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Product Manager - AI Content Generation

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · San Francisco

Employer listed it 4 weeks ago · Added 4 weeks ago

Been open since 4 weeks ago, still being checked, but it has been live a while.

Salary

$191k to $315k per year

Location

Hybrid · San Francisco

Timezone

Not stated

Contract

Full-time

Experience

Mid

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Global in nature: We're live in over 40 countries and launching in a number of new markets soon.
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Not mentioned in the advert

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.

What the employer says

Source listing states candidate location: "San Francisco, Hybrid"
Listing mentions "Hybrid"

What Nomaders makes of it

Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About us

Our mission is to reinvent the way people learn, starting with language.

Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn’t been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages.

Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world’s leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.

About this role

We're building a product capability out of what's currently a production bottleneck.

Speak already has a scaled consumer product and a hard mission: help people actually become fluent, not just feel productive in an app. The long-term vision is a superhuman tutor — a system that understands a learner's level, goals, mistakes, context, and next best step, then creates or recommends the right lesson, conversation, drill, assessment, or review at the right moment.

Right now, enabling new languages and creating new professional courses depend on manual production. This role exists to build the product system that scales at the speed of software, makes high-velocity content generation possible with real quality guarantees, human review workflows, and pedagogical integrity.

We're looking for a Product Manager who can personally drive that transformation — designing evals, building authoring and quality workflows, connecting generation to learner outcomes, and raising execution quality across every team involved.

What you'll be doing

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

What we're looking for

Must-have 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 — enough to define real product requirements, not just relay them

Strong written communication and structured thinking

Demonstrated ability to lead cross-functional outcomes without formal authority or direct reports

Requirements

·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 — enough to define real product requirements, not just relay them
·Strong written communication and structured thinking
·Demonstrated ability to lead cross-functional outcomes without formal authority or direct reports

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, hybrid, matches where you plan to live and work.
2Tailor your CV to the role at Speak, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 27d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.