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Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As a Data Engineer , you will play a crucial role in our data team, contributing to developing and maintaining data pipelines and systems. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics. Your responsibilities will encompass data ingestion, transformation, and delivery, as well as maintaining and optimizing data infrastructure. The Data Engineer is expected to contribute to developing and maintaining data infrastructure, ensuring data reliability and availability. You should be able to work independently and as part of a team, adapting to changing data needs and collaborating with data professionals to provide valuable insights to the organization. Staying current with data engineering best practices and emerging technologies is essential for success in this role. Responsibilities: Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability. Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency. Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment. Monitor and address data quality issues, implement data validation processes, and establish data governance practices. Manage and optimize data storage, processing, and distribution systems, ensuring scalability and performance. Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver solutions that meet business needs. Document data engineering processes, pipelines, and systems to maintain clear and accessible knowledge for team members. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Minimum of 3 years of experience in data engineering or a related field. Proven experience with Redshift and Snowflake. Experience with DBT. Experience with Apache Airflow for workflow orchestration. Proficiency in Python for data pipeline development and scripting. Experience with AWS cloud services, including S3, EC2, and EMR. Familiarity with Kafka for real-time data streaming. Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker). Project management skills using Jira or similar tools. Ability to collaborate effectively with cross-functional teams and understand business data needs. Strong problem-solving skills, a proactive approach to troubleshooting data issues, and critical thinking abilities. Adaptable and open to learning new technologies and methodologies. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Generative video has a problem most subscription businesses don't: every unit we sell costs us real compute. A stolen password costs a streaming service nothing. An account farm on an unlimited generation plan costs us GPU-seconds, at scale, every hour it runs. We have found organised operators running hundreds of accounts on a single card, reselling unlimited generations, and harvesting per-account promotional grants at industrial scale. We have also found that most of our negative-margin accounts are not abuse at all — they are ordinary heavy users on an unlimited plan, which is a pricing problem wearing a fraud costume. Telling those two populations apart, at account level, before the money is gone, is this job. You own the question of who is taking value they did not pay for, and the system that stops them. You make sure: - We catch abuse before the compute is burned, not in a post-mortem that reconciles the loss - Every enforcement action has a measured precision, a measured cost of being wrong, and a way back for the customer we got wrong - The difference between fraud and unprofitable pricing is a number we can defend, not a vibe - When operators adapt — and they will, within days — we find out from a monitor, not from the monthly margin review WHAT YOU WILL DO Detection & scoring - Own the account-abuse scoring system end to end: signals, weights, thresholds, the scoring job, the monitoring, and the recalibration when it decays. - Build detection that fires early. A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars. - Work the two halves that actually matter together: linkage (who is connected to whom) and economics (what are they consuming). Either one alone produces a system nobody can switch on — linkage without economics flags families sharing a card, economics without linkage flags our best customers. - Treat cost as a gate, not a label. On an unlimited plan, being gross-margin negative is normal. Entity resolution & ring detection - Find rings, not just accounts: shared payment instruments, IP and ASN concentration, email-stem families, synchronised registration bursts, behavioural fingerprints, automation signatures. - Do it without a reliable device fingerprint — we do not have one today, and part of this job is telling us what it would be worth and what it would cost. - Know where graph methods break. Transitive closure through a shared card will happily merge thousands of unrelated people into one "ring"; we have done exactly that and thrown the result away. Enforcement, policy & the cost of being wrong - Design graduated, reversible actions — throttle, rate-limit, step-up verification, hold, pre-grant refusal, manual review queue, ban — and match the severity to the confidence. - Own the false-positive budget explicitly: how many paying customers are we willing to inconvenience to save a dollar of compute, and what is the appeal path for the ones we get wrong. - Build the pre-grant gates. The cheapest abuse to stop is the kind we decline to enable in the first place — a trial we do not grant costs nothing to claw back. - Partner with Payments on Stripe Radar, chargebacks and dispute economics; with Support on the queue your model creates; with Legal on what our Terms actually entitle us to do. Measurement & adversarial monitoring - Quantify what the system is worth in money — COGS avoided, net of the revenue you destroyed and the support cost you created. Keep that number current. - Run holdouts even on enforcement, wherever it is legal and safe to do so, because otherwise you will never know what your rules are worth. - Monitor for adaptation, not just drift. Model decay here is caused by an adversary, and it looks different: a signal stops firing, a ring changes shape, a cohort's behaviour shifts inside a week. - Watch your own inputs. A detection system that silently loses a feature degrades to a system that cannot reach its own threshold — and reports nothing wrong while doing it. Making it usable - Ship scores and reasons, never scores alone. An analyst, a support agent or an auditor must be able to read why an account was actioned. - Produce evidence that survives outside the company. Our abuse work has already been used in an external audit and in Terms-of-Use enforcement; write for that standard. - Work in SQL, Python and BigQuery on raw event, payment and generation data. We use AI heavily — resourcefulness beats syntax. WHO WE'RE LOOKING FOR - Experience building abuse, fraud or trust-and-safety detection that actually took action on real users — payments fraud, promo abuse, multi-accounting, bonus abuse, account takeover, marketplace or gaming abuse. Anti-money-laundering and credit-risk backgrounds transfer if the modelling was yours. - Genuine understanding of the adversarial setting: that your counterparty responds, that your training labels are generated by your own past decisions, and that offline AUC on a censored label set is close to meaningless. - Strong SQL and Python on raw event data without help: joins across payments, usage and identity, window functions, cohort replay. Gradient boosting, and the judgment to know when a two-condition rule beats a model. - Comfort with graph and linkage thinking — connected components, shared-attribute clustering, and an instinct for when a link is evidence and when it is coincidence. - Precision-first evaluation instincts: precision at the operating point, cost-weighted error, and why you would take 20% recall at 90% precision over the reverse in an enforcement system. - Unit-economics literacy: gross margin per account, what compute actually costs us, why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk data scientists from fintech, payments, marketplaces, gaming or crypto - Trust & safety and platform-integrity teams who owned detection and enforcement policy - Growth or product data scientists who ended up owning promo-abuse because nobody else would - Analysts from payment processors, PSPs or chargeback/dispute operations who moved into modelling WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build content-moderation or NSFW classification — that is a different function here - Would ship a ban list without knowing its precision - Optimize AUC on a label set your own enforcement created, and call it validated - Need a labelled fraud dataset to exist before you can start - Treat every negative-margin account as an abuser - Are uncomfortable that being right 90% of the time means being wrong about real, paying, legitimate people — and that you own what happens to them - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

– Развивать платформу данных; – Разрабатывать и оптимизировать ETL/ELT-процессы;

Задачи: — Развивать платформу данных; — Разрабатывать и оптимизировать ETL/ELT-процессы; — Работать с batch- и streaming-пайплайнами; — Развивать модели данных и хранилище.

⁃ Развивать Data Lakehouse и единое DWH. ⁃ Строить ETL/ELT-пайплайны от источника до готовой витрины.

Location: OSLO, Norway About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, you can grow your career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world. Our Key Account teams create and build our relationships with merchants. Together, we’ve helped big retail brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career. As our new Junior Account Manager you’ll manage and develop a portfolio of retail partners, focusing on building strong relationships, using data to drive performance, and delivering results for Wolt, our partners, and our customers. What you’ll be doing Day-to-day in this role you’ll: Develop and foster partner relationships with your portfolio of key accounts Conduct quarterly business reviews with partners to deepen relationships, review performance, and develop forward-looking strategies Determine the needs and wants of merchants, prioritize them by impact on the business, and co-create solutions Strategically introduce and execute on new Wolt product opportunities to broaden partnerships and increase partner revenue streams Drive revenue growth of Wolt and partners in your portfolio by improving venue performance through a data-based approach Act as a key communicator between our operations, support, marketing, and partners Work closely with the marketing team to plan and execute promotional campaigns that increase user acquisition and retention, drive our growth, and support partner performance Bring structure and hands-on contribution in a still-developing environment Lead/co-lead projects across different partners and verticals, coordinating teams and stakeholders to keep work on track from planning through launch. Support the Retail team with projects and analyses across different partners and verticals. Our humble expectations 1 to 3 years of success in account management or B2B sales with clear commercial impact. Strong relationship builder with excellent interpersonal skills Analytical mindset with experience using tools like LookerHigh ownership and a team-first attitude. You manage your pipeline and seek guidance only on new or more complex work. Fluent in Norwegian and English, both written and spoken. Consultant, marketing and sales experience are a plus What we offer At Wolt, you get the best of both worlds: the dynamic energy of a scale-up with a highly sought-after product, combined with the stability of a well-established company with strong owners and a long-term outlook. A unique opportunity to join a growth journey where your ideas about the direction of the company are welcome, and where you can contribute to developing new tools and ways of working A Competitive Salary Package and Benefits Health Insurance Employee Assistance Programme - therapy and wellbeing; Employee discount on all Wolt orders Why you’ll love it 🚀Global and growing fast: Be part of a fast-moving scaleup 🤩Ride of a lifetime: Accelerate your career and build your sales skills 💪Instant impact: Take ownership and make a difference 💙Big hearts and small egos: Surround yourself with smart, friendly people Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going! We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today!  💙 Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Remote, Australia 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 Based in Sydney, as a Senior Solutions Architect in GitLab's ANZ team, you'll be a trusted advisor to GitLab prospects and customers in the region, helping them understand how GitLab's AI-powered DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle. You'll guide organisations through their digital transformation journeys, from planning through monitoring, using your technical expertise, understanding of cloud and modern software development practices, and strong customer empathy. You will partner closely with Account Executives and cross-functional teams, own technical evaluations, including proofs of value and workshops, shape solution architectures, and serve as the voice of the customer back to Product Management. You'll focus on driving successful platform adoption, influencing revenue growth through solution selling, and building long-term, trust-based relationships that showcase GitLab's differentiated position in an AI-driven DevSecOps landscape. What you'll do Lead technical discovery, demos, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full lifecycle. Drive the technical evaluation process as the directly responsible individual, including solution design, proof of concept or proof of value ownership, workshop design, and the technical components of tenders, audits, and value stream assessments. Collaborate with Account Executives and regional sales teams across ANZ to shape and execute account strategies that support new customer acquisition and expansion. Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven transformation and enabling them to become GitLab advocates. Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment. Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning. Maintain and extend your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies, creating reusable examples, best practice guidance, and technical collateral for customers and partners. Invest in your own growth and development through ongoing learning, mentorship, and knowledge sharing to continuously improve the impact of the Solutions Architect team. What you'll bring Experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation. Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices and continuous integration and continuous deployment workflows. Hands-on experience with GitLab or comparable source control, continuous integration and continuous deployment, and collaboration platforms, and the ability to map platform capabilities to customer use cases. Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams. Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments. Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers. Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing. Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields. About the team The Solutions Architect team is part of GitLab's Sales organisation and serves as the technical counterpart to Account Executives, with this role focused on opportunities across ANZ. The team helps customers realise the full value of GitLab's AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. The team is focused on helping customers modernise end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape. 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: Warsaw, Poland [EN] We are looking for an experienced Level Artist to join our art team. As a Level Artist, you will have the opportunity to shape immersive and visually captivating game environments. Your role will involve closely following references, and art direction to create levels that align with the game’s atmosphere, story, and style. Having a keen eye for detail and the ability to work independently, you will take the initiative to create a visually appealing world. Your creative input and artistic expertise will contribute to the overall visual excellence of the games. Responsibilities: Compose and dress environments to support gameplay readability, player navigation, and visual storytelling Maintain visual quality and consistency of levels according to the project's quality bar and art direction Gather and organize reference materials for environment assets Follow studio pipelines, naming conventions, and asset management guidelines Assemble and modify modular environment assets to build architectural and environmental spaces Prepare visual breakdowns, reference boards, and asset lists when required Act as production and artistic support for the Lead Level Artist Integrate environment assets and textures into the level Optimize levels for performance in collaboration with Tech Art and Design (draw calls, LODs, streaming) Set up asset properties related to visuals and performance (LODs, collisions, materials) Support bug fixing and visual polish throughout production and testing Verify level quality in engine and make necessary improvements [PL] Opis stanowiska Poszukujemy doświadczonego Artysty Lokacji, który dołączy do naszego zespołu. Na tym stanowisku będziesz mieć okazję współtworzyć immersyjne i urzekające wizualnie środowiska gry. Twoja rola będzie polegać na ścisłej pracy z materiałami referencyjnymi oraz kierownictwem artystycznym, aby tworzyć poziomy spójne z atmosferą, fabułą i stylem gry. Szukamy osoby z dużym zmysłem estetycznym i umiejętnością samodzielnej pracy, która wykaże się inicjatywą w kreowaniu atrakcyjnego wizualnie świata. Twój wkład kreatywny i doświadczenie artystyczne wpłyną na najwyższą jakość wizualną naszych produkcji. Obowiązki: Komponowanie i aranżowanie przestrzeni w celu zapewnienia czytelności rozgrywki, intuicyjnej nawigacji gracza oraz opowiadania historii poprzez otoczenie Utrzymywanie jakości wizualnej i spójności poziomów zgodnie z założeniami projektu i kierunkiem artystycznym Zbieranie i organizowanie materiałów referencyjnych dla elementów otoczenia Przestrzeganie wewnętrznych procesów produkcyjnych, zasad nazewnictwa plików oraz wytycznych dotyczących zarządzania zasobami Składanie i modyfikowanie modułowych elementów otoczenia w celu budowania przestrzeni architektonicznych i krajobrazowych Przygotowywanie zestawień wizualnych, tablic referencyjnych oraz list potrzebnych obiektów w razie potrzeby Implementacja elementów środowiskowych i tekstur bezpośrednio na poziomach gry Optymalizacja poziomów pod kątem wydajności we współpracy z działem grafiki technicznej i projektowej (wywołania rysowania, poziomy szczegółowości, strumieniowanie danych) Konfiguracja właściwości obiektów związanych z wyglądem i wydajnością (poziomy szczegółowości, kolizje, materiały) Pomoc w usuwaniu błędów i dopracowywaniu warstwy wizualnej na etapie produkcji i testów Weryfikacja jakości poziomów bezpośrednio w silniku i wprowadzanie niezbędnych poprawek Requirements Understanding of architectural and natural environment composition, scale, and structure Knowledge of gameplay readability, player navigation, and visual guidance principles Experience optimizing levels for real-time engines (LOD, draw calls, streaming,etc.) Strong modeling skills for modular environment assets Experience with Maya and/or Blender Experience with material blending and vertex painting systems Proficiency in Unreal Engine or similar real-time engines Experience with Substance Painter/Designer Understanding of physically based rendering (PBR) workflows and material standards Strong eye for detail and consistency with the project’s art style Ability to collaborate effectively in a multidisciplinary team Nice to have: Knowledge of material optimization techniques for real-time engines Basic understanding of lighting principles and experience adjusting lighting in real-time engines Experience with procedural tools such as Houdini is a plus Experience working on shipped titles [PL] Wymagania minimalne: Rozumienie zasad kompozycji, skali i struktury w architekturze oraz środowisku naturalnym Rozumienie jak zapewnić czytelność rozgrywki, nawigacji gracza oraz prowadzenia go za pomocą wzroku Doświadczenie w optymalizacji poziomów pod kątem silników czasu rzeczywistego (poziomy szczegółowości, wywołania rysowania, strumieniowanie danych itp.) Wysokie umiejętności modelowania modułowych elementów otoczenia Doświadczenie w pracy z programami Maya lub Blender Doświadczenie w pracy z systemami mieszania materiałów oraz malowania wierzchołków Biegłość w obsłudze Unreal Engine lub pokrewnych silników czasu rzeczywistego Doświadczenie w pracy z programami Substance Painter i Designer Rozumienie etapów pracy z fizycznym renderowaniem materiałów oraz standardów ich tworzenia Duże wyczucie estetyczne oraz umiejętność zachowania spójności ze stylem artystycznym projektu Umiejętność efektywnej współpracy w interdyscyplinarnym zespole Mile widziane: Znajomość technik optymalizacji materiałów w silnikach czasu rzeczywistego Podstawowe zrozumienie zasad oświetlenia oraz doświadczenie w jego regulacji w silnikach czasu rzeczywistego Doświadczenie w pracy z narzędziami proceduralnymi, takimi jak Houdini, będzie dodatkowym atutem Doświadczenie przy pracy nad wydanymi tytułami Benefits [EN] Medical Care package MyCafeteria system - including Multisport card and more Employee Assistance Program (EAP), offering confidential legal, financial, and personal counseling English or Polish language classes Sensibly flexible working hours Additional benefits: Care Bonus to cover health, educational and safety needs, corporate parties and team buildings [PL] Pakiet opieki medycznej System MyCafeteria – w tym karta MultiSport i wiele więcej Program Wsparcia Pracowników (EAP) – oferujący poufne porady prawne, finansowe oraz psychologiczne/osobiste Lekcje języka angielskiego lub polskiego Elastyczne godziny pracy (w ramach potrzeb projektu) Benefity dodatkowe: Care Bonus (pokrywający wydatki związane ze zdrowiem, edukacją i bezpieczeństwem), imprezy firmowe oraz wyjazdy integracyjne

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Corporate Account Manager Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Commercial team sits at the centre of Deliveroo’s marketplace—shaping how we serve restaurants, grocers, and new verticals worldwide. From negotiating key partnerships to unlocking new revenue streams and crafting data-led growth strategies, we take on big challenges that move the business forward. If you thrive in fast-paced, commercial environments and want to influence the future of a global brand—this is the team for you. We’re looking for a Corporate Account Manager to join our London team. This is a hybrid role. In this role, you’ll help us develop and grow a portfolio of key corporate accounts, using data-driven insights to solve workplace problems, retain revenue, and accelerate market expansion. Get to know our Commercial team — what drives us, how we work, and what you can expect. https://careers.deliveroo.co.uk/the-commercial-team/ What You’ll Be Doing You’ll be joining the Deliveroo for Work (DfW) team. We are the dedicated B2B arm of Deliveroo, helping businesses—from tech startups to global law firms—manage their corporate catering, late-night team meals, and employee food perks through a centralized platform. Here’s what your day-to-day might look like: Portfolio Management: Nurture high-value corporate accounts across the UK, building deep relationships with decision-makers while tracking key usage metrics to identify trends, mitigate risks, and maximize revenue retention. Strategic Value Creation: Translate commercial data and client behavior insights into tailored account expansion strategies, uncovering growth levers that influence our broader UK B2B roadmap. Technical Account Leadership: Develop deep product expertise to advise corporate clients on platform best practices, proactively troubleshooting issues to ensure a seamless service experience. Multilevel Stakeholder Management: Serve as the primary trusted partner across your portfolio, aligning your communication style to secure executive buy-in, resolve challenges swiftly, and unlock new partnership opportunities. Cross-functional & Project Ownership: Collaborate closely with Marketing, Tech, Finance, and Global Commercial teams to champion your portfolio's needs, while leading strategic projects from definition to execution to drive operational efficiency. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Significant Account Management Experience: Proven track record of managing and expanding corporate client portfolios, with a strong focus on relationship management and driving revenue growth. Data-Led Commercial Acumen: Confident working with large datasets and translating complex metrics into actionable commercial strategies and structured account plans. Proactive Portfolio Ownership: Strong capability to work autonomously, take full accountability for business performance, and drive high-impact client engagement. Senior Stakeholder Engagement: Exceptional communication and relationship-building skills, with a proven ability to interface with and influence corporate decision-makers at all levels. Agility and Collaboration: Solutions-focused mindset with a proven ability to partner effectively with cross-functional teams in a fast-paced, high-growth environment. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Remote (Canada); Remote (US) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE TEAM The Financial Risk team is responsible for protecting Wealthsimple and its clients from fraud while enabling safe, fast, and scalable money movement. We own the Decision Platform — a real-time rules engine that processes streaming data to make fraud decisions across every major payment rail — as well as the tooling and automations that power fraud investigation workflows, transaction decisioning, account restrictions, and deposit holds. Our systems are the infrastructure layer that payment and money movement teams plug into to move money safely. ABOUT THE ROLE This is a platform PM role with a dual mandate: prevent fraud by building and tuning real-time interventions and decision rules, and enable fraud investigations by building automations and tooling that make our fraud operations team faster and more effective. You'll own a broad surface area — from the streaming decision engine that blocks fraudulent withdrawals in milliseconds, to the case management system that routes alerts to investigators, to the restriction and suspension frameworks that protect compromised accounts. WHAT YOU'LL DO - Own the product vision and strategy for the Financial Risk platform, balancing fraud prevention with client experience - every intervention has a cost, and you'll need to make sharp tradeoffs between friction and protection. - Drive the roadmap for the Decision Platform, our real-time rules engine that evaluates fraud risk across withdrawals, deposits, e-transfers, crypto transactions, and cheque deposits. - Build and improve fraud investigation tooling and automations - including case management workflows, alert deduplication, and enrichment pipelines - that help our fraud operations team investigate and resolve cases faster. - Define and evolve the restriction and mitigation framework that enables the right response to fraud signals: suspensions, withdrawal blocks, spend switch blocks, and account-level restrictions. - Operate as a platform PM, designing extensible APIs, decision schemas, and integration patterns that payment and money movement teams can reliably plug into as new products and payment rails launch. - Partner deeply with Fraud and Data Science teams on fraud model integration, fraud rule development, and the feedback loops that improve detection accuracy over time. - Own key risk metrics - fraud loss rates, false positive rates, investigation cycle times, decision latency - and use data to drive prioritization. - Break down complex, behind-the-scenes infrastructure projects into discrete phases that deliver value incrementally - this is platform work where the "client" is often another engineering team. SKILLS YOU BRING - 8+ years of product management experience with significant depth in fraud, risk, or trust & safety - you've built fraud prevention systems, investigation tooling, or risk decisioning platforms and understand the cat-and-mouse dynamics of financial fraud. - Experience operating as a platform PM: you've built systems that other teams consume, and you know how to balance internal developer experience with business outcomes. You think in APIs, schemas, and extensibility. - Strong technical fluency: you can go deep on streaming architectures, workflow orchestration, and ML model integration. You don't need to write code, but you need to reason about system design tradeoffs with engineering. - Comfort with breadth: this role spans real-time decisioning, investigation tooling, restrictions infrastructure, and regulatory reporting. You thrive when context-switching across a wide problem space, not when going narrow. - Data-driven decision making: you use quantitative analysis to identify fraud patterns, measure intervention effectiveness, and prioritize investments. - Experience working with fraud operations teams: you understand investigation workflows, alert triage, case management, and the tooling that makes analysts productive. You've closed the loop between detection and investigation. - A shipping mentality: we don't believe in spending forever analyzing and debating. The best way to validate a fraud rule is to ship it, monitor it, and iterate. - Strong communication skills: you can translate complex risk and platform concepts for engineering, operations, compliance, and executive stakeholders. - Ability to work independently: biasing towards action to drive projects forward across a broad surface area. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilities Design and build the event bus and normalized event schema: source identity, sequencing, health state, and the adapter contract that owners of each sensor and system feed build to, plus adapters where needed Build correlation and alerting: the rules and services that turn events from independent sources into alerts an analyst can act on Build the classification and analytics pipelines: computer vision and multi-sensor fusion, with results landing on the event bus Build analyst surfaces: the queue, escalation tooling, dashboards, camera viewers, and video wall content a 24/7 watch works from, plus video analytics integration so camera streams arrive on the bus as events Deliver audit evidence: durable, tamper-evident event history, evidence exports, and the retention and access controls around them Instrument metrics and self-monitoring: detection rates, nuisance ratios, alert aging, time to resolve; heartbeats and loss-of-telemetry alarms on every feed, tested fail-secure behavior, and change audit on every rule Deploy across sites: site-local components, central services, and the sync that keeps configuration, rules, and state consistent, then commission each site and hand over to the analysts Specify the compute the platform runs on (servers, storage, and the platform's network segment) to the team's segmentation and hardening baseline Write requirements and acceptance criteria for what vendors and integrators deliver, review deliverables against them, and make the call on accepting or rejecting the work Minimum qualifications Have built and run event-driven backend systems in production Are proficient in at least one backend language such as Python, Go, or Rust, and have worked with a message bus or event streaming system such as Kafka Have owned a system end to end: set the design, made the tradeoffs, shipped it, and answered for it in production Have integrated with external systems you did not control (vendor APIs, on-prem appliances, video platforms, building systems) and designed for a life beyond any one vendor Have directed vendor or integrator work: written requirements and acceptance criteria, reviewed deliverables against them, and decided what gets accepted Design for the failure you won't see coming (a silent feed, a lost network path, a replayed event, a de-tuned rule), know how your system behaves when a source lies or goes quiet, and test for it Build tools for people who use them under pressure and iterate with those operators Preferred qualifications Experience building or operating a security operations platform (SOC, physical security operations, or the detection engineering behind one) Experience building ML or computer vision inference pipelines over video and sensor streams PSIM (physical security information management) or VMS (video management system) integration experience, or familiarity with physical access control and building systems data Experience producing evidence for auditors or assessors: log integrity, retention, chain of custody Experience using AI-assisted development tooling as a core part of your workflow The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Mid-Market Corporate Sales Lead Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Commercial team sits at the centre of Deliveroo’s marketplace—shaping how we serve restaurants, grocers, and new verticals worldwide. From negotiating key partnerships to unlocking new revenue streams and crafting data-led growth strategies, we take on big challenges that move the business forward. If you thrive in fast-paced, commercial environments and want to influence the future of a global brand—this is the team for you. We’re looking for a Mid-Market Corporate Sales Lead to join our London team. This is a hybrid role. In this role, you’ll help us lead a small team of BDMs and deliver the mid-market new business target through your own pipeline and your team's performance. Get to know our Commercial team — what drives us, how we work, and what you can expect. https://careers.deliveroo.co.uk/the-commercial-team/ What You’ll Be Doing You’ll be joining the Deliveroo for Work (DfW) UKI team. Deliveroo for Work is Deliveroo’s B2B arm, offering simple and flexible food-spending solutions to corporate clients across seven global markets. From team lunches to late-night meals to office events and even pantry supplies - Deliveroo for Work has every business food need covered. Here’s what your day-to-day might look like: New Business Target: Own the mid-market new business target for the UK, delivered through a combination of your own sales and your team's performance, building strong relationships with decision-makers and uncovering growth opportunities using data-driven insights. Monitor pipeline performance through key metrics to identify trends, risks, and growth levers to develop tailored strategies to maximise new business revenue. Team Leadership: Lead, coach, and nurture a small team of BDMs, setting clear direction and priorities, and supporting their development to help them thrive and deliver against their targets. Strategic Vision: Own the mid-market new business strategy, leveraging commercial data, prospect behaviour insights, and market performance analysis to identify growth levers and performance risks. Translate complex pipeline trends into clear, actionable recommendations that inform decision-making and drive measurable commercial outcomes. Technical Sales: Develop deep expertise in the DfW product suite to advise prospects on best-practice usage. Build credibility as a trusted technical partner by proactively identifying risks, troubleshooting issues, and driving timely resolution to ensure a seamless prospect experience. Stakeholder Management: Build and maintain strong, multi-level relationships with key stakeholders across prospect organisations and internal teams, acting as the primary point of contact throughout the sales process. Understand stakeholders and their priorities, tailoring engagement and communication to secure buy-in, resolve issues quickly, and unlock new growth opportunities. Cross-functional Collaboration: Partner closely with Marketing, Tech, Finance, and Global Commercial teams to represent your pipeline’s priorities. Translate new business performance insights into clear requirements, influence roadmaps and campaigns, and ensure initiatives are aligned to UK growth objectives. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Commercially minded with strong commercial instinct and a passion for driving growth and taking full ownership of targets. A natural people leader with high EQ, who inspires trust, coaches with empathy, and brings out the best in their team. Data-driven operator comfortable working with large data sets and confident in translating metrics to shape sales plans. Exceptional stakeholder management and communication skills, with a proven ability to engage quickly, build strong relationships, and influence across all levels. Solutions-focused, curious, and proactive mindset, comfortable moving with pace and thriving in fast-growing environments. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim t o create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Our Global Structure: Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborat e with teammates, systems , and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

- Знание и опыт с Java Core (11/17): коллекции, Stream API, лямбды, базовая многопоточность; - Уверенное знание SQL, опыт создания сложных запросов и оптимизации;

Key requirements: Java, Python, AWS (EC2, S3), Kubernetes. Job descriptions.

Location: Tbilisi, Georgia Workplace: remote At Infomediji, we are building the next generation of Spatial Media: a new way people experience video through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is a leading immersive streaming platform serving millions of users globally. Content creators and partners are central to this ecosystem, and we are looking for a Product Manager to make their experience simpler, clearer, and more scalable. If you enjoy turning complex operational and technical workflows into products people genuinely enjoy using, this role is for you. The Role We are looking for a Product Manager - Content to own the product experience for our content partners across our streaming platform. This is a product and engineering-facing role. You will work closely with Content Partnerships, Marketing, Design, and Backend Engineering to identify friction, define the right solutions, and deliver high-impact improvements. What You Will Do Own and improve the end-to-end product experience for content partners, creators, and studios Map and optimise key partner workflows, including partner applications, onboarding, content submission, publishing, status tracking, and related processes Turn partner feedback, operational pain points, and business needs into clear product problems and prioritised solutions Independently implement selected solutions, such as internal tools, workflow automations, integrations, prototypes, or partner-facing improvements Work closely with Backend Engineering to define scalable systems, workflows, integrations, and self-service tools Partner with Content and Marketing to improve partner acquisition, activation, engagement, and retention Define product requirements, success metrics, user stories, and delivery priorities Lead product discovery and validate opportunities through qualitative feedback, data, and market research Own the roadmap for content-partner-facing initiatives from discovery through delivery and iteration What We Are Looking For Product Management experience in a digital product environment Hands-on development experience, including building production features, internal tools, automations, integrations, or technical prototypes Experience owning products or workflows connected to creators, partners, marketplaces, platforms, UGC, media, or SaaS Strong technical understanding and confidence working closely with Backend Engineering teams Ability to translate complex operational workflows into clear, scalable product solutions Experience with product discovery, roadmap ownership, prioritisation, and delivery High ownership, structured thinking, and comfort working in a fast-moving environment Strong product judgement around AI: you can distinguish a meaningful product advantage from a feature that only sounds innovative Fluency in English and Russian Bonus Points Experience with video, streaming, creator, affiliate, marketplace, or platform products Product engineering, backend, full-stack, or automation background Hiring Process HR screening (30 min) Team Interview (1 hour) Case Task (2-4 hours) CEO Interview (45 min) 💼 Explore our hiring process What We Offer Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Location: United States Workplace: Remote ABOUT US Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers https://careers.circle.so/ page for more about working at Circle. ABOUT THE ROLE The Director of Strategic Partnerships will lead the strategy, growth, and performance of Circle's partnerships function, building programs and relationships that strengthen Circle's brand while driving meaningful business outcomes. This role sits at the intersection of business development, partnerships, creators, content, and growth. You'll be responsible for translating Circle's broader company priorities into a forward-looking partnerships strategy, identifying where and how we invest, developing our most important creator and strategic relationships, and ensuring those investments translate into measurable impact across customer growth, brand awareness, and market position. A core part of the role is bringing strong creative and commercial judgment to the work, operating as a genuine strategic partner to the people on the other side of the table. You'll cultivate and maintain those relationships directly, building campaigns, offers, content, and experiences that feel authentic to their audiences — and developing strategies that grow revenue for both parties, so that Circle and the partner each achieve their own goals rather than just executing against Circle's priorities. You'll also build the systems, team, and operating model required to scale the function, moving successful initiatives from one-off execution into repeatable programs that can grow without depending on a single person to drive every detail. This is essential to the function’s ability to achieve significant impact on ICP trials and for the director to be successful in this role. In addition to the operational expertise to move something from incubation to repeatable system, this role has to also be creative enough to continuously develop new strategic programs. Reporting to our SVP, Ecosystem, you'll work closely with Circle's founders and leadership team, as well as teammates across Community Growth, Media, Demand Generation, Product Marketing, our Design Studio.   WHAT YOU'LL BE DOING - Own Circle's Partnerships strategic planning, and roadmap, using deep, company-wide knowledge of Circle's business, strategy, and goals to originate new concepts and ideas that extend the function's impact beyond its current scope — connecting partnership investments to company priorities, measurable business outcomes, and providing strategic direction to managers across multiple areas and operations. - Take ownership of the function's contribution to new business and other agreed performance goals, using those outcomes to inform where we invest, what we build, and how we prioritize. - Build repeatable partnership programs and playbooks that allow successful initiatives such as webinars, challenges, creator campaigns, launches, and event activations to scale without requiring the same level of hands-on involvement each time. - Develop a forward-looking quarterly and annual partnership plan across creator partnerships, strategic relationships, campaigns, launches, events, and other high-impact opportunities. - Lead Circle's highest-value creator and strategic partnerships, including relationship development, opportunity identification, deal strategy, negotiation, creative direction, and long-term growth. - Shape the content and creative strategy behind major partnerships, working closely with partners to develop ideas that are authentic to their audience, differentiated in the market, and effective for Circle. This includes bringing in leadership on a case-by-case basis in areas where there could be partnership impact across multiple functions. - Bring a strong marketing mindset into partnership development, including offer strategy, audience journeys, conversion opportunities, and ways Circle and its partners can create greater value together over time. - Develop a sophisticated measurement framework for brand activities (i.e. event sponsorships, activations, etc.), so we are leveraging data and insight to inform investments and decisions. - Establish clear measurement, reporting, and decision-making frameworks for the function, using performance and qualitative insights to improve future investments. - Support cross-functional teams in a consultative capacity on any content-forward initiatives. WHAT YOU'LL NEED TO BE SUCCESSFUL - Exceptional written and verbal communication skills in English (CEFR C2 or equivalent https://englishonline.britishcouncil.org/free-english-level-test-cefr-2/), as most collaboration at Circle happens asynchronously.  - 10+ years of experience building 6-7 figure strategic partnerships, creator programs, brand initiatives, or strategic growth programs within SaaS, technology, the creator economy, or a similarly fast-moving industry. - Strong business development skills including pipeline management, negotiation, partner development, and cross-functional project management. - Performance marketing instincts and an understanding of how partnerships can drive both brand value and measurable business outcomes. - Deep understanding of Circle's customers, the creator economy, and the broader market, with a point of view on where Circle can build differentiated relationships and influence. - Experience developing and growing high-value relationships, with strong judgment around deal structure, negotiation, partner dynamics, and long-term opportunity. - Exceptional content and creative instincts, with the ability to understand an audience, identify a compelling story, and translate Circle's value into ideas that feel native to a creator or partner. - The ability to move fluidly between brand strategy and performance, understanding how strong storytelling, offers, funnels, campaigns, and distribution work together. - A track record of turning successful one-off initiatives into repeatable programs, systems, and playbooks that can scale through a team. - Strong strategic planning skills and in-depth knowledge of the partnerships function, Circle's broader business strategy, and company-wide goals — with the judgment to translate ambiguous, cross-functional, abstract situations into clear strategy and direction, anticipate future needs, identify opportunities early, prioritize investments, and keep the function operating ahead of the business rather than reacting to it. - Experience managing and developing a team through senior managers or managers-of-managers, not only direct individual contributors — setting clear expectations, delegating full ownership of a sub-area rather than staying close to execution, coaching judgment, and building greater autonomy over time. - Strong cross-functional leadership skills and the ability to influence senior stakeholders across teams without needing direct authority. COMPENSATION & BENEFITS Circle offers U.S.-benchmarked compensation globally, equity in the company with ongoing refresh grants, and 35 days of paid time off each year. We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub LEARN MORE - Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790 - Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba - How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51 - Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0 - Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Lead ML Engineer to own a new ML stream focused on fast delivery of applied machine learning solutions across different product and business domains. The stream will work with a broad range of ML challenges. Some initiatives may be relatively small and delivered within a few weeks, while others may prove their value and grow into larger dedicated projects. This role combines hands-on ML engineering with end-to-end technical delivery ownership. You will receive product problems and expected outcomes from Product or internal stakeholders, clarify the technical requirements and constraints, define the implementation approach, coordinate execution within the stream, and bring solutions to production readiness and launch. This is a highly hands-on role. The stream will not have a dedicated software engineer for every initiative, so we expect Data Scientists and ML Engineers to be comfortable working beyond experimentation and contributing directly to production code. The role is not tied to a single ML domain. We value strong ML fundamentals, engineering skills, pragmatism, and the ability to quickly understand new problem areas more than deep specialization in one particular class of models. Job Responsibilities Technical Delivery Ownership Turn product and business problems into concrete ML implementation plans. Clarify requirements, constraints, available data, integrations, and success criteria together with Product and relevant stakeholders. Define technical scope, milestones, dependencies, risks, and delivery estimates. Select appropriate ML approaches and determine the fastest reliable way to validate and implement them. Drive technical delivery through experimentation, implementation, integration, deployment, and launch readiness. Keep delivery on track, proactively identify blockers, and coordinate dependencies with other teams. Provide Product with clear technical options, trade-offs, estimates, risks, and experiment results required for product decisions. Support production rollout and iteration based on observed results. Hands-on ML & Engineering Design, train, evaluate, and deploy ML models across different domains and problem types. Write production-quality Python and contribute directly to implementation. Build APIs, batch jobs, data-processing pipelines, and ML services required to deliver solutions where appropriate. Work with classical ML, deep learning, and foundation-model-based approaches depending on the problem. Process and transform large production datasets using Python and SQL. Integrate models into existing production systems. Implement appropriate testing, monitoring, logging, and observability for delivered ML solutions. Work within the shared ML infrastructure, architecture, and engineering practices used across the company. Collaborate with Data Science, Backend, Data Engineering, and MLOps specialists when deeper domain expertise or infrastructure changes are required. Stream Execution Break initiatives down into concrete technical tasks and coordinate execution within the stream. Coordinate the work of Data Scientists and ML Engineers contributing to stream initiatives. Review technical approaches, experiments, and implementation. Keep the team focused on the agreed scope, priorities, and delivery timeline. Identify technical risks and dependencies early and drive them to resolution. Escalate architectural, infrastructure, or methodological questions when broader alignment is required. Help prepare successful initiatives for scaling or transition into longer-term ownership if they grow beyond the scope of the stream. Cross-functional Collaboration Work closely with Product throughout the delivery lifecycle. Independently gather the technical details and constraints required to execute on a product request. Communicate estimates, dependencies, technical trade-offs, and delivery status clearly. Work directly with Engineering and other internal teams to unblock implementation. Challenge technically unclear, contradictory, or infeasible requirements and propose practical alternatives. You’ll thrive here if you have 5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering. Strong hands-on Python programming and software engineering skills. Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production. Strong understanding of machine learning methods, statistics, experimentation, and model evaluation. Experience writing maintainable production code rather than working exclusively in notebooks. Experience building APIs, services, batch processing, or data pipelines. Strong SQL skills and experience working with large production datasets. Practical experience with Docker and production deployment environments. Ability to turn partially defined problems into concrete technical plans. Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline. Experience owning technical delivery involving several contributors and coordinating work across dependencies. Experience reviewing code and technical approaches. Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream. Strong communication skills and the ability to work directly with Product and technical stakeholders. Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production. Nice to Have Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives. Experience with Kubernetes and CI/CD. Experience with Kafka or other streaming platforms. Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling. Experience building real-time or high-load ML services. Experience with FastAPI or similar Python service frameworks. Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification. Experience with LLM inference, fine-tuning or other GenAI systems. Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.

Управление командой (40%). Распределение задач между разработчиками, контроль сроков и приоритетов.