Product Lead – Learning Technology

Speak

. Own Learning Technology product direction and investment choices across voice, AI platform and evaluations, learner memory, and generated-content quality .

Posted 11/10/2026full-timeSan Francisco • California • United StatesSenior💰 $191,000 - $315,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep technical product experience in AI/ML systems, with a strong focus on model behavior, evaluations, and user experience. Proven ability to lead product areas, manage teams, and drive measurable impact through effective decision-making and communication.

Highest-signal resume keywords

AI/ML Product ExperienceModel EvaluationHiring And Managing PMsClear CommunicationProduct Judgment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model Behavior ReasoningData EvaluationsProduction MeasurementUser Experience ImprovementASRTTSLLMsRecommendation SystemsMultimodal AIContent Quality Evaluations

Soft Skills

Clear CommunicationLeadershipCoaching

Tools & Technologies

AI Developer PlatformsVoice MLAI Platform

Industry Keywords

Generated ContentPersonalizationReal-Time VoiceContent Evaluations

About the role

Key responsibilities & impact

Own Learning Technology product direction and investment choices across voice, AI platform and evaluations, learner memory, and generated-content quality
Work with Core Learning to identify improvements to model behavior, lesson quality, personalization, and real-time interaction
Decide whether to adopt, fine-tune, build, or use external models and services based on quality, latency, reliability, and cost
Shape evaluation and release decisions for learner speech and real-time voice, including ASR, TTS, and conversational models
Connect model benchmarks to performance in actual lessons and conversations
Set product requirements for the Tutor agent harness, model-serving, and shared AI tooling
Work with Content Quality and Learning Design to improve generated lessons, curriculum inputs, and content evaluations
Take research and prototypes through integration, production measurement, and iteration
Hire, coach, and manage PMs across Voice ML, AI Platform, Content Quality, and Memory

Requirements

What you’ll need

Deep technical product experience with AI/ML or similarly complex systems
Ability to reason about model behavior, data, evaluations, failure modes, reliability, latency, and cost
Experience taking a technical capability, research effort, or prototype into production with measurable product or business impact
Strong product judgment connecting technical improvements to user experience
Experience deciding what to build, buy, adapt, or stop
Experience leading multiple related product areas and delivering results through other teams
Direct experience hiring, managing, and developing PMs
Clear communication and ability to work with technical teams, researchers, and company leadership
Experience with LLMs, agents, memory, personalization, recommendation systems, ASR, TTS, real-time voice, multimodal AI, model evaluation, generated content, content-quality evaluations, or AI developer platforms is nice to have
Ability to work from the San Francisco HQ at least 3 days a week

Benefits

Comp & perks

Equity
Opportunity to travel
Opportunity to talk to users across multiple regions
Work with a tight-knit team
Professional growth and development opportunities