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  <jobs>
    <job>
      <externalid>2633c729-ce3</externalid>
      <Title>Engineering Manager, People Products</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>In this role, you will lead the People Products team in defining the blueprint for AI at work. You will help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic&#39;s culture through the tools we build.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Build full-stack end-to-end across the People Products portfolio.</li>
<li>Design and implement AI-native workflows: build tools, evals, prompts, and products. You&#39;ll help define what is possible in applied AI for people processes.</li>
<li>Work directly with internal stakeholders , HR teams, recruiters, managers , to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.</li>
<li>Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.</li>
<li>Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.</li>
</ul>
<p><strong>You Might Be a Good Fit If You:</strong></p>
<ul>
<li>Have 4+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments.</li>
<li>Derive joy from hard work and the act of creation.</li>
<li>Have shipped LLM-native features or applications.</li>
<li>Are experienced enough to build big features independently, and make great architectural decisions along the way.</li>
<li>Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.</li>
<li>Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.</li>
<li>Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.</li>
<li>Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.</li>
<li>Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.</li>
</ul>
<p><strong>Strong Candidates May Also Have:</strong></p>
<ul>
<li>Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.</li>
<li>Background at an AI-native company or in a product-focused 0-&gt;1 engineering environment.</li>
<li>Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.</li>
</ul>
<p><strong>Logistics</strong></p>
<ul>
<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.</li>
<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.</li>
<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.</li>
<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>
<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>How we&#39;re different</strong></p>
<p>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&#39;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.</p>
<p><strong>Come work with us!</strong></p>
<p>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.</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>hybrid</Workarrangement>
      <Salaryrange>$320,000-$405,000 USD</Salaryrange>
      <Skills>Engineering Management, AI Native Workflows, Full Stack Development, Product Decisions, Communication Skills, MCP (Model Context Protocol), Claude or LLM Integrations, HR Tech Platforms, Greenhouse, Workday, Rippling</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5119478008</Applyto>
      <Location>Remote-Friendly (Travel Required) | San Francisco, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>b0e10e9d-46b</externalid>
      <Title>Director of Product Management, Robotics</Title>
      <Description><![CDATA[<p>As Director of Product Management for Robotics, you will provide overall Product leadership for DeepMind&#39;s Robotics program. You&#39;ll be responsible for setting the holistic product strategy for our Gemini powered robotic systems, driving product roadmap execution, and cultivating a robust ecosystem.</p>
<p>This is a unique opportunity to shape the future of intelligent robotics and push the frontier of our capabilities and end product offerings.</p>
<p>Artificial Intelligence could be one of humanity&#39;s most useful inventions. At Google DeepMind, we&#39;re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.</p>
<p>As the Director of Product Management for Robotics, you&#39;ll provide comprehensive product leadership, guiding the entire lifecycle of our robotic systems from concept to launch and beyond. You&#39;ll work closely with our Robotics Research and our Model teams to define and deliver cutting-edge products that integrate artificial intelligence and Gemini model capabilities to achieve enhanced functionality and autonomy.</p>
<p>Key Responsibilities:</p>
<ul>
<li>Product Vision &amp; Strategy: Define and evangelize the long-term product vision and strategy for our robotics portfolio.</li>
<li>Roadmap Development: Own the end-to-end product roadmap for robotics, prioritising features, capabilities, and new product introductions based on market analysis, customer needs/use cases, and technological advancements.</li>
<li>AI Integration Leadership: Help drive the integration of Gemini models and their capabilities into our robotic systems, identifying opportunities to enhance autonomy, perception, decision-making, and user interaction through intelligent algorithms and machine learning.</li>
<li>Ecosystem Development: Build and nurture strategic partnerships with key technology providers, academic institutions, and industry players to expand our robotics ecosystem and unlock new capabilities.</li>
<li>Market &amp; Customer Insight: Identify unmet needs, use cases, emerging trends, and new business opportunities in the robotics space.</li>
<li>Cross-Functional Leadership: Collaborate closely with Research, Program Management, and Marketing teams to ensure seamless product development, successful launches, and effective go-to-market strategies.</li>
<li>Performance Measurement: Define and track key product metrics, utilising data-driven insights to evaluate product performance, identify areas for improvement, and inform future product decisions.</li>
</ul>
<p>Skills &amp; Qualifications:</p>
<ul>
<li>Graduate degree in Robotics or Customer Science</li>
<li>Bachelor&#39;s degree in Engineering, Computer Science, Robotics, or a related technical field and a Master&#39;s degree in Robotics or Computer Science.</li>
<li>10+ years of experience in product management, with at least 5 years in a leadership role focused on AI/Foundation models, robotics, or highly technical hardware/software products.</li>
<li>At least 5 years of management experience, including managing senior PMs</li>
</ul>
<p>In addition, the following would be an advantage:</p>
<ul>
<li>Demonstrated experience with robotic systems that leverage AI for enhanced functionality, autonomy, or intelligent behaviour.</li>
<li>Strong understanding of AI/ML concepts, frameworks, and their application in real-world robotic systems.</li>
<li>Proven ability to define and execute product strategies, build detailed roadmaps, and successfully launch innovative products.</li>
<li>Exceptional leadership and communication skills, with the ability to manage strategic partnership, influence cross-functional teams, and present complex technical information clearly to diverse audiences.</li>
<li>Strong analytical and problem-solving skills, with a data-driven approach to product decisions.</li>
</ul>
<p>The US base salary range for this full-time position is between $272,000 - $383,000 + bonus + benefits.</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>$272,000 - $383,000 + bonus + benefits</Salaryrange>
      <Skills>Graduate degree in Robotics or Customer Science, Bachelor&apos;s degree in Engineering, Computer Science, Robotics, or a related technical field and a Master&apos;s degree in Robotics or Computer Science, 10+ years of experience in product management, At least 5 years in a leadership role focused on AI/Foundation models, robotics, or highly technical hardware/software products, At least 5 years of management experience, including managing senior PMs, Demonstrated experience with robotic systems that leverage AI for enhanced functionality, autonomy, or intelligent behaviour, Strong understanding of AI/ML concepts, frameworks, and their application in real-world robotic systems, Proven ability to define and execute product strategies, build detailed roadmaps, and successfully launch innovative products, Exceptional leadership and communication skills, Strong analytical and problem-solving skills, with a data-driven approach to product decisions</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. It uses its technologies for widespread public benefit and scientific discovery.</Employerdescription>
      <Employerwebsite>https://deepmind.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/deepmind/jobs/7135001</Applyto>
      <Location>Mountain View, California, US</Location>
      <Country></Country>
      <Postedate>2026-03-16</Postedate>
    </job>
  </jobs>
</source>