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Location: Kuala Lumpur Workplace: onsite ABOUT YOU We are looking for a Senior QA Engineer who is meticulous, technically sharp, and forward-thinking to join our engineering team. You thrive in fast-paced, agile environments and are passionate about ensuring quality at every stage of the development lifecycle. You are not only confident in manual testing but also eager to integrate AI driven testing tools and workflows to elevate productivity, test coverage, and defect detection.   You bring deep expertise in exploratory and structured testing, contribute to team best practices, and are proactive in monitoring production behavior and user experiences. You stay curious about emerging tools and technologies, especially AI, and know how to leverage them effectively without losing sight of the fundamentals.   If you’re excited to improve test processes, advocate for quality across teams, and drive innovation in QA through automation and AI, we’d love to hear from you.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Own and lead manual testing of complex features across multiple environments Drive exploratory and regression testing using structured documentation and product knowledge Identify, log, and track reproducible issues with precision using bug tracking tools (e.g. Jira) Analyze production logs and real-user behavior to proactively identify quality gaps Create and maintain detailed test cases, checklists, and QA documentation Collaborate with engineering and DevOps teams to ensure reliable CI/CD test coverage Evaluate and integrate AI-powered tools (e.g. test generation, log analysis, visual regression) into QA workflows Set up and manage test environments, staging pipelines, and job configurations Conduct load/stress testing and performance investigations Act as a quality advocate across sprint planning, reviews, and release cycles Mentor junior QA engineers and promote a culture of proactive quality ownership Qualifications & Skills Proven experience in software QA or testing roles, including ownership of end-to-end quality Degree in Computer Science, Information Technology, or related field Strong understanding of manual testing methodologies and defect life cycle Proficiency with bug tracking systems (e.g., Jira) and version control (e.g., Git) Practical experience using Postman and similar tools for API validation Hands-on experience with CI/CD pipelines and deployment readiness processes Proficiency with browser developer tools and basic terminal/command-line usage Strong verbal and written English communication skills Familiarity with AI-powered testing tools (e.g., test case generation, smart test prioritization, AI log analysis) Good to Have Experience with Playwright, Cypress, or Selenium for automated test development Understanding of backend technologies, APIs, and familiarity with PHP or related languages Experience working in Linux environments and using Bash scripting Hands-on with AI platforms (e.g., ChatGPT, Testim, Mabl, or AI-based bug triaging tools) in a QA context BENEFITS: Convenient work tools Latest Mac workplaces + additional hardware to make you more effective at work Google Chat, Gmail, Google Drive, Confluence, Jira, GitLab Professional growth Free trainings and participation in specialized conferences Rich knowledge exchange within the company More perks Health insurance (Medical, dental and optical)- Employee and dependants Flexible hours: organize your day according to your needs and sprint & teamwork demands No dress code Comfortable and new office environment  The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com. For more vacancies: https://xsolla.com/careers

Location: Al Khobar, Saudi Arabia Eram Talent is on the lookout for a Corporate Training & Development Specialist to join our esteemed team in Saudi Arabia. The Corporate Training & Development Specialist will play a vital role in assessing training needs, designing impactful training interventions, and implementing programs that align with strategic business objectives. You will collaborate with leaders across departments to identify skills gaps and develop training solutions tailored to enhance employee performance and career development. Key Responsibilities: Design and introduce the company’s training and development framework, policies, and standards. Analyze and identify competency and skill gaps through performance data, surveys, and discussions with management. Develop a long-term training roadmap aligned with business strategy and workforce planning. Create and implement digital onboarding and learning programs leveraging technology (e.g., LMS, e-learning tools). Develop and maintain engaging training materials, manuals, and visual aids. Evaluate the effectiveness of programs, trainers, and learning content, recommending improvements. Manage the annual training budget and forecast future learning investments. Build partnerships with external training providers and certification bodies. Prepare and present reports and dashboards on training outcomes and employee skill progress. Support managers and supervisors in applying coaching and learning techniques within their teams. Promote a culture of continuous learning across the organization. Requirements Bachelor’s degree in Human Resources Management, or equivalent from a recognized and accredited university is required. A minimum of 8 years of experience in corporate training and development. Strong expertise in designing and delivering effective training programs tailored to business needs. Excellent presentation and facilitation skills, with the ability to engage diverse learners. Strong analytical skills to assess training effectiveness and identify areas for improvement. Exceptional communication skills, both written and verbal. Experience with Learning Management Systems (LMS) and other training technologies. Knowledge of adult learning principles and instructional design methodologies. Ability to work collaboratively with various teams within the organization. Proficiency in both English and Arabic is preferred. A proactive approach to fostering employee development and enhancing organizational performance.

Location: Doha Workplace: OnSite ABOUT THE STUDIO Utopia Studio is an AI-native venture builder for the Global South, backed by Qatar Development Bank. We work with domain experts across the GCC, Southeast Asia, and Africa to accelerate venture creation through AI-driven execution and shared infrastructure. At the core is Utopia OS — a modular platform that automates what's repeatable, embeds AI agents across workflows, and lets learning compound across ventures. ABOUT THE ROLE We're looking for a founding product engineer to build the platform and infrastructure side of Utopia OS. You’ll design, develop, and scale the shared systems, data pipelines, and full-stack applications that power dozens of AI-native ventures launching from Doha for the Global South. You’ll combine deep backend expertise with the ability to deliver seamless, data-driven web experiences that make AI-native venture building faster and smarter. You will work as part of a product trio with the Design Lead and the Rapid Prototyping Engineer, making joint decisions on discovery, scope, and technical approach. Reports to: Studio Director Growth path: Head of AI Platform / CTO track RESPONSIBILITIES PLATFORM ENGINEERING & INFRASTRUCTURE - Architect, build, and maintain Utopia OS infrastructure: auth, data systems, deployment, monitoring, analytics - Develop full-stack web apps and plugins for studio-wide decisioning and analytics - Build and maintain data pipelines for ingestion, transformation, and deployment across all ventures - Develop and maintain robust backend systems and APIs, integrating modern databases (Postgres, Supabase, PlanetScale) and data architectures (Iceberg, Delta Lake). - Implement data pipelines and transformation workflows (Dagster, Airflow) to enable real-time analytics across ventures. - Create clear, reusable documentation and internal tooling to standardize engineering practices across the platform. - Take early-stage products and harden them for scale, reliability, and compliance. - Collaborate with design and product teams to translate data and infrastructure capabilities into intuitive user experiences and venture-facing tools. - Implement CI/CD, observability, and security frameworks across the portfolio - Design deployment templates for multi-tenant environments and enterprise integrations COLLABORATION & ENGINEERING EXCELLENCE - Work closely with venture teams to integrate AI workflows and shared infrastructure - Improve developer experience through modern, intuitive tool design - Provide technical guidance and mentorship to engineers and fellows — fostering a culture of learning, experimentation, and shared standards across the Studio. - Document architecture, standards, and playbooks so they can be reused across the studio - Communicate complex technical concepts clearly to both engineering and non-technical stakeholders — turning systems thinking into shared understanding. - Stay current with advances in generative AI, data infrastructure, and modern web engineering - Work in a tight loop with the Design Lead on design system needs and with the Rapid Prototyping Engineer to productionize validated prototypes into secure, scalable services. - Co-own technical discovery with the product trio: define evaluation plans, success metrics, and risks before committing to builds. - You’ll also help the team build shared capabilities typically owned by dedicated functions — like LLMOps, Data Engineering, and Security — but in a lean, integrated way. - That means establishing lightweight evaluation pipelines, data ingestion templates, and security practices that can scale across multiple ventures without extra overhead. - These foundations will later evolve into formalized systems as Utopia grows. - We operate as a compact, AI-native core team — covering product, design, and engineering end-to-end. - Each of us contributes to early foundations in areas like evaluation, data, research, and security, ensuring the platform scales responsibly without added layers or headcount. EXPERIENCE & SKILLS - Bachelor's or Master's in Computer Science, Software Engineering, or related field - 4–8 years in full-stack and backend development (startup or AI context preferred) - Strong with modern frameworks (React, Vue, Angular, Next.js, SvelteKit) and backend systems (Postgres, Supabase, PlanetScale) - Experience with data pipelines (Dagster, Airflow) and modern data lakes (Iceberg, Delta Lake) - Experience designing data-driven applications — integrating analytics and visualization into user-facing tools. - Comfortable with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and CI/CD pipelines - Strong documentation and communication skills — you can explain complex systems clearly TECHNICAL FOUNDATIONS - Strong in full-stack development, with expertise in at least one modern front-end framework (React, Svelte, Vue, Angular, or Next.js) - Experienced with backend systems, data pipelines, and cloud infrastructure (Postgres, Supabase, AWS, Docker, Kubernetes) - Comfortable developing and deploying in hybrid environments, with CI/CD, monitoring, and observability best practices - Familiar with data lake architectures (Delta Lake, Iceberg) and workflow orchestration tools (Airflow, Dagster) IMPACT & SUCCESS METRICS - Accelerate venture build cycles through reusable systems and faster deployment - Improve infrastructure reliability and security across ventures - Reduce duplication and increase code reuse across the Studio platform - Enable measurable improvements in venture launch speed, uptime, and developer experience MINDSET & VALUES - Systems + Empathy: You balance deep backend expertise with product intuition and user empathy. - AI as collaborator: You build infrastructure that learns, adapts, and improves through automation and AI augmentation. - Outcome focus: You optimize for speed, reliability, and measurable business value across all ventures. - Continuous learning: You're always exploring new frameworks, architectures, and AI tools that make engineering smarter and more efficient. WHAT YOU CAN EXPECT - Meaningful Impact: Your work directly contributes to building the core infrastructure behind a new generation of ventures - enabling equitable, AI-native innovation across the Global South. - Collaborative Culture: We thrive on openness, curiosity, and collective intelligence. Everyone has a voice, and decisions are made transparently. - Growth Mindset: From AI learning and use budgets to mentorship, we invest in your development and help you grow beyond your comfort zone. - Competitive Rewards: Tax-free compensation, private health and travel insurance, and a benefits package designed for both security and flexibility. - Wellbeing First: Generous PTO, flexible hybrid setup, and wellness programs to help you stay balanced. - Work-Life Integration: Office lunches twice a week, great snacks, and team meetups that keep energy and connection high. - Global Exposure: Occasional travel across Southeast Asia, Africa, and the Middle East for meaningful, on-ground collaboration with venture teams. - Inclusive by Design: We celebrate diversity and are committed to building an environment where everyone belongs. WHY THIS ROLE MATTERS You'll be building the operating system for AI-native venture creation — the foundation that founders across the Global South will use to build the next generation of companies. Your work will power Utopia OS and enable innovation aligned with Qatar's Vision 2030 for a digital, knowledge-based economy. Your work will accelerate venture build time and reduce technical duplication across the Studio — measurable through faster deployment cycles, improved reliability, and reusable systems. WHO THIS ROLE ISN’T RIGHT FOR If you prefer working in rigid environments, or need fully defined specs before shipping, this may not be the right fit. We move fast, operate with high trust, and expect engineers to take ownership from architecture through to production. THE UTOPIA PLATFORM ADVANTAGE The Studio is part of Utopia Capital’s integrated venture platform designed to solve the biggest friction points in emerging market venture creation. Most founders face a broken journey: they struggle to build with limited resources, chase capital across disconnected investors, and lack the infrastructure to scale across regions. We've built a different system. The Studio co-builds ventures with domain experts using AI-native infrastructure, compressing the path from concept to product. The Radical Fund and A-typical Ventures provide fast, aligned capital from pre-seed through Series A, removing fundraising friction at every stage. And Utopia OS — our shared technical backbone — gives every venture access to the same tools, data systems, and regional networks that would normally take years and millions to build. This means founders can focus on solving real problems while we handle the build infrastructure, capital coordination, and cross-regional expansion. It's a compounding system: each venture we build makes the next one faster, smarter, and more capital-efficient. That's the platform advantage that you will be part of and contribute to, purpose-built for the complexity of the Global South. We believe innovation should be inclusive and globally distributed. Our team is built on openness, curiosity, and collaboration — with people from across the GCC, Africa, and Southeast Asia working together to build meaningful ventures. All roles are based in Doha, Qatar, with flexible hybrid options and global travel opportunities (unless otherwise stated). We welcome talent from every background to join us in shaping the future of AI-native innovation.

Location: Canada; Toronto Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia and the government. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Key Responsibilities: - Design, build and scale agentic AI systems for serving mission critical use cases. - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. - Execute across the full AI stack and ship products to serve public interest. Qualifications: - Canadian citizenship and eligibility for security clearance (required for this role). - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks. - Experience training, evaluating, and using (as an end-user) LLMs. - Experience using large-scale distributed (GPU) LLM training strategies. - Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. RESPONSIBILITIES - Feature development: You will be owning features on our web platforms – currently the Phantom Extension https://phantom.app/download and our website. - New initiatives and products: You will be leading initiatives to add support for other blockchains to Phantom, and to launch new complementary products or infrastructure. - Interfacing with users: You will be interfacing directly with end-users and developers building on Phantom – supporting them and collecting feedback to inform the direction of the product. - Team building: You will be working with the team to create and foster a culture of raising the bar with each new hire. QUALIFICATIONS - Bachelors degree in Computer Science or related technical field or equivalent practical experience - 5+ years full-time software engineering experience with some of the following technologies: - React / Typescript / React-Query - Solana web3.js / ethers.js - Demonstrated interest in open and community-driven platforms - English language proficiency - Nice-To-Have: experience in a blockchain based project The target base salary for this role will range between $180,000 to $220,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: São Paulo, Brazil SENIOR MEDIA BUYER Our Mission is to be able to say - “Anyone in the World below $15M should fire their Agency tomorrow as nobody can beat this Value & Service at this Price” We’re looking for a results-driven and experienced Senior Media Buyer to join our team. As a Senior Media Buyer at Common Thread Collective (CTC), you will be instrumental in driving client success through strategic media buying, precision optimization, and data-driven forecasting. You will lead the development of accurate, insight-driven forecasts, ensuring that every strategy is executed seamlessly to transform projections into tangible, scalable growth for our clients. Your actions and decisions consistently resonate with the core values of CTC Global, serving as a beacon for these principles. At CTC, your trained expertise is invaluable, covering the entire spectrum of CTC’s Strategic Forecasting methods and the foundational principles of media acquisition. Your role goes beyond delivering measurable business outcomes—you will be a proactive partner in client success, maintaining clear and transparent communication about performance, strategy adjustments, and key optimizations. This ongoing engagement builds trust, strengthens client relationships, and positions CTC as a strategic leader in performance marketing. You stand as a representative and zealous advocate for CTC's unique approach to media acquisition and its accompanying tools. As a Senior Media Buyer, you set a high standard, ensuring efficiency, scalability, and a results-focused approach. You thrive in fast-paced environments, take ownership of performance outcomes, and are committed to continuous learning and innovation. We embrace the mantra, “Everyday in Everyplay, Count on Me,” meaning we take responsibility, execute with excellence, and see strategies through to success. WHAT WE LOOK FOR This place isn’t for everyone, but it might be for you if… Our core values are the heart and soul of this incredible Company. The right person for this role will appreciate each of these values, personally subscribe to them, and understand why each is critical to having a great business. To give ourselves our best shot at accomplishing Our mission, we organize all of our decisions — from recruiting, to hiring, to raises, to promotions, to how we spend our time and money — in the direction of three committed values. We recognize these values aren't for everyone. They're challenging. In fact, they're so challenging, that's why we invest so much in supporting our team and why we tend to attract people who are craving the opportunity to do more at work than get a paycheck. We're looking for those who are interested in making their work significant. AUTODIDACT Naturally curious and an autodidact, able to absorb information quickly and effectively, like osmosis. Your commitment to learning sets you apart, absorbing information swiftly and more effectively than your peers . Your openness to both offer and embrace feedback as an opportunity for growth and implement it proactively, without needing constant direction. Demonstrates resourcefulness, and independently refine your skills without being prompted. Thrives in a self-managed environment, showing autonomy, initiative, and a commitment to continuous improvement and not requiring task lists built by their managers and constant oversight. UNIMPEACHABLE CHARACTER Embodies a character that inspires pride in both personal and professional associations. Consistently honest, with the courage to acknowledge and communicate hard truths, and the humility to accept them, even when uncomfortable, and never lie in any situation. Displays a high level of self-awareness, taking full ownership of outcomes without resorting to a victim mindset. Values constructive feedback and integrates it, understanding nothing great is built without feedback. COMPETITIVE GREATNESS Performs at their best when it matters most, The Enjoyment of Hard Challenges. Demonstrates an unyielding determination to get things done, regardless of obstacles, time constraints, skills needed, or resources. Adapts to changing circumstances, recognizing that true success is about not just meeting, but exceeding what is required. Possesses a deep passion for their work, using creativity and resilience to overcome any hurdle. What Success Looks Like NECESSARY SKILLS KICK OFF PERIOD Be willing to put in the hard work required and be hungry enough to go through the kick off. Being ready and prepared for this to be the hardest job you have ever worked, as you would fundamentally develop a high-leverage new skill. The ability to take feedback and implement it fast. Finish the work to the fullest with quality and on time. Perseverance. Remember and learn from the repetitive doing of the exercises. ONBOARDING Align with the team and contribute to the team called Brain Trust for Ideas across clients. Manage, align & work with the team members of your pod including Google strategist, Creative Strategist, and Email Strategist. Ability to organize, prioritize, and manage multiple tasks with great attention to detail. Upkeep of data integrity of your clients across Statlas. Be responsible for the execution of the Prophet system for your clients Building a Growth Forecast for your clients Building a Growth map using the Prophet System Data Analysis required for the Map Marketing calendar alignment and upkeep with clients The Daily Execution and Actualisation vs the Forecast. You make tactical deconstructions and actualize the projections each day to adjust them to meet KPIs Combine data analysis and feedback from clients to develop strategic plans for the future. When it’s time to pivot you are among the first early adopters Take a lead in situations that present any obstacle to execution. An insatiable curiosity, and an inability to leave a problem alone until you’ve found one or many different potential solutions. Responsible for the implementation of CTC’s Meta best practices Build campaigns using our structure and best practices Upkeep and management of our ideologies and processes throughout the account. Monitoring active campaigns, and adjusting budgets and strategy to ensure the best possible chance of hitting the Daily Projected Targets Implementing tests in your accounts in an effort to beat your best-performing campaigns. ENSURING AND HOLDING THE STANDARD OF QUALITY OF WORK Ensuring you are within a 5% Delta to the Forecast Ensuring daily alignment with the client vs the forecast & strategy Ensuring above benchmark client satisfaction rate feedback Ensuring following the Prophet system execution to 100% within the timeline required. Ensuring all the work is delivered based on the timeline assigned with optimal quality & attention to detail. Client Communication You are a champion of communication, ensuring the client is aligned on the Growth Map goals and next steps, while making sure everybody on your team has clarity on what is required with exact deadlines. Responsible for sending daily performance updates to the client Ensure alignment across Strategy and Forecast with the client for every day of the week. Providing weekly updates on the Weekly Strategy Call. CONTRIBUTING BACK Contributing your learnings back to the system for feedback and continuous improvement Contributing & collaborating in ideas and learning across teams Contributing to ideas and learning in future company content production. NEXT-LEVEL SKILLS Communication Skills Fluent in English, with a proven ability to communicate persuasively and present ideas clearly to various stakeholders. Skilled in crafting thoughtful, empathetic client messaging that resonates, demonstrating a high level of emotional intelligence. Strong presentation skills, capable of delivering compelling presentations that drive engagement and decision-making. Great Data Analysis skills Strong raw talent for data analysis, with an eagerness to learn and improve. Familiarity with data tools, including Google Sheets, with the flexibility to develop advanced skills through on-the-job experience. Past Experience Historical expertise that compounds to bring a well-rounded perspective and adds value to the role. A breadth of experience from any of the multiple domains, including mathematics, data analytics, business operations, retail, finance, media buying, etc Critical Thinking Ability to approach challenges with structured thinking, utilizing logical frameworks to effectively solve complex problems. Naturally adept at dissecting issues and proposing practical, impactful solutions. Impact Passionate about e-commerce and eager to contribute to a high-performing team at the forefront of the industry. Highly motivated and hardworking, with a strong desire to learn, grow, and make a meaningful impact. Thrives in environments where they can see the direct results of their actions on the business, with a strong preference for roles that offer full accountability and autonomy. Results You will merge the Finance and Marketing sides of a business to build a forecasted strategy to help the business achieve its goal. Achieve certification and confidence in our ideology by the end of the kick off, enabling precise execution of the Prophet system to ensure top-quality results for clients. Consistently deliver high-accuracy performance within a 5% delta across the Prophet system’s Growth Map and Statlas. Lead and collaborate with your team to optimize productivity and maintain high-performance standards. Apply best practices in media buying to drive outstanding results, ensuring no one could achieve better outcomes in your role. Maintain client satisfaction levels above benchmark rates, aligning daily on forecasts to exceed client expectations. Adhere to rigorous quality standards in client feedback, forecasting, media buying decisions, and system execution. Meet all deadlines and budget requirements, ensuring timely and on Target Performance. Contribute valuable ideas to team discussions and company-wide content, supporting growth and innovation. DOMAIN MANAGEMENT Your supervisor would be Joy Sharma, The Director of the CTC Accelerator Program. You’ll report directly to Joy Sharma —a leader known for his relentless pursuit of excellence and an unmatched passion for growth strategy. Joy is a rare mentor, often described as the closest you’ll come to learning directly from Taylor Holiday himself. With a career built on his own rigorous, self-driven learning, Joy has transformed numerous team members into top-tier strategists, instilling in them the values of dedication, precision, and continuous improvement. Working under Joy's guidance will push you to your limits in the best possible way. He models the value of hard work, and learning from him feels like “drinking from a firehose”—you’ll absorb knowledge quickly and consistently, experiencing tremendous growth. Joy is committed to personally ensuring you reach your full potential as a Senior Media Buyer, supporting your journey every step of the way. ORIENTATION This role will be client-facing. WHAT’S IN IT FOR ME? SALARY RANGE First month: $2,000 Second month: $4,000 Third month (on average): $7,000 a month 1st Year Annual Range: $64,000-$76,000 2nd Year Annual Range: $100,000-$120,000 This will depend on the amount of clients and the quality of work. Growth, Transparency, and Fairness in Career Development Progress is Clearly Defined Depends primarily on your experience with the system & quality of execution against it. Following a well-defined path for the first 12 months and how exactly you can grow to be promoted to the next level. Fairness and transparency are prioritized Access a weekly performance dashboard to see exactly where you stand compared to team members on both objective and subjective metrics. Pay transparency is upheld for all team members With consistent contract terms and a clear roadmap for increasing earnings, ensuring everyone understands the path to greater compensation. We will also talk monthly about how you can progress. My Commitment to You: You will work harder, learn more than ever before, and “make more than you ever have.” You will gain a diverse skill set while actively contributing to the continuous development of new tools and improvements within our system. In doing so you will have an incredible opportunity for rapid career progression. We will continue to provide you mentorship through every step of your development in the role and promotion from it. We will then continue to provide feedback against the expectation and evaluate against it. Location & Environment Fully remote with the ability to pick your schedule. Embrace autonomy as a core value, with clear expectations, regular 1:1 feedback sessions, and measurable quality benchmarks to support personal growth. Exceptional work is recognized and rewarded, with weekly check-ins for accountability, ensuring you’re consistently challenged and engaged with new opportunities daily.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Lagos, Nigeria; Beograd, Serbia; Limassol, Cyprus; Belarus; Moscow, Russia We’re looking for a Head of Product (Digital Collection) to shape and scale our digital collection ecosystem - from strategy and analytics to automation and technology. Your mission will be to build data-driven tools, optimize collection processes, and enhance recovery efficiency through smart products and innovation. Key Responsibilities: Develop, implement, evaluate, and continuously optimize collection strategies, tools, methods, and analytical models. Define and manage key KPIs for the collection department to ensure sustainable portfolio growth and operational efficiency. Identify growth opportunities, design and run pilot projects, test and implement new strategies. Drive process automation across collection operations — manage, assess, and modernize technical systems, including telephony and robotic solutions. Deploy and refine collection scoring models to improve segmentation and recovery outcomes. Collaborate with external vendors and technology partners to identify, integrate, and implement innovative solutions. Analyze key performance indicators for collection and pre-collection, monitor delinquency trends, and identify deviations and growth points. Automate analytics and reporting, manage the KPI system, and oversee team performance evaluation and motivation within the collection department. Requirements 3+ years of experience in a similar leadership role within a bank, microfinance organization, or collection agency. Proven experience in designing, launching, and optimizing business processes in the debt collection domain. Experience implementing and maintaining automated collection systems (including configuration of robotic tools and telephony). Strong technical acumen: understanding of APIs, system integrations, backlog management, and task prioritization. Solid SQL knowledge and ability to work with databases to analyze and optimize collection strategies. Data-driven and systematic approach to collection management — capable of translating ideas into measurable results and vice versa. Benefits Opportunity: The opportunity to work in an innovative fintech company with a global reach Benefits: Competitive salary, paid vacations and additional day-offs Growth Potential: Accelerating your product leadership career in a high-growth, innovation-driven fintech. Purpose: Build tools that empower thousands of clients to thrive and suceed.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Poland; Ukraine; Georgia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. What you will do - Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking. - Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions. - Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences. - Contribute to analytical planning and ensure alignment with overall business objectives. - Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value. - Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives. What you bring - Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing). - Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation. - Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). - Experience leading or mentoring analytics teams and coordinating with business stakeholders. - Excellent communication skills, able to translate between technical and business perspectives effectively. - Solid understanding of business processes and data structures. - Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value. - Fluency in English for meetings with international clients. Nice to have - Hands-on experience with deep learning, computer vision, or generative AI projects. - Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. - Experience with data visualization or BI tools for communicating insights. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Dhahran, Saudi Arabia Eram Talent is seeking a knowledgeable Technical Construction Advisor to join our Advisory Services team. In this role, you will provide expert guidance and support to clients throughout the construction process, ensuring that projects are executed efficiently and effectively. As a Technical Construction Advisor, you will leverage your extensive experience in the construction industry to advise on best practices, technical specifications, and regulatory compliance. The selected resource will provide advisory support across construction project design, delivery, and execution for institutional-grade logistics facilities. The expected commitment is 2–3 days per week over a 12-month period. Responsibilities: Oversight and guidance throughout warehouse construction projects Technical review and recommendations during design and execution Advisory on turnkey construction design, procurement, and contracts Guidance related to 3PL operator requirements and operational efficiencies Provide technical advice and support on construction projects, ensuring adherence to best practices and standards. Evaluate project plans, specifications, and designs to identify potential issues and recommend improvements. Conduct site visits to assess construction progress and compliance with technical requirements. Prepare technical reports and documentation to support project decision-making. Requirements Bachelor's degree in Engineering or a related field. 15–20 years of experience in the design and delivery of institutional grade-A logistics facilities across EMEA and the GCC Strong knowledge of utilities, infrastructure, sustainability initiatives, and ESG compliance Proven experience working with turnkey construction design and contract structures Previous exposure to major 3PL operators, understanding their operational standards and facility requirements Excellent communication and interpersonal skills. Ability to work collaboratively with diverse teams and stakeholders. Strong problem-solving skills and attention to detail. Familiarity with project management methodologies is an advantage.

Location: Dhahran, Saudi Arabia; Mumbai, India; Delhi, India Eram Talent is actively seeking a knowledgeable and experienced Project Engineer (EPC) to join our team for a prominent company within the Engineering, Procurement, and Construction (EPC) sector. The ideal candidate will be responsible for managing and overseeing projects through all phases of the EPC process. This role will involve ensuring that projects are delivered on time, within budget, and in compliance with quality and safety standards. As part of ERAM Group, E-Talent is an independent Talent Acquisition Consultancy committed to connecting top-tier professionals with outstanding opportunities across various domains including Engineering, Oil & Gas, Infrastructure, and Construction. This is an exciting opportunity for an ambitious engineer to drive impactful projects within a dynamic environment. Responsibilities 1. Technology and Engineering Management 1.1 Assist the Project Manager in reviewing project basic engineering design documents, ensuring full compliance with Saudi Aramco design standards (e.g., SAES, SAMSS, SABP) and project specifications. 1.2 Coordinate design work across various disciplines (Process, Piping, Mechanical, Electrical, Instrumentation, Civil, etc.), chair or participate in key technical coordination meetings, and resolve interface conflicts and technical challenges during the design phase. 1.3 Manage the flow, approval, and archiving of project technical documents, ensuring the accuracy and completeness of all engineering deliverables. 1.4 Lead or participate in the technical evaluation of Technical Queries (TQs), Material Substitution Requests (SRM), and Change Requests (CRs), and follow up on the Saudi Aramco approval process. 2. Procurement and Supplier Coordination 2.1 Provide technical support to assist in the preparation of procurement technical specifications for key equipment and materials. 2.2 Participate in the technical bid evaluation of key suppliers. 2.3 Review technical documents submitted by suppliers (such as drawings, data sheets, calculation reports, ITP), ensuring they meet project requirements. 2.4 Coordinate the resolution of any technical issues arising during equipment manufacturing. 3. Construction and Pre-Commissioning Support 3.1 Provide comprehensive technical support to field construction, resolving technical challenges encountered during construction. 3.2 Review the technical feasibility of Construction Method Statements. 3.3 Manage engineering changes within the project scope, assess the impact of changes on cost, schedule, and technology, and strictly adhere to the change management process. 3.4 Participate in onsite system Mechanical Completion checks, ensuring installation work conforms to design intent and specifications. 3.5 Support pre-commissioning and commissioning activities by providing necessary technical documents and guidance. 4. Planning, Scheduling, and Reporting 4.1 Assist the Project Manager in developing and controlling the project's engineering schedule. 4.2 Prepare and submit weekly/monthly engineering technical progress reports to the Project Manager and the client (Saudi Aramco). 4.3 Identify and assess project technical risks and propose mitigation measures. 5. Compliance and Standards 5.1 Ensure all engineering activities strictly comply with Saudi Aramco's Health, Safety, and Environment (HSE) policies and procedures. 5.2 Ensure the entire project process conforms to Saudi Aramco's Quality Management System requirements. 6. Communication and Coordination 6.1 Act as one of the primary points of contact for daily technical communication with the client's (Saudi Aramco) engineers. 6.2 Effectively coordinate work between the internal design team, procurement team, construction team, and subcontractors. Requirements 1. Education and Professional Qualifications Bachelor's degree or higher, majoring in Petroleum Engineering, Chemical Engineering, Mechanical Engineering, or a related engineering field. Possession of PMP (Project Management Professional), Chartered Engineer, or equivalent certification is preferred. 2. Work Experience 2.1 Minimum 8-10 years of project engineering experience in the oil, gas, or petrochemical industry, including at least 5 years in a Project Engineer or similar technical coordination role on large-scale Saudi Aramco petrochemical EPC projects. In-depth understanding and practical experience with Saudi Aramco standards, processes, and culture are required. 2.2 Project experience in oil-gas separation, production enhancement, gathering and distribution stations, or similar upstream/midstream facilities is preferred. 3. Knowledge and Skills 3.1 Proficiency in at least one core engineering discipline (e.g., Process, Piping, or Mechanical) and familiarity with the fundamentals of other related disciplines. 3.2 Thorough understanding of the project lifecycle, from conceptual design to mechanical completion and commissioning. 3.3 Familiarity with international engineering standards (e.g., ASME, API, ANSI, IEC) and Saudi Aramco-specific standards. 3.4 Proficient in MS Office (especially Word, Excel, PowerPoint). 3.5 Proficient in project management software (e.g., Primavera P6 or MS Project). 3.6 Familiarity with common engineering design software and document management systems (e.g., SPF, Aconex). 3.7 Fluent in both English and Arabic, with both languages serving as working languages. 4. Core Competencies and Personal Attributes 4.1 Ability to communicate clearly and effectively with technical experts, management, and clients. 4.2 Ability to analyze complex problems under pressure and propose practical solutions. 4.3 Ability to lead cross-functional teams in resolving technical issues, even in the absence of direct reporting lines. 4.4 Capable of managing multiple tasks and large volumes of technical information simultaneously. 4.5 Adaptability to fast-paced, high-demand project environments, and ability to navigate cultural differences and work challenges. 4.6 Strong sense of responsibility and commitment to achieving project goals. Benefits Job Location: Ningbo, China & Saudi Haradh Contract Period: 1 to 3 years depending on the project and performance. Visa: Business visa will be provided by the Client.

Location: San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient Create reusable platforms and tools that accelerate the development of new research applications Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration Contribute to technical strategy and architectural decisions for research tooling Mentor other engineers and help establish best practices for research application development You may be a good fit if you Have 5+ years of software engineering experience with a strong focus on full-stack development Excel at rapid iteration and shipping—you can move from concept to working prototype quickly Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) Demonstrate high agency and ability to operate independently in ambiguous environments Can quickly develop deep understanding of complex technical domains Have strong product instincts and can identify the right problems to solve Are proficient with modern web technologies (React, TypeScript, Python, etc.) Have a track record of building user-facing applications that are actually used and loved by their target audience Communicate effectively with both technical and non-technical stakeholders Care about the societal impacts of your work and are motivated by Anthropic's mission Strong candidates may also have Experience building research tools, scientific software, or experimentation platforms Background in machine learning, AI research, or working closely with ML researchers Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools Built open-source tools or platforms with active user communities Experience with data visualization, interactive interfaces, or novel interaction paradigms Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products) Experience leveraging AI/LLMs to build more powerful or efficient tools Previous work in creative tools, artist tools, or other domains requiring deep user empathy Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment Representative projects Building interfaces for collecting and managing human feedback on model outputs at scale Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs Developing visualization tools that help researchers understand model behavior and identify failure modes Designing reusable components and frameworks that enable rapid development of new research applications Building sandboxed execution environments for safely running AI-generated code 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 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists . If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply. About the Interpretability team When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our vision post ). We have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our most recent work , we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. A few places to learn more about our work and team are this introduction to Interpretability from our research lead, Chris Olah, Stanford CS25 lecture given by Josh Batson, and TWIML AI podcast with Emmanuel Ameisen. Some of our team's notable publications include and our Circuits’ Methods and Biology papers, Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet , Towards Monosemanticity: Decomposing Language Models With Dictionary Learning , A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , and Toy Models of Superposition . This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . About the role As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally. Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline. If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our Research Scientist or Research Engineer roles instead. Key responsibilities Partner with a research lead on direction, project planning and execution, hiring, and people development Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively Coach and support team members to have more impact and develop in their careers Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing Help identify and support opportunities for collaboration with other teams across Anthropic Communicate team updates and results to other teams and leadership Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams Have a background in machine learning, AI, or a related technical field Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles Have strong project management skills, including prioritization and cross-functional coordination and collaboration Have managed technical teams through periods of ambiguity and change Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research Are a strong communicator both in speaking and in writing Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well Strong candidates may also have Experience scaling engineering infrastructure Experience working on open-ended, exploratory research agendas aimed at foundational insights Some familiarity with our work and mechanistic interpretability Role-Specific Location Policy This role is expected to be in our SF office for 3 days a week. 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: $350,000 — $500,000 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: ASTORIA GRANDE, Worldwide ISMIRA Agency is hiring GALLEY UTILITY for ASTORIA GRANDE cruise ships! ASTORIA GRANDE invites Russian-speaking employees to join its team to work on a cruise ship to Turkey and Egypt with departure from Sochi to the shores of the Black, Aegean, Marmara and Mediterranean Seas. Astoria Grande visits the unique ports of the Turkish coast — Istanbul, Cesme, Amasra, Sinop, Trabzon, Ordu, Izmir, Kusadasi, and also stops at the largest port of Egypt - ancient Alexandria, and in the new season also in the beautiful ports of Greece. POSITION SUMMARY: The Galley Utility assists the Sanitation Officer in managing execution and compliance of proper Garbage handling procedures and SHIP-SAN practices onboard to ensure company, divisional and ship performance objectives set forth by the company are met and/or exceeded by performing the following essential duties and responsibilities personally. WHAT COMPANY OFFERS: Opportunity to travel to the ports of Turkey, Egypt and Greece Free meals and accommodation The ticket is at the expense of the employer The contract is 6-7 months The salary is paid in euros. A bonus system for rewarding employees, as well as tips No visa required REQUIREMENTS: Age 18+ Recruitment is conducted from the following countries: Armenia, Azerbaijan, Belarus, Georgia, Moldova, Russia, Uzbekistan, Kazakhstan, Kyrgyzstan. Fluency in Russian is mandatory Knowledge of English - from intermediate depending on the position (knowledge of English is pre-intermediate for basic positions, fluency in both Russian and English is required for higher and administrative positions) A full package of STCW certificates and a seafarer's passport/seafarer's identity card are required. Sound knowledge of SHIP-SAN standards, monitoring, recording, operating procedures and practices. Ability to work well under pressure and in a constantly challenging environment. RESPONSIBILITIES: In accordance with the company’s rules and regulations, he/she conducts in a professional and courteous manner at all times. This consists of physical and verbal interactions with guests or fellow shipboard employees and/or in the presence of guest contact and when in crew areas. Supports the Sanitation Officer in planning, organizing, controlling, and evaluating the Health, Hygiene and Sanitation standards. Accomplishes the targets set forth by the company by following instructions given by the management. Maintains effective internal communications, teamwork and productivity. Continually encourages successful working practices by physically participating to the ship’s operation according to needs and as required by the management. Keep the Sanitation Officer informed of all pending issues that require cooperation or immediate attention. Ensures that the amount of chemicals, consumables and PPE (Personal Protective Equipment) necessary for best sanitation and cleaning practices are available. Enforce best practices for proper equipment handling and maintenance. Responsible to minimize breakages, proper handling of utensils and avoid wastage. Ensures that Chemicals are being handled properly, labeled and stored in the assigned lockers. Ensures that all soap and towel dispensers are filled up and monitors cleanliness and maintenance conditions of the Galley Toilets. etc. The number of spots is limited! Send us your RESUME here via the APPLY TO POSITION button Last update:  14 декабря 2024

Location: ASTORIA GRANDE, Worldwide ISMIRA Agency is hiring GALLEY UTILITY NO 1 for ASTORIA GRANDE cruise ships! ASTORIA GRANDE invites Russian-speaking employees to join its team to work on a cruise ship to Turkey and Egypt with departure from Sochi to the shores of the Black, Aegean, Marmara and Mediterranean Seas. Astoria Grande visits the unique ports of the Turkish coast — Istanbul, Cesme, Amasra, Sinop, Trabzon, Ordu, Izmir, Kusadasi, and also stops at the largest port of Egypt - ancient Alexandria, and in the new season also in the beautiful ports of Greece. POSITION SUMMARY: The Galley Utility No 1 assists the Sanitation Officer in managing execution and compliance of proper Garbage handling procedures and SHIP-SAN practices onboard to ensure company, divisional and ship performance objectives set forth by the company are met and/or exceeded by performing the following essential duties and responsibilities personally. WHAT COMPANY OFFERS: Opportunity to travel to the ports of Turkey, Egypt and Greece Free meals and accommodation The ticket is at the expense of the employer The contract is 6-7 months The salary is paid in euros. A bonus system for rewarding employees, as well as tips No visa required REQUIREMENTS: Age 18+ Recruitment is conducted from the following countries: Armenia, Azerbaijan, Belarus, Georgia, Moldova, Russia, Uzbekistan, Kazakhstan, Kyrgyzstan. Fluency in Russian is mandatory Knowledge of English - from intermediate depending on the position (knowledge of English is pre-intermediate for basic positions, fluency in both Russian and English is required for higher and administrative positions) A full package of STCW certificates and a seafarer's passport/seafarer's identity card are required. Sound knowledge of SHIP-SAN standards, monitoring, recording, operating procedures and practices. Ability to work well under pressure and in a constantly challenging environment. RESPONSIBILITIES: In accordance with the company’s rules and regulations, he/she conducts in a professional and courteous manner at all times. This consists of physical and verbal interactions with guests or fellow shipboard employees and/or in the presence of guest contact and when in crew areas. Supports the Sanitation Officer in planning, organizing, controlling, and evaluating the Health, Hygiene and Sanitation standards. Accomplishes the targets set forth by the company by following instructions given by the management. Maintains effective internal communications, teamwork and productivity. Continually encourages successful working practices by physically participating to the ship’s operation according to needs and as required by the management. Keep the Sanitation Officer informed of all pending issues that require cooperation or immediate attention. Ensures that the amount of chemicals, consumables and PPE (Personal Protective Equipment) necessary for best sanitation and cleaning practices are available. Enforce best practices for proper equipment handling and maintenance. Responsible to minimize breakages, proper handling of utensils and avoid wastage. Ensures that Chemicals are being handled properly, labeled and stored in the assigned lockers. Ensures that all soap and towel dispensers are filled up and monitors cleanliness and maintenance conditions of the Galley Toilets. etc. The number of spots is limited! Send us your RESUME here via the APPLY TO POSITION button Last update:  14 декабря 2024

Location: Rome, Italy; Lisbon, Portugal; Berlin, Germany; Paris, France; Madrid, Spain Müller's Solutions, a forward-thinking technology consulting firm, is seeking a knowledgeable BMC Helix Process & ITSM Analyst / Workflow Engineer to join our dynamic team remotely. With a strong commitment to delivering exceptional IT service management solutions and optimizing business processes, Müller's Solutions provides organizations with the tools and expertise needed to achieve operational excellence and improved service delivery across various sectors. In this role, you will focus on analyzing, designing, and implementing workflows and processes within the BMC Helix ITSM platform. Your expertise will enhance the functionality and user experience of our IT service management tools, ensuring effective alignment with business objectives and industry best practices. Key Responsibilities: Analyze existing processes and workflows within the BMC Helix ITSM platform to identify opportunities for improvement and optimization. Design and implement efficient workflows that streamline IT service management processes, enhancing overall productivity and service quality. Collaborate with stakeholders to gather requirements and ensure that solutions align with organizational needs and objectives. Conduct training sessions and develop comprehensive documentation to support users in effectively leveraging workflow tools. Monitor and evaluate the performance of implemented workflows, making adjustments and enhancements as necessary. Stay updated with the latest industry trends, technologies, and best practices related to ITSM and workflow management. Requirements Bachelor's degree in Computer Science, Information Systems, or a related field. 3-5 years of experience in IT service management, specifically with BMC Helix or similar ITSM platforms. Strong understanding of workflow design, process mapping, and optimization techniques. Proficient in analyzing business requirements and translating them into technical specifications. Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders. Proven problem-solving skills and a proactive approach to identifying and resolving issues. Ability to work collaboratively in a remote, fast-paced, team-oriented environment. Certifications in ITIL or other ITSM methodologies are a plus.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Research Engineer , you will be an integral member of a systematic trading team comprised of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative modeling. You will be surrounded by cutting edge technology, mentored by industry-leading engineers, offered training and continuing education opportunities, and given immediate responsibility.  We are looking for quantitatively minded people who are creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business. How you will make an impact: Work with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets. Design trading strategy simulation software optimized for distributed computation Develop software for large scale data acquisition, storage, accessibility, and visualization Create user interfaces for data exploration and post trade analysis Accelerate the research lifecycle from strategy prototype to production deployment Evaluate new technology and improve our technology stack What you bring to the team: Bachelor’s degree in Computer Science, Computer Engineering, or related field Excellent software development skills in modern C++ and Python A strong understanding of object oriented design, data structures and algorithms A strong understanding of quantitative finance mathematics A solid foundation in programming with the ability to think, communicate, and code clearly A solid understanding of computer systems at every level of abstraction (hardware, OS, memory, network) Skills in multi‐threaded applications An understanding of how to build software for long term use and broad adoption Demonstrated ability to produce algorithmic code in a fast-paced environment The annual base salary range for this position is $175,000 to $225,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1