---
title: 'Project Manager - Higgs Audio at Boson AI'
canonical: 'https://feeny.ai/job/project-manager-higgs-audio-boson-ai-santa-clara-mgx1ebzy6sc3'
type: 'job'
last_seen: '2026-10-30'
---

# Project Manager - Higgs Audio at Boson AI

- **Company:** Boson AI
- **Location:** Santa Clara, CA
- **Compensation:** $160k–$260k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-10-30
- **Apply:** https://jobs.lever.co/bosonai/8e77b7df-1714-4d90-af53-00ac4996b1d2

## Job description

## About The Role

Boson AI builds real-time speech and multimodal AI that makes talking to AI feel like talking to people. Higgs Audio is our family of foundation audio and avatar models. They generate natural speech, recognize speech in many languages, clone a voice from a short sample, detect sentiment, and give a voice a face. Higgs TTS 3, an expressive, open-weight text-to-speech model with zero-shot voice cloning, also powers Higgs VoiceOver, which brings directable AI voice-over into video editors. Customers use Higgs Audio through our API, through hosting partners such as Microsoft Foundry and Deep Infra, and as open weights. Thousands of developers already build on our open models on GitHub and Hugging Face.

We are hiring a Project Manager to run Higgs Audio from research to release. You will plan and ship its releases, hold every release to a clear quality bar, decide which issues get fixed first, keep the schedule on track, and bring what customers tell us back to the team. You will work with the researchers who train the models, the engineers who serve them, and the customers who use them.

This is a hands-on role. You don't need to train models, but you need to be technical enough to reproduce a bug against our API, read an evaluation report, listen critically to generated speech, and tell a real regression from noise. You will start as a senior individual contributor with real ownership of the Higgs Audio releases and roadmap.

The role is based at either our Santa Clara HQ or our Toronto office, on a hybrid schedule with at least three days a week in the office. Expect occasional travel between the two offices and to customers. The ability to speak multiple languages is a plus.

## What You'll Do

- Own Higgs Audio releases from plan to launch. Set the release schedule, run go/no-go reviews, and make sure each release ships with documentation, release notes, an updated model card and a changelog entry
- Coordinate every channel a release goes out on: our API and Boson Workspace, open weights on Hugging Face, our GitHub repositories, hosting partners such as Microsoft Foundry and Deep Infra. Keep them in step, so that no channel falls a version behind without a reason
- Run quality control. Work with research and engineering to define the bar a release must clear: error rates across 100+ languages, voice-cloning similarity, expressiveness benchmarks such as our [EmergentTTS-Eval](https://arxiv.org/abs/2505.23009), listening tests, latency and cost. Hold every release to it, and catch regressions before customers do
- Own the issue queue. Triage bug reports and feature requests from GitHub, customer support, partners and our own teams, set severity and priority, get each one to an owner, and close the loop with whoever reported it
- Keep the schedule. Break goals into milestones, track the dependencies between research, engineering and go-to-market, raise risks early, and make tradeoffs explicit when something has to give
- Bring the customer into the room. Talk to developers, enterprise customers, partners and creators, run beta programs, read usage data and support tickets, and turn what you learn into clear requirements and priorities for the team
- Make sure model changes land smoothly in the products built on them, such as Higgs VoiceOver, which runs on Higgs TTS 3
- Own versioning and deprecation: version names, migration guides, and deprecation notices that give customers time to move before a breaking change
- Report what is working. Track metrics such as release cadence, regressions that reached customers, time to resolve critical issues, adoption and customer satisfaction, and send a regular status update that leadership can read in five minutes

What Success Looks Like in Your First Six Months

- Higgs Audio ships on a predictable, published release schedule, and every release clears a documented quality bar before it goes out
- Every open issue, from our public repos and from customers, has an owner and a priority, and critical bugs are fixed within an agreed time
- Customers can follow every model and API change in a public changelog, with notice ahead of any breaking change
- A regular customer report drives the Higgs Audio roadmap, and its top requests are scheduled or shipped

## Minimum Qualifications

- 5+ years of project, program or product management on software products, including at least 2 years on technical products such as APIs, developer platforms or ML models
- A track record of shipping on schedule: you have run release processes and launch checklists, made go/no-go calls, and can point to releases you were responsible for
- Technical fluency: comfortable with Python, REST and streaming APIs, GitHub and issue trackers, and able to reproduce a bug, read logs, and analyze evaluation results in SQL, a spreadsheet or a notebook
- Experience turning customer conversations and usage data into prioritized requirements, and the judgment to say no
- Clear, concise writing in specs, release notes and status updates
- Ability to use agentic AI efficiently in your work, so you can deliver at superhuman level
- Able to work from our Santa Clara HQ or our Toronto office on a hybrid schedule

## Preferred Qualifications

- Experience with speech or audio products, such as TTS, ASR, voice cloning, voice agents, or audio for media production
- Experience releasing ML models: evaluation suites, human preference studies, model cards, and open-weight releases on Hugging Face
- Experience managing the issues, pull requests and releases of an open-source project on GitHub
- Experience with enterprise customers or cloud partners such as Microsoft Foundry, AWS Bedrock or Google Vertex AI
- A good ear: you notice when a voice sounds off, and you can say what is wrong
- An engineering background, or a degree in computer science, electrical engineering or a related field
- 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 want to own how our speech models reach the people who use them, we'd love to hear from you. Please tell us about releases or products you have shipped and the part you played in them.

This posting is for an existing vacancy. Boson AI uses artificial intelligence (AI) to help screen and assess applications for this position, and our team reviews the shortlisted candidates.

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

- [Project Manager - Higgs Audio (Toronto)](https://feeny.ai/job/project-manager-higgs-audio-toronto-boson-ai-toronto-b4rav3bzwd8v) — Toronto, Canada
- [Internship - MScAC 2027](https://feeny.ai/job/internship-mscac-2027-boson-ai-toronto-px5e22baba9v) — Toronto, Canada
- [Developer Relations Manager](https://feeny.ai/job/developer-relations-manager-boson-ai-santa-clara-qssv2x0z1qxn) — Santa Clara, CA
- [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