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Location: Limassol, Cyprus Workplace: remote Mayflower is an international technology company behind products used by millions of people worldwide. For more than 10 years, we've been growing profitable global businesses, bringing together talented professionals across technology, product, marketing, and operations. We are seeking an experienced Recruiter to join our Talent Acquisition team. Job Responsibilities Drive the full recruitment cycle for complex and niche positions, taking ownership of the process and ensuring successful, timely hires. Lead executive search projects, including market mapping, headhunting, direct outreach, and managing stakeholder expectations at senior levels. Partner with business leaders to shape hiring strategies: provide market insights, advise on role design, and adapt approaches to business needs. Oversee and optimize the hiring pipeline, ensuring transparency, accurate forecasting, and delivery against SLA/KPI targets. Act as a trusted advisor to hiring managers: align on hiring priorities, support interview quality, and ensure structured, objective evaluation. Proactively source top talent using advanced sourcing techniques and deep international market research. Develop and maintain a strong talent network to build future hiring pipelines and reduce time to hire. Leverage recruitment analytics to monitor funnel health, identify bottlenecks, and drive continuous improvements. Champion the candidate experience, ensuring every touchpoint reflects professionalism, transparency, and care. You’ll thrive here if you have 5+ years of experience in Tech/IT/Product Recruitment, covering both engineering and non-tech roles (Marketing, Operations etc). Experience in executive search: hiring for senior leadership roles, including close collaboration with top management Fluency in Russian and English is a must-have. Strong expertise in full-cycle recruitment - from defining the hiring profile to successful offer acceptance - with international hiring and relocation experience. Ability to build and develop strategic partnerships with hiring managers, providing guidance, influencing decision-making, and training them on recruitment best practices. Solid skills in managing recruitment pipelines: planning, forecasting, and ensuring a consistent flow of candidates. Experience with recruitment analytics: working with metrics (time to hire, conversion rates, offer acceptance rate) and using data to improve processes. Excellent communication, negotiation, and interpersonal skills. Strong networking abilities and in-depth knowledge of international talent markets. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: Full remote work. Competitive compensation with a service contract. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most. Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage. Career growth in a fast-scaling project with opportunities to influence technical decisions. A culture of recognition: our peer reward program celebrates contributions from across the team. Benefits are provided in accordance with the company's policies and eligibility criteria. Recruitment process HR Interview Final interview with Hiring Team

Location: United Kingdom Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re looking for Staff Product Engineers that can solve our hardest technical problems, both individually and through technical leadership. You’ll design and build software that creates delightful, groundbreaking user experiences. You’ll play a key role in growing the talent in our engineering organization through mentoring, coaching and hiring, and you’ll resolve our most tricky product issues through an understanding of what’s important to our users and business. WHAT YOU'LL DO - Provide technical leadership for a critical part of Attio’s engineering organization. You’ll work across teams to design significant parts of our infrastructure, aligning with Attio’s overall technical strategy. You’ll hold a high bar for the output of the teams you work with, ensuring that Attio executes both quickly and with quality. - Raise the bar on how we build and operate software. You’ll be part of a technical leadership group that sets standards for how we build and operate software at Attio, ensuring that we strive to build robust and maintainable systems that are reliable, scalable and secure. - Grow our engineering talent. You’ll mentor and coach the engineers you work with, and help ensure we hire the best talent for Attio. You’ll share your knowledge and growth mindset with the team, and be open to new approaches and experiments as software engineering evolves in the age of AI. - Deliver for the business. You’ll always look to optimize for Attio’s business, ensuring that we make the right trade-offs between delivery and perfection. You’ll strive to understand our customers and users so you can deliver the experiences which are uniquely valuable to them. WHAT YOU'LL BRING - First-class technical skills. First and foremost, you’ll be an excellent technical executor, with an ability to think in systems, not just crank out code. You’ll understand the world of distributed, cloud-native systems, and intuitively create the right interfaces to allow teams to innovate in parallel. - Proven technical leadership credentials. You’ll have a track record of not just personal execution, but of delivering projects through others. You’ll be able to break down large, complex problems into smaller, independent goals that others can own. You’ll understand how technical architecture impacts ability to deliver, and to maintain systems for the long term, and be sensitive to the need to pick the right compromise. - A growth mindset. Software engineering is changing rapidly in the age of AI, and you’ll understand the need to be open-minded and to experiment. You’ll be keen to teach, and to learn from the experience of others. You’ll relish the challenge of working in an area that’s new to you, and enjoy the discomfort that leads to personal growth. - A passion for growing the skills of others. As you deliver projects through your technical leadership, you’ll be keen to grow the next generation of technical leaders. You’ll have demonstrated impact through mentoring and coaching, and be able to flex your style depending on the needs of your colleagues. You’ll also be passionate about hiring the right talent for Attio. - A focus on the product and customer. You’ll have strong opinions on what makes a great product, and a keen desire to deliver the things which generate value for Attio’s customers. You’ll be curious to learn about how our product is used in the field, and have an understanding of how to use data to ensure we’re building the right thing. WHAT WE OFFER - Competitive salary : £135K- 170K - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - [In the UK] Private medical insurance through AXA - [In the UK] Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Location: London, UK 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 Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have: 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Native English and (Bonus) Fluency in French, German, Spanish or Italian 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: £135,000 — £165,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mumbai Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges.  QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The global infrastructure team ensures the stability, performance, and optimization of QRT’s technology environment. The team collaborates with engineers, business stakeholders, and end users to troubleshoot issues, improve monitoring and instrumentation, and deliver solutions that support latency-sensitive trading platforms. Who we are looking for We are seeking an exceptional Technical Program Manager to join the QRT IT infrastructure team tasked with driving the innovation of its next generation systems infrastructure. This is an exciting opportunity for the right candidate to help facilitate QRTs’ growth. The successful candidate will be accountable for the end-to-end delivery of multiple parallel infrastructure projects to support our growing trading venues footprint. You will be working closely with QRTs compute, network engineering and data center operations teams as well as QRT’s partners and financial exchanges. As part of the role, you will be exposed to trading and enterprise projects - working in a fast paced, collaborative and supportive environment delivering best in class infrastructure for the business. Your future role within QRT •  Plan and manage the infrastructure delivery of new trading sites in colocation at proximity venues through effective project/task management and resource planning •  Assist the networking team in gathering requirements and coordinating with vendors, brokers and exchanges for new connectivity/access to markets •  Manage infrastructure provisioning and deployment across colocation and regional data centres, ensuring performance and scalability •  Assist QRT infrastructure team in managing allocation of compute resources across all QRTs colocations and datacentres. •  Build up working knowledge of QRT’s business and technology stack •  Ensure project stakeholders are kept up to date on status / timelines / project blockers using the Atlassian JIRA system •  Ensuring infrastructure projects are delivered on time and to the highest quality Your present skillset •  At least 10 years’ experience delivering electronic trading infrastructure implementations •  Previous experience of the financial technology industry is a must •  Knowledge of trading colocation environments is a must •  Strong knowledge of trading infrastructure (Linux, Networking) •  Good working knowledge of exchange connectivity (market data/order entry) •  Effective project management skills and practices. •  An analytical thinker with excellent problem-solving abilities. •  Excellent communication & collaboration skills QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London; Europe; Toronto Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role overview: North is Cohere’s AI workspace platform for enterprises: a secure, customizable environment where companies can use AI across their real workflows while maintaining control over sensitive data. North connects AI agents with workplace tools, applications, and business context, helping users delegate complex work, build automations, inspect outputs, and collaborate with AI in production environments. As North becomes more capable, one of the most important questions is also one of the hardest: how do we know whether the model is actually getting better for the workflows customers care about? This role is about being the voice of North inside modelling. You will build the evaluation systems, feedback loops, and applied modelling workflows that make sure model progress translates into better product outcomes for North users. You will work closely with North product teams, customer-facing teams, and modelling teams to define what “good” means across the product surface, turn real usage and product direction into high-quality evals, and use those evals to guide model selection, patches, and regular model updates. This is neither a pure research role nor a conventional product engineering role. It is a rigorous applied MLE role for someone who cares deeply about measurement, model behavior, and real-world product quality. You should be excited by the craft of building careful evals: evals that capture messy agentic workflows, reflect actual customer needs, resist superficial benchmark hacking, and provide useful signal for where the product and models need to go next. Please note: this team works closely across Europe and East Coast North America time zones. We are open to candidates who can collaborate effectively within those hours. Key responsibilities: - Own the eval strategy for North: define what we need to measure across agent workflows, tool use, enterprise knowledge work such as deep research, document creation or editing, and other human-AI interactions. - Build high-quality evals from the realities of the product: user feedback, production failures, privacy-preserving usage logs, internal dogfooding, customer needs, and forward-looking product goals. - Create systems that continuously turn what North is learning from users, customers, and feature teams into evals, so measurement keeps pace with the product rather than becoming a static benchmark. - Be the voice of North inside modelling: extract clear insight from eval results, customer-derived data and product context, then turn model failures, capability gaps, and North-specific needs into actionable recommendations for the central modelling teams. Qualifications: - You have improved LLM-powered, agent-powered, or AI-product systems through evals, feedback loops, data curation, prompting, model adaptation, or model selection. - You care deeply about evaluation as a craft: representative tasks, precise rubrics, clean data, failure analysis, regression tracking, and knowing when a metric is giving false confidence. - You have strong applied MLE judgment and can reason clearly about model behavior, eval validity, product outcomes, and production tradeoffs. - You are comfortable working close to users and product teams, while translating messy qualitative signals into measurement that other modelling teams can act on. - You are self-directed, practical, and motivated by open-ended problems where the right answer requires both technical depth and product understanding. - You care about making AI systems genuinely useful in real enterprise settings, not just better on abstract benchmarks. If some of the above does not line up perfectly with your experience, we still encourage you to apply. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Warszawa, Poland; Almaty, Kazakhstan; Prague, Czechia; Tallinn, Estonia; Tbilisi, Georgia; Budapest, Hungary; Rīga, Latvia; Vilnius, Lithuania; Lisboa, Portugal; Bucharest, Romania; Madrid, Spain Workplace: fully Customer Description: The customer is a global mobility and urban services platform providing transportation and other on-demand services through a digital marketplace. Project Description: The work spans deep learning model development, large-scale geospatial data pipelines, and low-latency production serving. The candidate will measure the impact through offline evaluation metrics and the results of online experiments Project Phase: ongoing Soft Skills: • Ability to influence teammates and cross-functional stakeholders effectively. • Curious and improvement-oriented mindset with a willingness to challenge existing approaches. • Excellent ability to communicate complex technical findings in a clear and concise manner. Hard Skills / Must Have: • 5+ years of machine learning engineering experience building and deploying deep learning models in production. • Experience building regression, forecasting, or other supervised machine learning systems for production prediction tasks. • Expert-level proficiency in Python and its core data science libraries (e.g., PySpark, Pandas, NumPy, Scikit-learn, PyTorch; gradient-boosting libraries such as CatBoost/XGBoost/LightGBM). • SQL. • Ability to design an ML system from scratch, including data analysis and processing. • Experience translating business goals into ML problems with appropriate metrics and non-functional requirements. • Experience designing and evaluating ML experiments. • Experience with MLOps tools. • Experience working with large-scale geospatial and behavioral datasets. • Experience deploying models to production on ML serving infrastructure and optimizing for latency, and awareness of concept drift and how to detect and manage it. • Comfort working with large-scale geospatial and behavioral data (e.g., GPS traces, H3 spatial indexing) Hard Skills / Nice to Have (Optional): • Academic background in Computer Science, Mathematics, or a related discipline. • Experience with travel time prediction, traffic estimation, or routing quality. • Experience with open-source routing engines. • Knowledge of map matching, speed profiles, road graph tiles, and historical traffic. • Experience with mapping, location, or geospatial products. • Experience building products for developing markets. • Experience with cloud data and machine learning platforms. Responsibilities and Tasks: • Design and build machine learning models to improve routing and travel time prediction. • Develop traffic estimation models using large-scale GPS data. • Implement map-matching solutions for noisy GPS data. • Improve travel time calculation, smoothing, and rerouting logic. • Translate routing objectives into machine learning objectives and evaluation metrics. • Lead offline and online model evaluation activities. • Collaborate with backend engineers to deploy low-latency production models. • Partner with product and operations teams to define new features and requirements. • Own the production ML lifecycle, including serving, monitoring, drift detection, and retraining pipelines. 🧪 Technology Stack: }Python, SQL, PySpark, Pandas, NumPy, Scikit-learn, PyTorch, XGBoost, LightGBM, CatBoost, MLOps, ML Lifecycle Management, Production ML Systems, ML Infrastructure, Geospatial Analytics, GPS Data, H3 Spatial Indexing 📝 Additional notes: The work will be carried out either on client's equipment or via a virtual workstation. Requires fluent Russian , as part of the team communication is conducted in Russian

Location: India Senior Video Editor / Motion Graphics Designer Department: Marketing Employment Type: Full-Time Location: India (Remote) About HIKINEX HIKINEX is a multi-channel integrated service provider helping companies scale faster, boost efficiency, and drive greater profitability. We build dedicated remote teams in sales, recruitment, marketing, and operations so our clients can work on their business instead of in it. Role Summary We are looking for a highly creative, detail-oriented, and fast-moving Senior Video Editor to lead the production of high-quality video content across our brands, products, and internal initiatives. This role goes beyond editing— you will help transform ideas into engaging visual stories that educate, inspire, and drive business growth, often working across multiple projects at once with tight deadlines. You will work closely with marketing, product, design, and leadership teams to create content for websites, product launches, training programs, social media, recruiting campaigns, and client marketing. We're building an AI-first Marketing Department, so experience with modern AI-assisted creative workflows is highly valued. Key Responsibilities — Video Production • Edit high-quality promotional, educational, and product videos. • Produce product demos and feature walkthroughs. • Create customer success stories and case study videos. • Develop engaging social media content. • Produce internal and employer branding videos. • Create internal training videos and onboarding content. Motion Graphics & Animation • Design and animate titles, transitions, icons, and infographics. • Create animated product explainers. • Develop branded intro and outro sequences. • Produce logo animations and motion assets. Creative Storytelling • Transform scripts into compelling visual narratives. • Recommend pacing, music, graphics, and visual effects to improve engagement. • Ensure videos align with brand guidelines and communication goals. AI-Assisted Video Production Leverage AI tools to improve speed and quality throughout the production process. Asset Management • Organize video files and project assets. • Maintain version control and follow company naming conventions. • Ensure project files are easy for the team to locate and reuse. Day-to-Day Responsibilities • Edit assigned video projects efficiently and on schedule. • Attend project briefings. • Collaborate with designers and copywriters. • Review feedback and implement revisions quickly. • Export videos for multiple platforms. • Upload final assets to the appropriate repositories. • Update project progress in project tracking tools. Required Skills • Professional video editing with strong speed — able to turn around high-quality work quickly without sacrificing craft. • Motion graphics and animation principles. • Visual storytelling and pacing. • Sound editing and color correction. • Creative problem-solving. • Strong time management and ability to juggle multiple projects at once. • Strong communication and attention to detail. Tools & Technologies Adobe Premiere Pro, Adobe After Effects, Adobe Photoshop, Adobe Illustrator, Adobe Audition, DaVinci Resolve (preferred), Figma (basic understanding), Canva AI Tools (Preferred) Experience with one or more of: ChatGPT, Claude, Adobe Firefly, Runway, Descript, ElevenLabs, Midjourney, Canva AI, Veo or similar AI video generation tools. Experience Required • 3+ years of professional video editing experience, with a demonstrated ability to work at speed and high volume. • Strong portfolio demonstrating a variety of work, including product videos, explainer videos, corporate videos, social media content, and motion graphics. Portfolio Requirements Please include examples of: product demonstrations, motion graphics, brand videos, social media campaigns, training or educational content, and before-and-after editing examples (if available). Applications without a portfolio will not be considered. Who Will Thrive in This Role You edit fast without cutting corners, and you're comfortable juggling several projects with competing deadlines. You take a script or rough brief and run with it, bringing strong creative instincts and technical polish to every deliverable. You're always looking for ways, including through AI tools, to work smarter and faster. We Encourage You to Apply If you don't meet every single requirement listed above, please don't let that stop you from applying. We'd still like to hear from you if you're excited about this role and bring relevant experience. Skills and qualifications can be built on the job; genuine interest and the right attitude matter just as much to us.

Location: Remote Spain, Spain Workplace: remote Welcome to OLX  We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.  Join OLX and see how far you can go. We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact. A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation. The role We're looking for a Senior Product Designer to join our Product Design team. Reporting to the Product Design Manager, you will shape design strategy across product squads, own craft and quality standards, and mentor junior and mid-level designers. You'll work at the intersection of design, code, and AI systems—using tools like Lovable, Claude, and Cursor to prototype and iterate. Beyond shipping product experiences, you'll establish patterns, build systems thinking, and elevate the entire team's capabilities in AI-native design. The output we expect is not just working artifacts: it's strategic direction that raises design quality and team maturity across the organization. What responsibilities will you get when working with us? Lead design strategy across one or more product squads, translating business goals and user needs into coherent design direction that shapes product roadmaps and team priorities. Use AI-native workflows to collapse the gap between strategy and production, prototyping and iterating directly in code rather than through static handoffs. Lead by example in adopting tools like Lovable, Claude, and Cursor for end-to-end design execution. Establish and maintain high craft standards by defining foundational and reusable Agentic Experience patterns, designing scalable components for the design system (Nexus), and reviewing work to ensure quality and consistency. Mentor and develop designers through critique, guidance, and structured feedback—helping them grow their craft, decision-making, and ability to work autonomously with AI-native tools. Partner with Product and Engineering to align on experience strategy, success metrics, and technical feasibility—translating design insights into business outcomes and measurable impact. Conduct user research and run experiments to validate design decisions. Define success metrics, gather feedback, and iterate fast—always balancing speed with quality and bias toward shipping. Lead design reviews, brainstorming sessions, and strategic discussions with your design peers and cross-functional partners. Communicate design rationale clearly with data, influence decisions, and build alignment around priorities. Identify gaps and opportunities for design improvement and innovation. Propose and champion new approaches to solving complex problems—whether through design systems improvements, new AI patterns, or cross-domain initiatives. As a Senior Product Designer, you will need: Proven  experience in UX / Digital Product Design, with a strong portfolio that showcases shipped work, live prototypes, and measurable business impact—not just static screens. We won’t be interviewing if you don’t have a portfolio to share beforehand. Demonstrated expertise in AI-native design: you actively use AI tools (Figma Make, Lovable, Cursor, Claude, etc.) as a core part of your design practice and can teach others how to leverage them effectively. Experience building or contributing to design systems, including code components. You understand how design decisions impact engineering implementation and can collaborate deeply with engineering teams. Proven track record mentoring and developing designers. You give and receive candid feedback, help others improve their craft, and create psychologically safe environments for growth and experimentation. Strong product and business thinking: ability to frame problems strategically, connect design decisions to business outcomes, and define success metrics that demonstrate measurable impact. Excellent English communication and influence skills: you articulate design rationale clearly with data, facilitate complex discussions, and drive alignment across cross-functional stakeholders and leadership. Growth mindset and adaptability: you thrive in ambiguity and rapid change, prioritize learning and impact over mastery of any specific tool, and are excited about emerging technologies and evolving design practices. What can we offer you: Work with and impact all OLX websites around the world Salary + annual bonus up to 15% of your annual gross salary Train and conference budget and free access to Udemy courses Permanent contract, health insurance and life insurance MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable 100% remote work (and the possibility to work from our office in Lisboa or Barcelona) Hiring Process First Stage TA Screen This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to discuss your aspirations and ensure alignment with our culture and values. Second Stage Portfolio Review In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your process thinking and approach to design through a case study of your choice. This is also a great opportunity to discuss how you collaborate with others and how your values align with our team culture. Third Stage AI Sandbox Challenge This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your workflows, and apply your skills in a practical setting. We aim to make this process clear, collaborative, and reflective of the way we work as a team. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Remote, Austria; Remote, Germany 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 a Senior Engagement Manager, PS Sales focused on Germany, you will play a critical role in driving GitLab’s growth in the region by structuring services engagements that create true partnership and shared success with our customers. You will lead efforts to design, position, and close outcome-oriented professional services engagements that translate complex DevSecOps and digital transformation initiatives into clear, measurable mission-critical outcomes. Reporting to the Senior Manager of Engagement Management, EMEA, you will work at the intersection of technical solutioning and customer requirements, aligning each engagement to their unique needs and objectives.  In your first year, you will build trusted advisor relationships with technical leaders and partners to help integrate professional services into account strategies from early discovery through successful delivery. This is a unique opportunity to shape large-scale implementations that improve how customers plan, build, secure, and operate software using GitLab. Some examples of our projects Designing and structuring outcome-based professional services engagements that align GitLab capabilities to customers needs Partnering with account executives, solutions architects, and delivery leaders to turn complex DevSecOps transformations into clear, actionable implementation roadmaps and statements of work What you'll do Build trusted advisor relationships with division chiefs, program managers, and technical leaders Conduct discovery sessions with with prospects and Systems Integrators to understand current-state capabilities, requirements and desired business outcomes Design outcome-oriented services proposals that align GitLab capabilities with customer success metrics and objectives Structure engagements and commercial proposals to clear outcomes maintaining flexibility for staff augmentation and packaged offerings when needed Develop custom-scoped SOWs and staffing plans for complex implementations, engaging with technical architects and delivery leadership to ensure deliverability Articulate GitLab's services value proposition, catalog offerings, and implementation methodologies in the context of customer requirements Gain agreement on scope and price while guiding customers through commercial terms, procurement processes, and contracting structures Manage project- and account-level escalations, ensuring rapid resolution and maintaining customer confidence Position consulting, training, success tiers, and additional solutions proactively to ensure successful outcomes and long-term customer retention Facilitate solutioning sessions including implementation roadmapping, enterprise strategy discussions, and executive-level requirements gathering Drive measurable outcomes by structuring services that support customer success metrics, accurately forecasting services bookings, and tracking key performance indicators related to bookings, margin, and attachment to strategic opportunities. Own the engagement lifecycle from initial discovery and pre-sales solutioning through scoping, SOW development, staffing alignment, and transition to delivery, ensuring engagements are deliverable, clearly defined, and outcome-oriented. Influence cross-functional teams by articulating GitLab’s professional services value proposition in the context of federal requirements and compliance frameworks, and by feeding customer insights back into sales, delivery, and practice management. Partner with regional sales and engagement leadership to prioritize and manage services opportunities that support critical deals and strategic initiatives, providing clear recommendations on risk management, negotiation strategies, and commercial structures. Foster a culture of enablement and continuous improvement by training field teams on how to position and sell professional services by sharing trends, feedback, and suggestions that improve go-to-market content and operational processes. What you'll bring Demonstrated progressive experience structuring, scoping, and selling professional services engagements in the region Proven success operating in a pre-sales context, conducting discovery, designing outcome-oriented proposals, and developing custom statements of work (SOWs) and staffing plans for large, complex implementation projects. Solid understanding of software development lifecycle (SDLC), DevOps practices, and cloud transformation initiatives, with the ability to connect technical solutions to mission objectives and measurable business outcomes. Effective communication and interpersonal skills with executive presence, able to build trusted advisor relationships with division chiefs, program managers, contracting stakeholders, and senior technical leaders. Highly developed facilitation, negotiation, and problem-solving skills, including the ability to guide customers through acquisition processes, commercial structures, and risk mitigation strategies. Comfort working cross-functionally with sales, solutions architecture, delivery, and operations teams to align on deal strategy, staffing, and successful execution in a fast-paced environment. Capacity to work autonomously and asynchronously in a fully remote setting, managing multiple complex opportunities while maintaining accurate forecasting and consistent alignment with GitLab values and goals. The Professional Services Engagement Management team at GitLab is dedicated to designing and structuring services engagements that set our customers up for successful, long-term adoption of our DevSecOps platform. We build and manage strategic relationships with customers to understand their goals, surface their services needs, and translate complex transformation initiatives into clear, outcome-oriented engagement plans. Composed of experienced services, consulting, and delivery professionals distributed across multiple regions, we operate asynchronously to support field teams, shape implementation strategies, and guide customers through their services journey. We focus on creating scalable engagement models, fostering open communication with internal stakeholders, and adapting our services offerings to the evolving needs of a rapidly maturing organization and its customers. For more on how our team works, see the Professional Services Engagement Management handbook page . 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: Berlin Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. This role will be working at Lion Studios Lion Studios is a mobile games publisher that works with mobile developers to get their games discovered by players around the world. Headquartered in San Francisco, Lion Studios’ creative and strategy teams utilize their expertise to help game developers break through the noise and grow their businesses. Since launching in 2018, Lion Studios has driven 90% of its games to the Top 10 in the App Store and Google Play and helped drive 16 games to #1 in the US App Store’s Top Free chart. Role Overview As a Game Designer, you will support our Turkish teams and work on our successful casual puzzle titles. You’ll work closely with external development teams, studio managers, and you'll have the exciting opportunity to ideate, craft, and analyze our existing and future puzzle games, contributing to their success. You’ll thrive here if you’re a versatile game design generalist with a strong interest in level design, comfortable building relationships across multiple teams, and able to balance creative judgement with data-informed decision-making. Responsibilities Design engaging & challenging core gameplay loops, player experiences, and monetization strategies. Partner with external studios in Turkey throughout the new game development pipeline, from early concepts to playable builds. Design new mechanics that enhance depth and progression while fitting seamlessly into the game’s design approach. Evaluate player data, identify trends, and optimize level funnels for retention and monetization. Collaborate cross-functionally with developers to align with overall product goals. Keep an eye on top-performing games to understand market trends and extract insights. Required Skills, Knowledge and Expertise At least 3+ years of experience as a game designer, or in a similar field. Professional experience in game design, with the ability to contribute across mechanics, systems, progression, and player experience. Confidence using data and player insights to identify design problems and recommend solutions. Strong creative and problem-solving skills, with the ability to collaborate and communicate effectively with cross-functional stakeholders to align design with the product vision. Advanced analytical skills, ability to spot patterns and trends Experience with balancing levels and funnel optimization Fluency in Turkish and the ability to communicate effectively with Turkish-speaking studio teams. Desired Skills Game design experience as a publisher in puzzle genres is a huge plus Experience with liveops, A/B testing, or data-informed iteration cycles. Familiarity with Figma or similar visual collaboration software for mock-ups Proficient using AI tools for generating early prototypes Track record of publishing/working on successful hypercasual, casual, or AAA titles Working at Tripledot 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Supplemental Health Insurance: Continentale: annual budget of 1200 eur - reimbursement for healthcare outside of public plans (glasses, massages, dental treatments etc.) Public Transportation reimbursement: 100% of public transportation to the office via BVG ticket is covered Daily Free Lunch: Order free food from Wolt when at the office Pension plan : Opt-in to employer contributed pension plan, operated with Degura

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role at QRT: We’re looking for a hands-on Software Engineer to join QRT. In this role you’ll build out the tooling that manages and monitors production datasets, keeping them flowing, observable, and reliable. You’ll work closely with other engineering teams and business stakeholders to deliver a mission-critical platform that prevents material trading losses. Your responsibilities will include: Developing and maintaining a platform which ensures the quality and correctness of our datasets, and alerts stakeholders to critical production issues Maintaining and improving shared libraries which are used by developers across the data-function and facilitate the rapid onboarding of new datasets Designing, building, and documenting our integrations with other team’s processes, which alert them to relevant issues with our data-pipelines Supporting users in best practice usage of our tooling, migrating code to the latest standards as well as investigating, debugging and resolving issues with our platform Your present skillset: Bachelor's or Master's degree in computer science, engineering or a related field Previous experience in software engineering, exposure to financial data is a plus Strong computer science fundamentals and proficiency in Python/Rust Familiarity with Kubernetes, container orchestration, and cloud infrastructure Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders Ability to work autonomously within a global team QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Central, Hong Kong Workplace: hybrid We're Osome - an international fintech startup making the lives of entrepreneurs easier. We help thousands of businesses kick admin, accounting and bookkeeping out of their day-to-day, so they can spend more time on what's important to them. We've developed a unique solution that combines SaaS with a human-in-the-loop approach to provide full-fledged services in real-time. We’re experiencing rapid growth in both client base and team, which now comprises around 500 people across our offices worldwide. As we continue to scale, we’re looking for more bright minds who are excited to make a real impact by solving complex problems. Expression of Interest: We love connecting with great people, even if the perfect role isn’t open right now (or if you’re not actively job-hunting… yet!). Think of this as an open invitation to say hi, stay on our radar, and explore what the future could look like together. What to expect: Manage end-to-end audit engagements, including planning, scheduling, execution, and progress tracking to meet agreed timelines and milestones Prepare audit reports and tax computations with accuracy and compliance Maintain consistent communication with clients, team members, and management on engagement progress and key updates Support and coach junior team members during audit engagements Handle ad-hoc assignments as required If you want to build confidence, judgement, and ownership, it will be. What you'll do: Plan and organize audit assignments effectively Perform audit fieldwork, testing, and documentation Prepare audit reports and tax computations Liaise with clients and internal teams to ensure smooth audit execution Assist with ad-hoc tasks as assigned Who you are: Bachelor’s degree or above in Accounting or related disciplines 1–2 years of relevant audit or accounting experience preferred Student member of HKICPA , ACCA , or CPAA Working knowledge of auditing and financial reporting standards, including HKFRSs, HKFRS for Private Entities, and SME-FRSs Proficient in Microsoft Excel and Google Sheets You’ll leave this role better than you started. That’s the goal. Our Benefits Multi-cultural environment to enhance your global perspective. Learning opportunities and mentorship from peers and leaders. Flexible working arrangement; Hybrid working arrangement An agile working model focused on goals and performance. Training and professional growth allowance up to $30,000 per year. Equal Opportunity Statement At OSOME, creating a culture where individuals of all backgrounds feel comfortable really matters. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. We want to ensure that we represent the diversity of talent in the society we live in today. If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know so that we can support you.

Location: India Job Overview As an Azure AD B2C Software Engineer, you will play a major role in the development and maintenance of our consumer-facing Azure products. Your primary responsibility will be ensuring the seamless functioning and user experience of our Azure B2C applications. This role requires a deep technical understanding of Azure services, cloud-based software development, and user experience optimization and have the mindset of work independently to lead a business-critical initiative to transform, rationalize, and migrate critical business applications to Azure B2C. The team will lead the effort for this leading organization's cloud strategy roadmap, and the Developer is responsible for coordinating with internal business and IT stakeholders to contribute to the implementation of designs in adherence with the organization's strategy. Responsibilities: Software Development & Maintenance: Develop, implement, and maintain consumer-facing Azure B2C applications, ensuring high performance, responsiveness, and reliability. Collaborate with cross-functional teams to define, design, and ship new features. Azure Cloud Integration: Integrate Azure services effectively into the software architecture, optimizing scalability, security, and efficiency. Ensure seamless data synchronization between Azure services and the consumer applications. User Experience Enhancement: Continuously improve user experience by identifying areas for optimization and implementing solutions. Conduct user testing and gather feedback for iterative product enhancements. Security & Compliance: Implement security measures, access controls, and encryption to safeguard user data and privacy. Ensure that all Azure B2C applications adhere to organizational security standards and compliance requirements. Documentation: Document system configurations, development processes, and changes for reference and future optimization. Maintain records of software performance, issues, and resolutions. Consultation & Collaboration: Provide technical consultation to internal teams, ensuring alignment with Azure best practices. Collaborate effectively with UX/UI designers, backend developers, and stakeholders to achieve cohesive product functionality. Custom Policies for Sign In, Sign Up, Reset Password, Profile Edit. Experience in Enterprise scope implementations. Ability to work with existing Custom Policies and make changes instead of starting brand new. User Journey and Sub Journeys Requirements: Education: Bachelor’s degree in computer science, Software Engineering, or related field. Azure Developer Associate or Azure Solutions Architect Expert certifications are highly desirable. Experience: Minimum of 5-8 years of experience in cloud-based software engineering, specifically focusing on Azure B2C. Technical Skills: Proficiency in Microsoft Azure services, cloud-based software architecture, and API integration. Strong programming skills in languages such as C#, .NET, or JavaScript. Familiarity with front-end technologies (e.g., React, Angular) and back-end frameworks. Experience with Azure DevOps, continuous integration, and deployment practices. Soft Skills: Exceptional problem-solving abilities and analytical thinking. Excellent communication skills, both written and verbal. Ability to collaborate in a team-oriented environment. Demonstrated capability to handle multiple tasks and meet deadlines under pressure. Other: Eagerness to stay updated with the latest developments in Azure technologies and software engineering best practices. Note: The specific responsibilities and tasks may evolve based on the organizational needs and the evolution of the role within the department.

Location: Serbia Job Title: AI/ML Engineer Department: IT Services /IT Infrastructure Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: Romania Job Title: AI/ML Engineer Department: IT Services Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: India Job Title: AI/ML Engineer Department: IT Services Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: Poland Job Overview We are seeking an experienced Software QA & Testing Engineer to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load. As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth. Key Responsibilities 1. Test Planning & Strategy Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives. Develop and document comprehensive and efficient test plans, strategies, and exit criteria. Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle. 2. Manual Testing Perform detailed manual testing on new features, functional flows, and regression cases. Conduct comprehensive exploratory testing for edge-case scenarios to uncover potential issues early. Ensure test data coverage for all features, workflows, integrations, and edge cases. 3. Automation Testing Design, build, and maintain automation frameworks for both web and mobile applications using leading tools like Selenium , Cypress , Playwright , and/or similar. Write efficient and reusable automated test scripts to conduct functional and end-to-end testing . Work on integrating automated tests into CI/CD pipelines (e.g., using Jenkins , GitHub Actions , AWS CodePipeline ). 4. Cross-Browser & Device Testing Perform cross-browser testing on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like BrowserStack , Lambdatest , or CrossBrowserTesting . Validate software compatibility across various operating systems and devices (desktop and mobile). 5. Performance Testing Design and execute performance, scalability, and stress tests for high-traffic systems using tools like JMeter , LoadRunner , or Gatling . Monitor application response time, throughput, and behavior under heavy load scenarios. Analyze performance bottlenecks and provide optimization recommendations to development teams. 6. AI-Driven Testing Utilize AI-powered test case generation tools like Testim , Applitools , or Tricentis Tosca to design smarter and faster test cases. Work with AI-based tools for visual regression testing and intelligent defect identification. Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies. 7. Defect Reporting & Debugging Identify, document, and track bugs and defects found during testing using bug-tracking tools such as JIRA , Trello , and Azure DevOps . Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability. 8. Documentation & Reporting Create and maintain a repository of detailed test plans, test cases, and test execution reports. Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress. Requirements 1. Education & Experience Bachelor’s degree in Computer Science, Engineering, or a related field. 4–6 years of experience in a Software QA role, with a proven track record of delivering high-quality software products. 2. Technical Skills Strong understanding of software QA methodologies , manual and automation testing standards , and testing tools . Hands-on experience with manual  and automation testing of workflows and UI components. Proficiency with key automation testing frameworks (e.g., Selenium, TestNG, Playwright, Cypress, etc. ). Demonstrated expertise in cross-browser testing tools (e.g., BrowserStack, LambdaTest, Sauce Labs ). Advanced knowledge of performance and stress testing tools (e.g., JMeter, LoadRunner, Gatling, or k6 ). Experience with API testing tools such as Postman, Rest Assured , or Karate . Proficiency with test management tools (e.g., Jira, TestRail ) and version control systems like Git . Familiarity with CI/CD pipelines and DevOps tools (e.g., Jenkins, GitHub Actions, Azure Pipelines ). 3. AI Testing Tools Hands-on experience with AI-enhanced testing tools such as: Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl AI-powered visual testing and smart test case generation Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection. 4. Additional Skills Strong troubleshooting and debugging skills with an eye for detail. Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly. Demonstrated ability to work in Agile environments and with techniques such as regression testing , exploratory testing, and smoke/sanity testing. Knowledge of scripting languages such as Python, JavaScript, or Java is a plus. Preferred Qualifications Certifications : ISTQB Foundation Level or Advanced Level certification Certified Selenium Professional, Appium Certification, or equivalent Experience in Performance & Load Testing : Hands-on knowledge with tools like JMeter or LoadRunner. Familiarity with AI/ML Testing : Experience testing machine-learning models or data-driven AI applications. Cloud Testing : Familiarity with testing APIs and services hosted on AWS , Azure , or GCP .

Location: Romania Job Overview We are seeking an experienced Software QA & Testing Engineer to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load. As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth. Key Responsibilities 1. Test Planning & Strategy Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives. Develop and document comprehensive and efficient test plans, strategies, and exit criteria. Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle. 2. Manual Testing Perform detailed manual testing on new features, functional flows, and regression cases. Conduct comprehensive exploratory testing for edge-case scenarios to uncover potential issues early. Ensure test data coverage for all features, workflows, integrations, and edge cases. 3. Automation Testing Design, build, and maintain automation frameworks for both web and mobile applications using leading tools like Selenium , Cypress , Playwright , and/or similar. Write efficient and reusable automated test scripts to conduct functional and end-to-end testing . Work on integrating automated tests into CI/CD pipelines (e.g., using Jenkins , GitHub Actions , AWS CodePipeline ). 4. Cross-Browser & Device Testing Perform cross-browser testing on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like BrowserStack , Lambdatest , or CrossBrowserTesting . Validate software compatibility across various operating systems and devices (desktop and mobile). 5. Performance Testing Design and execute performance, scalability, and stress tests for high-traffic systems using tools like JMeter , LoadRunner , or Gatling . Monitor application response time, throughput, and behavior under heavy load scenarios. Analyze performance bottlenecks and provide optimization recommendations to development teams. 6. AI-Driven Testing Utilize AI-powered test case generation tools like Testim , Applitools , or Tricentis Tosca to design smarter and faster test cases. Work with AI-based tools for visual regression testing and intelligent defect identification. Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies. 7. Defect Reporting & Debugging Identify, document, and track bugs and defects found during testing using bug-tracking tools such as JIRA , Trello , and Azure DevOps . Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability. 8. Documentation & Reporting Create and maintain a repository of detailed test plans, test cases, and test execution reports. Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress. Requirements 1. Education & Experience Bachelor’s degree in Computer Science, Engineering, or a related field. 4–6 years of experience in a Software QA role, with a proven track record of delivering high-quality software products. 2. Technical Skills Strong understanding of software QA methodologies , manual and automation testing standards , and testing tools . Hands-on experience with manual  and automation testing of workflows and UI components. Proficiency with key automation testing frameworks (e.g., Selenium, TestNG, Playwright, Cypress, etc. ). Demonstrated expertise in cross-browser testing tools (e.g., BrowserStack, LambdaTest, Sauce Labs ). Advanced knowledge of performance and stress testing tools (e.g., JMeter, LoadRunner, Gatling, or k6 ). Experience with API testing tools such as Postman, Rest Assured , or Karate . Proficiency with test management tools (e.g., Jira, TestRail ) and version control systems like Git . Familiarity with CI/CD pipelines and DevOps tools (e.g., Jenkins, GitHub Actions, Azure Pipelines ). 3. AI Testing Tools Hands-on experience with AI-enhanced testing tools such as: Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl AI-powered visual testing and smart test case generation Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection. 4. Additional Skills Strong troubleshooting and debugging skills with an eye for detail. Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly. Demonstrated ability to work in Agile environments and with techniques such as regression testing , exploratory testing, and smoke/sanity testing. Knowledge of scripting languages such as Python, JavaScript, or Java is a plus. Preferred Qualifications Certifications : ISTQB Foundation Level or Advanced Level certification Certified Selenium Professional, Appium Certification, or equivalent Experience in Performance & Load Testing : Hands-on knowledge with tools like JMeter or LoadRunner. Familiarity with AI/ML Testing : Experience testing machine-learning models or data-driven AI applications. Cloud Testing : Familiarity with testing APIs and services hosted on AWS , Azure , or GCP .