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Location: United States; Canada; New Zealand; Australia; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Gaming and Gambling Regulatory Attorney to contribute to a project focused on improving the legal reasoning and regulatory capabilities of next-generation AI systems. The ideal candidate has strong expertise in gaming, gambling, and betting law, including licensing, regulatory compliance, and the legal frameworks governing online and land-based gaming operations. You will analyze complex legal scenarios, interpret regulations across different jurisdictions, and evaluate AI-generated legal content to ensure accuracy, clarity, and practical relevance. This role offers an opportunity to apply your legal expertise to emerging technology. Previous AI experience is not required; your legal knowledge and analytical skills are what matter most. Job Type: Contractor Location: Remote Experience: Experienced legal professional Key Responsibilities Research, interpret, and summarize gaming and gambling statutes, regulations, and compliance requirements across multiple jurisdictions. Analyze legal principles, regulatory procedures, and case law relevant to the gaming, gambling, and betting industries. Prepare clear, structured explanations of complex legal issues and regulatory requirements. Evaluate hypothetical legal queries and simulated cases involving online and land-based gaming operations. Review agreements, policies, and legal documents for regulatory compliance and alignment with industry best practices. Assess and refine AI-generated legal content to ensure legal accuracy, sound reasoning, and practical applicability. Identify emerging regulatory developments, industry trends, and potential legal risks in the gaming and gambling sector. Provide detailed written feedback and expert commentary to improve the quality of AI-generated legal analysis. Requirements Juris Doctor (J.D.) or an equivalent recognized legal qualification. Valid license or authorization to practice law in at least one relevant jurisdiction. Substantive professional experience in gaming, gambling, betting, or related regulatory law. Strong understanding of gaming regulatory frameworks, licensing requirements, and compliance obligations. Experience researching and interpreting complex legal and regulatory materials. Excellent written communication skills, with the ability to explain complex legal concepts clearly and accurately. Strong analytical reasoning, attention to detail, and independent research capabilities. Ability to work independently and deliver high-quality written assessments within project deadlines.

Location: United States; Canada; New Zealand; Australia; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced U.S.-licensed attorney specializing in energy and utilities regulation to contribute to an advanced AI training initiative. The ideal candidate has substantial, hands-on experience advising utilities, independent power producers, or energy regulators on regulatory compliance, rate design, tariff structures, and energy market operations. In this role, you will apply your legal expertise to evaluate complex regulatory scenarios, develop well-supported legal analyses, and review the accuracy of legal reasoning used to train next-generation AI systems. You will work with matters involving the Federal Energy Regulatory Commission (FERC), state Public Utility Commissions (PUCs), and Independent System Operators/Regional Transmission Organizations (ISOs/RTOs). No previous AI experience is required. Your practical legal expertise, analytical judgment, and ability to explain complex regulatory issues are what matter most. Job Type: Contractor Location: Fully Remote — Worldwide (Active U.S. Bar License Required) Experience: 4+ years of relevant legal practice Key Responsibilities Analyze complex energy and utilities regulatory questions involving rate design, tariff structures, market operations, and compliance obligations. Apply federal and state energy regulatory frameworks to realistic legal scenarios. Evaluate regulatory matters involving FERC, state PUCs, and ISO/RTO markets. Develop clear, structured legal analyses supported by relevant regulatory principles and practical experience. Identify jurisdictional differences, unsettled legal questions, and fact-dependent regulatory interpretations. Review and validate legal analyses produced by other contributors for accuracy, completeness, and clarity. Provide constructive feedback to improve the quality and reliability of AI-generated legal reasoning. Identify ambiguous or insufficiently defined regulatory scenarios and escalate them to project coordinators. Deliver accurate, high-quality work within established project timelines. Requirements Juris Doctor (J.D.) from an ABA-accredited law school. Active U.S. bar admission in at least one state or the District of Columbia. Minimum 4 years of substantive, hands-on experience practicing energy and utilities regulatory law. Demonstrated experience advising utilities, independent power producers, energy market participants, or regulatory authorities. Strong understanding of energy regulatory compliance, utility rate structures, tariffs, and market frameworks. Practical familiarity with FERC regulations, state PUC proceedings, and/or ISO/RTO regulatory environments. Strong legal research, analytical reasoning, and written communication skills. Ability to distinguish established legal principles from unsettled, jurisdiction-specific, or fact-dependent issues. Ability to work independently and deliver detailed, well-reasoned legal assessments.

Location: United States; Canada; New Zealand; Australia; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a legal professional with expertise in consumer product safety, product regulation, and regulatory compliance to contribute to an AI training and evaluation project. In this role, you will apply your legal knowledge to analyze product safety regulations, assess compliance strategies, and evaluate complex regulatory scenarios across different jurisdictions. You will translate technical legal requirements into clear, practical guidance and help ensure that AI-generated legal content is accurate, relevant, and grounded in real-world regulatory practice. The ideal candidate combines strong legal research and analytical skills with hands-on experience advising on product safety and consumer protection matters. Previous AI experience is not required; your domain expertise is what matters most. Job Type: Contractor Location: Remote Key Responsibilities Research, interpret, and analyze consumer product safety laws, regulations, directives, and applicable industry standards across multiple jurisdictions. Review, draft, edit, and evaluate legal and regulatory compliance documentation. Assess product safety case studies, hypothetical compliance scenarios, and regulatory frameworks. Evaluate product compliance strategies and recommend improvements or risk mitigation measures based on applicable legal requirements. Translate complex regulatory language into clear, structured, and practical guidance. Identify compliance gaps, potential product safety risks, and legal implications within regulatory materials. Review and validate AI-generated legal and regulatory content for accuracy, completeness, and practical applicability. Contribute structured legal analysis and expert feedback to AI training and evaluation datasets. Collaborate with project stakeholders to deliver accurate, high-quality work within established deadlines. Requirements Juris Doctor (J.D.) or equivalent legal qualification. Substantive professional experience in consumer product safety, product regulation, consumer protection, or regulatory compliance law. Strong understanding of relevant product safety legislation, regulatory frameworks, and compliance obligations. Experience interpreting complex legal and technical regulatory materials. Demonstrated ability to draft and review legal opinions, compliance policies, regulatory documentation, or similar materials. Excellent written communication skills and the ability to explain complex legal concepts clearly. Strong analytical reasoning, critical thinking, and attention to detail. Ability to work independently and deliver structured, well-supported legal assessments.

Location: Houston, United States EnerMech provides integrated solutions for complex energy projects worldwide, combining best-in-class equipment and cutting-edge technology that supports the entire asset life-cycle, along with decades of unrivaled expertise. Every move we make is intentional, ensuring energy infrastructure runs smoothly and efficiently. Guided by our values and foundational principles we drive positive impact, delivering seamless, transformative solutions that get it right first time. At EnerMech, our vision is clear and ambitious: to be the leader in specialist technical solutions across all markets, sectors, and regions we engage with. We are committed to optimizing performance, boosting reliability, and enhancing efficiency. Our mission is simple: to work in partnership with our customers to safely provide specialist technical solutions for energy and infrastructure assets globally. Role Overview The Global QHSSE Lead Auditor provides independent, risk-based audit and assurance across EnerMech’s global operations, projects, functions and management system. Reporting to the Global Head of QHSSE Systems & Assurance, the role leads and conducts enterprise, cross-regional and higher-risk assurance activities to determine whether QHSSE controls are appropriately designed, implemented in practice and effective in managing material risk. The role is expected to go beyond checklist auditing and procedural compliance. The Global QHSSE Lead Auditor will examine work as performed, test critical controls, assess management-system effectiveness, identify systemic weaknesses and weak signals, and produce clear, evidence-based findings that enable accountable leaders to improve. The role also strengthens audit capability across the global QHSSE function by establishing high standards for audit planning, evidence, interviewing, finding quality, corrective-action verification and auditor competence. Independence, professional judgment and the ability to constructively challenge senior leaders are fundamental to the position. Qualifications and Experience Recognized QHSE, Quality, engineering, risk, auditing or management-systems qualification appropriate to the role. Minimum 8 years of relevant QHSE, Quality, operational-risk, management-systems or assurance experience within complex or higher-risk industries. Minimum 5 years of practical audit and assurance experience, including leading audits or multi-discipline assurance activities. Demonstrated practical knowledge of ISO 9001, ISO 14001 and ISO 45001. Recognized Lead Auditor qualification in at least one relevant ISO management-system standard, with strong working knowledge across the integrated standards. Demonstrated ability to plan and execute risk-based audits, gather evidence, interview personnel, evaluate control effectiveness and write high-quality findings. Experience evaluating corrective actions, root causes and effectiveness of implemented improvements. Strong written communication and report-writing capability. Ability to constructively challenge operational and senior leaders while maintaining professional independence. Ability to work effectively across cultures, jurisdictions and business environments. Preferred Lead Auditor qualification across ISO 9001, ISO 14001 and/or ISO 45001. Degree or higher professional qualification in QHSE, Quality, Engineering, Environmental Science, Risk Management or related discipline. Chartered or equivalent professional QHSE or Quality membership. Formal investigation, root-cause analysis, Learning Team or critical-control verification training. Experience in energy, oil and gas, industrial services, offshore or comparable high-hazard industries. Experience conducting cross-regional, enterprise-level, supplier or project assurance. Experience supporting certification-body, client or regulatory audits. Strong data-analysis capability using QHSSE systems of record and assurance information. Requirements Ability and willingness to travel approximately 40–60% of the time, including significant international travel. Travel to EnerMech regions, projects, workshops, client locations, remote sites and operational facilities as assurance priorities require. Ability and willingness to travel offshore when required, subject to appropriate medical, competency and training requirements. Ability to work in industrial environments and comply with applicable site-access, PPE and operational requirements. Ability to support significant assurance, certification, event-related or executive review activities outside normal working hours when necessary. Ability to conduct assurance across different cultures, languages, jurisdictions and regulatory environments, using appropriate interpreter or specialist support where necessary. Benefits At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Al Jubail, Saudi Arabia; Dhahran, Saudi Arabia We are seeking an experienced Rotating Equipment Engineer specializing in industrial diesel engines to join the Mechanical Services Shops. The role focuses on diesel-engine overhaul engineering, troubleshooting, diagnostics, performance testing, repair planning, and root cause analysis (RCA) for engines used in oil and gas applications. Key Responsibilities Plan and supervise diesel-engine overhauls, including inspection, repair scope, dimensional checks, and component clearances. Troubleshoot diesel-engine mechanical systems, fuel injection, turbochargers, cooling, lubrication, governors, electronic controls, and protection systems. Ensure proper engine assembly, quality control, timing, torque settings, and compliance with OEM specifications. Conduct dynamometer and load testing to evaluate engine performance, vibration, temperature, pressure, emissions, and fuel consumption. Perform failure analysis and root cause investigations, recommending corrective actions and reliability improvements. Review OEM manuals, technical specifications, test results, and diagnostic data to ensure safe and reliable engine operation. Requirements Education: Bachelor's degree in Mechanical, Automotive, Marine, or Power Engineering from a recognized and approved program. Total Experience: Minimum 15 years of experience in engine or rotating equipment engineering . Relevant Experience: Minimum 8 years of hands-on experience in industrial diesel-engine overhaul, diagnostics, and performance testing . Strong expertise in diesel-engine mechanical systems, fuel injection, turbochargers, cooling, lubrication, governors, controls, and protection systems. Hands-on experience with OEM diagnostic software, borescope inspection, vibration analysis, dynamometer or load-bank testing, and root cause analysis. Ability to interpret OEM manuals, technical specifications, engine test curves, alarm logs, and electronic control data. Preferred Qualifications Relevant OEM diesel-engine training and certifications. Mobius vibration analysis certification. ICML MLA I or equivalent lubrication certification.

Location: Espoo; Amsterdam; Lisbon; Valencia; Berlin; Athens; Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: - Geospatial Image Analyst - Location: EU - Department: Data - Reports to: Senior SAR Image Analyst - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS:   As a Geospatial Image Analyst within ICEYE’s Data line of business, you will play a central role in the exploitation and interpretation of Synthetic Aperture Radar (SAR) imagery - with a primary focus on Defence & Intelligence (D&I) applications and use cases. This position is suited for an individual with several years of hands-on experience in geospatial data analysis and image interpretation, who is ready to deepen their expertise in SAR exploitation and operational delivery. You will contribute directly to mission-critical insights by transforming complex radar data into actionable intelligence products. Working closely with our Image Analysis, Sales Engineering, Marketing, Product and Sales teams, you will combine your analytical acumen with advanced geospatial tools - including AI workflows - to provide stakeholders with timely, accurate, and operationally relevant geospatial intelligence.   WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Conduct advanced SAR image exploitation and analysis to support D&I use cases such as activity monitoring, change detection and pattern-of-life analysis. - Develop and deliver analytic reports, visualizations, and geospatial products that meet customer requirements and operational standards. - Collaborate with product and delivery teams to define analysis specifications, interpret results, and ensure technical outputs align with needs. - Apply geospatial, remote sensing, and SAR science expertise to enhance ICEYE’s analytical capabilities and data value proposition. - Engage with customers and partners, when required, to explain methodologies, interpret outputs, and support the operational use of ICEYE data. - Stay current with advances in SAR technology, geospatial tools, and D&I analytic tradecraft, incorporating new techniques and insights into daily work.   WHAT WE’RE LOOKING FOR Must haves: - 3-5+ years of experience in geospatial analysis, SAR/satellite imagery (electro-optical, thermal, hyperspectral etc) exploitation, or related D&I analytical functions. - Proficient in SAR interpretation, with working knowledge of common geospatial software e.g. QGIS, SOCET GXP, ArcGIS. - Strong understanding of remote sensing and related geospatial principles. - Excellent written and verbal communication skills, with the ability to convey complex analytical findings clearly to technical and non-technical audiences. - Ability to adapt quickly, manage multiple tasks, and thrive in a fast-paced environment.   APPLICATION PROCESS - TA Screen; - Hiring Manager Interview; - Practical Task + presentation; - Final Interview with Senior Management. WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Cyprus; Portugal; Canada Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Compliance team at Payward plays a critical role in enabling the company to grow responsibly while navigating a rapidly evolving regulatory environment. Our teams work across jurisdictions and product lines to design and maintain scalable compliance frameworks that support Payward’s mission while ensuring regulatory obligations are met. The Financial Intelligence Unit (FIU) Scale Team is responsible for ensuring the FIU can scale, across new operating jurisdictions and new products, effectively and efficiently. The team leads AML transaction monitoring and blockchain monitoring to ensure thresholds are appropriately set, tested, and governed while reducing false positives and maintaining strong oversight. In addition, the team focuses on identifying efficiencies in process workflows and implementing automation across the FIU. Scale works closely with external vendor, Compliance, and internal technology teams.     THE OPPORTUNITY - Lead transaction monitoring optimization, including rule testing, threshold tuning, and the design and rollout of new monitoring scenarios to improve detection quality and reduce false positives - Identify and drive automation and workflow improvements across FIU processes to increase operational efficiency and effectiveness - Evaluate and implement emerging technologies, including LLM and AI-enabled tools, to enhance alert triage, investigations, SAR filing and FIU operational capabilities - Partner with Product, Engineering, and Operations to support vendor integrations, monitoring infrastructure improvements, and FIU tooling enhancements - Collaborate with Compliance leadership, including RCOs and MLROs, to maintain well-governed transaction monitoring frameworks aligned with regulatory expectations - Support FIU scalability by designing processes and monitoring strategies that enable expansion into new products, regions, and increased transaction volumes     WHAT YOU BRING - 5+ years of experience in AML, financial crime compliance, or FIU operations, with deep knowledge of transaction monitoring frameworks, suspicious activity detection, and regulatory expectations under BSA/AML regimes - 3+ years of experience designing, testing, and tuning transaction monitoring rules, including threshold optimization, scenario design, and alert reduction strategies - 3+ years of experience working with transaction monitoring systems and compliance tooling, including case management platforms, monitoring infrastructure, and investigative workflows - Experience working in a regulated financial institution, preferably one licensed to operate in the EU, UK, and/or United States - Experience driving process optimization or automation initiatives within compliance or financial crime programs to improve operational efficiency and scalability - Experience working cross-functionally with Product, Engineering, Data, or Operations teams to implement monitoring controls, vendor integrations, or compliance technology solutions - Strong analytical and data interpretation skills, with experience using metrics, dashboards, and data analysis to evaluate monitoring effectiveness and improve detection quality - Experience operating in fast-growing fintech, payments, or crypto environments, with the ability to design scalable compliance controls that support new product launches and geographic expansion - Experience working with AI, machine learning, or LLM-enabled compliance tools, including investigative automation or alert triage technologies - Familiarity with blockchain analytics tools such as Chainalysis, TRM Labs, Elliptic, or similar crypto investigative platforms - Experience supporting vendor selection, implementation, or integration of regtech solutions     NICE TO HAVES - ACAMS, CAMS-Audit, CFCS, or similar financial crime certifications       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Compliance team at Payward plays a critical role in enabling the company to grow responsibly while navigating a rapidly evolving regulatory environment. Our teams work across jurisdictions and product lines to design and maintain scalable compliance frameworks that support Payward’s mission while ensuring regulatory obligations are met. The Financial Intelligence Unit (FIU) Scale Team is responsible for ensuring the FIU can scale, across new operating jurisdictions and new products, effectively and efficiently. The team leads AML transaction monitoring and blockchain monitoring to ensure thresholds are appropriately set, tested, and governed while reducing false positives and maintaining strong oversight. In addition, the team focuses on identifying efficiencies in process workflows and implementing automation across the FIU. Scale works closely with external vendor, Compliance, and internal technology teams.     THE OPPORTUNITY - Lead transaction monitoring optimization, including rule testing, threshold tuning, and the design and rollout of new monitoring scenarios to improve detection quality and reduce false positives - Identify and drive automation and workflow improvements across FIU processes to increase operational efficiency and effectiveness - Evaluate and implement emerging technologies, including LLM and AI-enabled tools, to enhance alert triage, investigations, SAR filing and FIU operational capabilities - Partner with Product, Engineering, and Operations to support vendor integrations, monitoring infrastructure improvements, and FIU tooling enhancements - Collaborate with Compliance leadership, including RCOs and MLROs, to maintain well-governed transaction monitoring frameworks aligned with regulatory expectations - Support FIU scalability by designing processes and monitoring strategies that enable expansion into new products, regions, and increased transaction volumes     WHAT YOU BRING - 5+ years of experience in AML, financial crime compliance, or FIU operations, with deep knowledge of transaction monitoring frameworks, suspicious activity detection, and regulatory expectations under BSA/AML regimes - 3+ years of experience designing, testing, and tuning transaction monitoring rules, including threshold optimization, scenario design, and alert reduction strategies - 3+ years of experience working with transaction monitoring systems and compliance tooling, including case management platforms, monitoring infrastructure, and investigative workflows - Experience working in a regulated financial institution, preferably one licensed to operate in the EU, UK, and/or United States - Experience driving process optimization or automation initiatives within compliance or financial crime programs to improve operational efficiency and scalability - Experience working cross-functionally with Product, Engineering, Data, or Operations teams to implement monitoring controls, vendor integrations, or compliance technology solutions - Strong analytical and data interpretation skills, with experience using metrics, dashboards, and data analysis to evaluate monitoring effectiveness and improve detection quality - Experience operating in fast-growing fintech, payments, or crypto environments, with the ability to design scalable compliance controls that support new product launches and geographic expansion - Experience working with AI, machine learning, or LLM-enabled compliance tools, including investigative automation or alert triage technologies - Familiarity with blockchain analytics tools such as Chainalysis, TRM Labs, Elliptic, or similar crypto investigative platforms - Experience supporting vendor selection, implementation, or integration of regtech solutions     NICE TO HAVES - ACAMS, CAMS-Audit, CFCS, or similar financial crime certifications       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As an Apparel & Accessories Inventory Planner, you will own inventory levels and buy plans for assigned categories and SKUs to support business objectives and achieve financial targets. Reporting to the Senior Inventory Planning Manager, you will manage day-to-day inventory planning and purchasing activities while supporting broader departmental planning initiatives. You will collaborate closely with fellow Inventory Planners, Product Marketing, Go-to-Market (GTM), FP&A, and Operations teams to ensure optimal inventory levels for new product launches, seasonal assortments, and ongoing business needs. The ideal candidate has 3+ years of experience in inventory planning and analysis. RESPONSIBILITIES: - Partner with D2C Product Marketing Managers to align inventory plans with product launches, seasonal color stories, and assortment strategies. Develop SKU-level inventory plans across D2C channels and markets to support business needs and product availability. - Own inventory health and replenishment planning for assigned categories and SKUs. Monitor inventory levels, analyze selling trends, and proactively identify risks and opportunities, including potential stockouts, excess inventory, and slow-moving products. Recommend actions to optimize inventory productivity and availability. - Translate demand forecasts, sales trends, and product insights into SKU-level buy quantities. Execute purchase orders and adjust purchasing recommendations based on evolving demand, inventory availability, and business priorities. - Maintain accurate inventory and on-order positions to support the Open-to-Buy (OTB) process. Provide bottom-up analysis of inventory needs, upcoming purchases, and potential risks to inform category-level inventory and financial plans. - Partner with Supply Chain to align inventory requirements with production lead times, minimum order quantities (MOQs), supplier capacity, and shipping timelines. Proactively identify and communicate potential supply constraints. - Support inventory allocation and distribution across D2C channels and markets, ensuring the right products are available in the right locations at the right time while balancing customer demand and inventory efficiency. QUALIFICATIONS: - 3+ years of experience in inventory management, demand planning, merchandise planning or allocation planning within a consumer goods or innovation-driven industry - Advanced Excel skills and a strong understanding of retail math required. - Experience with ERP systems (e.g., NetSuite) and demand and inventory planning platforms (e.g., o9, Anaplan, Blue Yonder, or similar tools) is a plus. - Experience with AI tools or analytics platforms is a plus, especially for forecasting or demand modeling. - Strong analytical and problem-solving skills, with the ability to interpret complex data and translate insights into strategic decisions. - Excellent communication and interpersonal skills; comfortable collaborating with cross-functional teams across operations, supply chain, and marketing. - Proven ability to thrive in fast-paced, high-growth environments with competing priorities and tight deadlines. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Partner Experience team is building an AI-native operating model on top of a growing set of partner-facing systems: Salesforce, PEM, the partner portal, enablement and certification platforms, and the integrations that connect them. Our systems lead owns the architecture and data model. Our GTM Systems team builds and releases changes in Salesforce. Our AI Operations Engineer builds the agentic workflows that run on top of it. This role connects the business to all of them: a senior business systems analyst who runs discovery, captures requirements, leads UAT, and publishes release notes for every bug fix, improvement, enhancement, and new build, and who is hands-on enough as a Salesforce admin to keep the platform healthy in production. You'll use Claude every day to draft requirements, write test cases and release notes, and keep documentation current, and you'll be the person who spots which recurring requests should become automations. As our Senior Partner Systems Analyst, you'll own how change happens on the partner systems stack. When a partner program launches, a partner manager needs a new workflow, or a partner can't see their deal registration, you're the first call. You'll sit down with the people who raised it to understand the problem, write requirements the GTM Systems team or the AI Operations Engineer can build from, run UAT with the people who will use it, and publish release notes so nobody has to ask what changed. For smaller fixes, you'll make the change yourself as a Salesforce admin. This is a senior analyst role with real ownership. You'll set up the intake, discovery, UAT, and release processes rather than inherit them, decide what gets worked on first, and make sure nothing ships without agreed requirements, UAT sign-off, and release notes. Key responsibilities Lead discovery for new requests: meet with partner managers, partner operations, and other stakeholders to understand the problem, map the current process, and size the change before anything is built. Capture requirements for bug fixes, improvements, enhancements, and new builds: user stories, process flows, field and access definitions, acceptance criteria, and edge cases, precise enough that the systems lead, the GTM Systems team, the AI Operations Engineer, or an implementation partner can build from them. Work with the GTM Systems team and the AI Operations Engineer through the full delivery cycle for enhancements, improvements, new builds, and bug fixes: hand over requirements, answer questions during the build, review what was built against the acceptance criteria, and coordinate the release. Own UAT for every change: write the test plan and test cases from the acceptance criteria, coordinate testers from the partner team, log and retest defects, collect sign-off, and smoke test in production after each release. Write and publish release notes for every release: what changed, who it affects, and what users need to do differently, in language partner managers can act on. Prioritize the backlog with stakeholders, weighing partner impact, risk, and effort, and keep a clear, visible view of what's coming next and why. Serve as the point of contact for bugs, enhancement requests, and system questions across Salesforce, PEM, and the partner portal, and own the intake queue end to end. Triage production incidents: reproduce the issue, assess impact and severity, resolve it or route it to the right owner, and keep affected teams updated until it's closed. Administer Salesforce for the partner org: objects, fields, page layouts, validation rules, flows, permission sets, reports, and dashboards. Understand how data moves between Salesforce and PEM, monitor integration health, and diagnose sync failures, mapping errors, and access issues. Document the platform: system documentation, data dictionary, integration maps, and admin runbooks. Identify repeatable admin and support requests, log them as automation candidates, and partner with the AI Operations Engineer to move them off the manual queue. Minimum qualifications Experience running discovery and requirements sessions with business stakeholders, and turning what you hear into user stories, process flows, and acceptance criteria. A track record of working with a systems or engineering team through a build, from requirements handover to release. Disciplined testing habits: you have planned and run UAT with business users, with test cases written from acceptance criteria, defects tracked to closure, and sign-off before release, and you don't consider a change done until it has been smoke tested. Clear written communication: your requirements get built correctly the first time, your release notes tell non-technical users what changed and what to do, and your documentation is something people actually use. You already use LLM tools like Claude in your day-to-day work and can show where it changed how you gather requirements, test, or document. A track record of owning a production Salesforce org or business systems stack, including the intake, triage, and release processes around it. Strong Salesforce admin skills: declarative configuration, flows, validation rules, the security and sharing model, and reporting. Working knowledge of integrations: how records sync between systems through APIs or middleware, how to read an error log, and how to trace a data issue back to its source. A structured approach to incidents: you separate symptoms from root cause and communicate clearly while things are broken. Judgment about priorities: you can say "no" or "not yet" and explain why. Preferred qualifications 5+ years as a business systems analyst, Salesforce administrator, or in a similar role where you owned discovery, requirements, and UAT for business systems, ideally supporting a partner, sales, or customer success organization. Experience working in a sprint-based delivery model, with a shared backlog and regular sprint reviews. Experience with partner relationship management (PRM) platforms, partner portals, or channel programs such as deal registration, certifications, or MDF. Salesforce release management experience: sandboxes, change sets or DevOps tooling, and deployment checklists. SQL or scripting skills for data investigation and cleanup. Salesforce Administrator, Platform App Builder, or Business Analyst certification. How this role works with the team You'll work day to day with our Partner Business Systems Lead, who owns systems architecture and the partner portal, the GTM Systems team, who build and release changes in Salesforce, and our AI Operations Engineer, who builds the agentic workflows that run across those systems. The systems lead designs the platform, the GTM Systems team and the AI Operations Engineer build on it, and you connect the business to the build: you run discovery, capture the requirements, lead UAT, and publish the release notes for enhancements, improvements, new builds, and bug fixes. You'll also be the main point of contact for partner managers and other internal teams who depend on these systems. 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: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Brazil Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking an experienced Commercial Counsel to join our Legal Team in Brazil. In this role, you will support complex commercial transactions with a primary focus on Brazil and support for other LATAM countries, including SaaS, licensing, and strategic partnerships, while helping the company navigate diverse legal and regulatory frameworks in the rapidly evolving field of artificial intelligence. You will work closely with global colleagues to provide practical, business-oriented advice that enables growth while managing risk across multiple jurisdictions. RESPONSIBILITIES - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in Brazil, with support for other LATAM countries, including enterprise customer contracts - Partner with sales, business development, and operations teams to design and implement strategies that support high-growth go-to-market initiatives. - Monitor and interpret evolving country specific legal and regulatory developments, including data protection, technology, and AI-related frameworks, and apply this knowledge to contract drafting and risk assessment. - Develop, maintain, and localize contract templates, playbooks, and policies to reflect local requirements and industry best practices. - Provide clear, pragmatic, and commercially focused legal advice to cross-functional teams, tailoring advice to enable responsible growth and innovation. - Contribute to scaling the Legal Team’s commercial function, fostering a collaborative, solutions-oriented team culture. WHO YOU ARE - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise to cutting-edge products. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and commercial success. - Hunger to be exceptional at your job. WHAT YOU BRING - Law degree and qualification to practice law in Brazil. - Native-level Portuguese and fluent English; Spanish is strongly preferred. - 7+ years of relevant post-qualification legal experience (in-house experience in technology or SaaS strongly preferred). - Proven track record drafting and negotiating complex commercial and technology agreements. - Strong knowledge of enterprise software licensing, SaaS, data protection, and intellectual property. - Experience advising on privacy, cybersecurity, and cross-border data transfer issues. - Excellent communication, stakeholder management, and problem-solving skills. - Comfort in fast-paced environments with shifting priorities and tight deadlines LOCATION This role is remote, so it can be executed from anywhere in Brazil. However, we prefer candidates based in Sao Paulo, Brazil. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? In AI, proximity to customer reality is the moat. Even the best model doesn't run itself: it takes someone who gets close enough to a customer's business to make it work, and that closeness doesn't happen on its own. That's where the Forward Deployed Product Manager comes in. You'll work directly with our biggest customers at the moments that matter most in their journey with Fin, whether that's proving out value in an evaluation, getting a deployment live, or expanding what's possible once it's working, and get them to real, measurable success with Fin faster than they'd get there on their own. What you learn with them feeds back into the product, so every customer after them gets there faster and better too. This is a very novel role in the industry, still being shaped, and you'll help sharpen what great looks like at Fin: evolving the playbooks, and shaping how we win and deliver on our biggest, highest-stakes deals. This is a high-ownership, high-visibility role for a PM who wants real time with customers and hands-on time with the product, and who's comfortable making progress before every answer is known. What will I be doing? Own outcomes for a portfolio of strategic customers deploying Fin. Understand their business, their support operation, and their technical environment well enough that the deployment plan you propose earns trust immediately. Run the full arc yourself. Pitch and demo Fin, scope the solution, hands-on configure it (including custom development if required), and unblock whatever gets in the way, whether that's a product gap, a technical integration, or a cross-functional snag. Be the AI expert in the room. Customers should leave every conversation with you knowing more about how to get outstanding results from Fin. Partner tightly with Sales, Success, and R&D so each deployment feels like one team to the customer, not a relay race. Turn what you learn in the field into product. Bring specific, evidence-backed input, not just feature requests, to shape the roadmap. Build the playbook as you go: the deployment patterns, templates, and best practices that make the next ten deployments faster than the first. Help define what Forward Deployed PM means at Fin . It's a very novel role across the industry, still being shaped, and you'll help sharpen what it looks like here. Success in this role looks like your customers thriving with Fin, and the product getting sharper because of what you learned from them. It's product management at its core, not solutions engineering, customer success, or professional services. What skills do I need? Experience: No minimum years required. We care about impact, drive, and potential, evidenced through the skills below, not tenure. Customer obsession: Deep empathy paired with a bias for action. You're motivated by solving the real problem and delivering measurable results. Communication & storytelling: You can pitch Fin to a room of executives, then get into the technical weeds with their engineers, adjusting depth and tone without losing either audience. Technical fluency: You're able to talk to engineers and customers about modern tech stack, from APIs and SaaS infrastructure to LLMs and low-code tooling. You're comfortable onboarding a customer into more technical product setups. Evidence-based thinking: You use data, not anecdotes, to make the case for a deployment plan or a roadmap bet, and you're comfortable pulling and interpreting data (conversation logs, usage, CX metrics) to find the story. Cross-functional influence: You navigate organizational boundaries easily, and bring people together to get the best outcome for customers and Fin. Comfort with ambiguity: You thrive in fast-changing, undefined environments, switching fluidly between big-picture strategy and in-the-weeds execution. Operational rigor: Operational rigor: You're highly organized and structured, managing multiple deployments and priorities without becoming reactive, and you know when a moment calls for speed versus polish. Even better if you have: Experience building product for enterprise customers Startup or B2B SaaS experience Background in technical consulting, solutions engineering, or customer success #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: This role reports to the Senior Director, People Experience EMEA and is part of the global PX team. The role will be looking after for all operational elements of HR and is part of the core foundation to the success of our HR Operating model and enables us to continue to build a smooth and efficient employee experiences. Successful candidates will have worked in similar sized organisations with a remit of multiple countries. The remit is currently growing as we are centralising European Tier 1 activity into the center. The team consists of focused Advisory teams based in London as well as HR Managers who have hybrid roles (Tier 1 and Tier 2) based in France, Germany and Spain. What you'll be doing: Accountable for all activity associated with first line HR support (Tier 1), this includes:  data integrity which feeds into Payroll and reporting. Key HR systems are Workday and ServiceNow (Nexus tickets); implement HR policies consistently, oversee country specific onboarding, offboarding, benefit administration, , administration of employee changes (starter, leaver, changes), employee screening, Right to Work checks, HR compliance, Tier 1 ticketing SLAs and continuous process improvement and tech stack automation focus across the region. Develop and maintain strong relationships with key roles in the wider HR team such as PX Consultants, in-house Legal team, Payroll team, Global Mobility, PTS (technology), COEs (Talent, DEI, Total Rewards etc) as well as regional leaders to ensure you have a deep understanding of business needs and ability to schedule team resource. The key is to continuously improve and develop operational support best practice and review opportunities for improvement with a global lens even when the role is regional. In partnership with the Senior Director People Experience and senior stakeholders, scope requirements for HR Operations across Europe with the aim to establish and maintain a full European HR Operations service. Countries currently in scope include France, Germany, Netherlands, Belgium, Spain, Portugal, Italy, UK and Ireland Responsible for the team’s  adoption and successful achievement of current SLAs and KPIs on the Nexus ticketing system, goals and continuous improvement projects to align with changing business needs and re-establish a customer focused and proactive approach across the team and line with the globalisation of our function. Coach, develop and train team members to avoid single point dependencies and build for scale and knowledge sharing. Create and maintain relevant external supplier relationships and regularly review their SLAs (e.g. pre-employment screening, Right to Work checks etc)  as well as the budget related to yearly activities for Tier1 Present regular reports to leadership to illustrate KPIs, changes in processes/policies, noticeable trends and project updates with reflective learnings as well as proactive forward looking focal points. This role requires strong collaboration communication skills. Build mechanisms to enable a self-service culture by ensuring core platforms are regularly reviewed and maintained including knowledge articles and regularly reviewing training material for the team and the business Leads a continuous improvement culture, driving ongoing development, evaluation/testing, and maintenance of processes and documentation (e.g., Tier 0 Knowledge Base, Standard Operating Procedures). Lead projects to improve processes and technology e.g. implementing screening, integrating new work streams Maintain appropriate confidentiality in all of the above, ensuring legal and compliance requirements are met (e.g. employment legislation, data protection etc.) What we're looking for: Experience of managing an operational HR services function with multi-site accountability across EMEA, with specifically working with SLAs/KPIs through a ticketing system and managing a team of 5-10 direct reports. Proven line management capability with a focus on driving performance, team development, continuous improvement as well as evolve the model as centralisation progresses. Experience implementing new technologies and/or harmonising multiple systems and simplify / automate processes Strong experience of building collaborative relationships across the business and HR to gain a detailed understanding of commercial drivers. Excellent written, verbal and numeracy skills with the ability to present to senior stakeholders. Ability to analyse data/information and interpret it into recommendations. Strong eye for detail with a pragmatic approach to solving problems and working well under pressure with multiple project deliveries at any one time Strong IT skills with a focus on Microsoft Office and HRIS such as Workday. Proven HR advisory experience and can provide advice associated with employment regulations and procedures. Project management experience in complex matrix global organisations Desirable : Transformational HR experience across multiple countries. Worked with in the Tech or Gaming industry. Degree level education or CIPD qualified. Benefits: Discretionary bonus opportunity Hybrid Working Private Medical Insurance Dental Scheme 25 days holiday per year On Site Gym Subsidised Café Free soft drinks On site bar Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. We're looking for a Product Manager to own Pricing within our Growth team across Deliveroo and Wolt! This role operates across 40+ markets in EMEA, and sits at the heart of our marketplace: Our fee strategy directly shapes consumer conversion, order frequency, PnL outcomes - and connects deeply to rider earnings and merchant economics across the Globe. You'll be responsible for building a pricing strategy and experimentation roadmap that grows revenue and profitability sustainably, without compromising the customer experience. This is a very high-visibility role. You'll partner closely with Leadership, Data Science, Engineering, Finance, Marketing, and Operations to design, launch, and iterate on pricing experiments across all markets, from delivery fee and service fee algorithms to 0-1 new ventures. You'll be expected to build a strong testing culture, translate ambiguous commercial questions into a rigorous experimentation agenda, and communicate results and trade-offs clearly to senior stakeholders. About the Team Our ambition is simple: make our platform an affordable, daily habit for all users. The Pricing team builds the systems and experiences that touch every single order — from delivery options to promotions, fees, and entirely new pricing models. Operating across 40+ markets, our work sits at the intersection of customer value, growth, and marketplace economics. Small changes at this scale can change how customers perceive us, how often they order, and the economics of the entire marketplace. We bring together consumer psychology, experimentation, data science, economics, and product craft to answer one deceptively difficult question: How do we make every order feel like great value while driving sustainable growth? What You’ll Do Own the end-to-end strategy and roadmap for a portfolio of global pricing products. Identify and launch major growth opportunities across affordability, conversion, frequency, revenue, and profitability. Drive 0 to 1 big bets through validation, launch, then scale them 100X. Partner deeply with Data Science and ML Engineering to design pricing algorithms, experiments, and scalable platform capabilities. Develop hypotheses, launch experiments, interpret results, and turn learnings into product strategy. Define the metrics and decision frameworks used to evaluate customer value, growth, and marketplace economics. Communicate strategy, results, and tradeoffs to senior leaders across DoorDash. What We’re Looking For You might be a great fit if you: Have significant product management experience building complex consumer, marketplace, growth, or monetization products. Are deeply analytical and comfortable using experimentation and data to make high-stakes product decisions. Are comfortable working closely with Data Science and ML Engineering on algorithmic or optimization problems. Can turn ambiguous commercial questions into clear and executable product hypotheses and roadmaps. Can operate as a “conductor” — aligning technical, operational, and business stakeholders and stitching together strategy, execution, and influence across teams. Why Join Us? At Deliveroo and Wolt, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here . Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Istanbul, Türkiye Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity This role will support the Legal & Compliance Operations team in Türkiye, with a focus on AML, transaction monitoring and investigations, KYC/KYB, sanctions and PEP screening, and suspicious transaction reporting. You’ll work closely with Compliance and cross-functional teams to investigate financial crime risks, support MASAK and regulatory requirements, and maintain effective compliance controls and documentation. This is a strong opportunity for an early-career compliance professional looking to build their experience within a fast-paced financial services, FinTech and crypto environment. What You’ll Be Doing Support the establishment and maintenance of Legal & Compliance Support Operations in accordance with Law No: 5549 on Prevention of Laundering Proceeds of Crime, related regulations and MASAK Notifications. Assist in the onboarding process of individual and corporate accounts, ensuring compliance with identity verification and other customer identification measures as per Law No. 5549. Provide support in overseeing the overall process of corporate account management. Support the generation and maintenance of suspicious transaction reports, collaborating with cross-functional teams for effective communication with MASAK. Assist in the management of risk control processes to ensure compliance and mitigate financial risks. Assist in managing and preserving documentation processes for corporate user and suspicious transaction reports, ensuring compliance and proper record-keeping in accordance with relevant regulations and internal policies. Support in conducting preparatory work for upcoming regulatory audits and proactively contributing to potential licensing requirements, ensuring compliance with applicable regulations and facilitating the smooth implementation of necessary measures. Monitor national and international sanction lists, Politically Exposed Person (PEP) databases, and Legal Gazette for compliance purposes. Assist in implementing appropriate measures in accordance with relevant laws and regulations. What We Look For In You At least 1-2 years of experience in compliance, risk management, or regulatory affairs, preferably within the financial, fintech, or cryptocurrency sector. Background in technology-driven, fintech, financial services, or regulated environments (crypto experience is a plus but not mandatory). Understanding of or exposure to AML, compliance, risk, internal controls, or regulatory frameworks, ideally within the Turkish regulatory environment. Familiarity with MASAK and SPK regulations or the ability to quickly learn and apply regulatory requirements. Experience or strong interest in data analysis, business analysis, automation, AI-enabled tools, or compliance systems. Strong analytical, research, and problem-solving skills, with the ability to interpret regulatory requirements and translate them into operational processes. Well-organised, detail-oriented, and able to manage documentation and controls accurately. Strong written and verbal communication skills in English; ability to collaborate effectively with cross-functional teams. Proficiency in monitoring compliance databases, risk tools, and reporting systems (e.g., transaction monitoring, screening tools). A proactive mindset, high integrity, and the ability to work in a fast-paced, technology-driven environment. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-GB1 #LI-HYBRID 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 .