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Added 12 mins ago
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Boson AI

Project Manager - Higgs Audio (Toronto)

Toronto, ON, Canada

$140,000 - $230,000 a year · Full-time

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Job details

Pay: $140,000 - $230,000 a year
Job type: Full-time
Posting language: English
Posted: Oct 28, 2026

Original 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.

\nWhat 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, 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

$140,000 - $230,000 a year

Santa Clara HQ: USD 160,000–260,000 per year. Toronto: CAD 140,000–230,000 per year. Where an offer falls in the range depends on experience.

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 any characteristic protected by law.

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More about this job

Responsibilities

The Project Manager will own the end-to-end release lifecycle for Higgs Audio, from planning and scheduling to quality control and launch. They will coordinate across research, engineering, and customer-facing channels to ensure releases meet strict quality bars and address user feedback.

Requirements

Candidates must have at least 5 years of experience in project or product management for technical software products, including APIs or ML models. Strong technical fluency in Python, REST APIs, and data analysis is required, along with a proven track record of shipping releases on schedule.

Skills

Project management
Product management
Program management
Technical product management
API management
Machine learning
Python
REST APIs
Streaming APIs
GitHub
Issue tracking
Data analysis
SQL
Release management
Quality control
Cross-functional leadership

Visa sponsorship

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Keywords

Project Manager
Higgs Audio
Boson AI
Artificial Intelligence
Speech Models
Multimodal AI
Text-to-Speech
Voice Cloning
API
GitHub
Hugging Face
Release Management
Quality Assurance
Python
REST
Streaming APIs
Data Analysis
SQL
Software Development
Machine Learning
Product Roadmap
Technical Fluency
Cross-functional Collaboration
Customer Support
Developer Platforms
Cloud Partners
Microsoft Foundry
Deep Infra
Model Cards
Evaluation Benchmarks

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