Product Lead, Learning Technology

Speak • San Francisco, CA

4d • $191,000 - $315,000

About The Position

Speak is hiring a Product Lead for Learning Technology to set product direction across the technologies behind its AI language tutor, including voice technology, learner memory, generated content, evaluation, and the systems that connect them. The role works directly with founders and engineering and research leaders to decide whether to adopt external models, improve existing systems, or develop specialized technology, with investment choices guided by their effect on the learner experience.

This is a hands-on product leadership position. The Product Lead will build and lead product managers across Voice ML, AI Platform, Content Quality, and Memory while remaining involved in important technical product decisions. Initially, the role will also directly own priority areas without dedicated PM coverage, particularly shared AI systems and evaluations.

Requirements

• Deep technical product experience with AI/ML or similarly complex systems, including the ability to reason with engineers about model behavior, data, evaluations, failure modes, reliability, latency, and cost.
• Evidence of personally taking a technical capability, research effort, or prototype into production with measurable product or business impact.
• Strong product judgment: connect technical improvements to user experience and decide what to build, buy, adapt, or stop.
• Experience leading multiple related product areas, clarifying priorities and tradeoffs, and delivering results through other teams.
• Direct experience hiring, managing, and developing PMs, including delegating ownership, coaching, and performance management.
• Clear communication and ability to work directly with technical teams, researchers, and company leadership.

Nice To Haves

• Experience with LLMs, agents, memory, personalization, or recommendation systems.
• Experience with ASR, TTS, real-time voice, multimodal AI, or model evaluation.
• Experience with generated content, content-quality evaluations, or AI developer platforms.

Responsibilities

• Own Learning Technology product direction and investment choices across voice, AI platform and evaluations, learner memory, and generated-content quality.
• Partner with Core Learning to identify model behavior, lesson quality, personalization, and real-time interaction improvements that would most improve Tutor use and learning.
• Choose whether to adopt a new model, fine-tune one, build a specialized capability, or use an external service, weighing 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, prioritizing reliability and capabilities needed by product teams.
• Work with Content Quality and Learning Design to improve generated lessons, curriculum inputs, and content evaluations, while leaving teaching standards and learner-facing teaching decisions with the teams that own them.
• Take research and prototypes through integration, production measurement, and iteration; decide whether to build, buy, extend, or stop based on evidence.
• Hire, coach, and manage PMs who can independently own technical product areas and make consequential decisions.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed