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We're looking for a Senior Product Designer to join our BNPL stream and design the merchant side of Tabby's core product. — Own merchant journeys in the Merchant Dashboard end to end, across web and mobile, from early concept through polished execution.

Location: Bangalore, India 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 Data Engineer at GitLab, you'll build, run, and maintain the pipelines and infrastructure that bring data from our enterprise applications, internal systems, and GitLab's software as a service (SaaS) platform into our data platform. Your work will power company reporting, data science, and artificial intelligence (AI) self-service. You'll own features end to end, from source integration to tested, monitored, documented data ready for use. You'll focus on keeping the platform reliable, secure, and cost-efficient as data volumes and AI usage grow, and making governed data ready for AI tools, agents, and Model Context Protocol (MCP)-based access. This is an AI-first role: you'll use AI coding agents every day while maintaining high standards for code review and testing. You'll report to the Director, Data Platform. What you’ll do Build, extend, and maintain extract, load, transform (ELT) pipelines from enterprise applications such as Salesforce, Zuora, Zendesk, and Marketo, internal systems, and the GitLab SaaS platform. Integrate data through application programming interfaces (APIs) and event sources such as Snowplow. Manage and maintain the infrastructure behind the platform, including SaaS tools such as Snowflake, Fivetran, and Monte Carlo, and self-managed services such as Airflow and Kubernetes. Write maintainable, well-tested, performant Python and Structured Query Language (SQL) code that meets our internal standards, and review GitLab team members' merge requests. Own day-to-day platform operations: triage and resolve failed pipelines, infrastructure issues, and GitLab team member requests. Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient. Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners so data lands in the shape they need for downstream use. Use AI coding agents such as Claude Code, OpenCode, GitLab Duo, or similar tools to speed up development, debugging, testing, and documentation without compromising review rigor. Apply role-based access control (RBAC) and masking policies to make governed data available to AI tools and agents. Handle data subject to Sarbanes-Oxley (SOX) controls, material nonpublic information (MNPI), and personal data safely. Ship medium-sized features independently in small, iterative merge requests, and document architecture and runbooks in the handbook. What You'll Bring Professional experience shipping production data pipelines in Python. Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred. Hands-on experience with ELT or extract, transform, load (ETL) pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion. Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling. Experience running and troubleshooting data infrastructure, with comfort using Git-based workflows, continuous integration and continuous delivery (CI/CD), and code review. Hands-on experience using AI coding tools in your daily work, with an understanding of where they help and where they fall short. Clear written communication, the ability to use GitLab, and comfort working asynchronously in a fully remote organization in line with GitLab's values. Preferred, not required: experience with Snowflake; Docker, Kubernetes, Google Cloud Platform (GCP), or Terraform; SaaS application APIs such as Salesforce, Zuora, or Zendesk; data observability tooling; or Snowflake administration. About the team The Data Platform team within Enterprise Data is responsible for a scalable, reliable and secure data platform for data analytics at GitLab. That includes managing and maintaining the infrastructure we use, both SaaS and self-managed, and building and maintaining the data pipelines that bring data into it. We make data reliable, secure and ready for analytics, data science and AI tools. As more questions go straight to AI tools and agents, the platform underneath has to be more reliable, better governed and more cost-efficient than ever. We're fully remote and globally distributed, and work asynchronously through issues, merge requests and the handbook. 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: Spain Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. About the role Come and join the fastest growing Google Ads agency in the world, and run real spend on ecommerce accounts where search and shopping mastery decides who wins. Our client is the fastest growing Google Ads agency in the world. Led by their founder and CEO, Jem, they manage nine figures in annual ad spend across 180+ ecommerce DTC brands, powered by direct relationships with Google's product teams and access to alpha and beta features most agencies never touch. Their strategies are not public, their standards are high, and their results do the talking. They grow fast because the work is that good, and they keep the team senior and selective on purpose. Their average client stays with them well beyond a year, close to unheard of in this industry. Join them and you plug into a team operating at the top of the game, and a founder whose personal brand is becoming the loudest signal in performance marketing. - This is a senior seat for a full stack Google buyer whose core is search and shopping, done at real scale, and who can prove it. You own accounts end to end and run them against real spend, where the numbers are the only thing that matters. Search and shopping are the heart of the role. Get those right and the rest follows. - On the search side, you build a clean, profitable structure, you split brand from non-brand without being told, and you research top of funnel keywords that open a category before a buyer knows the brand, at the category level, the problem level, and the ingredient or mechanism level. You know which demand is worth paying for and which is not. - On shopping, the feed is the account. That is the part most buyers get wrong, and it is where you are strongest. You live in DataFeedWatch, Channable, or Google Sheets, and you turn a raw product feed into a shopping and PMax engine: clean attributes, smart custom labels, supplemental feeds, and constant title and image testing at the feed level. You know a title test can move an account more than a bid change, and you run those tests as a discipline, not a one off. - You are full stack, so YouTube and Demand Gen are part of the picture too, but we are happy to teach those if your search and shopping foundation is elite. And you are deep in the data throughout: Triple Whale and Northbeam are where you check your work, and you optimize to profit, not to whatever the Google interface wants to celebrate. Responsibilities: ● Own Google Ads accounts end to end, with search and shopping as the priority ● Build and manage profitable search structure and the brand versus non brand split ● Research and structure top of funnel keywords that open new demand at the category, problem, and mechanism level ● Own the feed as part of the account: build and optimize attributes, custom labels, and supplemental feeds in DataFeedWatch, Channable, or Sheets ● Run continuous title and image testing at the feed level and turn the winners into scale ● Grow into YouTube and Demand Gen, scaling them deliberately as you go ● Scale winners and cut waste quickly against real spend ● Live in Triple Whale and Northbeam and let profit lead every decision ● Partner with the creative team so the right angles and formats get tested against the right traffic ● Keep clients informed with clear, honest reporting on what is working and why Requirements ● Proven experience buying Google Ads for ecommerce at real scale, with a core in search and shopping and results you can point to in hard numbers ● Elite on search: account architecture, the brand versus non brand split, and top of funnel keyword research at the category, problem, and mechanism level ● Elite on shopping and feeds: hands on in DataFeedWatch, Channable, or Google Sheets, with real command of attributes, custom labels, and supplemental feeds ● Runs structured title and image testing at the feed level as a habit, and reads the results honestly ● Full stack across Google, comfortable owning whole accounts. YouTube and Demand Gen experience is a plus, but we will teach it if your search and shopping are strong. ● Deep in the data: Triple Whale, Northbeam, and the Google Ads interface, always optimizing to profit ● A genuine understanding of the whole Google Ads ecosystem, not just the buttons in one campaign type ● Ecommerce or DTC experience Benefits Fully remote. Work from anywhere, with flexible hours. A seat inside a premium agency managing nine figures in ad spend, running accounts that move real budgets from day one. A small, senior, global team with no bureaucracy and no busywork. Direct access to the founder and to work that actually stretches you. Weekly personal mentoring directly from the founder himself. Paid time off. A wellness bonus. Team retreats and workations

Location: Ukraine; Poland; Spain; Portugal; Romania; Czechia At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. We are looking for a Middle ML & AI Engineer to join us as part of our team. About the role PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical, and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials, and many more. Team: Engineering Manager, 6 MLE’s. Work Environment: The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. Technical Stack: Python, PyTorch, Scikit-Learn, Spacy, LangChain, LangGraph etc. As a qualified expert, You will Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. We’re looking for you if you have Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field. Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems. Technical Expertise: Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others; experienced in natural language processing and modern LLM-based techniques; experience with full ML lifecycle, data preprocessing, training, evaluation stage, and monitoring techniques; skilled with SQL and data extraction methods. Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI. Collaborator & Communicator: You’re an excellent communicator able to collaborate and professionally express your thoughts to team members, other engineering teams, and stakeholders. Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have. Languages: English —Upper-Intermediate or higher; Ukrainian —fluent/native . What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Pre-Screening with the recruiter Technical interview (up to 90 min) System Design interview (up to 45 min) Final interview with Engineering Manager (60 min)

Location: United Kingdom About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a fast-growing performance marketing agency and part of a larger media group specializing in high-impact lead generation and creative strategy. With a primary focus on the renewables and B2B sectors across the UK, the team helps businesses scale by combining professional video production with data-driven Meta and Google Ads management. Unlike traditional agencies, they bridge the gap between creative storytelling and sales by embedding appointment-setting services directly into their campaigns to drive measurable revenue growth. Operating with a "build in public" philosophy, the team prioritizes transparency and innovation in every project. They are dedicated to delivering high-converting content and automated marketing funnels that transform digital engagement into tangible sales appointments. Candidates will join a collaborative, results-oriented environment that values creativity, strategic execution, and the ambitious goal of generating significant ROI for a diverse portfolio of industry-leading partners. Job Type: Full-time Job Summary We are seeking a high-caliber Meta Ads Manager to spearhead lead generation efforts for a rapidly expanding UK-based agency. This is not a generalist media buying role; it is a specialist position for a technical expert who lives and breathes the Meta Ads ecosystem. You will be responsible for driving high-quality leads for clients in the renewable energy sector, ensuring maximum ROI through data-driven optimization and strategic scaling. As the agency grows, this role offers a direct path toward leadership as Head of Paid Media for the right candidate. Key Responsibilities Own the end-to-end execution of Meta Ads campaigns across Facebook and Instagram, from initial setup to advanced scaling. Monitor account performance daily, making proactive adjustments to campaign structures, bidding strategies, and audience targeting. Build, test, and optimize high-converting landing pages and lead funnels to ensure lead quality remains high. Manage conversion tracking, including Pixel setup, Conversion API (CAPI), and UTM tracking to ensure 100% data accuracy. Conduct rigorous A/B testing on creatives, headlines, and landing page elements to combat creative fatigue and audience saturation. Manage client accounts independently, providing strategic insights and presenting performance reports to stakeholders. Collaborate with the creative and account management teams to align campaign messaging with client goals. Oversee lead flow integration between Meta Ads, GoHighLevel CRM, and third-party automation tools. Requirements 5+ years of hands-on experience specifically managing Meta Ads (Facebook/Instagram) at scale. Proven track record in Lead Generation (not E-commerce) within sectors such as Renewable Energy, Home Services, Real Estate, or B2B. Mastery of Meta Ads Manager, including Advantage+ features, horizontal/vertical scaling, and CPL/CPM/CTR analysis. Deep technical knowledge of conversion tracking, attribution settings, and API integrations. Experience building and optimizing landing pages with a focus on Conversion Rate Optimization (CRO). Leadership experience with the ability to own client results and make high-level strategic decisions independently. Analytical mindset with the ability to translate complex data into actionable growth strategies. Exceptional communication skills and an agency-growth mindset. Nice-to-Haves Experience with GoHighLevel CRM and Zapier automation workflows. Familiarity with Google Ads (Search and Performance Max). Direct experience in the Solar or Renewable Energy industries. Experience managing multi-location or high-spend accounts. Benefits 💰 Competitive salary based on experience 🌎 Fully remote work environment 🚀 Direct path to Head of Paid Media leadership role 📈 Long-term stability in a high-growth sector 🎯 Performance-based incentives and professional autonomy 🛠️ Opportunity to work with industry-leading CRM and automation tools

Location: Ukraine; Poland; Georgia; Moldova; Armenia Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Software Engineer (.NET/C#) to enrich its team with a skilled professional. Project ​Developing the application for working with laboratory equipment. Work within the client's team, and full participation in the team means high level of responsibility and initiative. Responsibilities Design, develop, and maintain cloud-based using Microsoft .NET and C#. Collaborate closely with a multi-disciplinary, international team to deliver high-quality software solutions. Ensure adherence to clean code principles and contribute to elegant and pragmatic software designs. Participate in all stages of the software development lifecycle, including requirement analysis, architecture design, coding, testing, and deployment. Lead or contribute to the implementation of new features, enhancements, and bug fixes. Work with Docker, Kubernetes, or similar containerization tools to deploy scalable applications (experience in these technologies is a plus). Collaborate in a multi-site setup, ensuring smooth communication and alignment across teams. Requirements 5+ years of professional software engineering experience. Strong programming skills and software engineering fundamentals. Experience developing applications using C# and .NET . Experience building and maintaining modern software applications, including web and/or desktop solutions. Experience with REST APIs, data access technologies, relational databases, and industrial communication technologies such as OPC UA. Familiarity with cloud technologies and modern software deployment practices. Experience with Azure DevOps , including source control, work item management, and CI/CD pipelines. Experience working in Agile/Scrum development environments. Strong analytical and problem-solving skills. Ability to work effectively both independently and as part of a collaborative team. Strong communication skills and ability to work with technical and non-technical stakeholders. Experience with Blazor Experience with modern web, cloud, and data technologies such as Angular, React, Azure, MongoDB, or similar technologies is a plus. Domain familiarity with laboratory, scientific, industrial, or automation software is a plus. Strong verbal and written communication skills in English.

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Sr. Sales Engineer for , you will be the go-to product and technical expert for Alpaca's enterprise partners across. You will bridge technical and business conversations: a customer-facing engineer with strong API knowledge, experience supporting enterprise customers, and collaborating effectively with our global team. You will support enterprise partners and expand our base of enterprise partners, acting as the technical bridge between local partners, vendors, and regulators and Alpaca's global engineering team. What you will do: Provide technical support and relationship management for existing enterprise customers, acting as a trusted technical advisor throughout the partner lifecycle. Partner with the Sales and Solutions teams on pre-sales technical discussions, solution design, and API consultations, and present compelling product and technical use cases to prospective clients. Guide new enterprise customers through API integration, implementation, and onboarding. Act as the voice of customers by collaborating with Product and Engineering teams to improve localized experiences; translate complex business and technical requirements into clear specifications for Alpaca's global engineering team. Serve as the product and technical subject matter expert, capable of thoroughly understanding and articulating all aspects of the Alpaca platform to diverse audiences and stakeholders. Work closely with local compliance and operations teams to understand local and regional product requirements. Own technical sales engagement end-to-end: discovery calls, solution validation, RFPs, and security questionnaires that win deals; lead demo strategy and execution. Create sales support materials and documentation for new features and products, where needed. Coordinate with local regulators, vendors, and partners, and relay those requirements to global product and engineering. Help customers successfully adopt Alpaca's platform while maintaining a high standard of technical and customer support; travel as needed. Stay updated on internal product development timelines and work closely with the product team to test and roll out new features to partners. What we look for (Must-Haves): Experience supporting enterprise / B2B customers in a technical, sales engineering, or solutions engineering role (typically 5+ years), ideally at API or SaaS-first companies. Strong understanding of REST APIs, SDKs, and software integration workflows; hands-on experience with APIs, WebSockets, Postman, Grafana, and JSON. Able to translate complex technical concepts into simple, understandable terms. Self-starter who thrives in a startup environment, manages multiple assignments simultaneously, works independently, and drives projects to completion with close attention to detail. Who You Might Be (Nice-To-Haves): Experience in fintech, capital markets, brokerage, or financial APIs; experience at a Broker-Dealer or securities firms. Knowledge of brokerage, post-trade, and settlement operations, as well as regulatory context. Closing enterprise deals alongside Account Executives. US securities qualifications (e.g., SIE and/or Series 7). Familiarity with Metabase. Experience working with the FIX protocol. Experience working with OpenAPI, ReadMe, and documentation. Excited to learn more about the securities industry. Fluent in Spanish and/or Portuguese How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

As a Senior Product Manager, you’ll own the demand management solutions that keep ordering smooth when delivery capacity is stretched. You’ll work hands-on with Engineering and Data Science to turn real-time fleet saturation signals into product decisions that lift peak-time conversion and reduce cancellations.

Follow up promptly with warm leads who have requested information on our protection plans. Schedule and conduct virtual consultations via video conference to review client needs.

Location: Poland Workplace: Remote 🚀 We are Joyteractive - a leading mobile game developer and publisher specializing in the captivating world of puzzle games. Today, our team boasts 70+ rock star professionals, and we're on the lookout for talented individuals to help us dominate the world of puzzles! 🔝 Our flagship game, Cryptogram: Word Brain Puzzle, consistently ranks in the top word puzzle games in the US: 🏆 #1 in the Cryptogram niche by downloads ✏️ #3 in Word Games We’re looking for an experienced Art Director to join the Picture Blast Solitaire team. The role combines art, UX and game feel, covering how the game looks and how good it feels to play at every moment, in close collaboration with the product team. What are you working on? - Genres: Puzzle, Word Games, Casual - Platforms: Mobile, iOS, Android For which tasks (responsibilities)? - Review the current visuals and UX of the project and prepare a prioritized improvement plan - Improve game feel: animations, feedback on player actions, satisfying moments at key points of gameplay - Create and maintain the game’s style guide: palette, UI elements, fonts, rules for animations and effects - Develop the game’s visual style, including potential major changes such as backgrounds and the overall visual approach, and prepare variants for A/B tests - Lead the art team: set tasks, review work, give feedback, support growth - Set tasks for and review UX flows and interfaces - Set tasks for animations and VFX, review and accept results in the build - Take part in new feature development from the concept stage: the visual and UX side of the feature and its integration into the overall style - Review and approve all visual assets before they go into the game - Check visuals in the build on devices and set fix tasks for the development team What kind of professional are we looking for? - 3+ years in game development as an Art Director or Art Lead - Experience with mobile casual projects where visuals and game feel are key: puzzle, coloring, hidden object, merge, match-3, farm - Experience with a LiveOps product - A portfolio of projects where you were responsible for the visuals - Deep expertise in 2D art, UI/UX and game feel for mobile games - Experience leading an art team: setting tasks, reviewing work, hiring, developing artists - Experience setting tasks for and reviewing UI/UX in mobile games: mobile interface patterns, readability on small screens, onboarding - Understanding of animation and VFX production, including integration into Unity (Spine or similar), at the level of setting tasks and accepting results - Deep understanding of current AI tools for art - Understanding of mobile device technical constraints - Experience working in a product team in close collaboration with the producer, game design and development Nice to have - Experience independently defining the visual direction of a product that has been released - Experience working on successful projects with a multi-million audience - Experience organizing large-scale production of illustrated content in a consistent style - Hands-on experience implementing AI in art production What are the conditions and bonuses? - 🌴 18 business days of compensated day-offs - 8 paid Personal Days a year + 1 day is added every year - 👉 Flexible Public Holidays policy - ❤️‍🩹 100% Sick Leave compensation - 💻 Payment for wear and tear on equipment while using a personal computer - 🌐 Remote work

-Развивать REST API и бизнес-логику корзины, чекаута, доставки, заказов и оплаты. -Проектировать интеграции с внутренними сервисами: синхронные вызовы и обмен событиями через Kafka с использованием Protobuf и Avro.

Отвечать за путь пациентов в приложении и web; Развивать продукт и менять рынок цифровой медицины;

As a Senior Software Engineer, you’ll build and scale the internal Payments engine that handles payments for the entire Delivery Hero. Your work keeps checkout reliable and payment failures low for customers across our markets.

As a Customer Success Engineer at vCluster, you aren't just managing accounts — you are the primary architect of customer outcomes after the deal closes. Your Role and Impact Onboarding Ownership: Lead end-to-end customer onboardings — from the sales handoff through to project close.

Задачи: — Управление командами (Lead of Leads): курирование 5-6 кросс-функциональных команд, менторинг тимлидов, развитие их технических и управленческих компетенций, выстраивание процессов и синхронизация приоритетов. — Развитие микрофронтендной архитектуры: проектирование и внедрение решений для бесшовной интеграции независимых модулей в единый продукт, обеспечение гибкости, масштабируемости и отказоустойчивости системы. — Performance & Quality: системная работа над производительностью (скорость загрузки, время рендера, метрики Web Vitals), разработка эталонных технических практик и их масштабирование на все команды домена. — Инженерные вызовы (R&D): решение нестандартных задач, поиск и внедрение новых подходов, драйвер развития продуктовой и инженерной культуры. — Стратегическое развитие: формирование технического видения в связке с бизнес-целями, управление ресурсами, работа с техническим долгом, оценка рисков и коммуникация со стейкхолдерами топ-уровня. Требования: — Коммерческий опыт во frontend-разработке от 5 лет. — Уверенное глубокое владение Vue.js. — Релевантный управленческий опыт в роли TeamLead, успешное руководство командами от 5+ человек, опыт управления другими руководителями / Lead of Leads будет преимуществом. — Сильная архитектурная экспертиза: умение решать комплексные задачи, проектировать системы с нуля и проводить масштабный рефакторинг. — Опыт разработки сложных многопользовательских web-приложений. Будет плюсом: — Практический опыт внедрения Webpack Module Federation. — Разработка общих компонентов, UI-kit или Design Systems для нескольких проектов. — Участие в выстраивании культуры автотестирования (Unit, Integration, E2E) на уровне нескольких команд. — Знание современных подходов к frontend-архитектуре (Feature-Sliced Design, Microfrontends). Условия: — Удалённая работа из любой точки мира с возможностью посещения офиса в Москве. — Достойный уровень заработной платы. — Работа в сильной технической команде с экспертами. — Сложные задачи и использование новых технологий. — Отсутствие бюрократии и технологическая свобода. — Возможность карьерного роста и профессионального развития. — Открытая и свободная friendly среда. — 50% компенсация оплаты изучения английского языка. — Компенсация занятий спортом. — График работы: пять дней в неделю, гибкое начало дня.

Location: Remote, Canada; Remote, United States 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. As an Intermediate Backend Engineer on the GitLab Orbit team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You'll join a Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time. What you’ll do Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers. Maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform. Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads. Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience. Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team. Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness. Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase. Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing). Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups). Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase. Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role. Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time. Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow. A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems). Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions. Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team. About the team GitLab Orbit sits within the Data Engineering organization. We work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to 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 $115,200 — $162,000 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 .

- Автоматизация интеграционных тест-кейсов на Gherkin. - Cucumber framework (связка .feature + Java steps).

Location: San Francisco Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem. As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users. RESPONSIBILITIES - Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents. - Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products. - Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products. - Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms. - Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures. - Collaborate with top-tier academic and industry researchers in SII's external research network. - Publish findings at premier venues and contribute to the broader security research community. QUALIFICATIONS - Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy. - Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions. - Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product. - Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.