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Location: Singapore, APAC About the Role iCapital Network is seeking an Associate for the International Client Solutions Asia Pacific team to contribute to the development and execution of iCapital’s international expansion strategy in the region. In this role, you will support the relationship management and business development activities of iCapital with a primary focus on Banks/Wealth Managers. iCapital’s rapid international expansion creates an opportunity for a seasoned professional to join a fast-paced, rapid-growth environment. Responsibilities Support the management and growth of relationships with Private Banks, Wealth Managers, and Multi-Family Offices across the Southeast Asia region. Assist in delivering a consultative client experience by identifying opportunities to deepen engagement across iCapital's platform and solutions. Coordinate and support internal projects, helping to develop processes, tracking tools, and operating frameworks for the team. Prepare client presentations, reports, and analyses to support business development and relationship management activities. Develop a strong understanding of private markets and alternative investments and effectively communicate iCapital's solutions and capabilities to clients and partners. Partner with cross-functional teams, including product, operations, legal, compliance, and fund management teams, to support fund launches and strategic initiatives. Gather and share market intelligence, including competitive developments, investor trends, and client feedback, with internal stakeholders. Manage day-to-day client requests and follow-ups, ensuring timely execution and a high standard of client service. Support relationship managers in identifying opportunities for client expansion, increased platform adoption, and deeper client engagement. Collaborate with Client Solutions colleagues globally on initiatives related to client development, coverage strategy, and best practices. Qualifications Solid academic credentials in relevant field 3+ years of solid work experience in the Asset- or Wealth Management industry, with a demonstrated track record in developing and managing client relationships is a must. Adequate exposure to Private Equity and/or other Private Markets asset classes, and an understanding of the distribution model is highly preferred. Entrepreneurial approach to managing projects with excellent problem-solving and analytical skills Excellent presentation and verbal/written communication skills with demonstrated capabilities to build trust, and strategically manage and influence stakeholders at all levels Familiar with AI tools and modern CRM platforms such as Salesforce, and comfortable using them to improve productivity, client coverage and reporting Highly collaborative, and able to think strategically about business opportunities and client management Ability to work independently with a strong appetite to work in a fast growing, entrepreneurial environment, are self-motivated, with a hands-on attitude Fluency in English required; ability to speak other Asian languages are a strong asset We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). For additional information on iCapital  please visit https://www.icapital.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: New York, United States Who We Are At OKX, we believe the future will be reshaped by crypto and blockchain technology. We operate a leading global crypto platform and build products and services designed to expand access to the digital-asset ecosystem. Across our global organization, we value ownership, sound judgment, collaboration, innovation, and the ability to operate effectively in a fast-moving and continuously evolving environment. Recruiting should insert the current approved OKX corporate “Who We Are” language when the position is posted. About the Team The Fraud Investigations Team (FIT) is a First Line of Defense function within OKX’s Risk organization responsible for identifying, assessing, investigating, and helping manage significant internal and external fraud risks affecting the company, its customers, personnel, and operations. FIT conducts and supports complex investigations involving digital assets, internal and external fraud, employee misconduct, insider threats, unauthorized access or misuse of information, vendor and third-party misconduct, account compromise, social engineering, collusion, conflicts of interest, and other significant fraud-related matters. The team works closely with Legal, HR, Information Security,Engineering, Physical Security, Compliance, Finance, Operations, and other functions across OKX. About the Opportunity We are looking for an experienced Senior Analyst, Blockchain Investigations & Fraud Intelligence to join FIT. This is first and foremost a blockchain investigations role requiring significant hands-on expertise tracing digital assets across complex blockchain ecosystems. The successful candidate must be capable of independently conducting sophisticated on-chain investigations, developing and testing attribution hypotheses, identifying relationships among wallets and entities, following assets through multiple chains and protocols, and translating highly technical blockchain activity into clear investigative findings. Blockchain analysis is a specialized investigative discipline. Accordingly, we are seeking someone who understands not only how to operate commercial tracing platforms, but also the underlying blockchain architecture, transactional mechanics, attribution methodologies, clustering techniques, tracing limitations, and evidentiary considerations necessary to reach reliable conclusions. The role extends beyond on-chain analysis. The Senior Analyst will combine blockchain intelligence with enterprise data, system logs, transactional records, open-source information, and other evidence to support complex fraud and insider-risk investigations. The position will also provide analytical support to the Global Physical Security Team (PST) on selected protective-intelligence and threat-assessment matters. The Senior Analyst will directly manage one Analyst and will be expected to serve as a subject-matter resource for blockchain investigations and analytical methodology across FIT. What You’ll Be Doing Blockchain Investigations & Digital-Asset Intelligence Lead and conduct complex blockchain investigations and transaction tracing across multiple wallets, counterparties, entities, blockchains, tokens, protocols, and digital-asset ecosystems. Trace the origin, movement, conversion, layering, consolidation, and ultimate disposition of digital assets , including activity spanning multiple intermediaries and blockchain environments. Conduct investigations using tools such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable blockchain intelligence platforms , while understanding the methodologies and limitations underlying platform-generated attribution. Analyze activity involving centralized exchanges, self-hosted wallets, decentralized exchanges, cross-chain bridges, mixers, privacy-enhancing technologies, DeFi protocols, smart contracts, stablecoins, NFTs, OTC activity, gambling platforms, and other relevant ecosystems . Trace assets across multiple chains and cross-chain transactions , identifying continuity of funds where technically supportable and clearly documenting assumptions or limitations where definitive attribution is not possible. Analyze transaction graphs, address relationships, behavioral patterns, clusters, counterparties, timing, amounts, transaction sequencing, and other relevant blockchain indicators. Understand and appropriately apply wallet-clustering and attribution methodologies , including the limitations and potential for false attribution associated with particular heuristics. Independently evaluate blockchain intelligence rather than relying solely on automated labels, risk scores, or vendor-generated attribution. Corroborate on-chain findings, where appropriate, with internal account records, KYC / KYB information, transaction data, access information, open-source intelligence, legal-process returns, or other available evidence . Identify relationships among blockchain addresses, OKX accounts, external counterparties, individuals, organizations, vendors, affiliates, and other relevant entities. Reconstruct complex transaction flows and create clear fund-flow diagrams, transaction maps, timelines, and visualizations that allow investigators and nontechnical stakeholders to understand the movement of assets. Analyze blockchain activity associated with suspected fraud , theft, account takeover, social engineering, insider activity, collusion, payment diversion, asset misappropriation, or other misconduct . Identify new wallets, counterparties, entities, or transactional patterns that may generate additional investigative leads. Clearly document the methodology, assumptions, confidence level, and limitations associated with blockchain findings. Distinguish between confirmed attribution , vendor attribution, analytical inference, behavioral similarity, and an unverified investigative hypothesis . Avoid presenting blockchain proximity, exposure, clustering, or a commercial risk score alone as proof of ownership, control, intent, or misconduct. Maintain current knowledge of emerging blockchain technologies, protocols, tracing methodologies, obfuscation techniques, fraud typologies, and developments affecting blockchain attribution or investigations . Fraud Investigations & Investigative Intelligence Conduct and support investigations involving internal and external fraud , employee misconduct, insider threats, vendor and third-party misconduct, collusion, conflicts of interest, asset misappropriation, unauthorized access, credential misuse, and other significant fraud risks . Combine blockchain findings with off-chain evidence to develop a comprehensive investigative picture rather than treating blockchain activity in isolation . Develop investigative hypotheses and objectively test those hypotheses against available evidence, including information that supports, contradicts, or fails to establish the hypothesis. Conduct timeline reconstruction, link analysis, relationship mapping, pattern analysis, clustering, and comparative analysis across individuals, accounts, wallets, devices, systems, transactions, and entities. Support investigations involving account takeover, impersonation, social engineering, business-email compromise, payment diversion, affiliate misconduct, and trusted-party abuse , particularly where a digital-asset, employee, vendor, or enterprise nexus exists. Analyze vendor, affiliate, partner, and other third-party activity for indicators of billing irregularities, undisclosed relationships, conflicts of interest, unusual payments, control circumvention, or other potential misconduct. Support investigative interviews by developing transaction timelines, identifying inconsistencies or information gaps, organizing evidence, and identifying appropriate areas for follow-up. Enterprise Data & Insider-Risk Analytics Analyze appropriately authorized information including system and access logs, authentication records, audit trails, customer-account activity, KYC / KYB information, transaction records, payment information, case-management records, vendor information, and relevant security telemetry . Correlate blockchain activity with enterprise data to identify possible connections among wallets, accounts, employees, customers, vendors, devices, transactions, and other relevant entities . Support investigations involving suspected unauthorized access, information misuse or exfiltration, credential compromise, control circumvention, unauthorized disclosure, or abuse of privileged access. Identify anomalous behavior or access patterns that may warrant additional investigation. Develop repeatable analytical methodologies capable of processing and correlating information from disparate systems. Use appropriate scripting, database querying, data visualization, and analytical technologies to efficiently analyze large or complex datasets. Investigative Reporting & Evidence Prepare clear, concise, and well-supported blockchain investigation reports, investigative memoranda, executive summaries, transaction-flow diagrams, link charts, timelines, and other analytical products . Explain complex blockchain concepts and transaction activity in plain language suitable for investigators, senior management, Legal, regulators, or law enforcement , as appropriate. Clearly distinguish among allegations, investigative leads, known facts, third-party attribution , analytical judgments, assumptions, information gaps, and substantiated conclusions . Ensure analytical conclusions are proportionate to the evidence and do not imply greater certainty than the underlying blockchain or other data supports. Maintain sufficient documentation to allow significant blockchain findings to be reviewed, reproduced, and understood by another qualified analyst . Preserve and handle investigative records in accordance with applicable evidence-preservation, chain-of-custody, confidentiality, privacy, access-control, and need-to-know requirements . Support appropriately authorized law-enforcement, regulatory, litigation, or legal matters in coordination with the appropriate company functions. Protective Intelligence & Physical Security Support Provide analytical support to PST on selected matters involving threats or concerning activity directed toward employees, executives, offices, events, or other company interests. Conduct authorized open-source, link, timeline, blockchain, financial, or other analytical research where relevant to understanding the identity, relationships, capabilities, or activity associated with a potential threat. Assist in evaluating available information relating to credibility, corroboration, intent, capability, access or opportunity, targeting, escalation, timing, and other relevant indicators . Prepare objective analytical products identifying known facts, analytical judgments, material information gaps, uncertainties, and appropriate confidence levels. Support PST’s assessment while preserving PST’s responsibility for protective-security decisions and operational response . Leadership & Development Directly manage and develop one Junior Analyst, including work allocation, coaching, technical development, quality assurance, and review of analytical work product . Serve as a FIT subject-matter resource for blockchain investigations and on-chain analytical methodology . Review blockchain analysis for technical accuracy, appropriate methodology, corroboration, reasonable attribution, and evidentiary support. Train and mentor junior personnel in transaction tracing, blockchain intelligence platforms, analytical reasoning, documentation, and investigative methodology. Help establish consistent standards for blockchain investigations, attribution , documentation, quality assurance, and reporting . Participate in time-sensitive investigations affecting a global organization, including occasional work outside normal business hours when required. What We Look For In You 7+ years of relevant investigative or analytical experience , with meaningful professional experience specifically conducting cryptocurrency or blockchain investigations . Demonstrated hands-on expertise independently conducting complex blockchain tracing investigations , rather than solely reviewing blockchain alerts or commercial risk scores. Advanced proficiency with one or more blockchain intelligence platforms such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable technology . Strong understanding of how blockchain intelligence platforms derive attribution, clustering, exposure, and risk information—and the limitations associated with those methodologies . Demonstrated understanding of blockchain fundamentals, including wallets and addresses, transactions, UTXO and account-based models, tokens, smart contracts, block explorers, transaction fees, confirmations, and blockchain-specific transactional structures . Strong understanding of digital-asset ecosystems including centralized exchanges, self-hosted wallets, DeFi , DEXs, stablecoins, cross-chain bridges, mixers, privacy-enhancing mechanisms, and other relevant technologies . Demonstrated ability to trace assets across multiple chains, protocols, and intermediaries and recognize when technical limitations prevent definitive continuity or attribution. Experience conducting transaction-graph analysis, wallet attribution , clustering, counterparty analysis, transaction-flow reconstruction, and investigative link analysis . Ability to critically assess blockchain attribution and distinguish among technical facts, commercial vendor intelligence, analytical inference, and unsupported assumptions . Experience integrating blockchain intelligence with off-chain evidence and enterprise information to develop investigative conclusions. Strong knowledge of fraud-investigation principles including corroboration, source evaluation, evidence preservation, timeline development, hypothesis testing, and documentation. Experience analyzing large or complex datasets and familiarity with tools such as SQL , advanced Excel, Python, Splunk, or comparable data-analysis technologies . Ability to clearly explain technically complex blockchain findings to audiences that may have little or no blockchain expertise. Strong investigative writing skills and demonstrated ability to produce accurate, concise, and defensible analytical products. Sound judgment and ability to work effectively where evidence is incomplete, conflicting, or evolving. Demonstrated discretion when handling sensitive employee, customer, investigative, security, or company information. Demonstrated experience mentoring, supervising, or reviewing the work of junior analysts or investigators. Nice to Haves Experience conducting blockchain investigations within a cryptocurrency exchange, blockchain analytics company, law-enforcement agency, regulatory organization, financial institution, intelligence function, or investigative consulting environment . Experience investigating digital-asset matters involving fraud proceeds, theft, account compromise, insider activity, social engineering, asset tracing, or complex cross-chain movement . Experience supporting asset recovery, law-enforcement referrals, subpoenas/legal process, civil litigation, regulatory inquiries, or other matters requiring defensible blockchain analysis . Experience investigating insider threats, employee misconduct, unauthorized access, data exfiltration, credential compromise, vendor fraud, conflicts of interest, or trusted-party abuse. Experience with OSINT, digital forensics, enterprise logs, security telemetry, or identity and access-management information . Experience creating custom blockchain analytics through APIs, SQL , Python, blockchain explorers, node data, or other raw-data sources , rather than relying exclusively on commercial graphical interfaces. Relevant blockchain-specific training or certifications, including certifications associated with Chainalysis , TRM Labs, or comparable blockchain-analysis platforms . Professional certifications such as CFE, CFCS, CAMS, GIAC, or comparable investigative, fraud , financial-crime, cybersecurity, or intelligence credentials . What Success Looks Like Success in this role requires significantly more than knowing how to enter an address into a blockchain analytics platform. The successful candidate should be able to receive a complex transaction, wallet, allegation, or investigative question and independently determine how to trace the activity, which chains and protocols are involved, what the available data establishes, what additional information is needed, what attribution can reasonably be made, and where the technical or evidentiary limitations prevent a definitive conclusion . The individual should be able to move seamlessly between on-chain and off-chain evidence , recognizing that a blockchain transaction may establish movement of assets without necessarily establishing the identity, knowledge, intent, or conduct of the person behind a wallet. They should also be capable of converting a highly technical blockchain investigation into a concise and defensible explanation that an investigator, attorney, executive, regulator, or law-enforcement partner can understand and act upon. At the same time, this person must be sufficiently versatile to apply the same investigative discipline to internal fraud , insider risk, enterprise data, third-party misconduct, and protective-intelligence matters when required. The hierarchy is much clearer this way: blockchain investigations are the specialized core competency; fraud /investigative intelligence is the broader mission; enterprise analytics and PST support are complementary capabilities. That should materially improve the candidate pool versus a title that makes blockchain expertise appear interchangeable with general data analytics. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,000 - $214,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for integrations between our product and external systems, including the Integrations Store. You will combine engineering leadership with hands-on technical expertise to deliver secure, reliable integrations that fit our customers' workflows. What you'll do: Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority tradeoffs visible. Delegate ownership to engineers and, as the team grows, team leads; distinguish near-term delivery from long-term capability development. Keep the role to no more than three clearly defined focus areas, with team leads taking ownership as capacity grows. Work with Product Management to define priorities, plan delivery, and translate customer needs into integration capabilities. Oversee the design, development, and maintenance of integrations, including: - Connectors to third-party applications and services. - An Integrations Store for discovering and managing available integrations. - Data mapping, validation, and synchronization between systems. - Authentication, authorization, and secure credential handling. - Monitoring, troubleshooting, and recovery from integration failures. Guide technical decisions within the assigned domain from solution design through development and production rollout, coordinating cross-cutting architecture and security decisions with their designated owners. Establish reusable integration patterns that handle retries, rate limits, duplicate events, and API version changes reliably. Own automated pipelines for building, testing, validating, and deploying integrations. Improve integration reliability, performance, and observability, and guide the team in resolving production issues. Coordinate with other engineering teams and external partners to manage dependencies and compatibility. Apply AI technologies where they improve integration development, testing, or support, with appropriate validation of outputs. Requirements What we're looking for: Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, and TypeScript. Experience building and operating AWS services in production. Hands-on experience designing and maintaining APIs and integrations with external systems. Understanding of distributed systems, asynchronous processing, data consistency, and failure recovery. Proficiency in SQL and experience with data modeling, aggregation, and query performance. Experience with secure authentication and authorization for integrations. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have: Experience writing automated integration and contract tests. Proficiency in SQL. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products with numerous endpoints. Experience maintaining integrations across multiple third-party API versions. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: Dhahran, Saudi Arabia Eram Talent is hiring for their reputed client in Dhahran, Saudi Arabia, a Business Systems & Reporting Analyst. The Business Systems & Reporting Analyst will be responsible for processing, analyzing, and interpreting large-scale data records to support data-driven decision-making processes. Sitting at the intersection of Management Information Systems (MIS) and business operations—preferably within the Learning & Development (L&D) domain—the successful candidate will synthesize complex information into actionable insights, executive presentations, and structured reports. Responsibilities Data Processing & Analysis: Extract, clean, compile, and analyze large datasets utilizing MS Excel, PDF Professional, and corporate reporting tools. Insights & Decision Support: Interpret complex data records, identify operational trends, draw meaningful conclusions, and present data-backed recommendations to management. Reporting & Documentation: Design, build, and maintain scheduled and ad-hoc reporting dashboards and presentations using MS PowerPoint and MS Excel. Domain Alignment: Partner closely with business units (specifically Learning & Development / HR) to evaluate program performance, training metrics, and operational deliverables. Process Improvement: Evaluate existing reporting workflows and systems to identify gaps, streamline data collection, and enhance reporting accuracy. Cross-Functional Teamwork: Collaborate effectively with internal teams and stakeholders to communicate analytical findings clearly and support ongoing business projects. Requirements Education: Bachelor’s Degree in Management Information Systems (MIS) or a closely related field from a reputable university Work Experience: Minimum 3+ years of hands-on experience in data analysis, data processing, and business reporting. Prior work experience within the Learning & Development (L&D) or HR domain is strongly preferred. Technical Skills: Advanced proficiency in MS Excel (data manipulation, formulas, pivot tables, modeling) and MS PowerPoint . Demonstrated experience with PDF Professional tools for document processing and reporting. Core Competencies: Strong analytical thinking with a proven track record of converting raw data into meaningful executive insights. Excellent verbal and written English communication skills . Strong interpersonal, team collaboration, and presentation abilities. Certifications (Preferred): PMP (Project Management Professional) certification is preferred. HR / L&D related professional credentials (e.g., CIPD, SHRM, CHRMP) are an added advantage.

О роли Product Marketing Manager станет связующим звеном между рынком, клиентами, клиентскими командами, новым бизнесом, маркетингом и внутренними экспертами. Главная задача роли — разобраться, кому, что, почему и как мы продаём, и превратить это понимание в работающую систему: клиентскую сегментацию, продуктовый портфель, позиционирование, продуктовые предложения, инструменты продаж и go-to-market. Это не роль только про маркетинговые коммуникации или создание презентаций. Нам нужен человек, который умеет начинать с рынка и потребностей бизнеса, работать с данными и исследованиями и доводить идеи до конкретного продукта и измеримого результата. Чем предстоит заниматься Исследовать рынок и клиентов: — анализировать рынок, категории, конкурентов и ключевые изменения в B2B, IT, MarTech и рекламной индустрии; — проводить количественные и качественные исследования клиентов; — изучать бизнес-модели клиентов, их задачи, процессы принятия решений и критерии выбора партнёров; — формировать ICP, клиентские сегменты, персоны, JTBD, выявлять потребности, барьеры и триггеры покупки; — находить продуктовые и коммерческие возможности на основании исследований и данных. Развивать клиентскую сегментацию: — создать и внедрить рабочую модель сегментации клиентов; — связать сегменты с бизнес-потенциалом, продуктами, форматом отношений и коммерческими приоритетами; — помогать командам нового бизнеса адаптировать проспектинг и квалификацию лидов под разные сегменты; — регулярно обновлять сегментацию на основе данных, обратной связи и результатов продаж. Формировать и упаковывать продукты: — вместе с внутренними экспертами создавать продуктовые предложения под задачи разных клиентских сегментов; — определять ценностное предложение, состав продукта, конкурентные преимущества и ожидаемый бизнес-эффект; — разрабатывать value proposition, message house и product narrative; — участвовать в разработке pricing-логики и оценке экономики продукта; — проверять продуктовые гипотезы на клиентах и превращать обратную связь в решения; — упаковывать сложные технологические и маркетинговые решения понятным для бизнеса языком; — разрабатывать go-to-market-планы для новых и существующих продуктов. Создавать инструменты для продаж и клиентских команд: — разрабатывать credentials и продуктовые материалы для разных клиентских сегментов; — создавать sales kits, one-pagers, кейсы, продуктовые презентации, battle cards, FAQ и шаблоны коммерческих предложений; — обеспечивать команды аргументацией, данными и доказательствами ценности продукта; — адаптировать продуктовую историю под тендеры и встречи с конкретными клиентами; — проводить продуктовые сессии и обучать команды нового бизнеса и клиентского сервиса. Выстраивать систему продуктовых знаний: — создать единый источник знаний о рынке, клиентах, конкурентах и продуктах группы; — определить структуру базы знаний и стандарты описания продуктов; — настроить сбор обратной связи от клиентских команд, нового бизнеса и клиентов; — сделать так, чтобы исследования и знания использовались не только в презентациях, но и в развитии продукта и продажах. Отвечать за результат: — определять продуктовые и маркетинговые метрики; — оценивать потенциальный объём рынка, спрос, воронку, конверсии и экономическую целесообразность запуска продуктов; — анализировать adoption, product penetration, win rate, cross-sell / upsell, retention и вклад продуктов в рост бизнеса; — формировать дашборды и регулярную отчётность; — принимать решения и формировать рекомендации на основании данных. Что для нас важно Мы ищем человека с 4+ годами опыта в Product Marketing Management или на сопоставимой позиции и практическим опытом работы в IT, SaaS, MarTech, AdTech, digital-продуктах или другом технологическом B2B-бизнесе. Важно: — опыт исследования B2B-рынков и клиентов: интервью, анализ данных, сегментация, ICP, JTBD, customer journey; — опыт позиционирования и упаковки сложных продуктов для корпоративных клиентов; — опыт разработки и реализации go-to-market-стратегий; — умение работать с продуктовыми и маркетинговыми метриками, оценивать рынок и коммерческий потенциал гипотез; — сильное аналитическое мышление и способность структурировать неопределённость; — умение превращать исследования и данные в конкретные решения; — опыт кросс-функциональной работы с руководителями бизнеса, продажами, новым бизнесом, клиентскими командами, аналитиками, стратегами и технологическими экспертами; — самостоятельность и готовность не только предложить концепцию, но и довести её до внедрения; — английский язык — не ниже Upper-Intermediate / B2. AI-native mindset Для нас AI — не отдельный эксперимент, а естественная часть ежедневной работы. Важно уметь применять AI для: — исследования рынка и конкурентного анализа; — обработки интервью и клиентской обратной связи; — поиска и проверки гипотез; — работы с большими объёмами неструктурированной информации; — прототипирования продуктовых материалов; — автоматизации регулярных процессов; — создания и поддержки корпоративной базы знаний. Будет большим плюсом, если вы можете показать конкретные примеры того, как AI уже изменил качество или скорость вашей работы. Нам подойдёт кандидат, который: — искренне интересуется B2B-клиентами и умеет видеть за запросом реальную бизнес-задачу; — не боится сложных продуктов, длинных циклов продаж и нескольких лиц, принимающих решения; — соединяет исследовательскую глубину с практичностью и ориентацией на результат; — умеет разговаривать на одном языке с топ-менеджментом, технологическими специалистами и коммерческими командами; — комфортно чувствует себя в среде трансформации, где часть процессов ещё предстоит создать; — любит систематизировать знания и делать сложное понятным; — сочетает высокую самостоятельность с готовностью работать в команде. Будет преимуществом: — опыт в MarTech, AdTech, медиа, консалтинге или агентском бизнесе; — опыт создания B2B-продукта или продуктовой функции с нуля; — опыт построения клиентской сегментации и внедрения её в продажи и сервис; — опыт создания базы знаний или системы sales enablement; — опыт запуска новых продуктов и оценки их коммерческого потенциала; — понимание специфики enterprise-клиентов, тендеров и длинного цикла принятия решений; — опыт работы с BI, CRM, аналитическими и AI-инструментами. Преимущества роли: — возможность влиять не на один продукт, а на продуктовую и маркетинговую модель целой группы; — возможность создать систему продуктового маркетинга практически с нуля; — участие в трансформации агентской группы в современный B2B IT-бизнес; — работа с крупными компаниями и комплексными бизнес-задачами; — доступ к большому объёму клиентской, маркетинговой и индустриальной экспертизы; — высокая видимость результатов роли на уровне руководства и бизнеса. Мы предлагаем: — Гибридный формат работы: баланс офис-дом, работаем с 10:00 до 18:30. — Регулярное обучение и развитие: семинары, бизнес-тренинги, круглые столы, онлайн университет с широким набором профессиональных курсов, индивидуальные планы развития, разговорный английский клуб со скидкой 50%. — Забота о команде: ДМС со стоматологией после ИС, 7 дней-отпуска в году при плохом самочувствии, программа материальной поддержки. — Теплая атмосфера и корпоративная жизнь: политика "открытых дверей" с акционерами и руководством агентства, праздники и вечеринки, клубы по интересам.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal Role Summary Cloudflare MCP Server Portals give organizations a secure, centralized way to connect AI agents to internal and third-party tools. As a Senior Systems Engineer on the MCP Portals team, you will lead the design, delivery, and operation of distributed systems that authenticate users, manage OAuth credentials and sessions, enforce Zero Trust policies, and proxy MCP traffic across Cloudflare's global network. You will own complex projects across service boundaries, make architectural tradeoffs for your area, and help other engineers deliver reliable, secure changes. You will work closely with engineers and product managers across Access, Gateway, and Developer Platform teams as the protocol and product evolve. We are looking for a hands-on engineer who can bring clarity to ambiguous systems problems and take responsibility for outcomes in production. Role Responsibilities Lead the design, implementation, and operation of globally distributed services that connect MCP clients to authorized upstream MCP servers. Own complex features and service improvements from problem definition and design through implementation, rollout, observability, and production support. Shape technical decisions for MCP Portals, including service boundaries, security controls, compatibility, and tradeoffs among reliability, latency, and resource use. Evolve our implementation as the MCP specification changes, planning safe migrations for existing customers and integrations. Design and review authentication and authorization flows involving Cloudflare Access, OAuth, identity, credential handling, and delegated access to upstream services. Improve the reliability and scalability of multi-tenant systems built on the Cloudflare Developer Platform, using production data to identify and prioritize work. Strengthen observability through structured logs, metrics, traces, dashboards, and actionable alerts; participate in production support and incident response. Lead investigations of complex customer issues across services and teams, identify root causes, and drive fixes that prevent recurrence. Review designs and code, mentor engineers, and raise the quality of testing, deployment, and operational practices on the team. Partner with product, security, and engineering teams to turn customer needs and emerging standards into maintainable product capabilities. Role Requirements Must Have Skills 6+ years of experience building and operating distributed systems, backend services, network services, or infrastructure products in production. Demonstrated ownership of complex production services or projects, including architecture, implementation, rollout, and operational outcomes. Strong programming skills in TypeScript, JavaScript, Go, Rust, C++, or another language used to build production services. Deep understanding of HTTP, APIs, proxies, streaming connections, and distributed-systems failure modes. Experience with authentication and authorization technologies such as OAuth 2.0, OpenID Connect, JWTs, PKCE, or policy-based access control. Experience designing or operating security-sensitive systems, with sound judgment about identity, authorization, credential handling, concurrency, and state management. Ability to diagnose difficult production issues using logs, metrics, traces, error reporting, and customer-provided evidence, then drive durable fixes. Experience making backward-compatible changes to live systems and managing the risks of deployment and migration. Clear written and verbal communication skills, with the ability to explain technical tradeoffs, influence decisions across teams, and mentor other engineers. Applicants should provide a resume or CV describing relevant engineering, technical leadership, and operational experience. Nice to Have Skills Experience with the Model Context Protocol Familiarity with the Cloudflare Developer Platform or other serverless edge-computing platforms. Experience building gateways, forward proxies, identity systems, developer platforms, or Zero Trust and data loss prevention products. Compensation Compensation may be adjusted depending on work location. For Portugal based hires: Estimated annual salary of €66,000-91,000 Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Bengaluru, India We are looking for a Principal Engineer to serve as the senior technical authority for a digital commerce platform and broader application development initiatives. This hybrid role combines ecommerce platform expertise with software engineering leadership, focused on defining technical strategy, driving architecture decisions, and ensuring high quality delivery across customer facing and internal applications. You will own the architecture and technical roadmap for the commerce ecosystem while guiding engineering standards, mentoring developers, and partnering with product, UX, and business stakeholders to deliver scalable and maintainable solutions. Lead the architecture, design, and delivery of BigCommerce storefront and headless commerce solutions, including Stencil theme customization, custom applications, extensions, and API driven integrations with enterprise systems Serve as the senior technical authority for application development initiatives beyond commerce, guiding solution design and code quality across full stack web applications and internal platforms Set the technical direction and engineering standards for the team and conduct architecture reviews, design reviews, and code reviews Collaborate with product owners, UX teams, and business stakeholders to translate requirements into scalable and maintainable technical solutions Own end to end technical delivery for complex cross functional initiatives, including estimation, planning, risk management, and implementation sequencing Optimize storefront performance, scalability, and availability while supporting cloud deployments on AWS or Azure using modern CI/CD pipelines Provide technical mentorship and guidance to developers across ecommerce and general application development projects Evaluate and integrate third party APIs, middleware solutions, and SaaS platforms to extend platform capabilities Promote secure coding practices, automated testing, and DevOps principles across the engineering team Drive the adoption of AI assisted development tools, establish governance guidelines, and define best practices for their effective use Stay current with ecommerce platform updates, industry trends, and modern software development practices, providing recommendations for build versus buy decisions 8+ years of software application development experience, including 3+ years working directly with BigCommerce or a comparable SaaS commerce platform Experience customizing BigCommerce storefronts using the Stencil framework, including custom themes, templates, and applications Strong understanding of headless commerce architectures and RESTful or GraphQL integrations with enterprise systems Solid full stack development experience using JavaScript, TypeScript, Node.js, React, or similar technologies, along with a server side language such as Java, C#, or Python Experience working with AWS or Azure cloud platforms and modern CI/CD, containerization, and deployment practices Demonstrated ability to define technical direction and mentor developers, with or without formal people management responsibility Strong understanding of software architecture principles, design patterns, and scalable system design Hands on experience using AI assisted coding tools, including prompt development, reviewing AI generated code, and integrating these tools into engineering workflows Strong written and verbal communication skills with experience collaborating across product, UX, and business teams Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience BigCommerce certification or equivalent platform credentials Experience with membership, subscription, nonprofit, or association based ecommerce models Familiarity with Agile delivery methodologies and tools such as Jira and Confluence Experience with automated testing frameworks such as Selenium, Cucumber, JUnit, or similar tools Exposure to relational databases, ETL tools, and data integration patterns

Location: Remote About Osano Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape. The Role Osano is looking for a Campaign Coordinator to help execute the integrated marketing campaigns that drive pipeline and brand awareness. This is a hands-on campaign execution and project management role for someone who knows how to take an established campaign strategy and turn it into action across multiple channels. You'll work closely with demand generation, content, product marketing, sales, and other partners to coordinate campaign deliverables, manage timelines, deploy programs, and make sure everything launches on time, on brand, and as intended. The ideal candidate brings experience executing integrated, cross-channel or omnichannel campaigns in a B2B environment and is comfortable managing multiple campaigns, stakeholders, and deadlines at once. You won't be expected to set the overarching campaign strategy — you'll be instrumental in making sure that strategy gets out the door successfully. What You'll Do Coordinate and execute integrated marketing campaigns across channels such as email, paid, organic, content, webinars, and ABM based on established campaign strategies and briefs. Translate campaign plans into clear project timelines, tasks, dependencies, and deliverables, keeping stakeholders aligned from kickoff through launch. Manage the day-to-day execution of multiple campaigns simultaneously, proactively identifying blockers and keeping projects moving. Build, deploy, and monitor campaign components within marketing automation and CRM platforms. Coordinate with demand generation, content, product marketing, design, sales, and other partners to ensure campaign assets and deliverables are completed on time. Manage audience segmentation, campaign setup, scheduling, tracking, and other deployment requirements based on established campaign parameters. QA campaigns before launch, including links, forms, lists, tracking, formatting, creative, and overall customer experience. Maintain the shared campaign calendar and ensure cross-channel activities are coordinated appropriately. Monitor live campaigns, troubleshoot execution issues, and flag performance or delivery concerns to the appropriate partners. Pull and organize campaign performance data to support reporting and optimization efforts. Help maintain and improve campaign processes, templates, documentation, and workflows to make execution more efficient and scalable. Support occasional event or webinar coordination as needed, including logistics, promotion, lead capture, and follow-up. What We're Looking For 3–5 years of marketing experience , with meaningful hands-on experience in campaign management and execution. Experience executing integrated, cross-channel, or omnichannel marketing campaigns from kickoff through deployment. B2B marketing experience required ; experience within a B2B software or SaaS organization is especially valuable. Strong project management skills with experience coordinating multiple campaigns, stakeholders, deliverables, and deadlines simultaneously. Hands-on experience with marketing automation and CRM platforms such as HubSpot, Marketo, Salesforce, or similar. An understanding of how different marketing channels work together as part of a larger integrated campaign. Strong attention to detail, particularly when building, deploying, and QAing campaigns. Ability to take an established strategy or campaign brief and independently drive the execution forward. Strong written and verbal communication skills and confidence working cross-functionally. Comfort working with campaign data and performance metrics. A proactive, organized approach with a willingness to get into the details and make things happen. Nice to Have Experience working within a B2B SaaS or software company. Hands-on experience with HubSpot and Salesforce. Experience supporting event coordination , including webinars, conferences, trade shows, or field events. Familiarity with ABM campaigns or account-based marketing programs. Experience working with marketing project management or campaign planning tools. Basic design sense and experience reviewing campaign creative for accuracy and brand consistency. Familiarity with the data privacy, compliance, or cybersecurity space. Why Us A well-defined career path that’s not just “climbing the ladder” - learn different competencies, skills, and concepts as you progress and get recognized for it. Supportive leadership and peers - from sales engineering and product marketing to sales development and demand generation - you’re never in this alone. You’ll be stepping into a space that’s on fire – the privacy and regulatory landscape is only growing with a ton of opportunity in front of us. You’ll become a privacy expert, including the opportunity to receive your Certified Information Privacy credential. You’ll be representing a product that makes prospects say, “This is so awesome” when you demo it. Benefits Competitive compensation + ownership interest for an early stake in our success! Unlimited paid time off with a requirement to take at least two weeks off per year. We're continuously a Best Place for Working Parents and offer paid parental leave for all new parents + believe that family, however you define it, comes first. Osano sponsors individual premiums for base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision Insurance via Aetna. A fully, permanently remote company so you can work from anywhere in the U.S. Receive a MacBook + $600 to craft your home workspace Annual company trip designed to foster connection, creativity, and fun together! Mental health benefits with free memberships to mindfulness + talk therapy services A Bit More About Osano Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest. We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work. As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you. Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.

Location: Remote About Osano Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape. About the Role Osano is looking for a Demand Generation Manager to help build and execute programs that create awareness, generate qualified pipeline, and ultimately drive revenue growth. This is a hands-on individual contributor role for someone who enjoys both the strategic and executional sides of demand generation. You'll own campaigns from idea through execution and measurement, working closely with Sales, Marketing, Content, Product Marketing, and Revenue Operations to reach the right audiences with the right message at the right time. We're looking for someone who is comfortable digging into performance data, experimenting with new approaches, and continuously improving how we generate and convert demand. You'll have meaningful ownership over your programs without direct people-management responsibilities. What You'll Do Develop and execute integrated demand generation campaigns and programs end to end to drive qualified pipeline against Osano's revenue goals. Build multi-channel programs across email, paid media, content syndication, sponsorships, webinars and events, content, organic channels, and account-based marketing. Own Osano's in-house paid media program across core and emerging channels like Google/Bing search, LinkedIn, YouTube, Reddit, and ChatGPT Partner closely with Sales to ensure campaigns align with target accounts, pipeline priorities, and the needs of the go-to-market organization. Collaborate with Product Marketing and Content to develop compelling campaign messaging, offers, and assets for key audiences and stages of the buyer journey. Work with Revenue Operations to ensure campaigns, lead flows, attribution, and reporting are set up accurately within our marketing and CRM systems. Monitor campaign performance and pipeline contribution, using data to identify what's working, what isn't, and where we should invest next. Analyze funnel performance across lead generation, conversion, pipeline creation, and revenue to identify opportunities for improvement. Develop audience segments and targeted programs based on industry, persona, account characteristics, intent, and buyer behavior. Test and optimize messaging, channels, creative, audiences, and conversion paths to continually improve campaign performance. Help develop and refine Osano's account-based marketing strategy and execute programs targeting high-value accounts. Manage campaign budgets and make recommendations on how to allocate spend based on performance and business priorities. Partner with Marketing Operations to maintain strong campaign tracking, reporting, and attribution. Stay current on demand generation trends, channels, and tools, bringing new ideas and experiments to the team. Share campaign insights and results with Marketing, Sales, and other stakeholders, translating performance data into clear recommendations and next steps. What We're Looking For 5+ years of experience in demand generation, growth marketing, integrated marketing, or a related B2B marketing role, preferably within SaaS or technology. Demonstrated experience building and executing integrated campaigns that contribute to pipeline and revenue. Strong understanding of the B2B buyer journey and how marketing programs influence prospects from initial awareness through opportunity creation. Experience working across multiple demand generation channels, including email, paid media, content, webinars/events, and ABM. Hands-on experience running paid search and LinkedIn campaigns in the platforms yourself, not through an agency, with a track record of scaling spend efficiently. Strong analytical skills with the ability to interpret campaign and funnel data and turn insights into action. Experience with marketing automation and CRM platforms such as HubSpot and Salesforce. Familiarity with campaign attribution, funnel metrics, lead management, and pipeline reporting. Comfortable owning projects independently and moving between strategy and hands-on execution. Strong project management skills with the ability to manage multiple campaigns, stakeholders, deadlines, and priorities at once. Collaborative mindset and experience partnering closely with Sales, Revenue Operations, Product Marketing, and Content. Curious and experimental approach—you enjoy testing ideas, learning from the results, and continuously improving performance. Clear communicator who can explain both campaign strategy and performance to stakeholders across the organization. What Success Looks Like In this role, success isn't measured simply by the number of campaigns launched or leads generated. You'll help Osano build a demand generation engine that consistently reaches the right audiences and translates marketing investment into meaningful business results. You'll be successful when you're: Generating qualified pipeline that supports company revenue goals. Improving conversion throughout the marketing and sales funnel. Building repeatable, scalable campaigns rather than relying on one-off tactics. Giving the team clear visibility into campaign and channel performance. Using data and experimentation to continually improve marketing effectiveness. Building strong alignment between Marketing and Sales around audiences, campaigns, and pipeline. Who You Are You're equal parts marketer, operator, and problem solver . You can zoom out to think about campaign strategy and the buyer journey, then zoom in to build, launch, analyze, and optimize the program yourself. You're comfortable with numbers but don't lose sight of the people behind them. You understand that great demand generation isn't just about producing more leads—it's about creating the right engagement with the right buyers and turning that engagement into sustainable pipeline and revenue. Most importantly, you're someone who likes to own your work. You don't need a large team beneath you to make an impact; you're energized by rolling up your sleeves, collaborating across the business, and seeing your ideas translate into measurable results. Why Us A well-defined career path that’s not just “climbing the ladder” - learn different competencies, skills, and concepts as you progress and get recognized for it. Supportive leadership and peers - from sales engineering and product marketing to sales development and demand generation - you’re never in this alone. You’ll be stepping into a space that’s on fire – the privacy and regulatory landscape is only growing with a ton of opportunity in front of us. You’ll become a privacy expert, including the opportunity to receive your Certified Information Privacy credential. You’ll be representing a product that makes prospects say, “This is so awesome” when you demo it. Benefits Competitive compensation + ownership interest for an early stake in our success! Unlimited paid time off with a requirement to take at least two weeks off per year. We're continuously a Best Place for Working Parents and offer paid parental leave for all new parents + believe that family, however you define it, comes first. Osano sponsors individual premiums for base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision Insurance via Aetna. A fully, permanently remote company so you can work from anywhere in the U.S. Receive a MacBook + $600 to craft your home workspace Annual company trip designed to foster connection, creativity, and fun together! Mental health benefits with free memberships to mindfulness + talk therapy services A Bit More About Osano Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest. We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work. As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you. Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.

Location: Remote About Osano Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape. About the Role We’re hiring an experienced SaaS Sales Manager to nurture and inspire a high-performing team of 9 Account Executives. Our sales team is instrumental in driving Osano forward by bringing our suite of products to a new generation of customers. We’re an energetic, kind, and intentional team looking for our next leader to enthusiastically support Osano’s products, people, ideals, and values. Responsibilities Revenue Leadership Design and execute quarterly and annual sales plans. Support the sales team with prospect meetings, presentations, and negotiations. Conduct weekly forecast reviews and quarterly progress review sessions. Own your team's quarterly quota, designing and deploying strategies to achieve it. Manage productivity, opportunities, and quality to ensure teams meet/exceed established goals and provide a delightful customer experience. Make ongoing process improvements, recommendations, and implementation of systems that will make our team more efficient. Be a strong cross-functional partner to Sales Enablement, Product, Marketing, & Customer Success. Team Development Embody inclusive, servant leadership and nurture coach individuals at all levels to success. Hire, mentor, and develop individuals to bring intellectual curiosity, resilience, and resourcefulness to their roles. Provide feedback + focus your team of account executives. Collaborate with the People team on hiring and development to ensure a diverse team that’s exceeding expectations. Coach team members on sales acumen, product positioning, forecasting, and deal-level execution. About You You have 2-5  years of experience managing + leading a team of Account Executives, plus your own experience as an Account Executive (or a similar role), in an enterprise SaaS environment. Ideally, you have some experience in governance/risk/compliance technology, legaltech, cybersecurity, or similar technical sales environments. However, this is not a requirement. You’re a team player willing to get in the trenches with your team. You are familiar with MEDDPICC, Challenger, and/or Force Management methodologies. You possess excellent communication skills and have no problem managing expectations at various levels in a 100% remote office environment. You’ve successfully built, grown, and led a sales team, including hiring early-stage talent. You thrive in fast-paced, remote environments and have a way of nurturing early-career talent to do the same. This means being empathetic, proactively communicating, and bringing ingenuity and initiative to your every day. You’re customer-focused and bring examples of how you’ve identified + responded to internal and external customer needs. You recognize opportunities and initiate actions to capitalize on𑁋You’re always looking for new ways to make an impact. You’re an innovative thinker; you embrace and champion new ideas and encourage others to do the same. You build strong relationships and convey a deep concern for all employees. You ensure individual needs + those of Osano are met and thoughtfully communicate up and down. Why Us A well-defined career path that’s not just “climbing the ladder” - learn different competencies, skills, and concepts as you progress and get recognized for it. Supportive leadership and peers - from sales engineering and product marketing to sales development and demand generation - you’re never in this alone. You’ll be stepping into a space that’s on fire – the privacy and regulatory landscape is only growing with a ton of opportunity in front of us. You’ll become a privacy expert, including the opportunity to receive your Certified Information Privacy credential. You’ll be representing a product that makes prospects say, “This is so awesome” when you demo it. Benefits Competitive compensation + ownership interest for early stake in our success! Unlimited paid time off with a requirement to take at least two weeks off per year. We're continuously a Best Place for Working Parents and offer paid parental leave for all new parents + believe that family, however you define it, comes first. Osano sponsors individual premiums for base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision Insurance via Aetna. A fully, permanently remote company so you can work from anywhere in the U.S. Receive a Macbook + $600 to craft your home workspace Annual company trip designed to foster connection, creativity, and having fun together! Mental health benefits with free memberships to mindfulness + talk therapy services A Bit More About Osano Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest. We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work. As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you. Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.

Location: Remote About Osano Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape. About the Role We’re hiring an experienced SaaS Sales Manager to nurture and inspire a high-performing team of 9 Account Executives. Our sales team is instrumental in driving Osano forward by bringing our suite of products to a new generation of customers. We’re an energetic, kind, and intentional team looking for our next leader to enthusiastically support Osano’s products, people, ideals, and values. Responsibilities Revenue Leadership Design and execute quarterly and annual sales plans. Support the sales team with prospect meetings, presentations, and negotiations. Conduct weekly forecast reviews and quarterly progress review sessions. Own your team's quarterly quota, designing and deploying strategies to achieve it. Manage productivity, opportunities, and quality to ensure teams meet/exceed established goals and provide a delightful customer experience. Make ongoing process improvements, recommendations, and implementation of systems that will make our team more efficient. Be a strong cross-functional partner to Sales Enablement, Product, Marketing, & Customer Success. Team Development Embody inclusive, servant leadership and nurture coach individuals at all levels to success. Hire, mentor, and develop individuals to bring intellectual curiosity, resilience, and resourcefulness to their roles. Provide feedback + focus your team of account executives. Collaborate with the People team on hiring and development to ensure a diverse team that’s exceeding expectations. Coach team members on sales acumen, product positioning, forecasting, and deal-level execution. About You You have 2-5  years of experience managing + leading a team of Account Executives, plus your own experience as an Account Executive (or a similar role), in an enterprise SaaS environment. Ideally, you have some experience in governance/risk/compliance technology, legaltech, cybersecurity, or similar technical sales environments. However, this is not a requirement. You’re a team player willing to get in the trenches with your team. You are familiar with MEDDPICC, Challenger, and/or Force Management methodologies. You possess excellent communication skills and have no problem managing expectations at various levels in a 100% remote office environment. You’ve successfully built, grown, and led a sales team, including hiring early-stage talent. You thrive in fast-paced, remote environments and have a way of nurturing early-career talent to do the same. This means being empathetic, proactively communicating, and bringing ingenuity and initiative to your every day. You’re customer-focused and bring examples of how you’ve identified + responded to internal and external customer needs. You recognize opportunities and initiate actions to capitalize on𑁋You’re always looking for new ways to make an impact. You’re an innovative thinker; you embrace and champion new ideas and encourage others to do the same. You build strong relationships and convey a deep concern for all employees. You ensure individual needs + those of Osano are met and thoughtfully communicate up and down. Why Us A well-defined career path that’s not just “climbing the ladder” - learn different competencies, skills, and concepts as you progress and get recognized for it. Supportive leadership and peers - from sales engineering and product marketing to sales development and demand generation - you’re never in this alone. You’ll be stepping into a space that’s on fire – the privacy and regulatory landscape is only growing with a ton of opportunity in front of us. You’ll become a privacy expert, including the opportunity to receive your Certified Information Privacy credential. You’ll be representing a product that makes prospects say, “This is so awesome” when you demo it. Benefits Competitive compensation + ownership interest for early stake in our success! Unlimited paid time off with a requirement to take at least two weeks off per year. We're continuously a Best Place for Working Parents and offer paid parental leave for all new parents + believe that family, however you define it, comes first. Osano sponsors individual premiums for base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision Insurance via Aetna. A fully, permanently remote company so you can work from anywhere in the U.S. Receive a Macbook + $600 to craft your home workspace Annual company trip designed to foster connection, creativity, and having fun together! Mental health benefits with free memberships to mindfulness + talk therapy services A Bit More About Osano Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest. We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work. As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you. Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.

Location: New York, NY Workplace: Hybrid ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Role AI agents are already booking travel, subscribing to software, running procurement end to end, and moving money on behalf of users — much of it through Rain. Our Agent Control Layer is the governing surface for that activity: it enforces approved counterparties, amounts, merchants, and task scope at initiation, before a transaction ever occurs, rather than reconciling damage after the fact. We are hiring a Senior Product Manager to own that platform. This is a 0-to-1 role inside a category being defined in real time. You will own the developer-facing surface — APIs, SDKs, controls, docs — that teams building agents use to give them spending power safely. McKinsey projects $3–$5 trillion in global agentic commerce by 2030. The primitives that make it trustworthy have not been built yet. You will build them. You will report to the Head of Product and work daily with engineering, risk and compliance, network partnerships, and the developers shipping on us. What you'll do • Define the primitives for agent authority: spend scopes, merchant and counterparty allowlists, velocity and amount ceilings, task-bound credentials, human-in-the-loop approvals, and clean revocation. • Own scoped virtual cards for agents — cards provisioned for a single merchant, amount, and task, retired the moment the task completes. • Extend the rest of Rain's stack (wallets, virtual accounts, onramps, offramps, cross-border payments) to agent initiators within the parameters our customers define. • Treat the API as the product. Own endpoint design, error semantics, idempotency, webhooks, sandbox and simulation tooling, SDKs, and reference agents. • Own documentation and the onboarding path with the same rigor as the product itself. Time-to-first-authorized-agent-transaction is your metric. • Run a tight design-partner loop with agent builders — read their integration code, sit in their debugging sessions, ship against what you find. • Build the roadmap from first principles: form a thesis on where agentic commerce goes next, sequence bets accordingly, and kill what isn't working quickly. • Partner with risk and compliance on Know Your Agent — agent identity, attestation, delegated authority, auditability, and dispute handling in a world where the cardholder wasn't the one who clicked. • Represent Rain's technical point of view in Agentic Payments Alliance working groups and with Visa, Mastercard, and stablecoin partners as standards take shape. • Write the specs, launch posts, and positioning that teach the market what controlled agentic payments actually means. You’ll likely succeed if you have • 8+ years in product management, with meaningful time on a developer-facing platform, API, or infrastructure product. You have shipped something engineers chose to build on. • Technical depth. You read API diffs, write your own queries, prototype against your own endpoints, and hold your own in an architecture review. You don't need to have been an engineer; you do need engineers to take you seriously. • 0-to-1 instincts. You have taken a product from a blank page to real usage in an ambiguous market, and you're comfortable with a roadmap that changes because the ground moved. • Payments or fintech fluency, or the obvious appetite to acquire it fast. Authorization flows, issuing, interchange, chargebacks, settlement, KYC/KYB - you know these, or you'll learn them in weeks rather than quarters. • Judgment under risk. Every control you design trades capability against loss. You can reason about that tradeoff explicitly and defend where you landed. • Strong writing. At Rain, specs, docs, and launch narratives are the job, not overhead. • Bias for motion. You would rather ship a narrow thing this month and learn from it than scope a broad thing for two quarters. Bonus attributes • Hands-on experience building or deploying AI agents - tool use, orchestration frameworks, MCP, evals. • Stablecoin or onchain payments background: settlement, custody, treasury operations, or wallet infrastructure. • Experience working directly with card networks, issuing processors, or sponsor banks. • Time at an early-stage company during a period of fast scaling. THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Remote - United States 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: Video is where multimodal models are weakest and hardest to grade. Temporal reasoning, long-form understanding, grounding events in time, and holding audio, video, and text together do not fall out of image benchmarks — and the evaluations for them are still immature. Closing that gap is gated as much by how we design data and evaluation as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing video and multimodal models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building video understanding, video-language, and video-generation models, as interested in the data behind them as in the models themselves. Video spans two model families judged in completely different ways: models that understand video — answering questions, localizing events, grounding language in time — where the question is whether the answer is correct; and models that generate it, where fidelity, temporal coherence, and physical plausibility matter and no automatic metric is settled. You own the evaluation science for both, and knowing when model-based scoring can stand in for a human versus when it can't. Your conclusions shape what our partners measure and collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates video data for video and multimodal models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of video and multimodal models — video understanding, temporal and event localization, action recognition, long-form video, video-language models, video generation, cross-modal reasoning, and multimodal retrieval and grounding — into concrete data specifications: modalities, annotation schemas, sampling, and evaluation criteria. Build evaluation methodology for video understanding — temporal grounding accuracy, long-context and long-horizon reasoning, and dynamic multi-turn, cross-modal, and retrieval-and-grounding evaluation — clear about when model-based scoring is trustworthy and when a human is needed. Build evaluation methodology for video generation — fidelity, temporal coherence, and physical plausibility, including generative video used as a world model — the regime where automatic metrics are weakest and human judgment matters most. Decide how existing and incoming video should be structured, enriched, and sampled to extract the most model value from it, including from messy, domain-specific footage. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations that surface where video and multimodal systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in video understanding or multimodal ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated video or multimodal models yourself, with strong PyTorch fundamentals. Fluency in the formats and tooling video work runs on: ffmpeg and decord pipelines, temporal and COCO-style annotation, WebDataset, Parquet and Arrow, and HuggingFace datasets. Experience fine-tuning large video or vision-language models with the modern toolchain (HuggingFace transformers, PEFT, efficient inference), and with long-form video, streaming, temporal segmentation, or synthetic video generation. A way of thinking in datasets and benchmarks: you have built evaluation sets, calibrated difficulty, and argued about what makes video data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — safety and robustness testing for video and multimodal systems. The expected salary range for this position is $160,000 - $185,000 p/year, 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: Remote - United States 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: Where models actually differ now is robustness across accents, noise, and code-switching; speaker diarization; the naturalness of generated speech; and latency under streaming. Measuring those honestly, and building the data that trains for them, is gated as much by data and evaluation design as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing speech and audio models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building ASR, text-to-speech, speech-to-speech and conversational voice, diarization, and audio-language models, as interested in the data behind them as in the models themselves. Your work is judgment: which conditions and languages a benchmark must cover to be honest, what a transcription convention should be for a given objective, and when an automated metric can be trusted versus when a human ear is required. You will also partner closely with our transcription and linguistics lead, whose standards directly shape what the models learn. What You’ll Own: You will define how Innodata designs, structures, and evaluates audio data for speech and audio models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of speech and audio models — ASR, text-to-speech and speech generation, speech-to-speech and conversational voice, speaker diarization and verification, audio-language models, and streaming systems — into concrete data specifications: modalities, transcription and annotation schemas, sampling, and evaluation criteria. Build evaluation methodology that goes past word error rate — semantic accuracy, robustness to noise and accent, code-switching, diarization error rate (DER), naturalness and intelligibility of generated speech, and streaming latency — and know when automated metrics hold and when they don't. Decide how existing and incoming audio should be structured, enriched, and sampled for coverage that fits the model objective — across languages, accents, and acoustic conditions (studio, real-world, telephonic), speaker demographics, emotional and paralinguistic range, scripted versus spontaneous speech, and single- versus multi-speaker settings, including low-resource and code-switched speech. Partner with the transcription and linguistics lead to turn model objectives into transcription specifications, and to quantify how transcription conventions and quality move ASR and speech-model results. Partner with the audio solutions and engineering team so the audio we collect is built for the model objective: you specify what good data and evaluation require, and they scope programs with customers and capture audio to spec. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations — noisy, accented, and adversarial audio — that surface where speech systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic- and augmented-audio pipeline to turn specifications into operational plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in speech or audio ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated speech or audio models yourself — ASR, TTS, speech-to-speech, speaker, or audio-language models — with strong PyTorch fundamentals. Fluency in the toolchains and metrics speech work runs on: ESPnet, NeMo, SpeechBrain, or Kaldi, HuggingFace, forced alignment, and WER/CER and the metrics that go beyond them. Hands-on experience with multilingual, accented, dialectal, low-resource, or code-switched speech, and with synthetic or augmented audio (TTS pipelines, noise and room-response simulation). A way of thinking in datasets: you have built evaluation sets, reasoned about coverage across conditions, and argued about what makes speech data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as Interspeech, ICASSP, ASRU, SLT, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — for example spoofing and voice-cloning robustness, or bias across accents and languages. The expected salary range for this position is $160,000 - $185,000 p/year, 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: Remote - United States 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: Progress in physical AI is gated as much by data design as by model architecture. The best manipulation and locomotion policies, vision-language-action models, and world models are only as good as the trajectories, demonstrations, and environments they learn from — so the highest-leverage decisions are made long before a model trains: what to capture, what to synthesize, how to represent an action, and how to know whether any of it will transfer to a real robot. Innodata is building the data and evaluation practice behind the next generation of robotics foundation models, in direct partnership with the customers and frontier labs defining that frontier. We are hiring a Research Scientist to own the science of that data. You will partner directly with the customers and frontier labs building robot foundation models, as interested in the data those models learn from as in the models themselves. Your leverage is scientific judgment about data: deciding what is worth capturing in the real world versus generating in simulation, how to weight a training mix across embodiments and sensors, and how to measure whether a policy will hold up outside the lab. Your conclusions will shape what our partners collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates data for robot foundation models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of robotics foundation models — vision-language-action models, world models, and manipulation and locomotion policies — into concrete data specifications: modalities, action representations (tokenization, chunking, diffusion and flow-matching action experts), sampling, annotation schemas, and evaluation criteria. Decide what is worth capturing in the real world versus generating in simulation, and curate and weight training mixes across heterogeneous robot datasets that span different embodiments, action spaces, and sensor setups. Guide collection across capture modalities — motion capture, egocentric, exocentric, teleoperation, and multi-sensor — and across synthetic pipelines, so that what we produce maps cleanly to model needs rather than accumulating for its own sake. Build evaluation and benchmarking methodology that predicts real-world transfer — coverage, discriminative power, reliability, and sim-to-real fidelity — including world-model evaluation (rollout quality and action-conditioned prediction) and the domain-randomization and system-identification choices that close the sim-to-real gap. Run the experiments that prove it: fine-tune and evaluate foundation models on Innodata data, with data-quality ablations and scaling studies that demonstrate specific data decisions produce measurable model improvement. Design adversarial and long-horizon evaluations that surface where policies and world models break, and turn those failure modes into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Collaborate with the capture lab, annotation teams, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 4+ years of hands-on industry experience in robot learning or robotics ML. We weight practical experience over formal credentials; because the field is young, a PhD with a compelling, current research agenda can offset the lower end, and we will also consider very senior candidates with the right background. A Bachelor's degree in computer science, electrical engineering, robotics, or a related technical field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated robot policies yourself — manipulation or locomotion via imitation learning or reinforcement learning — with strong PyTorch fundamentals. You build and measure models, you don't just call them. A way of thinking in datasets: you have curated, filtered, and weighted robot data across embodiments and sensors, and you have real opinions about what makes it good for a given objective. Fluency in robotics data formats and standards — the LeRobot dataset format, RLDS, and Open X-Embodiment — along with common motion and sensor formats. Hands-on experience with simulation and synthetic data — NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or MuJoCo and comparable engines — including domain randomization, system identification, and sim-to-real transfer. Experience with teleoperation or egocentric data collection, and comfort adapting VLM backbones for control and fine-tuning large VLA models with the modern toolchain (HuggingFace transformers, PEFT). A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CoRL, ICRA, IROS, RSS, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming for embodied systems, for example safety and robustness testing. The expected salary range for this position is $160,000 - $185,000 p/year, 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: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: London, United Kingdom About the Department Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs). Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever-growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world's largest global networks can provide. The team analyzes these unique data points at massive scale and efficiency, synthesizing findings into actionable threat intelligence to better protect our customers. About INTERDICT I.N.T.E.R.D.I.C.T. (Identify, Neutralize, Triage, Engage, Respond, Disrupt, Integrate, Contain, Threat Hunting) is Cloudforce One's unified operational security organization responsible for identifying, analyzing, and responding to threats targeting Cloudflare and its customers. INTERDICT encompasses three main sub-functions: PhishGuard: Email Managed Detection and Response (MDR) service. Cloudflare Managed Defense (CMD, Formerly SOCaaS): 24/7 monitoring, detection, and mitigation of security events across Cloudflare products. Detection Engineering: Develops, maintains, and deploys Cloudflare’s threat detection logic across email, application, and network telemetry. Through the combined capabilities of CMD, PhishGuard, and Detection Engineering, INTERDICT delivers a cohesive operational security function that provides continuous, proactive protection against network, application, and email-based threats. This integrated structure ensures rapid detection, coordinated response, and improved security outcomes for Cloudflare and its customers. About the Role The Response Engineer within the Cloudflare Managed Defense Center acts as a primary technical responder for Cloudflare's premium enterprise customers. You will autonomously investigate complex threat telemetry, handle live incident response for sophisticated volumetric DDoS and application-layer attacks, and analyze traffic anomalies during high-pressure events. Customers contact the Managed Defense Center for assistance and intelligence across Cloudflare's security portfolio, focused on two core pillars: Web Application Security (WAF and Bot Management) and DDoS mitigation across network and application layers. Managed Defense Response Engineers use customer-facing dashboards and internal tools to make detailed and informed suggestions for mitigation, and may implement mitigation strategies directly on behalf of the customer. The team provides continuous proactive monitoring and analysis of security events through internal alerting systems. We are looking for an analytical security practitioner who thrives in this always-on operational environment and bridges the gap between deep technical analysis and premium customer advisory. Role Responsibilities Implement robust mitigation strategies for complex attacks across OSI Layers 3, 4, and 7 using Cloudflare's suite (Magic Transit, Magic Firewall, Advanced TCP Protection, Advanced DNS Protection, WAF, Custom Rules, IP Access Rules, Bot Management, and Rate Limiting) Monitor and investigate proactive alerts, performing near real-time packet and traffic flow analysis and correlation to detect protocol exhaustion and application-layer exploitation, translating findings into custom, highly targeted mitigation rules Review alerts to determine relevancy and urgency, proactively escalate customer-impacting incidents, and adhere to Customer SLAs for alert response and customer communication Act as the primary technical contact for customers during active security incidents, driving high-touch, consultative communication (via phone, chat, email) with customers' technical engineering teams to neutralize threats while ensuring stable traffic delivery Continuously tune and optimize existing security monitoring rules and alerting thresholds to improve the operational signal-to-noise ratio and reduce false positives Lead managed customer onboarding sessions, maintain customer-specific runbooks, and deliver highly technical monthly security posture reviews and post-incident reports Partner directly with internal engineering, product, and threat intelligence teams to provide actionable feedback on attack trends, tooling gaps, and product enhancements Role Requirements 4–7 years of direct, hands-on experience in Managed Detection and Response (MDR), advanced Security Operations, or high-level Technical Support/Incident Response for enterprise infrastructure Proven capability to handle both Application Security (including knowledge of OWASP Top 10 vulnerabilities, L7 WAF, HTTP/S anomalies, Bot mitigation) and Network Security (L3/L4 volumetric DDoS, protocol abuse) Working knowledge of threat frameworks such as MITRE ATT&CK to classify adversary behavior and inform detection and mitigation strategies Operational understanding of internet protocols including TCP, UDP, ICMP, GRE, BGP, DNS, with the ability to quickly diagnose attack fingerprints and infrastructure impact during volumetric DDoS attacks Hands-on experience with packet capture (e.g., tcpdump, Wireshark, tshark) or HTTP traffic inspection (e.g., HAR, Burp Suite) to analyze malicious traffic Extensive experience managing technical communications with enterprise customers during high-stress, active attacks, with the ability to remain calm under pressure and translate complex attack data into clear actionable advice Ability and willingness to work 24x7 rotating shifts to support global operations Knowledge of industry security technologies (e.g., enterprise CDNs, cloud-based DDoS scrubbing centers, Next-Gen WAFs, and edge network firewalls) (Preferred) Proficiency in Linux/Unix environments and strong scripting skills (Bash, Python preferred) for workflow automation (including experience leveraging agentic AI environments or LLMs to optimize operations) and experience interacting with REST APIs or GraphQL to pull and correlate operational data (Preferred) Experience building or querying dashboards in Prometheus and Grafana for performance and attack metrics (Preferred) Highly valued security and networking certifications such as GIAC (e.g., GCIA, GCIH, GCFA, GCFE), Cisco CCNA/CCNP, or equivalent hands-on incident response credentials (Preferred) What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Responsibilities: Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs Integrate with third-party identity verification and data enrichment vendors You may be a good fit if you have: A Bachelor's degree in Computer Science, Software Engineering, or comparable experience Experience building and operating backend systems in production Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Strong candidates may also: 8+ years of industry software engineering experience Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build Experience with identity, authentication, or authorization systems at scale Experience with KYC/KYB workflows or identity verification vendors Experience in trust and safety, integrity, fraud, or abuse detection Experience detecting and responding to account takeover or credential compromise Experience partnering with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024