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Location: Spain; Poland Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. The role We are looking for a Treasury Operations and Reconciliations Manager to help run the daily operations that keep money moving safely through Finom Payments. Every payment our customers send or receive must be funded, settled, reconciled and safeguarded across SEPA, instant payments, cards and international transfers. This is a hands-on senior role at a moment of change. Volumes are growing fast and instant payments run around the clock. We are connecting more directly to payment infrastructure, and new products such as lending and payment acceptance bring new money flows. The path to a banking license raises the bar on control and reconciliation. You will take a major part in running the operation day to day, alongside a small team, and step in when money doesn't move as it should. You will also play a key role in designing actual money flows for new products, with our product and engineering teams, before they launch. What you'll do You perform settlement and reconciliation day to day, making sure every euro is where it should be. Treasury operations. Daily funding of our payment channels and the buffers behind them, around the clock. Help bring new schemes and settlement models live safely. Reconciliation across banks, card schemes, payment processors and custodians. Take it from daily balance checks to automated, transaction-level control. Safeguarding and reporting. Keep client money fully protected every day, and make sure the related regulatory and scheme reporting is accurate and on time. Funds-flow engineering. Help design how money moves for new products, markets and partners, and get it right before launch. That covers accounts, postings, safeguarding treatment, reconciliation and what happens when something fails. Escalation. Be the escalation point when money doesn't move as it should. Build the cross-team processes so incidents get resolved fast and don't repeat. Process and automation. Document how the operation works, remove single points of failure, and automate manual work with our engineering teams. Capital, policies, models, investment decisions and trade execution sit with the Head of Treasury. You run the operations and say when the numbers stop matching reality. The split keeps policy, execution and reconciliation independent, as a banking licence requires. Who you are Three things are essential: you know payment systems in depth, you stay effective in an escalation, and you can engineer funds flows. Experience in treasury operations, payment operations or reconciliation at an e-money institution, payment institution or bank. Builder's mindset. You have turned manual, person-dependent work into documented, automated processes, working closely with engineers. Escalation. You have handled money-impacting payment incidents from first alert to resolution, working with banks, schemes and internal teams. Payment systems. Hands-on knowledge of rails such as SEPA, SWIFT and card schemes. Funds-flow engineering. You have taken an active part in designing or rebuilding money flows for new products or payment rails, including the accounts, postings, safeguarding treatment and reconciliation behind them. Control and clarity. Segregation of duties and audit readiness come naturally to you, and you can explain a complex money flow simply. Fluent English. Nice to have STEM education What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Join Anthropic's Customer Success team as one of the founding members of our Japan Customer Success team as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Japan, helping them harness the full potential of all our Claude capabilities: API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives. You'll work closely with them to provide best practices and guidance, and support them as their usage (consumption and seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies. That makes you a key voice in shaping how we build and deliver ongoing value as a business. As one of the founding members of our Customer Success team in Japan, you'll help shape how we build the function in-region. That includes establishing regional processes, developing new customer relationships, and representing Anthropic's brand in a high-growth market alongside a small, growing team. You'll operate with significant autonomy while maintaining strong alignment with global teams. This requires someone who thrives in ambiguous environments and can work effectively across time zones. Key responsibilities Build trusting, strategic relationships with key Japanese customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption and adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness of new products, and engaging Product PMs as the voice of Japanese customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle: manage comprehensive account and success plans grounded in the customer's business objectives, conduct Quarterly Business Reviews, and serve as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as part of our founding in-region CS team, developing Japan-specific processes, playbooks, and best practices where needed that account for regional business cultures Minimum qualifications Experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer or similar) Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Fluency in English and Japanese Preferred qualifications 6+ years of experience in relevant field Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Role Description As a Real Estate Analyst at Checkout.com, you will provide dedicated administrative, data management, and operational support to the Head of Real Estate, focusing on mitigating risk and increasing efficiency across the global portfolio. This role is essential for managing high-risk operational tasks, such as lease event tracking, lease administration, budgeting and data reporting to ensure a structured approach and prevent critical errors. Key Responsibilities 1. Lease Administration & Governance - Proactively track, monitor, and manage critical dates for all lease events, including renewals and break clauses, acting as the primary conduit for populating and managing the tools that host our Real Estate data. - Support the execution of Real Estate contracts by coordinating with Brokers, Procurement, Legal etc. to finalise signing, updating project budgets, and archiving completed agreements. - Manage operational risk by ensuring all key details related to lease obligations are accurately recorded, tracked and action is taken. - For business case generation, gather comparable evidence, property valuations, and market data to drive strategic negotiations. - Liaise with regional, business and central teams to capture the justification and data necessary for business case approval. - Manage subleasing activities, including monitoring sub-tenant compliance, tracking sublease income and key milestones, and coordinating with legal and property management teams. 2. Financial and Procurement Reporting - Coordinate with Finance, Tax and Procurement teams for Real Estate budgets, including updating and managing the Real Estate OPEX and CAPEX budget tracking tools. - Act as the central point of contact for all property-related budget reporting, preparing quarterly reviews in a clear, digestible format that includes Real Estate and Workplace costs - giving an all inclusive cost per desk / square foot / head. - Assist in reporting refurbishment or new office delivery costs, against business as usual spend for operational office locations. - Support the coordination of financial and legal documentation required for transactions, such as preparing group structure charts and financials for external parties (e.g., landlords). 3. Corporate Social Responsibility (CSR) Data Collation - Lead the coordination and collection of energy, water, and utility consumption data across the global portfolio to support future CSR reporting requirements. - Manage the challenge of obtaining utility data in co-working and serviced spaces where direct meter readings are complex, including liaising with local teams, operators and landlords to gather the necessary information. - Act as the conduit between the CEO Office and ESG/CSR teams to ensure our portfolio meets the needs of Sustainability policies and or regulatory requirements. 4. Departmental Administrative Support - Assist in due diligence and preparation of business cases by researching and reporting on regional office statistics (e.g., desk counts, utilisation, attendance, capacity & commercials). - Act as a key liaison for business case presentation and refinement. - Maintain dynamic headcount forecasts to ensure space planning aligns with evolving business needs, particularly for high-growth regions. - Monitor and document team shift patterns to inform workspace strategy (e.g., HVAC service requirements, after-hours access, and desk rotation models). - Monitor and manage utilisation reports for Serviced Offices, along with onboard and offboard leaves to locations where we do not directly manage access control. - Maintain the central digital repository for all property documentation (leases, contracts, floor plans, and insurance certificates), ensuring strict naming conventions, accessibility, and version control are met to ensure 100% audit-readiness. - Schedule and prepare agendas, collate pre-read materials, and document meeting minutes for key real estate governance forums, proactively tracking action items to ensure timely closure by stakeholders. - Managing the administrative aspects of the "joiner/leaver" process for office access where no assigned Workplace / People person is assigned. - Act as the primary administrator for processing property-related invoices, performing the initial "first-pass" review to flag discrepancies against purchase orders (POs) and ensuring all costs are accurately coded before final submission to Finance. 5. Health, Safety & Physical Security Management - Coordinate the global H&S audit schedule in partnership with SMEs, managing the central audit database, evidence library, action log, and training records to track progress and compliance. - Support the weekly, monthly, quarterly, and annual reporting framework to surface risk trends and audit completion status, allocating audits to regional teams for execution. - Own the scheduling, chasing, and evidence trail for the audit lifecycle, acting as the primary administrative point of contact to ensure smooth execution. - Drive the audit lifecycle by ensuring all actions are identified, triaged, and managed to resolution, proactively identifying blockers and managing overdue items. - Ensure regional teams interpret and apply the central H&S framework in accordance with local laws while maintaining the global baseline standards. - Manage the integration of the H&S framework with wider Real Estate RACI to ensure clear accountability and prevent overlaps in responsibilities. - Implement and maintain physical security policies and standards across all global office locations. - Instruct periodic physical security risk assessments and audits to identify vulnerabilities and ensure compliance with security protocols. - Oversee visitor management processes and physical security measures to safeguard personnel and assets. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Serbia, Worldwide Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Product Owner to own the paying customer's experience after purchase. We're not looking for a task manager. We're looking for someone who will own a part of the product end-to-end, from hypothesis to results. Your mission You'll own what happens after a user pays: getting every paying customer to a quality match as fast as possible. This is not a classic subscription-retention role, and it's not SaaS onboarding. We need someone who knows how to increase the share of customers who reach the value moment, through better activation, matching, relevance, and experience. What you'll work on — Getting offer volume right: making sure customers see neither too many nor too few options — Improving the relevance of recommendations and building trust in what we show — Increasing relevant invites to paying customers — Raising the probability that a new customer forms a quality match in their first week — Designing mechanics that bring users back into conversations (e.g. gamification, nudges, reminders) — Understanding which matching parameters matter most for different user segments, and using segmentation, personalization, and data enrichment of offers to improve results The quality of free members' communication itself is outside this role. Your focus is activation, matching, relevance, and experience. How you'll work — Find bottlenecks and growth points in the post-purchase journey using data, research, and common sense — Turn ideas into clear, testable hypotheses with defined success metrics — Work with engineers, designers, analysts, and data/ML specialists to ship fast and efficiently — Manage requirements, priorities, and timelines for smooth, predictable delivery — Run experiments, analyze results and product metrics, then iterate and scale what works Who we're looking for A B2C product person with hands-on experience in: — Customer experience and customer journey design, activation, onboarding, or the first-session experience — Discovery-driven products with a large volume of offers or listings — Search or feed relevance, matching, or recommendation systems — Segmentation, personalization, and enriching offers with data Relevant backgrounds Marketplaces and aggregators, dating and social discovery, real estate and classifieds, e-commerce with large catalogs, or any product built around discovery, matching, recommendations, or personalization. We expect from you — You know how to formulate hypotheses and define requirements — You can drive delivery — You know how to validate results and run A/B tests and other experiments — You're comfortable with qualitative and quantitative product research — You work well cross-functionally with designers, analysts, and engineers — You understand product metrics and how to find growth opportunities — You focus on results, not process — You take ownership instead of waiting for direction — You're comfortable with changing priorities — You communicate clearly and directly — You treat failures as learning, not setbacks What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: United Kingdom (Hybrid) Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 This role offers direct involvement in how a company is built and run: the choices about products, people, capital and execution that determine its success. You’ll work with Barney and the leadership team to investigate difficult questions, develop independent recommendations and turn them into results. Your work might range from diagnosing why a product is underperforming to evaluating a new market, shaping a fundraising narrative or leading a company-wide initiative. The standard is high. You’ll need to get deep into unfamiliar subjects, interrogate the numbers, challenge assumptions and explain your reasoning clearly. You’ll be expected to contribute your own view and take responsibility for what happens next. As you build trust and context, you’ll take on greater autonomy, represent Barney in important discussions and own substantial work on his behalf. You’ll see how decisions play out and develop your judgement through direct experience. For someone who intends to found a company, lead a business or become an investor, this is an opportunity to build the operating experience and commercial judgement to do it well. ABOUT THE ROLE ✍️ We’re hiring a Chief of Staff to partner with our CEO. Working alongside the leadership team, you’ll be the right hand to our CEO, driving the priorities that matter most across Cleo 🌱 - Investigate consequential questions. Analyse markets, products, customer behaviour and business performance. Establish what the evidence says, identify the choices and trade-offs, and make a clear recommendation. - Own major initiatives. Take priorities off the CEO’s plate and drive them from an ambiguous starting point through to delivery. Work across functions, establish ownership, resolve obstacles and stay accountable for the outcome. - Improve business performance. Get close to Cleo’s numbers. Identify where results diverge from expectations, work with leaders to understand the causes and help drive a credible response. - Support fundraising and board decisions. Work with the CEO, Finance and leadership team on rigorous analysis, compelling materials and a clear account of our strategy, performance and capital needs. - Make leadership time count. Shape discussions around the decisions that matter, prepare useful briefs and follow commitments through to completion. Partner with the CEO’s EA to align his time with his priorities. - Write and communicate with precision. Produce decision papers, presentations and internal and external communications. Make complex ideas understandable and the reasoning behind recommendations easy to assess. - Exercise independent judgement. Surface uncomfortable facts, challenge assumptions constructively and explain what would change your view. Build relationships across the business so your recommendations are informed and your work gets done. WHAT WE'RE LOOKING FOR 🕵️ We’re looking for someone with exceptional ability, independent judgement and the ambition to take on consequential work. You may have developed these qualities in strategy, finance, technology, research, entrepreneurship or another demanding field. We’ll assess the quality of your thinking, the difficulty of what you’ve taken on and what you personally achieved. - A record of exceptional achievement. You’ve distinguished yourself through the quality and impact of your work. You can point to difficult problems you solved, significant responsibility you earned and results you personally delivered. We’ll want to understand your contribution and what made the work demanding. - Intellectual depth and range. You’ve gone deep in at least one area and can get to grips with unfamiliar subjects quickly. You ask incisive questions, reason from first principles and connect ideas across disciplines. - Independent judgement. You distinguish evidence from assumption, form a clear view and explain your reasoning. You’re comfortable challenging strong opinions, admitting uncertainty and changing your mind when the facts warrant it. - Analytical and commercial ability. You’re confident working with numbers, interrogating business performance and evaluating trade-offs. You can turn incomplete information into a sound recommendation and connect detailed analysis to its implications for the company. - A record of execution. You bring structure to open-ended problems and take ownership through to the outcome. You earn cooperation from strong colleagues, resolve obstacles and follow through without needing to be chased. - Exceptional communication. You write precise, persuasive prose, listen carefully and make complex ideas clear. You can disagree constructively, earn credibility with senior leaders and represent the CEO’s thinking accurately while contributing your own. - Ambition, composure and low ego. You seek significant responsibility, welcome direct feedback and hold yourself to a demanding standard. You remain effective under pressure, handle sensitive information with discretion and bring care to both consequential decisions and routine preparation. - Intelligent use of AI. You actively use AI tools to accelerate research, analysis, writing and execution. You test their outputs and retain responsibility for the quality of your work. We welcome unconventional paths and evidence of excellence from different settings. Be ready to show us how you think, what you’ve built or changed, and what you learned from the results. What you’ll gain Direct access to the CEO’s thinking, close work with experienced leaders and the opportunity to see your recommendations tested in a real business. Your responsibility will grow as you demonstrate judgement and deliver results. You’ll develop a practical understanding of how to set direction, allocate resources, evaluate performance and lead through others at a profitable AI company operating at scale. WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We are now hiring for an Analytics Engineer to join our new BI / Data team. This role is an exciting opportunity to turn raw data into the trusted metrics and self-service analytics that every team at Xelix, from Finance to Product, makes decisions with, built AI-native so a small team delivers trusted metrics in weeks rather than quarters. Whether you're an experienced mid-level engineer ready for broader ownership or already operating at senior level, you'll have real influence on how Xelix defines and uses its data. What you'll be doing Model clean, joined tables in dbt for customers, contracts, usage, product outcomes, support, revenue and cost Work AI-native from day one: AI coding agents draft models, tests and documentation, while you own definitions, review and quality Own the metrics layer: one tested definition each for ARR, customer retention, realised customer value, touchless rate and cost to serve, with a first version in use within your first six weeks Move existing Metabase and customer review reporting onto governed models, and retire duplicate dashboards together with their owners Enable Finance, RevOps, Commercial, Product, Engineering and Services to self-serve, including plain-language analytics on top of the metrics layer, and help choose our analytics tooling Agree definitions with business owners and document them so people and AI tools read them the same way What you’ll bring Experience as an analytics engineer or BI developer, building models in dbt on a cloud data warehouse You already work AI-native: you use AI coding agents daily for SQL, dbt models, tests and documentation, know how to verify what they produce, and understand how semantic layers make AI answers reliable Excellent SQL and data modelling, including dimensional models and metrics or semantic layers Experience with a BI tool such as Metabase, Omni, Looker or Power BI, and with enabling non-technical users Business sense: you understand SaaS metrics like ARR, churn and expansion, and can turn questions into data Clear communication and patience in getting stakeholders to agree on one definition What we offer in return 💰 Competitive salary of £50,000-£70,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We are now hiring for a Data Engineer to join our new BI / Data team. This role is an exciting opportunity to build Xelix's data platform from the start: the pipelines, data lake and Snowflake warehouse that become the company's single source of truth, built AI-native so a small team delivers in weeks what used to take quarters. You'll work alongside the Data Engineer in our Platform Team, who focuses on our production data systems, while you focus on bringing data together for analytics, reporting and AI. Whether you're an experienced mid-level engineer ready for broader ownership or already operating at senior level, this is a chance to shape a new team from its first day. What you'll be doing Build and run ingestion from our platform databases and business tools (HubSpot, Xero, Intercom, Gong and more) into our data lake and Snowflake warehouse, with a first version of the priority sources live within your first six weeks Work AI-native from day one: AI coding agents write, test and document pipelines, checks and infrastructure code, while you own design, review and reliability Set up change data capture from Postgres read replicas, so analytics never touches production Own reliability, monitoring, data quality checks and cost control for the data platform Work with our Platform Team on data contracts and access to production data, so analytics needs are designed in rather than bolted on Build datasets with AI Engineering for model evaluation and measuring processing accuracy What you’ll bring Solid experience as a data engineer, building production pipelines into a cloud data warehouse (Snowflake preferred) You already work AI-native: you use AI coding agents daily for pipelines, SQL, tests and infrastructure code, can show how it changed your speed, and know how to verify what they produce Strong SQL and Python, plus experience with dbt and a managed ingestion tool such as Fivetran or Airbyte Hands-on Postgres experience, including replication or change data capture AWS experience (S3, RDS, IAM) and infrastructure as code A security-minded approach to sensitive financial data: access controls, retention and auditability What we offer in return 💰 Competitive salary of £50,000-£70,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: Bangalore (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion As our Talent Operations Coordinator, you’ll be the operational backbone of our hiring and onboarding efforts, blending hands-on coordination with process ownership. You’ll keep every candidate interaction running smoothly, make sure new hires start strong and stay supported after Day 1, and build the systems and data that help our teams scale. You will: - Master the art of interview scheduling across time zones, departments, and competing priorities with precision and efficiency - Own the interview lifecycle in Ashby end to end: keep stages, scorecards, and interviewer assignments accurate, and run regular data hygiene audits - Manage interviewer coordination and readiness, including scheduling, prep materials, feedback reminders, and calendar and room or video logistics - Be the go-to point of contact for candidates, providing clear communication, timely updates, and a professional experience throughout - Keep Ashby (our ATS) running smoothly and coordinate preboarding - Team up with the other Talent Operation team members to optimize processes, track key metrics, and turn recruiting data into actionable improvements - Get exposure to the broader People team and jump into various initiatives including talent research and onboarding support - Build and maintain templates, playbooks, and SOPs for scheduling, candidate communications, and preboarding to keep the process consistent and scalable - Track and report on core recruiting metrics (time to schedule, time to feedback, candidate NPS, offer acceptance rate) and flag bottlenecks - Partner with recruiters to source for a few select roles, including researching target companies, identifying and engaging prospects, and building talent pipelines - Plan and run post-onboarding sessions and check-ins, coordinating with managers, IT, and People Ops so new hires stay supported through their first weeks - Prepare presentations and training materials for onboarding and compliance programs. AI-NATIVE MINDSET We work smarter by leveraging AI. You should be comfortable with tools like Claude, Gemini, and Ashby's AI features, whether that's streamlining communication, automating repetitive tasks, or spotting efficiency wins. You'll help champion AI adoption across the talent team and find new opportunities to improve how we work. YOU BRING - 4-7 years of experience in talent operations and recruiting coordination - Exceptional organizational skills with an operations-first mindset: you thrive on systems, processes, and keeping multiple moving parts running seamlessly - Outstanding written and verbal communication: you're articulate, clear, and professional in every interaction - An AI-native approach: you're already using tools like Claude and Gemini effectively and you're excited to expand their application - Proficiency with ATS platforms (Ashby experience is a plus) and Google Workspace - Drive and proactivity - everyone here is a builder and executor WHAT WE OFFER - Competitive salary, stock options, and benefits from Day 1 - Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs - Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays) - Monthly transport and work-from-home allowances - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid The role & impact As an Engineering Manager in our Machine Learning & AI team, you'll lead a high-performing, inclusive team of engineers building and operating AI-powered experiences and capabilities across Xero. The team's work spans traditional machine learning, from predictive models and intelligent automation through to LLM-powered and agentic AI experiences that bring new ways for customers to interact with and get value from Xero. - You'll lead engineering across a broad range of technology surfaces, from customer-facing AI experiences and intelligent product workflows to the backend services, platforms and infrastructure that power them. You'll help turn research, models and emerging AI capabilities into reliable, secure and scalable production products that make a real difference for millions of small businesses. - You'll balance predictable delivery with a relentless focus on engineering quality and system health, building our maturity across MLOps, LLMOps, observability, evaluation and the operational practices needed to run AI systems in production. As AI continues to evolve, you'll also champion AI-native engineering practices and help your team adapt how we design, build, test and operate software. - Working closely with senior individual contributors, including staff and principal engineers, you'll help shape technical direction while focusing on team growth, delivery excellence and sustainable engineering practices. This is a role for someone who wants to build both the systems and the people that enable Xero to deliver AI-powered products at scale. The team & how they connect You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team partners closely with Applied Science, Data Engineering, Product and other engineering teams to bring AI capabilities from research and experimentation into production. Our scope goes beyond building and serving models. We build the end-to-end engineering capabilities that bring AI to life in Xero's products, spanning traditional ML-powered automation and predictions, conversational AI assistants, LLM-powered workflows and agentic experiences. This means working across the full stack, integrating AI into customer experiences and product workflows while building the front end & backend services, platforms and infrastructure needed to make those experiences safe, reliable and scalable. It's a collaborative, evolving space where you'll help translate advances in ML and generative AI into practical customer outcomes, while building the engineering foundations to support the next generation of AI-native products. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work. Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You'll have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for, for this role - You'll bring a strong track record of leading, coaching and developing engineers, building team capability and creating an environment where people can do their best work. - You have strong technical judgement across architecture, system design and engineering trade-offs, and can guide decisions across a broad and evolving technology landscape. - You've translated business goals into executable engineering plans, balancing near-term delivery with long-term technical health and maintainability. - You're experienced in delivering roadmaps predictably in fast-paced, evolving environments, navigating ambiguity and adapting as priorities and technology change. - You understand what it takes to build and operate production-grade software, from customer-facing experiences and backend services through to distributed systems, platforms and infrastructure. - You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team, support an incident or help resolve a complex technical challenge. - Experience with machine learning, generative AI or AI-powered products is a bonus rather than a requirement. You don't need to be an ML specialist, but genuine curiosity about the space and an appetite to learn how these technologies are changing software engineering will help you thrive here. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: India 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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter Account Executive based in India who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of new Mid Market accounts in the Customer Experience and Conversational AI Experiences spaces to help ElevenLabs meet its revenue goals. - Identify new business opportunities in that align with ElevenLabs’ product offering and roadmap. - Generate leads, negotiate contracts and close sales in collaboration with the Growth team. - Develop and maintain a deep understanding of the Conversational AI industry - Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. WHO YOU ARE We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. WHAT YOU BRING - Builds plan to quota in first sales and upsells out of NAL - Experience in building a new category, company, product in a space with previously no penetration - ~ 7-11 years of experience in value selling a technology product, preferably in Customer Experience and Customer engagement to clients with a global footprint - Generate self-led pipeline in target list of accounts - Network and experience in the IN CX, Support and BPO industry and has sold to CXOs - Close deals and manage customer onboarding/delight - Showed previous ownership for all aspects of the customer lifecycle including onboarding, and support - Evidence of farming accounts to deliver multi-X growth - Worked at a Top tier growth company where there is a keen understanding of sales process and high degree of ownership - Drive initiatives that improve ElevenLabs consideration - Has performed sales development activities such as campaigns, events, partnerships that drive ElevenLabs consideration with customers - Self Starter - Analytical skills and proficiency with spreadsheets - Proficiency in creating compelling presentations and demos - Market Insight: Deep knowledge of the IN CX, Support and BPO industry - Proficiency in English - Plus: Network in the relevant SIs/consults LOCATION: MUMBAI, IN #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: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

• Претензионная работа, досудебное урегулирование споров. • Анализ договоров, оценка рисков и спорных ситуаций.

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

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

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

Location: Prague, Czechia Are you a student eager to gain real-world experience and kick-start your career in a global business environment? Join our Internship Program and work on meaningful projects in the areas of Procurement, Sourcing, Finance, Data, Digital, and Artificial Intelligence. This is a unique opportunity to apply your academic knowledge in practice, collaborate with experienced professionals, and gain valuable insights into how an international organization operates. You will have the chance to contribute to real business initiatives, develop new skills, build your professional network, and work in a dynamic, collaborative, and innovative environment. Whether your passion lies in analytics, technology, finance, or digital transformation, this internship will provide hands-on experience that helps prepare you for your future career. D-ploy is an IT and Engineering Solutions company operating across EMEA and the USA, supporting industry-leading clients through innovative services and solutions. As an intern, you will be part of an international team where learning, growth, and fresh ideas are valued and encouraged. What You Will Do • Support strategic sourcing projects through market analysis, supplier research, and bid evaluation. • Prepare analytical materials and fact-based insights to support supplier negotiations and commercial discussions. • Utilize AI and Generative AI tools to analyze supplier proposals, compare commercial offers, and identify optimization opportunities. • Assist in building spend analytics dashboards, category insights, and procurement performance reporting. • Support the development and testing of AI-powered procurement use cases, prompts, agents, and automation solutions. • Collect, structure, and analyze procurement and supplier data to identify trends, risks, and opportunities. • Prepare executive summaries, sourcing recommendations, and presentation materials for procurement leadership. • Support contract reviews, supplier assessments, and sourcing documentation activities. • Collaborate with procurement professionals, business stakeholders, and digital teams on innovation initiatives. Requirements • Current student or recent graduate in Data Science, Artificial Intelligence, Analytics, Business, Economics, Supply Chain, Procurement, Engineering, or a related field. • Strong interest in combining AI, technology, and business problem-solving. • Analytical mindset with the ability to work with large datasets and derive actionable insights. • Excellent communication and presentation skills. • Curious, proactive, and willing to learn in a fast-paced global environment. • Ability to work independently while collaborating effectively within international teams. SPECIFIC SKILLS Preferred experience or interest in: • Artificial Intelligence and Generative AI (Copilot, ChatGPT, AI Agents, Prompt Engineering) • Data Analytics and Visualization • Financial and Commercial Analysis • Presentation skills and Storytelling Skills PREFERRED QUALIFICATIONS • Academic projects or previous experience involving AI, machine learning, analytics, automation, procurement, sourcing, or business intelligence. • Experience working with structured and unstructured data. Benefits Broad range of activities, tasks, and projects Flexible working conditions Minimum 5 weeks of vacation Paid sick days Meal vouchers Vouchers (B-day voucher, wedding, and new born surprise) Contributions to wellness programs (multisport card) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: North Macedonia; Serbia; Bulgaria; Albania; Kosovo; Bosnia and Herzegovina About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and tech companies across SaaS, eCommerce, and FinTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a valued, long-term member of their team. About the Company This opportunity is with a performance-driven digital marketing agency focused on scaling revenue through data-led paid media strategies. The company specializes in Google Ads, paid social, and conversion optimization, helping clients maximize ROI across multiple industries. Job Summary We are looking for a Senior Google Ads Specialist with 4–5+ years of hands-on experience managing and scaling high-performing Google Ads campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing significant advertising budgets, optimizing campaigns for maximum ROI, and driving measurable business growth. You'll take ownership of paid search strategies, campaign execution, performance analysis, and ongoing optimization while working closely with marketing teams and key stakeholders. Key Responsibilities Plan, launch, manage, and optimize Google Ads campaigns across Search, Display, Shopping, YouTube, and Performance Max. Develop and execute paid advertising strategies focused on lead generation, conversions, ROAS, and customer acquisition. Manage substantial monthly advertising budgets while maximizing campaign efficiency and profitability. Conduct in-depth keyword research, competitor analysis, audience targeting, and bid optimization. Monitor and improve key performance metrics, including CPA, CPC, CTR, conversion rates, and ROAS. Implement and troubleshoot conversion tracking using Google Tag Manager, GA4, and Google Ads. Run A/B tests on ad copy, landing pages, bidding strategies, and audience segments. Analyze campaign performance and provide actionable recommendations to improve results. Create detailed performance reports and communicate insights to clients and internal stakeholders. Stay up to date with Google Ads platform updates, automation, and performance marketing best practices. Requirements 4–5+ years of professional experience managing Google Ads campaigns, preferably in an agency or high-growth business environment. Proven track record of scaling successful Google Ads campaigns and delivering measurable ROI. Advanced knowledge of Google Search Ads, Performance Max, Display, Shopping, and remarketing strategies. Strong experience managing and optimizing substantial monthly ad spend. Proficiency in Google Analytics 4 (GA4), Google Tag Manager, and conversion tracking. Strong understanding of bidding strategies, attribution models, and conversion rate optimization (CRO). Excellent analytical skills with the ability to translate campaign data into actionable business insights. Experience with Google Looker Studio, reporting dashboards, and performance analysis. Strong communication skills and confidence presenting campaign results to stakeholders. Ability to independently manage multiple campaigns, prioritize tasks, and meet performance targets. Excellent written and spoken English. Nice to Have Google Ads certifications. Experience managing paid media campaigns for international markets, particularly the US, UK, or Australia. Experience with Meta Ads, Microsoft Ads, or other paid advertising platforms. Experience working with SaaS, eCommerce, lead generation, or B2B companies. Familiarity with landing page optimization and marketing automation tools. Benefits 🌎 Fully remote role with flexible work environment 🚀 Work with high-growth companies and performance-driven teams 📈 Opportunity to scale campaigns with significant ad budgets 🎯 Performance-based bonuses tied to campaign success 🤝 Direct collaboration with international clients and marketing leaders