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Location: Remote - EMEA Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role Own the corporate actions product lifecycle at a rapidly scaling self-clearing broker-dealer. Your mission is to build and operate the systems, vendor relationships, and processes that keep Alpaca accurate, compliant, and on time across every corporate action, from announcement ingestion and entitlement calculation through processing, reconciliation, and client credit. You will ensure that corporate action operations scale reliably as Alpaca adds new event types, asset classes, international markets, and partner institutions. Over time, you will have the opportunity to grow into broader ownership across clearing and post-trade infrastructure: security master, ledger integrity, multi-market readiness, and the platform foundations that keep brokerage, custody, and books and records in sync. Things You Get To Do Own Corporate Actions End-to-End: Drive the product roadmap for announcement capture, entitlement calculation, mandatory and voluntary event processing, payouts, and exception handling. Define timelines, acceptance criteria, and quality gates that ensure accurate, timely processing at scale. Vendor & Data Quality: Own relationships with corporate action data providers. Build announcement review workflows and establish trustworthy announcement data as a prerequisite for automation. Automate Safely: Design staged automation for mandatory corporate actions and pre-reconciliation. Operations & Observability: Deliver entitlement worksheets, partial processing (process selected accounts or correspondents while excluding problematic ones), and dashboards for processing time, load, progress, and credited amounts.. Global & Partner Readiness: DCoordinate the corporate-action work required for newly launched international markets. Upstream Data Governance: Partner with cross-functional engineering teams to prevent conflicts across Security Master, brokerage, and ledger systems. Who You Are (Must-Haves) Corporate Actions Domain Expertise: Deep working knowledge of brokerage corporate action processing — announcement sources, record/ex/pay dates, entitlements, mandatory vs. voluntary events. You have lived through high-volume event seasons at a broker-dealer, clearing firm, or custody/post-trade platform. Product Management Experience: Proven track record in Product Management or technical program management at a fintech, brokerage, or financial infrastructure company. You know how to create a roadmap, manage a backlog, and ship under hard operational deadlines. Clearing / Post-Trade Fluency: Enough clearing depth to reason about stock record, ledgers, settlements, and books and records. Cross-Functional Leadership: Exceptional ability to coordinate across Engineering, Operations, Compliance, Tax, Finance, and Legal. You can translate complex business needs into clear engineering requirements and defend prioritization decisions. Technical Fluency: Comfortable working with data systems, vendor feeds, reconciliation workflows, and partnering closely with engineers on observability and data integrity. Operating Judgment: Strong judgment to weigh risk, operational efficiency, tech feasibility, time, and budget in a regulated self-clearing environment. Who You Might Be (Nice-to-Haves) Familiarity with how corporate actions feed tax reporting (cost basis, wash sales, 1099 event mapping) and Security Master tax attributes. Experience with B2B2C correspondent / broker-as-a-service models and partner sandbox/testing needs. AI-native PM workflow: recurring use of tools like Cursor, Claude, ChatGPT, or custom agents in PRD drafting, incident synthesis, data exploration, and prototyping. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: London Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As an Enterprise Sales Executive focused on Manufacturing vertical, you will open new doors for UiPath across a territory full of untapped potential. Your focus is winning new logos: finding, building and closing opportunities with manufacturers that have not yet worked with UiPath. You will engage C-suite leaders and digital transformation teams early, challenge how they think about work, and position UiPath as the trusted platform for agentic automation across production, supply chain, finance and customer operations. Every new customer you win helps manufacturers cut repetitive work, become more resilient and efficient, and free their people to focus on higher-value decisions and better outcomes. This is a high-impact hunting role in an industry going through major change. You’ll be challenged, supported and inspired by some of the best talent in the field as you build your own path to success. What you’ll do at UiPath - Build and run a territory plan focused on new logo acquisition, identifying and prioritising the manufacturing organisations with the greatest potential - Generate your own pipeline through proactive outreach, including cold calling, social selling, events and executive networking - Break into new accounts and build relationships from first contact through to signed contract - Own the full sales cycle for new business, from prospecting and discovery to negotiation and close - Achieve or exceed quarterly and annual new business targets - Lead with insight, bringing a point of view on how automation can solve specific challenges such as supply chain disruption, order-to-cash delays, quality and compliance demands, and workforce shortages - Build compelling business cases that show the financial and operational value of UiPath to new buyers - Work with local partners and global systems integrators to source new opportunities and access new accounts - Partner with marketing, business development and pre-sales teams on campaigns and plays that create new pipeline - Track competitors, market trends and industry priorities to spot new opportunities before others do - Hand over new customers smoothly to Customer Success and Customer Engineering, setting them up for successful implementation and long-term growth - Share what works with fellow sales executives to strengthen the team’s hunting approach - Explore ways of incorporating automation into daily work What you’ll bring to the team - 5+ years of solution or value selling experience, with a strong focus on new business - A proven track record of consistently winning new logos and exceeding new business quota year on year - 3+ years of enterprise sales experience selling to Manufacturing customers (preferred) - Experience building pipeline from scratch in a greenfield or under-penetrated territory - Confidence prospecting into senior stakeholders, including the C-suite, and opening conversations with organisations that are new to you and to UiPath - Understanding of manufacturing operations and the systems that support them, such as ERP, supply chain and shop-floor technology - Ability to explain new and complex concepts simply, in a way that creates real desire for the solution - Skill in navigating complex organisations and building a network of contacts across departments and levels of leadership - A research and data-driven approach to account targeting and planning - Resilience, persistence and a competitive drive to win - Strong collaboration and influencing skills, internally and externally - A self-starter who is invested in the success of the team - Bachelor’s degree highly preferred - Automation-first mindset #LI-MB1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: London, United Kingdom Workplace: hybrid Talent Partner Location: London, hybrid 3 days Reports to: Senior Talent Partner The Role We’re looking for a motivated and collaborative Talent Partner to join our growing global People Team on a 12-month FTC with scope to become permanent. You’ll deliver end-to-end recruitment with a primary focus on Sales and Commercial roles in the UK, and also support hiring across Finance, Operations, Compliance and Product & Technology. You’ll work closely with the Senior Talent Partner to deliver high-quality hires across the UK, and will occasionally support TA colleagues in other regions. This is a hands-on delivery role with the opportunity to lead special projects that influence how we attract, engage, and retain talent globally. You’ll partner closely with hiring managers and colleagues across the People Team, acting as an ambassador for Sokin’s values and helping us build a world-class candidate experience. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business — so businesses thrive wherever they choose to grow. We deliver services across: · Global payments and receivables · Foreign Exchange (FX) · Treasury management · Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America. Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing fast. As we continue to scale, we’re building a team of exceptional people who share our ambition to transform the future of global payments. Key Responsibilities Recruitment Delivery & Sourcing · Manage end-to-end recruitment for assigned roles, ensuring quality, pace, and candidate experience. · Proactively source and engage top talent across global markets using a mix of direct sourcing, networking, and creative outreach. · Screen, assess, and present candidates with clarity, ensuring alignment on both skills and culture. · Maintain accurate candidate data, pipelines, and reporting in our ATS (Ashby). · Partner with hiring managers to ensure smooth process flow, timely feedback, and aligned decision-making. Collaboration & Stakeholder Partnership · Build trusted relationships with hiring managers, understanding their teams, goals, and priorities. · Partner with your Senior Talent Partner to forecast hiring needs and contribute to workforce planning discussions. · Collaborate with the People Ops Lead to ensure seamless onboarding, contracts, and compliance. · Share market intelligence, competitor insights, and candidate feedback to inform hiring strategies. Employer Brand & Candidate Experience · Champion Sokin’s culture and values through every touchpoint of the recruitment process. · Deliver a consistent, transparent, and inclusive candidate experience from application to onboarding. · Contribute to employer brand and talent attraction initiatives in collaboration with the Brand and Communications teams. · Represent Sokin externally, through digital engagement, events, or partnerships that build our presence in the fintech and payments space. Data, Insights & Continuous Improvement · Track and analyse recruitment metrics to identify bottlenecks, trends, and areas for improvement. · Support the TA Leads in developing dashboards and data insights for leadership reporting. · Share recommendations to enhance recruitment processes, tools, and candidate engagement. Special Projects & Growth Initiatives · Lead or contribute to projects that elevate our Talent function, e.g. diversity and inclusion initiatives, market mapping, or global recruitment campaigns. · Collaborate on process improvement, new sourcing tools, or candidate experience enhancements. · Partner with the Senior Talent Partners on content creation, social media strategy, and storytelling for our employer brand. · Support wider People Team projects, such as onboarding improvements, workforce data accuracy, or engagement initiatives. Requirements · 3–4 years of end-to-end recruitment experience, ideally within fintech, payments, or technology-driven environments, in-house or agency · Proven experience delivering end-to-end recruitment, with a strong focus on Sales and Commercial hiring in the UK, and the flexibility to support roles across Finance, Operations, Compliance and Product & Technology. · Excellent sourcing skills across LinkedIn, job boards, social channels, and networks. Strong organisational and prioritisation skills with the ability to manage multiple roles at pace. · Proven stakeholder management, confident, professional, and collaborative. · Experience using ATS tools (Ashby preferred) and maintaining accurate data pipelines. · Curious and creative, someone who enjoys problem-solving and improving how we do things. · Passionate about people, culture, and delivering a best-in-class recruitment experience. Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process

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

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Brand & Experience team builds the emotional connection between Deliveroo and our customers, riders, and partners. With a deep understanding of our audience and a passion for creativity, we bring our brand to life across every touchpoint. Whether it’s a push notification, social campaign, or packaging design—we craft compelling experiences that shape perceptions, spark engagement, and make Deliveroo a loved, global brand. We’re looking for a Senior Marketing Manager, Brand Integrated Marketing to join our London team. This is a hybrid role. In this role, you’ll help us take ideas from global strategy through to local activation across markets, delivering integrated campaigns that drive measurable business growth. What You’ll Be Doing You’ll be joining the Integrated Marketing team. We own the Deliveroo brand globally and lead our biggest campaign moments. Working in a cross-functional squad alongside strategic teams, functional leads, and local markets, we turn big ideas into high-impact campaigns across our markets. Here’s what your day-to-day might look like: Global Campaign Ownership: Lead high-profile global marketing programmes and integrated campaigns from global strategy through to local market execution. Framework & Playbook Development: Design, scale, and maintain measurement frameworks, playbooks, and systems that enable global and local teams to execute best-in-class brand campaigns. Cross-Functional Leadership: Partner closely with cross-functional squads, strategic teams, functional leads, and local market leads to align campaign strategies with core business goals. Stakeholder Management: Influence senior stakeholders across the global organisation without direct authority, ensuring alignment on messaging, execution, and performance metrics. Strategic Optimisation: Balance tactical execution with a longer-term strategic perspective to solve complex marketing briefs and continuously optimize brand performance. What You’ll Need to Thrive Essential Integrated Brand Leadership: Proven experience leading end-to-end global integrated marketing campaigns from initial strategy through to local market activation. Framework Development: Strong track record in establishing measurement frameworks, campaign playbooks, and operational systems that scale across multiple regions. Stakeholder Influence: Demonstrated ability to influence and align senior cross-functional stakeholders and matrix teams without direct line management authority. Strategic & Tactical Execution: Proven ability to operate independently on complex or ambiguous briefs, balancing day-to-day execution with longer-term brand strategy. Commercial Acumen: Strong expertise in linking brand initiatives and marketing campaigns directly to measurable business growth and commercial impact. Nice to Have Experience navigating three-sided marketplace dynamics or fast-paced consumer tech environments. Background working across international or multi-market structures. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

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: Bangkok, Thailand; Vietnam; Georgia; Indonesia; Philippines 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 Lead PPC Specialist . Your main tasks will be: Own and evolve the global Paid Search strategy across our products portfolio, with primary responsibility for Google Ads and additional ownership of Microsoft Advertising where relevant; Lead, coach and develop the Paid Search team: set objectives, allocate workload, review performance, improve execution standards and support hiring and onboarding; Own portfolio-level budget allocation, forecasting and performance across products, markets and funnels, including Tier-1 geographies and six-figure+ monthly search spend; Design scalable account and campaign structures covering keyword strategy, match types, negative keywords, search-query mining, bidding, RSAs, DSA and Performance Max where appropriate; Lead the implementation and optimization of pLTV-based conversions and conversion values: partner with Analytics and Engineering to validate predicted lifetime value, conversion mapping, value uploads and signal quality, then use these signals in value-based Smart Bidding; Establish a rigorous experimentation program using Google Ads Experiments to A/B-test bidding strategies, campaign structures, match types, ads, landing pages and pLTV optimization approaches; Apply sound statistical methods to experiment design and interpretation, including hypothesis definition, sample-size and power considerations, confidence intervals, significance, seasonality and test contamination; Oversee conversion tracking, Enhanced Conversions, offline conversion imports, attribution and reporting across app, mobile web and desktop; identify data gaps and drive remediation; Analyze search demand, auction dynamics, marginal returns and conversion-funnel performance to identify scalable growth opportunities and present decision-ready recommendations; Collaborate with Analytics, Engineering, Product, CRO, Creative and Localization teams to improve acquisition economics and landing-page performance across international markets. We expect from you: Expert-level knowledge of Google Ads Search, including account architecture, keyword and search-query strategy, match types, negative keywords, RSAs, DSA, auction dynamics, policy compliance and international scaling; Advanced knowledge of Google Smart Bidding: Maximize Conversions, Target CPA, Maximize Conversion Value, Target ROAS, portfolio bid strategies and the conditions required for stable learning and scale; Hands-on experience implementing and optimizing campaigns against predicted lifetime value (pLTV) conversions or conversion values, including offline conversion imports, Enhanced Conversions, API-based value uploads, signal validation and bidding calibration; Proven experience designing and running A/B tests through Google Ads Experiments, including bidding, campaign structure, match-type, ad-copy and landing-page experiments; Strong statistical foundation: hypothesis formulation, experimental design, sample-size and power concepts, confidence intervals, statistical significance, variance, seasonality, multiple-testing risk and common sources of bias; Advanced understanding of performance economics and funnel metrics: CAC/CPA, pLTV, ROAS, LTV-to-CAC, payback period, conversion lag, marginal CPA/ROAS, CVR, CPC, CTR and impression share; Deep understanding of measurement and attribution across app, mobile web and desktop, including GA4, Google Tag Manager, Enhanced Conversions, offline conversion tracking and data-driven attribution; Advanced Excel/Google Sheets skills and working proficiency with SQL, BigQuery and BI tools for campaign, cohort and funnel analysis; Strong capability in budget allocation, forecasting, scenario modelling, marginal-return analysis, pacing and executive-level reporting for high-spend international accounts; Experience with Microsoft Advertising, Search Ads 360, Google Ads Scripts or other automation tools is a strong advantage; Proven ability to build scalable campaign-management, experimentation, analytics and quality-assurance processes for a team. 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: Baku Workplace: onsite ABOUT YOU You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. WHAT YOU'LL DO Software Engineering & Problem Solving: Build and ship reliable, secure, and scalable backend systems. Own implementation from design to deployment, ensuring maintainability and performance. Participate in architectural discussions and offer informed technical input. Refactor legacy codebases to improve structure and efficiency while maintaining feature continuity. Drive production readiness by handling incident response, root cause analysis, and observability improvements. Technical Excellence: Write clear, testable, and well-documented code, emphasizing quality and automation. Contribute to a culture of engineering excellence through code reviews and design discussions. Advocate for sound software development practices and continuous improvement. Collaboration & Impact: Work closely with product managers, designers, and other engineers to align on objectives and deliverables. Contribute to technical scoping and estimation for features and infrastructure work. Identify opportunities to reduce technical debt and improve the developer experience. QUALIFICATIONS Hands-on experience with Go (Golang ) in production environments. Strong experience working with PostgreSQL and/or MySQL. Proficient with containerization and orchestration tools: Docker, Kubernetes (K8s), and Helm. Familiarity with messaging systems like RabbitMQ or Kafka. Comfortable using Git and CI/CD tooling in collaborative workflows. Working knowledge of frontend technologies, especially React and/or Next.js . Basic understanding of cloud platforms (GCP preferred). WHAT SETS YOU ARART Experience building scalable, secure Login-as-a-Service platforms. Deep knowledge of OAuth2, OIDC, SAML, JWT, and session/token management. Strong grasp of social login, SSO, and federated identity. Designed multi-tenant identity systems with isolation and configurability. Delivered developer-friendly APIs, SDKs, and integration documentation. Strong English communicator, for both technical and non-technical topics. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

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: 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.

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: Colombia; Argentina; Brazil; Mexico; Peru; Venezuela, Bolivarian Republic of 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 startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a Senior Meta Ads Specialist with 4–5+ years of hands-on experience managing and scaling high-performing Facebook and Instagram advertising campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing substantial advertising budgets, optimizing campaigns for profitability, and driving measurable business growth. You should be highly skilled in Meta Ads Manager, audience targeting, creative testing, conversion tracking, and scaling strategies. This is an exciting opportunity to take ownership of paid social campaigns for a growing international business and make a direct impact on revenue and customer acquisition. Key Responsibilities Campaign Management: Plan, launch, manage, and optimize Meta advertising campaigns across Facebook and Instagram. Performance Optimization: Continuously improve ROAS, CPA, CPL, CTR, and conversion rates to maximize advertising profitability. Budget Management: Manage and scale significant monthly advertising budgets while maintaining strong performance. Creative Strategy: Collaborate with creative teams to develop high-converting ad creatives, messaging, and testing frameworks. Audience Targeting: Build and refine prospecting, retargeting, and lookalike audience strategies. Tracking & Attribution: Implement and troubleshoot Meta Pixel, Conversions API (CAPI), and conversion tracking. A/B Testing: Execute structured experiments across creatives, audiences, placements, and campaign strategies. Analytics & Reporting: Monitor performance, identify opportunities, and provide actionable insights and recommendations. Scaling Strategy: Develop and execute strategies to scale winning campaigns while maintaining efficiency. Cross-Functional Collaboration: Work closely with marketing, creative, and leadership teams to align paid media campaigns with business objectives. Requirements 4–5+ years of proven experience managing Meta Ads (Facebook and Instagram) campaigns. Demonstrated success in scaling paid social campaigns and delivering measurable ROI. Advanced proficiency in Meta Ads Manager and Meta Business Suite. Strong understanding of campaign structures, bidding strategies, audience segmentation, and conversion optimization. Experience managing substantial advertising budgets with clear performance accountability. Strong knowledge of Meta Pixel, Conversions API, attribution models, and event tracking. Experience developing creative testing strategies and identifying winning ad concepts. Strong analytical skills with the ability to interpret campaign data and make informed optimization decisions. Familiarity with Google Analytics 4 (GA4), Google Tag Manager, and reporting dashboards. Excellent English communication skills, both written and verbal. Ability to work independently, take ownership of results, and thrive in a fast-paced remote environment. Nice to Have Experience managing Meta Ads for eCommerce, DTC brands, lead generation businesses, or digital marketing agencies. Experience with Shopify, landing page optimization, and conversion rate optimization (CRO). Familiarity with third-party attribution platforms such as Triple Whale, Hyros, or Northbeam. Experience managing six-figure monthly advertising budgets. Meta Blueprint certifications. Experience mentoring junior media buyers or leading paid social strategy. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

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