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Prime Intellect is looking for an Applied Researcher to build continual learning systems for agent updates and long-term adaptation.

Location: United States JOB DESCRIPTION Job Title Senior Associate, Product Information/Claims Support (MA) Department Medical Affairs/Medical Affairs Responsibilities Primary Responsibilities: ·       Identify, plan and implement key projects to improve quality, reduce cost, increase productivity and improve cycle time resulting in significant business improvement and customer satisfaction. ·       Responsible for targeting completion of process improvement projects within a specified time frame while achieving a cost reduction goal. ·       Develop and co-ordinate the performance excellence / performance improvement vision and deployment planning as defined by the Executive Team. ·       Achieve buy-in from all decision makers for the successful application of performance excellence / performance improvement. Create team processes for optimizing results. ·       Actively lead projects and provide individual contributions after key projects have been identified. ·       Liaison with finance and other members of the organization in assessing, tracking and reporting the financial benefit of a Performance Excellence project. ·       Provide management with project status updates, feedback, and appropriate reporting on key responsibilities and objectives. ·       Development and Maintenance of Client Core Data Sheet CCDS, Core Safety Information (CSI) and high-quality scientific proof. ·       Perform compliancee checks, and Compilation and formatting of Dossiers ·       Review of source documents, GAP Analysis and providing regulatory contribution Prepare and Review SOP’s for writing Global Labelling documents ·       Provide therapeutic area (e.g. Pain, Digestive Health, Smoking Cessation or UR/Allergy) knowledge support and clarification of science as needed and contributes to research activities via scientific publications. ·       Conduct and evaluate literature searches and analyze scientific literature. ·       Create standard language for product information reference manuals including FAQs for new product launches, media issues, and publications. ·       Provide medical support in reviewing the printed packaging components, labeling, and compendia. ·       Collaborate with physicians as the medical representative on cross functional teams (copy clearance committees) to both marketed products and support to new marketed concepts for promotional and non-promotional pieces to ensure medical/scientific accuracy. ·       Participate in creation of medical training materials and programs that are used to support initial and ongoing training for new employees. ·       Train employees who require in-depth scientific/medical knowledge of relevant products/therapeutic areas and in support of local and regional speakers upon solicited request. ·       Create and develops strategically targeted information in response to published scientific literature, news media releases, marketing initiatives, product recalls, or new or highly publicized medical discoveries or information. ·       Contribute to research activities via scientific publications ·       Attend key medical/pharmacy professional meetings to gain knowledge related to therapeutic areas in relevant markets ·       Research educational and technical materials in support of local and regional speakers upon solicited request ·       Assist in generating basic periodic or aggregate safety reports, regulatory submissions, PSURs, annual reports, CCDS. ·       Support Investigator initiated studies including correspondence with investigators, researching the investigator site and facilitating review and approval of IIS proposals Secondary Responsibilities: ·       Effectively organize work to complete the assigned tasks to meet deadlines ·       Ensure the assigned tasks are delivered 100% on time or before ·       Demonstrate Quality of Work & Commitment through excellence in work, ensure correctness and completeness in deliverables with minimum OR no re-work ·       Support in review of work done by peer teammates, on need basis. ·       Alerts and escalates to senior members as required, whenever project deliverable risks are visualized, OR issues encountered impacting the delivery schedule ·       Ensure error free and acceptable quality in assigned deliverables ·       Responsible to ensure training compliancee and timesheet compliancee ·       Ensure that all assigned goals [e.g. utilization, quality and timeliness] are met as per set standards for the performance year ·       Follow and comply with the Company’s Code of Conduct, Policies, and Procedures, ·       Responsible for confidentiality, integrity, availability, and safeguarding of data, ·       Responsible for reporting of security incidents and PIMS breaches as applicable, ·       Comply with company QMS, ISMS and PIMS requirements and applicable regulatory requirements, ·       Demonstrate adherence and compliancee to PIMS/GDPR requirements as follows: processed fairly, transparently, and lawfully; collected for specified and legitimate purposes; adequate, relevant, and limited to the specified purposes; processed in a secure manner Skills and Qualifications ·       Bachelor’s degree in science or above and in alignment with project / business team requirements ·       Minimum of 3 to 5 years of relevant experience in identified functional domain/ business workstream ·       Minimum 4‐ 5 years in a pharmaceutical or consumer health care organization chemical raw material manufacturer or another FDA‐ regulated environment such as a medical device manufacturer. ·       Background in labeling / artwork management, in the personal products Must be detail-oriented to pick up inconsistencies or errors in material

Location: California Workplace: onsite Overview We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models. This is hands-on, execution-focused work. You’ll be supporting a robotics data collection pilot using I2RT YAM bimanual robotic arms. Each station is staffed by two people, and you’ll carry out assigned teleoperation and human-robot interaction tasks to help capture reliable, consistent data.  Project Details Location: Palo Alto, CA — 100% onsite Type: Full-time, short-term W-2 employee Schedule: Full-time; 8 hours/day, 5 days/week. Must be able to stand for extended periods during shifts  Duration: Minimum 2-week engagement; potential extension through year-end and beyond (extension not guaranteed)  Start: ASAP Compensation: US$35/hour Work authorization: Must be authorized to work onsite in the U.S. Key responsibilities Operate physical AI data devices, including teleoperating bimanual robotic arms (I2RT YAM) to execute scripted tasks precisely, following SOPs. Perform human robot interaction tasks per script, including gestures and object handovers. Follow detailed instructions and documented SOPs, adapt to evolving guidelines, and complete hands-on training, applying it consistently. Coordinate closely with your station partner to maintain timing, consistency, and safety. Capture and validate data. Record trial status, notes, and anomalies as directed; promptly flag issues and assist with resets/retries. Adhere to onsite safety, privacy, and data handling protocols; provide constructive feedback to improve procedures. Support fast iteration cycles as tasks, tools, and priorities evolve. Qualifications Bachelor’s degree or equivalent work experience Experience with gaming, simulation tools, or technical systems is a plus Strong hand-eye coordination and spatial awareness Detail oriented, reliable, and consistent in repetitive, process-driven work. Clear communication and teamwork; receptive to coaching and feedback. Prior teleoperation/robotics or lab data collection experience preferred; training provided. Basic computer skills for simple logging and spreadsheets. Preferred Qualifications Exposure to robotics, autonomous systems, drones, or simulation environments Experience with teleoperation, remote control systems, or QA/testing workflows Familiarity with data collection, logging, or annotation processes Ability to quickly learn new software applications Interest in AI, robotics, or emerging technologies Experience working in structured, metrics-driven environments Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: California Workplace: onsite Overview We’re hiring an onsite lead to run day-to-day execution for our robotics data collection pilot, built around I2RT YAM bimanual robotic arms. You’ll guide a team of data collection operators, keep operations safe and consistent, and act as the main onsite point of contact for client stakeholders. Please note that this role does not own staffing schedules or inventory management.   Project Details Location: Palo Alto, CA — 100% onsite Type: Contract Schedule: Full-time; 8 hours/day, 5 days/week Duration: Minimum 2-week pilot; potential extension through year-end and beyond Start: ASAP Compensation: $50/hour Work authorization: Must be authorized to work onsite in the U.S. Key responsibilities Oversee daily execution and station readiness; enforce SOPs, quality, and safety protocols. Coach operators on teleoperation and HRI execution; provide on-the-spot refreshers and corrective guidance. Monitor live sessions and data quality; perform first-level troubleshooting and escalate issues appropriately. Maintain concise daily notes and issue trackers; communicate blockers, risks, and needs to client teams. Contribute to SOP and checklist refinements based on observations. Utilize client-provided equipment, SOPs, examples, and hands-on training to align the team on best practices. Qualifications Hands-on experience leading robotic teleoperation and/or HRI data collection. Strong communication, coaching, and problem-solving skills in lab/field environments. Comfortable driving consistency, safety, and quality in repetitive workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: Remote: India About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Minimum qualifications: Bachelor's degree or equivalent practical experience. 7 years of experience in a pre-sales engineering, professional services, or customer-facing technical architecture role. Experience in programming languages (e.g., Java, Python, JavaScript), containerization (Docker, Kubernetes), and cloud infrastructure technologies. Experience engaging with, presenting to, and influencing both technical stakeholders and executive leaders (C-level) during complex sales cycles. Experience driving technical discovery and value-based selling to map enterprise business goals to technical architectures. Location: Candidates based in Mumbai or Bangalore will be prioritised. Preferred qualifications: Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field. Deep expertise in graph database technologies (e.g., Neo4j) along with knowledge of relational, NoSQL, and data visualization tools (e.g., D3.js, Linkurious). Proven experience building joint GTM solutions and co-selling with hyperscalers (AWS, Azure, GCP), strategic ISVs, and global systems integrators. Industry expertise within highly regulated sectors such as Banking & Financial Services, Telco, and Government. About the job As a Solutions Engineer, you will be a key driver of Neo4j’s growth by shaping technical solutions that address complex enterprise challenges. You will serve as the technical authority during the pre-sales lifecycle, moving beyond standard product demonstrations to architect robust, value-driven graph database solutions. You will engage deeply with BFSI & Enterprise customers and strategic partners—including hyperscalers like AWS, Azure, and Google Cloud—to design interconnected data ecosystems that prove the tangible ROI of the Neo4j portfolio. In this role, you will blend consultative technical prowess, sales acumen, and ecosystem collaboration to accelerate adoption and secure the technical win. Neo4j is the world leader in graph technology, helping organizations capture real-world context to drive choices for applications like artificial intelligence, fraud detection, and recommendation engines. We deliver enterprise-grade solutions that leverage connection-first data architectures to solve the world's most critical business problems. Turn your technical expertise into impact by helping India’s largest enterprises unlock the value of AI with connected data. Responsibilities Drive the technical win for complex enterprise accounts, leading technical discovery, product demonstrations, and competitive positioning from evaluation through opportunity conversion. Design, build, and deliver proof-of-value (PoV) prototypes, tailored solution architectures, and technical workshops that clearly articulate Neo4j’s unique value proposition. Partner closely with hyperscalers (AWS, Azure, GCP), systems integrators, and ISVs to architect joint solutions, execute co-sell initiatives, and deliver technical enablement programs. Act as a cross-functional technical orchestrator, collaborating with internal sales teams on deal qualification and ensuring a seamless architectural handoff to Professional Services and implementation partners. Champion Neo4j’s technology by contributing to thought leadership, presenting at webinars and industry conferences, and supporting local developer community and marketing events. Travel to customer sites and partner events as required to run technical workshops and advance strategic engagements. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Remote / Hybrid (Los Angeles-based preferred) Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Remote / Hybrid (Los Angeles-based preferred) Annual salary: USD 85,000 - 115,000 per year (Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location.) Type: Full-time Reports to: Senior Game Producer About the Role As an Associate Producer, you will support the end-to-end development of motion-based games — from concept through launch — ensuring projects stay on track, teams stay aligned, and our player experience remains magical, intuitive, and family-friendly. You’ll work closely with design, engineering, art, QA, and external partners to coordinate deliverables, manage schedules, and maintain clear communication across stakeholders. This is an ideal role for someone who loves games, thrives in fast-moving environments, and cares deeply about creating meaningful experiences for kids and families. What You’ll Do Production & Execution Maintain production schedules, and milestone tracking Participate in and help run stand-ups and cross-functional sync meetings Track dependencies, risks, and blockers across teams Ensure builds and deliverables are on time and aligned with scope Prepare milestone reports and stakeholder updates Motion-Based Gameplay Support Coordinate implementation of camera-based motion gameplay systems Support playtesting with kids and families; synthesize feedback into actionable insights Track motion calibration, usability improvements, and accessibility features Ensure experiences are intuitive for a wide age range and skill levels Evaluate milestones, write build notes and help compile stakeholder feedback. Kids & Family Focus Advocate for age-appropriate design and safety considerations Support external brand or IP collaboration workflows when applicable Keep fun, accessibility, and inclusivity at the center of development Cross-Functional Collaboration Act as the communication bridge between creative, technical, and business teams Partner with QA to prioritize and track bug resolution Support publishing needs (build delivery, feature documentation, gameplay capture coordination) Help coordinate external development partners when needed What We’re Looking For Required 3+ years experience in game production or project management Experience working on shipped game titles (mobile, console, or interactive platform) Strong organizational and communication skills Familiarity with Agile/Scrum workflows Experience with tools such as GitHub, Notion, Slack, Asana, or equivalent Passion for kids, family entertainment, and active play Flexibility to collaborate across global time zones, including Asia (particularly Hong Kong), with the understanding that recurring meetings and coordination will be required outside standard U.S. business hours. Bonus Points Experience with motion-based, camera-based, or fitness-style games Experience working with licensed IP or external partners Background in consumer hardware or platform-based products Experience conducting or coordinating playtests with children Who You Are Highly organized and detail-oriented Proactive problem solver Comfortable operating in a fast-growing startup environment Collaborative and low-ego Energized by building products that get kids moving and families playing together Comfortable with ambiguity Able to take initiative in a fast-paced environment Why Join Nex Playground? Build category-defining motion gaming experiences Help shape a growing platform at an exciting stage Work with a passionate team focused on joy, movement, and meaningful play Make a real impact on how families experience games together We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact 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: $300,000 — $320,000 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: North Chicago, United States Our client, a well-established national trade association, is seeking an Executive Director to lead the organization into its next stage of growth. The association serves a diverse B2B membership of manufacturers, distributors, suppliers, and operators through industry events, education, networking, and advocacy. The organization is stable and has an engaged, supportive Board. It is now ready to modernize, expand its membership into adjacent markets, and build a stronger member-centric culture. This is a role for a builder. The right leader will enjoy putting systems and processes in place, growing a lean team, and turning strategy into measurable results. What You Will Lead Growth and Revenue: Own financial performance for an operating budget in the low seven figures. Drive membership recruitment and retention and grow net revenue. Diversify revenue through sponsorships, programs, events, and new member offerings. Transformation: Lead the organization through a period of modernization, including launching a brand refresh and building scalable processes, systems, and member data capabilities. Team Building: Lead and develop a small staff, recruit key new hires, and build a collaborative, high-performing culture. Events and Programs: Serve as executive lead for major annual industry trade shows produced with partner organizations and a contracted show management firm. Also oversee year-round education, awards, and an annual member meeting. Board Partnership: Work with the Board and its committees to implement strategic, generative governance. Report clearly on progress, finances, risks, and opportunities. External Relations and Advocacy: Serve as a visible ambassador for the association and its industry with members, partners, allied associations, media, and government officials. Coordinate legislative and regulatory efforts with counsel and lobbyists. Operations: Oversee finance, compliance, HR, technology, and administration. This includes budget development with the Finance Committee, internal controls, and the annual audit. Requirements Required: A bachelor’s degree or equivalent experience. A CAE or other association-related certification is a plus. 10+ years of senior leadership experience in a trade association or nonprofit. Small-staff associations ($5M+) with a diverse mix of member types are ideal. A proven track record of growing membership and net revenue. Experience leading an organization through major structural or strategic change. A history of revenue diversification and of building member-centric programs. A strong working understanding of the partnership between a chief staff executive and a volunteer Board. Knowledge of nonprofit finance, budgeting, and legal practices, and comfort negotiating contracts. A data-informed approach to member intelligence, including experience with association management or CRM platforms. Excellent written and verbal communication, including public speaking and media relations. A relationship-centric, hands-on leadership style with demonstrated strength in team building and change management. Willingness to travel approximately 15 to 20% of the time, including multi-day industry events. Preferred: Direct experience producing or managing a trade show or large industry event, including exhibitor sales, sponsorships, and contractor management. Experience managing events or programs in partnership with other organizations. Legislative or regulatory advocacy experience at the state or federal level. Background in the entertainment, hospitality, leisure, or consumer products sectors. Benefits Base salary of $120,000 to $150,000, depending on experience. An annual performance bonus program. Health and retirement plans. Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. Reasonable Accommodations: Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information: For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location. Compliance with Laws: Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. 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Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Los Angeles, United States; Warsaw, Poland; Tbilisi, Georgia; Batumi, Georgia; Buenos Aires, Argentina; Tallinn, Estonia Think You Can Make AI Notice Us? Prove It. At LBC Mortgage, we’re looking for a curious, ambitious, and unconventional thinker who is ready to experiment, challenge assumptions, test new ideas, and help make our brand visible across the rapidly evolving world of AI platforms. The way people discover businesses is changing. More and more people are turning to AI assistants like ChatGPT, Gemini, and Perplexity to ask questions, compare services, and decide which companies deserve their attention. We want LBC Mortgage to be part of those conversations. Not just on Google. Not just on social media. We want our brand to be discoverable, recognizable, and accurately represented wherever people search for answers, recommendations, and solutions. Your mission is simple: help make LBC Mortgage impossible to overlook. We’re not looking for someone who needs ten years of experience, a complicated strategy document, or permission to try every new idea. We’re looking for someone who is genuinely interested in how AI works, enjoys exploring new tools, and isn't afraid to test an approach that nobody on the team has tried before. You don't need to know everything on day one. You need to be willing to learn, think independently, take initiative, and turn ideas into action. This is not about taking reckless risks or doing things without a plan. It’s about having the confidence to experiment intelligently, measure results, and improve continuously instead of assuming that yesterday’s methods will always work tomorrow. You will help establish and maintain our presence across relevant business directories, search engines, review websites, social platforms, online communities, and emerging AI-driven discovery channels. You’ll work on making sure our business information is accurate and consistent, our profiles are complete, and our content clearly communicates who we are and what we do. You’ll also explore how brands are mentioned in AI-generated answers, identify opportunities to strengthen our online presence, and investigate what helps AI systems discover and understand reliable information about businesses. From improving business listings to researching customer questions, contributing appropriately to relevant communities, and testing new content strategies, your work will help us understand how to become more visible in a world increasingly shaped by AI. You should be comfortable following a strategy while also recognizing opportunities to improve it. If you notice something that could work better, speak up. If you discover a promising platform, explore it. If you have an idea worth testing, explain your reasoning and help us evaluate the results. We value people who combine initiative with accountability and creativity with attention to detail. Most importantly, we want someone who sees this role as an opportunity rather than a checklist. Someone who wants to help shape how a brand competes in a changing digital landscape. Someone who understands that there may not always be a ready-made answer and is willing to find one. We’re not promising that every experiment will succeed. We’re offering the opportunity to explore, test, learn, and contribute to something that is evolving in real time. You’ll have a clear objective, the freedom to investigate different approaches, and the responsibility to turn what you learn into meaningful progress. Don’t just tell us you’re different. Show us how you think, what you’re curious about, and what you would try first. Ready to make AI notice us? Apply.

Location: Amsterdam, Netherlands We are looking for an experienced Economy & Balancing Game Designer who can design, model, and tune the economies, progression, and reward systems of casual HTML5 games played by millions of people worldwide. As part of one of our multidisciplinary game development teams, you will design, model, balance, test, and iterate game economies from early concept through live operations. You understand that a great casual game economy is not just “generous” or “tight”: it paces progression, makes every reward feel earned, gives every purchase a clear purpose, and stays healthy for years. About CoolGames At CoolGames, we’re proud to be a leading international HTML5 game studio, working with some of the world’s biggest ‘Big Tech’ game platforms, such as Netflix, Discord, Facebook and Microsoft Play. We also work with famous games IP such as Battleship, Angry Birds and Monopoly. CoolGames is part of Keesing, the world’s largest Braintainment company. Keesing is a financially strong publisher of engaging sudokus, crosswords and many other puzzles & games with a presence in over 20 countries headquartered in The Netherlands. With the CoolGames HQ in Amsterdam, supported by our global remote teams, we offer market-competitive salaries, the chance to contribute to successful casual games that are played by millions and work directly with some of the biggest brands in the world. We believe in creativity, collaboration and delivering world-class gaming experiences, while giving you the choice to either join our Amsterdam studio or become part of our remote teams. If you want to grow your career in a profitable, internationally recognized company, work closely with world-famous partners and be part of a highly professional international team, CoolGames is the right place for you. About the role As an Economy & Balancing Game Designer at CoolGames, you take ownership of the economies inside our casual games: the sources, sinks, progression, and reward systems that decide how players earn, spend, and advance. You will design systems that are fun, fair, understandable, and commercially effective. And you own the outcome: not just the analysis behind the numbers, but the retention and revenue they produce. You will be part of a multidisciplinary agile team. Together, you will work on new titles, improve existing live games, and help shape the models, tools, and processes that make good economy design scalable across our portfolio. Because our games run on a range of platforms with different monetization models, you know how to make an economy work whether it is driven by in-app purchases, ads, or a subscription platform. On new games you are involved from the very first design sessions, so that the economy, its sinks, and its progression are designed in from the start rather than balanced after the game has been built. On live games you take the economy apart per title, in enough depth to say what a change will do before it ships, and you model and simulate that change rather than shipping it and reading the result afterwards. You are comfortable working both creatively and analytically. You can feel when a progression curve or a reward loop is right, but you also know how to validate that instinct through models, simulations, A/B tests, and player data. About You You are proactive and thrive on taking ownership and responsibility. You care deeply about how players feel when they play, and you know that a healthy economy and a great player experience are the same goal, not a trade-off. You know how to design systems that motivate without manipulating, monetize without frustrating, and reward without devaluing progress. If you are: An experienced Economy, Systems or Balancing Game Designer Ready to work on long-lasting casual titles, and to move between them when needed A strong believer in teamwork Are not afraid of innovation and learning new tools on the go Then you are on the right track to be a great match with Coolgames. Responsibilities Design and balance the economy, progression, and reward systems of our casual games, from the first design sessions of a new title through live operations Own the revenue outcome of the economies you design Build and maintain the economy models, balancing sheets, and simulations for each title, in enough depth to say what a change will do before it ships. Use player data and A/B tests to find friction points, progression bottlenecks, and monetization opportunities, and to show, with data, where balancing proposals from game and level designers will take retention and revenue. Design motivation loops and a cohesive ecosystem of LiveOps events that work together rather than compete for player attention Communicate design rationale, trade-offs, and recommendations clearly to the team and the studio, and take ownership of a title’s economy when moving between projects. Research how comparable games in our genres structure, pace, and price their economies, and keep that as the reference we balance and price against. Requirements Requirements 5+ years designing, balancing, and operating the economies of successful, released free-to-play games on mobile and/or HTML5, including casual or puzzle titles. Comfortable being accountable for a title’s KPIs: you make and defend decisions Advanced spreadsheet and modeling skills: balancing, simulation, and forecasting models, and fluent use of AI tools to build and analyze them faster. Strong analytical mindset: you design and evaluate data, translating it into concrete design changes. Deep understanding of player motivation, retention mechanics, LiveOps, and monetization design, and the empathy to feel what our casual audience will and won’t accept. Independent and proactive, quick to get up to speed on a new game and its audience, with excellent English and experience working in remote, multidisciplinary teams. A habit of benchmarking: you know the economies of the leading games in our genres well enough to say where ours sits against them. Benefits What we can offer you An international team of 80+ professionals from almost 20 different countries; Work closely with some of the biggest upcoming game platforms in the world on high-quality casual games that are played by millions of players; Competitive remuneration; A flexible remote working environment; A very open, informal, and international company culture where everyone can make a difference. Apply Do you love building game economies that players find fair, motivating, and worth investing in, and that stay healthy for years? Then we would love to hear from you. Please include your CV and, where possible, a portfolio, economy models or balancing sheets, shipped games, design documents, or examples that show how you think about progression, monetization, and player experience.

Location: Marousi, Greece We are seeking a senior litigator from a leading Greek law firm or an in-house legal function, with 8+ years' post-qualification experience and strong expertise in public procurement litigation. The ideal candidate combines courtroom experience with a preventive, commercially minded approach, and can protect the group's interests in competitive tender processes while keeping disputes to a minimum. You will join a dynamic, fast-growing GovTech business that bids for and delivers contracts for EU institutions and national public authorities across Europe. Key Responsibilities Act as the group's senior authority on dispute resolution, setting strategy and overseeing any litigation, arbitration or administrative proceedings involving ED's entities across jurisdictions. Protect ED's position in public tenders: assess procurement decisions and, where appropriate, pursue or defend challenges before national review bodies, the Greek administrative courts and Council of State, and the EU General Court. Advise senior management and bid teams at key tender milestones (evaluation, award, standstill) so decisions to challenge, intervene or defend are well founded and proportionate. Prevent disputes by strengthening tender submissions, contract terms, and consortium and teaming agreements, drawing on procurement and litigation insight. Resolve contractual issues with clients, subcontractors and consortium partners early, favouring negotiated outcomes that protect long-term relationships. Select and manage external counsel in Greece, Luxembourg, Belgium and other jurisdictions when needed, ensuring strategy alignment and cost control. Provide the CEO and the Board with clear, periodic reporting on legal risk and exposure, and give input to Finance where relevant. Guide and support the in-house disputes team, promoting consistent quality and sound judgement. Advise on contractual risk in EU institutional and public sector framework contracts, and support compliance, governance and M&A due diligence as required. Requirements LLB/LLM and qualification to practise law in Greece (member of the Athens Bar Association or equivalent); rights of audience before the higher courts preferred. 8+ years' experience in litigation and dispute resolution at a recognised Greek law firm or a comparable in-house role, with substantial public procurement litigation experience. Strong knowledge of national procurement review procedures and EU public procurement law, including the EU Directives and the EU Financial Regulation rules for procurement by EU institutions; experience before the EU courts is a strong advantage. Proven ability to assess legal risk proportionately, manage external counsel and budgets, and communicate clearly with senior management and boards. Experience guiding or mentoring other lawyers. Fluent English (written and spoken) is essential; French or other European languages are a strong plus. Sound judgement, independence and the ability to work across multiple jurisdictions. Commercial mindset, with a preference for practical, preventive solutions over adversarial ones. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( CO&LC/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Saudi Arabia Our client is a fast-growing FMCG coffee business with products sold across more than 45 markets worldwide, including a growing footprint in Saudi Arabia. The company is now investing in Saudi Arabia and is building out the team and route-to-market for both its B2C and B2B coffee business in the region. Our client is looking for a senior, well-connected coffee and FMCG sales professional to lead the development of its Saudi Arabian market, with primary focus on B2C and additional support on B2B activity. This is a hands-on, market-building role for someone who can advise the company on how to enter and grow in Saudi Arabia and the wider region – including identifying and securing the right distributors – and who is comfortable operating with a high degree of autonomy in a market where the company does not yet have a local office. Key Responsibilities •        Develop and execute the go-to-market strategy for the company’s B2C coffee business across Saudi Arabia. •        Identify, evaluate and onboard key distributors and channel partners in Saudi Arabia and the wider region. •        Provide hands-on advisory support to the company leadership on market entry, route-to-market and commercial structure for the region. •        Support and contribute to B2B sales activity alongside the core B2C focus. •        Build and manage relationships with retailers, distributors and trade partners across the coffee and broader FMCG landscape. •        Travel periodically to engage with the company’s existing business and sales teams, share market learnings and help guide the development of the Saudi Arabia business. •        Act as a trusted, on-the-ground advisor as the company scales its presence in the region, with the expectation of building and managing a team as the business grows. Requirements •        At least 10 years of experience in the coffee industry and/or broader FMCG sales and marketing, with strong B2C focus. •        Deep, well-established network within the coffee industry in Saudi Arabia – able to advise on key distributors and the right way to enter the market. •        Proven sales and relationship-building track record; able to open doors and close deals. •        Previous experience managing a team is preferred, given this role is expected to grow into a people-management position. •        Comfortable working independently/remotely without a local office infrastructure, while staying connected to a small regional team. •        Fluent English speaker. •        Honest, hard-working, relationship-driven, and willing to travel as needed. •        Local Saudi Arabian candidates strongly preferred but not essential. •  No specific educational background required – industry experience and network matter most.

• Разрабатывать backend и frontend торговой платформы. • Интегрироваться с брокерами и торговыми платформами (Match-Trade, MT4/MT5, cTrader и др.).

Что предстоит делать: Разрабатывать backend и frontend части торговой платформы. Что важно: 5+ лет коммерческой разработки.

-Опыт работы в QA от 5 лет, включая ручное и автоматизированное тестирование, в том числе от 3 лет коммерческого опыта в QA Automation.