Вакансии

Location: Remote-Friendly, United States 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 Network Deployment and Maintenance Lead within Anthropic's Data Center Operations (DCO) organization, you will ensure the network inside our data halls is brought online and kept healthy across a growing fleet of partner-operated data centers. The scope is the network within and between data halls: the cluster network, management, telemetry, accelerator chip back-end networks, aggregation layer(s), as well as the cabling, optics, and switching around them. On the deployment side, you are engaged during planning and construction, and will be on site during late-stage construction through network delivery and receiving, cabling, integration, turn-up, validation, and acceptance. You will be the on site lead for structured handover of network delivery into production operations. On the maintenance side, you drive the network repair program including: break-fix and ticket flow, vendor RMA, sparing policies, and the SLAs which operations partners execute against. Finally, some of this work touches core networks, where you will partner with Anthropics WAN/Core network team to support campus/DC core network deployment and maintenance activities. This is a program and execution role. You will work with the Global Capacity Delivery Program Leads, the Repairs Program Leads, and the broader Data Center Operations organization to extend network coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on the floor at each site during network delivery, turn-up, QA, and close-out, and at sites where repair performance needs attention. Your authority comes from being on site where you foster strong relationships with on site teams. Working with third party vendors and partners, you set direction, priorities, and standards for execution. Success is defined against Anthropic-owned ticket and telemetry data you’ve built rather than self-reported status. If you have deployed and maintained data center networks at scale, are passionate about hyperscale data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Own network deployment outcomes for your assigned sites and data-hall waves: DCN, management, telemetry, Accelerator chip back-end networks, aggregation layer(s) turned up and accepted on schedule, with exceptions closed out, or risk called early enough for leadership to act. Engage from construction kickoff and confirm network readiness ahead of each wave: pathways and fiber trays, cabling and optics on hand, receiving paths, and partner staffing, working the gaps with the site operations partner and facilities counterparts before gear arrives. Be on site at key points during network delivery, cabling, turn-up, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. Validate the handover gate for each network build: cabling and link validation complete, acceptance criteria met, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the repair program. Own the network repair program across the fleet: repair SLAs, prioritization, and escalation paths for switches, optics, and cabling, with turnaround time and backlog tracked in Anthropic-owned ticket and telemetry dashboards. Manage RMA and spares for network gear with vendors and site operations partners, including warranty claims, return cycle times, and spares levels by site and part, so that parts availability never gates a repair SLA. Lead the operating cadence with partner site leads, including weekly deployment and repair reviews and scorecards; analyze failure patterns and drive corrective actions with network engineering, suppliers, and the WAN/Core teams when the core network/MMR is involved. Turn lessons from each deployment and repair into program standards (procedures, checklists, acceptance criteria, and metrics), and communicate status, dependencies, and risk to engineering, capacity planning, and leadership. You may be a good fit if you: Have 8+ years of experience in data center operations or network deployment as a manager, technical lead or related role, including accountability for delivery milestones and production availability. Can demonstrate a proven track record leading data center network deployments at a large scale across multiple sites or data-hall waves, from early floor access through turn-up and acceptance. Have run break-fix or repair programs for network hardware, including ticket flow, RMA, and spares, and managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, SLAs, quality gates, operational reviews, and corrective action. Possess hands-on technical depth in data center networking, including switches, structured cabling, fiber, and optics, enough to independently verify turn-up and repair quality and audit vendor claims. Have built or substantially improved operational processes. Are comfortable working with schedule, ticket, telemetry, and inventory data to drive decisions. Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% travel expected. Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: Experience with dense accelerator networks, including high-speed interconnect, optics, and cabling at rack and pod scale. Experience standing up network operations at a new site or data hall, from commissioning handoff through first turn-up. Experience managing RMA and warranty programs with network OEMs, including failure analysis and supplier quality engagement. Experience delivering deployment and repair outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. Familiarity with meet-me room and WAN bring-up, and with the handoffs between in-hall and building-level network teams. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - US Sr. Developer Relations Manager Backblaze — Remote, US Compensation: $172,000–$215,000 base + equity About Backblaze Backblaze is the object storage layer for AI and data-intensive workloads, fueling customer success with cloud storage purpose-built for scalable performance and economics. We make customers unstoppable by solving their toughest storage challenges. Today we manage nearly 6 billion gigabytes of data for 500K+ customers across 175+ countries with fast growth among Neoclouds, GenAI companies, and companies reliant on data–heavy workloads. Developers are at the center of our next chapter, and we're serious about earning their trust. About the Role Developer relations is evolving quickly. Coding agents, informed by reference architectures and machine-readable documentation, are increasingly making integration decisions on behalf of developers. And trust, transparency, and human interaction are more important than ever as open source ideals and corporate agendas are weirdly attacked, limited, or promoted by unexpected sources and trends. Backblaze B2 Cloud storage was launched as a result of developer demand and has been committed to the developer ecosystem since day one. Today, we are seeking a leader who can help us become more present and trusted than ever before in this space, both as the storage default for agent-led projects and as a leading source of support, inspiration, and enablement for developers who need storage for whatever they’re building. As Sr. Developer Relations Manager, you'll work across a strong set of existing assets — a mature docs team, an engineering team focused on AI ecosystem integrations, our Flamethrower Startup Program, a content org, and an outward-facing SE team — and coordinate their outputs into a coherent, credible developer presence that earns mindshare where it matters most. This is a program-defining role for someone who thinks in systems, works backwards from adoption goals, knows how to make a company technically credible with developers who haven't heard of it yet, and is comfortable both channeling and being the face of developer relationships at Backblaze. What You'll Own Developer Presence in the Agentic Stack The primary goal of this role is to ensure Backblaze B2 is the best storage layer for developers and for their agents. That means understanding how AI coders discover and evaluate infrastructure tools today: through MCP servers, coding agent contexts, reference architectures, SDKs, and machine-readable documentation. You'll work with the internal AI team to define what "agent-ready" means for Backblaze and drive execution against it across engineering, docs, and content. Cross-Functional Coordination This role starts as an individual contributor, but you'll have real influence over a strong set of resources: an engineering team building integrations into AI tooling (MLFlow, ComfyUI, Hugging Face, popular agent frameworks), a docs team that can be directed toward structured, agent-consumable formats, a content org that can amplify what you build, and an SE team that can extend your enablement work, among a number of others at the company. Your job is to coordinate these teams around a unified developer strategy, keep that strategy moving, and share its outputs with the broader world. Community and Ecosystem Developers trust other developers. You'll underscore Backblaze's credibility in the communities where AI builders live: GitHub, Discord, open source projects, developer events, and the growing ecosystem of AI infrastructure tooling. You'll elevate internal technical voices, use their expertise to build your own thought leadership in the space, and partner with ecosystem players, and show up in a way that is earned, not marketed. Critically, you should have a presence in this community before coming to the role. Developer Feedback Loop You'll maintain a tight feedback loop from the developer community back to product and engineering — surfacing adoption friction, unmet integration needs, and emerging patterns worth prioritizing. The Flamethrower Startup Program gives you direct access to early-stage builders who can serve as signal-rich canaries for what's working and what isn't. Metrics and Program Accountability You'll define what success looks like — developer signups, activation rates, B2 adoption in AI frameworks, community engagement, content reach — and own progress against it. We're building this program to drive real revenue, and you'll be expected to connect the dots between awareness and conversion. Success in this role opens the door to bringing on, or from elsewhere in the company, developer resources to grow the program. What We're Looking For Meaningful DevRel, developer marketing, or developer experience leadership at a cloud infrastructure, open source, or AI tooling company. You've built or significantly grown a developer program, not just contributed to one. Understand how agentic workflows are reshaping how developers discover and integrate infrastructure tools — and you have opinions about what that means for DevRel strategy. Technically credible. You can read a codebase, evaluate an SDK, write a working integration, and have a real conversation with an engineer about tradeoffs. You don't need to be a full-time SWE, but you need to have been one, or close to it. Worked, or started, without a large team. You know how to amplify yourself through cross-functional relationships, external partners, and community rather than headcount. Strong communicator — to developers externally and to leadership internally. You can write a crisp technical tutorial and a clear exec summary with equal ease. Existing presence in developer communities. A following, conference talks, open source contributions, a technical blog — some signal that developers pay attention when you show up. Strong plus: Direct experience with model training, data processing or generative media Familiarity with how coding agents (Claude Code, Cursor, Copilot, etc.) surface and recommend infrastructure tools Experience working with or building on top of open source frameworks in the AI/ML ecosystem (MLflow, DVC, Ray Data, WebDataset, and MosaicML Streaming) Prior experience running or contributing to a startup/developer program (accelerator, cohort model, or similar) What You'll Have to Work With You won't be starting from scratch. You'll work closely with: A mature, capable docs team that can be directed toward agent-consumable documentation formats and structured reference content A strong engineering team dedicated to integrating Backblaze into the AI tooling ecosystem — building connectors, working on external integrations, and driving internal product improvements for developer use cases Flamethrower , our startup program, which is already generating community energy and early-adopter signal among AI builders An outward-facing solutions engineering team that can extend your enablement work with hands-on technical support A content org that can help produce and amplify developer-facing assets Active strategic work from Rawkode Academy laying the DevRel foundation: audit, persona validation, content models, and engagement strategy Why This Matters Now Developers are making storage decisions earlier in the stack than ever before — often before they've spoken to a salesperson, often through a coding agent recommending a reference architecture. Backblaze has the right product, the right price point, and a growing engineering investment behind this motion. What we need is the person who can translate that into developer conviction at scale. The window to establish Backblaze as the default AI storage layer is open now. This role exists to make sure we don't miss it. Backblaze Perks Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro plus a generous workstation stipend Childcare bonus Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $172,000 - $215,000 plus 20% target annual bonus and RSUs. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer. Backblaze is proud to be an Equal Opportunity Employer. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education.

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix, Steuerbot and TaxScouts, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.   YOUR OPPORTUNITY: AI is shifting how the best products get built. The handoffs between product, design, and engineering are slowing us down. The companies moving fastest are doing it with people who own the full loop, from the user problem to the shipped feature, without losing the thread. At Taxfix, we’re rebuilding our R&D organization around this idea. We call these people builders. A Builder has a primary craft, one they’re genuinely excellent at, but they don’t stop there. They stretch across product, design, and engineering as the situation demands, using AI to cover the gaps. They’re accountable to outcomes, not job descriptions. Taxfix has put €5 billion back into our customers’ pockets and we aren’t stopping there. We operate in Germany, Spain, and the UK, and we’re in the middle of a genuine AI transformation in how we build and how we’re organized. Assume there’s no designer to give you a Figma file. No engineer to hand the spec to. The magic is knowing what to build, why, and in what order, then making it happen. If building the thing sounds more natural to you than describing it, this role is for you.   YOUR RESPONSIBILITIES AND DECISIONS: - Take a user problem from rough idea to shipped product. Write the brief, design the flow, prototype it, and get it in front of users, with as few handoffs as possible. Own the full loop. - Compress research, synthesis, and spec-writing from weeks into hours. You reach for AI tools not because you’ve been asked to, but because they faster make you faster in delivering high quality outcome. You know when to trust the output, when to edit it, and when to reject it. Use AI as a force multiplier. - You structure fuzzy problems, identify what should and shouldn’t be built, and move forward when there are dozens of possible directions. The magic is in the trade-offs, not the feature list. Turn ambiguous ideas into things users can trust. - You collaborate effectively with technical and non-technical stakeholders on AI-related product work, translating AI concepts, capabilities, limitations, and outputs into clear product decisions. You work effectively in hybrid human-AI teams. Work in small, focused teams. - You know the metric your team is trying to move. You measure your week by what changed in user behaviour, not by how many tickets moved to Done. Be accountable to outcomes, not roadmaps. - You give feedback directly, to anyone, regardless of level. You raise blockers early and in the open. Push back when something’s wrong. Team player who raises the bar.   YOUR PROFILE: YOUR CRAFT - 5+ years experience in Product Management (ideally in fintech or B2B). You’ve shipped things that real people use, and you can point to the metric that moved when you did. - Understand implicitly the product development process - from discovery, to user research to experimentation. You are able to build and defend a compelling strategy that solves user needs. - You have a builder track record: you’ve made things with AI, not just written specs about them. Shipped products, agent workflows, or tools real users have touched. Any of these count whether at work or in your personal life. - You’re AI-native by default. You use tools like Claude, Cursor, Lovable, or similar regularly. You follow the AI product space closely and you know the difference between a demo and something production-ready. - You’ve built personal AI workflows that make you meaningfully faster. You know when to trust AI output, when to edit it, and when to reject it. - You’ve gone from user problem to testable prototype without waiting for a brief to be written for you. The output was good enough that a team shipped from it. - Low PM baggage: you’re not attached to how product management "should" be done. You care about outcomes, not territory. - When designing and shipping AI-enabled products, you consider privacy, safety, fairness, transparency, bias, and accountability. You assess when AI-generated outputs are appropriate for use and raise concerns when risks or limitations are identified. YOUR RANGE - Across all three disciplines, you can hold your own: in Product you can identify opportunities, assess impact, and prioritize ruthlessly. In Design, you have taste: you know when something looks right but feels wrong. In Engineering, you’ve used AI coding tools to build something real, and you’re not dependent on an engineer to tell you why it’s broken. HOW YOU WORK - Data fluency: you know the metric you were trying to move, and you can say whether you moved it, with healthy skepticism about what metrics do and don’t tell you. - You believe in experimentation and ship with velocity to learn quickly. You know your way around AB tests and are excited to try new data science models to learn faster. - You’ve worked on products where getting it wrong has real consequences for real people, and that raised your bar, not lowered it. - You’ve found a way through blockers rather than waiting to be unblocked. When something was genuinely impossible, you documented why and moved on. - You bring an entrepreneurial and independent mindset. You are excited about spotting opportunities and then acting on them. - Fluency in English is required (German is a plus). THIS ROLE IS NOT FOR YOU IF… - You’re not genuinely excited about being able to stretch across design and engineering functions. - You’ve never built an AI prototype and/or shipped code, side projects count. - You pride yourself in what you delivered rather than its impact - You need certainty, a full brief, or someone else’s research to get started. - You don’t believe in fast learning and getting things into customers hands early and use   WHY TAXFIX? - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Learn more about Team Taxfix https://medium.com/taxfix on our blog and get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.   Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Software Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. In November 2023 we launched our non-food retail offering, Deliveroo ‘Shopping’, where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we’ve developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy. We’re looking for a Software Engineer to join our London team. In this role, you’ll help us build and maintain high-performance systems that power our hyper-local marketplace, ensuring a seamless experience for millions of users. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining a multi-disciplinary engineering team focused on technical execution and collaboration. As a Software Engineer at Deliveroo, your individual work contributes to achieving goals across your team, simplifying the maintenance of production systems while ensuring operational readiness and health. Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, developing, releasing and running large-scale web applications whilst transitioning our monolithic codebase to a microservice-based architecture Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features, whilst defining the backend architecture and tech stack for a product area Optimise Operations: Improve performance, reliability, scalability and security for our backend systems Collaborate & Influence: Build relationships across global engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. In November 2023 we launched our non-food retail offering, Deliveroo ‘Shopping’, where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we’ve developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy. We’re looking for a Senior Software Engineer to join our London (Hybrid - 3 days from the office) team. In this role, you’ll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, developing, releasing and running large-scale web applications whilst transitioning our monolithic codebase to a microservice-based architecture Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features, whilst defining the backend architecture and tech stack for a product area Optimise Operations: Improve performance, reliability, scalability and security for our backend systems Collaborate & Influence: Build relationships across global engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Workplace: fully We are currently seeking a dedicated Afterhours Driver Support Specialist to join our team, with weekend shifts required. The primary role of this position is to ensure that our drivers experience a smooth journey, particularly during late hours when support is crucial. The key responsibilities include being the initial point of contact for drivers facing issues during the night shift, listening to their concerns, empathizing, and resolving them efficiently. The specialist will also collaborate within the company's communication channels (Slack) to tag the appropriate dispatchers and drivers for prompt assistance. Additionally, this role involves guiding drivers through any load, receiver, or shipper issues they encounter after hours, ensuring their operations remain on track. The specialist will use our system, TMS, to identify load numbers, then contact brokers to get necessary directions, helping drivers reach their destinations smoothly. You will be working 8-hour shifts with at least one more team member assigned to each shift. Although two rest days are offered every week, they might not necessarily be on Saturday and Sunday. Key Responsibilities: Handle After Hours Hours Driver Problems: Act as the primary contact for drivers with issues during night shifts, providing empathetic and efficient solutions. Tag Dispatchers and Drivers: Work within the company communication channels to ensure timely and accurate information flow between dispatchers and drivers. Assist with Load, Receiver, and Shipper Issues: Guide drivers through problems related to loads, receivers, or shippers, maintaining schedule adherence. Navigate TMS: Use the company’s system to find load numbers, contact brokers for directions, and assist drivers in reaching their destinations efficiently. Qualifications: Experience: Proven sales experience, preferably in logistics, transportation, or a related field. Communication Skills: Strong verbal and written communication skills with the ability to present complex information clearly. Self-Starter: Ability to work independently and take initiative to achieve goals. Tech-Savvy: Comfortable using computer software tools and understanding basic logistics software solutions. Problem-Solving: Ability to think on your feet and address potential partner concerns effectively. Why Join Spotter? Comprehensive Training: You will go through a two week comprehensive training course that pays $150 per week stipend to start. Competitive Salary: Attractive commission structure. Paid PTO: Up to 10 days per year of paid time off. Growth Opportunities: Be part of a rapidly growing company with room for career advancement. Innovative Culture: Work with a team that values creativity, collaboration, and continuous improvement.

Day-to-day, the Packaging Designer leads packaging systems from concept through production, extends the brand's visual system across retail displays and campaign assets, and presents concepts to internal stakeholders and clients. Lead packaging systems from concept through production across multiple product categories.

Location: Birmingham, United Kingdom; Bristol, United Kingdom; Dublin, Ireland; Edinburgh, United Kingdom; Leeds, United Kingdom; London, United Kingdom; Manchester, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team United Kingdom & Ireland (UK&I) is the largest market for Deliveroo and is at the forefront of strategic, commercial and operational innovation. Our partner-facing commercial teams present one of the biggest growth opportunities available to Deliveroo and we are building a team of commercially savvy, entrepreneurial and ambitious individuals to help us fulfil our partners potential in key categories. About the role We are looking for a Client Partner to join our UKI Commercial team in the Chinese Category. Reporting to the Head of Chinese Category, this is an exciting opportunity to drive the growth of Chinese restaurants across UKI. You will manage a team of Commercial Account Managers who manage and sign the highest performing Chinese restaurants around the UK and Ireland.This position will focus on the regions outside of London. The role will be commercially focused and require cross-functional collaboration with different teams across the Deliveroo business (e.g. Regional Managers, Sales, Finance and Marketing) to ensure the Chinese Category is performing to its best. What you'll be doing Category Leadership: working not just with your direct team, but with regional commercial teams across UK & Ireland, technology, marketing and partnerships to maximise and grow the Category. Line management: managing a direct team of Chinese commercial account managers based in our key strategic regional locations. Portfolio management: you’ll own the relationship with some of our biggest partners, helping them grow their business, in order to grow ours. Commercial Acumen: lead your commercial team to negotiate effectively with restaurants to achieve the best outcomes for Deliveroo and grow the partners business. Role Model: A leader within the team, you will be responsible for driving up sales and commercial performance across the Category including role modelling best-in-class behaviours, managing commercial managers supporting them to hit team targets and grow their portfolios. Delivering programmes: as a leader in our business, you’ll lead the delivery and performance of large commercial programmes by working across regional, commercial and project teams based in and out of Head Office. Tasting: Sample food from a variety of high quality establishments and attend restaurant and food meet ups.  Enjoy the restaurant scene and have a passion for all the different aspects of Chinese cuisine. Requirements 5+ sales and commercial experience in a similar market and industry. A strong leader, able to influence colleagues both inside and outside of our organisation in order to achieve our business goals. Capable of managing cross functional initiatives to improve ways of working and commercial outcomes. Fluent Mandarin speaker. This is a real must as most of our Chinese partners prefer to communicate in Mandarin. Experienced manager, managing a direct team of commercial managers and ensuring that they hit targets by supporting their clients' performance. Strong negotiator, able to structure win-win deals for restaurants and for Deliveroo Commercially knowledgeable who understands the economics of food delivery - for restaurants and Deliveroo. Be able to demonstrate product and industry knowledge to clients. Effective relationship-building and communication skills whether face to face, through phone, WeChat or email. Have an interest in all things food and restaurants. Be tenacious and motivated. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team Our global Legal team has built a strong reputation within the company for our highly collaborative and supportive approach to counseling, always with a bias for action. We are a diverse group of lawyers and legal professionals with a shared passion for providing creative, best-in-class service to our business partners. The Competition & Litigation team advises DoorDash, Wolt, and Deliveroo on antitrust, competition, and litigation matters across every market we operate in. About the Role We are looking for a Senior Counsel, Competition & Litigation to join our growing Legal team and work globally across the DoorDash, Wolt, and Deliveroo brands. Reporting to the Director, Competition & Litigation, you’ll be a generalist antitrust attorney who can move fast: advising product and business teams in real time, supporting M&A and strategic investments alongside our Corporate Development team, and driving forward regulatory investigations and inquiries, with a particular focus on Europe. This is a hybrid role that will require you to work from our London HQ or Brussels office for a minimum of 3 days a week. You’re excited about this opportunity because you will… Serve as a trusted antitrust/competition advisor to product, business, and corporate development teams, delivering fast, practical counsel that lets the business move with velocity while properly managing risk. Advise on the competition and antitrust dimensions of M&A transactions, strategic investments, and commercial partnerships, partnering closely with Corporate Development and our sales teams. Manage antitrust and competition regulatory investigations and inquiries globally. Help build out DoorDash’s international competition compliance program, partnering with the Director, Competition & Litigation on training, policies, and processes across DoorDash, Wolt, and Deliveroo. Support competition-related litigation matters as needed, including document collection and review, witness preparation, and responses to third-party subpoenas. Partner with policy and government relations teams to track legal and regulatory developments that could affect the business. We’re excited about you because… You are a qualified solicitor in England & Wales (or bring similar qualifications in another European jurisdiction) with significant experience providing strategic legal advice to international businesses. You have 7+ years of experience at a leading law firm and/or in-house legal department, with a strong grounding in antitrust/competition law as a generalist — spanning M&A counseling, litigation, and regulatory/government investigations. You have experience advising on competition issues in mergers, acquisitions, and strategic investments, including regulatory filings and clearance strategy. You have experience handling antitrust/competition regulatory inquiries or investigations, ideally including direct engagement with regulators such as the European Commission, UK CMA, DOJ, FTC, or other competition authorities. You’re comfortable operating as a generalist across a broad portfolio — you don’t need deep pre-existing expertise in every sub-area, but you can quickly get up to speed and give practical, business-minded advice. You’re an excellent product counselor: able to translate complex antitrust concepts into clear, fast, actionable guidance for product and business teams. You’re comfortable working across multiple jurisdictions and legal systems, and can navigate the added complexity of advising across three global brands (DoorDash, Wolt, and Deliveroo). You have strong organizational skills and can juggle multiple concurrent workstreams in a fast-moving environment, both independently and as part of a team. You’re an outstanding communicator, both orally and in writing, with sound judgment on when to escalate and when to move forward independently. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Partner closely with business stakeholders with autonomy, pace and real responsibility. 🧠 Learn something new everyday Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine. Our interview process typically includes 3-4 stages. Find more about how we hire here . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

AI / LLM Engineer (Go + Python) IT Вакансии Разработка и развитие production LLM/AI-систем и AI-агентов, построение agentic workflows, работа с prompt- и context-engineering, реализация structured output и function/tool calling, создание RAG-пайплайнов и интеграция LLM с API, базами данных и сервисами. Понимание RAG, embeddings, retrieval и reranking.

Location: Warsaw, Mazowieckie, Poland; Dubai; London, England, United Kingdom Workplace: remote Capital.com is hiring a UA Manager (PPC) to own paid acquisition performance across our Asia and Australia markets. You'll join a team of regional specialists with day-to-day accountability for campaign performance, budget efficiency, and growth against regional revenue and ROAS targets. This is a hands-on, individual-contributor role: you will manage live campaigns directly, not oversee an agency at arm's length. Google Ads is the core of the role; paid social experience is a valuable bonus but not a requirement. What you'll do: Own and optimise Google Ads (Search, PMax, UAC, Display, YouTube) campaigns across Asia and Australia markets — this is the primary focus of the role. Where capacity and skillset allow, extend into paid social (Meta, TikTok, Snapchat) to support the broader regional media mix. Manage budget pacing and reallocation across markets and channels within your regions. Deliver against regional KPI targets: ROAS and CPA per first-time deposit. Run structured A/B tests on creative, bidding strategy, and audience targeting; report results with clear before/after evidence. Monitor and account for iOS attribution limitations (ATT/SKAD), PMax's lack of placement-level visibility, and regional regulatory constraints (e.g. licensing regimes across Asia markets) when planning campaigns. Localise campaign strategy to market nuance: language, competitive landscape, regulatory regime (e.g. ASIC in Australia; varied licensing across Asia markets), and payment/funding behaviour. Partner with regional marketing and compliance stakeholders on creative sign-off and go-to-market timing. Liaise directly with Google (and, where relevant, Meta/TikTok/Snapchat) account teams on platform features, budget commitments, and escalations. Maintain a weekly reporting cadence on spend, revenue, ROAS, and CPA for your regions, flagging anomalies before they show up in monthly numbers. What we're looking for: 3+ years of hands-on PPC management, with fintech, trading, or regulated financial services experience is a must have. You understand compliance-driven creative constraints, deposit-based KPIs, and CFD/trading audience behaviour — this is not transferable from a generic e-commerce or app-growth background without a steep ramp-up. Direct, deep platform experience in Google Ads (Search, PMax, UAC) — this is the core requirement. Paid social platform experience (Meta, TikTok, Snapchat Ads Manager) is a strong bonus, not a requirement. Working knowledge of mobile attribution constraints (iOS ATT/SKAD, modelled vs deterministic conversion data). Comfort operating across multiple markets and currencies simultaneously; prior exposure to APAC or ANZ paid media specifically is a strong plus. Analytical fluency: able to read a performance dashboard and turn it into a budget or bidding decision without hand-holding. Experience working within a regulated advertising environment (financial promotions rules, regional ad standards bodies) is a plus; willingness to learn the company's compliance doctrine is a requirement. Fluent written and verbal English ; additional Asia-region language skills (Mandarin, Vietnamese, Bahasa) are a plus but not required.

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

Location: 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: Yerevan, Armenia Problem Space Logistics operations today are still largely: manual reactive fragmented across tools running on incomplete or late data full of conflicting constraints under real-time decision pressure driven by evolving business rules a mix of legacy and new systems Much of this is unstructured: emails, documents, free-text updates, exceptions nobody modelled. That is where AI changes the game. We’re building a system that: ingests real-time operational data, structured and unstructured supports planning and execution decisions, with AI agents that act where it’s safe and hand over to humans where it isn’t adapts to constantly changing constraints What You’ll Work On AI in production. Building LLM- and agent-powered features into production .NET services: tool calling, structured outputs, retrieval over operational data, document and message understanding. The seams. Designing the boundaries between deterministic business logic and probabilistic AI: validation, fallbacks, human-in-the-loop. Trust. Making AI measurable and trustworthy: evals, test sets, observability, guardrails and cost/latency budgets. Ownership. Owning features end to end, from problem framing with product to running them in production. Design Principles keep things simple before scalable prefer explicit logic over magic abstractions, and that includes AI: deterministic where you can, model where you must optimize for change, not perfection (models, prompts and providers will change) measure AI behaviour, don’t trust vibes avoid “framework-driven architecture” accept that some parts will be ugly, temporarily Tech Stack .NET · Vue.js · service-oriented architecture · relational + operational data storage · cloud-based infrastructure · LLM APIs and agent tooling (e.g. Semantic Kernel / Microsoft.Extensions.AI, MCP) · vector/semantic search · eval and tracing tools How We Build AI-native development is the default. You use coding agents (e.g. Claude Code, Copilot) every day. You own what you ship, whoever typed it: you review AI-generated code critically, test it and understand it. What We Expect Strong, senior-level .NET engineering Ability to navigate uncertainty and work in ambiguity Willingness to challenge decisions Focus on outcomes, not just code Understanding of trade-offs and complex systems, including when not to use AI Preferring ownership over comfort Strong Plus Having shipped LLM/AI features to production and kept them running Experience with evals, prompt/version management or AI observability Python for prototyping and data work Logistics or other real-time operations domain experience What You Won’t Find Here over-engineering everything upfront unnecessary microservices “clean architecture” for the sake of it process-heavy development AI demos that never reach production wrapping a chatbot around a problem and calling it solved

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: New York Workplace: remote ⚡️ About Merkle Science 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 are we looking for?    Education and Experience: Bachelor’s degree in Finance, Accounting, or a related field; MBA or CPA preferred. Minimum of 7 years of progressive experience in finance, with at least 3 years in a leadership role. Proven experience in the technology or blockchain industry is highly desirable.   Skills and Competencies: Strong knowledge of financial management, accounting principles, and financial regulations. Excellent analytical and problem-solving skills with a strategic mindset. Proficiency in financial software and tools, such as ERP systems, Excel, and financial modeling. Exceptional leadership and team management abilities. Strong communication and presentation skills, with the ability to convey complex financial information clearly. ❤️ 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. 💥 What will you do? The Director of Finance at Merkle Science will be responsible for overseeing all financial operations, ensuring financial stability, and supporting strategic decision-making. This role involves managing the finance team, driving financial planning and analysis, and ensuring compliance with financial regulations. The ideal candidate will have a strong background in finance, excellent leadership skills, and a deep understanding of the technology and blockchain industry.   Responsibilities:  Financial Management: Oversee all financial operations and direct corporate financial planning and structure. Manage the preparation of financial reports, budgets, forecasts, and regulatory requirements. Ensure the accuracy and integrity of financial information and reporting. Develop and implement financial strategies to support the company's growth and profitability. Budgeting and Forecasting: Lead the budgeting process and quarterly forecasting updates. Monitor and analyze budget performance and implement corrective actions as necessary. Provide detailed financial analysis and modeling to support strategic initiatives.   Compliance and Strategic Planning: Ensure compliance with local, state, and federal financial regulations and standards. Develop and maintain policies and procedures to ensure financial governance. Partner with the executive team to develop and execute long-term financial strategies. Provide financial insights and recommendations to inform business decisions and strategies. Team Leadership and Stakeholder Communication Lead and mentor the finance team, fostering a culture of high performance and continuous improvement. Provide ongoing training and development opportunities for finance staff. Manage relationships with external auditors, investors, and financial institutions. Present financial reports and insights to the executive team, board of directors, and investors. Communicate financial performance and strategy to internal and external stakeholders.

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 Most subscription businesses lose a password. We lose GPU-seconds. When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job. You are the person who finds them, proves it, and puts a number on it. You make sure: - Every enforcement action we take is backed by evidence a stranger could follow - We know what abuse cost us last month, on the same basis as last month - The detection system is measured against real cases, not against its own past decisions - When a ring changes shape, somebody notices this week — and that somebody is you WHAT YOU WILL DO Investigation & casework - Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action. - Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence. - Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger. - Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has. Evidence & defensibility - Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts. - Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence. - Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action. Quantification & reporting - Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down. - Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them. - Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day. Monitoring & adaptation - Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week. - Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again. - Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit. How we work - SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax. - Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts). WHO WE'RE LOOKING FOR - 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract. - Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role. - Python at working level for analysis — pandas, notebooks, a bit of graph work. - Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence. - Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable." - Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting - Trust & safety investigators and platform-integrity analysts - Chargeback, dispute or AML analysts who write their own queries - Strong product or BI analysts who got handed the abuse problem and kept it WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build models full time — that is the Antifraud data scientist, and it is open - Want to do content moderation or NSFW classification - Would put an account on a ban list without being able to say why in one sentence - Treat every negative-margin account as an abuser - Need a labelled dataset or a clean table before you can start - Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly - 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

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