Вакансии

Location: Tblisi 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. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: Limassol 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. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

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. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls.

Location: London 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. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls. Working at Tripledot 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Daily Free Lunch: when in the office you get £12 every day to order from JustEat. Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover & Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash. Dental Cover: Opt-in (P11d benefit). Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: You'll join the Data Team, responsible for turning data into actionable insights and recommendations for our consumer sales and marketing operations across all channels. What you’ll be doing: - Own consumer sales analytics end to end: Ledger.com http://Ledger.com, Amazon, wholesale and resellers, from sell-in to sell-out, with one consistent view of revenue, units and margin - Measure the true incremental impact of pricing, promotions and marketing campaigns with rigorous causal methods and experiments, and turn the results into budget recommendations for the Growth team - Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting - Own performance marketing measurement (attribution, ROAS, CAC), reconciling ad platforms, GA4 and internal sales data into a single source of truth - Build and maintain Tableau dashboards that give business teams a clear, reliable view of their performance - Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions - Work as part of an AI-augmented team: use LLM-based workflows and AI agents daily to automate analyses and accelerate delivery - Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level What we’re looking for: - Proven hands-on data science experience applied to business decisions: you have run causal inference studies (CausalImpact, difference-in-differences, synthetic control, geo-experiments) and/or built predictive models (LTV, repurchase, propensity) whose results changed a budget or pricing decision - Strong statistical rigor: comfortable with experiment design, confidence intervals and power, and able to clearly say when a result shows no detectable effect - 2 to 4 years of experience in data analytics, analytics engineering or data science - Strong SQL - dbt skills are a plus - Tableau skills are a strong plus - Data driven and business oriented; able to challenge stakeholders' methodology - Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks are a strong plus At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.   We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: Barcelona 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. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls. Working at Tripledot 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands. Life & Critical Illness Cover: Protect your future with our life and critical illness cover. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Employee Assistance Program: Access confidential support anytime through our Employee Assistance Program. Sport Compensation: Stay fit and active with our sport compensation benefit. Meal and Transport Vouchers: Save on meals and transport with our convenient vouchers. English & Spanish Classes: Enhance your English and Spanish skills with our provided language classes. Continuous Professional Development: Propel your career with continuous opportunities for professional development.

Location: Warsaw 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. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based. Key Responsibilities Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. Required Skills, Knowledge and Expertise Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. The ability to work with product and other teams to turn analysis into operational fraud controls. Working at Tripledot 26 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Private Medical Cover with Luxmed: Have peace of mind with private medical cover, ensuring your and your family's health is in good hands. Daily Free Lunch: When working in the office order free food from Pyszne.pl Multisport Plus Card: Enjoy access to various sports facilities across Warsaw with the Multisport Plus Card. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Continuous Professional Development: Propel your career with continuous opportunities for professional development. English & Polish Classes: Improve your language skills with access to English and Polish classes. This organization operates in compliance with the Whistleblower Act, for more information or to report violations please email whistleblowerpoland@tripledotstudios.com

Задачи: — Искать точки роста: разбираться, где и почему сценарий работает недостаточно хорошо, формулировать гипотезы, проводить эксперименты и доводить изменения до продакшена. — Развивать систему оценки качества еком-агентов: проектировать автоматизированные eval-пайплайны для оценки качества работы агентов. — Работать с данными и моделями: собирать датасеты, разбираться в логах, решать проблемы качества данных, использовать классические ML-модели, LLM, VLM и другие методы. — Развивать аналитическую систему: поддерживать систему данных, на которой строится аналитика еком-агентов, включая витрины, метрики и документацию. Требования: — Уверенное владение Python и SQL. — Опыт работы с большими объёмами событийных данных и логами. — Опыт работы с пайплайнами обработки данных и инструментами оркестрации. — Понимание принципов работы LLM-систем, AI-агентов и классического ML. Условия: — Гибридный формат работы (офис и удалёнка). — Дополнительные бонусы и комьюнити внутри компании Яндекс.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Задачи: — Проверять адреса и транзакции, разбирать алерты и проводить расследования на платформе; — Оценивать качество данных, понятность риск-оценки и удобство подготовки отчётов (находить ошибки, пробелы и лишние действия); — Сравнивать рабочие сценарии с привычными инструментами и выявлять, что мешает получить надёжный результат; — Предлагать улучшения с конкретными примерами, формулировать требования вместе с продуктовой командой и проверять реализованные изменения. Требования: — Практический опыт крипто-AML/KYT на бирже, в криптоплатёжном / кастодиальном сервисе или финансовой организации (ориентир — от 2 лет, важнее глубина практики); — Регулярная работа в Chainalysis, TRM, Crystal, Elliptic или аналогичном инструменте в текущей или недавней роли; — Самостоятельное ведение кейсов: от проверки транзакции до обоснованного заключения для руководителя/проверяющего; — Умение проверять источники, объяснять ограничения данных и понятно излагать выводы; — Рабочий английский язык для общения и работы с документацией (внутри команды — русский); — Вакансия предполагает выполнение тестового задания. Будет плюсом: — Опыт работы с несколькими аналитическими платформами; — Опыт участия во внедрении или настройке инструмента; — Опыт углублённых расследований и отслеживания средств между сетями (программирование не требуется).

Задачи: — Исследовать актуальные угрозы, тактики, техники и процедуры (TTP) APT, анализировать современные методы проведения кибератак; — Разрабатывать алгоритмы выявления угроз: создавать правила и сценарии детектирования; — Разрабатывать сценарии реагирования и рекомендации по обработке инцидентов информационной безопасности; — Участвовать в проектных и иных активностях в качестве эксперта ИБ; — Развивать продукты компании, повышая качество механизмов обнаружения угроз и реагирования на инциденты; — Автоматизировать процессы анализа и детектирования угроз, развивать собственную экспертизу и делиться знаниями внутри команды. Требования: — Знание современных тактик и техник атакующих, основных векторов атак, способов их обнаружения; — Знание принципов работы сетевых протоколов, операционных систем и веб-приложений; — Опыт использования или понимание принципов работы решений классов Threat Intelligence (TI); — Умение анализировать журналы регистрации событий различных информационных систем, СЗИ, ОС, сетевого оборудования, СУБД, приложений и т.п; — Опыт в расследовании инцидентов информационной безопасности; — Умение эмулировать действия APT в тестовой среде для проверки сценариев обнаружения; — Опыт разработки сложных правил корреляции и сценариев детектирования для SIEM; — Опыт администрирования Linux/Unix и Windows; — Опыт разработки скриптов на Bash, Python и PowerShell. Будет плюсом: — Наличие профессиональных сертификатов (OCSP, SANS, CISSP); — Опыт участия в CTF или в проведении Pentest; — Понимание жизненного цикла атак (Cyber Kill Chain, MITRE ATT&CK); — Опыт работы с Kubernetes, Docker, VMware; — Опыт работы в SOC; — Опыт публичных выступлений и подготовки технических материалов; — Высшее образование по направлению ИТ и/или ИБ. Условия: — Работа в гибридном формате в офисе класса «А» в двух шагах от ст. м. Римская/Площадь Ильича или удаленный формат работы на территории РФ; — Достойная оплата труда, соответствующая профессиональному уровню и компетенциям; — Статус аккредитованной ИТ-компании со всеми преимуществами; — ДМС со стоматологией и госпитализацией по всей России, страхование от несчастного случая, полис ВЗР для поездок за границу, ветеринарная поддержка; — 100% компенсацию больничного, +10 дополнительных дней в году на отгул по болезни; — Регулярный обмен обратной связью по системе полугодового Performance Review; — Возможности для обучения и профессионального развития: корпоративную библиотеку, менторство, внутренние митапы по обмену опытом, практику публичных выступлений, возможность участвовать в создании контента для профессиональных сообществ; — Программу корпоративных скидок и привилегий; — Развитую корпоративную культуру: открытую коммуникацию, онлайн и офлайн встречи, клубы по интересам, спортивные активности и поддержку инициатив сотрудников.

Location: Estonia - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: Wrike relies on a dynamically changing set of integrated SaaS tools, and securing them requires dedicated, end-to-end ownership of their data security posture. Asking questions like what data is collected, why, how long it’s retained, and how it flows between systems. As Business Systems Security Analyst, you will own this space by establishing continuous data governance, SaaS integration governance, and identity & access management across our business systems. Helping Wrike stay proactive and prevention-focused rather than reactive. Your Impact: Own data governance across business systems: what’s collected, why, retention, and data flows between systems Govern SaaS integrations: inventory, risk assessment, and secure onboarding/offboarding of third-party tools Manage and review access provisioning and deprovisioning across integrated SaaS platforms, ensuring least-privilege principles are enforced throughout the identity lifecycle Oversee SSO configurations, OAuth scopes, and service account permissions across business-critical systems, identifying overprivileged accounts and stale access Monitor and help harden the security posture of business-critical SaaS platforms and their connected tools Conduct periodic access reviews and certifications for SaaS platforms, with a focus on privileged and third-party system accounts Conduct security reviews of integrations from a data flow perspective before they connect to business-critical systems, including evaluating IAM implications such as API keys, OAuth tokens, and service accounts Partner with system owners to remediate risks and embed security into business processes Focus on AI-driven integration workflows: MCP, A2A, and emerging agent-based protocols Your Qualifications: Experience securing SaaS business platforms and their integrations, including identity and access management across those environments Solid understanding of data governance principles: data classification, retention, and data flow mapping Technical hands-on skills: ability to independently investigate configurations, permissions, API connections, and logs across SaaS platforms Knowledge of integration best practices: secure API design, least-privilege service accounts, token/secret management, and integration lifecycle management Understanding of AI tooling and its security implications: how AI-powered tools access, process, and store business data Experience with third-party/vendor risk assessment and SaaS security posture management Ability to work cross-functionally with business system owners (Sales Ops, Marketing Ops, RevOps) Standout Qualities: Hands-on experience with SSPM tools or Salesforce security tooling Familiarity with OAuth/API integration security and supply-chain risk Experience with AI-driven data flows and integrations (e.g., MCP, A2A, agent-based workflows) Knowledge of Salesforce is a strong plus Team Dynamics: You will be joining Wrike's 15-member global Security team led by Maksim Pekuryn, Director of Security. You will report directly to Swen Groeneveld, Head of Security Operations, whose 8-person sub-team includes Security Engineers, Application Security, and SOC specialists. You'll also work closely with cross-functional partners in RevOps, Marketing, and Legal. Our Work Style: Tech stack: Salesforce, Marketo, Salesloft, OAuth integrations, connected apps, and related business SaaS tooling. Collaborative environment working closely with RevOps, Legal, and Marketing teams. Hybrid mode. Benefits & Perks: 28 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Health Insurance (Employees + Dependents) Life Insurance Plan Utility Allowance (30 EUR/month, subject to taxation) Fitness Plan (800 EUR/year) Full-remote & On-demand access to Co-working space What's Next? Recruiter Screen (30 mins) Department Interview / Technical Discussion (60 mins) Cultural Interview with Hiring Manager, CISO, and HRBP Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: Wrike relies on a dynamically changing set of integrated SaaS tools, and securing them requires dedicated, end-to-end ownership of their data security posture. Asking questions like what data is collected, why, how long it’s retained, and how it flows between systems. As Business Systems Security Analyst, you will own this space by establishing continuous data governance, SaaS integration governance, and identity & access management across our business systems. Helping Wrike stay proactive and prevention-focused rather than reactive. Your Impact: Own data governance across business systems: what’s collected, why, retention, and data flows between systems Govern SaaS integrations: inventory, risk assessment, and secure onboarding/offboarding of third-party tools Manage and review access provisioning and deprovisioning across integrated SaaS platforms, ensuring least-privilege principles are enforced throughout the identity lifecycle Oversee SSO configurations, OAuth scopes, and service account permissions across business-critical systems, identifying overprivileged accounts and stale access Monitor and help harden the security posture of business-critical SaaS platforms and their connected tools Conduct periodic access reviews and certifications for SaaS platforms, with a focus on privileged and third-party system accounts Conduct security reviews of integrations from a data flow perspective before they connect to business-critical systems, including evaluating IAM implications such as API keys, OAuth tokens, and service accounts Partner with system owners to remediate risks and embed security into business processes Focus on AI-driven integration workflows: MCP, A2A, and emerging agent-based protocols Your Qualifications: Experience securing SaaS business platforms and their integrations, including identity and access management across those environments Solid understanding of data governance principles: data classification, retention, and data flow mapping Technical hands-on skills: ability to independently investigate configurations, permissions, API connections, and logs across SaaS platforms Knowledge of integration best practices: secure API design, least-privilege service accounts, token/secret management, and integration lifecycle management Understanding of AI tooling and its security implications: how AI-powered tools access, process, and store business data Experience with third-party/vendor risk assessment and SaaS security posture management Ability to work cross-functionally with business system owners (Sales Ops, Marketing Ops, RevOps) Standout Qualities: Hands-on experience with SSPM tools or Salesforce security tooling Familiarity with OAuth/API integration security and supply-chain risk Experience with AI-driven data flows and integrations (e.g., MCP, A2A, agent-based workflows) Knowledge of Salesforce is a strong plus Team Dynamics: You will be joining Wrike's 15-member global Security team led by Maksim Pekuryn, Director of Security. You will report directly to Swen Groeneveld, Head of Security Operations, whose 8-person sub-team includes Security Engineers, Application Security, and SOC specialists. You'll also work closely with cross-functional partners in RevOps, Marketing, and Legal. Our Work Style: Tech stack: Salesforce, Marketo, Salesloft, OAuth integrations, connected apps, and related business SaaS tooling. Collaborative environment working closely with RevOps, Legal, and Marketing teams. Hybrid mode. Benefits & Perks: 25 working days of paid vacation Sick Leave Compensation (5 Uncertified + 10 Certified Days) Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Life Insurance (Employees) Provident Fund Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Work Permit, Blue Card & Naturalization Support What's Next? Recruiter Screen (30 mins) Department Interview / Technical Discussion (60 mins) Cultural Interview with Hiring Manager, CISO, and HRBP Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Seoul, South Korea At Pixelogic, we believe that the fusion of creativity and technology holds the power to inspire and engage audiences on a global scale. With a strong emphasis on end-to-end creative, localization, and distribution services, we take pride in breaking cultural barriers and ensuring your message resonates with diverse audiences worldwide. Our dynamic team of creative minds, skilled linguists, and tech-savvy experts work collaboratively to deliver unparalleled solutions that cater to your unique needs. From creative concepting and execution of original content, to precision-driven localization services, to cutting-edge software and distribution solutions, we are committed to elevating your product and enabling seamless expansion into new markets. Pixelogic is a majority-owned and consolidated subsidiary of Imagica. Together, we are committed to serving the world’s leading filmmakers and content creators with industry-leading services and next-generation solutions. Job Description: The position of Manager of Finance, Planning and Analysis APAC is a newly created role within Pixelogic Media, Seoul to support the VP & GM, APAC and the central Corporate Services in the United States. The successful individual has a desire to build strong relationships with business line heads and non-financial stakeholders through effective business partnering. There is also plenty scope for the new appointment to enhance existing processes as well as regular business planning, forecast and management information reports. Responsibilities: ·         Responsible for accurate preparation on the consolidated (P&L, balance sheet, and cash flow) monthly financial results, quarterly forecasts and annual budgets of the Company’s business units to senior management and external parties. ·         Review and monitor key changes between actual results vs. current forecast, budget, prior month and prior year, and oversee the preparation and presentation of variance explanations to senior management. ·         Support both the interim and year-end financial audits, including dealing directly with the external auditors and tax advisors on issues and with those in accounting to compile information Manage and oversee entire order to cash process incl. sales and purchase invoicing. ·         Heavy data reconciliation to ensure the accuracy and integrity of project financial data being reported correctly. ·         Ensure compliance with Pixelogic’s global business processes in the area of financial management. ·         Assist in all other areas as needed. Requirements ·         Professional accounting or finance qualification. ·         Proven experience as a finance/admin manager in company with international footprint. ·         Bachelor’s degree in Business, Finance, or Accounting with a CPA. ·         Experience in the media industry preferred. ·         Highly proficient in Microsoft office, specifically Microsoft Excel. ·         Skilled in billing, reporting, analysis, problem solving and relationship building. ·         Excellent verbal and written communication skills. ·         Strong attention to detail, organizational, problem-solving and high level math skills.

Задачи: — обеспечивать управление полным циклом разработки правил корреляции; — анализировать ложноположительные инциденты и добавлять исключения в SIEM; — выполнять роль клиентского аналитика; — продвигать развитие технологической платформы в части работы с SIEM системами и увеличивать эффективность процесса управления библиотекой корреляционных правил; — взаимодействовать с заказчиками по техническим вопросам; — проводить обучение и делиться опытом с другими аналитиками. Требования: — знание основных векторов атак на корпоративные сети и способы противодействия; — знание современных методов классификации тактик и техник атакующих (Mitre Attack, Kill Chain); — опыт работы с MaxPatrol SIEM или KUMA SIEM; — умение анализировать журналы регистрации событий в различных системах (ОС, СЗИ, сетевое оборудование, прикладное ПО, access логи и др); — умение разрабатывать логику детектирующих правил по обнаружению атак и аномалий. Условия: — собственная платформа MTS Ocean для получения ИТ-ресурсов, позволяющая сосредоточиться на фичах; — профессиональные гильдии инженеров для поддержки и развития; — внутренняя площадка TechTalks для обмена опытом и развития навыков самопрезентации; — участие во внешних IT конференциях (HighLoad++, DataFest, Mobius, Test Driven Conf, Joker, DevOps, Матемаркетинг, True Tech Arch); — полезные курсы и вебинары в корпоративном университете и электронная библиотека; — ДМС с первого месяца работы, включая стоматологию; — страхование от несчастных случаев с 1 месяца работы; — материальная помощь в сложных жизненных ситуациях; — отпуск 28 календарных дней (+3 дополнительных дня за ненормированный рабочий день); — прием врачей общей практики и массаж в офисе; — мобильная связь за счет компании и льготные тарифы для близких; — подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Задачи: — Участвовать в проекте импортозамещения учетной системы, включая валидацию проектных решений, приемо-сдаточные испытания, запуск в промышленную эксплуатацию и дальнейшее развитие системы — Проводить обследование процессов, собирать и формализовывать требования, выявлять функциональные разрывы, оценивать их приоритет, трудоемкость и влияние на обновление системы, предлагать альтернативные варианты реализации — Готовить функциональные и технические задания на разработку форм, программ и отчетов, тестировать выполненные доработки и участвовать в их приемке — Взаимодействовать с вендором, подрядчиком, пользователями и специалистами смежных подразделений, обучать пользователей работе с системой Требования: — Участие не менее чем в 2 проектах в роли функционального лидера по одному или нескольким блокам, включая управленческий учет, консолидацию и ВГО, казначейство, бюджетирование — Опыт работы с 1С Управление холдингом, в том числе по направлениям контроль лимитов, закупки, казначейство, МСФО, консолидация — Опыт обследования бизнес-процессов, формулирования требований, проектирования процессов бухгалтерского учета, подготовки качественной функциональной и технической документации — Опыт тестирования доработок и обучения пользователей — Знание нотаций моделирования бизнес-процессов — Образование, дополнительное образование или практический опыт в финансово-экономической сфере — Обязателен опыт проектирования одного или нескольких блоков МСФО, казначейство, бюджетный контроль, управленческий учет в роли лидера блока или функционального архитектора — Будет плюсом: Сертификация по бухгалтерскому учету и или МСФО Условия: — Официальное оформление в аккредитованную IT-компанию — Формат работы: удалённо или гибрид (гибрид — для Тюмени)

Задачи: — Анализировать и расследовать оповещения для выявления, оценки и реагирования на потенциальные угрозы. — Сотрудничать с командой и командами безопасности клиентов для устранения инцидентов и укрепления защиты. — Проводить охоту за угрозами и анализ первопричин для выявления активности злоумышленников. — Вести полный цикл обработки оповещений от обнаружения до разрешения. — Постоянно искать способы улучшения методов обнаружения, защиты и обслуживания клиентов. — Участвовать в круглосуточном ротационном графике, так как атаки не прекращаются. Требования: — Честность, любознательность и ориентация на клиента. — Сильные письменные коммуникативные навыки с умением адаптировать стиль для разных аудиторий. — Базовое понимание TCP/IP, операционных систем и распространённых сетевых протоколов. — Опыт работы с Windows, macOS и Linux, включая командную строку. — Знание облачных приложений (O365, Okta) и облачной инфраструктуры (AWS, Azure, GCP). — Знакомство с инструментами обнаружения и реагирования, такими как SIEM, EDR, IDS/IPS. — Интерес к техникам злоумышленников, фреймворку MITRE ATT&CK и методам защиты. — Предпочтительно 1–2 года опыта в IT или безопасности, но важны страсть и потенциал. Условия: — Базовая зарплата от $85,000 до $90,000 в год + 20% бонус (выплачивается ежеквартально) и акции. — Прозрачная и справедливая система оплаты. — Неограниченный оплачиваемый отпуск, гибкий график работы, до 24 недель отпуска по уходу за ребёнком. — Отличные медицинские льготы. — Требуется разрешение на работу в США, спонсорство виз не предоставляется. — Компания обеспечивает равные возможности и поддержку для людей с ограниченными возможностями.