Senior Engineering Manager, Applied AI & Audio

Senior Engineering Manager to lead the Sound Solutions team, focused on using AI to intelligently adapt music for real-world creative use. The role is accountable for people, delivery, and technical direction, shipping and scaling AI-powered music adaptation capabilities. The team consists of Machine Learning Engineers and Software Engineers who own both the models and the backend services. The role works with a Product Manager and alongside data platform, MLOps, and product engineering teams. Equal opportunity employer.

Responsibilities

Lead the team in taking AI models from training to live production, including real-time inference, and keep them reliable as usage grows; Own the team's technical direction and prioritization, balancing model quality, speed, and cost, in partnership with the PM; Shape the team's model strategy with ML engineers: evaluate models, open-source solutions, and vendor offerings; Build a high-ownership team culture through mentorship and honest feedback, growing engineers across ML and software; Partner with data, MLOps, and product engineering teams to integrate AI into the creator experience, including the backend services behind it

Requirements

Significant engineering leadership experience, with a track record of managing and growing teams across ML and software engineering that ship ML systems into production; Solid practical understanding of the ML lifecycle (training, evaluation, deployment) and the current AI landscape, including fine-tuning on domain-specific data; Has built and shipped production software, ideally ML-powered services, and can credibly lead engineers who build backend services; Experience scaling an ML-powered product or tooling as usage grew (more users, latency, cost, reliability); Ability to set clear direction and keep a team focused when the path isn't always obvious; Product mindset, working closely with product to prioritize what matters most to creators

Nice to have

Experience with audio, music, or related domains; Curiosity about the audio/music space; Track record in technically ambitious environments