---
title: 'Developer Relations Manager at Boson AI'
canonical: 'https://feeny.ai/job/developer-relations-manager-boson-ai-santa-clara-qssv2x0z1qxn'
type: 'job'
last_seen: '2026-10-16'
---

# Developer Relations Manager at Boson AI

- **Company:** Boson AI
- **Location:** Santa Clara, CA
- **Compensation:** $180k–$280k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.lever.co/bosonai/2dbede2c-e0ad-4691-84ba-99e6755aebe8

## Job description

## About The Role

Boson AI builds real-time speech and multimodal AI that makes talking to AI feel like talking to people. Our Higgs models listen, speak, and see. Higgs Realtime is a speech-to-speech API with tool calling and support for 100+ languages, and it is drop-in compatible with the OpenAI Realtime API. Higgs TTS 3 is an expressive, open-weight text-to-speech model with zero-shot voice cloning. Higgs Avatar turns a single image into a streaming, talking video. Thousands of developers already build on our open models on GitHub and Hugging Face.

We are hiring our first Developer Relations Manager to own the developer journey, from first hearing about Higgs to shipping a production voice agent on it. This is a hands-on role. You will build with our models, explain them clearly, find where developers get stuck, and work with research and engineering to fix it.

You should be as comfortable writing Python against a streaming WebSocket API as you are writing a tutorial, triaging a GitHub issue, or demoing a voice agent live on stage. You will start as a senior individual contributor with real ownership, and you'll have room to build a team as the program grows.

The role is based at our Santa Clara HQ on a hybrid schedule, with at least three days a week in the office. Expect up to 20% travel for conferences, hackathons, and partner events.

## What You'll Do

- Make the first hour great. Own the quickstarts, notebooks, sample apps, and API walkthroughs that take a developer from an API key to first audio in minutes, and then on to a production-quality application
- Build reference applications that show what Higgs makes possible: real-time voice and avatar agents, STT + LLM + TTS pipelines, multilingual and expressive speech, streaming low-latency apps, and drop-in migrations from the OpenAI Realtime API
- Own our ecosystem integrations, including Pipecat, LiveKit, Twilio and SIP telephony, and SGLang and vLLM. Take each one from first prototype to maintained, documented, and announced
- Be our technical voice in public. Write blog posts, record demo videos and livestreams, give talks, and run workshops and hackathons
- Show up where developers are, on GitHub, Hugging Face, X, Reddit, and LinkedIn. Answer questions, triage issues on our open-source repos, and build a community around Boson AI, including a home for it
- Help developers make good tradeoffs: quality vs. latency vs. cost, open weights vs. hosted API, self-hosting vs. managed, and how to handle streaming, tool calling, turn-taking, and multilingual behavior
- Be the voice of developers inside Boson. Turn recurring friction into prioritized, tracked fixes with product, research, and engineering. That friction includes unclear docs, missing SDKs, API rough edges, deployment blockers, pricing questions, and model limitations
- Make every launch land. Own the developer side of model and API releases: launch-day docs, samples, release notes, demos, and community follow-through
- Define and report the metrics that show what is working, such as time to first audio, activation, integration adoption, and community growth

What Success Looks Like in Your First Six Months

- A developer who is new to Boson can go from signup to a working real-time voice agent in under 15 minutes, and you have the data to show it
- A gallery of maintained reference apps and integration recipes covers the most common voice-agent stacks
- There is a steady publishing cadence and an active community channel where developers get fast, accurate answers
- A regular developer-feedback report drives product and engineering priorities, and its top friction points are fixed

## Minimum Qualifications

- 5+ years in developer relations, developer advocacy, solutions engineering, or software engineering, with a public track record of technical content, open-source work, or talks
- Strong Python, plus working comfort with JavaScript or TypeScript, REST and WebSocket APIs, and async and streaming code
- Hands-on experience building and shipping applications on AI APIs or models, such as LLM, speech, or vision
- Clear, engaging technical writing and speaking, with examples you can share
- The judgment to prioritize across content, community, and product feedback, and to work independently in a fast-moving startup
- Ability to use agentic AI efficiently in your work, so you can deliver at superhuman level.

## Preferred Qualifications

- Experience with real-time voice or audio: WebRTC, telephony, audio codecs, voice activity and turn detection, or voice-agent frameworks like Pipecat or LiveKit Agents
- Familiarity with speech models (TTS and ASR), voice cloning, or speech-quality evaluation
- Experience self-hosting models on GPUs with SGLang, vLLM, or similar serving stacks
- Experience maintaining open-source projects, including issue triage and community management
- Experience launching developer products, running hackathons, or building developer programs such as credits, ambassadors, or office hours
- An existing presence in the AI developer community
- Fluency in a language besides English. Our models speak 100+ of them

Boson AI is building AI that people can simply talk to. If you love building with new models and helping other developers do the same, we'd love to hear from you. Please include links to things you have built, written, or presented, such as repos, demos, blog posts, or talks.

Boson AI is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other legally protected characteristic.

## About Boson AI

## Company Overview
- **One-liner**: Boson AI builds real-time, audio-native AI models and agentic systems for natural, conversational voice interactions with machines.
- **Entity Type**: Private (funding not disclosed)
- **Headquarters**: Santa Clara, California, United States (also Toronto, Canada office)
- **Founded**: 2023
- **Founders**: Dr. Alex Smola (Co-Founder & CEO/CSO), Dr. Mu Li (Co-Founder & CEO/CTO), Yi Zhu (Co-Founder, departed May 2026), Yizhi Liu (Co-Founder)

## Core Business
- **Primary industries**: Conversational AI, Voice AI, Multimodal AI, Enterprise AI infrastructure
- **Target customers**: B2B – enterprises deploying voice agents, real-time customer service, and AI-powered communication workflows
- **Mission**: “Make communication with machines as easy, natural and fun as talking to a human.”

## Products & Services
- **Higgs Realtime**: An end-to-end, audio-native real-time speech-to-speech model for enterprise voice agents. Supports interruptions, code-switching (100+ languages), ~700ms speech-in to speech-out latency, and API compatibility with OpenAI Realtime (change three lines of code). Pricing: $0.0023/min audio in, $0.014/min audio out. [LinkedIn post](https://linkedin.com/company/boson-ai)
- **Higgs Avatar v1**: Real-time conversational avatar foundation model that generates 480p video at 16 FPS from a single image and streaming audio. Designed for real-time digital presence in voice agents. Private preview announced May 2026. [LinkedIn post](https://linkedin.com/company/boson-ai)
- **Agent Platform (Agent OS)**: An internal platform for building, deploying, and orchestrating AI agents (referenced in job postings as “Member of Technical Staff - Agent Platform”).

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric**: Total funding not disclosed; headcount of 32 employees (as of mid-2026)
- **Notable Investors/Partners**: Not publicly listed. Talent sources include Amazon Web Services (AWS), Google, University of Toronto, Vector Institute, indicating strong ties to top AI research and engineering communities.
- **Growth Signals**: Launch of Higgs Realtime (August 2026) and Higgs Avatar v1 (May 2026); active hiring for senior engineering and ML roles; 10,000+ LinkedIn followers with +2.5% monthly growth; technical team comprises 68% of workforce.

## Competitive Advantages
- **Full-stack AI ownership**: Builds own foundation models (audio, avatar, agent orchestration) rather than stitching external components, enabling deep co-design for low latency and natural interaction.
- **Real-time expertise**: Achieves ~700ms speech-in to speech-out and ~125ms barge-in yield, with top benchmarks in tool-calling and interruption recovery.
- **Cost efficiency**: Higgs Realtime pricing ($0.0023/min audio in) is significantly lower than many competitors, targeting enterprise-scale deployment.
- **Research pedigree**: Founders have “almost a century of expertise in AI” (Alex Smola and Mu Li are well-known ML researchers; Smola co-authored seminal work on kernel methods and scalable ML).

## Strategic Focus
- **Real-time conversational AI for enterprise**: Prioritizing production-ready voice agents that can handle interruptions, code-switching, and emotional alignment.
- **Multimodal expansion**: Adding visual presence (avatars) to voice agents to make interactions more natural and human-compatible.
- **Enterprise deployment**: Offering self-hosting options and private previews for large-scale customers.
- **Building the full agentic pipeline**: From data and modeling to training, tuning, and serving – all in-house.

## Why Work Here
- **Culture**: Described as “a diverse group of researchers, engineers, and industry specialists united by a passion for innovation.” Emphasis on building scalable AI that serves millions.
- **Work policy**: Most roles are on-site at Santa Clara HQ or Toronto office. A Site Reliability Engineer role was listed as remote (Toronto). Likely hybrid/on-site for core engineering.
- **Engineering environment**: Deep technical stack (PyTorch, TensorFlow, Kubernetes, NVIDIA, Supermicro, etc.). Opportunity to work on frontier AI models and real-time systems.
- **Growth stage**: Small team (~32 people) with strong research roots; employees have previously worked at AWS, Google, Robinhood, and alumni go to OpenAI, Anthropic, xAI – indicating high-caliber talent and career mobility.
- **Hiring process**: Uses AI tools to assist with resume review and analysis, but final decisions made by humans.

## Sources
1. [boson.ai/about](https://www.boson.ai/about)
2. [boson.ai/about/team](https://www.boson.ai/about/team)
3. [linkedin.com/company/boson-ai](https://linkedin.com/company/boson-ai)
4. [jobs.lever.co/bosonai](https://jobs.lever.co/bosonai)

## Other roles at Boson AI

- [Software Engineer - Platform & Application](https://feeny.ai/job/software-engineer-platform-application-boson-ai-santa-clara-zct1esjbfzcn) — Santa Clara, CA
- [Site Reliability Engineer](https://feeny.ai/job/site-reliability-engineer-boson-ai-toronto-69xyfzggnjaj) — Toronto, Canada
- [Senior Software Engineer - Systems](https://feeny.ai/job/senior-software-engineer-systems-boson-ai-santa-clara-94h0qsa26h84) — Santa Clara, CA
- [Frontend Engineer](https://feeny.ai/job/frontend-engineer-boson-ai-santa-clara-nbsv99agxh8b) — Santa Clara, CA
- [Machine Learning Engineer - Enterprise](https://feeny.ai/job/machine-learning-engineer-enterprise-boson-ai-toronto-cm87w800xvcq) — Toronto, Canada
- [Member of Technical Staff - Agent Platform (Agent OS)](https://feeny.ai/job/member-of-technical-staff-agent-platform-agent-os-boson-ai-santa-clara-95vzvadf5n6c) — Santa Clara, CA
- [Developer Relations Manager](https://feeny.ai/job/developer-relations-manager-gladia-paris-3gf6er4m7der) — Paris, France