Project Manager owning Higgs Audio releases for Boson AI’s real-time speech and multimodal AI platform. Coordinating quality, customers, APIs, open models and product roadmaps.
Responsibilities
Own Higgs Audio releases from planning to launch, including schedules, go/no-go reviews, documentation, release notes, model cards and changelogs
Coordinate releases across the API, Boson Workspace, Hugging Face, GitHub, Microsoft Foundry and Deep Infra
Define and enforce release quality standards covering error rates across 100+ languages, voice-cloning similarity, expressiveness, listening tests, latency and cost
Triage bug reports and feature requests, assign severity, priority and owners, and close the loop with reporters
Break goals into milestones, track dependencies, raise risks and make tradeoffs explicit
Engage developers, enterprise customers, partners and creators through conversations, beta programs, usage data and support tickets
Translate customer insights into requirements and roadmap priorities
Ensure model changes land smoothly in products such as Higgs VoiceOver
Own versioning, migration guides and deprecation notices
Track release and customer metrics and provide regular leadership 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, running release processes and launch checklists, making go/no-go calls, 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 in SQL, a spreadsheet or a notebook
Experience turning customer conversations and usage data into prioritized requirements
Clear, concise writing in specs, release notes and status updates
Ability to use agentic AI efficiently in work
Able to work from the Santa Clara HQ or Toronto office on a hybrid schedule
Preferred: experience with speech or audio products, ML model releases, open-source GitHub projects, enterprise customers or cloud partners
Preferred: engineering background or degree in computer science, electrical engineering or related field
Ability to speak multiple languages is a plus
Preferred: fluency in a language besides English
Benefits
Hybrid work schedule with at least three days a week in the office
Occasional travel between the Santa Clara and Toronto offices and to customers
Equal opportunity employer
AI-assisted application screening with human review of shortlisted candidates
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