<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>35abb958-720</externalid>
      <Title>Product Owner - Cards</Title>
      <Description><![CDATA[<p>At bunq, we&#39;re not just building a banking app; we&#39;re reshaping how people around the world experience financial freedom.</p>
<p>As our Product Owner - Cards, your mission is to build the most seamless and secure card experiences on the planet. This means giving our users effortless control over their money - from getting a refund with a single tap, to getting paid by their customers using just their phone.</p>
<p>You&#39;ll own features that are critical to our user&#39;s financial life and business success. Your responsibilities will include:</p>
<p>Designing and delivering a frictionless, in-app refund process for card payments. Driving the vision and adoption of Tap to Pay, transforming our users&#39; phones into simple, powerful payment terminals and eliminating their need for complex, costly hardware. Ensuring both the refund and Tap to Pay experiences are perfectly adapted to meet the specific expectations and regulations of each new country we enter, making our product feel native everywhere.</p>
<p>If you&#39;re up for this challenge, join us!</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>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>product person, Mastercard related payments, payment systems, customer journey mapping, collaboration with engineers</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>bunq</Employername>
      <Employerlogo>https://logos.yubhub.co/careers.bunq.com.png</Employerlogo>
      <Employerdescription>bunq is a fintech company providing mobile banking services.</Employerdescription>
      <Employerwebsite>https://careers.bunq.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://careers.bunq.com/o/product-owner-cards-1</Applyto>
      <Location></Location>
      <Country></Country>
      <Postedate>2026-04-19</Postedate>
    </job>
    <job>
      <externalid>804df07a-fc5</externalid>
      <Title>Member of Technical Staff, AI Post-Training</Title>
      <Description><![CDATA[<p><strong>Summary</strong></p>
<p>Microsoft AI are looking for a talented Member of Technical Staff, AI Post-Training at their London office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising haptic entertainment technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the cinema and simulation markets.</p>
<p><strong>About the Role</strong></p>
<p>At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day. The AI Post – Training team at Microsoft AI is responsible for all aspects of post – training the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users.</p>
<p><strong>Accountabilities</strong></p>
<ul>
<li>Develop data collection, evaluation, and finetuning methods for models.</li>
<li>Design hypotheses and experiment plans for rapidly iterating on model performance.</li>
<li>Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality.</li>
<li>Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love.</li>
</ul>
<p><strong>The Candidate we&#39;re looking for</strong></p>
<p><strong>Experience:</strong></p>
<ul>
<li>Bachelor’s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li>
</ul>
<p><strong>Technical skills:</strong></p>
<ul>
<li>Expertise in post-training of AI models.</li>
</ul>
<p><strong>Personal attributes:</strong></p>
<ul>
<li>Passionate about conversational AI and its deployment.</li>
<li>Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Competitive salary.</li>
<li>Comprehensive benefits package.</li>
<li>Opportunities for professional growth and development.</li>
<li>Collaborative and dynamic work environment.</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>staff</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>Competitive salary</Salaryrange>
      <Skills>post-training of AI models, data collection, evaluation, finetuning methods, hypothesis design, experiment planning, model feature prototyping, collaboration with engineers and researchers, conversational AI, deployment, written and verbal communication, cross-functional team collaboration</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Microsoft AI</Employername>
      <Employerlogo>https://logos.yubhub.co/microsoft.ai.png</Employerlogo>
      <Employerdescription>Microsoft AI is a leading technology company that specializes in developing cutting-edge algorithms for post-training large language models (LLMs) and shipping those models to millions of users using Copilot every day.</Employerdescription>
      <Employerwebsite>https://microsoft.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://microsoft.ai/job/member-of-technical-staff-ai-post-training-mai-superintelligence-team-post-training-3/</Applyto>
      <Location>London</Location>
      <Country></Country>
      <Postedate>2026-03-06</Postedate>
    </job>
  </jobs>
</source>