Вакансии

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Trading OS team, reporting to the Director of OTA Platform. You’ll work closely with lead engineers, Revenue Management, and commercial leaders to define and deliver the long-term product vision for Trading OS, creating shared data, tools, and capabilities that power pricing, packaging, promotions, and availability across markets. Together, the team will focus on enabling commercial and AI teams to configure, test, and automate commercial changes safely and quickly at scale, reducing dependency on engineering and enhancing decision-making. Trading OS sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Partner with engineering, Revenue Management, and commercial leaders to define the Trading OS roadmap, outcomes, metrics, and investment priorities. - Build flexible tools, APIs, and data models that enable commercial teams to configure, test, and roll out pricing, packaging, and availability changes. - Work closely with Engineering on technical design, service boundaries, data contracts, and scalable architecture for AI-assisted decisioning. - Improve the quality, reliability, and visibility of commercial data to enable faster, engineering-independent commercial changes. - Use data and controlled experimentation to measure operator efficiency, engineering effort avoided, platform adoption, and commercial impact. - Drive platform adoption by establishing clear documentation, onboarding, and feedback loops for internal product and commercial consumers. Your skillset: - Proven record of platform product leadership owning technical, API-heavy, data-rich, or internal platform products used by multiple teams. - Systems thinking ability to model complex dependencies across data, services, and workflows into stable, composable capabilities. - Strong technical fluency across APIs, data models, distributed systems, configuration engines, and observability to collaborate credibly with engineering. - Commercial judgement with the ability to connect platform strategy to margin, trading objectives, and customer value. - Expertise in data and experimentation, comfortable defining metrics, designing controlled tests, and using data to guide decisions. - Outstanding execution and communication skills to navigate ambiguity, balance platform health with delivery, and align technical and non-technical stakeholders. The interview journey: - Talent acquisition screening - 30 minutes - First stage with the hiring manager - 45 minutes - Final stage with key stakeholders, including a platform case to present - 1 hour - Behavioural and culture conversation with VP of Product - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

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 We sell subscriptions and credit packs to consumers in over a hundred countries, and today almost all of it moves as cross-border card payments in USD. That has three consequences, and this role owns all three. We are declined more than we should be. In some of our largest growth markets roughly one attempt in three fails, and a meaningful share of those are not "no money" — they are cross-border blocks, card limits, stale credentials on renewal, and issuers who do not recognise us. We pay more than we should. Our blended cost of acceptance is the single largest line below compute, and the majority of the network component sits on transactions our processor classes as cross-border. We are not on the rails our customers use. In two of our fastest-growing markets, the dominant local payment method is one we do not offer at all. You own the measurement and the argument behind fixing all of it. You make sure: - We know our true authorization rate — at the unit the business actually cares about, not the one that is easy to compute - Every basis point of payment cost has a name, a geography and an owner - A decline is a diagnosis, not a statistic - When we propose a new rail, a new entity or a new processor arrangement, the number underneath it holds up to Stripe's own analysis and to our board's WHAT YOU WILL DO Authorization & decline analysis - Own authorization rate end to end: by country, issuer, BIN, card brand and funding type, plan price point, first payment vs renewal, and payment method. - Build and maintain the decline taxonomy — what each decline code actually means, which are recoverable, which are terminal, and which are us rather than them. - Measure at the right unit. An invoice that succeeds on the third retry is a success, not two failures and a success, and reporting it the other way has made teams optimise the wrong thing. - Separate soft declines we can recover from hard declines we cannot, and put a number on the recoverable pool. Cost of acceptance - Own the blended take rate and its decomposition: interchange, scheme fees, processor markup, cross-border and currency-conversion components, disputes, and the fixed per-transaction pieces. - Find where the cost actually sits. Averages hide it — the cost is concentrated by corridor, by card type and by whether the transaction is domestic. - Build the evidence for commercial conversations with our processor, and keep it current enough to reuse. Local payment methods, entities and routing - Size the case for new rails market by market: what share of local commerce runs on them, what our current card performance costs us, and what we would realistically recover. - Model merchant-of-record and local-acquiring arrangements against the alternative of our own entities, honestly — including the fee we would pay for the privilege. - Design and read the experiments that prove it, with the product analytics team. A new payment method is an A/B test, not a launch. Renewals, dunning and involuntary churn - Own the retry and dunning strategy as a measurable system: when to retry, how often, through which rail, and when to stop. - Quantify involuntary churn separately from voluntary. They look identical in a cancellation count and they need completely different fixes. - Track the health of stored credentials — network tokens, card-account-updater coverage, expiring cards — because in a subscription business that is silent revenue leakage. Disputes, refunds and reconciliation - Own dispute and chargeback rates against network thresholds, with the lag handled properly — disputes arrive weeks after the charge and a same-period denominator understates you. - Reconcile processor data to the revenue ledger and explain the differences rather than plugging them. - Work with the antifraud team where disputes are abuse rather than genuine dissatisfaction. HOW WE WORK - SQL and Python on raw processor and billing data in BigQuery. We use AI heavily — resourcefulness beats syntax. - Partner with Finance (the numbers get booked), Product (checkout and paywall), Engineering (the billing integration) and our processor's team directly. WHO WE'RE LOOKING FOR - 2+ years in payments analytics, payment operations, billing, or risk at a merchant, PSP, acquirer, or fintech. This is a domain role — general analytics experience without payments does not transfer quickly enough. - Fluency in the actual mechanics: authorization vs capture vs settlement, decline codes, 3DS and SCA, network tokens and account updater, interchange and scheme fees, chargeback lifecycle, MCC, BIN, cross-border and DCC. - Strong SQL, without help. Most of this job is joining sessions to intents to charges to invoices to refunds across imperfect keys and getting the denominator right. - Python at working level for analysis. - The instinct to check the unit of measurement before quoting a rate — per attempt, per invoice, per user, per session are four different numbers and only one of them answers the question. - Comfort with subscription billing specifically: renewals, proration, plan changes, failed payments, dunning, involuntary churn. - Commercial judgment: you can build the case for a rail or a rate and defend it against a vendor who does this for a living. - Clear written and spoken English, B2+. Backgrounds that often do well: - Payment operations or payments analytics at a consumer subscription, marketplace or gaming company - Analysts from PSPs, acquirers, orchestration platforms or card networks - Billing / revenue operations analysts who owned dunning and involuntary churn - Risk or chargeback analysts who moved toward the acceptance side WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to own checkout UX or pricing — that is Product Analyst, and it is open - Want to build fraud models — that is the Antifraud data scientist, and it is open - Would report an authorization rate without saying what the denominator was - Would take a processor's own analysis of their own performance at face value - Need someone else to prepare the data - 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

Описание проекта: создание экосистемной Customer720 платформы. Данные из банковских систем и CRM других бизнесов. Задачи: — Владеть архитектурой и развитием Data Core. — Проектировать слои Bronze / Silver / Gold и модели данных. — Исследовать банковские, legacy- и внешние источники, восстанавливать их семантику. — Строить pipelines от raw-данных до подготовленных data products. — Разрабатывать трансформации на SQL / dbt / Python. — Определять инженерные стандарты для ELT, data modelling, metadata, lineage и data quality. — Развивать data catalog и metadata-as-code подход. — Проектировать data contracts и интеграции Data Core с другими компонентами. — Переводить исследовательские решения и ручные процессы в production. — Работать с Git, CI/CD, Docker, Linux и закрытыми Dev/UAT-контурами. Требования: — Совокупный релевантный опыт не менее 6 лет обязательно. — Банковские или fintech-данные. — Core banking / legacy banking systems. — Опыт работы Lead / Staff / Principal Data Engineer или сильного Senior с архитектурным ownership. — Опыт проектирования и самостоятельной реализации data platform / DWH / Lakehouse. — Customer 360 / Golden Record / MDM. — Сильный SQL и уверенный Python. — dbt или аналогичные transformation frameworks. — Airflow / Dagster / Prefect или аналоги. — Хорошее понимание data modelling, historization, grain и master entities. — Практический опыт data quality, lineage и metadata management. — Data Vault 2.0. — OpenMetadata или другие data catalog solutions. — Умение самостоятельно принимать технические решения и отвечать за результат. — Опыт работы с плохо документированными источниками. — Git, CI/CD, Docker, Linux. — Практический AI-native способ разработки. Условия: — Оформление: ИП, ГПХ. — Формат работы: полная занятость.

NU Case club (консалтинговый клуб при НУ) организует ивент с Mastercard для дата аналитиков и консультантов. What to expect: — Solve a business case and apply analytical thinking to a real-world problem — Explore how data and analytics support business decisions at Mastercard — Learn how Mastercard consultants approach structured problem-solving and data-driven decision-making — Hear directly from Mastercard professionals about their projects, career paths, and day-to-day work — Get an inside look at the Mastercard Launch Program The Mastercard Launch Program is an 18-month graduate development program for recent Bachelor’s and Master’s graduates, combining full-time work with structured learning, mentorship, and professional development. Career tracks include: — Performance Analytics — data-driven insights, analytics, and business performance — Strategy & Transformation — strategic problem-solving and business transformation — Marketing — customer insights, marketing strategy, and data-informed decisions Students from all majors are welcome! Whether you study Economics, Business, Data Science, Computer Science, Mathematics, or another field, this session is a great opportunity to explore how your analytical skills can translate into a career at Mastercard.

Location: London Workplace: hybrid Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.  What will you do? ·       Key objectives include establishing Merkle Science as a thought leader in the US market and enabling the sales team to meet revenue targets ·       Working closely with the sales team to identify core value proposition and differentiators and creating a strategy to communicate it at scale to potential customers ·       Lead strategy for US market expansion by building on product messaging to set new products apart from others in the market to give Merkle a unique selling point ·       Work across multiple channels to communicate Merkle Science’s value proposition and differentiators in the competitive market. ·       Create sales tools and content such as case studies, videos, website copy and blog posts ·       Collaborate with cross-functional teams for market research, user testing and interviews to discover market opportunities ·       Coordinate closely with product management and engineering teams to determine product roadmap and establish go-to-market strategy for products ·       Establish and iterate on go-to-market strategy to reach revenue targets ·       Will manage his/her own team of designers and marketers. What are we looking for?  o   Fluent in English o   At least 2-4 years of prior marketing / product experience o   Prior startup experience or experience at a boutique firm is a big plus o   Previous compliance/finance/blockchain experience is a big plus  o   Experience in analytical problem solving and quantitative analysis, including development of dashboards and reporting tools o   Ability to lead analyses, track metrics, build strategic insights and find creative ways to optimize performance o    Ability to work in a fast-changing, cross-functional environment, while maintaining an entrepreneurial approach and building rapport with ease. Ability to take complex topics and create compelling narratives for different audiences. o   Excellent project management and stakeholder management skills. o   Excellent spoken, written, and presentation communication skills ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is looking for a Senior Product Manager to own Commercial Agreements and Pricing Mechanics within the Billing Platform team. Our billing platform is how Nebius turns AI infrastructure into a business. As the company grows, Sales and GTM teams need increasingly sophisticated commercial constructs: commitments, credits, custom terms, multi-tenant setups. Your mission is to make sure every deal the business needs is supported by the billing platform out of the box, with as few unsupported custom deals as possible, and to build pricing mechanics that help maximize revenue. This is a role at the intersection of product, commerce, and engineering. You will translate commercial intent into billing capabilities: well-defined product mechanics with clear rules, data models, and self-service potential. Responsibilities Own the vision, roadmap, and backlog for commercial agreements and pricing mechanics in the Nebius billing platform Design and ship billing support for commercial constructs Develop pricing mechanics that drive revenue growth, such as dynamic pricing models Systematically reduce the number of deals billing cannot support out of the box: identify recurring deal patterns and turn them into productized capabilities Partner closely with Sales, GTM, Finance, Legal, and Operations on deal structures and contract mechanics; work with the billing engineering team on design and delivery Own discovery, requirements, delivery, and success metrics for your domain, and keep documentation and internal enablement up to date Who we are looking for 5+ years of product management experience, including hands-on ownership of billing, monetization, or pricing products Solid technical grounding: you are comfortable discussing APIs, data models, and billing pipelines with engineers and can reason about system design trade-offs, even if you do not write production code Experience operating in an enterprise B2B environment with many stakeholders: sales, finance, legal, engineering Strong analytical skills: you model the revenue and margin impact of pricing and discount mechanics before committing to them Nice to have FinOps or cloud billing domain expertise: commitment discounts, usage-based pricing, FOCUS or similar billing data standards Experience supporting enterprise deal desks or working directly with Sales on non-standard deals Background at a cloud provider (hyperscaler, GPU cloud, or adjacent infrastructure business) Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Ljubljana, Slovenia Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. At Aleph, we're committed to ensuring that all of our customers' and partners' data is protected and that our work complies with data protection legislation across the markets we operate in — including as AI regulation reshapes that landscape. We're looking for an experienced AI Tech and Data Privacy Associate Manager (or Manager, depending on experience), to join our global team and help manage sensitive information, support contract preparation, carry out data protection assessments, and advise on the growing intersection of AI governance and privacy compliance across our global footprint. What You Will Do Advise on and support the practical implementation of legal requirements across all AI risk categories (e.g., under the EU AI Act — prohibited, high-risk, limited-risk, and minimal-risk systems), including risk classification, compliance obligations, and coordination with product and tech teams. Monitor emerging AI regulations more broadly and advise on their intersection with data protection across our markets. Advise the business on responsible AI governance and internal AI use policies. Advise, coordinate, and support colleagues across the business on data protection and privacy compliance issues, including in non-EU markets. Collaborate on internal audits at Aleph Group level in the field of data protection. Help prepare reports, presentations, and educational materials on data protection, privacy, and AI compliance topics. Participate in data protection, privacy, and AI-related legal projects. Promote a strong culture of data protection and responsible AI compliance across Aleph. Support AI-related technology projects, including API integrations with third-party AI providers, ensuring data protection, IP, and contractual compliance throughout implementation. Negotiate and draft agreements related to AI/technology procurement (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Coordinate with product, tech, and other teams to assess IP, confidentiality, and data protection risks before onboarding new AI tools or vendors. Organize and maintain data protection records and related documentation at a global level. Support the preparation of contracts with business partners and other legal documents (for example, internal policies) in the field of data protection and GDPR compliance. Carry out Data Protection Impact Assessments (DPIAs) together with the wider team. Take on other ad hoc legal and compliance-related tasks as needed. What We Are Looking For A degree in Law. Minimum 4–6 years of hands-on experience in data privacy and compliance, with a strong focus on GDPR — this is not an entry-level role. Solid expertise in data privacy laws and practices, including a deep understanding of GDPR. Hands-on experience completing legal/compliance requirements for the implementation of AI systems across all risk categories (e.g., under the EU AI Act), including but not limited to high-risk systems — this is a requirement, not just a plus. Working knowledge of AI-related legal and regulatory frameworks more broadly. Demonstrated ability to research and apply data privacy requirements in non-EU markets (LATAM, APAC, and/or MEA), given our global operating footprint. Proficient English communication skills, written and verbal — this is a must. A tech-oriented mindset, genuine curiosity about how AI and emerging technologies intersect with privacy law, and strong motivation to continuously learn new legal frameworks and compliance tools. Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus. Practical experience negotiating and drafting technology/AI related agreements (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Why Join Aleph Shape data protection and AI governance practice at scale: your work will directly protect the trust of Aleph's customers and partners across a global footprint spanning Europe, LATAM, APAC and MEA. Apply AI compliance expertise at scale: you'll drive real implementation work across the full spectrum of AI risk categories as regulation matures, not just policy-watching. Build deep expertise fast: exposure to DPIAs, cross-border data transfers, AI risk assessments, and multi-jurisdictional privacy frameworks gives you a faster path to becoming a recognized privacy expert than most single-market roles. Join a growing, collaborative legal team based in Warsaw that values mentorship and hands-on learning over hierarchy. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. The minimum gross annual base salary is EUR 39,000, with the final level (Associate Manager or Manager) and offer reflecting your experience, skills, and scope of the role. In addition to base salary, this role includes a variable component, paid annually. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Germany (Remote) At thinkcell, we’re seeking bright, creative C++ Developers with a solid theoretical background. Whether you're a seasoned professional or a recent graduate in Computer Science, Physics, or Mathematics, what matters most is your problem-solving ability and C++ skills. At thinkcell, we combine deep technical challenges with a healthy work-life balance and a culture that values thoughtful engineering over rushed delivery. Ideal candidates have: Strong C++ programming skills (through education or experience) A background in Computer Science, Mathematics, or Physics A passion for elegant, efficient algorithms Ability to work independently and creative problem-solving approaches Good command of English (German not required) How You’ll Work You’ll collaborate closely with the team, without being stuck in recurring meetings. Your feature ships when you think it’s ready - no time pressure! We encourage contributions from anyone What We Offer Brilliant Team: Work with international colleagues with strong academic and professional experience Work–life balance: Flexible working hours and an environment that respects your time and focus. Stable Environment: Join a market leader with a reliable product. Competitive salary & Relocation Support to Berlin: Work remotely from anywhere in Germany, while candidates based in Berlin are expected to work on-site. Guaranteed raise to 130k EUR after the first year Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 210 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Tel Aviv, Israel; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity Our mission is to drive user growth and engagement across global markets by building a scalable growth platform — the shared campaign engine, task and incentive systems, loyalty programs, and ToB operational tooling that power growth for every business line at OKX — and by unlocking acquisition through diversified channels including SEO, ASO, affiliate, referral, and paid. As the Growth Platform Product Lead, you will own the product vision and roadmap for our growth middle-platform, lead a team of product managers, and act as the central partner to business, channel, and regional stakeholders who rely on the platform to hit their growth targets. This is a leadership role for someone who has built growth infrastructure at scale and knows how to turn a fragmented set of campaign tools into a unified, self-serve growth system. What You’ll Be Doing Own the Growth Platform Strategy Define the multi-year vision and roadmap for the growth middle-platform: campaign engine, task/mission system, rewards and incentive infrastructure, loyalty and tiering, user segmentation and targeting, and the ToB configuration and analytics layer that operators use daily. Set platform standards for reusability, configurability, and time-to-launch so that new growth activities can be shipped by business teams without bespoke engineering. Balance platform investment against business-line requests, and make clear, well-communicated prioritization calls. Build the Platform Lead the design and delivery of ToC growth products (campaigns, tasks, mega sales, loyalty) and the ToB capabilities behind them (campaign configuration, rules engine, budget and risk controls, reporting). Drive experimentation infrastructure and growth analytics so that every campaign is measurable, comparable, and optimizable. Leverage AI tools and automation to shorten experimentation cycles, surface insights faster, and scale growth operations with fewer manual touchpoints. Enable Channel Growth Partner with channel owners across SEO, ASO, referral, affiliate, and paid to translate channel-specific funnel needs into platform capabilities. Identify high-leverage channel opportunities and build the platform features that amplify channel performance across markets. Manage Stakeholders Across the Organization Serve as the single point of accountability for the growth platform with Trading, Listing, Paid Ads, Content, Affiliate, Referral, regional growth teams, and risk/compliance. Establish intake, prioritization, and governance processes that keep dozens of concurrent stakeholders aligned and informed. Influence senior leadership on platform investment, trade-offs, and sequencing; resolve conflicts between business urgency and platform integrity. Lead and Grow the Team Manage, coach, and develop a team of product managers; set clear goals, review work quality, and build a high-performance culture. Raise the bar on PM craft across the team: problem framing, data literacy, spec quality, and cross-functional execution. What We Look For In You 5+ years of product management experience , including 2+ years managing product managers and owning a multi-quarter roadmap. Deep growth middle-platform experience : you have designed and shipped a campaign engine, task/mission system, incentive or rewards platform, loyalty program, or comparable shared growth infrastructure that served multiple business lines. Proven platform thinking : track record of consolidating scattered, one-off growth tools into a reusable, configurable, self-serve system, and of measuring the efficiency gains that resulted. Exceptional stakeholder management : demonstrated ability to run intake and prioritization across many competing internal customers, manage up to executive leadership, and hold the line on platform trade-offs without losing partner trust. Strong data and analytics fluency : comfortable defining campaign and platform metrics, reading experiment results, and using data to settle prioritization debates. Large-scale delivery : experience navigating complex cross-team dependencies in a fast-moving, global organization. High learning velocity : able to rapidly internalize new domains — crypto, regional markets, new channels — and connect product, data, and market signals into actionable strategy. Nice-To-Haves Experience in crypto, fintech, or other regulated consumer products where growth mechanics must satisfy risk and compliance constraints. Hands-on experience with SEO and/or ASO strategy, including keyword optimization, app store listing optimization, and organic growth levers. Experience building ToB operational platforms or internal tooling used by non-technical operators at scale. Experience applying AI/LLM tooling to growth operations, analytics, or PM workflows. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity Our mission is to drive user growth and engagement across global markets by building a scalable growth platform — the shared campaign engine, task and incentive systems, loyalty programs, and ToB operational tooling that power growth for every business line at OKX — and by unlocking acquisition through diversified channels including SEO, ASO, affiliate, referral, and paid. As the Growth Platform Product Lead, you will own the product vision and roadmap for our growth middle-platform, lead a team of product managers, and act as the central partner to business, channel, and regional stakeholders who rely on the platform to hit their growth targets. This is a leadership role for someone who has built growth infrastructure at scale and knows how to turn a fragmented set of campaign tools into a unified, self-serve growth system. What You’ll Be Doing Own the Growth Platform Strategy Define the multi-year vision and roadmap for the growth middle-platform: campaign engine, task/mission system, rewards and incentive infrastructure, loyalty and tiering, user segmentation and targeting, and the ToB configuration and analytics layer that operators use daily. Set platform standards for reusability, configurability, and time-to-launch so that new growth activities can be shipped by business teams without bespoke engineering. Balance platform investment against business-line requests, and make clear, well-communicated prioritization calls. Build the Platform Lead the design and delivery of ToC growth products (campaigns, tasks, mega sales, loyalty) and the ToB capabilities behind them (campaign configuration, rules engine, budget and risk controls, reporting). Drive experimentation infrastructure and growth analytics so that every campaign is measurable, comparable, and optimizable. Leverage AI tools and automation to shorten experimentation cycles, surface insights faster, and scale growth operations with fewer manual touchpoints. Enable Channel Growth Partner with channel owners across SEO, ASO, referral, affiliate, and paid to translate channel-specific funnel needs into platform capabilities. Identify high-leverage channel opportunities and build the platform features that amplify channel performance across markets. Manage Stakeholders Across the Organization Serve as the single point of accountability for the growth platform with Trading, Listing, Paid Ads, Content, Affiliate, Referral, regional growth teams, and risk/compliance. Establish intake, prioritization, and governance processes that keep dozens of concurrent stakeholders aligned and informed. Influence senior leadership on platform investment, trade-offs, and sequencing; resolve conflicts between business urgency and platform integrity. Lead and Grow the Team Manage, coach, and develop a team of product managers; set clear goals, review work quality, and build a high-performance culture. Raise the bar on PM craft across the team: problem framing, data literacy, spec quality, and cross-functional execution. What We Look For In You 5+ years of product management experience , including 2+ years managing product managers and owning a multi-quarter roadmap. Deep growth middle-platform experience : you have designed and shipped a campaign engine, task/mission system, incentive or rewards platform, loyalty program, or comparable shared growth infrastructure that served multiple business lines. Proven platform thinking : track record of consolidating scattered, one-off growth tools into a reusable, configurable, self-serve system, and of measuring the efficiency gains that resulted. Exceptional stakeholder management : demonstrated ability to run intake and prioritization across many competing internal customers, manage up to executive leadership, and hold the line on platform trade-offs without losing partner trust. Strong data and analytics fluency : comfortable defining campaign and platform metrics, reading experiment results, and using data to settle prioritization debates. Large-scale delivery : experience navigating complex cross-team dependencies in a fast-moving, global organization. High learning velocity : able to rapidly internalize new domains — crypto, regional markets, new channels — and connect product, data, and market signals into actionable strategy. Nice-To-Haves Experience in crypto, fintech, or other regulated consumer products where growth mechanics must satisfy risk and compliance constraints. Hands-on experience with SEO and/or ASO strategy, including keyword optimization, app store listing optimization, and organic growth levers. Experience building ToB operational platforms or internal tooling used by non-technical operators at scale. Experience applying AI/LLM tooling to growth operations, analytics, or PM workflows. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. Preferred qualifications 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Fluent in Japanese and English 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.

Requirements: - fluent Polish language - experience in sales - strong negotiation skills and ability to close deals - well-developed interpersonal skills, technical writing, and verbal communication skills - knowledge of financial markets - enthusiastic, dynamic and self-motivated with strong sales skills - customer support oriented We offer: - really high salaries and best incentives and bonus schemes on the island - only Hot database - opportunities for professional growth and personal development - 21 days annual leave - a friendly atmosphere and opportunity to work with a professional team Working conditions: - basic 2500 euro + bonuses - working hours: 10:00 am to 7:00 pm - ongoing personal development - amazing team events and prizes - team buildings and various events from the company - best traffic (leads) in Limassol We do not provide visa services.

Requirements: — fluent English language — experience in sales — strong negotiation skills and ability to close deals — well-developed interpersonal skills, technical writing, and verbal communication skills — knowledge of financial markets — enthusiastic, dynamic and self-motivated with strong sales skills — customer support oriented We offer: — really high salaries and best incentives and bonus schemes on the island — only Hot database — opportunities for professional growth and personal development — 21 days annual leave — a friendly atmosphere and opportunity to work with a professional team Working conditions: — basic 2500 euro + bonuses — working hours: 10:00 am to 7:00 pm — ongoing personal development — amazing team events and prizes — team buildings and various events from the company — best traffic (leads) in Limassol

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues, including both Cefi and Defi venues, strategy services for automated pricing and trading bots, high-frequency data capturing and analysis, and state-of-art micro frontend for trading management. On top of all these infrastructures, we build highly customized strategies to facilitate crypto liquidities. If you are a strong technologist who is excited about the potentials of crypto trading, interested in fully-automated algo bots, we should talk. We are looking for a Java Software Engineer for Liquidity Platform Structured Product Engineering Team. During your tenure with us, you will be working closely with a liquidity manager for strategy development using an in-house build strategy toolkit. You will demonstrate and develop professional capabilities in the following areas: managing inventory & risk of applications, strategic thinking and problem solving, collaborating with product managers, engineers and liquidity managers, effective communication. What You’ll Be Doing Work closely with team technical lead, liquidity managers and product managers on strategy discussion and technical solution design. Work with team to own the strategy production environment for both feature buildout and infra upgrade for better performance. Continuously and proactively improve strategies to be more stable, scalable and robust with auto recovery ability for 24x7 crypto trading style. Run projects by maintaining a deep underlying of the technical infrastructure and a holistic view of the product and business What We Look For In You Solid STEM (Science/Technology/Engineering/Mathematics) education background. Passionate in the Crypto industry and with strong problem solving skills. Solid knowledge in structured products business or volatility trading is a plus. Hands-on experience in AI development is preferred. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

RichBrains is a software development company specialising in custom-built solutions for businesses across the US, UK, and EU markets. Задачи: — Управление полным жизненным циклом международного клиентского проекта — Взятие ответственности за ежедневную доставку проекта — Задание правильных вопросов для уточнения требований — Критическое мышление по поводу рисков и компромиссов — Выступать ключевым контактным лицом для клиента на протяжении всего проекта

Location: Lisbon, Portugal About the Role We are seeking an experienced UiPath RPA Developer with strong Python skills to join our automation team. The ideal candidate will have hands-on experience designing and deploying UiPath automation solutions, combined with deep Python proficiency for building custom integrations, scripts, and data processing pipelines. You will work closely with business analysts, solution architects, and cross-functional teams to deliver end-to-end automation that drives operational efficiency. Responsibilities Design, develop, and deploy UiPath RPA workflows and automation solutions across attended and unattended processes. Write clean, efficient Python scripts and custom UiPath activities to extend automation capabilities and integrate with external systems. Analyze, debug, and optimize existing UiPath workflows and Python-based automation components to improve reliability and performance. Collaborate with business stakeholders to gather process requirements, conduct feasibility assessments, and translate manual workflows into automated solutions using UiPath Studio. Build and maintain Python-based integrations with REST APIs, web services, and data pipelines that complement UiPath automation workflows. Develop and maintain test frameworks using UiPath Test Suite and Python (pytest) to ensure automation reliability and quality across deployments. Manage and monitor robots via UiPath Orchestrator, including scheduling, queue management, alert configuration, and performance reporting. Maintain version control of UiPath projects and Python code using Git, and support CI/CD pipelines for automated deployment of RPA solutions. Leverage Python for web scraping, data transformation, and pre/post-processing tasks that feed into or extend UiPath automation pipelines. Interact with AWS services (S3, Lambda) and other cloud infrastructure to support scalable, cloud-based RPA deployments. Stay updated with emerging technologies and contribute ideas for improvements. Qualifications Education: Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience). Experience: 3+ years of UiPath RPA development experience, with at least 2 years of strong Python programming skills. Technical Skills: Strong proficiency in UiPath Studio, UiPath Orchestrator, and UiPath Test Suite; UiPath RPA Developer certification preferred. Advanced Python skills including scripting, automation, data manipulation (pandas, NumPy), and API integration. Experience with web scraping tools (e.g., Playwright, Selenium) for browser automation and integration with UiPath workflows. Basic knowledge of SQL and database concepts (e.g., PostgreSQL, MySQL). Experience with version control systems (e.g., Git). Understanding of REST APIs and JSON. Familiarity with AWS services, especially Lambda functions and S3 buckets. Experience building custom UiPath activities or integrations using Python or .NET to extend native UiPath capabilities. Familiarity with Linux/Unix environments. Soft Skills: Strong problem-solving and analytical skills. Ability to work collaboratively in a team environment. Good communication skills and a willingness to learn. Attention to detail and commitment to quality. Preferred Skills: UiPath Advanced RPA Developer or Solution Architect certification. Experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling RPA infrastructure. Familiarity with process mining or task capture tools (e.g., UiPath Process Mining, Task Capture) for identifying automation opportunities. Experience with Agile/Scrum methodologies and automation CoE (Center of Excellence) governance practices. Knowledge of containerization (Docker) and CI/CD tooling (Jenkins, GitHub Actions) for automated RPA deployment pipelines. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Storyblok is a headless CMS enabling marketers and developers to create and publish content across websites, apps, AI search, and more. The company serves brands like Virgin Media O2, Oatly, and TomTom. Benefits include monthly remote work stipend, home office equipment package and upgrades, sick leave, parental leave, 25 days annual leave plus local holidays, personal development fund, international team-building trips, flexible schedules, and an international team culture. Job Summary: As Director of Product Marketing, you will shape product positioning, launch, and growth in the US, UK, and EMEA markets. This senior, hands-on role requires translating complex technical capabilities into credible narratives and collaborating closely with engineers and executives. You will lead a team focused on sales enablement, website conversion, feature adoption, and market positioning with analysts and review platforms. Your mission is to influence revenue, customer acquisition, and market leadership by clearly articulating Storyblok's value and differentiation. What you’ll bring: - Comfort operating in technical territory, reading API documentation, understanding headless CMS architecture, and engaging with engineers and technical evaluators. - Ability to write accurate, trusted positioning for developers. - Experience working hands-on with developers in technical product marketing, solutions engineering, or related roles. Essential Job Functions: - Product Positioning & Messaging: Own and evolve core messaging and value proposition across audiences; direct customer, market, and competitive research; ensure messaging consistency across channels. - Go-To-Market Strategy & Execution: Own GTM strategy for product launches; define rollout strategies; set launch toolkits standards; establish measurement frameworks. - Sales Enablement & Sales Plays: Build sales playbook aligned to product capabilities and customer pain points; equip revenue teams with content; partner with sales leadership; use data to prioritize enablement. - Analyst & Review Site Strategy: Lead analyst relations strategy; orchestrate briefing cycles; manage presence on review platforms; monitor and respond to reviews. - Website & CRO Performance: Partner with marketing and web teams to ensure clear product positioning; prioritize CRO initiatives; define messaging strategy and success metrics; direct testing and optimization. - Team Leadership: Lead, mentor, and inspire the Product Marketing team; set structure and priorities; coach on messaging and technical fluency; foster ownership and learning culture; develop growth plans; ensure collaboration across teams. Education and Experience: - 8+ years in Product Marketing with 2+ years in leadership. - Proven experience in fast-growing B2B SaaS. - Strong understanding of PLG motions, SaaS business models, and product lifecycle. - Success in GTM execution, analyst engagement, and pricing strategy. - Exceptional communication and executive presence. - Skilled in cross-functional collaboration and stakeholder influence. - Familiarity with Salesforce, Marketing Automation, G2, and PMM platforms (e.g., Klue) is a plus. - AI literacy to leverage AI tools effectively. Location: U.S. Salary Range: $184,200 - $250,000 per year. Work Environment: - Fully remote with home work opportunity or funded co-working space. Storyblok is committed to diversity and inclusion, ensuring a respectful hiring environment regardless of identity or background. To apply, visit: https://weworkremotely.com/remote-jobs/storyblok-director-of-product-marketing-usa