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Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Customer experience Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community. The role We are looking for an experienced Partner Solutions Architect with a proven track record of enabling both value-added resellers (VARs) and technology partners. You will help partners build differentiated offerings on Nebius, enable Channel joint value propositions and take those solutions to market. You will own the technical partner relationship, connecting partner sales, presales, product and engineering teams with their counterparts at Nebius. Combining cloud architecture expertise with commercial judgment, you will help partners win customers and grow adoption through repeatable solutions and effective enablement. You’re welcome to work from our office in Amsterdam or remotely from any EU country . Your responsibilities: Develop joint value propositions that combine Nebius with partner products or services, defining target customers, priority use cases, technical differentiation and business outcomes. Work with Channel and Nebius sales and marketing teams on joint go-to-market plans, account opportunities, co-selling activities, solution messaging and customer presentations. Lead joint customer discovery and solution discussions. Agree proof-of-concept success criteria and coordinate partner and Nebius specialists through technical validation and deployment planning. Enable VAR partners to qualify opportunities, position Nebius, design customer solutions and package their implementation or managed services around our platform. Help technology partners, including software vendors and data or AI platforms, define joint solutions, integration priorities and validation plans with their product and engineering teams. Build lasting relationships with partner engineering teams. Translate requirements and customer feedback into actionable plans, coordinate experts and influence product priorities. Track partner readiness, joint solution adoption and contributions to pipeline and customer wins. Use these results to improve enablement and scale successful partner activities. What you bring 5+ years in solutions architecture, technical presales or partner technical roles, with substantial experience supporting Channel and Technology partnerships. Demonstrated success enabling both VARs and technology partners, including examples of partners independently positioning solutions, pursuing opportunities or delivering joint offerings. Experience building joint value propositions and taking partner solutions to market, with evidence of customer wins, adoption growth or commercial impact. A track record of building partner enablement programs and adapting content for sales, presales and engineering audiences. Strong cloud architecture fundamentals across compute, storage, networking and security, with the ability to explain trade-offs and connect technical decisions to customer needs. Experience earning trust with partner engineering and product teams, working effectively with internal engineers and coordinating delivery across organizations without direct authority. Clear communication with engineers and business leaders, sound commercial judgment and an understanding of how resellers and technology partners make money. A relevant degree or equivalent professional experience, plus curiosity about AI infrastructure and the ability to learn new platforms quickly. Added bonuses The following experience would be valuable but is not required for the role: Hands-on Kubernetes and container platform experience, including deployment automation with tools such as Terraform. Experience with GPU-based workloads, HPC or distributed AI/ML workloads, including training, fine-tuning, inference or MLOps. Practical integration development using APIs, Python or infrastructure as code, or experience building reference implementations and technical demonstrations. Familiarity with AI software ecosystems or partner solutions built around major cloud and data platforms. I-PL1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. About the Role You own the path from signed contract to first live transaction. A merchant signs. Then someone has to read their stack, answer their API questions, debug their callbacks at 3pm on a Tuesday, fix what’s broken on our side, and keep the whole thing moving until money is flowing and the approval rate looks right. That someone is you. This is a hands-on engineering role, not a coordination role. You will read logs, reproduce issues in sandbox, write the corrected request for the merchant’s developer, and ship fixes in our own services when the root cause is ours. Project management is a means here, not the job. We are growing the Implementation team in the region, so you will also help define how this works: the tooling, the reusable answers, the escalation paths, and the documentation that stops the same question from being asked twice. How Success Is Measured One metric, three dimensions: integrations moved from signed to live transacting. How many — volume of merchants you take live. How fast — time from signature to first live transaction. How well — approval rate on the traffic those integrations bring. An integration that goes live and then underperforms is not a finished integration. Where You Sit You report to the Implementation Managers Lead, who reports to the Head of PayCore. Day to day you work alongside Account Managers, who own the commercial relationship, and the engineering teams that own our services, whom you escalate to — and ship with — when the fix is on our side. What You Will Do Driving integrations to live (≈50%) Take signed merchants through integration end to end: scope the setup, answer API and configuration questions precisely and in writing, unblock their developers, and stay on it until transactions are flowing. Investigate problems end to end: read logs, trace requests across services, reproduce in sandbox, and name whether the root cause is our platform, the configuration, or the merchant’s implementation. Diagnose and explain integration failures: failed callbacks, unexpected response codes, signature and authentication problems, transaction states that don’t match expectations. Be the technical point of contact for Account Managers, and turn recurring questions into documentation, examples, and internal runbooks. Hands-on engineering (≈40%) Fix the merchant’s code with them: review the integration, point at the actual problem, write the corrected request or snippet that makes it work. Fix bugs in our own services when the root cause is ours, working with the owning engineering team through to release. Build small features and customisations needed for specific merchant setups — from the change itself through testing and rollout. Write and maintain the tooling that makes all of the above faster: sample clients, diagnostic scripts, internal utilities. Pre-sales support (≈5–10%) Occasionally support the commercial team during a deal: answer a technical or security questionnaire, confirm whether a use case is supported, sanity-check a proposed integration approach. Who We Are Looking For Two profiles work equally well here, and we are open on seniority: A developer early in their career who would rather solve real customer problems than sit behind a backlog — and who is comfortable being the one talking to the merchant. An experienced integration engineer who already owns customer-facing technical problems and writes code to solve them, not just tickets about them. Required Skills and Qualifications Coding: You write Java/Python/C++ comfortably and can work inside an existing codebase — read it, change it, test it, ship it. Working with AI: You already work with an AI coding harness (Claude Code, Codex or similar) and reach for it daily — to get through a stack you have not seen before, to draft a fix, to move faster. This is not a bonus point here. It is how the team works, and we expect you to arrive already working this way. Reading other people’s code: Merchants integrate in whatever they use. You can follow unfamiliar code well enough to find the bug in it. Python, Node or other languages are a plus. Debugging: Proven ability to diagnose problems in running systems — reading logs, following a request across services, forming a hypothesis and proving it. This is the core skill of the role. APIs and integrations: Practical understanding of REST APIs, authentication and signing, webhooks and callbacks, idempotency, and common integration failure modes. SQL: You write your own queries to investigate production data. Architecture: Solid grasp of client-server architecture, SaaS platforms and cloud conventions. AWS is a plus. Tools: Postman, a DB client, an OpenAPI tool, Git. English, written and spoken: You can explain a technical cause clearly to a non-technical colleague — in writing and on a call — without making them feel stupid. Most of this role happens in text, and the rest happens live with merchants and colleagues. Nice to Have Experience in payments, fintech, or another regulated domain. Background in technical support, integration engineering, or professional services at a product company. Experience improving how support works: tooling, templates, self-service documentation. Practicalities On-site in Belgrade, standard business hours on Belgrade time (roughly 9:00–17:00). No on-call. Merchants across Europe and Africa. English is the only working language — with merchants, with Account Managers, internally. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Limassol Cyprus Workplace: OnSite ABOUT US Scorewarrior is a game developer and publisher based in Limassol, Cyprus. We are working on Total Battle — a cross-platform MMO 4X strategy game with a deep social system and extensive player interaction. We have 2 million monthly active players and continue to grow with the goal of becoming the #1 game in the genre. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. ABOUT THE POSITION We are looking for a QA Engineer to ensure the high quality of endgame features through early defect detection. You will join a cross-functional team of 25+ professionals focused on developing gameplay and monetization for mid- and high-level players. WHAT YOU WILL BE DOING - Drive end-to-end QA support for endgame features - from requirement analysis to final release - Take part in planning: evaluate testability, identify risks, and estimate effort - Assess test coverage and ensure critical test cases remain relevant and up to date - Review testing documentation and help improve its structure and quality - Contribute to both minor and major release cycles: conduct full testing, smoke tests, regression, final acceptance, and post-release monitoring - Share knowledge across the QA team REQUIRED QUALIFICATIONS - Experience in game testing - 5+ years of experience in testing web and mobile applications - Strong knowledge of testing methods and techniques - Good understanding of client–server architecture and practical experience in testing such systems - Proficiency in working with requirements and documentation - Hands-on experience with bug-tracking systems - Familiarity with test management tools - Experience analyzing and working with system logs THE FOLLOWING WOULD BE TO YOUR ADVANTAGE - Good understanding of core game mechanics and game design principles - Experience collaborating with customer support to investigate and reproduce edge-case issues - High level of gaming knowledge and/or skill WHAT WE OFFER - A team of professionals with a passion for gamedev and a drive to make Total Battle the #1 MMO 4X strategy game. - An excellent remuneration package, including a 13th salary. - Full relocation coverage for you and your family to Cyprus (Limassol). - A modern, sunny office close to the sea. - Private health insurance for you and your family members. - A monthly pre-school, school, and university allowance for employees' children. - Lunch compensation. - A sports and fitness allowance. - Company-funded personal development opportunities (professional and language courses, books, etc.). - Bonuses for outstanding results, years of service, marriage, and childbirth. - Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a VLA Pre-training Engineer to join our Autonomy team based in London. In this role you will you will work on all aspects of training capable policies, be it pre-training of a base model on a diverse multi-embodiment corpus of trajectories, fine-tuning a policy to perform a specific task well, curating data collection processes or exploring productive ways to generate and use synthetic data. This is primarily a deep learning-focused role, so we are looking for experience solving real problems using modern neural networks, while experience in robotics isn’t strictly required. However if you don’t have such experience, be prepared that you’d need to familiarize yourself with a new domain quickly.   WHAT YOU'LL DO - Post-train policies via behaviour cloning and RL; own the full loop from data to deployment. - Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage. - Work closely with external partners to ensure steady supply of high-quality pretraining-scale data. - Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes. - Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining. - Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Robotics or autonomous driving experience. - Experience applying RL to LLMs or robotics. - Experience with VLA (vision-language-action) models. - Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization). - Publications at top-tier deep learning conferences or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: London, England, United Kingdom Opportunity Brunswick is on an exciting journey to harness the power of artificial intelligence and data science to enhance the way we work and the advice we provide to clients. As we continue to expand our AI capabilities, we are looking for an AI Engineer to join our growing team. In this role, you will be responsible for designing, developing, and maintaining AI-powered applications that deliver real value across the business. Working closely with our existing AI team, you will help build innovative solutions using modern AI technologies, with a particular focus on large language models (LLMs). This is an excellent opportunity for someone with hands-on experience developing and deploying AI applications who enjoys solving complex problems, working with a high degree of autonomy, and turning emerging technologies into practical, high-quality products. You will thrive in this role if you are curious, creative, and passionate about applying AI to solve real-world business challenges. You take pride in writing robust, maintainable code and enjoy collaborating with colleagues to continuously improve and expand our AI capabilities. About the Role Your main responsibilities will include: Support, run, and iterate existing AI applications. Design, develop, deploy, and maintain new AI applications which can be scaled across multiple business use cases, driving operational and commercial outcomes. Trial and test solutions with end users to iterate and optimise them. Research and analyse data sets using a variety of statistical and machine learning techniques. Track and understand the evolving AI landscape. What We’re Looking For The successful candidate will be a highly professional, well-rounded individual with strong problem-solving skills, engineering expertise, strategic thinking, and excellent interpersonal skills. They will have a strong academic background complemented by an outstanding career to date. Standout candidates will demonstrate: Experience building solutions with large language models (LLMs) and a deep understanding of the broader generative AI landscape. Experience designing datasets, conducting model evaluations, and fine-tuning foundation models to improve task-specific performance. Strong Python development skills, including experience writing production-quality code. Experience with front-end technologies such as JavaScript, React, HTML, and CSS. A solid understanding of statistics and machine learning fundamentals. An undergraduate degree in a quantitative discipline, such as Mathematics or Computer Science, or equivalent relevant industry experience. Excellent verbal and written communication skills, with the ability to communicate technical concepts effectively to both technical and non-technical audiences. The ability to thrive in a fast-paced, evolving environment with changing priorities and an iterative, user-focused approach to development. Curiosity, a strong sense of ownership, and the ability to work effectively both independently and collaboratively. Previous experience in professional services would be advantageous. Experience developing cloud applications on Microsoft Azure would be advantageous. Experience with DevOps practices and tools (e.g. CI/CD, Git) would be desirable. Knowledge of, or experience with, secure software development practices would be advantageous. Why Join Us Whether you are joining a client facing team, a core services team, or starting out on your professional career journey, joining Brunswick unlocks a range of employee benefits to support your financial future, health and wellness, family and community and continuous professional development. About Brunswick Brunswick is a global advisory firm. We help companies tackle high-stakes issues, navigate complex stakeholder relationships, and deliver high-impact outcomes. Our clients value our ability to anticipate, shape, and respond to the key players and forces in the financial and investment arena, regulatory and geopolitical universe, NGO community, workforce and beyond. They rely on us for deep experience, fresh perspectives and original thinking. So, in Brunswick you will find an exceptional range of experience and talent with a rich mix of backgrounds. From the beginning, we have prioritized attracting, developing, and retaining the best professionals in the industry, united by a culture of inclusivity, excellence, and intellectual curiosity. Founded in 1987 in London, the firm has organically grown to 27 offices in 18 countries across the Americas, Europe, Middle East, Africa, Asia and Australia. We operate as a “one-firm firm” with no individual profit centers. This allows us to assemble fully integrated, bespoke teams for each client, able to draw on the full resources of Brunswick anywhere in the world. Brunswick is an equal opportunity employer.  All qualified applicants will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, disability, pregnancy, genetic information, or any other status protected by applicable law. Please read our Global Privacy Notice to understand how your data is managed.

Location: Prague, Czech Republic; Group career pages; Jobs.cz Workplace: Hybrid At Rohlik, Finance is becoming more automated, data-driven and AI-enabled. But getting there means more than introducing another tool. It means understanding how finance processes really work, finding where manual effort is slowing teams down, and redesigning those processes so automation works in practice. That’s why we’re creating a new Senior Finance/Accounting Automation Specialist role within our Shared Service Centre. You’ll help turn repetitive manual work across P2P, OTC, invoicing, payments and reconciliation into smarter, more scalable processes. This isn’t a maintenance role, and it isn’t a pure developer position. We’re looking for someone who understands finance, thinks in systems and can translate a business process into clear automation logic. WHY THIS ROLE IS EXCITING - You’ll have real influence over how finance automation is built and developed. - Your work will directly reduce manual workload across the SSC and free teams to focus on higher-value activities. - We are an AI-first company — you’ll work with emerging internal agents and automation tools, not just traditional process-improvement methods. - You’ll be close to business-critical finance processes and priorities with strong visibility across SSC and Finance leadership. - You’ll join a new automation-focused team and help shape its ways of working from the beginning. - This is a builder role: you’ll see visible results from the processes you improve and the solutions you help implement. WHAT YOU’LL DO You’ll work across Finance, SSC and IT to understand processes, identify automation opportunities and turn them into reliable solutions. You will: - Map and understand end-to-end finance processes across P2P, OTC, invoicing, payments and reconciliation - Identify repetitive, inefficient or error-prone activities that can be simplified or automated - Focus on practical use cases such as: - invoice and payment matching - bank statement processing - PO creation and follow-up - settlement and reconciliation of receivables and payables - payment reminders and supplier or customer communication - Translate finance requirements into clear process and automation logic - Work with internal AI agents and automation tools, together with IT and technical support - Test automation outputs and validate that accounting and business logic are correct - Support implementation and adoption across P2P, OTC and other SSC teams - Monitor automated processes, investigate issues and improve reliability - Keep process documentation accurate and up to date - Track the impact of improvements on manual effort, processing speed, data accuracy and financial closing - Train and support finance teams so they can use new solutions effectively WHAT WE’RE LOOKING FOR We’re looking for a finance-and-systems hybrid — someone who can understand the accounting reality and improve how it works through technology. - Experience with finance process improvement, ERP implementation, finance systems or automation projects - Good understanding of accounting and finance processes, particularly P2P, OTC, invoicing, payments or reconciliation - Ability to map processes, identify root causes and translate business needs into system requirements - Experience working with finance teams and technical stakeholders - Strong hands-on experience with AI and automation tools, with a proven track record of applying them to optimize daily finance workflows - Strong analytical and problem-solving skills - Independent, self-driven approach — you’re comfortable creating structure in an environment that is still evolving - Strong communication skills and the ability to explain technical topics clearly to finance users - Fluent English is required. Czech/Slovak is an advantage, but not mandatory Nice to have: - Experience from a Shared Service Centre - Knowledge of NetSuite or another major ERP system - Experience with emerging AI agents, workflow tools or automation platforms - Background in consulting, finance transformation or ERP implementation WHAT’S IN IT FOR YOU - Fair reward - You’ll get a strong fixed salary — no bonus games, no politics. Great work is rewarded clearly and fairly. - Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. - Life, not just work - You’ll have real flexibility – three days in the office, 2 days Home Office where it suits you. And unlimited paid vacation based on trust. - Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. - Real impact - What you do here matters. You’ll see your work changing how people eat and live — from day one. - Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. - Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz. - Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. - A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. - If this sounds like you…You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us?   WHAT YOU SHOULD KNOW Our automation environment is still developing. Some processes are messy, tools are not fully mature, and not every requirement will arrive perfectly defined. You’ll need to explore, ask questions and create structure yourself. This is not a comfortable role focused on maintaining finished solutions. It’s for someone who wants to build, experiment and make finance processes work better in real life. If you understand finance, enjoy working with systems and want to move into practical AI and automation, we’d love to hear from you. #LI-DH1

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Speech & Voice AI Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Portuguese (Brazil) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: San Francisco, CA | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is hiring a Field Marketing Lead dedicated to the Public Sector Industry — one of the fastest-growing customer segments we serve, and one we believe will define how the next generation of AI-native companies adopts and builds with Claude. You will own the field marketing strategy and end-to-end execution for Public Sector audiences in the US, partnering closely with our Public Sector Sales teams. This is a builder role. Field Marketing at Anthropic is a small, scrappy team and the Public Sector is an area of growth for the business — there is no existing playbook for you to inherit. You will design the event calendar, build the integrated digital programs, develop the necessary partnerships, and create the playbooks that scale across our Public Sector motion. Responsibilities Develop and activate the US Public Sector field marketing strategy end-to-end — planning, calendar, execution, and measurement. Design and run public-sector-appropriate event formats — agency roundtables, mission-focused briefings, tech demo days, industry days, and executive breakfasts — that comply with government ethics and gift rules while building trusted relationships with program and procurement stakeholders Plan the field calendar around the government fiscal year — building demand programs that peak ahead of federal year-end (September 30) and state budget cycles, and capitalize on use-it-or-lose-it spending windows Own presence at anchor public sector events — from sponsorship strategy to speaker placement and on-site execution Build co-marketing programs with the public sector channel ecosystem — distributors, resellers, systems integrators, and contract-vehicle holders — including joint events, teaming-oriented content, and partner-sourced pipeline Partner closely with Public Sector Sales and BDRs on pre-event targeting, during-event engagement, and post-event follow-up to convert attention into pipeline Build operational playbooks (Demo Day activation kit, hackathon kit) that the Field Marketing team can scale across regions and segments Establish baseline metrics, dashboards, and ROI reporting for all Public Sector field programs Be the face of Anthropic in the Public Sector ecosystem — credible with strategic partners and agencies Minimum qualifications Direct Public Sector-segment experience — you have built and run programs targeting the Public Sector as your primary audience, not as an enterprise field marketer who occasionally touches Public Sector End-to-end ownership of field marketing events and programs, hands on in both strategy and execution - this is a 0-1 building role with very little foundation in place Repeat success across multiple companies — we are looking for a pattern of impact, scaling field or demand generation programs in different environments, not a single-company tour (however strong the brand) 0-to-1 builder DNA — you've built a field marketing motion from scratch (or rebuilt one), and you also have scaled-company tenure that grounds you operationally Tight sales alignment — you've worked shoulder-to-shoulder with AEs and BDRs on account targeting, pre-event outreach, and post-event follow-up Operational rigor — you can stand up vendor management, registration, follow-up workflows, and ROI dashboards without being asked Technical credibility — you can review technical event content, brief technical speakers, and hold your own with founder/CTO audiences Preferred qualifications 10+ years across Field Marketing, Demand Generation, ABM, and Events at B2B technology companies Experience working inside of a Public Sector organization that went through a rapid growth phase, or a blend of Public Sectors and scaled technology companies. AI/ML field marketing experience Existing relationships with public sector associations and research institutions Visible thought leadership in the Public Sector ecosystem or developer ecosystem Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or Washington, D.C. office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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 — $400,000 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, United Kingdom WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is building the connected workspace that teams everywhere use to think, plan, and ship — and our partner ecosystem is central to how we grow in the UK market. As Regional Partner Manager for UK, you'll own our partner relationships across the region, working closely with our London sales team to drive revenue through value-added resellers, hyperscaler ecosystems, and local services partners. This is a builder role for someone who thrives in a dynamic, high-growth environment. You'll be the architect of Notion's UK partner motion — standing up programs, forging relationships, and converting partner activity into measurable pipeline. You'll operate across multiple partner types simultaneously and serve as the connective tissue between our ecosystem and our sales team. The ideal candidate brings a hunter's instinct to partnerships: proactive, commercially sharp, and energised by the challenge of building something meaningful in a market with real momentum. You'll work cross-functionally with sales, marketing, and regional leadership — and you'll be a visible face of Notion in the UK partner community. WHAT YOU’LL ACHIEVE - Own and grow Notion's UK partner ecosystem across value-added resellers, cloud/hyperscaler partnerships, and local services partners - Build and execute joint go-to-market programs with regional VARs and solutions partners - Manage Notion's hyperscaler partnerships in the UK, overseeing cloud marketplace deal flow and co-sell motions - Align partner activity directly to the UK sales team's pipeline — facilitating introductions, mapping accounts, and driving resell and co-sell opportunities to close - Coordinate joint initiatives that bring together reseller partners and hyperscaler ecosystems for combined enterprise programs - Develop and maintain strong executive relationships with partner leadership across the region, becoming a trusted extension of their go-to-market teams - Track and report on partner-sourced and partner-influenced pipeline; present program performance to internal stakeholders and EMEA regional leadership - Support services delivery by local partners on an ad-hoc basis, helping maintain quality and partner satisfaction - Identify and qualify inbound partnership opportunities, and proactively surface new partner relationships that can expand Notion's reach in the UK - Collaborate with Notion's global and EMEA partner teams to adapt programs to the local market and share learnings across regions SKILLS YOU’LL NEED TO BRING - 10+ years of experience in partnerships, channel sales, or alliances in the enterprise SaaS or cloud software industry - Demonstrated experience managing both VAR/reseller programs and at least one cloud or hyperscaler partnership — comfort across both partner types is essential - A builder's track record: you've stood up partner programs and can point to outcomes you drove - Strong demand generation orientation - Commercially sharp with the ability to connect partner activity to revenue outcomes - Highly collaborative and effective working alongside direct sales teams — you understand what reps need, and you make their lives easier - Executive presence and strong relationship-building skills; you're as comfortable presenting to a partner CRO as you are coordinating logistics with a partner marketing manager - Experience working in or alongside hyper-growth or startup environments — you're comfortable with ambiguity and moving fast without a complete playbook - Based in London with existing knowledge of the UK technology market; willingness to travel across EMEA and occasionally across EMEA - Strong organisational and operational discipline — you manage multiple active partner relationships without dropping balls, and you communicate proactively NICE TO HAVE - Experience with cloud marketplace programs and hyperscaler co-sell motions - Familiarity with product-led growth (PLG) or bottoms-up SaaS go-to-market models - Existing relationships with UK-based VARs, systems integrators, or hyperscaler partner teams - Cross-market EMEA experience — e.g. managing partnerships across EMEA regions simultaneously Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is £162,000 - £190,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Belarus; Armenia; Croatia; Georgia; Kazakhstan; Moldova; Poland; Portugal; Serbia; Spain Workplace: remote About the Team   We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. We are seeking an experienced Product Designer to join and strengthen our team. You will work closely with fellow Designers, a Design Technologist, Product Owner, Researcher, and the Development team. We believe that complex challenges can only be solved together. That’s why our culture encourages open discussion of problems and constructive debate over solutions. You will be surrounded by supportive colleagues ready to help and share their expertise. Tasks: Own the design and User Experience (UX) for one of the key product areas; Design and improve user scenarios and features across multiple platforms (Web, iOS, Android); Conduct Product Discovery: collaborate with the team to research user journeys, identify friction points, and formulate/validate hypotheses; Build high-quality prototypes, paying attention to micro-interactions and transition animations; Facilitate discussions with developers and stakeholders, finding the balance between ideal UX and technical constraints; Ensure implementation quality (Design QA/Review) and guide solutions through to release; Contribute to the Design System: ensure consistency and accelerate team velocity through high-quality components. Requirements: 5+ years of experience in product design (a portfolio featuring launched case studies is required); Advanced proficiency in Figma; Proven experience in creating or scaling design systems; Product Mindset: You make decisions based on data, research, and common sense, not personal preference. You understand how design impacts business metrics; Understanding of accessibility principles and the ability to integrate them into the design process; Strong communication skills with the ability to articulate and defend design decisions, as well as give and receive constructive feedback; You can self-manage, prioritize your backlog, and drive processes without micromanagement; Comfortable with shifting priorities based on business needs. What we offer: Remote work model; Competitive remuneration; Friendly, enjoyable and positive environment. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.   Join us today, and let's shape the future of fintech together!   Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.   #LI-LR1

Location: Dublin, Dublin, Ireland, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Senior Sales Engineer to join our Commercial sales team. As a Commercial Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java What You’ll Do Work with Commercial customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Commercial audiences Ensure the technical win by running an organised proof-of-value process Work closely with multiple cross-functional organisations, driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For 4+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT #LI-DC1 #LI-HYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range €77.028 — €96.285 EUR Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements. Your responsibilities will include: Site Selection & Market Analysis Lead the end-to-end site selection process for new data center facilities. Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors. Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing. Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies. Technical & Environmental Due Diligence Coordinate environmental, geotechnical, hydrological, and seismic assessments. Assess infrastructure availability (power, water, fiber) and future scalability. Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility. Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements. Colocation Strategy & Vendor Management Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure. Lead RFPs, negotiations, and contract execution with colocation and connectivity partners. Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations. Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics. Cross-Functional Collaboration Work with data center design and construction teams to validate site feasibility and development timelines. Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance. Support finance with CapEx/OpEx modeling, ROI calculations, and business case development. Coordinate with public authorities, utilities, and permitting agencies as needed. Risk Assessment & Compliance Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability. Ensure compliance with local regulations, zoning laws, and corporate standards. Maintain documentation for audits, reporting, and internal approvals. We expect you to have: Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field. 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure. Strong understanding of data center power, cooling, and network requirements. Experience in evaluating colocation providers and negotiating leases/SLAs. Analytical skills in market research, cost modeling, and risk assessment. Ability to manage multiple simultaneous projects across regions. Excellent communication, negotiation, and stakeholder management skills. It will be an added bonus if you have: Experience with hyper-scale or large-scale data center development. Knowledge of utility procurement (power, water), renewable energy markets, and substation planning. Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning. Understanding of permitting processes and environmental regulations. #LI-PD1 #LI-PD1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Pasig City, Philippines Job Description: Help guide report strategy, help determine important safety concerns and review medical and medical safety content that will be included or discussed in the report, including but not limited to safety signals, health authority requests, safety-related literature, adverse event case reviews, benefit-risk assessments, and overall medical assessments and conclusions. Work in collaboration with contributing team members, particularly with the reports assigned to the Global Risk Assessment and Safety Physician. Review all stages of the report that are assigned during the report authoring process, record their recommended revisions, and indicate completion of their reviews in the corresponding systems. Key Responsibilities: Provide medical and scientific judgment in the evaluation of data pertaining to the efficacy and safety of Client products including, but not limited to, PBRER-PSURs and benefit-risk evaluations Review and contribute to strategy discussions, including determination of the important safety concerns and review of draft/final data, HA feedback topics, signals, and benefit-risk evaluation. Coordinate with Global Risk Assessment and Safety Physicians regarding PBRER steps and hand-offs and collaborate with other members of the report authoring team. Review the drafts and final reports as assigned and provide feedback, which may include pre-initial, drafts, drafts, final drafts, and final reports as assigned. Qualifications: Requirement: Licensed Medical Physician Experience in Drug Safety and Pharmacovigilance (PV) Concepts, regulatory requirements, research principles, and safety data analysis. 1-3 years of experience in pharmaceutical regulations and R&D processes. Technical Skills: the ability to analyze, interpret, and present complex data in a concise and understandable scientific manner, both orally and in written format, is essential. Attention to detail: diligence in record-keeping and records organization, ability to manage high workload and critical issues, computer literate and proficiency in MS Office applications. Internal and external networking skills: strong collaborative and interpersonal skills, results-oriented and ability to independently create and deliver, ability to thrive in a global, cross-functional environment. Data entry experience desired. Accountability for delivery of results. Decision making and problem-solving skills. Proactive approach/uses own initiative. Manages own work, able to prioritize, plan and organize work assignments and work under strict timelines Ability to follow guidelines, working practices etc. Experience of working with SOP/WI preferred

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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%) What We're Looking For Required 10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information Preferred Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA) Experience with prefabricated and modular construction strategies for data center applications Familiarity with geotechnical risk assessment and foundation design for large industrial facilities LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials International project delivery experience (Europe, Asia-Pacific, or other regions) Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks 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: San Francisco; New York City Perplexity is revolutionizing how companies get work done. We are seeking an Associate Product Marketing Manager to join our team and serve as the bridge between how our products actually work and how the world learns to use them. You will develop the deepest product understanding on the team and translate it into webinars and education materials that inspire adoption and drive growth. If you have a passion for understanding how things work, thrive in taking something complex and making it simple, and want to build a world-class product education engine that turns new users into power users, this role is for you. RESPONSIBILITIES - Know the product cold. Develop a deeper working knowledge of our products than anyone else in marketing, using every feature the day it ships, building the workflows yourself, and staying close to the teams that built them. - Turn complexity into clarity. Transform complex product capabilities into simple, specific, and accurate explanations, defining not just what we built, but how it works, when to use it, and why it matters. - Teach at scale. Own product webinars end to end, from content and live demos to delivery and follow-up, spanning onboarding series, feature deep-dives, and use-case walkthroughs. - Build the education engine. Create the product education materials our users learn from: how-to guides, demo flows, video walkthroughs, and use-case libraries that make customers materially better at their jobs. - Obsess over the user. Maintain a sharp, real-time view of what users misunderstand and where they get stuck, ensuring our education remains grounded in how people actually use the product rather than how we assume they do. - Measure outcomes, not just outputs. Tie webinars and education content to tangible activation, adoption, and retention, running lightweight experiments to iterate fast on format, content, and delivery. - Get products to launch. Own and coordinate the cross-functional workstreams that take products from built to launch, keeping teams aligned on dependencies, timelines, and the work needed to bring each launch to market. QUALIFICATIONS - 2-3 years of experience in product marketing, customer education, business development, or a related role, ideally within a high-growth technology company, or work that proves the skill regardless of title. - Proven ability to synthesize complex technical concepts into simple, specific, and provable explanations that travel across new users, power users, and admins. - Genuine obsession with product: you explore every setting, test every new feature, and can explain what a product does better than the team that built it. - Sharp teaching and storytelling skills grounded in data, with the ability to summarize how a feature works in a single sentence and demonstrate it live. - High slope: you learn unfamiliar products and domains fast, and your rate of improvement is your standout trait. - Extreme comfort delivering clarity in high-velocity, ambiguous environments.

Location: San Francisco; New York City Perplexity is revolutionizing how companies get work done. We are seeking an Associate Product Marketing Manager to join our team and serve as the bridge between how our products actually work and how the world learns to use them. You will develop the deepest product understanding on the team and translate it into webinars and education materials that inspire adoption and drive growth. If you have a passion for understanding how things work, thrive in taking something complex and making it simple, and want to build a world-class product education engine that turns new users into power users, this role is for you. RESPONSIBILITIES - Know the product cold. Develop a deeper working knowledge of our products than anyone else in marketing, using every feature the day it ships, building the workflows yourself, and staying close to the teams that built them. - Turn complexity into clarity. Transform complex product capabilities into simple, specific, and accurate explanations, defining not just what we built, but how it works, when to use it, and why it matters. - Teach at scale. Own product webinars end to end, from content and live demos to delivery and follow-up, spanning onboarding series, feature deep-dives, and use-case walkthroughs. - Build the education engine. Create the product education materials our users learn from: how-to guides, demo flows, video walkthroughs, and use-case libraries that make customers materially better at their jobs. - Obsess over the user. Maintain a sharp, real-time view of what users misunderstand and where they get stuck, ensuring our education remains grounded in how people actually use the product rather than how we assume they do. - Measure outcomes, not just outputs. Tie webinars and education content to tangible activation, adoption, and retention, running lightweight experiments to iterate fast on format, content, and delivery. - Get products to launch. Own and coordinate the cross-functional workstreams that take products from built to launch, keeping teams aligned on dependencies, timelines, and the work needed to bring each launch to market. QUALIFICATIONS - 2-3 years of experience in product marketing, customer education, business development, or a related role, ideally within a high-growth technology company, or work that proves the skill regardless of title. - Proven ability to synthesize complex technical concepts into simple, specific, and provable explanations that travel across new users, power users, and admins. - Genuine obsession with product: you explore every setting, test every new feature, and can explain what a product does better than the team that built it. - Sharp teaching and storytelling skills grounded in data, with the ability to summarize how a feature works in a single sentence and demonstrate it live. - High slope: you learn unfamiliar products and domains fast, and your rate of improvement is your standout trait. - Extreme comfort delivering clarity in high-velocity, ambiguous environments.

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 As a Technical Recruiter at Anthropic, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Key Responsibilities Develop and execute strategic recruiting plans to identify and source highly qualified candidates Partner with technical and non-technical hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Implement recruiting processes and programs such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic’s employer brand to showcase our mission, culture, and values to candidates Provide an exceptional candidate experience throughout the recruiting process Minimum qualifications Deep full lifecycle recruiting experience, with substantial time supporting technical engineering organizations Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers are complex searches Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it Preferred qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent Comfort using LLMs to accelerate sourcing, research, and market mapping 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: $240,000 — $295,000 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 US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is building the next generation of consumer finance, and the Affirm Card sits at the center of that vision—blending debit, pay-over-time, and network-native experiences into a single product. We’re looking for a Senior Director of Product to lead the Affirm Card and Card Platform—owning both the end-user experience, the business outcomes of every card product, and the underlying platform that powers card issuance, authorization, servicing, and partner integrations. This is a pillar-level leadership role responsible for defining strategy, building a high-performing team, and delivering durable business outcomes across one of Affirm’s most strategic product areas. What you’ll do Own the Card domain end-to-end Define and drive the multi-year vision for Affirm Card across consumer experience, growth, and economics, inclusive of new card products that complement the one we have in market today. Lead the US direct to consumer card products (Affirm Cards, and in app virtual cards) Oversee our Card Platform (authorization, ledgering, servicing, controls) which powers the D2C products both domestically and internationally, along with a number of merchant and partner integrations. Translate company strategy into a coherent roadmap spanning multiple teams and systems Build and scale a high-performing product organization Manage and develop a team of PMs and PM leaders Establish product standards, operating cadence, and decision frameworks Build a durable org that delivers high-quality outcomes without direct involvement in every decision Drive business outcomes at scale Own GMV, engagement, unit economics, and credit outcomes for the Card domain Shape investment strategy, tradeoffs, and resource allocation across multiple product areas Partner with Finance and Credit to optimize profitability and risk Lead platform strategy and execution Drive platform capabilities that unlock velocity across Affirm (APIs, controls, servicing systems) Partner deeply with Engineering to make cost vs. value tradeoffs at the system level Ensure the Card Platform scales reliably across use cases, geographies, and partners Operate as a cross-functional leader Align senior stakeholders across Engineering, Design, Credit, Legal, Partnerships, and GTM Build strong relationships with external partners (networks, processors, wallet providers) Represent the Card domain in executive forums and company planning cycles What we look for Product leadership at scale 15+ years in product management, with experience leading multi-team product areas or platforms Track record of owning large domains or business lines with meaningful financial impact Org-building capability Experience managing managers and building high-performing PM teams Proven ability to create systems, processes, and culture that scale Strategic and systems thinker Ability to operate at portfolio-level altitude—connecting product decisions to company strategy Strong judgment across second- and third-order tradeoffs, especially in complex systems Platform + fintech depth Experience in payments, cards, fintech, or adjacent infrastructure Comfort working on both consumer-facing products and backend platforms Execution and influence Ability to drive alignment across senior stakeholders and functions Strong product instincts paired with rigorous, data-driven decision-making Why this role matters Affirm Card is one of the fastest-growing parts of the business and a key driver of long-term differentiation. This role will shape: How Affirm shows up every day in consumers’ wallets How we blend debit, credit, and pay-over-time into one experience The platform foundation that enables future financial products Pay Grade - V Equity Grade - 21 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $340,000 - $375,000 USA base pay range (all other U.S. states) per year: $305,000 - $340,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.