Product Manager: AI-Powered Content Generation for Learners

Candidate; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Speak is seeking a Product Manager to lead the transformation of content generation and quality workflows for multilingual language learning. You will design evals, authoring and QA tooling, and end-to-end processes that scale high-velocity content generation while preserving quality and pedagogical integrity.

Collaborating with curriculum, AI, engineering, product and learning teams, you will define evaluation criteria for AI-generated lessons and build human-review and automation gates to

Qualifications

• 6+ years of hands-on Product Management experience.
• Experience with AI product systems: generated content, authoring tools, workflow automation, evals, QA, or expert-review workflows.
• Technical fluency around model behavior, data quality, reliability, and user trust.
• Strong written communication and structured thinking.
• Demonstrated ability to lead cross-functional outcomes without formal authority or direct reports.

Responsibilities

• Own the content generation and quality product roadmap.
• Design and ship authoring, generation, QA, evals, and content improvement loops for internal and external users.
• Build product workflows for human expert review, automation, and quality gates.
• Partner closely with curriculum, AI, engineering, product, and learning teams.
• Define evals and ship/no-ship criteria for AI-generated lessons, feedback, and content variants.
• Build feedback loops from learner behavior (ratings, completion, complaints, expert review) back into generation quality.
• Design the end-to-end workflow that moves priority content from request → generated draft → human review → launch.

Skills

Product Management

AI product systems

Technical fluency in AI/ML

Written communication

Cross-functional leadership

Job description

Speak is seeking a Product Manager to lead the transformation of content generation and quality workflows for multilingual language learning. You will design evals, authoring and QA tooling, and end-to-end processes that scale high-velocity content generation while preserving quality and pedagogical integrity.

Collaborating with curriculum, AI, engineering, product and learning teams, you will define evaluation criteria for AI-generated lessons and build human-review and automation gates to