Project Manager - Higgs Audio

Boson AI•Santa Clara, CA

2d•$160,000 - $260,000•Hybrid

About The Position

Boson AI is hiring a Project Manager to run Higgs Audio from research through release. The role owns release planning and execution, quality standards, issue prioritization, schedules, and customer feedback for the company’s foundation audio and avatar models. The work spans collaboration with researchers training models, engineers serving them, and customers using them. It is a hands-on senior individual-contributor position with ownership of Higgs Audio releases and roadmap; model training is not required, but technical fluency is necessary to reproduce API bugs, interpret evaluation reports, assess generated speech, and distinguish genuine regressions from noise. The position is based at either the Santa Clara headquarters or Toronto office, with a hybrid schedule requiring at least three office days per week. Occasional travel between the two offices and to customers is expected. The ability to speak multiple languages is a plus.

Requirements

At least 5 years of project, program, or product management experience on software products, including at least 2 years working on technical products such as APIs, developer platforms, or ML models.
Track record of shipping on schedule, running release processes and launch checklists, making go/no-go decisions, and owning releases.
Technical fluency with Python, REST and streaming APIs, GitHub, and issue trackers; ability to reproduce bugs, read logs, and analyze evaluation results using 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 skills for specifications, release notes, and status updates.
Ability to use agentic AI efficiently in work.
Ability to work a hybrid schedule from the Santa Clara HQ or Toronto office.

Nice To Haves

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 issues, pull requests, and releases for 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 identifying and describing problems in generated voices.
An engineering background or a degree in computer science, electrical engineering, or a related field.
Fluency in a language besides English.

Responsibilities

Own Higgs Audio releases from planning through launch, including release schedules, go/no-go reviews, documentation, release notes, updated model cards, and changelog entries.
Coordinate releases across the API and Boson Workspace, Hugging Face open weights, GitHub repositories, and hosting partners such as Microsoft Foundry and Deep Infra.
Work with research and engineering to define and enforce release quality standards, including language error rates, voice-cloning similarity, expressiveness benchmarks, listening tests, latency, and cost; catch regressions before release.
Triage bug reports and feature requests from GitHub, customer support, partners, and internal teams; assign severity, priority, and owners, and close the loop with reporters.
Break goals into milestones, track dependencies across research, engineering, and go-to-market, raise risks early, and make tradeoffs explicit to keep the schedule on track.
Engage developers, enterprise customers, partners, and creators; run beta programs, review usage data and support tickets, and turn customer feedback into requirements and priorities.
Ensure model changes integrate smoothly into products built on the models, such as Higgs VoiceOver.
Manage versioning and deprecation, including version names, migration guides, and advance deprecation notices for breaking changes.
Track release cadence, customer-facing regressions, time to resolve critical issues, adoption, and customer satisfaction, and provide regular concise status updates to leadership.
Help establish a predictable published release schedule, documented quality bars, owned and prioritized issues, timely critical-bug resolution, public change notices, and a customer-informed roadmap.