Drive machine learning model releases for Higgs Audio, combining release planning, evaluation analysis, and issue prioritization at Boson AI.
This hands-on senior individual contributor owns the path from research to launch. You will establish documented quality bars, coordinate model changes across products and channels, and manage versioning and deprecation. The work spans evaluation reports, listening tests, latency, cost, voice-cloning similarity, and error rates across 100+ languages.

Key Responsibilities

Set release schedules and lead documented go-no-go reviewsCoordinate model versions across APIs, open weights, repositories, and partnersAssess regressions through benchmarks, listening tests, latency, and costManage version names, migration guides, and deprecation noticesTrack cadence,



customer regressions, issue resolution, adoption, and satisfactionRequirements:
5+ years in software project, program, or product management2+ years managing technical products, including APIs or machine learning modelsRelease ownership with schedules, checklists, and launch decisionsAbility to read logs and analyze results using SQL, spreadsheets, or notebooksExperience releasing machine learning models is preferredUse release discipline, model evaluation, and technical fluency to guide dependable Higgs Audio launches from research onward.
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📌 Machine Learning Release Manager (Winnipeg)
🏢 Boson AI
📍 Winnipeg