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  <jobs>
    <job>
      <externalid>b6319233-63d</externalid>
      <Title>Senior BSA/AML Investigator</Title>
      <Description><![CDATA[<p>Job Description:</p>
<p>About xAI</p>
<p>xAI&#39;s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.</p>
<p><strong>ABOUT THE ROLE:</strong></p>
<p>The Payments team is seeking an experienced BSA/AML Investigator to help detect, prevent, and report financial crimes.</p>
<p><strong>RESPONSIBILITIES:</strong></p>
<ul>
<li>Independently investigate and resolve complex alerts and cases from transaction monitoring systems, including in-depth analysis of payment flows and user behaviours.</li>
<li>Prepare, review, and recommend filing of Suspicious Activity Reports (SARs), ensuring high-quality narratives and supporting documentation.</li>
<li>Assist with KYC and onboarding matters as required.</li>
<li>Conduct Enhanced Due Diligence (EDD) on high-risk users and transactions; perform periodic reviews of customer risk profiles and recommend adjustments to risk ratings.</li>
<li>Assist in tuning and optimising transaction monitoring rules and scenarios to reduce false positives while maintaining detection effectiveness.</li>
<li>Mentor and provide guidance to junior team members on investigation techniques and regulatory requirements.</li>
<li>Collaborate with internal teams (e.g., Product, Risk, Legal) on compliance-related initiatives and new product launches.</li>
<li>Maintain expertise in evolving BSA/AML/OFAC regulations, FinCEN guidance, and payment industry financial crime trends</li>
</ul>
<p><strong>BASIC QUALIFICATIONS:</strong></p>
<ul>
<li>4+ years of hands-on experience in AML, ideally in fintech or banking.</li>
<li>Familiarity with financial crime risks specific to digital payments, money transmission, wallets, or peer-to-peer platforms is highly desirable.</li>
<li>Proven experience preparing and filing SARs, including high-quality, well-structured narratives , strongly preferred.</li>
<li>In-depth knowledge of BSA/AML laws and regulations, including the Bank Secrecy Act (BSA), USA PATRIOT Act, OFAC sanctions, and related requirements.</li>
<li>Proven familiarity with local, regional, and international regulatory bodies (e.g., FinCEN, FATF, or equivalent), with practical experience navigating their guidelines.</li>
<li>Demonstrated ability to drive operational changes, manage competing priorities, and collaborate effectively across global teams and regions.</li>
<li>Strong analytical mindset with structured problem-solving skills, a sense of urgency, and the capacity to work independently under minimal supervision.</li>
<li>Excellent verbal, written, and presentation skills, paired with interpersonal abilities to influence stakeholders at all levels and advance strategic initiatives.</li>
<li>Quick learner with adaptability to evolving technologies, regulations, and business needs.</li>
<li>AML-related certifications (e.g., CAMS, CGSS) are preferred but not required.</li>
</ul>
<p><strong>COMPENSATION AND BENEFITS:</strong></p>
<p>$125,000 - $150,000 USD</p>
<p>Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$125,000 - $150,000 USD</Salaryrange>
      <Skills>AML, fintech, banking, financial crime risks, digital payments, money transmission, wallets, peer-to-peer platforms, SARs, BSA/AML laws and regulations, Bank Secrecy Act, USA PATRIOT Act, OFAC sanctions, FinCEN guidance, FATF, regulatory bodies, transaction monitoring systems, payment flows, user behaviours, KYC, onboarding, Enhanced Due Diligence, customer risk profiles, risk ratings, transaction monitoring rules, scenarios, false positives, detection effectiveness, investigation techniques, regulatory requirements, compliance-related initiatives, new product launches, evolving technologies, regulations, business needs</Skills>
      <Category>Finance</Category>
      <Industry>Technology</Industry>
      <Employername>xAI</Employername>
      <Employerlogo>https://logos.yubhub.co/xai.com.png</Employerlogo>
      <Employerdescription>xAI creates AI systems to understand the universe and aid humanity in its pursuit of knowledge.</Employerdescription>
      <Employerwebsite>https://www.xai.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/xai/jobs/5058161007</Applyto>
      <Location>New York, NY</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>67010067-64d</externalid>
      <Title>Marketing Analyst</Title>
      <Description><![CDATA[<p>We are in need of a marketing analyst responsible for maximizing customer value across Jeeves&#39; entire user base and be the focal point for marketing in Brazil. This position sits at the intersection of marketing, product, and data, driving tangible results by increasing the adoption and usage of Jeeves&#39; financial products.</p>
<p>The role reports to the Head of Marketing and is part of a global marketing team. It involves an 80% Global focus on strategic growth initiatives and a 20% Local focus on optimizing and executing tailored programs for the local market.</p>
<p>Responsibilities:</p>
<p>Global Responsibilities (80%):</p>
<ul>
<li>Analyze customer behaviour, industries, products, and regions to identify opportunities for growth.</li>
<li>Design and execute activation, upsell, cross-sell, and re-engagement campaigns.</li>
<li>Partner with product, customer success, and data teams to identify expansion opportunities.</li>
<li>Build lifecycle marketing programs, usage nudges, and behavioural triggers.</li>
<li>Drive increased usage of cards, stablecoin, and payment products.</li>
<li>Optimize spend volume, ARPU, and product adoption by cohort.</li>
</ul>
<p>Local Responsibilities (20%):</p>
<ul>
<li>Coordinate local customer activations, workshops, and events.</li>
<li>Develop a deep understanding of local customer behaviour and opportunities.</li>
<li>Support country-specific campaigns and materials.</li>
</ul>
<p>Key Performance Indicators:</p>
<ul>
<li>Net Revenue Retention (NRR)</li>
<li>ARPU</li>
<li>Transaction volume</li>
<li>Percentage of active customers</li>
<li>Adoption of key products</li>
</ul>
<p>Ideal Candidate:</p>
<ul>
<li>2+ years of experience in FMCGs, marketing, product marketing, or customer success.</li>
<li>Fluent in English.</li>
<li>Strong mix of growth, data, and user mindset.</li>
<li>Bachelor&#39;s degree in a quantitative or business field.</li>
<li>Agile and able to pivot quickly with the changing environment.</li>
<li>Collaborative and team-oriented.</li>
<li>Previous experience in FinTech, B2B SaaS, or high-growth startup environments.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>SQL, CRM tools, data querying language, customer success, product marketing, marketing, growth mindset, data analysis, user behaviour, FinTech, B2B SaaS, high-growth startup environments</Skills>
      <Category>Marketing</Category>
      <Industry>Finance</Industry>
      <Employername>Jeeves</Employername>
      <Employerlogo>https://logos.yubhub.co/jeeves.com.png</Employerlogo>
      <Employerdescription>Jeeves is a financial operating system built for global businesses, providing corporate cards, cross-border payments, and spend management software within one unified platform. The company operates across 20+ countries and serves over 5,000 clients.</Employerdescription>
      <Employerwebsite>https://www.jeeves.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/tryjeeves/9c5d363c-26c4-44da-99ca-311545ccfbe5</Applyto>
      <Location>São Paulo</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>ccdfdbc6-9b5</externalid>
      <Title>Research Scientist, Gemini Personal Intelligence</Title>
      <Description><![CDATA[<p>At Google DeepMind, we&#39;re pushing the boundaries of Large Language Models (LLMs) to build the brain of the world&#39;s most helpful personal assistant. As a Research Scientist for Gemini Personal Intelligence, you will advance the state-of-the-art in understanding and reasoning to create an AI that truly understands, remembers, and adapts to the user&#39;s unique life and context.</p>
<p>Key responsibilities for this role include:</p>
<ul>
<li>Driving research on post-training techniques (e.g., RL, SFT, and preference optimisation) specifically tailored for personalisation scenarios.</li>
<li>Developing novel evaluation frameworks and simulation methods to measure model quality against user behaviours / feedback.</li>
<li>Designing and training agents capable of orchestrating tools and APIs to deliver hyper-personalised experiences.</li>
</ul>
<p>We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don&#39;t work out.</p>
<p>To succeed in this role, you will need:</p>
<ul>
<li>A PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).</li>
<li>A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions).</li>
<li>Strong software engineering skills to complement your research background.</li>
</ul>
<p>In addition, hands-on experience with modern post-training methods (SFT, RLHF, etc.) and prior work applying LLMs to personalisation, memory, or agentic workflows would be an advantage.</p>
<p>At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer include enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$141,000 USD - 244,000 USD + bonus + equity + benefits</Salaryrange>
      <Skills>Machine Learning, Computer Science, Software Engineering, Post-training techniques, RL, SFT, Preference optimisation, Evaluation frameworks, Simulation methods, Model quality, User behaviours, Feedback, Agent design, Tool orchestration, API integration, Hyper-personalisation, Modern post-training methods, LLMs, Personalisation, Memory, Agentic workflows</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Google DeepMind</Employername>
      <Employerlogo>https://logos.yubhub.co/deepmind.com.png</Employerlogo>
      <Employerdescription>Google DeepMind is a leading artificial intelligence research organisation.</Employerdescription>
      <Employerwebsite>https://deepmind.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/deepmind/jobs/7477025</Applyto>
      <Location>Mountain View, California, US</Location>
      <Country></Country>
      <Postedate>2026-03-16</Postedate>
    </job>
    <job>
      <externalid>68c29e94-faa</externalid>
      <Title>Technical Cyber Threat Investigator</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic&#39;s AI systems for malicious cyber operations.</p>
<p>You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Detect and investigate attempts to misuse Anthropic&#39;s AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities</li>
</ul>
<ul>
<li>Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform</li>
</ul>
<ul>
<li>Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems</li>
</ul>
<ul>
<li>Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data</li>
</ul>
<ul>
<li>Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale</li>
</ul>
<ul>
<li>Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports</li>
</ul>
<ul>
<li>Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders</li>
</ul>
<ul>
<li>Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices</li>
</ul>
<p><strong>You may be a good fit if you</strong></p>
<ul>
<li>Have demonstrated proficiency in SQL and Python for data analysis and threat detection</li>
</ul>
<ul>
<li>Have experience with large language models and understanding of how AI technology could be misused for cyber threats</li>
</ul>
<ul>
<li>Have subject matter expertise in abusive user behaviour detection, such as influence operations, coordinated inauthentic behaviour, or cyber threat intelligence</li>
</ul>
<ul>
<li>Have experience tracking threat actors across surface, deep, and dark web environments</li>
</ul>
<ul>
<li>Can derive insights from large datasets to make key decisions and recommendations</li>
</ul>
<ul>
<li>Have experience with threat actor profiling and utilising threat intelligence frameworks (MITRE ATT&amp;CK, etc.)</li>
</ul>
<ul>
<li>Have strong project management skills and ability to build processes from the ground up</li>
</ul>
<ul>
<li>Possess excellent communication skills to collaborate with cross-functional teams and present to leadership</li>
</ul>
<p><strong>Strong candidates may also have</strong></p>
<ul>
<li>Experience working with government agencies or in regulated environments</li>
</ul>
<ul>
<li>Background in AI safety, machine learning security, or technology abuse investigation</li>
</ul>
<ul>
<li>Experience building and scaling threat detection systems or abuse monitoring programs</li>
</ul>
<ul>
<li>Active Top Secret security clearance</li>
</ul>
<p><strong>Deadline to apply</strong></p>
<p>None. Applications will be reviewed on a rolling basis.</p>
<p><strong>Logistics</strong></p>
<ul>
<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>
</ul>
<ul>
<li>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.</li>
</ul>
<ul>
<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</li>
</ul>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>
<p>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&#39;re interested in this work.</p>
<p><strong>Your safety matters to us.</strong></p>
<p>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&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/career</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$230,000 - $290,000 USD</Salaryrange>
      <Skills>SQL, Python, large language models, AI technology, cyber threats, abusive user behaviour detection, threat actor profiling, threat intelligence frameworks, project management, communication skills, experience working with government agencies, background in AI safety, machine learning security, technology abuse investigation, experience building and scaling threat detection systems</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a quickly growing organisation working to create reliable, interpretable, and steerable AI systems. Its mission is to make AI safe and beneficial for users and society.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5066995008</Applyto>
      <Location>San Francisco, CA, Washington, DC</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
  </jobs>
</source>