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<source>
  <jobs>
    <job>
      <externalid>52ddfa4d-5cc</externalid>
      <Title>Senior Staff Technical Program Manager, Personal Intelligence</Title>
      <Description><![CDATA[<p>As a Senior Technical Program Manager focused on Gemini&#39;s personalization efforts, you will define the strategic vision and orchestrate the execution of our most ambitious personal intelligence capabilities.</p>
<p>You will act as a central leader, coordinating across vast cross-functional domains to drive cutting-edge model capabilities from research to global production.</p>
<p>Key responsibilities include:</p>
<p>Strategic Leadership: Architect, scope, and lead complex technical programs for model development at an organizational level, defining best practices for delivering frontier research to production.</p>
<p>Organizational Alignment: Direct and align vast cross-functional organizations working on personal intelligence to advance the state of the art research in this domain. Act as a trusted advisor to senior executive leadership.</p>
<p>Risk &amp; Strategy Management: Proactively identify and resolve systemic risks, dependencies, and changing circumstances across multiple product surfaces, implementing scalable, long-term solutions.</p>
<p>Technical Problem Solving: Apply deep technical intuition to identify and execute pragmatic solutions, directly unblocking novel modeling techniques and resolving high-level technical architecture disputes.</p>
<p>Process Excellence: Define program management methodologies and governance models for the broader organization, driving operational excellence across multiple teams and product areas.</p>
<p>We look for the following skills and experience:</p>
<p>Experience: 12+ years of experience leading organizational-level technical programs, with a strong track record of successful program delivery at massive scale.</p>
<p>Technical Foundation: Expert-level technical background, with deep AI knowledge and extensive experience in the development of foundational models and their integration into global products.</p>
<p>Communication &amp; Collaboration: Exceptional executive presence and stakeholder management skills, paired with meticulous organization and attention to detail. You excel at building trust, navigating complex organizational dynamics, and synthesizing highly complex technical strategies to act as a trusted advisor to executive leadership.</p>
<p>Leadership &amp; Ownership: Exceptional leadership capabilities, with a proven ability to take full ownership of sweeping organizational initiatives, drive cross-PA alignment, and overhaul governance models across vast engineering and research teams.</p>
<p>Adaptability: Proven ability to navigate highly ambiguous, ever-evolving environments, demonstrating leadership and resourcefulness in resolving systemic challenges.</p>
<p>AI Passion &amp; Practical Application: Passionate about AGI and deeply curious about emerging technologies. You are a hands-on practitioner who actively utilizes the latest AI tools, agents, and coding assistants to accelerate workflows and drive operational excellence.</p>
<p>The US base salary range for this full-time position is between $240,000 USD - $334,000 USD + bonus + equity + 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>$240,000 USD - $334,000 USD + bonus + equity + benefits</Salaryrange>
      <Skills>Expert-level technical background, Deep AI knowledge, Extensive experience in the development of foundational models, Exceptional executive presence and stakeholder management skills, Meticulous organization and attention to detail</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 team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence.</Employerdescription>
      <Employerwebsite>https://deepmind.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/deepmind/jobs/7775721</Applyto>
      <Location>Mountain View, California, US</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>e49fd9b7-491</externalid>
      <Title>Applied Research Engineer, Agents</Title>
      <Description><![CDATA[<p>Job Title: Applied Research Engineer, Agents</p>
<p>About the Role:</p>
<p>As an Applied Research Engineer, you will be the bridge between research, industry, and application shaping the future of our core natural language processing systems. You will be responsible for enabling agentic capabilities across the Hebbia product suite. You will own experiments and POCs focused on combining the latest research findings with specific high-value problems that our customers encounter each and every day.</p>
<p>Responsibilities:</p>
<ul>
<li>Focused on LLMs, you will play a crucial role in analyzing and interpreting complex data types to derive and implement cutting-edge insight generation systems.</li>
<li>Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader.</li>
<li>You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms.</li>
<li>Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company.</li>
<li>Collaborate with cross-functional teams to improve NLP/LLM capabilities in app.</li>
<li>Stay up-to-date with the latest advancements and research in the space.</li>
<li>Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications.</li>
<li>Ensure that systems are efficient, maintainable, and well-monitored.</li>
<li>Iterate on validation and testing frameworks.</li>
</ul>
<p>Requirements:</p>
<ul>
<li>Bachelor&#39;s degree in Computer Science, Engineering, or related field.</li>
<li>Master&#39;s degree in Computer Science, Mathematics, Machine Learning, or a related field is a plus.</li>
<li>7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems.</li>
<li>Strong programming skills in Python.</li>
<li>Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika.</li>
<li>Experience with Search and Indexing technologies.</li>
<li>Proficient in machine learning techniques and algorithms.</li>
<li>Experience working with foundational models and corresponding APIs.</li>
<li>Knowledge of statistical analysis and data scraping techniques.</li>
<li>Prior experience in developing NLP models and systems.</li>
<li>Experience with prompting and building LLM applications and agents is a plus.</li>
</ul>
<p>Benefits:</p>
<ul>
<li>Experience building agentic systems or LLM-enabled products.</li>
<li>Frequent user of AI products, especially during the development lifecycle (i.e., Cursor, Claude Code, etc).</li>
</ul>
<p>Compensation:</p>
<p>The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate&#39;s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.</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>$160,000 to $300,000</Salaryrange>
      <Skills>Python, NLP, Machine Learning, Statistics, Programming, Search and Indexing technologies, Foundational models, APIs, Statistical analysis, Data scraping techniques, LLM applications, Agentic systems, AI products</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Hebbia</Employername>
      <Employerlogo>https://logos.yubhub.co/hebbia.com.png</Employerlogo>
      <Employerdescription>Hebbia is an AI platform for investors and bankers that generates alpha and drives upside, founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz.</Employerdescription>
      <Employerwebsite>https://hebbia.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/hebbia/jobs/4585152005</Applyto>
      <Location>New York City; San Francisco, CA</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>