Project Manager - Higgs Audio (Toronto)

Boson AI builds real-time speech and multimodal AI. Higgs Audio is its family of foundation audio and avatar models, which 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. Customers use Higgs Audio through the API, hosting partners such as Microsoft Foundry and Deep Infra, and open weights. The Project Manager will run Higgs Audio from research to release. This is a hands-on role; training models is not required, but technical fluency is. The role starts as a senior individual contributor with real ownership of the Higgs Audio releases and roadmap. The role is based at either the Santa Clara HQ or the Toronto office, on a hybrid schedule with at least three days a week in the office, with occasional travel between offices and to customers.

Responsibilities

Own Higgs Audio releases from plan to launch, setting the release schedule, running go/no-go reviews, and ensuring each release ships with documentation, release notes, an updated model card and a changelog entry; Coordinate every channel a release goes out on, including the API and Boson Workspace, open weights on Hugging Face, GitHub repositories, and hosting partners such as Microsoft Foundry and Deep Infra; Run quality control by defining with research and engineering the bar a release must clear (error rates across 100+ languages, voice-cloning similarity, expressiveness benchmarks such as EmergentTTS-Eval, listening tests, latency and cost) and catching regressions before customers do; Own the issue queue by triaging bug reports and feature requests, setting severity and priority, assigning owners, and closing the loop with reporters; Keep the schedule by breaking goals into milestones, tracking dependencies between research, engineering and go-to-market, raising risks early, and making tradeoffs explicit; Bring the customer into the room by talking to developers, enterprise customers, partners and creators, running beta programs, reading usage data and support tickets, and turning findings into requirements and priorities; Make sure model changes land smoothly in products built on them, such as Higgs VoiceOver; Own versioning and deprecation, including version names, migration guides, and deprecation notices; Report what is working by tracking release cadence, regressions that reached customers, time to resolve critical issues, adoption and customer satisfaction, and sending regular status updates

Requirements

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; Track record of shipping on schedule, including running release processes and launch checklists, making go/no-go calls, and pointing to releases they were responsible for; Technical fluency with Python, REST and streaming APIs, GitHub and issue trackers, 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, with the judgment to say no; Clear, concise writing in specs, release notes and status updates; Ability to use agentic AI efficiently in their work; Able to work from the Santa Clara HQ or Toronto office on a hybrid schedule

Nice to have

Experience with speech or audio products, such as TTS, ASR, voice cloning, voice agents, or audio for media production; Experience releasing ML models, including 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 for noticing when a voice sounds off and saying what is wrong; An engineering background, or a degree in computer science, electrical engineering or a related field; Fluency in a language besides English