Вакансии

Mars в России и Беларуси 10 миллиардных брендов 35 лет успешной работы 6 500+ сотрудников О команде и продукте Мы развиваем цифровые продукты в Экосистеме Mars Petcare и ищем Product Marketing Manager, который возьмёт на себя маркетинговую стратегию одного из наших цифровых продуктов - PetStory .

Location: Remote - Europe Time Zones; Portugal; Serbia; Spain Workplace: Remote SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.  - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS?  - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.  - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. We’re looking for a hands-on Senior Product Manager to own and drive the Core product direction at SplitMetrics Acquire — a B2B SaaS platform for Apple Ads management. This role is for someone who connects product decisions to real business outcomes, moves quickly based on market signals and GTM insights, and takes equal ownership of both delivery and adoption. You’ll work closely with cross-functional teams to ensure we’re not just building fast, but building what truly drives growth and customer value. The team is responsible for driving campaign performance through optimisations, such as AI Bidding, Keyword Expansion Strategies, and automated rules based on external signals. WHAT YOU’LL BE DOING — Product Strategy & Roadmap - Own and drive the quarterly strategy for the core team responsible for the performance optimisation part of the product - Define quarterly OKRs and initiatives in collaboration with your product team and aligned with the broader company strategy and OKRs - Translate signals from clients, Sales, CS, and the market into product priorities — End-to-End Product Development - Lead discovery: client research and data analysis - Define the product vision for each initiative you work on from high-level concept to details - Write clear, structured PRDs for cross-functional teams (Engineering, QA, Design) - Partner with engineers to drive execution: align on scope, unblock dependencies, support delivery — Adoption & Go-To-Market - Partner with Product Marketing on feature positioning and launch communication - Work with CS to drive adoption among enterprise clients - Define product UX copy (tooltips, banners, onboarding) - Track adoption and iterate based on data — Cross-Functional Leadership - Work in tight alignment with GTM teams (Sales, CS, Marketing) - Ensure the product supports Sales in closing and CS in expanding accounts - Represent your area with internal and external stakeholders ABOUT YOU - 3+ years of Product Management experience in B2B SaaS, ideally with enterprise-facing products - Experience in mobile UA, AdTech, or performance marketing is a strong plus — you understand the client’s world - Experience working on ML products is a plus - Strong data fluency: comfortable working with large-scale performance data, experiments, and key metrics - Ability to extract insights and make decisions even with imperfect data or analytics setup - Solid understanding of A/B testing, incrementality, and optimization logic - Proven ability to connect product decisions to business outcomes (revenue, retention, expansion) - Experience writing clear, structured PRDs for cross-functional teams - Strong prioritization skills, balancing data, business context, and stakeholder input - End-to-end ownership mindset — from discovery through delivery to adoption - Comfortable operating in ambiguity and resource-constrained environments - Experience with AI-first software development lifecycle (AI prototyping, spec-driven development, personally delivering internal tools) is a plus - Ability to align Engineering, Sales, CS, and Marketing without direct authority - Strong communication skills (written and verbal) - Fluent English (B2+) WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Location: Hong Kong We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Quality is Hasbro’s top priority. For Quality, we aim to enable high consumer trust and brand confidence by ensuring Hasbro products are safe, compliant and reliable for our consumers. Reporting to the Regulatory & Lab Management team, the QA Engineer will: Support the implementation of product safety, physical/mechanical and labeling requirements across APAC and other applicable markets, including the EU and US Translate regulatory changes into product impact assessments, updated Hasbro specifications, clear stakeholder and vendor guidance, and aligned laboratory testing requirements Act as a key technical partner to Packaging, Product Development, Product Quality, Sourcing, Legal, vendors and third-party laboratories Key Responsibilities: Provide technical guidance on physical/mechanical product safety requirements and applicable toy and consumer product standards; support investigation and resolution of physical/mechanical testing and compliance questions Monitor the regulatory landscape on product safety and labeling requirements across APAC, EU and US, and provide timely updates to internal teams Assess new or revised regulatory requirements for product, labeling, testing and specification impacts; coordinate implementation plans, technical interpretations and effective-date readiness with relevant stakeholders Support Packaging and product teams on regional safety labeling, warnings, age grading and mandatory markings; review or coordinate resolution of label compliance questions before production release Draft, review and revise Hasbro specifications, policies, test requirements and technical guidance in response to regulatory changes Develop or coordinate product-specific and ODM testing protocols with internal teams and approved third-party laboratories Liaise with approved third-party laboratories to align technical interpretations, testing protocols, methods and implementation requirements; resolve differences in laboratory interpretation through documented technical assessment Provide timely, documented technical guidance on regulatory, physical/mechanical, testing and labeling enquiries from internal and external stakeholders Maintain controlled records of regulatory assessments, technical decisions and implementation status Requirements: Bachelor or higher degree in Engineering, Applied Science, Chemistry, Materials Science or a related technical discipline 3 years or more relevant experience in product safety, toy testing, regulatory compliance, quality assurance or an accredited third-party laboratory Good working knowledge of international toy safety regulations and physical/mechanical testing standards (e.g. ASTM F963, EN 71, ISO 8124); knowledge of labeling requirements is an advantage Experience interpreting regulatory or standard changes and converting them into practical product, testing, specification or labeling requirements Experience coordinating with third-party laboratories, product development teams, vendors or manufacturing partners Strong technical writing, analytical, stakeholder management and problem-solving skills; attention to detail and able to work independently Good command of written and spoken English; proficiency in Cantonese and/or Mandarin is an advantage Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is rapidly building the leading ecosystem of generative models, bringing the best models from AI labs around the world to our users alongside our own. We are looking for an IC to source, activate, and scale relationships across Runway's growing portfolio of model partners. This is a role for someone who wants to own whatever needs owning, take new models from first conversation to launch, and write the playbook where none exists yet. You will work closely across Engineering, Product, Legal, Finance, and Marketing. WHAT YOU'LL DO - Own a broad portfolio of model partners end to end, across modalities - Track the model landscape relentlessly: spot new labs and releases early and bring the strongest ones to the team as candidates for integration - Take new partners from zero to launched: source, structure and negotiate commercial terms, then close with Legal and Finance - Be the partner's main point of contact through launch, working closely with our engineering team - Build deep, trusted relationships with founders, BD leads and research teams at our partners, and turn those relationships into early access, better terms and joint launches - Run the portfolio with rigor: set check-in cadences, monitor relationship health, and spot and escalate risk early - Track usage, spend and margin by partner and model, and use that data to decide where to invest, renegotiate or step back - Partner with Marketing and our partners on co-marketing for model launches - Build the frameworks and tools that let the function scale as the ecosystem grows WHAT YOU'LL NEED - 5+ years of experience across some combination of partnerships, business development, GTM, consulting, or founding/operating, with a track record of having owned outcomes end to end - Experience negotiating commercial agreements, ideally usage-based, API or platform deals - Genuine obsession with generative AI: you know the labs, you try new models the day they ship, and you have opinions on what makes one good - Demonstrated range: you've done the deal and the integration and the launch - High technical aptitude for understanding complex technologies, tools, systems, and issues - Strong analytical capabilities, with the ability to turn usage and spend data into a clear recommendation - Ability to manage many relationships and priorities at once in a fast-paced environment without dropping threads - Clear, concise communication, from a startup founder to a big-lab partnerships team to a Runway engineer in the same day - A strong bias towards action and belief that no task is too small for you - Highly resourceful, with the ability to create structure and work autonomously amid ambiguity - New York-based preferred Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Niger Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. LEAP Program Description Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries. The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country. About the Position The National Malaria Control Program (NMCP) is responsible for the national coordination of malaria prevention, case management, and malaria supply chain activities in Niger. In recent years, the national supply chain management system has undergone significant evolution, characterized by: The progressive strengthening of quantification and supply planning mechanisms; The increasing use of logistics data from DHIS2; The progressive strengthening of the Quantification Analytics Tool (QAT) as the national reference tool for supply forecasting and planning; The gradual transition to a national electronic Logistics Management Information System (eLMIS) based on Open mSupply; The progressive development of a district-led last-mile distribution model; The growing need for advanced analysis of logistics data to improve the continuous availability of commodities. In this context, the NMCP seeks to sustainably strengthen its institutional capacities in the areas of: Logistics data analysis; Data validation and triangulation; Supply forecasting and planning; Supply chain performance management; Stockout risk anticipation; Use of digital logistics management tools; Monitoring of warehousing and distribution performance; Pharmaceutical waste management. To support this transition, the NMCP wishes to benefit from technical support through the recruitment of a Technical Expert in Logistics Intelligence, forecasting, and Supply Chain Performance. The goal is to sustainably strengthen national capacities, not to create functional dependency on external expertise. The Advisor will support the NMCP in carrying out life-saving humanitarian assistance (LHA) service delivery in full alignment with the new Presidential Executive Order (EO) directives. Responsibilities General Objective Support the NMCP in strengthening its institutional capacities in logistics intelligence, quantification, data analysis, and supply chain performance management to sustainably improve the availability of malaria commodities. Specific Objectives: The Advisor  shall contribute to: Strengthening the strategic use of logistics data for decision-making. Supporting the institutionalization of QAT as the national reference tool for supply forecasting and planning. Developing mechanisms for validation, triangulation, and quality control of logistics data. Strengthening the NMCP's capacity to develop early warning systems and stockout anticipation mechanisms. Supporting the monitoring of warehousing and distribution performance carried out by National Office of Pharmaceutical Products and Chemicals (ONPPC). Developing supply chain performance dashboards and indicators. Supporting the NMCP in monitoring pharmaceutical waste management. Sustainably strengthening the technical capacities of national teams through skills transfer and process formalization. Nature and Principles of Position The position is structured around: Strengthening institutional capacities; Transferring skills; Developing sustainable tools and mechanisms; Providing analytical and strategic support. The position does not constitute a permanent organic function within the NMCP and is not intended to replace the statutory or hierarchical responsibilities of national staff. The Advisor shall: Not hold any hierarchical authority over NMCP staff; Not replace NMCP human resources; Not exercise the program's sovereign (regalian) functions; Act within a framework of technical support, accompaniment, systems structuring, and skills transfer. The Advisor will work closely with: The NMCP's Supply and Stock Management (GAS) team; The NMCP pharmacist; The NMCP monitoring and evaluation teams; The Directorate of Pharmacy, Medicine, and Traditional Medicine (DPH/MT); ONPPC; Technical and financial partners. Main Responsibilities: Logistics Data Governance and Analytical Intelligence Support the NMCP in analyzing and leveraging logistics data from DHIS2 and eLMIS/Open mSupply as it is progressively deployed, as well as planning tools; Develop cross-validation mechanisms for logistics data; Support the identification and correction of data inconsistencies; Develop Analytical Dashboards and Visualization Tools Strengthen the NMCP's capacity to analyze consumption trends and stockout risks; Develop early warning mechanisms; Support the analysis of district emergency orders; Develop logistics performance indicators. The Advisor shall build on work already carried out regarding: DHIS2 data completeness (and eLMIS data as it is progressively deployed); The identification and correction of inconsistencies; Monthly stockout monitoring; Analysis of district performance in their capacity for regular monthly resupply of health facilities. Quantification and Institutionalization of QAT Support the NMCP in the advanced use of QAT (particularly as new features are rolled out); Contribute to establishing QAT as the national reference tool for supply forecasts and plans; Progressively reduce reliance on parallel Excel files; Develop and formalize Standard Operating Procedures (SOPs) related to QAT use; Support quantification exercises; Strengthen the integration of logistics data into forecasting exercises; Contribute to harmonizing tools used by partners. Contribute to aligning the NMCP with the national vision of an integrated supply forecasting and planning system. Warehousing and Distribution Performance In collaboration with ONPPC and relevant structures, the Advisor shall: Develop performance indicators for the warehousing and distribution of malaria control commodities to ensure their continued compliance; Support the development of dashboards to monitor these performance indicators; Analyze distribution timelines and service levels; Monitor availability and logistics quality indicators; Identify operational bottlenecks; Propose corrective measures; Support the monitoring of good inventory management and storage practices. Logistics Risk Management Develop a supply chain risk register; Identify critical supply-related risks; Support the development of mitigation plans; Develop alert thresholds and escalation mechanisms; Strengthen the NMCP's capacity to anticipate stockouts; Contribute to the development of forward-looking analyses and contingency scenarios. Pharmaceutical Waste Management Support the NMCP in monitoring pharmaceutical waste management; Develop tools for tracking expired or damaged products; Contribute to monitoring activities related to incinerators funded by the Global Fund; Support the documentation and traceability of product destruction activities Develop SOPs and tracking tools related to Unusable Pharmaceutical Products (PPI). Capacity Building and Skills Transfer Provide technical coaching to NMCP teams (GAS and M&E for logistics data); Develop SOPs, guides, and standardized tools; Support the formalization of processes; Organize skills transfer sessions; Contribute to the progressive empowerment of national teams; Document achievements and institutionalized mechanisms. Expected Deliverables Logistics data governance SOPs; QAT usage SOPs; A RACI matrix for the malaria control commodity supply chain; Supply chain performance dashboards; Early warning mechanisms; Data validation and triangulation tools; A supply chain risk register; Pharmaceutical waste management monitoring tools; Plans for evaluating and strengthening GAS competencies within the NMCP; Monthly (bullet) and quarterly (narrative) activity reports. Expected Results Through this support, the NMCP aims to achieve: A sustainable improvement in the quality of logistics data; Improved capacity to anticipate stockouts; The institutionalization of QAT as the sole source for logistics data management; The development of a data-driven management culture; Strengthened monitoring of supply chain performance; Improved visibility of logistics risks; The progressive strengthening of national technical autonomy; A successful transition to a national eLMIS system based on Open mSupply. Supervisory Arrangements The Advisor shall be: Administratively recruited and evaluated by the implementing partner; Technically supervised by the NMCP Coordinator; Functionally integrated into the Supply and Stock Management (GAS) team. Technical priorities and work plans will be jointly validated by the NMCP and the implementing partner. REPORTING : The Advisor will provide a detailed monthly report to the U.S. Department of State submitted by the 5th day of the following month. Additionally, the Advisor will submit a weekly progress report to U.S. Embassy/Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week. Qualifications Advanced university degree in pharmacy, with experience in public health, supply chain management, health logistics, or a related field; A complementary Master's-level degree in supply chain management, health logistics, public health, health systems, or a related field is strongly desired; Specialized training in public health Supply Chain Management is a significant asset; Minimum of 10 years of experience in public health supply chain management; Proven experience in supply quantification and planning; Demonstrated experience using QAT or similar forecasting and supply planning tools; Experience in analyzing and leveraging logistics data; Experience using DHIS2, eLMIS, or other logistics information systems; Proven experience developing analytical tools, dashboards, and performance monitoring mechanisms; Experience collaborating with U.S. Government–funded partners and projects strongly desired; Experience on U.S. Government–funded projects is a major asset; Experience in pharmaceutical waste management desired. Excellent command of logistics management systems; Strong analytical capacity; Good command of data analysis and visualization tools; Excellent understanding of quantification mechanisms; Good understanding of early warning systems; Ability to develop SOPs, standardized tools, and institutional mechanisms; Ability to work within a matrix reporting environment; Strong capacity for institutional collaboration; High sense of ethics and confidentiality; Ability to work in a support role rather than a substitutive one; Ability to transfer skills and support national teams. Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Limassol, Cyprus About the Role We are looking for an experienced investment professional to lead the Group's Portfolio Management activities. The successful candidate will be responsible for managing investment portfolios, developing investment strategies, supporting client relationships, and contributing to the growth of the Group's investment business. This role offers the opportunity to work with high-net-worth individuals, family offices, and corporate clients across multiple jurisdictions while helping to build a modern international investment platform. Mission Lead the Group's investment activities by delivering strong investment performance, providing high-quality advice to clients, and supporting the long-term growth of the business. Key Responsibilities Investment Management Manage discretionary and advisory portfolios for private and institutional clients. Develop and implement investment strategies across public and private markets. Monitor market developments and adjust portfolio allocations where necessary. Ensure disciplined risk management and capital preservation. Portfolio Management Oversee investment portfolios and asset allocation strategies. Support the development of investment products and solutions. Maintain portfolio reporting and performance monitoring processes. Participate in investment committee discussions and decision-making. Business Development Support the growth of the investment business and client base. Work closely with Wealth Management, Private Finance, Compliance, Technology, and Digital Assets teams. Contribute to the development of new investment solutions and products. Team Collaboration Collaborate with analysts, advisors, and investment professionals across the Group. Support junior team members where appropriate. Promote a culture of professionalism, accountability, and continuous improvement. Technology & Innovation Explore opportunities to use AI and technology within investment research and portfolio management. Improve efficiency and decision-making through modern analytical tools. Requirements Must Have Experience in portfolio management, wealth management, private banking, or asset management. Strong understanding of portfolio construction, asset allocation, and risk management. Experience working with HNW, UHNW, family office, or institutional clients. Commercial mindset and ability to contribute to business growth. Strong communication and relationship management skills. Preferred Existing client relationships or transferable assets under management (AUM). CFA, CAIA, FRM, or similar qualifications. CySEC certifications and experience in regulated environments. Experience with investment products, discretionary portfolios, or wealth management solutions. Knowledge of alternative investments and digital assets. What Success Looks Like Consistent delivery of strong risk-adjusted investment performance. Growth in Assets Under Management (AUM) and advisory relationships. Strong long-term client relationships and retention. Contribution to the development of the Group's investment platform. Successful adoption of technology and AI tools within investment processes. Benefits Competitive salary; Annual performance bonus; Relocation to Cyprus and Visa support; Access to our Limassol offices, including daily drinks and snacks, as well as parking facilities; Working hours are from 9:00 to 18:00, with a shorter day on Fridays until 16:30; 24 working days of paid annual leave, in addition to statutory public and bank holidays in Cyprus; 14 working days of paid sick leave per calendar year; Work permit sponsorship and full support with all related arrangements; The opportunity to participate in corporate sports activities and events, and receive corporate gifts.

Location: Damascus, Syria Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience. At Toters, technology is at the heart of everything we do. We have product teams that are working hard everyday to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now. The Customer Experience Specialist position in Beirut is key in driving Toters’ growth across the country, and with multiple stakeholders. We are looking for a multi-skilled candidate with strong communication and customer service skills to help TOTERS scale up operations and grow our customer base. The selected individual will help Toters grow and manage the day-to-day operations, while delivering excellent customer experience. Responsibilities: Answer all inbound communications from customers and merchants. Monitor orders queue for any new orders and manage the new order assignment process 6 days a week. Handle daily customer care emails, support messages, and calls. Follow up on assigned orders with phone calls & Chats to Merchants and Customers to ensure orders are received and being processed without any delays or issues. Channel market feedback to technology team to improve the Customer and Driver Apps. Monitor any issues with orders and deliver necessary compensation to customers when needed. Handle initiated outbound activities/campaigns when required. Meet the department’s KPI targets for order fulfillment and service quality. Help Toters continue to WOW its growing customer base. Requirements: B.S in Business Administration, Communications, Public Relations, or related field, or equivalent work experience. Responsible individual who is able to wear multiple hats to get the job done, from sitting behind a desk and performing analytical tasks, to delivering exceptional service to customers and following up with merchants and the operations team through phone calls, chats and email. A Positive mindset, Fast learner, dynamic and able to work well under pressure. Understand the impact of having a positive attitude when handling certain cases, and handle stress. Apply elements of building positive rapport with customers and ensure proper etiquette to satisfy various customer situations. Constant readiness and availability, with the ability to manage calls and communication channels 6 days a week, especially during dinner and lunch peak hours. Flexible and willing to work on shift based environment including weekends, holidays, evening and overnight shifts. Excellent communication skills in English and Arabic. Strong Organization and Time Management skill. Tech savvy, and is able to learn and use web tools.

Location: Mumbai, India We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions.  This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. Role Purpose The GBS PMO & Transformation Analyst provides project, governance, analytical and administrative support to the Global Business Services function. The role supports the development and execution of the GBS roadmap by assisting with service transitions, business case development, project & process governance, stakeholder reporting, performance tracking and continuous improvement initiatives. Working closely with the Director of Global Business Services, function leaders and project teams, the role helps ensure that GBS initiatives are delivered in a structured, disciplined and measurable manner. The role holder must be an ambitious analyst or project professional seeking exposure to enterprise transformation, shared services, business process improvement and organisational change. The role supports governance, transition and business case activities identified within EnerMech's  GBS model. Key Responsibilities Support the delivery of GBS projects, transitions and improvement initiatives. Maintain project plans, RAID logs, action trackers and milestone schedules. Assist in planning and coordinating the migration of activities into the GBS organisation. Support transition readiness assessments, training coordination and go-live preparation. Coordinate GBS governance meetings, steering committees and project review forums. Support the preparation of business cases for new GBS opportunities, scope expansions and transformation initiatives. Collect, validate and analyse baseline data relating to costs, volumes, effort and performance. Assist with process mapping, root cause reviews and improvement workshops. Track progress against agreed deliverables and escalate risks where required. Coordinate meetings, workshops and project activities with stakeholders. Experience Requirements Experience within Shared Services, GBS or Finance Operations. Exposure to business case development and financial modelling. Knowledge of project management methodologies. Experience with Power BI. Experience supporting system implementations or business transitions. Project Management qualification (PRINCE2, PMP, Agile, CAPM or equivalent). Knowledge of process improvement methodologies such as Lean or Six Sigma. Anticipated Skills Degree in Business, Finance, Accounting, Economics, Project Management or related discipline. 2-5 years' experience in project support, PMO, business analysis, shared services or transformation environments. Strong analytical and problem-solving capability. Excellent Excel and PowerPoint skills. Strong written and verbal communication skills. Experience preparing reports, presentations and management information. Ability to manage multiple priorities and work independently. Strong attention to detail and organisational skills. ·

Location: Indianapolis, United States; Ohio City, United States; Chicago, United States Description Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Role purpose Lead the development and application of digital twins to improve clinical trial design and support evidence-based clinical development decisions. The role prioritizes digital-twin, simulation, and AI/ML expertise, supported by clinical-development experience and close partnership with trial-design experts. Position overview You will join a multidisciplinary clinical development environment and partner with clinical scientists, physicians, biostatisticians, pharmacometricians, biomarker experts, data scientists, data engineers, and other stakeholders. You will translate clinical development questions into quantitative strategies and deliver  interpretable analyses that inform protocol design, patient selection, endpoint strategy, dosing, operational planning, and decision-making under uncertainty. The role prioritizes digital twins as the primary capability for simulating patients, disease trajectories, treatment response, and clinical trials. The successful candidate will bring strong digital-twin, simulation, and AI/ML expertise, along with sufficient clinical-development knowledge to work effectively with trial teams. Deeper trial-design expertise can be developed through close collaboration with clinical scientists, biostatisticians, and pharmacometricians. Key responsibilities Digital-twin development and validation ·   Lead the design, development, and evaluation of digital twins of patients, disease trajectories, treatment response, or clinical trials using clinical trial and relevant external data. ·   Combine mechanistic, statistical, causal, and machine learning approaches to create fit-for-purpose digital twins that can be simulated under alternative populations, interventions, dosing strategies, endpoints, or trial designs. ·   Define use cases and contexts of use with clinical and quantitative experts so each digital twin addresses a specific trial-design or development decision. ·   Assess calibration, validation, robustness, transportability, uncertainty, and practical relevance using appropriate internal and external evaluation strategies. ·   Develop reproducible workflows and reusable digital-twin components that can be applied across programs or therapeutic areas. Clinical trial design and quantitative decision support ·   Partner with trial teams to frame development questions and evaluate design options, including target populations, eligibility criteria, enrichment strategies, comparators, endpoints, visit schedules, dosing strategies, and operational tradeoffs. ·   Use digital twins and complementary simulation methods to compare plausible scenarios, characterize uncertainty, and support model-informed decision-making. ·   Work closely with statisticians and pharmacometricians so analyses complement established trial-design methods and align with clinical and regulatory objectives. ·   Communicate assumptions, limitations, and decision-relevant insights clearly to technical and non-technical stakeholders. Data integration and scientific collaboration ·   Analyze and integrate clinical trial data and, where relevant, biomarkers, imaging, digital health data, omics, patient-reported outcomes, and real-world data. ·   Partner with data engineering and platform teams to create analysis-ready datasets, data-quality checks, lineage, and reproducible pipelines. ·   Contribute to scientific documentation, presentations, publications, and responsible adoption of digital-twin methods across clinical development. Model quality and responsible use ·   Define the intended use, decision context, success criteria, and limitations of each model before development. ·   Ensure models are interpretable, auditable, reproducible, and supported by evidence appropriate to their intended use. ·   Apply appropriate governance, privacy, security, and scientific-review requirements for clinical data and analytical outputs. ·   Clearly distinguish exploratory analyses from validated decision-support evidence and avoid overclaiming model capability. Requirements ·   PhD in data science, statistics, biostatistics, pharmacometrics, computer science, biomedical informatics, engineering, mathematics, operations research, or a related quantitative field. ·   Demonstrated experience developing digital twins, virtual patients, disease-progression models, clinical trial simulations, synthetic controls, or closely related computational models. ·   Strong experience applying machine learning, statistical modeling, causal inference, or simulation to biomedical, healthcare, pharmaceutical, or other complex scientific data. ·   Strong programming skills in Python, R, or a comparable analytical language, with experience using version-controlled and reproducible workflows. ·   Sufficient clinical-development knowledge to frame relevant questions and collaborate effectively with clinical and quantitative trial experts. ·   Ability and interest to deepen clinical trial-design knowledge through partnership with clinical scientists, biostatisticians, and pharmacometricians. ·   Strong written and verbal communication skills and demonstrated effectiveness in cross-functional scientific collaboration. Preferred qualifications ·   Strongly preferred: experience supporting clinical trial design, protocol development, clinical development strategy, model-informed drug development, or regulatory-facing quantitative evidence. ·   Familiarity with one or more trial-design topics, such as endpoint strategy, sample size or power assumptions, patient selection or enrichment, longitudinal outcomes, missing data, adaptive designs, or decision criteria. ·   Knowledge of digital-twin architecture and validation, supported by expertise in causal inference, Bayesian modeling, survival analysis, longitudinal modeling, clinical trial simulation, or synthetic controls. ·   Experience with clinical data standards and common clinical-development data sources. ·   Experience with biomarker, imaging, omics, digital health, or real-world data and integration of multiple data modalities. ·   Experience with scalable cloud-based analytical environments. ·   Track record of translating analytical work into decisions, reusable capabilities, publications, presentations, or other measurable scientific impact.

Location: United States; Canada; United Kingdom; Australia; New Zealand 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 Chemistry and Computational Research Specialistwith doctoral-level expertise to contribute to projects focused on training and benchmarking next-generation AI systems. You will design and evaluate chemistry problems, validate scientific reasoning, analyze experimental and computational data, and assess AI-generated research outputs for accuracy and reproducibility. Depending on your specialization, you may work with reaction mechanisms, synthesis planning, spectroscopy, molecular simulations, electronic structure calculations, or cheminformatics. The ideal candidate combines deep chemistry knowledge with hands-on laboratory or computational research experience, strong quantitative reasoning, and the ability to communicate complex scientific findings clearly. Prior AI experience is not required. SENIORITY: PhD-Level Research Specialist LANGUAGE: Professional English — C1 or higher TARGET LOCATIONS: US and Canada are our top priorities, followed by the UK, Australia, and NZ. We’re open to candidates worldwide as long as they meet the C1 English level. Key Responsibilities Design, evaluate, and critique chemistry problems, computational workflows, and scientific reasoning chains for AI benchmarking initiatives. Assess chemical reasoning involving reaction mechanisms, synthesis planning, retrosynthesis, spectroscopy, and molecular modeling. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy and reproducibility. Analyze chemical, spectroscopic, experimental, and simulation data to identify errors, limitations, and opportunities for improvement. Apply domain expertise to guide the development and validation of chemistry-focused AI models and scientific tools. Review AI-generated scientific outputs for correctness, completeness, methodological soundness, and consistency with established chemical principles. Document research methods, findings, limitations, and best practices to support reproducibility and knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Areas of Expertise Candidates should have deep expertise in at least one of the following areas: Organic synthesis and reaction mechanisms Inorganic and organometallic chemistry Physical and theoretical chemistry Analytical chemistry and spectroscopy Computational chemistry and molecular dynamics Cheminformatics and drug discovery Materials science and polymer chemistry Requirements PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related field. Hands-on research experience in a laboratory setting for experimental chemistry specializations, or extensive simulation-based research experience for computational specializations. Deep expertise in at least one of the listed chemistry or computational research areas. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software used in your specialization. Familiarity with applicable tools such as Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit. Excellent quantitative, analytical, and scientific reasoning skills. Strong written and verbal communication skills, including the ability to document and explain technical concepts. Demonstrated ability to solve complex chemistry problems rigorously and evaluate scientific results critically.

Location: United States; Canada; United Kingdom; Australia; New Zealand 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 Biology and Bioinformatics Research Specialist with doctoral-level expertise or equivalent research experience to support projects focused on training and benchmarking next-generation AI systems. You will design, evaluate, and improve biological data analysis workflows, validate computational methods, and assess AI-generated scientific outputs for accuracy and reproducibility. Working across areas such as genomics, transcriptomics, proteomics, computational biology, and biostatistics, you will apply rigorous scientific reasoning to real biological datasets and communicate findings clearly to technical and scientific collaborators. Prior AI experience is not required; deep domain expertise and hands-on computational research skills are the priority. SENIORITY: PhD-Level Research Specialist / Experienced Researcher LANGUAGE: Professional English — C1 or higher TARGET LOCATIONS: US and Canada are our top priorities, followed by the UK, Australia, and NZ. We’re open to candidates worldwide as long as they meet the C1 English level. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Review genomic, transcriptomic, proteomic, and other biological data analysis pipelines for scientific accuracy and reproducibility. Assess and optimize pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including next-generation sequencing (NGS), RNA-seq, single-cell data, variant-calling outputs, and protein structures. Validate computational approaches and provide actionable recommendations to improve scientific reliability. Apply domain expertise to guide the development and evaluation of biology-focused AI models and tools. Document methodologies, findings, limitations, and best practices to support reproducible research and knowledge transfer. Communicate complex scientific concepts clearly to both technical and non-technical stakeholders. Areas of Expertise Candidates should have deep expertise in at least one of the following areas: Genomics and next-generation sequencing (NGS) analysis Transcriptomics and single-cell analysis Proteomics and structural biology Molecular and cell biology Systems biology and biological network analysis Drug discovery and computational pharmacology Biostatistics and machine learning applied to biology Requirements PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM field, or equivalent industry or research experience. Professional written and spoken English proficiency at C1 level or higher. Deep expertise in at least one relevant biological or computational research area. Hands-on experience analyzing real biological datasets. Proficiency in Python and/or R for scientific analysis. Experience with relevant tools and libraries, such as BLAST, samtools, GATK, Bioconductor, or Biopython, depending on the candidate's specialization. Strong statistical, quantitative, analytical, and scientific reasoning skills. Excellent written and verbal communication skills, including the ability to explain technical methods and document results. Demonstrated ability to solve complex biological or computational problems rigorously.

Location: Netherlands; Germany; Sweden; Switzerland; New Zealand; Spain 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 experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities Review AI conversations involving real-world interpersonal situations and everyday decision-making. Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. Evaluate whether gathering additional information would materially change an AI-generated recommendation. Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. Conduct qualitative reviews and document findings using structured evaluation guidelines. Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. Identify missed opportunities for clarification, deeper understanding, and information gathering. Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. Collaborate with research teams to ensure consistent, evidence-based assessments. Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines. Requirements Candidates must have at least 3–5 years of relevant direct professional experience in one or more of the following domains: 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work license or credential. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy license or credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, or qualitative coding. Ability to analyze conversations systematically and identify missing context, communication patterns, and opportunities for clarification. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: United States; Saudi Arabia; Canada; United Kingdom; Australia; Ireland 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 experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities Review AI conversations involving real-world interpersonal situations and everyday decision-making. Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. Evaluate whether gathering additional information would materially change an AI-generated recommendation. Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. Conduct qualitative reviews and document findings using structured evaluation guidelines. Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. Identify missed opportunities for clarification, deeper understanding, and information gathering. Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. Collaborate with research teams to ensure consistent, evidence-based assessments. Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines. Requirements Candidates must have at least 3–5 years of relevant direct professional experience in one or more of the following domains: 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work license or credential. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy license or credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, or qualitative coding. Ability to analyze conversations systematically and identify missing context, communication patterns, and opportunities for clarification. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Serbia; Croatia; Greece; Malaysia; Morocco; South Africa 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 experienced Subject Matter Experts (SMEs) from psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether the AI gathered sufficient context before making recommendations, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical and interviewing skills, and the ability to distinguish essential, decision-changing information from details that are less relevant to a recommendation. Key Responsibilities Review AI conversations involving interpersonal relationships, workplace situations, education, family matters, everyday planning, wellbeing, and other real-world decisions. Evaluate whether the AI gathered sufficient context before providing advice, recommendations, or proposed solutions. Identify missing information and suggest relevant follow-up questions that could improve the quality of the AI's response. Assess whether additional context would materially change the recommendation or decision. Distinguish between load-bearing information that could change the outcome and non-essential or merely descriptive details. Conduct qualitative reviews using structured evaluation guidelines and document findings consistently. Identify missed opportunities for clarification, contextual understanding, and information gathering. Consider relevant personal, psychological, social, financial, practical, and organizational factors when evaluating conversations. Collaborate with research teams to maintain consistent evaluation standards and high-quality assessments. Complete assigned tasks accurately within the required project timelines. Requirements Candidates must have at least 3–5 years of direct professional experience in one or more of the following domains. 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work credential or license. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, qualitative coding, or similar research activities. Ability to analyze conversations systematically and identify missing context or patterns in human communication. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Brazil; Mexico; Argentina; Colombia; Poland; Romania 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 experienced Subject Matter Experts (SMEs) from psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether the AI gathered sufficient context before making recommendations, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical and interviewing skills, and the ability to distinguish essential, decision-changing information from details that are less relevant to a recommendation. Key Responsibilities Review AI conversations involving interpersonal relationships, workplace situations, education, family matters, everyday planning, wellbeing, and other real-world decisions. Evaluate whether the AI gathered sufficient context before providing advice, recommendations, or proposed solutions. Identify missing information and suggest relevant follow-up questions that could improve the quality of the AI's response. Assess whether additional context would materially change the recommendation or decision. Distinguish between load-bearing information that could change the outcome and non-essential or merely descriptive details. Conduct qualitative reviews using structured evaluation guidelines and document findings consistently. Identify missed opportunities for clarification, contextual understanding, and information gathering. Consider relevant personal, psychological, social, financial, practical, and organizational factors when evaluating conversations. Collaborate with research teams to maintain consistent evaluation standards and high-quality assessments. Complete assigned tasks accurately within the required project timelines. Requirements Candidates must have at least 3–5 years of direct professional experience in one or more of the following domains. 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work credential or license. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, qualitative coding, or similar research activities. Ability to analyze conversations systematically and identify missing context or patterns in human communication. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Ghent, Belgium D-ploy is a dynamic IT and Engineering Solutions company operating across the EMEA region, including Switzerland, Germany, Czech Republic, Austria, the UK, and the UK, and the USA. We are committed to delivering reliable and efficient services to our clients through strong partnerships and a people-focused culture. We are looking for an experienced Senior Transformation PMO to support complex transformation initiatives, strengthen program governance, and drive alignment across multiple strategic projects. The ideal candidate is a highly structured, proactive professional with strong stakeholder management skills, a strategic mindset, and the ability to translate complex transformation objectives into actionable plans and measurable outcomes. Responsibilities Coordinate strategic transformation initiatives, including M&A activities and integration-related projects. Establish and maintain effective governance frameworks across programs, projects, and IT service delivery initiatives. Drive communication, collaboration, and alignment between program managers, service owners, technical teams, and senior stakeholders. Ensure consistency in project management practices, including reporting, documentation, risk management, and milestone tracking. Support the development and implementation of Product Ownership standards and capability delivery frameworks. Proactively manage risks, dependencies, and delivery challenges, ensuring accountability and alignment with strategic objectives. Requirements Bachelor's or Master's degree in Business Administration, Information Technology, Engineering, Project Management, or a related field. Extensive experience in senior PMO, program management, or transformation management roles within complex international organizations. Proven experience supporting large-scale business or IT transformation initiatives, ideally involving M&A or post-merger integration. Strong understanding of program governance, IT service delivery frameworks, and project management methodologies. Experience establishing or improving PMO standards, reporting structures, governance processes, and delivery practices. Good understanding of Product Ownership principles, Agile methodologies, and capability delivery models. Excellent communication, stakeholder management, and influencing skills, including experience working with senior leadership. Strong analytical and problem-solving abilities, with a proactive, structured, and independent working style. Experience working in highly structured or quality-driven environments is considered an advantage. Fluency in English, both written and spoken. PMP, PRINCE2, MSP, or equivalent project/program management certification is considered an advantage. Valid criminal record extract, not older than three months, required. Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Location: Singapore We are growing! We are currently looking to hire an experienced Account Manager (Luxury Consultant) for our office in Singapore where you will be based. Who we are: Founded in 2006, CXG is a global customer experience company uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide. The mission of our 270 collaborators is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation. We are passionate about delivering impact. Our clients include the world’s most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction. What you will be doing You will join a dynamic and fast-paced environment and work closely with our global teams to develop strong and long-lasting relationships with our clients, coordinate with internal departments and deliver insightful, impactful client presentations to executive and board level stakeholders. Here, passion, integrity and “can-do” attitude are always top of mind. Your daily tasks will involve: Collaborating with luxury and premium brands to help them transform and drive business impact through customer experience. Maintaining and nurturing your client portfolio by offering white glove service and added value. Collaborating with members of our international teams to design methodologies, develop new solutions and offer expert advice to our clients. Managing the entire account including stakeholders, internal departments, budget, and the quality of deliverables. Project Management- proposal, execution and delivery of projects. Delivering insightful and engaging face-to-face presentations to C-level executives. Requirements What you will bring along This role requires a passion about the luxury industry and customer experience. It also requires strong organization skills as well as past experiencein a client-facing role. You should also have the below: Bachelor’s/ Master’s Degree in Administration, Business, Management or related field. 4 + years of work experience preferably in retail and / or in a client-facing role (B2B). Verbal and written communication skills (persuasive, diplomatic communication skills with experience in presentations and proposal writing). Analytical aptitude- ability to examine data to make meaningful inferences and analysis. Leadership skills (externally – ability to lead a meeting and internally – ability to take lead on a project). Excellent team player with a great sense of collaboration. Consulting skills- ability to challenge a client brief and to ask meaningful questions. Excellent interpersonal skills. Time management- ability to manage time and resources effectively in a deadline-driven environment. Fluency in English (verbal and written). Fluency in Mandarin will be considered an advantage. If you have what we are looking for, please make sure to attach your updated Resume with your contact details. Should your profile fit the requirements for the role, we will get in touch with you to get a deeper understanding of your profile, to discuss the role in more detail and potential next steps. To know more about us, please visit our website: https://www.cxg.com

Location: Ukraine; Romania; Slovakia; Cyprus Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Full-Stack PHP Developer (Laravel + React/Vue) to join its innovative team. Project Responsibilities Build and maintain scalable, full-stack web applications using Laravel on the back end and React/Vue on the front end Contribute to architecture decisions for applications built to scale: service design, data modeling, caching, and queue-based processing Design and build RESTful APIs and integrations with internal and third-party systems Develop reusable Laravel packages and front-end components shared across projects Own quality and performance: refactor legacy code, optimize queries, and improve response times Write automated tests and take part in code reviews and CI/CD improvements Document technical decisions, APIs, and specifications Work with product, design, QA, and engineering teams to scope and deliver features Ensure software development best practices and timely delivery of product functionality Candidate's Portrait We're looking for a full-stack developer who owns features end to end, from database design and APIs to the React/Vue interface users actually interact with. You'll build and scale business-critical web applications, working closely with product, design, and QA teams to transform requirements into reliable, maintainable, and high-performing software. We value engineers who understand the bigger picture, question unclear requirements early, and care about long-term maintainability as much as delivery. Must-haves 5+ years of professional experience with modern OOP PHP (8.x) 3+ years of hands-on experience with Laravel Strong knowledge of the Laravel ecosystem: Eloquent, Queues, Jobs, Events, Service Container, Middleware, Authentication 3+ years of production experience with React or Vue Strong TypeScript and modern JavaScript skills Experience designing RESTful APIs, including authentication, validation, and error handling Solid SQL skills (MySQL or PostgreSQL) Experience with schema design, indexing, and query optimization Hands-on experience with Redis and queue-based architectures Experience with automated testing (PHPUnit, Pest, Jest, Vitest, or Playwright) Comfortable with Git-based workflows, pull requests, and CI/CD pipelines Experience working in AI-assisted development environments (Copilot, Cursor, Claude Code, etc.) Strong analytical and problem-solving skills Good written and spoken English Nice-to-have Inertia.js, Livewire, or Next.js/Nuxt Tailwind CSS Docker and cloud infrastructure (AWS, Forge, Vapor) Static analysis tools (PHPStan, Larastan) Code quality and formatting tools (Pint) Real-time features (WebSockets, Reverb) RabbitMQ or other message brokers Microservices architecture experience Experience with event platforms Experience with ticketing systems Experience with payment integrations (Stripe, PayPal)