Boson Ai
Project Manager - Higgs Audio
$160K–$260K
Santa Clara HQ · Hybrid · Manager · Full-time · Posted Oct 28, 2026
- Experience
- 5+ years in project, program, or product management on software products, including at least 2 years on technical products.
About the job
Owns Higgs Audio’s roadmap and releases from research through launch, coordinating quality, schedules, issue triage, distribution channels, and customer feedback.
What you'll do
- Plan and manage releases, including schedules, go/no-go reviews, documentation, versioning, and deprecation notices.
- Coordinate quality control, issue prioritization, milestones, and release distribution across products and partner channels.
- Gather customer feedback and usage data, translate them into roadmap priorities, and report release and customer metrics.
What they ask for
- 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 and making go/no-go calls.
- Technical fluency with Python, REST and streaming APIs, GitHub, and issue trackers; ability to reproduce bugs, read logs, and analyze evaluation results.
- Experience turning customer conversations and usage data into prioritized requirements; clear, concise writing; ability to use agentic AI efficiently; and ability to work hybrid from Santa Clara or Toronto.
Nice to have
- Experience with speech/audio products, ML model releases, or managing an open-source project on GitHub.
- Enterprise customer or cloud-partner experience; an engineering background or related degree; a good ear for generated speech; or fluency in a language besides English.
Pay
USD 160,000–260,000 (per-year-salary) (base salary)
Tools
Python, REST, SQL, GitHub, Hugging Face, Microsoft Foundry, Deep Infra, EmergentTTS-Eval
AI focus
Manage releases for speech and multimodal AI models, including quality evaluation and customer-facing distribution; use agentic AI efficiently in the work.
Model-written summary · the original posting is authoritative