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Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Commercial Finance team, reporting to the VP Commercial Finance. You’ll work closely with senior operational and commercial leaders across the organisation as a dedicated financial co-pilot to evaluate growth opportunities, manage capital deployment, and guide strategic decision-making. Together, the team will design financial frameworks, process analytics, and robust commercial models that directly drive our competitive advantage and long-term performance. Commercial Finance sits within our Enablement function, providing the expertise, structure and challenge that help loveholidays operate at its best. Through clear frameworks, trusted partnerships and practical guidance, we support better decisions, manage risk and create strong foundations for sustainable growth. Your day-to-day: - Act as a trusted financial co-pilot to leadership teams, providing insightful analysis, commercial evaluation, and constructive challenge to drive optimal business outcomes. - Understand and translate performance drivers, connecting operational metrics with trading performance to deliver actionable insights and commercial recommendations. - Build influential relationships across business functions, embedding yourself to become the go-to expert for financial matters, deal structuring, and strategic negotiations. - Develop and own robust financial frameworks for major investment initiatives, managing the process from initial financial due diligence and business case preparation through to post-investment review. - Evaluate risk and build business cases, collaborating with cross-functional teams to structure commercial arrangements and present recommendations to executive leadership. - Establish tracking and performance reporting to monitor capital deployment against budget, evaluate deal performance, and measure overall strategy effectiveness. Your skillset: - Qualified Accountant (ACA, ACCA, CIMA or equivalent) with post-qualification experience in commercial finance or FP&A. - Demonstrable success in a commercial finance business partnering or FP&A role, ideally within a fast-paced, high-growth environment. - Experience working with high volumes of complex data with the aptitude to distil granular detail and convey simple, clear insights to stakeholders. - Comfortable with ambiguity and thrives on the challenge of building out new processes and capabilities in a 'greenfield' setting. - Clear understanding of key profitability levers, commercial deal structures, and financial governance. - Exceptional communication skills with a proven ability to influence, support, and constructively challenge senior non-finance leaders. The interview journey: 1. Intro with a member of the Talent Acquisition team - 30 mins 2. 1st stage with Hiring Manager - 45 mins 3. Final stage with key stakeholder/s including a task to present, in office - 1 hour Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Remote Workplace: Remote About Eneba At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT YOUR TEAM Our Customer Support operation is scaling and becoming more automated. As our first dedicated Customer Support Data Analytics Engineer, you’ll sit in Operations and work hand in hand with the Customer Support team, the Head of Operations, Product, Engineering, Payments and Risk. You’ll explain why customers contact us, measure what self-service and automation actually resolve, and help the team decide what to fix first based on evidence. You’ll work with Databricks (SQL), Kustomer, QuickSight, Mixpanel, Jira and Slack, on top of an internal data layer with Claude integrated. Current focus: AI and automation in support, and building and optimising our support metric stack. RESPONSIBILITIES - Reusable data models: Build and maintain dbt models on Databricks across bronze, silver and gold layers, with tests, column documentation and incremental logic, so the next person can build on them. - Data mapping and feasibility: Know what data we have, what is missing and how it connects. Join sources that were never designed to be joined, audit contact tagging so reporting stays reliable, and judge early whether a requested metric is buildable. If it isn’t, say exactly which data is missing and what it would take to get it. - Metric design: Turn vague requests from the Customer Support team into exact metric definitions, such as repeat contact, automated deflection rate and cost per contact, and prove each one against raw data before it ships. - Dashboards and reporting: Build dashboards end to end in QuickSight and Omni (datasets, calculated fields, filters). Deliver weekly support performance packs with actionable insights and thresholds for ops managers and leadership. - Daily operations pulse: Monitor volumes, backlog, SLAs and CSAT to flag spikes early. Investigate “this number looks wrong” cases by tracing a visual back through the model to the source table. - Contact-driver and feedback analysis: Identify why customers contact us by product, spot growing issues, and analyse QA and customer feedback to surface coaching themes and process gaps. - Automation and self-service: Measure how well AI, bots and help content resolve issues, including repeat contacts and CSAT. - Root-cause partnership: Partner with Product, Payments and Risk to quantify the impact of issues and track fixes. - Planning input: Help forecast contact volume and capacity needs. REQUIREMENTS - 3+ years of experience as a Data Analytics Engineer in Customer Support, contact-centre or CX environments. - Strong SQL, dbt and hands-on experience with BI and reporting tools (we use QuickSight; Power BI, Looker or similar is fine). - Solid knowledge of customer support metrics and contact-driver analysis: CSAT, FCR, handling time, repeat contact, deflection. - Ability to turn insights into operational changes with non-technical stakeholders. - Curiosity about why customers get in touch and what would stop the issue from happening again. You care more about changing outcomes than producing dashboards. - Good written and spoken English (proficiency preferred). NICE TO HAVE - Python or text analytics on ticket data. - Experience with a support CRM’s data - Forecasting experience. - Experience evaluating chatbots or AI agents. - Background in digital goods or gaming. What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product. *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.   *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice #LI-DNP

Location: Boston, Massachusetts, United States; Massachusetts We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We're looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come. Passionate about retail? Seeking a flexible, part-time opportunity? Join Hasbro's team of Retail Merchandisers and help drive sales of our exciting Toys and Games! We're looking for motivated individuals to create an outstanding in-store experience, engage with shoppers and store staff, and showcase the magic of Hasbro brands. As a part-time Retail Merchandiser, you will be responsible for providing timely and effective retail merchandising and shelf management services across all Hasbro product categories in assigned retail stores. You will ensure that store shelves and feature locations are properly stocked and aligned with Hasbro's planograms and monthly priorities. By maintaining a high standard of merchandising, you will help increase product visibility, promote sales, and develop strong business relationships with retail account management teams. This position is part-time, 10-20 hours/week, and will cover retail stores in the Framingham, MA area. A day in the life of a Retail Merchandiser: Merchandising Execution : Merchandise all Hasbro product categories in alignment with the plans and objectives set by the Supervisor. Ensure that product displays meet Hasbro's high-quality standards. Stockroom to Sales Floor : Physically move product from the backroom/stockroom to store shelves to ensure that products are fully stocked and readily available for customers. Ensure that all Hasbro brands are set to plan-o-gram and shelf labels are in place with correct account pricing. Monthly Features Execution : Set up all required monthly product features in assigned stores to enhance product visibility and sales. Merchandising Opportunities & Communication : Regularly engage with store managers to identify and discuss opportunities for driving sales through incremental out-of-aisle product placements and expanding shelf space for Hasbro products. Survey Completion & Feedback : Complete all required store surveys, providing timely feedback regarding store conditions, product placement, and any merchandising challenges or successes. In Store Photos : Capture and submit high-quality images of all priority product placements, incremental displays, and competitive set-ups. Training & Mentorship : Assist in the training of newly hired merchandisers, helping to ensure they are fully equipped to represent Hasbro's merchandising standards. Qualifications : Available to work daytime, weekday hours and occasional weekends based on demands of the business. Must be at least 18 years old. Previous experience in retail merchandising or related fields is preferred but not required. Ability to lift 40 lbs., climb ladders, stand, bend, and engage in physical activity as needed to ensure products are properly merchandised. Strong verbal and written communication skills. Ability to prioritize tasks and manage time effectively. Tech savvy (iPad/tablet/smartphone/Microsoft Office). Must have reliable high-speed internet connection and a personal computer (laptop or desktop) compatible with Microsoft Office/0365 and a smartphone. Must have a valid driver's license, reliable transportation, proof of car insurance and a good driving record. Must live within the parameters of the assigned territory. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $17.25 — $27 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: United States; Bulgaria; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Every model we train runs on infrastructure this role owns. We operate NVIDIA GPU clusters across bare metal and rented capacity, and we're looking for an engineer to join our small research infrastructure team and make that compute fast, reliable, and boring - in the best sense. When the clusters just work, research moves faster. Your impact is measured directly in training throughput and researcher velocity. This is a builder-operator role with real breadth: one week you're writing automation that eliminates a whole class of manual work, the next you're benchmarking a new provider's InfiniBand fabric or on-site bringing new hardware online. You'll have unusual scope and autonomy - we're a lean team where decisions are made by the people closest to the problem. WHAT YOU’LL BE DOING - Operate and improve our GPU fleet end to end: provisioning, scheduling, monitoring, upgrades, capacity planning - Build automation that keeps the fleet healthy without human intervention — node health checks, automated draining and remediation, burn-in pipelines for new capacity - Own the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL, high-speed networking (InfiniBand/RoCE) - Run and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast - Build and maintain high-performance storage for datasets and checkpoints - Hunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs — and fix the class of problem, not just the instance - Evaluate rented GPU capacity: benchmark it, validate it, hold providers to their SLAs - Hands-on hardware work when it's needed: racking, cabling, diagnostics, coordinating with datacenter staff and vendors - Keep clusters secure by default: access control, network isolation, secrets REQUIREMENTS - Have run large-scale Linux server or GPU environments in production and enjoy both building and operating - Know the NVIDIA stack well — drivers, CUDA, NCCL, DCGM — or have deep systems experience and learn hardware stacks fast - Are comfortable with bare-metal environments, server hardware, and high-speed networking - Write solid automation in Python and/or Bash, with IaC tools like Ansible or Terraform - Are happy digging into noisy data (metrics, logs, PromQL) to find what's actually wrong - Like owning real scope end to end and being the person others rely on - Don't consider any task above or beneath you — datacenter trips included NICE TO HAVE - Experience supporting ML training workloads from the infra side (distributed training failure modes, checkpointing patterns) - Experience evaluating and working with GPU cloud providers - Parallel filesystems (WEKA, VAST, etc) or large-scale object storage - BMC/IPMI/Redfish automation, PXE provisioning at scale - Power and cooling awareness for dense GPU deployments LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: CAN: Vancouver (333 Seymour St); CAN: Toronto (111 Richmond Street West) Workplace: Hybrid ABOUT THE ROLE For a small business, getting paid isn’t an abstract technical problem. It affects whether they can pay their people, buy supplies and take on their next opportunity. We connect money movement with financial context to help small businesses manage cash flow with greater confidence. Payments is one of Xero’s biggest areas of investment and growth. As a Lead Engineer on Payments Platform, you’ll join early-stage initiatives and make foundational architectural decisions for capabilities that power money movement across Xero and enable new product lines globally. Your work can span shared platform capabilities and customer-facing payment products, including global bill payments. You’ll stay hands-on in production code and proofs of concept while setting the technical direction other engineers and teams build on. It’s an opportunity to shape both the technology and the engineering practices of a growing team, with a direct connection to the problems small businesses face every day THE TECHNICAL CHALLENGES - A shared payments platform: Build orchestration, risk and fraud, and multi-provider capabilities that work across products and markets, helping teams launch new payment products faster without rebuilding the same foundations. - Global bill payments: Make a complex financial process feel simple for small businesses while keeping it accurate, secure and connected to the accounting record. - High throughput at scale: Design reliable, secure distributed services that remain dependable under real-world production constraints. - Customer impact alongside architectural progress: Selectively rebuild and enhance existing systems, delivering value quickly while moving toward a coherent long-term architecture. - AI capabilities customers can trust: Apply AI to challenging product problems while protecting customer trust, and bring the same discipline to how we evaluate and operate those capabilities. IMPACT - First 6 months: You understand the payments platform, its consumers and the customer problems it enables teams to solve. You’ve shipped production code and aligned the team on the architecture and roadmap for at least one core capability, such as onboarding, orchestration, risk and fraud, or multi-provider support. Through mentorship, technical reviews and practical improvements, you’ve helped elevate the team’s engineering capability. - First 12 months: Your architectural decisions are operating in production and helping new payment products launch faster. You’ve helped establish engineering standards and clear ownership for the Vancouver Payments team, and your work is reaching small businesses through faster, safer ways to pay and get paid. OWNERSHIP You’ll own the technical direction for your area of the payments platform, from design and proof of concept through production and on-call. You’ll lead architecture, API design and technology decisions for that area, with end-to-end accountability for reliability, security and operational excellence. You’ll work closely with engineering and cross-functional partners to make trade-offs explicit and turn direction into delivery. Your impact will come from both your own technical contributions and the capability you build in others. Because both the initiative and the Vancouver team are early in their development, you’ll also help shape engineering practices, quality standards and AI-assisted ways of working that make the team more effective over time. WHO YOU'LL WORK WITH - Lili Kan https://www.linkedin.com/in/lilixkan/, GM/VP, Payments Platform Engineering. Lili brings extensive experience building platforms and leading engineering teams in Silicon Valley. She previously led Payment Intelligence engineering at Stripe, building systems that protect payments from fraud. Before that, she spent four years at Uber, working across platform services, systems for operating self-driving fleets, and Driver Safety & Insurance Engineering. - Jing Feng https://www.linkedin.com/in/jingff, Head of Engineering, Payments Platform. Jing brings engineering leadership experience from Uber, Apple, LinkedIn and Yahoo. Most recently, she led Risk Product Engineering at Uber, building capabilities to detect and prevent fraud and risk. WHAT YOU BRING Must-have: - A proven track record of delivering highly available distributed backend systems and high-throughput services under real-world production constraints, with strong operational practices. - Experience building platforms or products from an early idea into production, then evolving them as adoption and complexity grow. - Deep understanding of system architecture, API design, and relational and non-relational databases, including the trade-offs between different approaches. - Proficiency in a modern backend stack, such as C#, Java, Go or C++, and experience with cloud-native platforms such as AWS. - Strong technical leadership: setting direction, mentoring engineers, fostering an inclusive culture and breaking complex problems into clear, actionable plans that lead to delivery. - A hands-on approach to production code, proofs of concept and technical deep dives, alongside advanced use of AI tools to improve development workflows, with appropriate judgment and validation. Nice to have: - Experience in payments, fintech or money movement, such as payment orchestration, risk and fraud, or multi-provider integrations. Experience from adjacent domains with demanding reliability, security or correctness requirements is valuable too. - Experience selectively rebuilding or modernizing established systems while continuing to deliver value to customers. - A strong track record of partnering with Product, Design and other cross-functional teams to turn complex business needs into resilient engineering solutions. HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is $186,000 - $236,000 CAD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: US: San Mateo (1875 South Grant Street); US: Washington Remote Worker Workplace: Hybrid ABOUT THE ROLE For a small business, getting paid isn’t an abstract technical problem. It affects whether they can pay their people, buy supplies and take on their next opportunity. We connect money movement with financial context to help small businesses manage cash flow with greater confidence. Payments is one of Xero’s biggest areas of investment and growth. As a Lead Engineer on Payments Platform, you’ll join early-stage initiatives and make foundational architectural decisions for capabilities that power money movement across Xero and enable new product lines globally. Your work can span shared platform capabilities and customer-facing payment products, including global bill payments. You’ll stay hands-on in production code and proofs of concept while setting the technical direction other engineers and teams build on. It’s an opportunity to shape both the technology and the engineering practices of a growing team, with a direct connection to the problems small businesses face every day THE TECHNICAL CHALLENGES - A shared payments platform: Build orchestration, risk and fraud, and multi-provider capabilities that work across products and markets, helping teams launch new payment products faster without rebuilding the same foundations. - Global bill payments: Make a complex financial process feel simple for small businesses while keeping it accurate, secure and connected to the accounting record. - High throughput at scale: Design reliable, secure distributed services that remain dependable under real-world production constraints. - Customer impact alongside architectural progress: Selectively rebuild and enhance existing systems, delivering value quickly while moving toward a coherent long-term architecture. - AI capabilities customers can trust: Apply AI to challenging product problems while protecting customer trust, and bring the same discipline to how we evaluate and operate those capabilities. IMPACT - First 6 months: You understand the payments platform, its consumers and the customer problems it enables teams to solve. You’ve shipped production code and aligned the team on the architecture and roadmap for at least one core capability, such as onboarding, orchestration, risk and fraud, or multi-provider support. Through mentorship, technical reviews and practical improvements, you’ve helped elevate the team’s engineering capability. - First 12 months: Your architectural decisions are operating in production and helping new payment products launch faster. You’ve helped establish engineering standards and clear ownership for the Vancouver Payments team, and your work is reaching small businesses through faster, safer ways to pay and get paid. OWNERSHIP You’ll own the technical direction for your area of the payments platform, from design and proof of concept through production and on-call. You’ll lead architecture, API design and technology decisions for that area, with end-to-end accountability for reliability, security and operational excellence. You’ll work closely with engineering and cross-functional partners to make trade-offs explicit and turn direction into delivery. Your impact will come from both your own technical contributions and the capability you build in others. Because both the initiative and the Vancouver team are early in their development, you’ll also help shape engineering practices, quality standards and AI-assisted ways of working that make the team more effective over time. WHO YOU'LL WORK WITH - Lili Kan https://www.linkedin.com/in/lilixkan/, GM/VP, Payments Platform Engineering. Lili brings extensive experience building platforms and leading engineering teams in Silicon Valley. She previously led Payment Intelligence engineering at Stripe, building systems that protect payments from fraud. Before that, she spent four years at Uber, working across platform services, systems for operating self-driving fleets, and Driver Safety & Insurance Engineering. - Jing Feng https://www.linkedin.com/in/jingff, Head of Engineering, Payments Platform. Jing brings engineering leadership experience from Uber, Apple, LinkedIn and Yahoo. Most recently, she led Risk Product Engineering at Uber, building capabilities to detect and prevent fraud and risk. WHAT YOU BRING Must-have: - A proven track record of delivering highly available distributed backend systems and high-throughput services under real-world production constraints, with strong operational practices. - Experience building platforms or products from an early idea into production, then evolving them as adoption and complexity grow. - Deep understanding of system architecture, API design, and relational and non-relational databases, including the trade-offs between different approaches. - Proficiency in a modern backend stack, such as C#, Java, Go or C++, and experience with cloud-native platforms such as AWS. - Strong technical leadership: setting direction, mentoring engineers, fostering an inclusive culture and breaking complex problems into clear, actionable plans that lead to delivery. - A hands-on approach to production code, proofs of concept and technical deep dives, alongside advanced use of AI tools to improve development workflows, with appropriate judgment and validation. Nice to have: - Experience in payments, fintech or money movement, such as payment orchestration, risk and fraud, or multi-provider integrations. Experience from adjacent domains with demanding reliability, security or correctness requirements is valuable too. - Experience selectively rebuilding or modernizing established systems while continuing to deliver value to customers. - A strong track record of partnering with Product, Design and other cross-functional teams to turn complex business needs into resilient engineering solutions. HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles.   COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheque. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - Washington, WA & San Mateo, CA: $206,000 - $260,000 USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Paris, France; Bordeaux, France; Lyon, France; Marseille, France; Biarritz, France; Nantes, France; Annecy, France HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. Disclaimer: We're open to hire Account Executives across our Paris, Bordeaux, Marseille, Lyon, Annecy, Nantes and Biarritz offices. ⭐️ THE ACCOUNT EXECUTIVE (MID-MARKET) JOB We’re expanding our Sales team in France and are looking for ‘full-stack’ Sales to engage with prospects and turn them into happy Alan customers. You will join a team that focuses on companies from one of the following segments: Tech & Engineering, Business Services & Media, Retail, Transport, HCR, Learn & Care, Food & Beverage or Metallurgy. You will interact with everyone from HR executives to CEOs. Meet Hakim in this article https://www.linkedin.com/pulse/l%C3%A9quipe-de-ventes-industrie-dalan-%C3%A0-la-rencontre-dhakim-hakim-essabar-jbrwf/?trackingId=972lxAWxToe2FJjh4mpF6Q%3D%3D to learn more about makes the Metallurgy segment so interesting for an Account Executive. Why is our Vertical approach interesting? - Market potential: Vast and dynamic markets with significant structural challenges, offering fertile ground for a modern, tech-driven solution like Alan. - Team readiness: We've honed our go-to-market strategy over the years, and it's paying off with increasing inbound leads and active field marketing driving strong pipeline momentum. - Passionate teams: Our dedicated teams brings deep sector expertise and genuine passion for the clients we serve; every day in the field sharpens our edge and fuels our conviction. - Growth opportunity: The addressable market is enormous, offering virtually unlimited opportunities for growth. What will you do with us? You’ll own the entire sales cycle, from prospecting to closing. The average sales cycle is 4-6 months, dealing with companies ranging from 30 to 300 employees, with an average ARR of 150K€. At Alan, Account Executives drive deals and close strategic opportunities with prospects. We sometimes handle some customer relationships to ensure the best possible onboarding. You’ll educate prospects, provide inspiring product demos, and onboard key stakeholders, making the transition from prospect to customer seamless. We expect you to understand and apply the Alan Smart & Soft selling method https://alan.com/fr-fr/blog/tout-alan/a/nos-commerciaux-ne-vendent-pas. This method ensures the prospect experience is an integral part of the overall Alan customer experience—making it pleasant and delightful for everyone. We expect you to be instructive to prospects (Smart), as well as to define the best personalized high-touch strategy that suits best each prospect (Soft). You’ll also help us grow and improve as a company, challenging us to enhance our product(s), methods, and strategy, and getting involved in initiatives to expand our customer base. Meet Fanny Cibot https://www.linkedin.com/in/fanny-c-81b89b82/ who is Account Executive within the Business Services & Media Crew. ⭐ IS IT YOU WE’RE LOOKING FOR? You’ll be a great fit for the Metallurgy Team at Alan if you: - Have at least 4 years of experience managing the whole Sales cycle, from prospecting to closing. Prospection is a key part of the role; - Have full working proficiency in French (C2 and above) and an advanced level in English. - Are highly organized with exceptional follow-up skills; - Have empathy and are passionate about understanding and solving prospects' problems; - Can influence through persuasion, negotiation, and consensus-building; - Have a deep understanding of value drivers in recurring revenue business models; - Have a great attitude and ability to collaborate in a small team; - Are eager to learn fast and make an impact from day 1; - Are based in (or willing to relocate to) Paris, Bordeaux, Marseille, Lyon, Annecy, Nantes or Biarritz. For this opportunity, we are aiming to hire within the C0-D level range https://alan.com/en/careers/a/salary-equity. If you're still wondering whether this could be the best move for you, take a look at this article https://www.linkedin.com/pulse/sept-ans-chez-alan-pourquoi-je-nai-jamais-%25C3%25A9t%25C3%25A9-aussi-lucie-leflour-gwpce/ from Lucie Leflour, our Sales Lead in France. EVERYTHING ELSE IS A PLUS. WE CARE ABOUT HAVING A DIVERSITY OF EXPERIENCES, PROFILES AND BACKGROUNDS IN OUR TEAM. 🙌   PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible office with hybrid setup. Amazing office space at our Paris HQ or sponsored co-working hubs in Bordeaux, Marseille, Lyon, Annecy, Nantes or Biarritz. - All the tools you need. Top of the range equipment: Macbook Air, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Generous transit benefit - Learning & Training opportunities. A highly flexible training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. #LI-DNP

Location: Paris, France; Bordeaux, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. Disclaimer: We're open to hire Account Executives across our Paris, Bordeaux, Marseille, Lyon, Annecy, Nantes and Biarritz offices. ⭐️ THE ACCOUNT EXECUTIVE (MID-MARKET) JOB We’re expanding our Sales team in France and are looking for ‘full-stack’ Sales to engage with prospects and turn them into happy Alan customers. You will join a team that focuses on companies from one of the following segments: Tech & Engineering, Business Services & Media, Retail, Transport, HCR, Learn & Care, Food & Beverage or Metallurgy. You will interact with everyone from HR executives to CEOs. Meet Hakim in this article https://www.linkedin.com/pulse/l%C3%A9quipe-de-ventes-industrie-dalan-%C3%A0-la-rencontre-dhakim-hakim-essabar-jbrwf/?trackingId=972lxAWxToe2FJjh4mpF6Q%3D%3D to learn more about makes the Metallurgy segment so interesting for an Account Executive. Why is our Vertical approach interesting? - Market potential: Vast and dynamic markets with significant structural challenges, offering fertile ground for a modern, tech-driven solution like Alan. - Team readiness: We've honed our go-to-market strategy over the years, and it's paying off with increasing inbound leads and active field marketing driving strong pipeline momentum. - Passionate teams: Our dedicated teams brings deep sector expertise and genuine passion for the clients we serve; every day in the field sharpens our edge and fuels our conviction. - Growth opportunity: The addressable market is enormous, offering virtually unlimited opportunities for growth. What will you do with us? You’ll own the entire sales cycle, from prospecting to closing. The average sales cycle is 4-6 months, dealing with companies ranging from 30 to 300 employees, with an average ARR of 150K€. At Alan, Account Executives drive deals and close strategic opportunities with prospects. We sometimes handle some customer relationships to ensure the best possible onboarding. You’ll educate prospects, provide inspiring product demos, and onboard key stakeholders, making the transition from prospect to customer seamless. We expect you to understand and apply the Alan Smart & Soft selling method https://alan.com/fr-fr/blog/tout-alan/a/nos-commerciaux-ne-vendent-pas. This method ensures the prospect experience is an integral part of the overall Alan customer experience—making it pleasant and delightful for everyone. We expect you to be instructive to prospects (Smart), as well as to define the best personalized high-touch strategy that suits best each prospect (Soft). You’ll also help us grow and improve as a company, challenging us to enhance our product(s), methods, and strategy, and getting involved in initiatives to expand our customer base. Meet Fanny Cibot https://www.linkedin.com/in/fanny-c-81b89b82/ who is Account Executive within the Business Services & Media Crew. ⭐ IS IT YOU WE’RE LOOKING FOR? You’ll be a great fit for the Metallurgy Team at Alan if you: - Have at least 4 years of experience managing the whole Sales cycle, from prospecting to closing. Prospection is a key part of the role; - Have full working proficiency in French (C2 and above) and an advanced level in English. - Are highly organized with exceptional follow-up skills; - Have empathy and are passionate about understanding and solving prospects' problems; - Can influence through persuasion, negotiation, and consensus-building; - Have a deep understanding of value drivers in recurring revenue business models; - Have a great attitude and ability to collaborate in a small team; - Are eager to learn fast and make an impact from day 1; - Are based in (or willing to relocate to) Paris, Bordeaux, Marseille, Lyon, Annecy, Nantes or Biarritz. For this opportunity, we are aiming to hire within the C0-D level range https://alan.com/en/careers/a/salary-equity. If you're still wondering whether this could be the best move for you, take a look at this article https://www.linkedin.com/pulse/sept-ans-chez-alan-pourquoi-je-nai-jamais-%25C3%25A9t%25C3%25A9-aussi-lucie-leflour-gwpce/ from Lucie Leflour, our Sales Lead in France. EVERYTHING ELSE IS A PLUS. WE CARE ABOUT HAVING A DIVERSITY OF EXPERIENCES, PROFILES AND BACKGROUNDS IN OUR TEAM. 🙌   PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible office with hybrid setup. Amazing office space at our Paris HQ or sponsored co-working hubs in Bordeaux, Marseille, Lyon, Annecy, Nantes or Biarritz. - All the tools you need. Top of the range equipment: Macbook Air, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Generous transit benefit - Learning & Training opportunities. A highly flexible training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: Dubai; London, England, United Kingdom 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. We are looking for a Senior Operations Manager - Planning to build how Capital.com plans the people and skills its operations need as we grow into new products and markets. You will own capacity planning across the organisation. That covers forecasting demand, such as new customer sign-ups and FinCrime alerts, over the next week, month and six months, and turning it into clear staffing needs. You’ll use AI and automation to build and run the department’s main planning model, and you’ll advise leaders on hiring, redeployment, process improvements and automation early enough for them to act. You’ll work closely with operational leaders and Finance, and manage a Workforce Management specialists. Responsibilities: Own the capacity planning model, roadmap and KPIs. Forecast demand over the next week, month and six months. Separate customer activity, product changes, seasonality and backlogs, and agree assumptions with the teams closest to each source of demand. Translate demand into capacity needs using workload, handling time and productivity. Account for skills, hours, absence, attrition, training and ramp-up. Build scenarios for growth, launches and disruption, and show the cost and service impact. Recommend hiring, redeployment, process and automation actions early enough to cover recruitment and training lead times. Align definitions and data with Finance and operational teams, track forecast vs. actual, and improve the models. Flag capacity risks early, including skill and time-zone gaps, and keep reporting clear enough for managers to act on. Requirements: 5+ years in capacity planning, workforce management or operations planning in a high-volume environment. Hands-on experience building forecasting and capacity models yourself, including seasonality. Strong grasp of capacity drivers, scenario planning and sensitivity analysis. Record of recommendations that changed hiring or process decisions. Experience working with Finance and tracking forecast accuracy over time. Advanced spreadsheet skills, SQL or similar, and experience managing direct reports. Nice to have: Financial services, fintech or payments background. Planning for Customer Support, KYC or FinCrime operations. Using AI, Python or statistical methods in forecasting.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is looking for a Demand Planner to join our Global Operations organization, reporting to the Sr. Manager of Demand & Supply. In this role, you will own demand planning across key products, channels, customers, and regions, translating commercial strategy, historical performance, and market signals into an actionable demand plan that enables effective inventory and supply decisions. You will serve as a critical cross-functional partner to Sales, Growth, Finance, Operations, and Supply Planning, driving alignment around the forecast, identifying risks and opportunities, and using scenario analysis to help WHOOP make informed decisions in a fast-moving and evolving environment. RESPONSIBILITIES: - Own the end-to-end demand plan for assigned products, channels, customers, and/or regions across short-, medium-, and long-range planning horizons, translating commercial strategies and business drivers into detailed forecasts. - Partner with Sales, Wholesale, Growth, and DTC teams to incorporate retailer forecasts, sell-through trends, inventory positions, traffic, conversion, promotional activity, geographic expansion, product launches, and other demand drivers into the forecast. - Own forecast accuracy and bias performance for assigned areas, identify root causes of forecast misses, and drive actions to continuously improve forecast quality, planning processes, methodologies, and system capabilities. - Develop scenarios that quantify the impact of changes in demand, launch timing, promotions, assortment, channel strategy, and other key business decisions, translating findings into clear recommendations for Planning and business leadership. - Partner closely with Supply Planning to translate demand changes into supply requirements and understand resulting inventory, capacity, service, and timing implications while proactively identifying and communicating material risks and opportunities. - Lead the demand planning portion of the S&OP / integrated planning cycle for assigned areas and serve as a subject matter expert for cross-functional initiatives, including the implementation and adoption of external planning systems. QUALIFICATIONS: - Bachelor’s degree or equivalent practical experience in Supply Chain, Operations, Business, Finance, Analytics, or a related field. - 3-5 years of progressive experience in demand planning, merchandise planning, inventory planning, supply chain planning, or a related analytical function. - Strong understanding of demand planning concepts including forecast accuracy, bias, seasonality, promotional impacts, new product forecasting, and scenario planning, with experience independently managing forecasts at a detailed SKU, channel, customer, and/or regional level. - Strong analytical and problem-solving skills, with the ability to work through large or imperfect datasets and translate complex analyses into actionable business recommendations. - Strong commercial judgment and demonstrated ability to connect business strategy with demand, inventory, and operational implications. - Proven ability to influence, communicate clearly, and drive alignment across cross-functional stakeholders without direct authority. - Advanced Excel and/or Google Sheets skills; experience with BI tools and planning platforms such as o9, Anaplan, Blue Yonder, Kinaxis, or similar systems is beneficial. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $90,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Sibiu, Romania; Targu Mures, Romania; Brasov, Romania Workplace: hybrid WELCOME TO OLX We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe , smart , and environmentally responsible . We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. In Romania, there are 180+ people working for OLX.ro , Storia.ro , and Autovit.ro —both from home and our cozy office in the center of Bucharest. Autovit.ro is the market leader of the auto classifieds industry, connecting drivers to the cars that will take them where they need and want to be. As a Key Account Manager for Autovit.ro you will be at the forefront of the number 1 Car Sales platform in Romania, empowering our users and prospects with the best solutions to reach their clients, at OLX Group Romania. Join OLX and see how far you can go. What responsibilities will you get when working with us? Cover the central area of Romania, focused on Sibiu, Mures, Brasov, Covasna and Harghita counties; Continuously focusing on growing and nurturing relationships with existing and potential customers across your territory, advising them on how to grow their businesses with the help of our services; Applying a consultative approach to understand customer requirements and translate them into effective solutions that drive results for their business; Identifying and engaging key decision-makers — including CEOs, entrepreneurs, and dealership owners — and building trust-based, long-lasting relationships with them; Answering questions about our products and service s, while providing support, data, and innovative ways for clients to reach their goals; Asking the right questions to deeply understand customer needs and confidently closing sales; Accurately taking and processing orders, and keeping customer information up to date in the CRM at all times; Maintaining detailed records of visits and calls , and building on that to generate more business; Meeting sales and operational targets . What will you need to be successful in this role? Proven experience in direct B2B sales ; auto industry experience will be a big plus, but is not mandatory; Strong stakeholder management capabilities — comfortable and confident speaking with high-level decision-makers on the client side, and able to build trust and tailor the message at the top; The ability to learn about products and services and clearly describe and explain them to prospects; Excellent communication, interpersonal, and negotiation skills, with the ability to resolve issues and address complaints; An upbeat, mature, accountable, growth-minded attitude — someone who stays cool-tempered under pressure and handles rejection with composure; CRM proficiency — solid working knowledge of how to use a CRM to manage your pipeline, track interactions, and keep customer data accurate and up to date; Good command of both written and spoken English . What can we offer you? The outstanding opportunity to be part of an international group, working for the market leader in auto classifieds; A competitive and complex compensation package — commissions, accelerator bonus, health insurance, and a flexible benefits plan; The possibility to work in a Hybrid mode; A dynamic and friendly environment where getting stuff done and enjoying the ride are far more important than rules and hierarchies; Continuous investment in your professional development, as well as the possibility to stay in contact with professionals from all over the world; Being able to make your own smart choices. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us! OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement .

Location: United States (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE As a Director, Paid Marketing, working on the Marketing & Communications team, you’ll be a strategic leader responsible for building and scaling a profitable paid subscriber acquisition program and related projects. Partnering closely with marketing, product, design, user insights, data science and finance teams, you will own KPI development, campaign strategy, budget and resource allocation, and performance measurement.   You'll lead strategic roadmapping, prioritize high-impact projects, resource cross-functional teams, and ensure marketing performance is measured with a high degree of confidence. The right person is excited to prove that paid marketing growth and privacy-respecting advertising practices aren’t at odds — they’re our edge. You know how to use aggregate measurement, experimentation, and strong judgment rather than user-level targeting and tracking.   Example projects include: - Leading the development of and alignment around a break-even model that defines a profitable CPA - Planning integrated campaigns and securing buy-in to drive profitable paid subscriber growth - Designing and executing rapid testing cycles to identify and scale successful tactics ABOUT YOU - 10+ years of professional experience, including 4+ years in a senior leadership role driving profitable app subscription growth (ideally 1M+ subscribers). - Deep strategic expertise with a strong hands-on understanding of marketing channels (e.g., app store ads, paid social, mobile app networks), integrated campaign planning and execution, performance measurement, audience alignment, and creative best practices. - Proven track record of launching paid app subscription acquisition programs from the ground up, including setting cost-per-subscription targets, developing media plans, establishing measurement frameworks, and shaping creative and messaging. - Experience working at a consumer-facing tech company with a meaningful US user base (ideally 10M+ MAUs) and multiple products. - Skill in developing others, not just directing them, with demonstrated improvements in collaboration, expertise, productivity, and business impact. - Ability to apply first-principles thinking to break down ambiguous growth opportunities, challenge assumptions, identify the key drivers, and turn them into focused, achievable initiatives. - Comfort working in resource-constrained orgs where opportunity cost and impact are key drivers for prioritization and resource allocation. - High capability in analytics and measurement, including app economics (payback, LTV), incrementality/lift testing, modeling, and data analysis. - Excellent communication skills — you can clearly articulate recommendations and rationale, verbally and in writing, at all organizational levels. - Willingness to use AI and build effective workflows, accelerating work through AI agents. COMPENSATION Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation, plus stock options: - United States: $263,300 USD - United Kingdom: £183,850 GBP - Canada: CA$346,250 CAD - All other regions*: €214,950 EUR   *Team members outside the US, UK and Canada are currently paid $243,800 USD. Pay converts to the EUR amount above on January 1, 2027 for Spanish team members, and approximately February 1, 2027 in all other regions.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!

Location: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 — $485,000 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: New York City, NY 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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 — $485,000 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: Limassol, Cyprus Freedom24 is a trusted online broker with expertise in the US, European, and Asian stock markets, registered in Cyprus, and offers a broad range of services in the financial markets. Freedom Team is a union of highly qualified professionals on the market, bursting with vibrant energy and pioneer ideas. All of us are goal-oriented with a strong belief in teamwork power built on the strength of each of us. We work in a fast-paced environment and within cross-functional teams. We are dedicated to achieving the best possible result, and no one thinks he doesn’t make a change. If you feel like you’re a good fit for us and we are a good fit for you, go ahead and check this position out. About the Role We are looking for a Head of Budget & Cost Control to lead our budgeting and cost control function. Reporting to the CFO, you will manage the company-wide budgeting process, track how budgets are spent and drive cost efficiency across the business. You will lead the budgeting and cost control team and give management accurate, timely financial insight. 1. Budget Planning & Management Implement and improve budgeting methods for operational, investment (CAPEX) and financial budgets in line with the company's financial policies. Prepare and consolidate the company-wide budget, including forecasts, scenario analysis and investment models. Run the full planning cycle: set tasks, define timelines and make sure deadlines are met. Develop, update and maintain internal policies and procedures for budgeting and cost control. 2. Budget Control Run monthly variance analysis (actual vs. plan), find the root causes and recommend specific actions. Monitor budget limits and escalate overspends. Support the automation and digitalization of budgeting and cost control processes using ERP and BI tools. 3. Cost Control & Optimization Carry out regular cost reviews and efficiency assessments for departments, projects and products. Identify and propose initiatives that improve efficiency and reduce operating costs. Implement cost-reduction initiatives and track and report the savings achieved. Monitor compliance with budget and financial policies and procedures. 4. Financial Analysis & Reporting Prepare management reports for senior management. Build financial models and assess the profitability of projects and capital investments. Provide analysis to support the company's long-term financial strategy. 5. Team Leadership Lead and develop the budgeting and cost control team. Mentor team members, assign responsibilities and evaluate performance. Requirements Must-have Degree in Economics, Finance, Accounting or a related field. More than 5 years of experience in budgeting, controlling, FP&A or financial management (an audit background is welcome); 2–3 years managing a team. Strong hands-on budgeting experience: operating budget, CAPEX/OPEX and cash flow. Solid management accounting and variance analysis skills. Strong financial modeling skills and advanced Excel. Experience with a major ERP system (e.g. SAP, Oracle or 1C), invoice management systems (e.g. SAP Concur, Coupa or Emburse) and a BI tool (Power BI or Tableau). Clear communicator, confident presenting to senior management. Highly organized, with strong attention to detail. Nice-to-have ACCA, CIMA or CPA (completed or in progress). Experience in financial services companies (e.g. investment firms, asset managers, banking, payments or fintech). Experience with 1C and SAP Concur specifically. Knowledge of ABC/ABM or driver-based budgeting. Knowledge of IFRS. Experience setting up budgeting processes from scratch. Benefits Work in a modern office in the center of Limassol with an open-minded and professional team; Relocation package, including reimbursement for flights and accommodation for 1 month; Visa sponsorship for the employee and their family members; The company covers 50% of the annual cost of the health plan, which the employee can choose with any insurance company; Company-provided life insurance; 21 working days of paid vacation; 12 additional days off per year, provided by the company; Paid sick leave; Team-building activities, corporate events, football and volleyball clubs, sports events, and challenges.

Location: Houston, United States EnerMech is a global provider of specialist engineering, technical and integrated services to the energy and infrastructure sectors. With operations across multiple international markets, we deliver innovative solutions that help our clients improve operational efficiency, safety and asset performance. Our services include mechanical, electrical and instrumentation solutions, lifting and inspection services, and specialist industrial services, including nitrogen and pressure testing operations. At EnerMech, we are committed to delivering operational excellence through our highly skilled workforce, strong safety culture and focus on quality. We offer opportunities to work on challenging projects alongside experienced professionals in a dynamic, safety-focused environment. Key Responsibilities Operate nitrogen pumping equipment safely and efficiently at various job sites. Set up, monitor and shut down nitrogen pumping units in accordance with operational procedures. Monitor pumping pressures, flow rates and equipment performance during operations. Conduct pre-operational and post-operational inspections of nitrogen pumping equipment. Perform routine maintenance and basic troubleshooting to ensure equipment reliability. Ensure compliance with all company HSE policies, client requirements and safety procedures. Maintain accurate pumping logs, operational records and service reports. Carry out equipment rig-up, pressure testing and rig-down activities. Communicate effectively with supervisors, team members and clients regarding job requirements and operational activities. Participate in toolbox talks, risk assessments and ongoing safety training. Requirements Minimum of 3 years' experience as a Nitrogen Pump Operator, preferably within the oil & gas industry. Proven experience operating high-pressure nitrogen pumping equipment. Strong understanding of nitrogen pumping operations, pressure control and flow rates. Ability to inspect, maintain and troubleshoot nitrogen pumping equipment. Knowledge of nitrogen handling procedures and associated safety risks. Experience in equipment rig-up, pressure testing and rig-down. Ability to work independently and as part of a field operations team. Strong commitment to safety, reliability and operational efficiency. Good communication skills and a proactive, hands-on approach. CDL (Commercial Driver’s License) is preferred.

Location: Schaffhausen, Switzerland D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Tasks and Responsibilities Monitor the performance of the company's desktop infrastructure and make suggestions for improving efficiency Act as the main point of contact for employees who are experiencing computer issues Ongoing maintenance and future planning needs of the company's desktop infrastructure Complex IT support tasks for our customer both onsite and remote maintenance (PC, laptop and peripherals) Regular front desk assignments for direct support in case of inquiries and problems of our customer Managing the inventory system (purchasing, goods receipt, maintenance and proper disposal) Carrying out simple installations in the infrastructure area (in particular network cabling) Setting up and providing the IT infrastructure for new employees Coordinate and plan PC installations, e.g. for workstation relocations, in cooperation with the existing team Processing of tickets in the ticket system and their documentation Evaluate applications and software patches for desktop applications to see if they will solve desktop issues Resolve software, hardware and device issues reported by the end users Installation, configuration and ongoing usability of desktop hardware and software IT support relating to technical issues involving Connect client Support services for Client standard technologies including basic troubleshooting of Exchange and adds/moves/changes for AD accounts Troubleshoot PC connectivity issues and network elements including ISP circuits, firewalls, network switches, wireless equipment and telephone system Remote access solution (VPN) implementation and support Document and update the local client environment Escalate service issues when required Communication with customers/end users as required, keeping them informed of incident progress, notifying them of impending changes or agreed outages Advise and train staff on computer operations and software applications Requirements Good understanding of Information Technology; trends, products and solutions 1+ years’ experience in a similar position supporting a variety of technologies and services In depth knowledge of: Windows OS (Windows 7 & 10) Microsoft Office & Office 365 applications PC\Laptop hardware PC\Laptop peripherals, including printers Mobile devices Basic knowledge of Active Directory Exchange ITIL certification and familiarity with the Service Now ticketing system is an advantage GxP knowledge is desired Highly self-motivated and directed with a keen attention to detail Customer focused with a passion and drive for customer satisfaction and delivering business values Solid problem solving and analytical skills Ability to work independently as well as willing to follow directions and best practices Great communication and interpersonal skills Friendly, supportive and flexible personality with quick learning ability Good team player with planning and organizing skills & multi-task Fluent (at least B2) written and oral English and German language, French language is a plus Willing to travel within Schaffhausen area Drivers license and a private car Candidates have to declare Criminal record extract not older than 3 months Benefits Broad range of activities, tasks, and projects Lunch Checks or Reka Money (Lunch Checks can be used in 7000+ restaurants, Reka Money can be used for Transport & Accommodation,Sport & Wellbeing, Leisure &Culture, Holidays & Travel) Enjoy free refreshments in our D-ploy offices Insurance Benefits Gym Benefits Fishing for Friends program – our referral program Further development and professional advancement Friendly and international working environment Competitive salary and various benefits Is IT in your DNA? If you believe you are a good match for this role, or any other opportunities for which D-ploy is currently staffing, then we are very keen to speak with you. You can apply though a variety of channels, including our website www.d-ploy.ch or by reaching out directly to our recruitment team recruiting@d-ploy.ch .

Location: San Francisco, CA 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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 — $485,000 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.