OKX is a world-leading digital asset exchange, providing advanced financial services to traders worldwide leveraging blockchain technology. Our platform offers spot & derivatives trading helping traders optimize their strategy. It provides a safe, reliable and stable environment for digital assets trading via web interface and mobile app by adopting GSLB, and distributed server clusters. We believe blockchain technology will eliminate barriers to transactions, increase the efficiency of transactions across society, and eventually have a significant impact on the global economy. We strive to achieve something that changes the world and never stop to innovate and improve on our customer experience.

Senior Talent Acquisition Manager, P&E

Head of Market Integrity and Surveillance, Internal Audit

Head of Non-Financial Risk, Audit

Operational Senior Audit Manager, LACC

Manager, Enterprise Compliance Project Management

Director, Data Product Management

Program Manager

OKX is seeking a Senior Talent Acquisition Manager for Product & Engineering to lead and scale high-impact hiring globally. This strategic role involves advising business and HR leaders, shaping hiring strategy, and driving outcomes for critical technical and product roles. You will build talent pipelines, identify risks, implement scalable recruiting solutions, and use data to improve hiring quality for OKX's core platforms and products.

Data Product Director/Principal (Data Platform Management), CEO Office

Who We AreAt 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.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About the Opportunity</h3>We are hiring a Senior Talent Acquisition Manager – Product & Engineering to lead and scale high-impact hiring across our Product Management and Engineering organizations globally. This role is designed for a senior-level recruiter and talent partner who operates as a strategic advisor to the business, builds scalable recruiting methodologies, and drives hiring outcomes for complex, high-priority, and future-critical roles. You will shape hiring strategy, elevate hiring maturity, and influence long-term workforce planning for teams building some of OKX’s most critical platforms and products. You will play a central role in strengthening OKX’s technical and product talent pipelines while helping establish consistent, data-driven recruiting practices across regions and stakeholder groups.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Be Doing</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead end-to-end hiring strategy and delivery for Product Management and Engineering roles, including high-impact and specialized positions.</li><li class="leading-relaxed">Act as a strategic talent advisor to business and HR leaders, influencing hiring priorities, role design, and long-term workforce plans.</li><li class="leading-relaxed">Build and maintain strategic talent pipelines to support growth, succession, and future-critical capabilities.</li><li class="leading-relaxed">Identify emerging hiring risks and market constraints, and implement scalable recruiting solutions.</li><li class="leading-relaxed">Drive consistent, structured hiring practices by improving recruiting processes, tools, and interview methodologies.</li><li class="leading-relaxed">Use recruiting data and market insights to improve pipeline health, hiring quality, and decision-making.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What We Look For in You</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">7+ years of full-cycle recruiting experience, with a strong focus on Product Management and Engineering hiring in a corporate, technology, or high-growth environment.</li><li class="leading-relaxed">Expert-level knowledge across multiple recruiting domains (technical sourcing, senior-level hiring, employer branding, talent mapping, and market intelligence).</li><li class="leading-relaxed">Demonstrated ability to identify, engage, and close high-caliber and niche technical and product talent, including passive candidates.</li><li class="leading-relaxed">Proven experience designing scalable recruiting methodologies and playbooks that improve delivery across teams or regions.</li><li class="leading-relaxed">Strong track record partnering with senior leaders and operating as a trusted advisor on hiring strategy and workforce planning.</li><li class="leading-relaxed">Highly data-driven, with experience using recruiting metrics and market insights to guide decision-making and improve outcomes.</li><li class="leading-relaxed">Comfortable leading complex, cross-functional hiring initiatives involving multiple stakeholders, systems, and geographies.</li><li class="leading-relaxed">Able to anticipate hiring challenges and market shifts and proactively implement solutions.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Nice To Have</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience recruiting within fintech, financial services, crypto, Web3, or highly regulated technology environments.</li><li class="leading-relaxed">Demonstrated passion for crypto, digital assets, and emerging financial technologies.</li><li class="leading-relaxed">Experience supporting global or multi-market hiring across the Americas, EMEA, and APAC.</li><li class="leading-relaxed">Exposure to hiring for product growth, payments, platform engineering, infrastructure, or data-driven technology teams.</li></ul>OKX Statement:OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.The salary range for this position is $171,000 - $257,000The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site#LI-HYBRIDNotice: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 <a href="https://www.okx.com/en-eu/help/okx-candidate-privacy-notice" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Candidate Privacy Notice</a>.

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- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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Anthropic

Safeguards Analyst, Account Abuse

Applied AI Engineer, Life Sciences (Beneficial Deployments)

Trade Compliance Counsel

Finance & Strategy, Compute Infrastructure

Finance & Strategy, Marketing Finance Business Partner

Senior Accounts Receivable Specialist

Senior Software Engineer, AI Reliability Engineering

Software Engineer, Encoding Libraries

Software Engineer, Human Data Interface

Anthropic is an AI safety and research company focused on building reliable, interpretable, and steerable AI systems. As a Safeguards Analyst specializing in Account Abuse, you will be crucial in developing and scaling detection, enforcement, and operational capabilities to protect the platform from abuse. Responsibilities include developing account signals and prevention frameworks, optimizing identity and account-linking signals, integrating third-party vendor signals, and managing payment fraud operations. The role requires strong analytical skills, experience with detection systems, and collaboration with cross-functional teams to ensure enforcement readiness and maintain quality.

Data Center Controls Engineer

Data Center Energy Lead

<h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">Safeguards Analyst, Account Abuse</h1>About AnthropicAnthropic’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 RoleAnthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As a Safeguards Analyst focusing on Account Abuse, you will play a critical role in building and scaling the detection, enforcement, and operational capabilities that protect our platform against scaled abuse.Important Context: In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.Responsibilities:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators</li><li class="leading-relaxed">Develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse</li><li class="leading-relaxed">Evaluate, integrate, and operationalize third-party vendor signals — assessing whether new data sources provide genuine lift in detection</li><li class="leading-relaxed">Expand internal account signals with new data sources and behavioral indicators to improve detection coverage</li><li class="leading-relaxed">Build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness</li><li class="leading-relaxed">Operationalize and iterate on enforcement tooling — including appeals workflows, review processes, and user communications — to maintain quality and scale with growing volume</li><li class="leading-relaxed">Analyze enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve</li><li class="leading-relaxed">Manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners</li><li class="leading-relaxed">Coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes</li><li class="leading-relaxed">Collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows</li><li class="leading-relaxed">Maintain detailed documentation of signal development, enforcement processes, and operational decisions</li></ul>Qualifications:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement</li><li class="leading-relaxed">Hands-on experience building detection systems, risk models, or enforcement processes and workflows</li><li class="leading-relaxed">Experience evaluating and integrating third-party data sources into detection or scoring pipelines</li><li class="leading-relaxed">Strong SQL and Python skills — this role involves heavy data analysis across complex, multi-table data relationships</li><li class="leading-relaxed">Familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications</li><li class="leading-relaxed">Demonstrated ability to analyze complex data problems and translate findings into actionable improvements</li><li class="leading-relaxed">Strong written and verbal communication skills — ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations</li><li class="leading-relaxed">Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field</li></ul>You might be a good fit if you:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Have built risk scores, detection systems, signal pipelines, or enforcement processes in a previous role — identity verification, trust and safety, or similar</li><li class="leading-relaxed">Are comfortable working with ambiguous, noisy data and extracting meaningful signal</li><li class="leading-relaxed">Think critically about signal quality and enforcement performance — evaluating whether new detection signals or processes meaningfully improve outcomes</li><li class="leading-relaxed">Have experience with graph-based data, account-linking problems, or cross-functional process design</li><li class="leading-relaxed">Are proactive about identifying gaps in existing detection or enforcement and proposing new approaches</li><li class="leading-relaxed">Have experience leveraging generative AI tools to support analytical, detection, or enforcement workflows</li><li class="leading-relaxed">Can balance deep analytical work with cross-functional collaboration and stakeholder coordination</li><li class="leading-relaxed">Have a background or interest in cybersecurity or threat intelligence (a plus, not a requirement)</li></ul>The annual compensation range for this role is listed below.For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$230,000 - $310,000 USDLogisticsEducation requirements: We require at least a Bachelor's degree in a related field or equivalent experience.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 differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Data Structures and Algorithms

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Senior Talent Acquisition Manager, P&E

Head of Market Integrity and Surveillance, Internal Audit

Head of Non-Financial Risk, Audit

Head of Non-Financial Risk, Audit

Operational Senior Audit Manager, LACC

Manager, Enterprise Compliance Project Management

Director, Data Product Management

Director, Data Product Management

Program Manager

Job Details