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    <job>
      <externalid>7bb498df-5ed</externalid>
      <Title>Associate Technical Program Manager (USG Systems) (Summer 2026)</Title>
      <Description><![CDATA[<p>As an Associate Technical Program Manager supporting our USG Government Technical Program Management team, you will be a key contributor to ensuring the successful execution of spacecraft programs. You&#39;ll apply systems thinking to complex technical challenges, write clear and rigorous documentation, and bring order to ambiguity across multiple engineering and stakeholder interfaces.</p>
<p>Your work will span across systems engineering, spacecraft integration, program planning, and cross-functional coordination,focusing on building technically sound, organized, and repeatable delivery paths.</p>
<p>This is an excellent opportunity for a first- or second-year aerospace engineer, systems engineer, or technical contributor seeking to move into a hybrid systems/program role while staying close to the engineering and architecture of space systems.</p>
<p>As an Associate position at Astranis, you will serve as a process and structure amplifier,identifying where organization, documentation, or systems rigor is missing and proactively closing the gap.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Owning and managing key systems engineering artifacts (ICDs, requirements traceability, CONOPS documents, integration plans) to support execution of USG spacecraft programs.</li>
</ul>
<ul>
<li>Driving the creation, version control, and delivery of key program documentation for internal and customer-facing use.</li>
</ul>
<ul>
<li>Maintaining and updating system-level schedules and technical deliverables in coordination with spacecraft engineering leads.</li>
</ul>
<ul>
<li>Tracking and managing program requirements, subsystem interfaces, and key milestones, escalating gaps, dependencies, or misalignments across teams.</li>
</ul>
<ul>
<li>Supporting risk identification and mitigation across hardware, software, and operations workstreams.</li>
</ul>
<ul>
<li>Coordinating and leading regular technical milestone reviews, including PDRs, CDRs, TRRs, and customer-facing reporting.</li>
</ul>
<ul>
<li>Partnering with mission engineering and subsystem leads to validate spacecraft performance against mission requirements.</li>
</ul>
<ul>
<li>Managing configuration and documentation control for all technical program assets.</li>
</ul>
<ul>
<li>Assisting with internal program review prep and customer briefings with rigor, clarity, and a focus on technical detail.</li>
</ul>
<p>Requirements include:</p>
<ul>
<li>1+ year of technical engineering experience in aerospace (e.g., systems, avionics, GNC, propulsion, integration &amp; test, mission operations).</li>
</ul>
<ul>
<li>Bachelor’s degree in aerospace engineering, mechanical engineering, electrical engineering, physics, or a similar technical field.</li>
</ul>
<ul>
<li>Familiarity with end-to-end spacecraft systems and how subsystems interact in space-based environments.</li>
</ul>
<ul>
<li>Excellent written communication skills and ability to structure and drive technical documentation.</li>
</ul>
<ul>
<li>Strong organizational skills,able to bring structure to technical chaos.</li>
</ul>
<ul>
<li>U.S. Citizenship required (due to government program access requirements).</li>
</ul>
<p>Bonus requirements include:</p>
<ul>
<li>Experience with U.S. government space programs (e.g., DoD, NRO, NASA).</li>
</ul>
<ul>
<li>Familiarity with Smartsheet, Jira, Confluence, and configuration management tools.</li>
</ul>
<ul>
<li>Exposure to requirements management tools like DOORS, Jama, or Flow.</li>
</ul>
<ul>
<li>Leadership in technical clubs, university projects, or capstone systems design efforts.</li>
</ul>
<ul>
<li>Knowledge of MIL-STD or other government systems engineering standards.</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>entry</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$1,925 per week</Salaryrange>
      <Skills>systems engineering, spacecraft integration, program planning, cross-functional coordination, technical documentation, risk identification, mitigation, configuration management, requirements management, U.S. government space programs, Smartsheet, Jira, Confluence, DOORS, Jama, Flow, MIL-STD</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Astranis</Employername>
      <Employerlogo>https://logos.yubhub.co/astranis.com.png</Employerlogo>
      <Employerdescription>Astranis builds advanced satellites for high orbits, expanding humanity&apos;s reach into the solar system. The company has raised over $750 million from top investors and employs a team of 450 engineers and entrepreneurs.</Employerdescription>
      <Employerwebsite>https://astranis.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/astranis/jobs/4655862006?utm_source=yubhub.co&amp;utm_medium=jobs_feed&amp;utm_campaign=apply</Applyto>
      <Location>San Francisco</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
    <job>
      <externalid>268cbad1-3f7</externalid>
      <Title>Engagement Manager</Title>
      <Description><![CDATA[<p>As an Engagement Manager at Stripe, you will drive Stripe&#39;s future growth engine by leading enterprise-level, strategic users through our integration, implementation and adoption stages that will lead them to become long-term Stripe users and advocates of our products and solutions.</p>
<p>Stripe Professional Services provides a rapid path to success and ongoing value for our users. Our Engagement Managers utilize Stripe&#39;s proven Implementation Methodology coupled with their project leadership expertise, to guide and enable users and partners to successfully integrate Stripe&#39;s solutions rapidly while delivering immediate impact and measurable value.</p>
<p>Responsibilities:</p>
<ul>
<li>Own all facets of the relationship with the User - Our Engagement Managers provide overall vision and direction throughout the program/project lifecycle for Stripe&#39;s most complex user engagements. They are the single point of contact for the Stripe internal organization and for the user program/project management counterparts as it relates to the in-flight implementation to help lead and drive collaboration, knowledge sharing, issue resolution and decision-making.</li>
</ul>
<ul>
<li>Accelerate time to value - Rigorous program/project management and quality assurance practices lead to implementation efficiencies that generate cost savings and speed of business outcomes. Engagement Managers are seasoned leaders who build high-performing project teams, accelerate time to value, and drive rapid and effective program decision-making by proactively managing the integration of Stripe&#39;s products into the user&#39;s application/technical architecture, test and change management strategies and transformation timelines.</li>
</ul>
<ul>
<li>Deliver Program / Project Management expertise &amp; innovation - Engagement Managers deliver program/project management expertise based on experience, continuous learning, and in-depth knowledge of Stripe&#39;s products and implementation best practices. They drive innovation and adoption of deployment practices, provide product adoption insights and help users achieve the maximum value from their Stripe investment. In addition to this, they play a pivotal role in the continuous improvement and enablement of the Stripe Implementation Methodology and it&#39;s associated tools, templates and processes</li>
</ul>
<ul>
<li>Manage scope, time, cost and quality - The Engagement Manager provides well-established program/project governance to manage requirements in line with the agreed scope and business objectives. This is made possible through effective balance of time, cost, and quality via proactive program planning focused on business outcomes.</li>
</ul>
<ul>
<li>Mitigate and Manage risk - Engagement Managers are responsible for providing proactive risk assessment, prevention and mitigation plans and the efficient identification, tracking, and resolution of issues and decisions using established tools and templates with internal and user stakeholders. Engagement Managers are the primary interface between the user and Stripe&#39;s Product and Engineering teams to drive implementation alignment to the forward roadmap and future capabilities.</li>
</ul>
<ul>
<li>Provide Program / Project Governance - Leading into and throughout the Implementation Program and associated projects, the Engagement Manager will work in concert with the User&#39;s assigned Program / Project Manager to instantiate and execute on the agreed Program / Project Governance model and related Stakeholder Management and Communications plan</li>
</ul>
<ul>
<li>Close out the project - Upon project completion, Engagement Managers ensure a smooth transition of the implemented Stripe capabilities into operation for the user. This includes complete knowledge transfer and the handover to Stripe Support</li>
</ul>
<ul>
<li>Engage as part of a thriving internal Engagement Management Community - Our Engagement Managers actively participate in a global community of practitioners to continually evolve and improve the way in which Stripe leads and supports our Users through high impact and complex implementations of Stripe&#39;s payment infrastructure</li>
</ul>
<p>We&#39;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply.</p>
<p>Minimum requirements:</p>
<ul>
<li>7+ years of experience working with enterprise level strategic users on complex technology or business transformation programmes with a track record of top performance or a related field</li>
</ul>
<ul>
<li>Ability to understand complex business requirements and craft tailored solutions</li>
</ul>
<ul>
<li>Ability to quickly learn and explain technical concepts to Stripe&#39;s largest Users in a way which they will understand. Some may be deeply technical. Others may be more business focussed, so you&#39;ll need to talk to Users in a language they can understand</li>
</ul>
<ul>
<li>Proven program management skills and experience</li>
</ul>
<ul>
<li>Strong critical thinking skills, including the ability to identify suboptimal processes and drive more efficient ways of working</li>
</ul>
<ul>
<li>Ability to recognize repeated user-facing issues and build scalable solutions</li>
</ul>
<ul>
<li>Superior verbal and written communication skills</li>
</ul>
<ul>
<li>Ability to operate independently in a highly ambiguous and fast-paced environment</li>
</ul>
<ul>
<li>Demonstrated ability to engage with and lead executive stakeholders and key decision makers on the User side to drive towards an agreed outcome</li>
</ul>
<ul>
<li>Experience in working with or in complex Enterprise organizational and decision making structures</li>
</ul>
<ul>
<li>An ability to work collaboratively with and influence Stripe&#39;s Product and Engineering teams to advocate for our Users and continuously shape the forward roadmap of Stripe&#39;s applications</li>
</ul>
<ul>
<li>Apply structured problem-solving and stakeholder management frameworks , drawing on experience from complex, multi-workstream client engagements to drive programme clarity, alignment and outcomes</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>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>program management, project leadership, complex technology, business transformation, risk assessment, mitigation, issue resolution, decision-making, stakeholder management, communications, knowledge sharing, collaboration, influence, problem-solving, structured problem-solving, critical thinking, scrummaster, pmp, prince2, api integration, payments industry</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Stripe</Employername>
      <Employerlogo>https://logos.yubhub.co/stripe.com.png</Employerlogo>
      <Employerdescription>Stripe is a financial infrastructure platform for businesses, used by millions of companies worldwide.</Employerdescription>
      <Employerwebsite>https://stripe.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/stripe/jobs/7775314?utm_source=yubhub.co&amp;utm_medium=jobs_feed&amp;utm_campaign=apply</Applyto>
      <Location>Dublin, Ireland</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>2907e75d-d4e</externalid>
      <Title>Research Engineer, Frontier Safety Risk Assessment</Title>
      <Description><![CDATA[<p>Job Title: Research Engineer, Frontier Safety Risk Assessment</p>
<p>We are seeking 2 Research Engineers for the Frontier Safety Risk Assessment team within the AGI Safety and Alignment Team.</p>
<p>As a Research Engineer, you will contribute novel research towards our ability to measure and assess risk from frontier models. This might include:</p>
<ul>
<li>Identifying new risk pathways within current areas (loss of control, ML R&amp;D, cyber, CBRN, harmful manipulation) or in new ones;</li>
<li>Conceiving of, designing, and developing new ways to measure pre-mitigation and post-mitigation risk;</li>
<li>Forecasting and scenario planning for future risks which are not yet material.</li>
</ul>
<p>Your work will involve complex conceptual thinking as well as engineering. You should be comfortable with research that is uncertain, under-constrained, and which does not have an achievable “right answer”. You should also be skilled at engineering, especially using Python, and able to rapidly familiarise yourself with internal and external codebases. Lastly, you should be able to adapt to pragmatic constraints around compute and researcher time that require us to prioritise effort based on the value of information.</p>
<p>Although this job description is written for a Research Engineer, all members of this team are better thought of as members of technical staff. We expect everyone to contribute to the research as well as the engineering and to be strong in both areas.</p>
<p>The role will mostly depend on your general ability to assess and manage future risks, rather than from specialist knowledge within the risk domains, but insofar as specialist knowledge is helpful, knowledge in ML R&amp;D and loss of control as risk domains are likely the most valuable.</p>
<p>About You</p>
<p>In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:</p>
<ul>
<li>You have extensive research experience with deep learning and/or foundation models (for example, but not necessarily, a PhD in machine learning).</li>
<li>You are adept at generating ideas and designing experiments, and implementing these in Python with real AI systems.</li>
<li>You are keen to address risks from foundation models, and have thought about how to do so. You plan for your research to impact production systems on a timescale between “immediately” and “a few years”.</li>
<li>You are excited to work with strong contributors to make progress towards a shared ambitious goal.</li>
<li>With strong, clear communication skills, you are confident engaging technical stakeholders to share research insights tailored to their background.</li>
</ul>
<p>In addition, any of the following would be an advantage:</p>
<ul>
<li>Experience in areas such as frontier risk assessment and/or mitigations, safety, and alignment.</li>
<li>Engineering experience with LLM training and inference.</li>
<li>PhD in Computer Science or Machine Learning related field.</li>
<li>A track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI and UAI.</li>
<li>Experience with collaborating or leading an applied research project.</li>
</ul>
<p>At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</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: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.</p>
<p>We are also open to relocating candidates and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).</p>
<p>The US base salary range for this full-time position is between $136,000 - $245,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.</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>staff</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$136,000 - $245,000 + bonus + equity + benefits</Salaryrange>
      <Skills>Python, Deep learning, Foundation models, Risk assessment, Mitigation, Forecasting, Scenario planning, LLM training and inference, PhD in Computer Science or Machine Learning related field, Track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI and UAI, Experience with collaborating or leading an applied research project</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 subsidiary of Alphabet Inc., a multinational conglomerate headquartered in Mountain View, California.</Employerdescription>
      <Employerwebsite>https://deepmind.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/deepmind/jobs/7493360?utm_source=yubhub.co&amp;utm_medium=jobs_feed&amp;utm_campaign=apply</Applyto>
      <Location>London, UK; New York City, New York, US; San Francisco, California, US</Location>
      <Country></Country>
      <Postedate>2026-03-16</Postedate>
    </job>
  </jobs>
</source>