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Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work on the quantitative foundations of QRT’s risk and PnL management platform, supporting trading and risk management across multiple asset classes and strategies. The role combines quantitative development, risk modelling and systems engineering, with a focus on building the models, analytics and infrastructure required for real time risk and performance management. You will work closely with Traders, Quantitative Researchers, Pricing Quants and Technology stakeholders to support live trading and risk decisions. Your future role within QRT Design and implement the quantitative foundations of a new risk and PnL management platform Develop risk models and scenarios across multiple asset classes, including risk frameworks, market representations and performance attribution Integrate derivatives pricing libraries and quantitative models into the broader risk management platform Collaborate with Traders and risk stakeholders to develop risk models and scenarios for live trading strategies Build scalable quantitative components capable of supporting complex calculations across large portfolios Work with Technology stakeholders to integrate pricing, risk and scenario analytics into production systems Contribute to the architecture and evolution of the platform as risk and trading requirements develop Your present skillset 5 to 10 years of relevant quantitative development experience, with deeper experience considered for profiles closely aligned with the role Undergraduate or postgraduate degree in a quantitative field such as Mathematics, Computer Science, Physics, Engineering or similar Front office quantitative experience within a bank, hedge fund or comparable financial markets environment Hands on experience developing risk management, pricing, valuation or quantitative analytics systems Strong understanding of derivatives payoffs, valuation and risk, together with data structures, algorithmic complexity and performance optimisation Strong Python development skills combined with production experience in C++, C# or another compiled language Experience designing quantitative systems that support multiple asset classes or complex trading strategies Ability to work directly with Traders, Quantitative Researchers and risk stakeholders to translate requirements into production solutions Strong communication skills with a pragmatic and collaborative approach to problem solving Experience with modern AI assisted development tools such as Claude or Codex is beneficial QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The Role We are excited to be growing our incredible London Legal team and are looking to hire 2 Legal Counsel with a strong regulatory background in financial services. As Legal Counsel, you will work closely with all areas of the business and take a collaborative approach to solving complex legal challenges. You will be expected to advise on compliance with financial services and payments regulations, interact with regulators and assist in the implementation of broader regulatory projects and product launches across the Checkout.com http://Checkout.com group. The successful candidate will be able to handle a busy workload with minimal supervision, demonstrating excellent critical judgment, quick thinking and agility. This is a great opportunity to work on a broad range of projects across multiple jurisdictions, learn new areas of law and play a key role in supporting the company’s rapid growth. You will be joining an expanding team in one of Europe's most valuable fintechs. Our mission is to be a legal team that exceeds expectations across the board, providing pragmatic and commercially focused advice, finding creative solutions to manage risk and becoming trusted advisers to our colleagues in the business. How You'll Make An Impact - This role is based in London at our global head office and sits within the regulatory vertical of our Legal department - Support relationships with regulators on license-related matters, including potential de novo applications - Review payments product structures, flows and terms to ensure compliance with legal requirements - Advise on payments regulatory matters, including compliance with payments laws and related regulations across our different jurisdictions - Advise on broader regulatory requirements applicable to payment services providers, including with respect to group regulatory change projects - Advise the business on market expansion, researching and evaluating new territories and applying for new licenses or expanding the scope of existing licenses - Advise key business functions on new regulatory developments impacting our operations, products and contractual commitments - Conduct research on various multi-jurisdictional legal issues - Support the company’s strategic projects and initiatives by providing creative, proactive and results-orientated advice What We Are Looking For - Qualified solicitor/lawyer (3-7 PQE) with strong post-qualification experience either in-house or in private practice - Strong understanding of legal principles applicable to payments in the UK, including the payments ecosystem and payments regulatory and licensing strategy/execution, and to broader financial institutions - Previous FinTech, payments, software, e-commerce and/or bank experience is desirable but not essential - Experience working in a start up or other fast-paced and dynamic environment is desirable but not essential - Comfort with ambiguity, constant change, and a fast-paced culture - A practical, solutions-oriented focus to solving legal challenges - Experience working internationally and on a variety of cross-border matters - Excellent time management skills and experience managing a diverse workload and competing stakeholder demands - Ability to work autonomously and collaboratively as needed, flexing the approach as the matter requires - Strong communication skills and the ability to articulate and explain complex legal issues clearly and concisely - Enthusiasm for new challenges and skilling up in different areas of law Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote 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? Conduct technical analysis and charting of cryptocurrencies, blockchain & RegTech market to create subject-specific content. Communicate content recommendations through market research reports. Forecast crypto & RegTech market trends. Create compelling and data-backed analytical articles for blogs. Leverage existing internal data sources to come up with research reports such as ‘2021 State of Crypto Crime,’ ‘Hack Trends 2021,’ etc. Optimize and Identify SEO best practices for content 🙋 What makes you a great addition to the team? Fluent in English. At least 2-4 years of writing experience Experience in analytical problem solving and quantitative analysis. Good understanding of the blockchain & cryptocurrency industry. 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 target audiences ❤️ 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: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. About this role Our website is one of the most important ways people discover what we offer, understand our value, and decide whether to talk to Sales or start a trial. The Web Growth team owns its roadmap and continuously improves the journey from first impression through to lead capture, demo engagement, signup, and trial start. You’ll treat the website like a product: understand user intent, find confusion and friction, form strong hypotheses, test them with users and data, and turn what you learn into better experiences. You’ll be just as comfortable shaping the problem and influencing the roadmap as you are designing the final interaction, prototype, or page. What you’ll be doing Experimentation: Designing and iterating on experiments across landing pages, pricing, signup, and conversion flows to improve engagement, conversion, qualified leads, and trial starts. Collaboration: Working with Growth, Self-serve, Brand, Marketing, Product, Data, Research, and Engineering to turn opportunities into clear, buildable experiences. Data and insight: Using user insights and funnel data to identify opportunities, define hypotheses, and measure impact. Product design: Applying product design thinking to comprehension, navigation, forms, interactive demos, responsiveness, and accessibility. Prototyping and systems: Prototyping in Figma and code, using AI tools where useful, and working within shared components and brand systems. Roadmap ownership: Bringing ideas to the Web Growth roadmap, not just executing briefs. Must have experience Experience: 5+ years in web, product, growth, or a closely related design role, with a strong portfolio of shipped, conversion-focused work. Growth mindset: A track record of using design, growth frameworks, conversion rate optimisation, and funnel analysis to improve outcomes such as leads, conversion, trials, activation, or revenue. Experimentation: Experience designing and iterating on experiments, including A/B tests or other data-informed approaches. B2B SaaS experience is a plus. Craft and taste: Excellent visual and interaction design skills, with a sharp eye for typography, hierarchy, detail, and polish. Systems and brand: Comfortable working within an existing design system and brand, while identifying opportunities to extend and improve it. AI fluency: Experience using AI in your design practice, including tools such as Claude Code, Cursor, Codex, Figma Make, or similar. You should be able to explain how AI has changed your workflow and what you have built or shipped with it. Ownership: Able to take a brief and run with it. You work independently, make good decisions, ask the right questions, and bring solutions rather than just options. Who this role is not for This role is not for you if: You only want to design campaign or marketing pages from a fixed brief. This role owns the journey from first visit through to lead, demo, signup, or trial. You care about visual polish but not about comprehension, navigation, forms, interactive demos, or reducing friction. You don’t want to work with funnel data, user research, experimentation, or the realities of implementation. You want to focus on brand expression without balancing it with usability, accessibility, performance, and measurable growth. You need a fixed roadmap and detailed requirements rather than identifying opportunities and shaping what the team should test next. You’re not interested in working closely with Growth, Marketing, Product, Data, Research, and Engineering to make the website perform better. What success looks like You’ll know you’re successful if: More visitors understand Fin and Intercom, find the right path for their needs, and take the next step with less friction. You’ve improved meaningful growth outcomes across qualified leads, demo engagement, signups, and trial starts. Experiments are well designed, clearly measured, and used to inform what the team does next. You’ve made complex product value easier to understand and act on without relying on extra explanation from Sales or Marketing. You’ve built strong working relationships with Growth, Marketing, Product, Engineering, Data, Research, Sales, and Customer Success. You’ve raised the bar for web growth design through thoughtful, high-quality experiences that people trust and want to use. Interview process We understand that interviewing for a new role is both time- and energy-consuming. We aim to be thorough, speedy, and transparent in our approach. You should expect the entire process to take no more than four weeks from start to finish. You’ll meet with members of our team and have the opportunity to validate that Intercom and the role are the right fit for you. Ready to build something great? If you’re excited by the opportunity to help existing businesses get more value from a self-serve product, and you have the craft, curiosity, commercial thinking, and autonomy to make a real impact, we’d love to hear from you. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Yerevan, Armenia Role Purpose The AI Product Stream Lead defines and delivers AI-powered supply chain solutions that solve real customer and operations problems on the Cargoo platform. You own a product stream end to end, from framing where AI creates value (automation, decision support, agents) to shipping it and proving it works in production. You lead a cross-functional team, balancing customer value, technical and data feasibility, AI quality and cost, business priorities and delivery timelines. You also help set how Cargoo builds product in an AI-native way. Key Responsibilities AI Product Vision & Strategy Shape the stream’s product vision and strategy with stakeholders, in line with Cargoo’s AI strategy and customer needs. Identify and prioritize AI opportunities across freight operations (e.g. exception handling, quoting, document processing, planning and execution support) by value, feasibility and risk. Decide where AI should automate, where it should assist, and where a human must stay in control. Own product decisions, balancing customer value, technical feasibility, AI quality, cost, business priorities and delivery timelines. Leadership & Delivery Lead the development team through the whole product lifecycle, from discovery to rollout and adoption. Decide scope, schedule and quality, including when an AI feature is good enough to ship and when it needs another iteration. Run fast discovery loops: prototype with AI tools, validate with real users and data, then commit. Make sure the team meets internal policies, data protection rules and responsible-AI standards (incl. EU AI Act awareness). Product Management & Requirements Create clear Use Cases, Requirements and Business Rules. For AI features, add expected behaviour, edge cases, failure modes and escalation paths. Define success and evaluation criteria for AI features with engineering: accuracy, latency, cost per task and acceptable error rates, backed by representative test sets. Write User Stories and Acceptance Criteria that cover both deterministic logic and probabilistic AI behaviour. Work with engineering and data owners on data readiness: which data we need, its quality, and who owns it. Own and continuously refine the Product Backlog so the team always works on the highest-value opportunities. Track adoption and impact after release (time saved, automation rate, user trust) and feed the learning back into the roadmap. AI-Native Ways of Working Use AI tools every day for research, specs, prototyping, data analysis and feedback synthesis. Help the team and wider product org adopt AI-assisted delivery practices. Candidate Profile Education & Experience 5+ years managing software development projects, strongly preferably as a Product Owner. Proven managerial skills: team leadership, decision-making and conflict resolution. Degree or diploma in Information Technology, Informatics or a related field. Technical Skills (Must Have) Deep understanding of Agile values, principles and frameworks (Scrum, Kanban, Lean) and the ability to apply them well. Strong analytical skills, comfortable working with data to make product decisions. Solid working understanding of how LLMs and AI agents work, what they are good at, and where they fail (hallucinations, non-determinism, cost, latency). Hands-on, daily use of AI tools in your own work. Fluent English, written and spoken. Strong Plus Having shipped at least one AI/ML or LLM-based feature to production. Experience defining evaluation criteria or test sets for AI features. Logistics background or experience with logistics solutions. Experience with data products, workflow automation or decision-support systems. Behavioral Traits Excellent communication with technical and non-technical audiences, including customers, executives, managers and subject matter experts. Able to explain AI trade-offs in plain language. Strong leadership and decision-making, able to guide teams and resolve conflicts. Analytical, structured and value-driven in prioritization. Evidence over hype. Curious and fast-learning, comfortable with ambiguity and quick iteration.

Location: Limassol, Cyprus Workplace: onsite 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. We're looking for a Sales Representative to grow our Microsoft Advertising business with advertisers and agencies across Central and Eastern Europe (CEE), with a focus on Cyprus-based clients. Many of your clients will be Russian-speaking. Most business communication is in English, with advertisers, with colleagues around the world and with the platforms. You won't work alone. The Client Solutions team and the Performance team support you, and together you work toward the best results for each client. You bring in the right advertisers; together, you make them successful. What you'll do Find, approach and sign advertisers, brands, performance agencies and media agencies in CEE, starting with Cyprus-based companies Understand each client's marketing goals and recommend Microsoft Advertising solutions that deliver measurable results Advise clients on campaign planning, digital media strategy and performance Collect product feedback from advertisers and agencies Negotiate agency deals and guide clients through contracts and account setup Research the market, follow competitors, and represent Aleph at industry events Forecast pipeline and revenue weekly, monthly and yearly, and keep the CRM up to date What you need for this role Proven experience in B2B sales or business development, ideally in digital advertising, ad tech or an agency. We care about your experience, not your degree. A good grasp of digital performance metrics. Search advertising experience is a strong plus. Knowledge of the Cyprus business community, or of CEE markets, is a strong advantage Confidence with complex relationships between clients and agencies Strong organization and the ability to handle several priorities at once Practical use of AI tools (for example Copilot, ChatGPT or Claude) to research prospects, prepare proposals and work faster Excellent Russian and English, spoken and written Readiness to work on-site in Limassol. Candidates willing to relocate are very welcome. What will make us really love you You're excited about digital marketing and sales, and it shows You take ownership, solve problems creatively, and never settle for "good enough" You combine drive to close deals with real relationship-building. Clients and colleagues enjoy working with you. You adapt quickly and do well in a fast-moving environment What you'll love about us Grow your career fast. You'll join a global company and work directly with one of the world's largest advertising platforms. Learn constantly. Our training includes Aleph's own programs and training specific to each platform, so your skills grow a lot. Be part of a real team. You'll have Client Solutions and Performance specialists behind every deal. Private health insurance Visa support if you relocate A great place to work. Our office is in Limassol's Old Town, a short walk from the sea. An international team that celebrates creativity, ambition and results In line with the EU Pay Transparency Directive, we are committed to fair and open pay. For this role, the minimum gross annual base salary is EUR 32,480.   On top of the base salary, the role includes a significant variable component based on performance, paid quarterly. The final offer will reflect your experience, skills and the scope of the role.  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: Limassol, Cyprus Workplace: onsite 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. We're looking for a Business Development Manager to grow our Microsoft Advertising business with advertisers and agencies across Central and Eastern Europe (CEE), with a focus on Cyprus-based clients. Many of your clients will be Russian-speaking. Most business communication is in English, with advertisers, with colleagues around the world and with the platforms. You won't work alone. The Client Solutions team and the Performance team support you, and together you work toward the best results for each client. You bring in the right advertisers; together, you make them successful. What you'll do Find, approach and sign advertisers, brands, performance agencies and media agencies in CEE, starting with Cyprus-based companies Understand each client's marketing goals and recommend Microsoft Advertising solutions that deliver measurable results Advise clients on campaign planning, digital media strategy and performance Collect product feedback from advertisers and agencies Negotiate agency deals and guide clients through contracts and account setup Research the market, follow competitors, and represent Aleph at industry events Forecast pipeline and revenue weekly, monthly and yearly, and keep the CRM up to date What you need for this role Proven experience in B2B sales or business development, ideally in digital advertising, ad tech or an agency. We care about your experience, not your degree. A good grasp of digital performance metrics. Search advertising experience is a strong plus. Knowledge of the Cyprus business community, or of CEE markets, is a strong advantage Confidence with complex relationships between clients and agencies Strong organization and the ability to handle several priorities at once Practical use of AI tools (for example Copilot, ChatGPT or Claude) to research prospects, prepare proposals and work faster Excellent Russian and English, spoken and written Readiness to work on-site in Limassol. Candidates willing to relocate are very welcome. What will make us really love you You're excited about digital marketing and sales, and it shows You take ownership, solve problems creatively, and never settle for "good enough" You combine drive to close deals with real relationship-building. Clients and colleagues enjoy working with you. You adapt quickly and do well in a fast-moving environment What you'll love about us Grow your career fast. You'll join a global company and work directly with one of the world's largest advertising platforms. Learn constantly. Our training includes Aleph's own programs and training specific to each platform, so your skills grow a lot. Be part of a real team. You'll have Client Solutions and Performance specialists behind every deal. Private health insurance Visa support if you relocate A great place to work. Our office is in Limassol's Old Town, a short walk from the sea. An international team that celebrates creativity, ambition and results In line with the EU Pay Transparency Directive, we are committed to fair and open pay. For this role, the minimum gross annual base salary is EUR 32,480.   On top of the base salary, the role includes a significant variable component based on performance, paid quarterly. The final offer will reflect your experience, skills and the scope of the role.  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

About the project: A fast-growing fintech startup providing SaaS solutions for institutional investors. The platform includes advanced solutions for financial analysis, trade flow management and portfolio management. Requirements: — Strong experience with C# / .NET / ASP.NET Core — Solid experience with Angular — Good understanding of SOLID principles and design patterns — Working knowledge of relational databases — Familiarity with Git — Good understanding of UI/UX principles — Experience working in an Agile environment — Strong communication and collaboration skills What we're looking for: — A self-driven engineer passionate about technology — Someone who takes ownership and accountability for their work — Strong attention to detail and a focus on quality — A proactive approach to automation and process improvement — Ability to clearly communicate technical ideas — Comfortable working in a fast-paced, highly collaborative environment — Open to feedback and able to work effectively with both technical and business stakeholders Responsibilities: — Design, develop and maintain components and frameworks for the client's technology ecosystem — Collaborate with internal and external stakeholders to understand application development needs — Research and evaluate new technologies and use cases — Identify inefficiencies and implement appropriate technology solutions — Contribute ideas and improvements to the product and development process

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: Global Workplace: Remote TL;DR: We're hiring a DevRel Lead to make White Circle the AI safety platform engineers and researchers actually want to build with. You'll own how we show up to technical audiences: shipping technical content, running hackathons and meetups, launching open-source tools like Halo, and building partnerships across the AI ecosystem.   ABOUT WHITE CIRCLE White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   WHAT YOU'LL DO - Own White Circle's developer relations: how engineers and AI researchers discover, understand, and adopt what we build - Lead technical launches for open-source releases and developer tools, like our Halo framework, from narrative and demos through to launch day - Write and publish technical content: blog posts, tutorials, walkthroughs, demos, and threads on X and LinkedIn - Organise and run hackathons, meetups, and technical events, mainly in SF and New York - Build and grow a technical community around our open-source work and platform - Set up and run technical partnerships and collaborations with AI labs, dev tools companies, and research teams - Give technical input to promo and product videos, working with our design and creative team on production - Track what's working (signups, repo stars, views, event turnout, hiring pipeline) and double down on it WE'RE LOOKING FOR SOMEONE WHO - Has a strong technical background as a software engineer, ML engineer, or researcher - Has worked at a technical product company, ideally in dev tools, infrastructure, databases, or AI - Has organised hackathons, meetups, or technical events, and can show how they went (turnout, signups, what came out of them) - Has an engaged following among engineers and/or AI researchers on X, LinkedIn, GitHub, or elsewhere - Knows the AI tooling landscape well: coding agents, eval frameworks, open-source models, and who is building what - Can take a complex technical topic and make it compelling for a developer audience without dumbing it down - Thrives with ownership and moves fast without waiting for direction - Is based in the US, or able to work US hours. SF or New York is ideal, but we'll consider exceptional candidates anywhere - Is fluent in English A BIG PLUS - You've led developer marketing or DevRel for a technical launch that drove real adoption - You've contributed to or maintained popular open-source projects - You have existing relationships across the AI research and developer community - You've worked on or around AI safety, evals, or reliability COMPENSATION & BENEFITS - Competitive compensation package, including equity - Flexible time off - Health insurance - Mental health support, including coverage for therapy when you need it - 401(k) retirement plan - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call with Talent (25 min) 2. Take-home assignment, with a choice of a walkthrough of one of our public repos or a launch case study on a sample company 3. Technical chat with Head of Design & Head of Applied Research (45 min) 4. Final conversation with CEO & Head of Engineering (45 min)

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: Barcelona; Cardiff, London or Remote (UK); London 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍 London or Barcelona | UK remote | 💰 £124,400 - 165,000 + Incentive Awards tied to your performance + Benefits | Technology — Data We’re looking for a Staff Data Scientist excited to help build the bank of the future. This is a senior individual contributor role for someone who combines deep technical expertise with strong commercial judgement and can apply both to Monzo’s most important and complex challenges. At Monzo, we’re building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker, which gives data scientists the headspace to focus on more impactful business questions and analyses. As a Staff Data Scientist, you’ll lead efforts on strategically important, business-critical problems. You’ll apply judgement in areas of organisational or technical complexity, steward initiatives end-to-end, and focus your hands-on contribution where it can create the greatest impact. You’ll be a trusted technical partner to senior leaders, raise the bar for Data Science across Monzo, and build capability in others through coaching, reusable approaches and clear standards. Our Data Science team ⭐ We are excited to be expanding and are hiring across our Data Science teams. Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth or Core, we are looking for versatile people who can contribute across squads and collectives. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future! 🔑You’ll play a key role by... Shape and lead the data strategy for a large domain or collective, connecting customer and commercial goals to a clear portfolio of high-impact Data Science work Identify, frame and lead strategically important problems where the path is ambiguous, dependencies span teams, and decisions involve meaningful customer, commercial, regulatory or operational trade-offs Partner with senior leaders across product, engineering, ML, design, research, risk and operations, bringing an independent technical perspective that influences strategy and turns it into measurable outcomes Establish measurement strategies and metric maps that clarify how customer behaviour, product changes and business outcomes connect, enabling teams to test assumptions and make better decisions faster Set and evolve best practices for experimentation, causal inference, forecasting, optimisation and decision science, choosing methods that are proportionate to the decision and its risks Remain hands-on where your expertise is most valuable: exploring complex data, designing analyses and experiments, building models or prototypes, and resolving the hardest technical questions Steward critical data products and initiatives end-to-end, ensuring they are robust, well-governed, clearly documented and adopted by the people who need them Balance pace and analytical rigour, making pragmatic trade-offs while protecting the quality, reproducibility and interpretability of your work Raise Data Science standards across Monzo through technical direction, proposals, reviews, reusable methods and thoughtful challenge Coach and mentor data scientists and analytics engineers, using live projects and wider discipline initiatives to build sustainable capability beyond your own individual output 🤩 We’d love to hear from you if… You have an exceptional track record of leading complex, business-critical Data Science work from ambiguous problem framing through to measurable outcomes You have shaped strategy across a large product or business domain and can influence senior leaders through clear, independent judgement You bring deep expertise across several Data Science disciplines and can set the technical direction for work involving significant complexity, uncertainty or risk You repeatedly create clarity across organisational boundaries, resolve difficult dependencies and turn long-term strategy into decisive action You communicate complex ideas, assumptions and risks with clarity, and hold a consistently high bar for analytical quality, governance and reproducibility You remain a highly credible hands-on practitioner with SQL and Python, while raising standards and multiplying the impact of experienced colleagues The interview process: Our interview process involves: Recruiter Call Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2–3 weeks, but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. For more insight into the hiring experience at Monzo, check out our blog post written by one of our Recruiters - Data Hiring at Monzo . What’s in it for you: 💰 £124,400 - £165,000 + Incentive Awards tied to your performance + Benefits ✈️ We can help you relocate to the UK or Spain ✅ We can sponsor visas 📍 This role can be based in our London or Barcelona offices, but we’re also open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more - see our full list of benefits . If you prefer to work part-time, we’ll make this happen whenever we can — whether this is to help you meet other commitments or strike a great work-life balance. #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We’re looking for a Partnerships Manager to build and grow partnerships for Mayflower across technology, hardware, marketing, and content. You’ll manage the full partnership lifecycle: find opportunities, assess their business potential, negotiate terms, work with internal teams to launch them, and measure results. You’ll also support existing partners and find ways to grow these relationships. Job Responsibilities Manage existing relationships: Be the main contact for partners. Stay in touch, resolve issues, review results, and find opportunities to expand cooperation. Find new partners: Research relevant companies and find opportunities. Prioritize them based on business value, fit with our brand and goals, and the effort needed to launch. Build business cases: Estimate potential revenue, costs, resource needs, and return on investment. Explain the expected impact on business metrics and the assumptions behind your estimates. Negotiate and formalize agreements: Agree on scope, commercial terms, responsibilities, timelines, and success metrics. Work with Legal and other teams to document these agreements. Run deep research: Find technology and hardware partners based on product needs, comparing their capabilities, costs, and integration requirements. Ensure that we find the best fit. Drive implementation: Turn agreements into clear launch plans with owners, deadlines, and dependencies. Work with Product, Marketing, Analytics, and other teams to launch partnerships and keep them running. Coordinate joint marketing if needed: Work with partners and the Brand Marketing team on campaigns, promotions, and launches. Set clear goals and agree on how results will be measured. Improve partnership performance: Compare results with expectations. Recommend when to expand, adjust, renew, or end a partnership. You will thrive if you have… 4+ years of experience managing the full partnership lifecycle . Strong negotiation and communication skills. You can work through disagreements and reach clear decisions with partners and internal teams. Ability to manage several partnerships independently, set priorities, and follow through on details. Experience in business development, including finding new partners and managing existing relationships. A track record of taking partnerships from initial discussions through negotiation, launch, and performance review. Strong analytical skills: you can build a business case, assess commercial terms, and estimate the impact on business metrics. Experience delivering projects with product, engineering, and marketing teams. You can turn an opportunity into clear requirements and coordinate the work needed to launch it. Strong written and spoken English. Nice to have Practical experience in marketing, including brand marketing, communications, or user acquisition. Experience in product management, product operations, or product integrations. Experience working with technology companies, hardware manufacturers, or content providers. A basic understanding of APIs and integrations, enough to discuss requirements with technical teams. Experience with joint campaigns, affiliate partnerships, or revenue-sharing agreements. Experience reviewing partners for policy compliance and business risks. An existing network of contacts in relevant industries. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR interview (40 min). Test task. Final interview (45 min). Recommendations check. Job Offer.

Location: United States About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. Role Description We are seeking an exceptional Program Director to own and scale the execution of Enterprise fine-tuning projects across a major client portfolio. This role focuses on operational excellence and flawless delivery, working in close partnership with business development, product, and engineering teams to drive revenue growth through exceptional client outcomes. As Program Director, you will own the process management and client engagement behind these projects. You will work directly with enterprise engineering, platform, and product teams to turn a business problem into a scoped, delivered fine-tuning engagement. This is a senior, hands-on role: you will run the work yourself, not just oversee it. You will combine consulting-grade program management with a working understanding of how fine-tuning projects run, and experience navigating enterprise procurement and IT. What you’ll do Be the senior enterprise engagement lead. Run discovery with the client: stakeholder interviews, use-case prioritisation, business case and ROI, then scope and deliver the engagement end to end, including model hosting, SLAs and security reviews. Improve GenAI systems already in production, particularly across quality, cost, or latency. Take ownership of active client projects, managing scope, timelines, and stakeholders. Navigate enterprise procurement, IT infrastructure, and security processes on the client side. Our clients are tech-forward enterprises. Your counterparts are CTOs and platform, infrastructure and ML engineering leads, not procurement desks alone. Translate between client product and engineering buyers and our internal data and machine learning teams. Partner with the sales team on opportunities and help shape offerings as the business grows. Build repeatable processes and playbooks so the practice can scale across new clients and industries. Required Skills and Experience Strong consulting experience with a record of hands-on client delivery. Working technical fluency in LLMs and fine-tuning. You will partner closely with our ML engineers; you don't need to be one, and this is not a coding role. Product and process management skills, with the ability to structure ambiguous problems and drive them to completion. Experience working with large enterprises, including their procurement processes and IT infrastructure. Excellent communication skills with technical and non-technical stakeholders, including senior client leadership. STEM background preferred. Why This Role Fine-tuning needs three things: compute, which is commoditised; ML engineers, of whom there are more every year; and high-quality data, which is what actually limits model quality. Toloka produces that data, which puts us in a position which pure fine-tuning shops are not. You would join on the ground floor of this practice and help build it, including the forward-deployed team as it grows. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary, bonus, and ESOP. Paid PTO and benefits will vary depending on location. We offer a full remote or hybrid model (if you are based in NL or Serbia). IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: European Union About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. Role Description We are seeking an exceptional Program Director to own and scale the execution of Enterprise fine-tuning projects across a major client portfolio. This role focuses on operational excellence and flawless delivery, working in close partnership with business development, product, and engineering teams to drive revenue growth through exceptional client outcomes. As Program Director, you will own the process management and client engagement behind these projects. You will work directly with enterprise engineering, platform, and product teams to turn a business problem into a scoped, delivered fine-tuning engagement. This is a senior, hands-on role: you will run the work yourself, not just oversee it. You will combine consulting-grade program management with a working understanding of how fine-tuning projects run, and experience navigating enterprise procurement and IT. What you’ll do Be the senior enterprise engagement lead. Run discovery with the client: stakeholder interviews, use-case prioritisation, business case and ROI, then scope and deliver the engagement end to end, including model hosting, SLAs and security reviews. Improve GenAI systems already in production, particularly across quality, cost, or latency. Take ownership of active client projects, managing scope, timelines, and stakeholders. Navigate enterprise procurement, IT infrastructure, and security processes on the client side. Our clients are tech-forward enterprises. Your counterparts are CTOs and platform, infrastructure and ML engineering leads, not procurement desks alone. Translate between client product and engineering buyers and our internal data and machine learning teams. Partner with the sales team on opportunities and help shape offerings as the business grows. Build repeatable processes and playbooks so the practice can scale across new clients and industries. Required Skills and Experience Strong consulting experience with a record of hands-on client delivery. Working technical fluency in LLMs and fine-tuning. You will partner closely with our ML engineers; you don't need to be one, and this is not a coding role. Product and process management skills, with the ability to structure ambiguous problems and drive them to completion. Experience working with large enterprises, including their procurement processes and IT infrastructure. Excellent communication skills with technical and non-technical stakeholders, including senior client leadership. STEM background preferred. Why This Role Fine-tuning needs three things: compute, which is commoditised; ML engineers, of whom there are more every year; and high-quality data, which is what actually limits model quality. Toloka produces that data, which puts us in a position which pure fine-tuning shops are not. You would join on the ground floor of this practice and help build it, including the forward-deployed team as it grows. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary, bonus, and ESOP. Paid PTO and benefits will vary depending on location. We offer a full remote or hybrid model (if you are based in NL or Serbia). IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

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

Location: San Francisco Workplace: OnSite ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is growing fast, and how we hire shapes what we become. As our Recruiting Operations Program Manager, you'll find where the recruiting team is losing time or quality, confirm it with data, and build and run the program that fixes it. Some of that work is quick, like a data pull for leadership or an Ashby answer for a recruiter. Some of it spans months and needs executive buy-in. You'll identify, build and own programs end to end, from redesigning core recruiting processes to building and shipping A-powered tools that change how our recruiters work every day. You'll work across Ashby, Notion, Slack, and Claude, and treat AI as a core part of how recruiting runs. RESPONSIBILITIES - Build and lead large-scale recruiting programs end to end: secure leadership buy-in, manage timelines across stakeholders, and partner with our Recruiting Operations Data Analyst to use data to decide what to change and how to measure it. - Break large, ambiguous problems into projects with clearly-structured phases, owners, and deadlines, and drive them through to adoption, not just launch. - Analyze interview plans, pass-through rates, stage timing, and interviewer load in Ashby, and turn findings into concrete recommendations. - Support operational asks from recruiters and leadership, and turn repeated asks into self-serve tools or documented answers. - Build, pilot, and iterate on Claude-powered tools and workflows that solve recurring pain points across the recruiting team. - Keep recruiting documentation – including interview guides, playbooks, SOPs, and training material – current, monitored, and easy to find. - Propose and roll out process changes that make recruiting faster and more consistent, including the comms and training that make them stick. REQUIREMENTS - 3+ years in recruiting operations, program management, or a related operations role at a fast-growing company. - Track record of building and running cross-functional projects end to end with clear project management rigor, from securing senior leaders’ buy-in to execution and close-out. - Comfort pulling, analyzing, and presenting data, and turning it into clear recommendations. - Clear, concise writing, including for executive audiences. - Strong prioritization skills, with the ability to balance long-running programs with day-to-day asks. NICE TO HAVE - PMP or project management certification a strong plus. - Hands-on Ashby experience, especially reporting and dashboards, or deep experience with another ATS, including using data and metrics to drive decisions and set priorities. - Experience building workflows or tools with AI (Claude, ChatGPT, or similar). BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).