Applied ML Manager

• Manage and grow the ML team through clear expectations, regular feedback, and strong coaching
• Define quarterly ML goals and success metrics, establish baselines, and build a visible “scoreboard” for progress
• Drive end-to-end execution on key ML initiatives: planning, evaluation, iteration, rollout, and impact measurement
• Build a repeatable model evaluation and experimentation process (quality, performance, reliability), including rollout criteria
• Partner with Product and Engineering leaders to align roadmaps, clarify ownership, and ensure ML work is shippable and predictable
• Identify gaps in our current ML strategy, propose concrete bets, and translate direction into actionable plans
• Help hire thoughtfully as the team grows, without prematurely scaling into a large org

• 8–10+ years overall experience in applied ML, with a track record of shipping ML and LLM systems into production
• 4+ years people management experience, including leading 1:1s, giving feedback, and handling performance
• Strong technical judgment in applied ML (not primarily ML infra/MLOps), including ability to define and run rigorous evaluations
• Excellent metric sense and analytical thinking: can translate ambiguous goals into measurable outcomes and make tradeoffs
• Strong cross-functional collaboration skills with Product, Engineering, and Design
• Clear written communication: can write crisp strategy docs, decision memos, and goal docs

speech/audio, linguistics, or multimodal experience

• Offers Equity
• Join a fantastic, tight-knit team at the right time
• Do your life's work with people you’ll love working with
• Global in nature: live in over 40 countries, dedicated offices in San Francisco, Ljubljana, Seoul, and Tokyo, opportunity to talk to users and travel
• Impact people's lives in a major way