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Location: Tokyo Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineers are former practising lawyers who bridge customers, sales, and product to support all aspects of our sales strategy and product development. As trusted advisors to the lawyers they work with, they lead sharp discovery and tailored product demonstrations, translating real legal work into Harvey solutions that provide clear value for lawyers. As Harvey’s first Legal Engineer in Japan, this role is a rare chance to pioneer Harvey’s presence in one of the world’s most sophisticated legal markets. As a strategic partner to Japanese law firms and in-house teams, you will help lawyers do higher-quality work faster and with more confidence using Harvey, and you will thrive in ambiguity while doing it. WHAT YOU’LL DO - Work directly with lawyers at current and prospective customers in Japan to uncover workflow pain points, recommend solutions, and show how Harvey fits into real legal work. - Serve as the voice of the customer, translating feedback and legal workflow insights, including those specific to Japanese legal practice and Japanese-language needs, into concrete, lawyer-ready product direction. - Partner closely with product, engineering, sales, and marketing to shape Harvey’s roadmap and ensure the product evolves in ways lawyers trust and adopt. - Build and refine product demonstrations, workflows, and use cases in Japanese and English that reflect how Japanese legal teams actually work, including how AI is changing that work. - Introduce new capabilities in a way that’s tailored, credible, and compelling for each customer, continuously raising the bar for how Harvey is deployed. - Provide competitive and market intelligence on the Japanese and wider APAC legal tech landscape. - Lay the foundation for Harvey’s presence in Japan and strengthen its reputation across APAC as a credible, substantive, and forward-looking AI partner to the legal industry. WHAT YOU HAVE You move confidently through uncertainty, operate at speed, and ship solutions that work, iterating quickly with lawyers, sales teams, and product partners to help Harvey and its customers win. You bring deep curiosity about AI’s potential to transform legal work, a bias towards action, and the creativity to solve problems nobody has cracked yet. - Based in Tokyo and eligible to work in Japan. - Qualified Japanese lawyer (弁護士) registered with the Japan Federation of Bar Associations (日本弁護士連合会). - At least 3 years of experience as a qualified lawyer at a top-tier Japanese law firm and/or in-house, with strong exposure to complex legal workflows and client expectations. - Fluency in Japanese and English, with the ability to operate seamlessly across both in professional settings. - Demonstrated ability to exercise sound judgment and make confident, well-reasoned recommendations. - Ability to operate across legal, product, and sales contexts, translating between stakeholders with clarity and precision. - Executive presence and relationship-building skills, with comfort engaging partners, senior associates, in-house counsel, and legal leadership. - Sales, customer-facing, or law firm business development experience is a plus, particularly where you’ve helped shape solutions rather than just present them. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-EL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Warsaw, Poland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At DoorDash International, we're building the future of local commerce across some of Europe's leading delivery businesses, including Wolt and Deliveroo. Our teams work across brands and markets to identify opportunities, build scalable solutions and turn global capabilities into meaningful local impact. Why Join Us? At DoorDash International, execution drives impact. We combine the scale and technology of a global platform with a deep understanding of our local markets. You'll work across Wolt and Deliveroo, partnering with teams throughout EMEA markets to solve complex business problems and scale what works. If you're passionate about using data to identify growth opportunities, turning insights into action and working across markets to drive measurable business impact, this is an opportunity to help shape how we grow our Restaurant business through better menus. What you'll be doing We are seeking a Menu Growth Senior Specialist to support Restaurant growth by improving restaurant Menu Performance and driving adoption of menu-related growth initiatives across EMEA. Menus are a critical part of the customer and merchant experience. Their quality, completeness and use of growth features can influence customer choice, basket size and overall merchant performance. You will work closely with the Menu Growth Manager to analyze menu performance, identify opportunities and translate insights into concrete initiatives. You will take end-to-end ownership of defined workstreams, such as Menu Completeness,  and work with local Account Management and Merchant Operations teams to execute them across markets and measure their impact. This is a hands-on Strategy & Operations role combining analytics, project management and stakeholder collaboration. You will independently drive your initiatives from analysis through execution and performance tracking, while partnering with the Menu Growth Manager and Consumer Teams on broader strategy and prioritization. Day-to-day in this role you'll: Menu Growth Analysis (~30%) Analyze consumer needs around menu, merchant and business performance to identify gaps and growth opportunities. Use SQL, Snowflake, spreadsheets and dashboards to investigate performance and support data-driven decision-making. Work with the Menu Growth Manager to turn insights and hypotheses into concrete initiatives. Track key metrics including and identify markets or merchant segments requiring additional focus. Support impact measurement and experimentation to understand which interventions improve merchant and business outcomes. Prepare clear analyses and recommendations that help EMEA and local teams make informed decisions. Initiative Execution (~45%) Own defined Menu Growth initiatives end-to-end, from planning through market rollout and performance tracking. Support the rollout and adoption of EMEA initiatives Translate initiatives into clear execution plans, timelines, materials and actions for participating markets. Track progress against agreed targets and proactively identify execution gaps or blockers. Coordinate follow-ups with local teams and support them in implementing agreed actions. Measure results, document learnings and recommend improvements together with the Menu Growth Manager. Help scale successful approaches and best practices across EMEA markets. Market & Stakeholder Collaboration (~25%) Work closely with local Account Management and Merchant Operations teams and their leaders across EMEA. Support markets in understanding menu performance gaps and translating insights into concrete actions. Build strong relationships with local stakeholders to drive adoption and execution of Menu Growth initiatives. Gather structured market feedback and use it to improve future initiatives. Coordinate with Analytics and Product when initiatives require additional data, insights or tooling support. Share successful approaches and learnings across markets to accelerate adoption and reduce duplicated effort. Our humble expectations 2–4 years of experience in Strategy & Operations, Business Operations, Marketplace/Commercial Operations or a comparable analytical role. Strong analytical and structured problem-solving skills, with the ability to turn data into actionable recommendations. Comfortable working with large datasets, SQL/Snowflake, Excel/Google Sheets and BI/dashboarding tools. Familiarity with hypothesis-driven problem solving, experimentation and A/B testing principles. First project management experience, with the ability to independently drive defined initiatives from analysis through execution. A commercial mindset and curiosity about how merchant and customer behavior translates into business growth. Strong stakeholder-management skills and a proactive, action-oriented approach to driving execution across teams and markets. Fluent business English; experience in marketplaces, food delivery, e-commerce or high-growth tech is a plus. What we offer A fast-growing tech company with lots of career opportunities, both locally and internationally; Employee Assistance Programme - therapy and wellbeing; Employee discount on all Wolt orders; Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today! The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: 10 002 zł — 12 502 zł PLN Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: San Francisco, CA | 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's global order-to-cash (O2C) function is scaling faster than the processes and systems behind it, across direct enterprise contracts, consumption-based commercial models, and third-party cloud marketplaces. We're looking for a Director, Order-to-Cash Assurance to make sure every order is priced, billed, collected, and recorded correctly, and that we can prove it. You'll be embedded in the O2C Transformation team, working closely with Order Management, AR & Collections, Revenue Accounting, Billing Engineering, and Go-to-Market. You'll design and run the pricing audits and accuracy measures that show us where we leak revenue or create rework, then fix the root cause at the source. You'll be the compliance advocate for global O2C, helping the business find the compliant way to yes, and often improving a process by removing steps rather than adding them. You'll thrive here if you treat accuracy and compliance as design problems and as a service to the business. You are firm when the risk is real, flexible when it isn't, and able to explain the difference. If you're energized by ambiguous, high-consequence operational problems at a company at the forefront of AI development, we'd like to hear from you. Key responsibilities Design and run recurring audit programs across the O2C lifecycle, including pricing audits, contract-to-invoice accuracy, credits, refunds and concessions, and cash application Define accuracy metrics with baselines and targets, such as pricing and invoice error rates, first-pass yield, rework volume, and revenue leakage, and report them in a way teams can act on Trace findings to root cause and work with the owning team on the fix, whether in process, system configuration, or contract and pricing standards Move measurement from periodic sampling to continuous, system-driven monitoring as volume grows Partner with Order Management and AR operations as their quality partner, and help GTM, Deal Desk, Sales Operations, and Product understand what accurate and compliant looks like through clear published guidance that shortens the path to yes Review new processes, process changes, commercial models, and exceptions against policy and control requirements, with clear decision rights, service levels, and rationale that stay consistent across regions, entities, and channels Build compliance into new products, channels, commercial models, and regions by joining at intake rather than at the end Own O2C policies, control ownership, and segregation of duties Partner with Internal Audit, external auditors, Revenue Accounting, Tax, and Legal so audit cycles run smoothly, and resolve findings at the root cause Perform independent review activities, including month-end close reviews, so operations teams can focus on execution while independence is preserved Create reusable, pre-approved process patterns and guardrails so teams can move quickly without a bespoke review every time, harmonizing globally and localizing only where statute requires Work with Billing Engineering, GTM Systems, and Business Technology to build controls and accuracy checks into the systems themselves, so quality scales with volume Deploy AI and automation for exception detection, reconciliation, anomaly detection, and evidence collection Minimum qualifications Hands-on experience designing and running audit, quality, or revenue assurance programs within order-to-cash, billing operations, or quote-to-cash Working knowledge of revenue recognition (ASC 606) and experience partnering with internal and external auditors Experience with contracting systems, billing platforms, or ERP systems (for example Salesforce, Stripe, or Workday Financials) Proficiency with SQL or similar tools for analyzing and testing transactional data Experience using automation or AI for monitoring, testing, or reporting Preferred qualifications 10+ years of progressive experience in revenue operations, billing operations, revenue assurance, finance operations, or internal controls within order-to-cash at a public company A track record of simplifying processes, with concrete examples of steps or controls you removed while improving accuracy or strengthening the control environment A degree in Accounting, Finance, Business, Engineering, or a related field CPA, CIA, CISA, or CRISC certification, or Lean Six Sigma or PMP certification Experience building or scaling a SOX program, including readiness for public-company reporting requirements Experience with global, multi-entity operations, including statutory invoicing and tax considerations Experience serving both B2C and B2B customers, especially with consumption-based and subscription billing models through to collections Experience working with go-to-market, deal desk, and revenue operations organizations Strong cross-functional influence and clear communication about issues and decisions Understanding of AI industry business models and enterprise customer needs 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: $230,000 — $300,000 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: Λευκωσία, Nicosia, Cyprus About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role Our Passenger team builds the app our clients use every day and makes journey booking easy and fast: from pickup and boarding, including airport pickups, to concierge requests and changes on the go. We’re looking for a Senior iOS Engineer to join a team that owns its product areas end to end and focuses on what matters: clean, modular, well-tested code and polished, responsive interfaces, shipped continuously. Our apps are written in Swift. The stack includes UIKit, The Composable Architecture, Swift Concurrency and Combine, and a modular codebase built with Tuist. Releases are automated with GitHub Actions and Fastlane. Our interview process includes a recruiter screen, an iOS platform interview and a live coding session in Swift. Senior candidates also complete a structured review of past experience and achievements. Responsibilities Build and ship new features in our iOS app in Swift, owning them from technical design to release and further development. Design clean, modular and testable code with clear responsibilities and extension points, and help evolve the app architecture. Build polished, responsive interfaces and animations that match our design standards. Work closely with product managers, designers, backend engineers and QA to turn product requirements into concrete technical solutions. Keep the app fast and reliable: improve performance, stability, test coverage and production monitoring. Requirements 5+ years of professional native iOS development, including recent roles, building user-facing apps used in production. In-depth knowledge Swift, ARC, concurrency (GCD and Swift Concurrency) and the UIKit rendering and layout model Ability to structure a solution, choose the right level of abstraction and clearly explain trade-offs. Intermediate (B1) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. What We Offer Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Daily Lunch allowance Latest-generation MacBook Pro and 4k display Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a Technical Product Marketing Manager who can pick up any Baseten product and explain it clearly to the people who buy it. Baseten sells dedicated inference, Model APIs, training and post-training, and the enterprise platform that ties them together. The work behind each one is the same: understand how the product works, know where it stands against the alternatives, and write about it well enough that an ML engineer trusts it and a buyer acts on it. We’re hiring for this role across multiple product lines. You’ll work on whichever launch, narrative, or competitive gap matters most at the time, partnering closely with Product, Engineering, Sales, and the rest of product marketing. It’s a good fit for someone who ramps on technical products quickly and wants to be the person who figures out the story. WHAT YOU’LL DO Positioning & Technical Narrative - Own positioning and messaging for Baseten products across inference, Model APIs, training and post-training, and the core platform, written for ML engineers, platform teams, and executive buyers. - Work closely with Product and Engineering to understand architecture, tradeoffs, and roadmap, and make sure every technical claim is accurate and backed by how the product actually behaves. - Keep product-level messaging consistent with Baseten’s platform narrative so each product story supports the others. - Write messaging that is technically credible without getting lost in implementation detail. Launches & Go-to-Market - Build and run launch plans for new products and major capabilities, from internal enablement through external announcement. - Decide what deserves a full launch and what should ship through docs, sales enablement, or targeted customer outreach. - Create launch assets including messaging briefs, landing pages, technical blog posts, demo storylines, sales decks, one-pagers, and FAQs. - Partner with Demand Gen, Sales, Solutions, and Customer Marketing to turn product capabilities into campaigns and deal support. Competitive & Market Insight - Track the competitive landscape across inference providers, model API companies, hyperscalers, and internal DIY platforms, including pricing, packaging, launches, and messaging. - Turn that analysis into a clear point of view on where Baseten wins and loses, and use it to sharpen positioning. - Talk to customers and sellers to understand buying criteria, objections, and deal blockers, and bring what you learn back to Product and Marketing as concrete recommendations. Sales Enablement - Build battlecards, competitive talk tracks, objection-handling guides, and product training that sellers actually use. - Work with Sales and Solutions to find enablement gaps and close them. WHAT WE’RE LOOKING FOR - 4+ years in product marketing, technical marketing, or developer marketing, with at least 2 of those years marketing to developers or technical buyers at an infrastructure, developer tools, cloud, data, or AI company. - Strong writing. You can take a dense technical topic and make it clear without oversimplifying it, and you have samples to show. - Technical fluency. You’re comfortable reading docs, asking engineers specific questions, and getting up to speed on concepts like inference, autoscaling, fine-tuning, and open- vs. closed-weight models. - Hands-on competitive analysis experience: you’ve compared products in depth, formed a view, and used it to change positioning, messaging, or how a deal was sold. - A track record of learning unfamiliar products and markets quickly and moving between them. - Experience launching technical products or capabilities, including deciding what to launch and how. - Comfortable owning both strategy and execution: landing pages, decks, one-pagers, and written content, not just frameworks. - Experience at a fast-moving startup, working with multiple stakeholders and shifting priorities. NICE TO HAVE - Experience with AI/ML infrastructure, inference, model serving, or model training and post-training. - Experience marketing to ML engineers, platform engineers, infrastructure leaders, or technical executives. - Experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms. - Time in an adjacent role such as solutions engineering, product management, developer relations, technical writing, or industry or equity research covering AI or infrastructure. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Milan, Italy About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Italy. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help public institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the public sector in Italy. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Italy A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases Practical command of Italian public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities Bilingual proficiency in Italian and English, with excellent written and spoken communication in both A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions Nice to have: familiarity with the security and compliance frameworks that apply to technology purchasing in the Italian public sector. Il ruolo In qualità di Enterprise Account Executive in Anthropic, entrerai a far parte del team fondatore impegnato in prima linea nel portare la nostra API di produttività basata su IA all'avanguardia e le nostre soluzioni SaaS alle organizzazioni del settore pubblico in Italia. Promuoverai l'adozione di un'IA di frontiera e sicura concludendo accordi strategici con ministeri e amministrazioni centrali, amministrazioni regionali e locali ed enti pubblici. Metterai la tua esperienza di vendita consulenziale nel settore pubblico al servizio della crescita dei ricavi, diventando un partner di fiducia per gli interlocutori del settore e aiutandoli a integrare e adottare l'IA e a scoprirne tutte le potenzialità nei servizi ai cittadini, nell'amministrazione e nella ricerca. In collaborazione con i team GTM, Prodotto e Marketing, perfezionerai costantemente la nostra proposta di valore, la nostra metodologia di vendita e il nostro posizionamento, perché siano rilevanti per chi prende le decisioni nel settore pubblico. Il profilo ideale ha la passione per lo sviluppo di nuovi segmenti di mercato, per l'individuazione delle opportunità ad alto potenziale e per l'attuazione delle strategie necessarie a coglierle. Favorendo la diffusione dei prodotti emergenti di Anthropic, aiuterai le istituzioni pubbliche ad acquisire nuove capacità, contribuendo al tempo stesso allo sviluppo etico dell'IA. Responsabilità: Acquisire nuovi clienti e generare ricavi per Anthropic nel settore pubblico in Italia. Orientarti all'interno di istituzioni pubbliche complesse per raggiungere le figure decisionali chiave, far conoscere i nostri servizi e aiutarle ad avere successo con Anthropic. Sarai responsabile dell'intero ciclo di vendita, dal primo contatto alla chiusura. Definire e attuare strategie di vendita innovative, adatte ai cicli degli appalti pubblici e ai processi di bilancio, comprese gare, accordi quadro e canali di vendita tramite partner o rivenditori, per raggiungere e superare gli obiettivi di fatturato. Analizzare lo scenario, le tendenze e le dinamiche del settore pubblico per tradurre i piani strategici in attività e campagne commerciali mirate. Guidare l'espansione sul mercato individuando nuovi casi d'uso all'interno di ministeri, enti e uffici amministrativi. Collaborare in modo trasversale per differenziare la nostra offerta per le applicazioni del settore pubblico. Muoverti in ecosistemi complessi di interlocutori del settore pubblico (dirigenti apicali, responsabili della trasformazione digitale e della tecnologia, direzioni IT e uffici acquisti) per costruire consenso. Guidare il confronto con i clienti su sovranità dei dati, sicurezza e conformità normativa, lavorando con i team Sicurezza, Legale e Prodotto sul modo in cui rispondiamo a questi requisiti. Contribuire alla roadmap e alle funzionalità di prodotto raccogliendo il feedback di chi utilizza le nostre soluzioni nel settore pubblico e portandone all'interno le esigenze. Fornire indicazioni che rafforzino la nostra proposta di valore per le istituzioni pubbliche. Perfezionare costantemente la metodologia di vendita per il settore pubblico, integrando quanto appreso in playbook, modelli e buone pratiche. Individuare miglioramenti di processo che ottimizzino la produttività e la coerenza commerciale. Potresti essere la persona giusta se hai: Almeno 7 anni di esperienza nella vendita B2B (SaaS, soluzioni API o tecnologie emergenti), compresa la vendita a organizzazioni del settore pubblico in Italia Una comprovata esperienza nella gestione di cicli di vendita complessi all'interno di istituzioni pubbliche e nella conclusione di accordi strategici, fondata sulla comprensione sia dei requisiti tecnici sia dei casi d'uso del settore pubblico Una padronanza concreta degli appalti pubblici italiani: gare, accordi quadro, centrali di committenza e canali di vendita tramite partner o rivenditori Una capacità dimostrata di muoverti nelle strutture organizzative del settore pubblico, costruendo consenso tra interlocutori diversi, tra cui dirigenti apicali, responsabili della trasformazione digitale e della tecnologia e direzioni IT Un'esperienza comprovata nel superare gli obiettivi di fatturato grazie a una gestione efficace di una pipeline e di un processo di vendita in continua evoluzione Eccellenti capacità di comunicazione e la sicurezza necessaria per presentare a interlocutori diversi del settore pubblico, dai team tecnici ai dirigenti apicali Una conoscenza approfondita dei cicli di acquisto, dei processi decisionali e delle principali criticità del settore pubblico, compresi i requisiti di sovranità dei dati, sicurezza e conformità normativa Un approccio strategico e analitico al mercato del settore pubblico, unito a un'esecuzione tattica e creativa per cogliere le opportunità Padronanza dell'italiano e dell'inglese a livello bilingue, con un'eccellente comunicazione scritta e orale in entrambe le lingue Passione per i sistemi di IA avanzati e le loro applicazioni, o esperienza diretta con essi. Ti sta a cuore che i sistemi di IA di frontiera siano sviluppati in modo sicuro ed etico per l'uso da parte delle istituzioni pubbliche. Costituisce titolo preferenziale: familiarità con i quadri di sicurezza e conformità normativa applicabili agli acquisti di tecnologia nel settore pubblico italiano. 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: Madrid, Spain About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Spain. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help public institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the public sector in Spain. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Spain A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases Practical command of Spanish public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities Bilingual proficiency in Spanish and English, with excellent written and spoken communication in both A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions Nice to have: familiarity with the security and compliance frameworks that apply to technology purchasing in the Spanish public sector. Acerca del puesto Como Enterprise Account Executive en Anthropic, te incorporarás al equipo fundacional que está a la vanguardia de la introducción de nuestra API de productividad con IA de última generación y de nuestras soluciones SaaS en las organizaciones del sector público en España. Impulsarás la adopción de una IA de vanguardia y segura mediante acuerdos estratégicos con ministerios de la Administración General del Estado, administraciones autonómicas y locales y organismos públicos. Pondrás tu experiencia en venta consultiva en el sector público al servicio del crecimiento de los ingresos y te convertirás en un socio de confianza para los interlocutores del sector, ayudándoles a integrar y desplegar la IA y a descubrir todo su potencial en los servicios a la ciudadanía, la administración y la investigación. En colaboración con los equipos de GTM, Producto y Marketing, perfeccionarás de forma continua nuestra propuesta de valor, nuestra metodología de ventas y nuestro posicionamiento para que conecten con quienes toman las decisiones en el sector público. El perfil ideal siente pasión por desarrollar nuevos segmentos de mercado, identificar oportunidades de alto potencial y ejecutar las estrategias que permiten aprovecharlas. Al impulsar el despliegue de los productos emergentes de Anthropic, ayudarás a las instituciones públicas a adquirir nuevas capacidades y contribuirás al desarrollo ético de la IA. Responsabilidades: Conseguir nuevos clientes y generar ingresos para Anthropic en el sector público en España. Orientarte en instituciones públicas complejas para llegar a las personas clave en la toma de decisiones, darles a conocer nuestros servicios y ayudarles a tener éxito con Anthropic. Serás responsable de todo el ciclo de venta, desde el primer contacto hasta el cierre. Diseñar y ejecutar estrategias comerciales innovadoras adaptadas a los ciclos de contratación pública y a los procesos presupuestarios, incluidas las licitaciones, los acuerdos marco y las vías de venta a través de partners o revendedores, para alcanzar y superar los objetivos de ingresos. Analizar el panorama, las tendencias y la dinámica del sector público para convertir los planes estratégicos en acciones y campañas comerciales específicas. Liderar la expansión en el mercado identificando nuevos casos de uso en ministerios, organismos y departamentos administrativos. Colaborar de forma transversal para diferenciar nuestra oferta en las aplicaciones del sector público. Desenvolverte en ecosistemas complejos de interlocutores del sector público (altos cargos, responsables de transformación digital y tecnología, departamentos de TI y órganos de contratación) para generar consenso. Liderar las conversaciones con los clientes sobre soberanía del dato, seguridad y cumplimiento normativo, trabajando con los equipos de Seguridad, Legal y Producto en la forma en que respondemos a esos requisitos. Contribuir a la hoja de ruta y a las funcionalidades del producto recogiendo las opiniones de las personas usuarias del sector público y trasladando sus necesidades. Aportar ideas que refuercen nuestra propuesta de valor para las instituciones públicas. Perfeccionar de forma continua la metodología de ventas para el sector público incorporando lo aprendido a playbooks, plantillas y buenas prácticas. Identificar mejoras de proceso que optimicen la productividad y la coherencia comerciales. Este puesto puede encajar contigo si tienes: Al menos 7 años de experiencia en ventas B2B (SaaS, soluciones API o tecnologías emergentes), incluida la venta a organizaciones del sector público en España Una trayectoria demostrada en la gestión de ciclos de venta complejos en instituciones públicas y en el cierre de acuerdos estratégicos, basada en la comprensión tanto de los requisitos técnicos como de los casos de uso del sector público Un dominio práctico de la contratación pública española: licitaciones, acuerdos marco, centrales de compras y vías de venta a través de partners o revendedores Capacidad demostrada para desenvolverte en las estructuras organizativas del sector público y generar consenso entre interlocutores diversos, entre ellos altos cargos, responsables de transformación digital y tecnología y departamentos de TI Experiencia contrastada superando objetivos de ingresos gracias a una gestión eficaz de un pipeline y un proceso de venta en constante evolución Excelentes habilidades de comunicación y soltura para presentar ante públicos diversos del sector público, desde equipos técnicos hasta altos cargos Un conocimiento profundo de los ciclos de compra, los procesos de decisión y los principales retos del sector público, incluidos los requisitos de soberanía del dato, seguridad y cumplimiento normativo Un enfoque estratégico y analítico del mercado del sector público, combinado con una ejecución táctica y creativa para aprovechar las oportunidades Nivel bilingüe de español e inglés, con una excelente comunicación oral y escrita en ambos idiomas Pasión por los sistemas avanzados de IA y sus aplicaciones, o experiencia con ellos. Te importa de verdad que los sistemas de IA de vanguardia se desarrollen de forma segura y ética para su uso por parte de las instituciones públicas. Se valorará: familiaridad con los marcos de seguridad y cumplimiento normativo aplicables a la contratación de tecnología en el sector público español. 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: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 📈 FINANCE COMMUNITY AT ALAN Finance & Strategy exists to enable better decisions, faster, at every level of the company, in a regulated, diverse and ever changing business. We succeed when ambitious goals become credible plans, when strategic bets are grounded in financial reality, and when the entire company (not just Finance!) speaks the language of performance. We set the right ambition, we monitor whether we're getting there, and we raise our hand when something needs to change. We are not record-keepers. We are builders, partners, and challengers. We are looking for people who want to build, support decision making processes and challenge the status quo.   The core responsibilities of the Finance & Strategy community are: - Strategy & Planning: steers Alan's financial performance through business planning, financial and operational monitoring, investor relations and financing - Financial Reporting: is the steward of Alan's financial truth, ensuring that we produce accurate, timely financial data. It owns the reporting to all key stakeholders (board, leadership team, tax authorities, and regulators like the ACPR) and ensures that financial data is the single, uncontested source of truth for the company's performance. - Finance Data and Operations: Build and own the core finance data and tooling infrastructure (models, pipelines, and concepts that connect business operations to financial reality). This is where Finance meets product thinking - Functional poles with end-to-end ownership of their domain: Treasury, Procurement, M&A ⭐️ YOUR MISSION ⭐️ We are looking for a rigorous and hands-on accountant to help shape and run Alan's closing production process. You will be part of our Financial Reporting area, focusing on Financial production. This area ensures that every number in our books is accurate, timely, and trustworthy, and serves as the source of truth for all financial decisions across the company. Your role will be twofold: - Run our key accounting processes: Lead monthly, quarterly, and year-end closings - Ensure a feedback loop to drive process improvements, surface anomalies, flag data gaps, and actively contribute to making the closing faster, more automated, and more reliable over time. You will be a key partner to our Financial Operations and Data teams.   ⭐️ WHAT YOU WILL DO ⭐️ - Month-end close: own the end-to-end closing cycle across multiple legal entities; push pre-formatted journal entries into NetSuite, ensure completeness and accuracy, and deliver on schedule every month (target: J+5) - Accounting review: perform a thorough first-level review of balance sheet and P&L accounts at each close; identify unusual movements, resolve discrepancies, and ensure the overall reliability of the financial statements; build processes (routines, verification files, control procedures) - Account and bank reconciliation: maintain clean, up-to-date reconciliations across all balance sheet accounts and entities on a daily basis; - Contribute to finance transformation and system improvements: identify manual or repetitive tasks and collaborate with Financial Data to drive automation and reduce closing friction over time ; translate new business streams and P&L lines into accounting (acting as an interface between business teams and Finance) - Tax and statutory compliance: prepare and file VAT returns, URSSAF declarations, and other statutory filings accurately and on time; coordinate with external advisors where needed ⭐️ QUALIFICATIONS ⭐️ Experience and technical skills - 4 to 6 years of accounting experience minimum, in an accounting firm or in-house at a fast-paced startup/scale-up - Languages: full fluency in French and English - Deep command of French accounting standards: VAT rules, URSSAF declarations, bank reconciliation, general ledger management, and month-end close processes - Proven ability to own a closing cycle end-to-end, including identifying and resolving issues independently - Hands-on experience with an ERP (NetSuite is a strong plus) - Comfortable with spreadsheets (Google Sheets or Excel); familiarity with modern accounting tools (Pennylane, Payflows, etc.) is a plus   Mindset and soft skills - Reliable and detail-oriented: you deliver on time, every time, and keep a clean audit trail - Autonomous and self-directed: you don't wait to be told what to do next; you manage your priorities, make decisions independently, and know how to take a step back to distinguish what truly matters from day-to-day noise - Process-driven: you naturally question how things are done and come with concrete ideas to improve them - Curious about automation and tooling; comfortable working in a data-driven environment - Clear communicator: you know when to move independently and when to escalate For this role we are looking to hire within the B0-C0 level range https://alan.com/en/careers/a/salary-equity.   🌍 HOW WE WORK - Location: You must be legally eligible to work from France. - Remote work: We offer remote work flexibility, but we value in-person collaboration   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: London, England, United Kingdom Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn’t work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We’re headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we’re just getting started. Join us as we build the future of autonomous infrastructure. About the role Kubernetes and cloud spend are two of the fastest-growing line items in enterprise IT, and most companies are still managing both by hand. As an Account Executive at Cast AI, you'll sell into that gap: a platform that automates decisions engineering teams are currently making manually, at a company that just crossed unicorn status and is scaling its go-to-market fast. You'll own the full sales cycle for a growing book of enterprise accounts, working a market with real urgency behind it and a product with proven traction across 2,100+ companies, from Akamai to BMW to Cisco. What'll You Own? Drive outbound pipeline generation as a core part of the role, not an afterthought Run Opportunity Assessments to identify and qualify viable leads Lead Value Discovery conversations that align Cast AI's platform with each client's infrastructure and cost challenges Demonstrate the concrete value of Cast AI's offering to technical and business stakeholders Drive Value Delivery by working closely with implementation teams and measuring results against the business case Identify key contacts within target accounts, understand their needs, and tailor proposals accordingly Negotiate and close deals while building toward long-term customer satisfaction, not just a signed contract What'll You Need? Proven experience running a full enterprise sales cycle as an Account Executive, from Opportunity Assessment through Value Delivery A demonstrated track record selling cloud SaaS in Cloud Infrastructure, Cloud Cost Control, Cloud Security, or DevOps tools, or a closely adjacent space Hands-on experience running deals with the MEDDIC methodology A history of successful negotiation and closing, with a genuine focus on long-term customer outcomes A strong outbound orientation: you build your own pipeline with consistency (at least weekly) rather than relying solely on inbound (Pipeline Generation discipline) What Makes You Stand Out? Experience with Kubernetes, the broader sales lifecycle, and the cloud space specifically What’s in it for you Flexible, remote-first global environment Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options Learning budget for professional and personal development, including access to international conferences and courses Team-building budget and company events to connect with your colleagues Equipment budget to ensure you have everything you need Extra days off to help maintain a healthy work-life balance Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit.

Location: San Francisco, CA | 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 A connected Claude is the difference between a general-purpose chatbot and a real coworker. We're building the connected enterprise on three fronts: zero-touch activation, a thriving connector ecosystem, and an enterprise control plane that lets organizations adopt with confidence. We own the path from discovering a connector to using it every day: default and suggested connectors, one-click setup, connector requests, and the identity and admin pieces that remove setup friction for a whole organization at once. You'll be a technical leader who owns activation end to end, from the moment someone sees a connector to their first successful use of it. You'll also help to shape the foundations that help the connector ecosystem grow, and the governance controls that make it safe at enterprise scale. You'll partner closely with product, design and data science, and carry real ownership over what we ship next. What you'll do Own connector activation end to end: measure the funnel from discovery to first use to habit, find the biggest drop-offs, and fix them Build and run experiments on default connectors, in-product suggestions, connector requests and onboarding flows Make setup close to zero-touch, building on open standards like Cross App Access (XAA) and the MCP authorization spec so one approval can turn a connector on for everyone Improve the connectors people reach for most, like Microsoft 365 and Google Workspace, so the first experience works and keeps working Lay platform foundations for the connector ecosystem: reusable building blocks that make every new connector easier to launch, discover and activate Build out the enterprise control plane: admin controls and governance (domain restrictions, labels, permissions) that help security teams say yes faster instead of blocking rollout Partner with product, design, data science and sales to turn usage data and customer feedback into priorities Set technical direction and standards for the team, mentor other engineers, and lead with influence rather than authority Minimum Qualifications Have shipped growth or activation work: onboarding flows, funnels, experimentation, and measuring what actually moves usage Are comfortable with authorization and identity (OAuth 2.0, OIDC, SSO), enough to make setup flows simple without cutting corners Have built on large platform APIs (Microsoft Graph, Google Workspace or similar) and can debug failures on both sides of the boundary Have built platform or ecosystem surfaces that other teams or developers rely on, and care about durable, well-designed APIs Understand what enterprise admins and security teams need from policy, permissions and governance at scale Use data and user research to decide what to build, and can explain the tradeoffs to product and design partners Drive cross-team and cross-company alignment to ship, with influence over authority Preferred Qualifications Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Contributed to or implemented emerging auth standards (IETF OAuth drafts, MCP authorization) Experience with data governance or information protection (sensitivity labels, DLP) Built admin consoles or policy engines for multi-tenant SaaS Run growth experiments on activation funnels Built AI products or agent tool integrations (MCP) Helped grow a developer or partner ecosystem around a platform 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: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's compute runs on a growing global portfolio of data centers built with development partners.  As a Senior Field Engineer on the Data Center Design and Engineering team, you will work side by side with developers, general contractors and engineers of record to resolve technical issues on site and speed up construction. You will spend most of your time on active sites, acting as our team's eyes, voice and technical judgment in the field. You will spot problems first, get the right people moving, and stay with each issue until it is closed. You don't need a data center background. We care more about whether you have delivered complex industrial projects from the field and can get contractors and partners to act when you have no formal authority over them. What you'll do Be our engineering presence on site. You will walk installed work against the approved design and build working relationships with developers, general contractors, engineers of record, vendors and commissioning teams. You will hold design acceptance on our team's behalf, deciding whether installed work meets the design. When field conditions and drawings disagree, you will be the first call. You will settle what you can on the spot and bring in the right discipline engineer for the rest. More than 50% of your working time will be at project sites, often with overnight travel across multiple sites. The rest will be remote from your home base. Get issues closed. You will keep one prioritized list of open engineering issues for your sites, each with an owner and a date. You will follow up in person, challenge dates that don't hold up, and escalate early with a clear recommendation when something is stuck. Find out why things fail. When equipment, an installation or a test fails, you will gather the evidence, test the first explanation, and trace the failure to its underlying cause. You will confirm that the fix works and check whether other sites carry the same risk. Clear the path to commissioning and handover. You will check the interfaces between power, cooling, controls and structure before they surface as test failures. You will drive RFIs, deviations and field changes to decisions, so that open engineering questions don't hold up the crews. Bring the field back into the design. You will turn recurring site problems into changes to our designs, standards and audit checklists. Each project should make the next one easier to deliver. What this role is not You won't manage construction crews or direct contractors' means and methods; those stay with our construction delivery partners. You will work with our discipline engineers and hold the field view, rather than produce design documents. You may be a good fit if you Have spent years on active project sites in energy, power, heavy industrial, data center or similar environments, as an engineer, project manager, or construction or commissioning lead Can read drawings, single-line diagrams, P&IDs, specifications and schedules well enough to see where they disagree with what's been installed Can give specific examples of persuading contractors, vendors or partners who didn't report to you to change course Hold your position under pressure, back it with evidence, deliver bad news early, and change your mind when the facts change Have led structured failure investigations, using a method such as 5 Whys or 8D, and seen the corrective actions through Write short, factual reports that a busy reader can act on Treat safety as your own job, and will stop work that isn't safe Have a degree in engineering, construction management or a related field, or equivalent practical experience Strong candidates may also have Experience as an owner's representative overseeing an EPC or general contractor Commissioning, startup or system turnover experience Worked in LNG, refining, offshore, power generation, semiconductor or naval environments An electrical, mechanical or civil, structural and architectural (CSA) engineering background A PE license, PMP or OSHA 30 certification Familiarity with tools such as Procore or Primavera P6 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Buenos Aires, Argentina Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. The Head of Sales will be responsible for one of the largest markets in the region, helping our clients in different industries grow their business using X. You will be navigating complex business situations, helping clients solve their challenges and driving our commercial teams toward our revenue objectives with ad products. You need to utilize your strategic and analytical business skills, along with talent management skills to cultivate and lead the team. An ideal candidate will have a strong digital media sales track record with team management experience, hands-on use of AI and a strong focus on metrics to achieve our revenue objectives. Main Responsibilities Lead and develop the X team by coaching, training and building its structure, including recruiting Drive the commercial teams strongly toward sales, setting priorities by advertiser, vertical and product, and helping close strategic pitches and proposals with clients Build a strong partnership with X's regional team and sustain close alignment on programs, product roadmap, incentives and targets for the Argentine market Regularly consult and align with internal directors and leadership on strategy, performance and resources Track and report the performance of the business (revenue, pacing, pipeline, campaign metrics and client trends) and turn it into actions Establish managerial processes: annual planning, budget prioritization, impact measurement Use AI to work faster and at a greater scale, and drive its adoption across the team and the commercial teams Skills and Experience required: Minimum qualification will be sales track record in digital media or understanding of branding and full funnel marketing Minimum 6+ years of work experience in a media sales, partnerships or account management role with knowledge in digital performance marketing and ad metrics from tech-driven companies, agencies or media platforms 2+ years of team and people management experience Leadership skills – strong point of view with the ability to navigate clients, partners and internal leadership, and to build and foster relationships in a matrix organization Strong analytical skills to track KPIs and campaign performance and turn data into decisions Advanced, hands-on use of AI in day-to-day work, with concrete examples of improved results Proficient in Spanish and English with writing, communication and interpersonal skills Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows 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: London, UK 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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: £265,000 — £375,000 GBP 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: San Francisco, CA | 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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: $350,000 — $500,000 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: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Replit enables people to build software with AI. The systems underneath that experience must support safe production changes, measurable reliability, and predictable performance as usage grows. This Engineering Manager will lead SRE across observability, incident management, load testing, performance engineering, cloud cost and capacity, and rollout infrastructure. You'll lead and grow an existing team that builds and operates production platforms and works hands-on across application and infrastructure boundaries. This is a software-building leadership role, not simply an incident-management function. You'll help teams ship safely, understand production behavior, and remove performance bottlenecks through concrete engineering improvements. You should be comfortable going deep on a rollout failure or performance investigation while developing technical leaders and sustainable ownership across a distributed team. WHAT YOU'LL DO - Observability. Build and operate metrics, logs, traces, and alerting capabilities. Help teams establish meaningful SLOs and use production telemetry to diagnose problems and verify improvements. - Incident Management. Own incident tooling and practices, coordinate cross-team response, and turn incident reviews into engineering improvements that reduce recovery time and repeat failures. - Load Testing. Build and maintain load/failure testing capabilities. Validate critical paths under expected demand, quantify headroom, and test recovery and production readiness with service owners. - Performance Engineering. Lead deep engagements with internal teams on SLOs and end-to-end performance. Use profiling, telemetry, and load tests to identify bottlenecks and deliver improvements with service owners—not just recommendations. - Stay technically engaged. Review designs and production changes, debug difficult failure modes, and use AI coding tools—including Replit—to prototype and automate. Apply rigorous review and verification to AI-generated changes. - Build and grow a high-ownership engineering team. Coach engineers, develop technical leaders, manage performance, and hire against agreed needs. Make distributed collaboration, mentoring, and backup coverage deliberate rather than relying on a few permanent escalation points. - Measure outcomes and close the loop. Track rollout safety, recovery time, repeat incidents, critical-path latency/throughput, test coverage, and improvements arising from cost/capacity analysis. Agree success measures and continuing ownership with partner teams. WHAT YOU'LL BRING - Demonstrated engineering management. You have led and developed engineers, made prioritization and performance decisions, hired thoughtfully, and delivered through a team—not only acted as its strongest individual contributor. - Software-oriented production systems depth. You have built and operated distributed systems or reliability platforms and can reason across deployment behavior, Kubernetes, telemetry, service dependencies, and recovery mechanisms. - Safe-change and performance judgment. You have led consequential migrations or incidents and used measurement to diagnose reliability or performance problems. You can distinguish symptoms from causes and validate fixes under realistic conditions. - Platform-product and cross-team judgment. You can build capabilities other teams adopt, lead hands-on engagements without absorbing every service's operations, and make clear tradeoffs among reliability, performance, engineering effort, and cost. NICE TO HAVE - Experience with GitOps or progressive-delivery platforms such as Harness, ArgoCD, or Kargo. - Experience with observability, profiling, load-testing, and failure-testing systems, including OpenTelemetry or comparable tooling. - Experience with cloud cost attribution, capacity planning, and provider coordination, particularly on GCP. - Experience growing distributed teams and using AI tools to increase engineering output while preserving production safeguards. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Budapest, Hungary About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is a technology company that makes it easy to discover and get the best of your city delivered to your door. Founded in Helsinki in 2014 and now part of DoorDash, we operate in 30+ countries, connecting customers with local restaurants, grocery stores and retailers through our app and delivering it all through courier partners. Three groups make that marketplace work: the customers who order, the courier partners who deliver, and the merchants who sell. This role sits on the merchant side. Merchant Operations owns the support experience for our restaurant, grocery and retail partners, covering everything from onboarding and menu management to the day-to-day operational issues that come up while they're trading. That support is delivered through a combination of internal Wolt Operations teams and external BPO partners. What you’ll be doing As part of our Merchant Operations team, the Content, Training & Quality (CTQ) Manager plays a key role in making sure that the people who support our merchant partners know exactly how to do the work, and do it consistently. This is a global role: your audience is both our external BPO agents and our internal Operations team across 30+ Wolt countries. Day-to-day in this role you’ll: Content Ownership: Build and maintain the process documentation, SOPs, and knowledge-base articles behind Merchant Operations workflows. Consolidate what exists today into one coherent, findable, and trustworthy source, and keep it current as processes change. Training Design & Delivery: Organise, facilitate, design and/or deliver onboarding and upskilling programmes for internal operations teams and external BPO agents — live sessions, workshops, and self-serve modules in Cornerstone. You'll apply sound instructional design: define what someone needs to be able to do, build the shortest path to getting them there, and measure whether it worked. Stakeholder Management: Work across operations team leaders and process owners to understand how each process actually runs, align on what "correct" looks like, and drive adoption of new or updated ways of working. You will influence without direct authority, which makes this a core part of the role rather than an add-on. Build the Quality Framework : Establish our quality assurance approach from the ground up, together with the Operations team — defining what gets checked, how it's scored, and how often. Then close the loop by translating what the checks surface into the next round of content and training improvements. Continuous Improvement & Scale: Proactively identify where unclear process, content, or training is driving errors, rework, or long handling times, and close those gaps before they become escalations – staying close enough to the work, through quality reviews, agent feedback and performance data. You’ll design CTQ for reuse and consitency across 30+ countries and multiple delivery partners rather than rebuilding market by market, while leaving room for genuine local differences. Our humble expectations: Experience : 3–5 years in operations, learning & development, process enablement, or customer support — preferably in a marketplace, e-commerce, delivery, or other fast-paced operational environment. We're open on background: what matters is that you've built content and training for people doing repeatable operational work. Content & Training: Demonstrated experience creating operational content (SOPs, process documentation, knowledge-base articles) and designing and delivering training to distributed, multicultural teams. Formal instructional design or adult learning knowledge is a strong plus. Analytical Mindset: Comfort working with quality and performance data to spot where processes are breaking down and prioritise what to fix first. Ownership: Ability to work independently in an ambiguous environment, set your own starting point, and drive changes through to adoption without close direction. Mess doesn't paralyse you — you sequence a clean-up, make concrete decisions on the best available data, and get on with it. Teaching Instinct: You're a natural simplifier who'd rather write three clear pages than fifteen thorough ones, and you adapt how you teach to the audience in front of you — including stakeholders more senior than you. You build trust quickly with operational teams and can get busy people to give you what you need. Bonus points Experience with BPO or outsourced operations teams, or setting up a quality assurance framework from scratch. What we offer A blank page, not a maintenance job. A global quality assurance framework doesn't exist yet — you'll build it from the ground up with the Operations team, and consolidate scattered documentation into something people actually trust and use. Genuine global scope at IC level. Your work reaches internal Operations teams and external delivery partners across 30+ countries, with exposure to the wider DoorDash network. Measurable impact. This isn't content that disappears into a wiki — you'll see handling times, error rates, and agent confidence move as a direct result of what you build. Real autonomy. You set the roadmap and decide where to start. No one looking over your shoulder. Career growth in a fast-moving sector. A dynamic environment at the centre of delivery and e-commerce, with room to grow as the function you're building matures. Salary package and benefits , plus discounts on Wolt orders. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: München, Germany Workplace: Hybrid At Knuspr, Finance is not a back-office function. It’s a core driver of how we make decisions, run smarter operations, and scale sustainably. As a Finance Business Partner, you will act as a critical co-pilot to our Operations (Fulfilment Centres) and Commercial leadership. This is a hands-on, high-exposure role where you will be embedded directly in the day-to-day business—turning financial data and operational metrics into actionable decisions that directly influence our profitability and growth. WHY THIS ROLE IS EXCITING - Direct business impact: Your insights, business cases, and analysis will directly shape operational efficiency, commercial initiatives, and unit economics. - True business partnering: You won't just report numbers after month-end; you’ll work side-by-side with Operations and Commercial Directors to challenge how things are done and drive change. - Speed and autonomy: We move fast and avoid rigid corporate red tape—good ideas and viable solutions get tested and implemented quickly without layers of approval. - Cross-functional visibility: You will act as the key bridge connecting finance, logistics, commercial strategy, and leadership across the business. - Dynamic scale: You will solve real operational and systemic challenges in a fast-paced, high-volume e-commerce environment.   WHAT YOU WILL OWN AND DELIVER - Partner with leadership: Serve as the trusted finance partner for Operations and Commercial Directors, challenging existing setups and advising on strategic and operational decisions. - Drive performance analysis: Deliver ad-hoc deep dives, scenario modelling, and business cases to evaluate new projects, operational investments, and commercial opportunities. - Identify efficiencies: Spot operational bottlenecks, cost drivers, and financial risks across our fulfilment network and commercial operations, proposing concrete solutions to fix them. - Financial planning & reviews: Collaborate closely on budgeting, rolling forecasts, monthly financial performance reviews, and audit support. - Process & system improvements: Actively participate in developing internal financial tools, automating reporting, and establishing scalable internal controls that support rapid growth.   WHAT WE ARE LOOKING FOR - Proven finance background: Solid experience as a Senior Controller, Financial Analyst, or Finance Business Partner, ideally in a fast-paced, operational, or retail/e-commerce environment. - Commercial mindset: Strong grasp of business economics and core accounting principles, with the ability to translate complex financial data into practical operational insights. - Stakeholder management: Demonstrated ability to communicate effectively, build trust, and constructively challenge non-finance stakeholders and directors. - Hands-on analytical skills: Advanced Excel proficiency (complex formulas, PivotTables, data manipulation) and comfortable working directly with large datasets. - Ownership and initiative: A proactive, solutions-oriented approach with the confidence to dive deep into details and take accountability for outcomes. - Languages: Working proficiency in English (communicative level for business reporting and collaboration).   WHAT WE OFFER - Unlimited Vacation: Unlimited vacation days for a balanced work-life balance - Tax-Free Benefits: Monthly vouchers of €45 tax-free (via become.1) - Remote Allowance: €20 monthly allowance towards internet costs - Exclusive Shopping Perk: Knuspr Xtra account with 10% cashback in the form of Knuspr Credits - Corporate Discounts: Great discounts via CorporateBenefits (fitness, travel, tickets, shopping, and much more) - Culture & community – A collaborative, informal team that pulls together, alongside legendary company events and an open-feedback environment.     #LI-FK1