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Location: Australia Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT THE ROLE ClickUp is hiring a Strategic Solutions Engineer to partner with our Sales team across APAC, helping prospective and existing customers turn business challenges into practical solutions. You will lead technical discovery, deliver tailored demonstrations, design solutions, and guide technical evaluations that help customers adopt ClickUp, expand their use of the platform, and realise measurable business value.   This is primarily a customer-facing pre-sales role, with approximately 80% focused on direct sales opportunities and 20% supporting our partner ecosystem. You will combine business process mapping, compelling storytelling, and hands-on work with AI, automation, and integrations to show customers better ways of working. You will also help partners build their technical confidence through targeted enablement and support on shared opportunities.   KEY RESPONSIBILITIES - Discovery & Solution Design: Partner with Account Executives to understand customer goals, map current business processes, and design solutions that connect ClickUp capabilities to measurable outcomes. - Tailored Demonstrations & Storytelling: Deliver customer-specific demonstrations, workshops, and executive presentations that show the value of ClickUp for prospective and existing customers. - Technical Evaluations & Proof of Value: Own the technical evaluation from discovery through working sessions, technical Q&A, proof-of-value projects, integration scoping, and final value presentation. - AI, Automation & Integrations: Build and demonstrate practical AI-driven workflows, agent-based solutions, and lightweight integrations that help customers improve productivity and operational efficiency. - Technical Deal Support: Address technical objections, contribute to functional and technical RFP responses, and help customers evaluate solution fit, feasibility, and business impact. - Cross-Functional Collaboration: Work with Professional Services, Customer Success, Product, Engineering, and global Solutions Engineering teams to resolve technical questions, share customer feedback, and support a clear handoff from evaluation to implementation. - Reusable Assets & Best Practices: Develop demo environments, solution patterns, and technical content that improve the quality and efficiency of customer engagements. Manage multiple opportunities with sound prioritisation and commercial judgment. - Partner Enablement: Help partners strengthen discovery, demos, and solution design through targeted training and reusable assets covering ClickUp, AI, integrations, and workflow automation. - Partner Co-Selling: Support selected partner-led and shared opportunities with technical discovery, demonstrations, and solution guidance, working alongside Partner Managers and Account Executives.   QUALIFICATIONS REQUIRED - 5+ years of solutions engineering experience. - Strong presentation, storytelling, and workshop facilitation skills, with the ability to connect product capabilities and technical details to business outcomes for different audiences. - Strong customer-facing skills, including the ability to build credibility, influence technical and executive audiences, and handle objections thoughtfully. - Ability to map business processes, facilitate whiteboarding sessions, and translate customer requirements into clear solution designs. - Creative problem-solving skills, an eagerness to learn new technologies, and sufficient technical depth to build lightweight custom solutions using APIs, web services, integrations, or automation. - Hands-on experience applying AI and LLMs to practical workflows, with the ability to explain their value and limitations to customers. - Strong commercial judgment, structured problem-solving, and comfort managing multiple concurrent priorities with urgency and limited supervision. - Willingness to travel up to 30% for this role. PREFERRED - Experience supporting enterprise customers or complex, multi-stakeholder buying processes. - Experience with project management, portfolio management, collaborative work management, or other horizontal SaaS platforms. - Familiarity with integration platforms such as Workato, Zapier, Unito, or Make. - Experience enabling colleagues, customers, or partners through training, workshops, or reusable technical content. LOCATION - This role is open to candidates across Australia, with Sydney, Melbourne or Brisbane preferred. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Задачи: — Заключать сделки с корпоративными клиентами и превышать план по выручке — Разрабатывать детальные стратегии по работе с аккаунтами для донесения уникального ценностного предложения Legion — Использовать отраслевую экспертизу и контакты для формирования пула возможностей на уровне руководителей предприятий — Вести сделки на всех этапах продаж, выстраивая отношения и сотрудничая с ключевыми внешними и внутренними заинтересованными сторонами — Создавать убедительные бизнес-обоснования и расчёты ROI для каждой возможности — Поддерживать точные и своевременные данные о клиентах, воронке и прогнозах в Salesforce CRM Требования: — Опыт продаж технологий не менее 8 лет — Опыт закрытия сделок на сумму от $500 тыс. до $2 млн ARR при годовом плане от $2 млн — Опыт продаж SaaS-приложений — Отличные навыки переговоров, письменного и устного общения — Опыт работы как в крупных, так и в малых компаниях, опыт в стартапах приветствуется — Желателен опыт продаж решений Workforce Management (WFM) или Human Capital Management (HCM) — Приветствуется опыт продаж в сферах розничной торговли, гостеприимства, дистрибуции, складов и здравоохранения Личные качества: — Проактивность, умение вызывать уважение благодаря интеллекту, трудолюбию и настойчивости — Страсть к передовым технологиям — Умение работать в условиях ограниченной информации — Отличные коммуникативные навыки, способность доносить сильные сообщения, резонирующие с клиентами — Опыт построения позитивных отношений с коллегами — Внимательный слушатель, умеющий учиться у клиентов и использовать их обратную связь — Сильная трудовая этика, ориентированность на приоритетные задачи и результат — Безупречная честность, надежность и высокие моральные качества Условия: — Зарплата от $155,000 до $160,000 в год + комиссия + акции — Полностью удалённая работа — Медицинское, стоматологическое и офтальмологическое страхование без ежемесячной премии, доступное с первого дня — План 401k — Оплачиваемый отпуск и праздничные дни — Родительский отпуск — Ежемесячные выплаты на оздоровление и обеды О компании: Legion Technologies предлагает инновационную платформу управления персоналом с использованием ИИ, которая помогает бизнесам оптимизировать эффективность труда и повысить вовлеченность сотрудников. Компания стремится улучшить условия работы почасовых сотрудников, составляющих большую часть рабочей силы США, предоставляя гибкие и современные решения. Команда Legion распределена по всему миру и работает удаленно. Контакт для инвалидов, нуждающихся в помощи при подаче заявки: recruiting@legion.co

Задачи: — Разрабатывать стратегию выхода на рынок для укрепления лидерства Legion и достижения бизнес-целей — Понимать потребности клиентов и выстраивать соответствующую стратегию — Строить отношения с ключевыми лицами и заинтересованными сторонами в целевой клиентской базе, участвовать в закрытии стратегических сделок — Играть ключевую роль в бизнес-планировании, сотрудничать с другими топ-менеджерами для разработки планов и ресурсов, влиять на долгосрочную бизнес-стратегию — Работать кросс-функционально с руководителями продаж, маркетинга и продуктов для достижения и превышения целей по выручке — Закрывать сделки с крупными предприятиями, превышая план по выручке — Разрабатывать детальные стратегии по аккаунтам для коммуникации уникального предложения Legion — Использовать отраслевой опыт и связи для формирования пула возможностей на уровне руководителей предприятий — Вести сделки на всех этапах продаж, выстраивая отношения и сотрудничая с ключевыми внешними и внутренними участниками — Создавать убедительные бизнес-обоснования и расчеты ROI для каждой возможности — Поддерживать точные и своевременные данные о клиентах, воронке и прогнозах в Salesforce CRM Требования: — 3-5 лет опыта в продажах корпоративных технологий — Опыт закрытия сделок на $1M ARR при квоте $2M+ в год — Сильный опыт продаж SaaS-приложений — Отличные навыки переговоров, письменного и устного общения — Опыт работы как в крупных, так и в малых компаниях; опыт в стартапах приветствуется — Желателен опыт продаж решений Workforce Management (WFM) или Human Capital Management (HCM) — Приветствуется опыт продаж в отраслях розничной торговли, гостеприимства, дистрибуции, складирования и здравоохранения Условия: — Зарплата $135,000 - $185,000 в год + комиссия + акции — Полностью удаленная работа — Медицинское, стоматологическое и офтальмологическое страхование без ежемесячной премии с первого дня — План 401k — Оплачиваемый отпуск и праздничные дни — Родительский отпуск — Ежемесячные выплаты на оздоровление и обеды Контакт для инвалидов и вопросы по политике конфиденциальности: recruiting@legion.co

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 part of Anthropic’s Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Engineer will own the validation, standardization, and deployment of physical security technology across Anthropic’s rapidly expanding global office portfolio. This role bridges the gap between technology selection and production-ready operation — ensuring that every security platform deployed is rigorously tested, properly integrated with enterprise infrastructure, fully documented, and built for scale. You’ll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You’ll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic’s infrastructure before going live. Your work will directly determine whether Anthropic’s security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint. Responsibilities: Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production Support colleagues’ security applications through InfoSec review processes, ensuring new tools meet Anthropic’s information security and compliance requirements Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion Initiate onboarding of deployed hardware and systems into Anthropic’s health monitoring platform to ensure operational visibility from day one Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently You may be a good fit if you: Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices Are comfortable with 25% travel for site deployments, commissioning, and validation Strong candidates may have: Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments Experience with Anthropic’s specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai , Ambient.ai , SureView, Envoy Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation Experience with health monitoring and observability platforms Knowledge of SOC 2 compliance, GDPR, and physical security compliance frameworks Experience with change management, configuration control, and version-controlled infrastructure documentation Deadline to apply: None. Applications will be received on a rolling basis. 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: $180,000 — $230,000 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.

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Location: Remote - Alabama ; Remote - Alaska ; Remote - Arkansas ; Remote - Delaware ; Remote - Florida ; Remote - Georgia ; Remote - Indiana ; Remote - Maryland ; Remote - Massachusetts ; Remote - New Hampshire ; Remote - New Jersey ; Remote - New York ; Remote - South Carolina ; Remote - Texas Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We are looking for detail-oriented Voice Specialists to evaluate the performance of AI models through real-time, voice-based conversations. In this role, you will interact with two different AI models using the same assigned scenario, carefully compare their responses, and provide structured evaluations based on defined quality criteria. The goal of the evaluation is to create a fair, consistent comparison between models and identify which model delivers the stronger overall conversational experience. What You’ll Own: Review an assigned scenario and roleplay a natural conversation with two different AI models . Conduct comparable conversations with Model A and Model B, keeping the scenario, conversational approach, and overall interaction as consistent as possible. Maintain approximately the same number of conversational turns with each model to support a fair comparison. Record your voice during each interaction and pay close attention to the quality and behavior of the model's responses. Evaluate each model across five defined evaluation dimensions . Identify and categorize relevant error clusters that may occur in the audio or conversation. Compare the performance of Model A and Model B based on the evaluation criteria and your observations. Select the model that demonstrated the stronger overall performance according to the defined evaluation framework. Write a detailed rationale explaining your final preference, referencing specific examples and observations from both conversations. Apply evaluation guidelines consistently across different scenarios and model interactions You’ll Thrive in This Role If You Have Bachelors Degree Strong attention to detail and ability to notice subtle differences in conversational quality. Excellent listening and comprehension skills. Strong written communication skills, particularly the ability to explain observations clearly and objectively. Ability to follow detailed evaluation guidelines consistently. Comfort speaking naturally and roleplaying different conversational scenarios. Ability to compare two interactions fairly without allowing personal preferences to influence the evaluation. Strong critical-thinking and analytical skills. Reliability and consistency when completing structured evaluation tasks. Familiarity with AI assistants, voice-based AI, or conversational systems The expected hourly salary range for this position is $20-$25 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: In Office - San Jose, California Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We're building a dedicated reviewer team to evaluate complex, real-world agentic AI workflows, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. This isn't routine content moderation: reviewers work through ambiguous, multi-step scenarios where judgment calls matter as much as checklists. You'll operate inside isolated test environments, apply structured rubrics, and help calibrate what "safe and policy adherent agent behavior" actually looks like. What You’ll Own: Review multi-step agent task trajectories against rubric-based criteria covering task success, safety, and policy adherence Evaluate whether an agent respected user agency and informed consent — not just whether it followed literal instructions Apply privacy guardrails when reviewing tasks involving sensitive or personal data Work inside isolated test environments, including verifying environment resets between test runs to prevent cross-contamination Flag and escalate safety-relevant or ambiguous findings through defined escalation paths You’ll Thrive in This Role If You Have: Bachelor's degree or equivalent practical experience 2–5+ years in quality review, QA/QC, trust & safety, content moderation, data annotation, or a similarly judgment-intensive review role Strong written communication – you can justify a scoring decision clearly enough for someone else to audit it Comfort with ambiguity and structured decision-making under a rubric, rather than needing a fixed rulebook for every case Baseline understanding of AI/ML concepts and how AI agents complete tasks (can be learned through onboarding, but some familiarity helps) The expected hourly salary range for this position is $50-$55p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: In Office - San Jose, California Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We are standing up a dedicated onsite team to evaluate complex, real-world agentic AI workflows for a frontier AI customer. Reviewers work through ambiguous, multi-step scenarios inside isolated test environments, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. The Quality Lead is the person accountable for whether that output is any good. This is a senior individual contributor role. You will not manage the reviewers — that sits with the Engagement Manager — but you set the standard they are held to. You own the audit sample, run calibration, keep the rubric usable as real cases stress it, and train reviewers into the work. You are also the deputy: when the Engagement Manager is out, the engagement runs on you. The quality approach here is not fully defined. We expect you to build it in partnership with the customer's quality leads, or at minimum to take what they have, run it honestly, and come back with specific recommendations for where it falls short. What You’ll Own: Own the quality system for the engagement: audit design, sampling strategy, scoring standards, and how quality gets measured and reported Build that system with the customer's quality leads where none exists, and where one does, operate it and recommend concrete improvements based on what the data shows Re-score a sample of reviewer output as a second pass; identify error patterns rather than isolated mistakes Run calibration sessions: surface disagreement, work it to resolution, and document the reasoning so the outcome holds for future cases Maintain rubric health — flag criteria that are ambiguous, overlapping, or silent on cases the team keeps hitting, and drive revisions through the customer Train and onboard new reviewers, including nesting plans, ramp criteria, and the judgment call on when someone is production-ready Give the Engagement Manager the evidence behind performance conversations: who is drifting, on what, and whether coaching is working Report quality trends to the Engagement Manager and, alongside them, to the customer Deputize for the Engagement Manager on delivery operations during absences Maintain information security, privacy, and facility access practices required by the customer's onsite environment You’ll Thrive in This Role If You Have: Bachelor's degree or equivalent practical experience 4+ years in quality assurance, quality management, or senior review work within annotation, evaluation, trust and safety, or a similarly judgment-intensive domain Direct experience owning a quality function: you designed the audit, not just executed someone else’s Significant experience with AI/ML evaluation work: annotation, red-teaming, RLHF, model or agent evaluation, or trust and safety review Hands-on familiarity with agentic systems: tool use, multi-step task execution, sandboxed environments, and common failure modes Demonstrated ability to run calibration with peers — including holding a position under disagreement and changing it when the argument is better Strong written communication; able to document a scoring standard clearly enough that a reviewer can apply it and an auditor can check it Comfortable in spreadsheets and in a dashboarding tool, with enough Python or SQL to pull and slice your own data (you will not be asked to build interfaces) Experience training or onboarding reviewers into rubric-based work The expected hourly salary range for this position is $75-85 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. The Deputy Head of Transaction Monitoring is a senior 2LOD leadership role responsible for the execution, oversight, and continuous transaction monitoring framework across all regulated entities. The role sits within the Group Financial Crime & Compliance function and reports directly to the Head of Transaction Monitoring (TM). The TM team is being built from the ground up and the Deputy Head is a foundational hire. The successful candidate will play a direct role in shaping how the function operates, establishing its culture, and setting the standard for how TM is executed across the Group. The decisions made and ways of working established in the early months of this team will define its trajectory. The TM function is mid-build across detection capability, operating model, and platform infrastructure. The Deputy Head will drive delivery across a complex, multi-jurisdictional operating model — translating regulatory expectations into working controls, challenging first-line frameworks with credibility and precision, and providing structured, evidence-based oversight of TM risk across the Group. All accountabilities are exercised on the direction of the Head of TM, or independently where the Head of TM is unavailable and the matter cannot be deferred without breaching a regulatory or operational obligation. The Head of TM retains ownership of the framework, regulatory relationships, and strategic decision-making. In the absence of the Head of TM, the Deputy will provide full operational continuity, maintaining oversight, escalation, and regulatory responsiveness across the Group Responsibilities TM Framework & Policy Shape and evolve the Group TM framework with the Head of TM — policies, procedures, rule design methodology, threshold calibration, and the quality assurance regime. Review and challenge Scenario Engineering outputs, rule specifications, threshold proposals, and back-testing results ahead of Head of TM sign-off. Own the quality bar for QA and Governance outputs, ensuring they meet the standard expected by senior management and regulators. Shape rule change proposals and threshold recalibrations through the change management process. Drive TM minimum standards across entities, partnering with local Heads of Compliance to close gaps. Delegated Authority & Decision-Making Hold formal delegated authority from the Head of TM, stepping into the primary TM decision-maker role whenever they're unavailable and a decision can't wait. In this capacity, you will: Approve withdrawal holds, account restrictions, and alert escalations. Review L3 SAR referral packs for completeness and evidential sufficiency before they go to the entity MLRO. Approve interim rule threshold changes that can't be deferred, recording the rationale for the Head of TM to confirm on their return. Deputise fully for the Head of TM during leave or absence, holding full decision-making authority within the governance framework for that period. Regulatory Engagement Working under the Head of TM's direction, and independently when they're unavailable, you will: Support the Head of TM in managing regulator relationships on TM matters. Respond to supervisory queries, attend regulatory meetings, and represent the TM function at inspections. Support the preparation and delivery of regulatory submissions, responses to supervisory feedback, and remediation communications. Coordinate with entity MLROs and Heads of Compliance on jurisdiction-specific TM requirements. Team Leadership Provide day-to-day leadership and line management of TM specialist teams, alongside the Head of TM. Lead recruitment, onboarding, and development of TM analysts across pillars. Chair TM governance meetings, including in the Head of TM's absence. Act as the senior escalation point for analysts, bringing decisions to the Head of TM where needed. Drive risk culture across the TM function through visible leadership, consistent challenge, and clear communication. Governance & Oversight Uphold the governance boundary between TM compliance decisions and commercial interests, escalating to the Group Head of Compliance and Regulatory Risk if the Head of TM is unavailable to resolve a conflict. Ensure 1LOD Alert Operations operates within the framework set by 2LOD, escalating any breach to the Head of TM. Maintain audit-ready documentation across all TM governance activity. Act as a senior escalation point for material TM issues, control failures, and emerging risks across all entities Requirements Extensive experience in financial crime compliance, with at least 3 years in a senior TM role (team lead, deputy head, head of TM, or equivalent) within a regulated financial services firm. Experience in the CFD, forex, or leveraged derivatives sector , or with investment firms offering similar products. Demonstrable experience making autonomous decisions on TM matters: alert escalation, SAR filing recommendations, account restriction approvals, and rule threshold adjustments. Experience engaging directly with the FCA or another Tier 1 regulator (CySEC, ASIC, MAS, BaFin) on TM or financial crime matters, including responding to supervisory queries and attending regulatory meetings. Experience with TM framework design or significant enhancement, including rule design methodology, threshold calibration, and quality assurance. Working knowledge of AML/CTF regulatory requirements in at least two of: UK (FCA/MLR 2017), EU/Cyprus (AMLD/CySEC), Australia (AML/CTF Act/AUSTRAC), UAE (CBUAE). Experience managing or overseeing a team of financial crime or TM specialists. Strong written and verbal communication: the role produces materials for senior management, the CCO, the Board, and regulators What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Applicable for Poland: Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

About CircleCI Engineering: CI/CD is being reinvented with AI agents that write code, trigger builds, interpret failures, and propose fixes. CircleCI is building new interfaces for developers to understand and trust this work. Team-Agnostic Placement: Hiring is for CircleCI as a whole, not a specific team. Placement depends on where your strengths create the most leverage. Possible areas include CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The role involves full-stack ownership and high craftsmanship. What You'll Do: — Build AI-natively, using AI as the default approach to problem solving. — Invent new interfaces for software delivery that support autonomous pipelines and human judgment. — Own the full stack by building features end-to-end in Go, React, and TypeScript. — Focus on reliability and responsiveness as design concerns. — Champion observability using Honeycomb, Datadog, and Rollbar to improve systems. — Proactively identify and close gaps without being asked. What You'll Bring: — AI-native engineering practices with daily use of AI tools and understanding of their impact. — At least 3 years of production full-stack experience with a track record of shipping real products. — Strong skills in React and TypeScript, and comfortable owning backend services in Go including API design, data modeling, and service integration. — System design skills with conscious tradeoffs and documentation. — Production mindset focusing on latency, responsiveness, and reliability in distributed environments. Additional Information: The role is remote based in Ontario, Canada. Salary range is $127,000 to $159,000 CAD per year. CircleCI is an equal opportunity employer and provides accommodations for individuals with disabilities during the application and interview process.

Location: In Office - San Jose, California Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We are standing up a dedicated onsite team to evaluate complex, real-world agentic AI workflows for a frontier AI customer. The Engagement Manager owns this team and this engagement: a group of ten reviewers and one QA lead working inside isolated test environments, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. This is a delivery leadership role with a strong customer-facing component. You are the customer's primary day-to-day contact at the site, accountable for throughput, quality, and turnaround, and responsible for identifying where the engagement should grow next. You will not be scoring trajectories as a daily task, but you need enough technical depth to audit the team's work yourself and defend a scoring decision in a room with the customer's technical leads. What You’ll Own: Own end-to-end delivery for the onsite team: throughput, quality, turnaround, and capacity against committed volumes Manage and develop a team of eleven, including hiring, onboarding, performance management, and retention Serve as the primary onsite point of contact for the customer's program and technical leads; run recurring reviews, report on delivery metrics, and resolve issues before they escalate Audit reviewer output directly — sample trajectories, check rubric application, and assess whether scoring rationale would survive customer review Partner with the QA lead on calibration cycles, quality metrics and evaluation, and rubric refinement; arbitrate disagreements that calibration does not resolve Own the escalation path for safety-relevant and ambiguous findings, including judgment on what reaches the customer and how quickly Identify expansion opportunities within the account: adjacent workstreams, new task types, additional capacity, and scope the work with internal delivery and commercial teams Forecast staffing and cost against the engagement's commercial model, and flag variance early Maintain information security, privacy, and facility access practices required by the customer's onsite environment You’ll Thrive in This Role If You Have: Bachelor's degree or equivalent practical experience 5+ years of professional experience, including direct management of a delivery team of 10–20 people Track record as the customer-facing owner of a services or delivery engagement with an enterprise or technology client, including metrics reporting and issue escalation Significant experience with AI/ML evaluation work: annotation, red-teaming, RLHF, model or agent evaluation, or trust and safety review Ability to read rubric-scored work critically and form an independent view of whether a score is correct Strong written communication; able to produce reporting and escalation memos that a technical customer will accept without rework The expected hourly salary range for this position is $75-85 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

About Delinea: Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea’s leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle – across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities – including workforce, IT administrator, developers, and machines – assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. What You Will Own: — Price and packaging architecture across the portfolio: tiering, licensing metrics, add-on structure, bundling. — Proposal quality into the monthly Price Committee: analysis, financial model, recommendation, and action register through to closure. — Discount governance, including band policy and guardrails. — Monetization for new categories: NHI governance, AI agent identity, StrongDM, consumption-based licensing. — Commercial readiness at launch, ensuring packaging and pricing ship with the product. — The single source of truth for pricing, packaging and quoting guidance, partnering with Product Marketing on seller enablement. — Price realization, attach rate and competitive position, informed by competitor pricing, market benchmarks and win/loss data. What We Are Looking For: — 12+ years across pricing strategy, monetization, product management or product marketing, including 5+ years owning pricing as a named function. — Experience building a monetization function where none existed: cadence, governance, documentation, analytical bench. — Experience preparing and defending recommendations to a formal pricing committee or equivalent decision body. — Demonstrated design of tiered packaging for enterprise software, strong financial modeling (pricing impact, ARR and expansion, discount optimization). — Credibility with executive peers, holding a position on pricing under pressure without direct authority over sales or finance. Strongly preferred: — Cybersecurity or identity security (PAM, IAM, SIEM, endpoint); exposure to NHI, machine identity or secrets management. — Consumption-, usage-, or outcome-based pricing models alongside seat-based subscription. — Working knowledge of CPQ (Salesforce CPQ, Apttus); pricing through M&A integration or a major commercial model transition. MBA a plus. Why Now: Pricing at Delinea has been carried by people doing it well alongside a full portfolio, and the surface area keeps growing. The opportunity is to make monetization a professional discipline, with a decision forum that already works. This role is built for owning monetization end-to-end rather than managing an approval queue. Why work at Delinea? — Meaningful work, a culture of innovation and great career progression. — Core values: Spirited, Trust, Respect, Ownership, Nimble, Global. — Competitive salaries, meaningful bonus program, excellent benefits including healthcare insurance, pension/retirement matching, life insurance, employee assistance program, time off plans, and paid company holidays. Delinea is an Equal Opportunity and Affirmative Action employer prohibiting discrimination and harassment of any type. Candidates are required to complete comprehensive criminal background check, verification of education, and employment, and social media sites may be reviewed upon conditional offer of employment.

Location: 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 As a Customer Success Manager on Anthropic's Public Sector team, you will be the post-sales trusted advisor helping national security customers realize the value of Claude and turn their investment into mission impact. You'll combine your customer success expertise with technical fluency to drive adoption of Claude Code, the Claude API, and Claude for Government (C4G) on classified infrastructure delivered through a cleared cloud provider, while maintaining our high standards for safety, security, and discretion. Working closely with our Sales, Applied AI, Product, Engineering, and Policy teams, you'll guide customers from deployment through enablement, model migration, renewal, and expansion. You'll develop genuine partnerships with customers' AI leadership, platform and compute teams, security and accreditation officials, and mission operators—and with the cleared cloud providers and system integrators that deliver alongside us. Your understanding of their mission, how they accredit and govern capabilities on classified fabrics, and how they evidence value to oversight will help them deliver decision advantage. Drawing on both your national security expertise and technical knowledge, you'll serve as a strategic advisor throughout their journey with us—helping them navigate constraints that don't exist in commercial or federal civilian deployments: classified-fabric accreditation, fixed compute capacity, compartmentation, limited telemetry, and need-to-know discipline. Much of this work happens onsite, in the customer's spaces, on their systems. Your role focuses on driving consumption and adoption of Claude across mission workloads, standing up enablement and change management suited to a cleared, mission-driven workforce, identifying and hardening the workloads that matter most to the mission, and demonstrating value in unclassified terms that can leave the building and support renewal and expansion. The insights you gather will directly inform our research priorities, product roadmap, and national security strategy—making you a key voice in shaping how Anthropic builds and delivers AI systems for the most demanding missions. Key responsibilities: Partner with the account executive and Applied AI architect to deeply understand the customer's mission requirements and translate them into an account and success plan, ensuring alignment between mission objectives, the customer's investment, and technical implementation Serve as the primary post-sales advisor to the customer throughout their Claude adoption journey, from deployment through enablement, model migration, renewal, and expansion. You will need to build trusted relationships across the customer's senior stakeholders—AI leadership, platform and compute teams, security and accreditation officials, contracting, and mission operators—and coordinate internally across multiple teams and with cleared cloud providers to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Government on classified infrastructure—managed configuration, capacity and throughput planning, and workload onboarding—with a working understanding of accreditation requirements (FedRAMP High, IL5/IL6, classified-fabric accreditation) Create and deliver compelling enablement and executive content tailored to different audiences. You will need to spread the gamut from hands-on Claude Code enablement for engineering teams (Train the Trainer, managed configuration as the "paved road," Center of Excellence development) up to mission-value conversations with senior agency leadership, in unclassified language that can leave the building Help the customer develop evaluation frameworks and measure adoption and value without direct telemetry—provider capacity reports, customer-run dashboards, workload registries, and agreed leading indicators—and guide model migration and release readiness: eval gates built from their workloads, staged cutovers off end-of-support models, and realistic expectations about what lands on their fabric and when Drive consumption and adoption: separate under-pacing from burst saturation of a fixed compute pool, smooth and onboard workloads before asking for capacity, discover new mission workloads across compartmented organizations, and document value realized in mission-outcome terms (decisions accelerated, coverage, timeliness, findings produced) Own Executive Business Reviews that function as discovery and alignment—leaving executives with sponsor commitments, mutual next steps, and a mission-outcome narrative that supports the renewal decision—and serve as the primary conduit between the customer, cleared cloud providers, and Anthropic Identify common adoption and integration patterns and hero workflows that demonstrate mission transformation, and contribute insights back to our Product, Engineering, Research, and Policy teams—while maintaining strict separation of classified and unclassified channels and escalating correctly (e.g., 'Claude cut a high-volume analytic triage queue from days to hours') Work onsite frequently at customer facilities for enablement, workshops, and relationship building, on the customer’s systems and within their security and need-to-know rules Maintain strong knowledge of the latest developments in LLM capabilities, agentic and Claude Code implementation patterns, and national security AI policy You may be a good fit if you have: Due to U.S. Government contract requirements, this position requires U.S. citizenship and an active TS/SCI security clearance with a current full-scope polygraph (a TS/SCI with CI polygraph may be considered where crossover is supportable) Must have prior experience working with US national security (defense and/or intelligence) agencies —ideally at the level of AI leadership, platform, and compute teams rather than a single program office—and a working knowledge of how national security agencies accredit, budget, govern compute, and measure mission (including the difference between FedRAMP High, IL5/IL6, and classified-fabric accreditation, and the role of cleared cloud providers and system integrators) 5+ years of experience in customer-facing roles such as Customer Success Manager, Technical Account Manager, Solutions Architect, or Consultant, with experience navigating complex stakeholder environments; able to work onsite at customer facilities in the National Capital Region 3-4 days per week Experience driving success with consumption-based products (tokens, throughput, capacity) as well as seat-based products, including measuring adoption and value when you cannot see usage directly Technical fluency with AI/ML concepts, API integration patterns, and agentic tooling such as Claude Code; familiarity with common LLM frameworks, tools, and evaluation approaches, and hands-on experience building something with an LLM API or coding agent, is a strong plus Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, from engineering and platform teams to security and accreditation officials to senior national security leadership Judgment and discretion: never over-promises on dates, capabilities, or documentation; practices need-to-know as a reflex; keeps composure under political and competitive pressure; strategic mindset to identify mission transformation opportunities and translate them into actionable expansion plans Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities—advocating for customer needs across internal (Applied AI, Policy, Research, Security) and external (cleared cloud provider, system integrator, program office) stakeholders Passion for thinking creatively about how to use AI in a way that is safe and beneficial for the national security mission, and ultimately furthers the goal of advancing safe AI systems A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality—you're a true team player The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $350,000 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: Busan, South Korea Workplace: OnSite The Company: Outschool’s mission is to inspire kids to love learning. In our fast-changing world, the traditional educational system struggles to meet the diverse and evolving needs of young learners. Outschool reimagines this system, offering flexible and engaging learning experiences as a supplement and alternative to traditional education. By connecting learners with a global community of teachers and peers through our online platform, we make learning personal, dynamic, and deeply human. We've made significant strides since launching our marketplace of live online classes in 2017. Finding initial success with secular homeschoolers, we then expanded to enrichment learning to meet the needs of a wider audience, growing our business 16x since 2019. Post-pandemic, we have evolved our platform to power academic learning, incorporated AI, and have begun to grow our international community. We're proud to have served over 1.5M passionate learners with more than $100M in annual bookings. Driving disruptive, positive change in education is rewarding and hard. Outschool team members are encouraged to challenge themselves, take risks, and grow in their careers. We look for talented people whose sense of urgency, innate curiosity, and determination to drive impact will help Outschool achieve outsized results in pursuit of our mission. We invite you to be part of an ambitious team dedicated to ensuring every learner can navigate the future with curiosity, resilience, and a love of learning. The Role We're looking for a Senior Software Engineer, Fullstack to join our Product Engineering team in South Korea. The team’s mission is to build high-quality product experiences that help learners, families, and educators connect and succeed on Outschool. You'll own challenging problems across the stack, from designing intuitive user experiences in React, to building scalable backend systems and APIs, to evolving our data models and architecture, to improving product quality and performance, to using AI-native tools and approaches to help us build and iterate faster. We are an effective team of engineers distributed across the US, Canada, and South Korea. Our philosophy is to start small and then intentionally iterate to test our assumptions and learn quickly. We're iteratively building up a complex product for a highly engaged audience. This role requires working from our Haeundae, Busan office Tuesday–Friday from 7:00 AM to 3:00 PM. Mondays are remote. Our Stack: - Product Engineering - TypeScript · React · Node.js · GraphQL/Apollo · PostgreSQL · OpenSearch - Our engineers work across the full stack, from building polished user experiences to designing APIs, data models, and backend services. - Infrastructure & Developer Platform - AWS (EKS, RDS, S3, Lambda) · Terraform · GitLab · Prometheus/Grafana · OpenTelemetry - Product engineers partner closely with our Infrastructure team and are empowered to understand, deploy, and operate the systems they build. - AI-Native Development - We use AI throughout the software development lifecycle, including planning, implementation, testing, debugging, and code review. - We're also actively incorporating AI into the Outschool product and exploring new ways AI can improve learning experiences for families, learners, and educators. Core Responsibilities: - Product development: Build high-quality product experiences for learners, families, educators, and partners across the full stack, from React and TypeScript in the frontend to GraphQL, Node.js, PostgreSQL, and backend services. - Technical ownership: Own projects from problem definition through design, implementation, launch, and iteration. Make pragmatic technical decisions that balance speed, quality, maintainability, and user impact. - Cross-functional collaboration: Work closely with Product Managers, Designers, Researchers, Analysts, and other Engineers to shape requirements, explore solutions, and deliver the right product—not just implement predefined specifications. - Architecture & engineering quality: Design scalable, maintainable systems and APIs. Improve application architecture, testing, performance, observability, and engineering practices as the product and team grow. - AI-native development: Use AI tools throughout the development workflow to move faster and improve quality, and help identify opportunities to incorporate AI into Outschool's product and learning experiences. - Production ownership: Deploy and operate the software you build. Participate in on-call, investigate production issues, and use monitoring and user feedback to continuously improve reliability and product quality. - Technical leadership: Raise the engineering bar through thoughtful code reviews, technical discussions, documentation, and mentoring. Help other engineers make strong technical decisions and grow their skills. - Continuous improvement: Identify friction in our product, codebase, and development processes and proactively improve it. Look beyond the immediate task to make the team and platform more effective over time. Desired Experience & Skills: - 7+ years of professional software engineering experience - Strong experience building modern web applications with React, TypeScript, and Node.js - Experience designing and building APIs and backend services, ideally using GraphQL, REST, or similar technologies - Experience working with relational databases such as PostgreSQL, including data modeling and query design - Experience owning complex technical projects from design through implementation, launch, and ongoing operation - Understanding of software architecture, testing, performance, reliability, and maintainability in production systems - Experience collaborating closely with Product Managers, Designers, and other engineers to shape solutions, not just implement requirements - AI-forward approach: you actively use AI tools in your workflow, can prompt effectively, validate output critically, and know when to override or take a different approach - Ability to provide technical leadership through code reviews, design discussions, documentation, and mentoring other engineers - Intermediate or higher English reading, writing, listening, and speaking skills; our interview process and daily engineering work are conducted in English Other Considerations: - Experience in EdTech or building products for learners, educators, or families - Familiarity with search and discovery systems - Familiarity with payment APIs (e.g. Stripe) - Experience at a fast-paced startup or high-growth company Benefits in South Korea: - Coworking office located directly at exit 11, Jangsan Station in beautiful Haeundae, Busan. - Necessary equipment (MacBook, monitor, etc.) and software for work provided - Finish work early in the day - working hours from 7AM - 3PM. - Flexible vacation, use whenever you like. Korean national holidays plus 15 extra days per year. - Invitation to join the annual company retreat once per year (flight to United States, hotel, meals paid for by company).   Benefits & Culture: At Outschool, we believe that taking care of one another enables us to do our best work. To us that means: - Shared Financial Success: Competitive salaries, stock options, and retirement plans. - Health: Comprehensive medical, dental, vision, disability, and life insurance. - Wellness: Annual wellness stipend, access to coaching & therapy, and pet wellness plans. - PTO & Family Benefits: Generous PTO and family leave policies. - Hybrid & Remote-Friendly: Outschool has a distributed team across the U.S. and Canada and an office in San Francisco. Bay Area-based employees work in the office part of the week and receive commute-related benefits. Team members outside the Bay Area remain fully remote, with support for expensable home office setup and internet to stay connected no matter where you are. - Lifelong Learners: Annual budgets for professional development and DEI learning; budgets for children to take Outschool classes. - Community Impact: Outschool matches employee donations to eligible charities and supports Outschool.org http://Outschool.org’s nonprofit programs. Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience. If you require a reasonable accommodation to participate in the job application or interview process, please contact recruiting@outschool.com.   Benefits packages are included for full-time employees only. Please note benefits and perks may vary for employees based outside of the US and Canada.   Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada, unless specifically indicated otherwise.   Once you submit your application, Outschool will process your personal data to evaluate your candidacy for employment. Unless specifically indicated otherwise, we hire employees only in the U.S. and Canada. Applicants else where should be aware that we may discard your application upon submission or we may ask if you would like us to retain it later should there be consideration (this is not typical at all). If you are selected for interviewing, your data will be shared with interviewers and personnel involved in that process. If not hired, your application will be retained for one year in case there is another suitable role. You may opt out of this at any time. Please see our Employee/Applicant Privacy Notice https://outschool.com/pages/privacy-Emp for more detailed information. If applicable, as you progress through the process, we will be clear about what information is being asked for and what happens with that information.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box is on a mission to power how the world works together. Box AI is central to that mission—bringing intelligent assistance and agentic workflows to our customers across web, mobile, and desktop. The AI Experiences team works on the core user experiences that bring Box AI to life across Box products We’re looking for a Senior Software Engineer to lead the design and delivery of cross-platform AI experiences with speed, quality, and strong technical judgment. You will own or co-own team-level initiatives across web & mobile that ship ship delightful Box AI user experiences to customers. Your primary focus will be on front-end architecture in React and React Native while partnering closely with backend engineers and cross-functional stakeholders. If you’re passionate about making AI the new user interface for Box content, this role is for you. WHAT YOU'LL DO You will own or co-own the design, implementation, and delivery of Box AI chat and agentic frontend experiences across all of Box's web and mobile applications, spending approximately 80% of your time on frontend development and 20% collaborating with backend engineering teams. You will shape and inform requirements alongside Product Managers and UX Designers — not just implementing specs, but helping define them, making trade-offs quickly, and driving decisions in a fast-paced environment. You will ship weekly to production, contributing daily PRs and making incremental advances toward feature delivery within one-week sprint cycles. You will help define cross-platform best practices for new feature development across web, iOS, and Android, establishing patterns and standards that scale across the team. You will uphold accessibility, performance, and quality standards through thoughtful engineering, code reviews, and testing — spending at least an hour daily on PR reviews to raise the bar for your peers. You will stay current with rapidly evolving AI model capabilities and translate them into meaningful customer value, responding quickly when new models require corresponding frontend experience changes. You will partner with backend engineering teams to define interfaces, contracts, and incremental delivery milestones, ensuring full-stack quality even as your primary focus remains on the frontend. You will participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You have 5+ years of professional software engineering experience with a strong focus on front-end development, and you bring deep expertise in React; React Native is a strong plus, but React alone is sufficient — having both is a significant advantage. You bring full-stack understanding — you are comfortable with backend APIs, system design, and defining interfaces and contracts, enabling you to collaborate effectively with backend partner teams even as your primary focus is frontend. You actively use AI coding tools — such as Cursor, Claude Code, or Codex — as a core part of your development workflow, including requirements gathering, writing tests, and feature delivery; this is a hard requirement, not a bonus. You have a demonstrated track record of shipping significant changes across multiple components or systems with minimal guidance, in fast-paced environments where you shape requirements rather than wait for them. You bring a collaborative mindset, a commitment to inclusive and accessible design, and a passion for mentoring peers and elevating engineering practices through high-quality code review. You have experience with CI/CD pipelines, A/B testing, and feature flag-driven development; exposure to GCP and cross-platform mobile architecture is a plus. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . Notice of Use of AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $198,500 — $248,000 USD

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for an Majors Account Executive, Key Customers who will be responsible for prospecting and growing existing business across the West region . You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Customer Success team. What You’ll Be Doing: Identify new opportunities to expand Grafana usage within 3-5 top existing accounts across multiple functions and business lines. Develop and maintain strong relationships at Executive level in current customers Create and execute strategic plans for defined account set Meet and exceed individual quarterly and annual sales goals Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 8+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Experience using Salesforce Familiarity with open source technology is a significant advantage Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Rewards: In the USA, the OTE (On-Target Earnings) compensation range for this role is 360,000-380,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Platform (API) is how developers and enterprises build with Claude, directly and through our cloud partners. It runs on a consumption model, and the economics move quickly as new models and capabilities launch, serving costs change, and customer usage scales. We're looking for a Finance & Strategy Lead to own planning and forecasting for the Claude Platform, run the business reviews that track its performance, and recommend how the products and business should evolve. You'll sit on the Product Finance & Strategy team and partner with leaders from product, engineering, go-to-market, and other finance teams to steer the growth of the business. This is a finance role close to the product: your forecasts and analyses will shape where the business invests and how it grows. Key responsibilities Lead financial planning and analysis for the Claude Platform (API) business across self-serve, enterprise, and cloud partner channels. Set targets for the business and drive interlock with go-to-market partners on targets Build and run the rhythm of business for the Claude Platform with product and cross-functional leaders, including monthly executive reviews with clear analyses and actionable insights to grow the business Develop and maintain financial models and scenario analyses that show how launches, pricing changes, and commitment structures affect the forecast Build business cases for new platform features and products, working with product, engineering, and go-to-market partners Serve as a trusted advisor to product and finance leaders, analyzing usage, revenue, and cost data to flag what matters and answer complex questions Automate recurring reporting and lead analyses on whether pricing and new business models are working and what to change Partner with operations, data science, deal desk, and accounting to ensure new products are billed, reported, and forecasted accurately Minimum qualifications Experience leading annual planning and forecasting for a business or product line, from assumptions through final targets Experience building driver-based forecasts for consumption-based or usage-based businesses, including reconciling top-down targets with bottom-up views Experience running recurring business reviews with executives, including explaining variances to plan and recommending actions Strong financial modeling skills in spreadsheets, and comfort pulling and analyzing your own data in SQL Experience shaping pricing, business model, or investment decisions with analysis Ability to partner with product and cross-functional teams and explain financial tradeoffs clearly, in writing and in conversation Sound judgment with incomplete data, and comfort making a call and revisiting conclusions as you learn more Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications 8+ years of experience in strategic finance, product finance, FP&A, investment banking, consulting, or a closely related analytical field Experience with infrastructure, cloud, or developer platform businesses, and a basic understanding of how compute costs and capacity drive unit economics Exposure to pricing APIs, developer tools, or cloud services Familiarity with how large language models are served, including token-based pricing and inference cost drivers Background in AI, ML, or related technologies 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 — $325,000 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: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Mysten Labs is looking for a Staff Product Designer to set the experience strategy for the DeepBook financial stack and the first-party products built around it, spanning spot trading, margin, prediction markets, liquidity, and the workflows that connect users and builders to onchain finance on Sui. This role requires strong product judgment, exceptional design craft, people leadership, and real fluency in financial markets and DeFi. You will work with product and engineering from strategy through launch, build a design team that can cover a growing product surface, and stay close enough to the work to lead critical product flows yourself. The right person knows how to make complex financial systems clear without removing the information users need to assess risk. You should be comfortable designing for retail and professional users, working through technical and regulatory constraints, and using research and product data to improve adoption, execution quality, retention, and trust. What You Will Do - Set the design vision, principles, and priorities in partnership with product, engineering, and business leadership. - Own the end-to-end experience across DeepBook spot, margin, prediction products, liquidity workflows, and related first-party applications. - Lead the design of core journeys including onboarding, funding, market discovery, order entry, transaction review and signing, portfolio and position management, collateral, liquidation risk, settlement, and recovery from failed states. - Design for distinct audiences such as retail traders, experienced DeFi users, market makers, liquidity providers, institutions, and developers without creating a fragmented product experience. - Remain hands-on in the highest-priority work by framing problems, developing concepts, prototyping, testing, and reviewing implementation quality. - Build a scalable design system and shared interaction patterns for dense financial data, charts, tables, order entry, account states, alerts, and risk communication. - Establish a practical research program using interviews, usability studies, product analytics, support feedback, and market observation. - Partner with engineering to understand protocol behavior, transaction states, latency, data dependencies, security boundaries, and platform constraints. - Work with legal, security, marketing, business development, and ecosystem teams to launch products responsibly and communicate financial concepts accurately. - Define design and product quality measures, then connect the team's work to activation, conversion, trading success, retention, support burden, and user trust. What You Will Have - 10 or more years of product design experience, including meaningful experience leading, hiring, and developing designers in a fast-moving product organization. - A portfolio that shows both exceptional individual craft and leadership impact across complex, data-dense products. - Experience designing trading, investing, fintech, payments, crypto, marketplace, or other high-stakes products where users make consequential decisions. - Fluency in DeFi and direct experience using onchain products. You can discuss swaps, order books, liquidity, routing, slippage, collateral, leverage, liquidation, settlement, smart-contract risk, and transaction signing. - Strong product judgment and a record of shaping strategy, prioritization, and product decisions with product and engineering partners. - Skill in interaction design, information architecture, visual design, prototyping, research, and systems thinking. - Experience building design systems and operating practices that improve consistency and delivery across multiple products. - Comfort working through ambiguity and making progress while product, technical, market, and legal inputs continue to change. Nice to Have - Experience leading design for an exchange, order book, derivatives or margin product, prediction market, wallet, aggregator, or institutional trading platform. - Experience with both retail and professional trading experiences, including charts, market data, portfolio analytics, and execution workflows. - Familiarity with Sui, Move, programmable transaction blocks, DeepBook, Slush, or object-based blockchain architectures. - Experience designing products in legally complex or regulated financial categories. - Prior experience as a founder, design executive, principal designer, trader, DeFi power user, or ecosystem operator. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!