software and sales reporting. What we offer: • The chance to make a real impact on the company's growth and success through direct new business wins. • The opportunity to be part of a groundbreaking company shaping the future of cloud technology, particularly within the iGaming industry and beyond. • Work alongside passionate tech minds who are eager to innovate and support one another. • A commitment to your professional development, with access to sponsored courses and opportunities for continuous learning and growth within the company.

Location: Dublin, Ireland Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll own your outcomes, from the strategies you run to the conversations that shape what we build next. As a Senior Customer Success Manager at Wrike, you will own, protect, and exponentially grow the strategic relationship for a high-value portfolio of Enterprise accounts across EMEA. Wrike has evolved beyond standard project management into a trusted work delivery platform for people and AI, and in this role, you will be the chief architect of that vision for our most strategic clients. In this role, you are a strategic business consultant and a trusted advisor. You will guide client executives through complex business transformations, leveraging cutting-edge Wrike AI Agents, Wrike Copilot, and visual collaboration tools to map, optimize, and scale business workflows. You will partner deeply with Sales, Renewals, and Product counterparts to deliver on the transformational vision and establish Wrike as the clients' long-term operating system of record. Your Impact: Strategic Portfolio Ownership: Proactively manage a highly diverse and complex book of EMEA (mainly UK) Enterprise accounts, serving as their strategic partner, executive liaison, and primary advocate. Build Stakeholder Relationships: Establish a multi-layered relationship structure - including Centers of Excellence - connecting with administrators, day-to-day champions, and executive-level sponsors (VPs, C-suite). Co-Create Success Plans & Workflows: Build scalable and highly digestible Success Plans that capture the client's transformational vision and a measurable roadmap to build it out. Play Offense: Actively hunt for expansion paths within your portfolio. You will not wait for renewals to talk about growth; instead, you will proactively identify new teams to land, pitch advanced AI use cases, and systematically build a high-velocity expansion pipeline in lockstep with Sales. Commercial Growth & Retention: Meet individual Gross Revenue Retention (GRR) and Net Revenue Retention (NRR) targets by proactively identifying expansion opportunities, mapping customer growth plans, and mitigating churn risks early. Operational Excellence: You will continuously iterate on processes, develop new workflow playbooks, and share documented learnings across the broader organization. Your Qualifications: Proven GTM Track Record: 5+ years of experience in Customer Success, Account Management, or Business Consulting roles within the SaaS space, with a verified track record of managing $1M+ ARR accounts. Change Management & COE Mastery: Proven expertise in guiding large-scale organizations through complex software rollouts and operational transformations by mapping and navigating stakeholder management and building internal Centers of Excellence (COEs). Executive Presence & Storytelling: Highly polished communication skills with a proven capability to establish radical trust, navigate political dynamics, and present quantified business value/ROI to C-suite and VP-level technology leaders. Commercial Acumen & C-Suite Framing: A proven history of partnering with Sales to build joint account plans, identify upsell opportunities, and guide customers through complex buying cycles. You possess a deep understanding of enterprise procurement processes and are highly skilled at framing the business and operational value of a product to C-level audiences, translating technical features into hard cost savings, risk mitigation, and operational efficiency. Workflow Consulting Expertise: Ability to run structured, outcome-led Workflow Discoveries and reverse demos to map customer business processes directly into Wrike and identify adjacent opportunities. Technical & Integration Literacy: Strong comfort with tech ecosystems; ability to discuss complex system integrations, data analytics, and address technical hurdles (such as API webhooks or integration recipes) in lockstep with supporting teams. AI-Enabled Capability: Strong literacy and hands-on experience embedding practical Generative AI tools into daily operations. Standout Qualities: Vertical Specialization: You have deep domain expertise in one or more core industry verticals (e.g., Marketing, Creative Agencies, PMOs) and can build reusable workflow playbooks for the team. Certified Change Management Coach: You have experience guiding organizations through large-scale software rollouts and operational change management. Certified Project Manager: You hold a recognized industry certification (e.g. PMP, PRINCE2, or Agile/Scrum) and possess a formal understanding of project management methodologies to easily translate complex client workflows into structured, high-performing configurations. Peer Mentor: You naturally seek opportunities to mentor junior team members, share best practices, and contribute to the collective enablement of the Customer Success organization. Team Dynamics: You will join a high-performing, collaborative EMEA Customer Success team that values transparency, continuous learning, and collective growth. We work cross-functionally, sharing insights across Sales, Product, Renewals, and Support to ensure our customers have a unified experience. As a senior member of this team, you will play a key role in running internal enablement sessions and shaping best practices. Our Work Style: At Wrike, we believe in proactive ownership, data-driven decisions, and a growth mindset. We leverage Wrike every day to manage our own work, collaborate seamlessly across time zones, and maintain operational transparency. We embrace change, continuously seek feedback, and empower our team members to work smart, innovate, and bring their authentic selves to work every day. Benefits & Perks: 25 calendar days of paid vacation Parental Leave: 26 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Bike-to-Work Scheme Health Insurance (Employees + Dependents) Life Insurance Income Protection Pension Scheme Your recruitment buddy will be Aziza Talhi , Senior Recruiter. #LI-AT1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Forward Deployed Engineer on Notion’s Services team, you will lead the hands on technical delivery of our most complex customer engagements. You will design, build, and deploy production ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines and resolving complex challenges around scale, permissions, and governance. You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This is a customer-facing engineering role for someone who is comfortable writing code, debugging technical issues, explaining tradeoffs to stakeholders, and turning ambiguous customer problems into scalable technical solutions. Your work will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale. WHAT YOU'LL ACHIEVE - Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation. - Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion. - Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows. - Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization. - Work directly with customer engineering, IT, security and business stakeholders to gather technical requirements, identify constraints, evaluate feasibility, and make sound architectural decisions that maximizes the value of Notion within their broader technical ecosystem. - Troubleshoot complex implementation issues across APIs, integrations, automation logic, data quality, permissions, authentication, system limits, and customer specific environments. - Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers. - Build reusable technical assets, including migration tooling, integration patterns, reference implementations, discovery frameworks, technical standards, scripts, and internal delivery tooling. - Help define how Services delivers complex technical implementations at scale by improving methodologies, scoping artifacts, build patterns, technical documentation and engineering best practices. SKILLS YOU'LL NEED TO BRING - 5+ years of experience in customer-facing or forward deployed engineering role or a similar hands-on technical role. - Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts. - Hands-on experience with APIs and data integration. - Ability to lead technical discovery with customers, assess feasibility, identify risks, scope technical work, estimate effort, and translate ambiguous requirements into an executable plan. - Strong debugging and problem-solving skills, with the ability to isolate root causes across code, APIs, permissions, integrations and customer specific configuration. - Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively. - A track record of delivering customer value by translating technical challenges into solutions that drive outcomes for customers at scale. NICE TO HAVES - Experience working in professional services, preferably in a startup or high-growth environment. - Experience deploying AI agents autonomously in complex coding or business workflows. - Experience designing or implementing AI-powered workflows, including work with MCPs, APIs, LLM applications, prompt engineering, retrieval/RAG systems or workflow orchestration. - Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up. - Experience with ETL/ELT workflows, data transformation, schema mapping, validation scripts, or large-scale content migration tooling. - Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions. - Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches. - Strong track record of successful enterprise customer implementations. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $175,000 - $240,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite  A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: South Africa We seek a proactive, full-time Remote Sales Development Representative (SDR) to generate and qualify sales opportunities for our U.S.-based clients. In this role you will focus on high-volume, multi-channel outreach (calls, email, social media, etc.) to identify potential customers, book meetings for Account Executives, and drive pipeline growth. The ideal candidate has proven SDR/BDR experience in the U.S. market , exceptional communication skills, and the self-motivation needed for a fully remote role. You will work U.S. business hours (covering East and/or West Coast time zones) and collaborate closely with marketing and sales teams. Responsibilities Outbound Prospecting: Conduct high-volume outreach to qualified leads across multiple channels (e.g. phone, email, SMS, LinkedIn). You will execute coordinated email, phone, and social media sequences to generate interest. Lead Qualification: Engage prospects to discover business needs and qualify leads using criteria like BANT (Budget, Authority, Need, Timing). Schedule and document qualified meetings for Account Executives. CRM & Data Management: Meticulously track all activities in the CRM. Record call notes, emails, and next steps so leads flow smoothly through the sales pipeline. Collaboration: Work hand-in-hand with sales and marketing teams. Share field feedback on messaging, refine target lists, and support campaigns. Attend team meetings to align on goals and strategy. Metrics & Targets: Consistently hit or exceed activity and pipeline targets. U.S. companies expect SDRs to meet high activity quotas (calls, emails, demos). In fact, successful SDRs often have a “proven ability to meet or exceed activity-based goals (cold calls, messages, meetings)" Event & Campaign Support (as needed): Occasionally represent the company at U.S. trade shows or virtual events to capture leads and network. Follow up promptly on any inbound leads or event contacts to drive them into the pipeline. Requirements Requirements & Skills Proven SDR/BDR Experience: 2+ years in an SDR, Business Development, or inside sales role targeting the U.S. market . You should have a track record of generating and qualifying leads and booking meetings with U.S. customers or prospects. U.S. Market Knowledge: Experience engaging U.S.-based businesses and decision-makers is essential. You understand U.S. business culture and time zones, and can tailor your outreach accordingly (East Coast or West Coast hours). Communication Skills: Exceptional verbal and written communication skills. You’re confident on the phone and quick to craft concise, compelling emails and LinkedIn messages. Successful SDRs “have strong verbal and written communication skills, including cold-calling confidence". Organization & Self-Motivation: This is a self-driven, remote role. You must be highly organized, manage multiple outreach cadences, and follow up persistently. Employers look for “excellent organizational skills” and a self-starter mindset. Strong time management (e.g. planning daily call schedules) is crucial in a high-activity environment. Tech Proficiency: Comfortable with CRM and sales engagement tools. Candidates should have used systems like Salesforce, HubSpot, or similar to track leads. Experience with LinkedIn Sales Navigator, email sequencing tools, or dialers is a plus. Results-Oriented: You thrive in a quota-driven role. U.S. companies expect SDRs to meet activity and pipeline goals . You have a history of achieving or surpassing targets (calls made, meetings booked, pipeline created) Team Player: Although remote, you collaborate closely with marketing and sales peers. You share insights on messaging, participate in team strategy sessions, and align with Account Executives on follow-up actions. Education: Bachelor’s degree or equivalent experience preferred; not strictly required if you have strong relevant sales results. Additional Qualities: Persistence and resilience in the face of rejection, a coachable attitude, and a passion for learning. Many SDRs come from diverse backgrounds, but demonstrate a “strong desire to learn and grow within a fast-paced sales organization". Relevant Skills: Employers emphasize excellent communication , organization , persistence , and self-motivation for remote SDRs. Proven ability to use CRM tools and adapt to new sales technology is also highly valued. Benefits We offer a fully remote, US-focused sales role with a competitive compensation package (base + commission). You’ll work closely with a supportive team and have the freedom to manage your own schedule within U.S. time zones. If you are a goal-oriented sales professional who thrives on generating results for American clients, we want to hear from you!