Drimva

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

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)