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Location: Istanbul Workplace: onsite The international technology company Ajax Systems opens a full-cycle production facility in Türkiye. Ajax Systems is the largest developer and manufacturer of security systems in Europe. The back office, R&D department, and two full-cycle production facilities are located in Ukraine. The company has branch offices worldwide: UAE (Dubai), Italy, Spain, Germany, Poland, Canada, and many other regions. Ajax team has more than 2,200 employees, including 500 developers and 1,200 production workers. Attracting local expertise in each key market enables us to scale the product globally and grow fast.   Location    : Istanbul/Tuzla, DESBAS Responsibilities Manage, direct, and assign daily tasks to storekeepers and assistants who receive, store, and release goods, Organize loading and unloading operations in the warehouse in strict compliance with Occupational Health and Safety (OHS), industrial hygiene, and fire protection regulations, Control the allocation of material assets (MA) in the warehouse to ensure the most rational use of space, facilitating and accelerating the identification of necessary materials to prevent dispatch delays. Oversee the receipt of material assets (MA) into the warehouse; organize verification of the number of cargo spaces, weight, volume, integrity of contents, and completeness against accompanying documents, Ensure the efficient processing of requests for the release, picking, and completion of shipments, Monitor packaging quality for transportation and create procurement requests for necessary packaging materials, Participate in developing and implementing measures to optimize warehouse management and improve overall efficiency. Prepare, record, and process income, expenditure, production, and other warehouse documents for receiving and releasing inventory, Ensure all original documents from suppliers, contractors, and other company departments are received and processed properly, Check that the party receiving the inventory holds all required documents in the established form, Prepare established periodic reports, control their accuracy, and submit them to management on time, Participate in conducting regular inventory counts (stocktaking) and preparing relevant documents. Bear full material responsibility for ensuring the proper storage, safety, and security of all material assets, preventing damage, theft, loss, or other incidents in the warehouse. Qualifications Bachelor's Degree (Preferably in Logistics, Supply Chain, or related fields), At least 1 year of work experience in warehouse management, stock control, or senior warehouse operations, Proficiency in warehouse programs (1C - Accounting or similar ERP systems) and MS Office applications (especially Excel), Good command of English and Turkish (both written and spoken), Knowledge of electronic component base (resistors, transistors, etc.), Strong knowledge of regulatory and methodological materials on warehouse management, standard storage conditions, packaging rules, and Occupational Health and Safety (OHS) procedures, Advanced reporting skills and experience in professional business correspondence, Leadership, coordination, and motivation skills to effectively manage storekeepers and storekeepers' assistants, Strong communication skills, with the ability to remain calm, professional, and solution-oriented in conflict or crisis situations, Ability to take initiative and make independent decisions.

Location: Barcelona, Catalonia Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5,000 specialists.   We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Norway, Sweden, Denmark, Finland, Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa, and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.   The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection, and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.   Ajax Systems production includes 4 factories, 2 of which are located in Ukraine, 1 in Turkey, and 1 in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Personality profile: 3+ years of experience in the electronic security industry or a similar industry. Proven sales experience in the Catalonia region. Strong technical knowledge of electronic security systems, including access control, video surveillance, intrusion detection, or fire alarm systems. Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals. Developing and implementing successful sales strategies. Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level. Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions. Ability to manage and prioritize multiple projects and tasks simultaneously. Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions, IoT, and AI-based analytics. A strong combination of technical knowledge, sales expertise, and strong communication skills. Responsibilities: Develop and implement a strategic business development plan in Spain, aligned with company objectives and market trends. Identify, evaluate, and onboard new distributors and partners across the region, ensuring coverage in key markets and verticals. Identify and pursue new business opportunities that align with the company's growth strategy. Develop and maintain relationships with key clients, partners, and stakeholders. Conduct market research to identify new trends, opportunities, and potential risks. Analyze market data to develop and execute effective sales strategies. Collaborate with cross-functional teams to ensure successful delivery of products and services. Prepare and deliver presentations to potential clients and partners. Negotiate contracts and agreements with clients and partners. Manage and prioritize multiple projects and initiatives simultaneously. We offer: Competitive compensation that includes a base salary and performance-related bonuses. A product that sells itself. Freedom to make decisions and implement ideas. A zero bullshit culture. A strong and well-coordinated team of professionals. Ambitious tasks and challenges. Opportunity to work with the most recognized security system and develop your career. Car allowance and all business expenses and work tools are covered by the company. We are working to ensure that people's lives are calm and the world safe. Let's become a part of the team that creates in Ukraine a smart and useful global product.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the open-source Postgres development platform. 10M+ developers and thousands of enterprises depend on it every day. Database, Auth, Storage, Edge Functions, Realtime and Vector Search run on one platform: the same compute, disks, network and control plane, in each region we operate. Supabase's hardest problems live in that platform. We run millions of databases, and the count compounds each quarter. Our customers range from a developer on a free project to a regulated enterprise that routes traffic through PrivateLink https://supabase.com/docs/guides/platform/privatelink and puts us through a security review before it signs. Reliability, capacity, cost, security and the enterprise features that close deals all come back to the same primitives. We're hiring a Product Lead to own them and build the product team behind them. ABOUT THE ROLE You lead product for the platform under every Supabase product: compute, disks, networking, the API gateway, capacity and regions. You also own what enterprises build and buy on top of it: read replicas https://supabase.com/docs/guides/platform/read-replicas, custom domains https://supabase.com/docs/guides/platform/custom-domains, PrivateLink, Bring Your Own Cloud, and the security and compliance controls they need before they sign. You report to the Head of Product, set direction for the platform, and work alongside the leads for our other product lines. You lead the platform's product managers, including our infrastructure product lead, and you hire and develop the PMs who grow the team. WHAT YOU'LL BE RESPONSIBLE FOR: - You build and lead the platform product team. You decide how to split the area, hire the PMs who own the rest of it, and coach them to own their roadmaps end to end. You set the bar for their work. - You decide what gets built, what gets deferred, and what gets cut. Each quarter you choose between enterprise unlocks that open new markets, cost and performance wins for the long tail of projects, and new capabilities that change what Supabase can run. The priorities are yours, and so is defending them. - You own reliability and security as product surfaces. You set service levels that track what customers experience and hold teams to them. You decide which security and compliance commitments we make to enterprises, and you show customers what it takes to run millions of databases. - You talk to customers across the full spectrum: developers running one small project, startups whose bill is mostly compute and disk, enterprise architects running a network or security review, and partners building on Supabase. - You run the platform's planning. Your PMs write problem statements, requirements and launch metrics before engineering starts. After each launch, you check whether it moved enterprise deal velocity, project economics or platform reliability. - You keep engineering, design and leadership aligned. The platform sits under each Supabase product, region and customer tier. You write down what's coming, why, and in what order, and you raise dependencies before they block anyone. YOU MIGHT BE A GOOD FIT IF YOU: - Have 8+ years of product management experience on developer tools or infrastructure, or have founded a company in this space. You can read an architecture doc and hold your own in a design discussion. - Have built and led a team of product managers. You've hired PMs, grown them into owners of their own areas, and made the hard call when someone wasn't working out. You've led leads who run their own teams. You did it while the product grew from something you could hold in your head to a business where capacity, regions and cost set the limits. - Have shipped cloud infrastructure as a product. You owned at least one of compute, networking, storage, or multi-region and multi-tenant systems yourself, at a cloud, infrastructure or PaaS company. You can judge the tradeoffs: instance sizing and capacity, disk and storage economics, scale-to-zero versus always-on, single-tenant versus shared, and the gap between "works in one region" and "works in twenty." Knowing how enterprises buy and security-review infrastructure (PrivateLink, BYOC, compliance, procurement) is a bonus. - Move fast and use AI to do it. You'd rather ship something imperfect and learn from it. You hand AI the slow parts of the job (research, drafting, synthesising feedback) and spend your time on judgment calls. - Build with what you own. You stand up a read replica, put a custom domain in front of a project, route traffic through PrivateLink and deploy onto BYOC. Your opinions come from using the product. - Work async by default. We're fully remote. You make decisions in writing and move work forward without meetings. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Dhahran, Saudi Arabia Eram Talent is seeking a qualified Oil & Gas Training Instructor (Operations) to lead and deliver comprehensive training programs within the oil and gas sector in Saudi Arabia. The ideal candidate will have extensive knowledge of oil and gas operations and proven experience in training and development, ensuring operational excellence and workforce competency. In this role, you will design, develop, and conduct training sessions tailored to operational staff, focusing on industry best practices, safety standards, and efficiency improvements. Responsibilities Develop and deliver training programs related to oil and gas operations. Assess training needs and tailor programs to meet organizational requirements. Use a variety of instructional techniques and formats, such as simulations, hands-on workshops, and e-learning. Evaluate trainee progress and provide constructive feedback to enhance learning. Ensure all training materials comply with industry standards and regulations. Collaborate with operational teams to align training content with current practices and challenges. Maintain training records and documentation for auditing and compliance purposes. Requirements Bachelor’s degree in Chemical Engineering, Petroleum Engineering, Operations Management, or a related field. IELTS / TOEFL is strongly preferred. Minimum 7 years of practical experience in oil and gas operations. Proven experience as a training instructor or facilitator, preferably within the oil and gas industry. Familiar with : - Oil and Gas operations - Petrochemical Chemical - Plant Control - Oil Separation - Refinery Operator - Control Man - Terminal - Fractionation - Hydrogen - Isomerization - Tank Farm - Console Operator - Water Treatment - Well Services - Wireline - Well Completion - Start-up - Shut Down

Location: Georgia; Poland; Cyprus; Serbia; Kazakhstan; Uzbekistan We are looking for a highly organized and detail-oriented finance professional with 3+ years of experience in FP&A or financial controlling to support our FP&A team. The role requires strong ownership of reporting deliverables and transactional quality control, with advanced Excel/Google Sheets and PowerPoint skills to drive management reporting, AP process and ensure high data quality. The ideal candidate demonstrates exceptional attention to details, strong communication skills, and the ability to consolidate and analyze data from multiple systems, detect issues, and convert numbers into clear insights for management. Responsibilities • Work closely with Accounting, Reporting, Tax and Financial Controllers to support the monthly management reporting close by cleansing, validating, and consolidating data from diverse sources (ERP, procurement system, and cross-functional inputs). • Own procure-to-pay monitoring for assigned entities: track requests/payments, resolve issues, and ensure complete audit/tax/reporting documentation through rigorous compliance checks (contract terms, allocation, classification) in coordination with process stakeholders. • Maintain financial data integrity across complex Google Sheets models, ensuring critical financial data is accurate and accessible for the wider Finance team. • Build high-quality reports and presentations for leadership (PowerPoint storytelling, dashboards, clear takeaways). • Partner with stakeholders across the business to gather timely inputs for short-term forecasting cycles. • Prepare supporting calculations (e.g., intercompany charges) and incorporate them into reporting and forecasting to support financial decision-making. • Proactively optimize processes by identifying data "pain points" and support implementation of scalable solutions to continuously improve data quality and reporting efficiency Requirements • A solid foundation in finance with a deep understanding of core financial statements (P&L, BS, CF) under IFRS. • Experience working with ERP systems is a must; procurement software experience is a plus. • Exceptional attention to detail to drive the AP process with high accuracy and a meticulous approach to work, driven by a commitment to high-quality results. • Basic understanding of financial documentation (invoices, contracts, closing documents). • Advanced Excel & Google Sheets skills to work with complex tables and models, including large datasets with strong data discipline. • A 'Visual-architect' mindset with excellent PowerPoint skills to create clean executive-level decks with comprehensive storytelling, charts, and structured narratives. Basic PowerBI experience is a plus. • Proactive mindset with an interest in improving and streamlining finance processes. • Outstanding communication skills and ability to collaborate with different stakeholders across the business. • Fluency in English (written and spoken) with the ability to present financial insights clearly to diverse stakeholders. Benefits Diverse range of tasks. Great challenge with fast feedback loops. Remote from anywhere in the world. Access any of our global offices anytime. Flexible schedule. 40 paid days off.

Location: Home based - EMEA; Office Based - London, UK The role of an Accounts Payable Clerk at Canonical We have an exciting opportunity for an Accounts Payable Clerk to join our growing team. If you are passionate about the technology industry and want to work for a company that aligns with your interests, we might be the place for you! Canonical, and our world class Ubuntu product, attracts some of the leading talent from around the world. Come and work with exceptional people and kick start your career in Finance! Our Finance team is growing and it's a really exciting time to join the team. We are looking for bright, truly motivated people who have a passion for making a difference. You will be seeking an opportunity to drive process improvements and change, input your ideas, grow your career and truly contribute to the team. Your role will include ensuring accuracy of the A/P ledgers, process supplier invoices in a timely and accurate manner, prepare supplier payments, deal with queries effectively and efficiently and maintain compliance with processes and procedures. You will learn the fundamentals of how finance works in an organisation. In return we will provide you with ample opportunity for career development including offering you with support for continuing education and the pursuit of professional Accounting certifications. You will report directly to our Global Controller who will help you develop into the role and guide you through your learnings. A day in the life of an Accounts Payable Clerk Maintain accuracy of our A/P ledgers and reconciliation of accounts Manage our vendor data (names, addresses, etc.), validate and gain approval for new accounts, and maintain our audit record of vendor data changes and approvals Process our supplier invoices in a timely and accurate manner, including entry of invoices into accounting systems and maintain our files in a tidy and organised manner Prepare our supplier payments in line with the payments timetable and presented for approval in a clear and organised format Identify payments properly withheld, monitored and released when approval given Help with our month end processes: prepayments, accruals, bank reconciliations and balance sheet reconciliations Resolve questions/issues, escalating when appropriate in a timely manner Maintain compliance with processes and procedures, recommend corrective action when identified and maintain suitable records to demonstrate compliance What you will bring to the role Exceptional education achievements in an Accounting or Finance subject Excellent spreadsheet skills, including pivots, look ups etc. Excellent attention to detail, with great organisation skills and the ability to meet deadlines Great communication skills that you will use when connecting directly with our customers A passion for the world of Finance with ambition to progress your career Experience using an exterprise level accounting system What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: New York City, NY; San Francisco, CA | New York City, NY 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 As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth. Key responsibilities Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration Minimum qualifications Proficiency in Python, SQL, and data visualization tools Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences Strong written communication and presentation skills Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists Preferred qualifications 5+ years of experience in data science or analytics roles A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Genuine interest in Anthropic's mission of developing safe and beneficial AI 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: $285,000 — $380,000 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. 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: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Do you spend your time thinking about how different game mechanics can come together to create emergent, dynamic, and frankly hilarious social moments? Are you excited to make gameplay that strongly cares about player intention, action game feel, and expressive communication? We are seeking a highly technical, creative, and team-oriented contract Staff Gameplay Designer to contribute a new multiplayer action game on teamLFG. You will work closely with the entire Design Team prototyping, exploring, and implementing player avatars and their suite of verbs for the social area of a competitive PvP game. You will collaborate with team members from other disciplines to drive cohesive gameplay vision. You will help build the systems that enable our game to become a third place. Most importantly, you will work with a fun, dedicated, and cross-disciplinary team devoted to turning a creative dream into a new franchise at PlayStation. RESPONSIBILITIES • Build and maintain the avatar movement and core sandbox systems that enable cooperative social gameplay and player expression, while building trust between players • Build the systems to allow for avatar customization, creating extensible opportunities for player investment and a progression economy, as well as player self expression and customization • Build compelling gameplay experiences through reusable sandbox mechanics, especially 3C (Character, Camera and Controls) design and implementation • Create endearing NPCs that improve IP quality, consistency, along with sandbox design principles • Work with audio, effects, and animation to clearly communicate gameplay affordances to players REQUIRED SKILLS • Understanding of how modern multiplayer social games can leverage an intuitive and expressive action sandbox to create memories between players • Fluency for collaboration with designers, artists, programmers, audio professionals, quality assurance and producers to achieve a common goal, with adaptability for how to work in a flexible work environment • Broad T-shaped rapid prototyping skills, with enough multi-disciplinary knowledge to quickly stub out gameplay ideas to evaluate their potential • Strong technical scripting skills and understanding of how to structure game design tools to unlock player expression, content variety, and execution speed • Strong understanding of character motion and animation; momentum, timing, and their impact on player communication and tone • Proven ability to build alignment and productively own feature direction without sacrificing empathy and collaboration with team contributors • Ability to operate autonomously and handle ambiguity, including giving and receiving feedback despite that ambiguity • Ability to create plans and evaluate them for meeting the experiential needs of the players and markets • Outstanding oral and written communication skills • Demonstrated understanding of how systemically consistent, combinatoric game design can create player surprise and laughter Bachelors degree or equivalent PREFERRED EXPERIENCE • Experience as a Staff Sandbox/Gameplay Designer on AAA or large-scale online action games, designing, documenting, and building character customization systems • Experience delegating work or ownership of an area to multi-disciplinary peers • Experience with social/cooperative game design and balancing for an active player base At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $76 — $115 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Engineering Team Lead to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap, balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews, pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring, onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency, reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills: 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements: Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Backend Engineer(Go) to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs, ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance, reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements: Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding. Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment. What you'll do Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer. Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration. Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value. Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI. Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt. Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D. Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions. Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable. Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact. What you'll bring A Technologist at Heart - Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them. Competent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently. AI & LLM Technical Depth - Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design. Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost. Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when. AI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns. Systems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask "what's actually blocking flow here?" before asking "what model should I use?" Business System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential. Broad Functional Understanding - Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs. End-to-End Ownership - Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently. Product Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes. Preferred requirements Experience with GitLab platform and CI/CD workflows Background in consulting, solutions engineering, or customer-facing technical roles Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development Previous startup or high-growth company experience Experience mentoring or leading technical projects with junior engineers About the team You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers. We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $108,400 — $129,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: South Africa About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor About the company Our client is an innovative AI-driven media agency at the forefront of the creator economy and digital marketing space. Specializing in cutting-edge generative technology, the team develops sophisticated AI digital twins for high-level business owners, coaches, and consultants. Their proprietary systems automate the entire content lifecycle—from video production to multi-channel distribution—enabling global leaders to scale their online presence and lead generation without the need for constant filming. With over 1,000 successful implementations, this fast-growing company is redefining how professional expertise is packaged and delivered across social platforms and digital education. The team is driven by a mission to eliminate the friction of content creation through advanced automation and realistic synthetic media. Candidates will join a results-oriented, forward-thinking environment that thrives on innovation, technical excellence, and high-impact digital transformation for a diverse range of international industries. Job Summary We are looking for a high-caliber Client Success Manager to become the operational heartbeat of a rapidly growing creative agency. Our team is at the forefront of the AI revolution, producing hyper-realistic digital clones for high-profile business owners to scale their social media presence. As we expand, we need a seasoned professional to take full ownership of the client journey. This isn’t a support role; it is a leadership position where you will bridge the gap between clients and our production team, and build the processes that will define our future. If you are an experienced CSM who thrives in fast-paced, founder-led environments and is excited by AI-driven content, we want to hear from you. Key Responsibilities Act as the primary, proactive point of contact for all clients via WhatsApp, Slack, and email, ensuring no query goes unanswered. Own the end-to-end client onboarding process, setting clear expectations and establishing trust from day one. Manage high-volume content delivery schedules, coordinating between internal virtual assistants, editors, and copywriters to meet deadlines. Perform rigorous quality control on all AI-generated video outputs to ensure brand consistency and technical excellence before delivery. Oversee social media scheduling across platforms including Instagram, Facebook, and YouTube Shorts. Identify operational bottlenecks and create SOPs to move the business toward a more mature, scalable infrastructure. Proactively monitor account health, identifying and resolving potential retention risks before they escalate. Requirements Proven experience as a Client Success Manager, Account Manager, or Delivery Manager, specifically within a marketing or creative agency. Exceptional professional English (written and spoken) with the ability to manage client expectations with authority and empathy. High-level organizational skills with the ability to track multiple deliverables across 20+ active accounts simultaneously. Demonstrated reliability and a commitment to a full-time, dedicated role; we are looking for a long-term partner, not a freelancer with multiple projects. Technical comfort and curiosity; you must be willing to dive into AI tools like HeyGen and ChatGPT as part of your daily workflow. A "builder" mindset—the ability to take ownership of an operationally immature business and implement structure without constant direction. Ability to handle difficult conversations professionally and de-escalate client concerns independently. Direct experience with AI video generation tools or short-form video content agencies. Proficiency in Notion for project tracking and documentation. Experience working directly with founders in early-stage, fast-moving companies. Background in personal branding or social media strategy for professional sectors (e.g., Real Estate, Medical, Finance). Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Opportunity to lead in the cutting-edge AI content space 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are seeking an innovative QA Automation Engineer to join our Navy Department to collaborate within Scrum teams across our Core and Sales focus areas. As a QA Automation Engineer at Creatio, you will oversee the full testing cycle, from testing strategy planning and risk analysis to testing execution, and quality control processes within our team. Our company’s tech stack: Playwright, sitespeed.io, Jenkins, TeamCity, Postman, Axios, JMeter, Docker, GitLab CI/CD, REST APIs. The role is based in Ukraine and Poland.Team composition: 3 Developers, 1 QA, 1 Technical Lead, 1 Agile Coach, 1 Product OwnerResponsibilities:Create and maintain E2E automated tests with Playwright (in TypeScript)Perform exploratory and manual testing for new features and complex workflowsCover UI/API/business logic scenariosWork closely with developers and analysts to identify edge cases and improve test coverageContribute to improving our QA processes, tools, and reportingRequirements:Knowing testing techniques and applying them.Excellent analytical skills and the ability to quickly understand how the product works.Experience with web UI testing, E2E test scenarios, and API testingUnderstanding the principles of web application operation.Willing to thoroughly investigate issues (read logs, SQL, Fiddler, IIS, Redis, etc.). Experience working with JIRA and Test Management tools like Zephyr, TestRail or their counterparts.Experience with version control systems: Git and SVN; knowing JavaScript/TypeScript. Will be a plus: Experience conducting load testing of web applications; Experience with Continuous Integration tools: TeamCity, Jenkins; Test automation experience: Selenium WebDriver, Cucumber, Chai, Mocha, Selenoid/Selenium Grid; Understanding the principles of OOP.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: We are seeking an innovative QA Automation Engineer to join our Ember Department for collaborating within Scrum teams across our AI and No-Code focus areas. As a QA Automation Engineer at Creatio you will oversee the full testing cycle, from testing strategy planning and risk analysis to testing execution, and quality control processes within our team. Our company’s tech stack: Playwright, sitespeed.io, Jenkins, TeamCity, Postman, Axios, JMeter, Docker, GitLab CI/CD, REST APIs. The role is based in Ukraine and Poland. Team composition: 3 Developers, 1 QA, 1 Technical Lead, 1 Agile Coach, 1 Product Owner Responsibilities: Create and maintain E2E automated tests with Playwright (in TypeScript) Perform exploratory and manual testing for new features and complex workflows Cover UI/API/business logic scenarios Work closely with developers and analysts to identify edge cases and improve test coverage Contribute to improving our QA processes, tools, and reporting Requirements: Knowing testing techniques and applying them. Excellent analytical skills and the ability to quickly understand how the product works. Experience with web UI testing, E2E test scenarios, and API testing Understanding the principles of web application operation. Willing to thoroughly investigate issues (read logs, SQL, Fiddler, IIS, Redis, etc.). Experience working with JIRA and Test Management tools like Zephyr, TestRail or their counterparts. Experience with version control systems: Git and SVN; knowing JavaScript/TypeScript. Will be a plus: Experience conducting load testing of web applications; Experience with Continuous Integration tools: TeamCity, Jenkins; Test automation experience: Selenium WebDriver, Cucumber, Chai, Mocha, Selenoid/Selenium Grid; Understanding the principles of OOP. What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.     Why This Role Is Important to Arcadia  Arcadia's data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce. This is a hybrid role — deeper SQL and DBT expertise than a traditional Data Health Professional, with a more analytical and model-focused scope than a Data Engineering role. You're less focused on pipeline infrastructure and more on the logic, shape, and trustworthiness of the data itself.   What Success Looks Like In 3 months Independently triage and resolve pipeline data quality issues Author at least one new DBT model or refactor an existing one to meet current modeling standards Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer In 6 months What You'll Be Doing DATA MODELING & DBT DEVELOPMENT Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver Help clients understand their data model, assumptions, and limitations through intentional validation Troubleshoot and fix issues, then write DBT tests to catch issues proactively Optimize SQL performance for slow-running jobs Partner with Data Engineering on table design, partition strategy, and incremental patterns DATA QUALITY OWNERSHIP Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks) Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings CROSS-FUNCTIONAL QUALITY COLLABORATION Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores Contribute to and enforce data modeling standards across teams TECHNOLOGIES Data modeling: DBT-Spark, SQL, Claude Warehousing: Amazon Redshift, Apache Hudi, AWS Athena Data quality: volume/DQ monitors, DBT tests Orchestration: Argo Workflows, Airflow Source control: Git / GitHub, PR-based review workflows Observability: Grafana, Jira Healthcare data: Claims (plan/professional/pharmacy), EHR (clinical entities), MPI What You'll Bring Education: Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field Experience: Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases DBT: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns) Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly Skills: Clear communicator — able to translate technical findings for clients and non-technical stakeholders Strong analytical judgment — you can look at a distribution and know when something is wrong Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient Genuine desire to learn and apply AI tools for operational efficiency Would Love For You To Have Experience with Spark SQL and Hudi table format Familiarity with data quality monitoring tools Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics Python scripting for data investigation and automation Experience with Argo Workflows or similar orchestration platforms Healthcare data standards: ICD-10, CPT, NDC, LOINC, NPI What You'll Get Work alongside a talented team on some of the most complex and rewarding challenges in healthcare data Flexible, fully remote work environment with the resources and support to do your best work Exposure to senior leaders Be on the front lines of AI adoption — use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions Be a part of a mission driven company that is transforming the healthcare industry Become a member of the talented, energized, diverse and purpose-driven Arcadian Community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We are looking for a talented Quantitative Trader to join our Onchain Trading team. This is a technically deep, high-ownership role at the intersection of algorithmic strategy, decentralized finance, and protocol-level market structure. You will contribute across the full trading lifecycle — from building risk infrastructure and designing strategies to managing protocol relationships and structuring liquidity agreements. What You’ll Do: Risk & Allocation Build and maintain risk monitoring systems and capital allocation algorithms for our onchain curator program Contribute to quantitative frameworks for position sizing, exposure management, and drawdown controls across DeFi protocols Support real-time portfolio risk tracking across chains and venues Strategy Design & Execution Design and operate bespoke trading strategies across DeFi protocols, including AMMs, lending markets, perpetuals, and structured products Identify and exploit structural inefficiencies in on-chain markets, liquidity pools, and token incentive mechanisms Iterate on live strategies based on on-chain data, protocol changes, and market microstructure developments Monitor deployed strategies and manage operational incidents across multiple blockchains Liquidity Agreements Assist in the design and negotiation of custom liquidity provision agreements with protocols, DAOs, and ecosystem funds Support structuring of incentive arrangements, token agreements, and liquidity mining programs Track performance against agreed terms and contribute to counterparty reporting AI Implementation Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: 2–5 years of experience in quantitative trading, systematic strategy research, or algorithmic development Solid Python programming skills, with experience building data pipelines, backtests, or trading tools. Keen interest in exploring and working with new technologies Deep contract-level knowledge of DeFi protocol mechanics — AMMs (Uniswap, Curve, Orca), lending markets (Aave, Morpho), and other protocols Understanding of blockchain infrastructure and on-chain data Degree in a quantitative field – Computer Science, Computer Engineering, Applied Mathematics, Physics, etc. What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $150,000 — $200,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: New York City, NY; San Francisco, CA | New York City, NY; Washington, DC 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 As one of our first Data Scientists dedicated to policy work, you will play a key role in ensuring Anthropic's work is understood by policymakers around the world. You'll sit at the intersection of data science and public affairs, transforming internal product usage and survey data into clear, accurate, and consistent evidence the Policy team can use to inform its positions, demonstrate Anthropic’s relevance to policymakers, and measure the impact of its work. Your analyses will directly inform how legislators, regulators, and the public understand Anthropic's footprint and contribution. This is a highly cross-functional role that is foundational to Anthropic's mission of bringing powerful AI to the world in a way that benefits humanity. Key responsibilities Partner with product and business teams across the company to produce supporting analyses and data collateral for specific policy position papers and partnership conversations Determine which metrics faithfully represent our company to legislators, regulators, and the public Own the dashboards and pipelines that keep externally-shared numbers consistent, so the Policy team can move quickly without creating discrepancies Use AI tools to aggregate news, policy developments, and other public data sources to track trends and provide a clear picture of the evolving regulatory landscape Develop measurement frameworks for policy communications, paid media, and public-affairs campaigns Design and implement policy analyses to support internal position development or measure the impact of policy implementation for external audiences Minimum qualifications Proficiency in Python, SQL, and data analysis tools, with experience working with external and public data sources Experience producing analysis that reaches external audiences such as policy, communications, investor relations, public affairs, or published research Applied causal inference using quasi-experimental designs (e.g., difference-in-differences, regression discontinuity, synthetic control, instrumental variables, or matching) to measure policy or program impact from observational data Demonstrated ability to translate complex analyses into clear, actionable recommendations for audiences with differing levels of technical fluency Preferred qualifications 6+ years of hands-on data science experience Direct experience supporting a policy, government affairs, or regulatory team with data and analysis Familiarity with investor-relations or financial-disclosure data standards and the consistency requirements they entail Comfort operating in ambiguous, fast-moving environments where creating clarity and driving progress is part of the role A genuine interest in Anthropic's mission of building safe and beneficial AI Deadline to apply: None. Applications will be accepted on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 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. 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: IN - Jaipur This role supports the ongoing delivery of agentic AI–enabled automation across document-heavy and operational workflows. The intent is to move critical automation work off a high-cost contractor and into a lower-cost, full-time role without losing execution capability or momentum. The focus is on building and supporting automation.  This is hands-on delivery work that is well understood, repeatable, and already embedded in core operational processes. Responsibilities: Assist in building and enhancing agentic AI workflows that automate multi-step processes such as document intake, data extraction, validation, enrichment, and downstream routing. Support integration of AI / ML and LLM-based models for document classification, entity extraction, and metadata generation, and connect those outputs into end-to-end automated workflows. Build and maintain automation workflows and system integrations across document platforms, workflow engines, and operational systems. Assist with API integrations and data movement, ensuring secure, reliable flow between platforms with appropriate controls and auditability. Support production automation by monitoring workflows, troubleshooting failures, addressing defects, and improving reliability through logging, retries, and validation checks. Work closely with Product, Engineering, and Operations to translate known business requirements into implemented automation and to support ongoing enhancements. Contribute to documentation and standards so workflows are maintainable and not dependent on contractor knowledge. Qualifications: 6+ years of experience in data science, machine learning or AI-related roles, with 3+ years leading cross-functional initiatives at scale Experience operationalizing AI/ML or advanced analytics solutions in production, ideally within financial services, fintech, or data-driven platforms Strong understanding of LLMs, data science, AI/ML, and modern AI architectures, including model evaluation, context engineering, and agentic workflow automation Experience designing and implementing agentic AI workflows, including multi-step AI agents that automate complex processes and integrate with enterprise systems, data, and APIs Experience building or supporting production automation, ideally in document-heavy or regulated environments. Hands-on exposure to AI-driven data extraction, document processing, or NLP-based workflows. Familiarity with workflow orchestration, rules-based automation, and system integrations. Comfortable working within established patterns and under technical direction. Execution-oriented, able to support existing platforms and improve them incrementally. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc