<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>460d00aa-b48</externalid>
      <Title>Senior / Staff+ Software Engineer, Voice Platform</Title>
      <Description><![CDATA[<p>About the role</p>
<p>We&#39;re building the infrastructure that lets people talk to Claude,real-time, bidirectional voice conversations that feel natural, responsive, and safe. This is foundational work for how millions of people will interact with AI.</p>
<p>The Voice Platform team designs and operates the serving systems, streaming pipelines, and APIs that bring Anthropic&#39;s audio models from research into production across Claude.ai, our mobile apps, and the Anthropic API. You&#39;ll work at the intersection of real-time media, low-latency inference, and distributed systems,building infrastructure where every millisecond of latency is felt by the user.</p>
<p>We partner closely with the Audio research team, who train the speech understanding and generation models, and with product teams shipping voice experiences to users. Your job is to make those models fast, reliable, and delightful to talk to at scale.</p>
<p>Responsibilities</p>
<ul>
<li>Design and build the real-time streaming infrastructure that powers voice conversations with Claude,ingesting microphone audio, orchestrating model inference, and streaming synthesized speech back with minimal latency</li>
</ul>
<ul>
<li>Build low-latency serving systems for speech models, optimizing time-to-first-audio and end-to-end conversational responsiveness</li>
</ul>
<ul>
<li>Develop the public and internal APIs that expose voice capabilities to Claude.ai, mobile clients, and third-party developers</li>
</ul>
<ul>
<li>Own the audio transport layer,codecs, jitter buffers, adaptive bitrate, packet loss recovery,so conversations stay smooth across unreliable networks</li>
</ul>
<ul>
<li>Build observability and quality-measurement systems for voice: latency distributions, audio quality metrics, interruption handling, and turn-taking accuracy</li>
</ul>
<ul>
<li>Partner with Audio research to move new model architectures from experiment to production, and feed real-world performance data back into research</li>
</ul>
<ul>
<li>Collaborate with mobile and product engineering on client-side audio capture, playback, and the end-to-end user experience</li>
</ul>
<p>You may be a good fit if you</p>
<ul>
<li>Have 6+ years of experience building distributed systems, real-time infrastructure, or platform services at scale</li>
</ul>
<ul>
<li>Have shipped production systems where latency is measured in tens of milliseconds and users notice when you miss</li>
</ul>
<ul>
<li>Are comfortable working across the stack,from transport protocols and serving infrastructure up to the APIs product teams build on</li>
</ul>
<ul>
<li>Are results-oriented, with a bias toward flexibility and impact</li>
</ul>
<ul>
<li>Pick up slack, even if it goes outside your job description</li>
</ul>
<ul>
<li>Enjoy pair programming (we love to pair!)</li>
</ul>
<ul>
<li>Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly</li>
</ul>
<ul>
<li>Are comfortable with ambiguity,voice is a fast-moving space, and you&#39;ll help define the architecture as we learn what works</li>
</ul>
<p>Strong candidates may also have experience with</p>
<ul>
<li>Real-time media protocols and stacks: WebRTC, RTP, gRPC bidirectional streaming, or WebSockets at scale</li>
</ul>
<ul>
<li>Audio engineering fundamentals: codecs (Opus, AAC), voice activity detection, echo cancellation, jitter buffering, or audio DSP</li>
</ul>
<ul>
<li>Low-latency ML inference serving, streaming model outputs, or GPU-based serving infrastructure</li>
</ul>
<ul>
<li>Telephony, live streaming, video conferencing, or voice assistant platforms</li>
</ul>
<ul>
<li>Mobile audio pipelines on iOS (AVAudioEngine, AudioUnits) or Android (Oboe, AAudio)</li>
</ul>
<ul>
<li>Working alongside ML researchers to productionize models,speech experience is a plus but not required</li>
</ul>
<p>Representative projects</p>
<ul>
<li>Driving time-to-first-audio below human perceptual thresholds by co-designing the serving pipeline with the Audio research team</li>
</ul>
<ul>
<li>Building a streaming inference orchestrator that interleaves speech recognition, LLM reasoning, and speech synthesis with overlapping execution</li>
</ul>
<ul>
<li>Designing the voice mode API surface for the Anthropic API so developers can build their own voice agents on Claude</li>
</ul>
<ul>
<li>Implementing graceful barge-in and interruption handling so users can cut Claude off mid-sentence naturally</li>
</ul>
<ul>
<li>Instrumenting end-to-end audio quality metrics and building dashboards that catch regressions before users do</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>hybrid</Workarrangement>
      <Salaryrange>$320,000-$485,000 USD</Salaryrange>
      <Skills>Real-time media protocols and stacks, Audio engineering fundamentals, Low-latency ML inference serving, Distributed systems, Streaming pipelines, APIs, WebRTC, RTP, gRPC bidirectional streaming, WebSockets, Opus, AAC, Voice activity detection, Echo cancellation, Jitter buffering, Audio DSP, GPU-based serving infrastructure, Telephony, Live streaming, Video conferencing, Voice assistant platforms, Mobile audio pipelines on iOS, Android, Working alongside ML researchers</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a technology company 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/5172245008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Seattle, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>ce9f3d34-c8a</externalid>
      <Title>Senior / Staff+ Software Engineer, Voice Platform</Title>
      <Description><![CDATA[<p>We&#39;re building the infrastructure that lets people talk to Claude,real-time, bidirectional voice conversations that feel natural, responsive, and safe. This is foundational work for how millions of people will interact with AI.</p>
<p>The Voice Platform team designs and operates the serving systems, streaming pipelines, and APIs that bring Anthropic&#39;s audio models from research into production across Claude.ai, our mobile apps, and the Anthropic API. You&#39;ll work at the intersection of real-time media, low-latency inference, and distributed systems,building infrastructure where every millisecond of latency is felt by the user.</p>
<p>We partner closely with the Audio research team, who train the speech understanding and generation models, and with product teams shipping voice experiences to users. Your job is to make those models fast, reliable, and delightful to talk to at scale.</p>
<p>Responsibilities:</p>
<ul>
<li>Design and build the real-time streaming infrastructure that powers voice conversations with Claude,ingesting microphone audio, orchestrating model inference, and streaming synthesized speech back with minimal latency</li>
</ul>
<ul>
<li>Build low-latency serving systems for speech models, optimizing time-to-first-audio and end-to-end conversational responsiveness</li>
</ul>
<ul>
<li>Develop the public and internal APIs that expose voice capabilities to Claude.ai, mobile clients, and third-party developers</li>
</ul>
<ul>
<li>Own the audio transport layer,codecs, jitter buffers, adaptive bitrate, packet loss recovery,so conversations stay smooth across unreliable networks</li>
</ul>
<ul>
<li>Build observability and quality-measurement systems for voice: latency distributions, audio quality metrics, interruption handling, and turn-taking accuracy</li>
</ul>
<ul>
<li>Partner with Audio research to move new model architectures from experiment to production, and feed real-world performance data back into research</li>
</ul>
<ul>
<li>Collaborate with mobile and product engineering on client-side audio capture, playback, and the end-to-end user experience</li>
</ul>
<p>You may be a good fit if you</p>
<ul>
<li>Have 6+ years of experience building distributed systems, real-time infrastructure, or platform services at scale</li>
</ul>
<ul>
<li>Have shipped production systems where latency is measured in tens of milliseconds and users notice when you miss</li>
</ul>
<ul>
<li>Are comfortable working across the stack,from transport protocols and serving infrastructure up to the APIs product teams build on</li>
</ul>
<ul>
<li>Are results-oriented, with a bias toward flexibility and impact</li>
</ul>
<ul>
<li>Pick up slack, even if it goes outside your job description</li>
</ul>
<ul>
<li>Enjoy pair programming (we love to pair!)</li>
</ul>
<ul>
<li>Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly</li>
</ul>
<ul>
<li>Are comfortable with ambiguity,voice is a fast-moving space, and you&#39;ll help define the architecture as we learn what works</li>
</ul>
<p>Strong candidates may also have experience with</p>
<ul>
<li>Real-time media protocols and stacks: WebRTC, RTP, gRPC bidirectional streaming, or WebSockets at scale</li>
</ul>
<ul>
<li>Audio engineering fundamentals: codecs (Opus, AAC), voice activity detection, echo cancellation, jitter buffering, or audio DSP</li>
</ul>
<ul>
<li>Low-latency ML inference serving, streaming model outputs, or GPU-based serving infrastructure</li>
</ul>
<ul>
<li>Telephony, live streaming, video conferencing, or voice assistant platforms</li>
</ul>
<ul>
<li>Mobile audio pipelines on iOS (AVAudioEngine, AudioUnits) or Android (Oboe, AAudio)</li>
</ul>
<ul>
<li>Working alongside ML researchers to productionize models,speech experience is a plus but not required</li>
</ul>
<p>Representative projects</p>
<ul>
<li>Driving time-to-first-audio below human perceptual thresholds by co-designing the serving pipeline with the Audio research team</li>
</ul>
<ul>
<li>Building a streaming inference orchestrator that interleaves speech recognition, LLM reasoning, and speech synthesis with overlapping execution</li>
</ul>
<ul>
<li>Designing the voice mode API surface for the Anthropic API so developers can build their own voice agents on Claude</li>
</ul>
<ul>
<li>Implementing graceful barge-in and interruption handling so users can cut Claude off mid-sentence naturally</li>
</ul>
<ul>
<li>Instrumenting end-to-end audio quality metrics and building dashboards that catch regressions before users do</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>hybrid</Workarrangement>
      <Salaryrange>$320,000-$485,000 USD</Salaryrange>
      <Skills>Real-time media protocols and stacks, Audio engineering fundamentals, Low-latency ML inference serving, Distributed systems, API design, WebRTC, RTP, gRPC bidirectional streaming, WebSockets, Opus, AAC, voice activity detection, echo cancellation, jitter buffering, audio DSP, GPU-based serving infrastructure, telephony, live streaming, video conferencing, voice assistant platforms, mobile audio pipelines on iOS, Android, pair programming</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a technology company that aims to create 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/5172245008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Seattle, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>beda8a58-d75</externalid>
      <Title>Staff Technical Producer</Title>
      <Description><![CDATA[<p>We&#39;re looking for a Staff Technical Producer to lead the execution and evolution of our internal live and hybrid production capabilities. This role is focused on delivering high-quality experiences for employee communications, executive broadcasts, training, and internal events.</p>
<p>You&#39;ll operate at the intersection of live production, broadcast engineering, and internal tooling, ensuring our teams can communicate effectively at scale. In addition to running critical productions, you&#39;ll define the workflows, and standards that power internal media across offices and remote environments globally.</p>
<p>This is a highly cross-functional role requiring strong technical depth, operational excellence, and the ability to support a wide range of internal stakeholders.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Lead Internal Productions</li>
<li>Own technical production for internal events including all-hands, executive communications, trainings, and internal broadcasts</li>
<li>Serve as Technical Director or Lead Producer for high-visibility internal moments</li>
<li>Ensure seamless delivery across in-room, livestream, and video conferencing audiences</li>
<li>Build &amp; Scale Internal Production Systems</li>
<li>Design and standardize workflows across internal event spaces, studios, and remote setups</li>
<li>Define and maintain a production playbook to ensure consistency across internal events</li>
<li>Improve and scale internal production infrastructure to support global teams</li>
<li>Operate at a Deep Technical Level</li>
<li>Lead multi-destination signal workflows (In room, live stream, recording, conferencing platforms)</li>
<li>Integrate AV systems with internal tools (e.g., video conferencing platforms, collaboration tools)</li>
<li>Troubleshoot live production issues quickly with minimal disruption to internal audiences</li>
<li>Partner Across the Company</li>
<li>Work directly with internal stakeholders (Execs, Comms, HR, Enablement, Events) to define production needs</li>
<li>Translate business requirements into clear, executable production plans</li>
<li>Coordinate internal teams and external vendors when needed</li>
<li>Elevate Internal Experience Quality</li>
<li>Continuously improve the quality, reliability, and scalability of internal productions</li>
<li>Create training materials and documentation to enable self-service and team growth</li>
<li>Mentor team members and elevate production capabilities across offices</li>
</ul>
<p><strong>What We&#39;re Looking For</strong></p>
<ul>
<li>Core Requirements</li>
<li>8+ years in live production, broadcast, or media production roles</li>
<li>Strong expertise in:</li>
</ul>
<p>+ Audio/video signal flow     + Video switching / technical direction     + Live streaming and remote production tools (e.g., VMix or similar)     + Experience supporting distributed or multi-location production environments</p>
<ul>
<li>Strong communication skills, especially when working with non-technical stakeholders</li>
<li>Experience operating in fast-paced, high-growth environments</li>
<li>BA/BS or equivalent practical experience</li>
<li>Staff-Level Signals</li>
<li>You&#39;ve supported executive-facing or high-visibility internal communications</li>
<li>You design systems and workflows that scale across teams and locations</li>
<li>You operate with high ownership and autonomy in ambiguous environments</li>
<li>You proactively identify risks and ensure reliability for critical internal moments</li>
<li>You influence stakeholders across functions without direct authority</li>
<li>Nice to Have</li>
<li>Experience supporting internal communications, corporate events, or enablement programs</li>
<li>Familiarity with enterprise video conferencing and collaboration tools</li>
<li>Experience with IP-based video (NDI, SRT, 2110) or cloud-based production workflows</li>
<li>Background in motion graphics or internal content production</li>
</ul>
<p><strong>Why This Role Matters</strong></p>
<p>Internal communication is critical to how Databricks operates and scales. In this role, you&#39;ll ensure that employees,from executives to new hires,can connect, learn, and align through high-quality live experiences.</p>
<p>You won&#39;t just run internal events,you&#39;ll build the systems that make internal communication seamless, reliable, and scalable across the company.</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>hybrid</Workarrangement>
      <Salaryrange>$177,700-$244,300 USD</Salaryrange>
      <Skills>Audio/video signal flow, Video switching / technical direction, Live streaming and remote production tools, Experience supporting distributed or multi-location production environments, Strong communication skills, Experience supporting internal communications, corporate events, or enablement programs, Familiarity with enterprise video conferencing and collaboration tools, Experience with IP-based video (NDI, SRT, 2110) or cloud-based production workflows, Background in motion graphics or internal content production</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Databricks</Employername>
      <Employerlogo>https://logos.yubhub.co/databricks.com.png</Employerlogo>
      <Employerdescription>Databricks is a data and AI company that provides a unified platform for data, analytics, and AI. It was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8472697002</Applyto>
      <Location>United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>b1440e0a-37e</externalid>
      <Title>Livestream Hosts/Live Streamer, Live Commerce (Multiple) (Temporary Part-time)</Title>
      <Description><![CDATA[<p>We&#39;re looking for enthusiastic individuals to join our fast-paced live commerce team as Temporary Part-Time Livestream Hosts. All hosts must be able to be onsite in our Long Island City office. Breaking cards is a huge part of the role, and we&#39;re excited to bring people on board who are eager to dive into the action.</p>
<p>As a host, you&#39;ll be at the center of VeeFriends live broadcasts, engaging with our audience, providing entertainment, driving sales, and learning how to master multiple live streaming platforms like Whatnot, TikTok Live, eBay Live, and Fanatics Live. You&#39;ll also need to be adaptable and learn new software as we expand our live-streaming initiatives.</p>
<p>Responsibilities:</p>
<ul>
<li>Set up products, check video/audio, and ensure everything is ready for a seamless broadcast.</li>
<li>&quot;Break&quot; collectible cards and mystery items on screen for a high-anticipation audience.</li>
<li>Bring intense energy and charisma to the audience while presenting and explaining collectibles.</li>
<li>Interact with viewers in real time while simultaneously presenting and promoting VeeFriends products and educating the audience about VeeFriend&#39;s wider mission, core values, characters, and more.</li>
</ul>
<p>Qualifications:</p>
<ul>
<li>You&#39;re enthusiastic about both the VeeFriends brand and LiveCommerce as a channel opportunity.</li>
<li>You thrive in fast-paced environments and can quickly learn new tools and technologies.</li>
<li>A proven passion and expertise in collectibles - including Comics, TCGs, Apparel, Sports Memorabilia, &amp; Cards.</li>
<li>Passionate and curious about attracting and developing audience &amp; viewership growth and engagement.</li>
<li>Entertainment and community engagement are instrumental for sustainable revenue growth.</li>
</ul>
<p>Additional Information:</p>
<p>Kind Reminder: Only full-time and part-time permanent employees are eligible to enroll in VeeFriends benefit plans. We encourage you to apply even if you do not meet all of the requirements listed above.</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>part-time</Jobtype>
      <Experiencelevel></Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>USD 30-45 per hour</Salaryrange>
      <Skills>live streaming, collectibles, cards, TCGs, Apparel, Sports Memorabilia, entertainment, community engagement, Whatnot, TikTok Live, eBay Live, Fanatics Live, adaptable, quick learner</Skills>
      <Category>Other</Category>
      <Industry>Entertainment</Industry>
      <Employername>VeeFriends</Employername>
      <Employerlogo>https://logos.yubhub.co/veefriends.com.png</Employerlogo>
      <Employerdescription>VeeFriends is an entertainment company that creates a universe of 251 characters, combining storytelling, content, collectibles, and community-driven experiences.</Employerdescription>
      <Employerwebsite>https://veefriends.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/VeeFriends/b7018787-7932-4ada-8341-0577e9952093</Applyto>
      <Location>New York</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>