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<source>
  <jobs>
    <job>
      <externalid>2f00084c-002</externalid>
      <Title>Technical Program Manager, Robotics Data</Title>
      <Description><![CDATA[<p>As a Technical Program Manager (TPM) for Robotics Data, you will drive initiatives that secure $XXM+ in new revenue across our most complex technical operations. You will work with multiple project leads across a vast portfolio of robotics data projects, ensuring technical milestones are met, dependencies are de-risked, and stakeholders are aligned. You should be prepared to wear many hats and be excited about intense, impactful work that leads to accelerated career progression.\n\nYour key responsibilities will include:\n\n<em> Driving multi-project outcomes: serving as the primary driver for a portfolio of robotics projects, tracking milestones, deliverables, and dependencies to ensure on-time delivery for the world’s leading AI researchers.\n</em> Bridging the technical-operational gap: acting as the central liaison between AI clients, hardware engineers, and global operational teams to translate high-level goals into executable data collection workflows.\n<em> Architecting scalable pipelines: partnering with engineering to design and optimize end-to-end data ingestion pipelines, ensuring they can handle the high-fidelity sensor data (video, logs, teleop) required for Vision-Language-Action (VLA) models.\n</em> Enforcing data quality &amp; governance: defining KPIs and Quality Assurance (QA) metrics to ensure datasets are high-fidelity, labeled correctly, and compliant with rigorous privacy and safety standards.\n<em> Standardizing for scale: developing and refining Standard Operating Procedures (SOPs) that allow us to scale collection efforts across global, distributed teams.\n</em> Communicating with precision: providing regular, data-driven progress updates to Scale’s executive team, utilizing SQL and dashboards to monitor performance and guide strategic pivots.\n\nTo succeed in this role, you will need:\n\n<em> A strong technical foundation: a degree in Engineering, Computer Science, or a related field, combined with a deep understanding of AI/ML.\n</em> 2-3+ years of TPM experience: proven track record of managing complex, cross-functional technical programs, ideally in robotics, hardware, or large-scale data operations.\n<em> Hands-on problem-solving skills: a proactive approach to overcoming technical and logistical roadblocks in a fast-paced environment.\n</em> Operational grit: experience &quot;in the weeds&quot; of operational challenges - you don’t just identify bottlenecks; you build the solution to clear them.\n<em> Entrepreneurial mindset: you are comfortable with ambiguity and excited about building infrastructure from scratch in a fast-paced environment.\n\nNice to have:\n\n</em> SQL proficiency: ability to pull your own data and build your own tracking dashboards.\n<em> Global experience: experience interacting with distributed teams or collection sites across different time zones.\n</em> Robotics domain expertise: familiarity with robotic hardware, sensor calibration, or the nuances of collecting data for Physical AI.\n* AI/CV knowledge: familiarity with Computer Vision or Large Language Model (LLM) training requirements.</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>onsite</Workarrangement>
      <Salaryrange>$151,200-$189,000 USD</Salaryrange>
      <Skills>Technical Program Management, Robotics Data, AI/ML, Data Ingestion Pipelines, SQL, Dashboards, SQL Proficiency, Global Experience, Robotics Domain Expertise, AI/CV Knowledge</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Scale</Employername>
      <Employerlogo>https://logos.yubhub.co/scale.com.png</Employerlogo>
      <Employerdescription>Scale develops reliable AI systems for the world&apos;s most important decisions, providing high-quality data and full-stack technologies to power leading models.</Employerdescription>
      <Employerwebsite>https://scale.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/scaleai/jobs/4663997005</Applyto>
      <Location>San Francisco, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>7ffabac7-275</externalid>
      <Title>Director, Solutions &amp; Forward Deployed Engineering</Title>
      <Description><![CDATA[<p>We are seeking a Director, Solution &amp; Forward Deployed Engineering to lead the technical delivery of the Zus platform and help customers successfully connect their systems, data, and applications to Zus.</p>
<p>Reporting to the Head of Customer Success &amp; Delivery, this role will own how customers integrate with the Zus platform. They’ll be responsible for ensuring healthcare organisations and digital health builders can reliably ingest data, connect EHR systems, and deploy applications powered by Zus APIs.</p>
<p>This leader will oversee teams responsible for forward deployment engineering, and technical enablement, working closely with customer engineering teams to integrate Zus into production environments and connect to data networks.</p>
<p>You will guide customers through the complexity of healthcare interoperability, helping them translate real-world workflows into scalable integrations built on Zus.</p>
<p>This is a hands-on player-coach role. You will lead the team while also personally engaging in complex implementations, architecture discussions, and customer deployments.</p>
<p>You will champion the use of AI tools, automation frameworks, and reusable integration patterns to dramatically improve how quickly and reliably customers connect to the Zus platform.</p>
<p>The ideal candidate combines deep experience in healthcare interoperability, enterprise software implementations, API platforms, and AI-enabled engineering workflows with the leadership skills required to scale a delivery organisation.</p>
<p>Key responsibilities:</p>
<ul>
<li>Lead implementation and technical delivery - Own the technical delivery lifecycle following contract signature through production deployment and early adoption</li>
<li>Lead and grow a team of Solutions Engineers and Forward Deployed Engineers - Develop career paths, performance expectations, and development plans for the team to ensure excellent execution of goals</li>
<li>Ensure consistent, high-quality execution across multiple concurrent enterprise implementations</li>
<li>Establish best practices for onboarding, implementation, integration, and go-live readiness</li>
<li>Set customers up for success across multiple different high priority use cases</li>
<li>Ensure customers achieve rapid time-to-value from the Zus platform</li>
</ul>
<p>Act as player-coach for complex implementations - Personally engage on strategic or technically complex customer deployments</p>
<p>Guide integrations involving FHIR, HL7, CCD, APIs, SFTP pipelines, and EHR platforms</p>
<p>Troubleshoot complex interoperability and data pipeline issues</p>
<p>Work directly with engineering teams to deploy and operationalize Zus products</p>
<p>Serve as a trusted technical advisor to customer technical and operational stakeholders</p>
<p>Drive forward deployed engineering - Support customers in building production-grade applications and workflows on top of Zus APIs</p>
<p>Help customers operationalize clinical and operational data across care delivery workflows</p>
<p>Lead the development of reference architectures and deployment patterns</p>
<p>Identify integration opportunities that accelerate product adoption and expansion</p>
<p>Delivery training and technical enablement - Oversee technical onboarding and training programs for new customers</p>
<p>Enable customer engineering and product teams to effectively build on the Zus platform</p>
<p>Develop documentation, workshops, and enablement resources for technical users</p>
<p>Drive AI-enabled implementation and automation - Lead the adoption of AI tools and automation frameworks across the delivery organisation</p>
<p>Identify opportunities to automate manual implementation work using LLMs, scripting, and developer tooling</p>
<p>Develop reusable automation patterns for all parts of the Zus ecosystem</p>
<p>Help customers leverage Zus data to power AI-enabled workflows and analytics applications</p>
<p>Partner with Product and Engineering - Translate customer implementation patterns into platform improvement</p>
<p>Participate in technical discussions to find reusable integration patterns that can be embedded directly into the Zus platform</p>
<p>Communicate customer needs to the Product &amp; Engineering teams</p>
<p>You&#39;re a good fit because you have:</p>
<ul>
<li>10+ years of experience in technical implementation, solutions engineering, systems integration, or professional services leadership, preferably in healthtech, SaaS, or enterprise software</li>
<li>Proven experience leading customer-facing teams and scaling implementation or professional services functions</li>
<li>Deep expertise in healthcare data interoperability, including FHIR, HL7, CCD, and EHR integrations</li>
<li>Strong understanding of APIs, data ingestion pipelines (ETL, JSON, CSV), and modern data platforms (e.g., Snowflake)</li>
<li>Experience designing scalable implementation frameworks and reusable integration patterns</li>
<li>Familiarity with secure environments and compliance frameworks (HIPAA, SOC 2)</li>
<li>Executive presence and the ability to build trust with both technical and non-technical stakeholders</li>
<li>Strong strategic thinking paired with a willingness to dive into complex technical or delivery challenges when needed</li>
<li>A self-starter mindset and comfort operating in a fast-paced, evolving startup environment</li>
<li>Passion for improving healthcare through better access to and use of data</li>
<li>Willingness to travel up to ~25% for customer engagements, industry events, and company meetings</li>
<li>Bachelor’s degree in Business, Engineering, or a related field (advanced degree a plus)</li>
</ul>
<p>Additional Information:</p>
<p>We will offer you...</p>
<ul>
<li>Competitive compensation that reflects the value you bring to the team a combination of cash and equity</li>
<li>Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO</li>
<li>Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)</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>remote</Workarrangement>
      <Salaryrange>$150,000-200,000 per year</Salaryrange>
      <Skills>Healthcare data interoperability, Enterprise software implementations, API platforms, AI-enabled engineering workflows, Leadership skills, FHIR, HL7, CCD, EHR integrations, APIs, Data ingestion pipelines, Modern data platforms, Scalable implementation frameworks, Reusable integration patterns, Secure environments, Compliance frameworks, Executive presence, Strategic thinking, Self-starter mindset, Passion for improving healthcare</Skills>
      <Category>Engineering</Category>
      <Industry>Healthcare</Industry>
      <Employername>Zus</Employername>
      <Employerlogo>https://logos.yubhub.co/zus.com.png</Employerlogo>
      <Employerdescription>Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations.</Employerdescription>
      <Employerwebsite>https://zus.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/zushealth/de7b4911-901f-4548-9d68-9b77c0ccf6b6</Applyto>
      <Location>United States</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>