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SeniorГибридПолная занятость

AI Senior Product Manager (x/f/m)

Оценка ИИ

Высокий балл обусловлен сильным брендом Doctolib, социально значимой миссией и отличным пакетом льгот (страховка, ваучеры, гибкий график). Работа на острие технологий AI в регулируемой среде — отличный вызов для карьеры.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубокой экспертизы в управлении продуктами (3-5 лет) и специфического опыта в области AI/ML (ASR, транскрипция). Процесс отбора включает сложный 90-минутный кейс-стади и проверку рекомендаций.

Анализ зарплаты

Медиана85 000 €
Рынок75 000 € – 105 000 €
Оценка ИИ

Предлагаемая роль Senior PM в Париже соответствует рыночным ожиданиям для крупных тех-компаний (Scale-ups). Учитывая специализацию на AI, компенсация может находиться в верхней границе указанного диапазона.

Сопроводительное письмо

I am writing to express my strong interest in the AI Senior Product Manager position for the Consultation Assistant team at Doctolib. With over 5 years of experience in product management and a proven track record of shipping AI-powered features, I am excited about the opportunity to scale your AI Scribe solution. My background includes working closely with ML engineers on model evaluation and production trade-offs, which aligns perfectly with your need for someone to refine Clinical ASR quality and drive the German market launch.

Throughout my career, I have focused on balancing technical model performance with user-centric design, especially in high-stakes environments. I am particularly drawn to Doctolib's mission of reducing the administrative burden for healthcare professionals. My fluency in English and French, combined with my experience in structured problem-solving and metrics-driven decision-making, will allow me to contribute immediately to your team's success in Paris and beyond.

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Описание вакансии

Your Impact

We are looking for an AI Product Manager to join one of our in-house startups : Consultation Assistant.

Your mission will be to own a standalone AI Scribe product at Doctolib, helping build and scale a dedicated AI Scribe experience that makes clinical documentation faster, higher-quality, and less painful for practitioners. You will work in a feature team developing AI-powered clinical documentation solutions, contributing directly to reducing admin burden for 400,000 health professionals across Europe and unlocking more time for patient care, with measurable adoption and satisfaction outcomes.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

What you'll build

Your responsibilities include but are not limited to:

  • Own the end-to-end product strategy for our AI Scribe solution, driving quality improvements and market expansion with high autonomy
  • Build and refine Clinical ASR quality through tight collaboration with Data Scientists and ML Engineers on model evaluation, iteration loops, and production trade-offs (accuracy, latency, privacy)
  • Drive the Germany market launch, coordinating across engineering, design, and local teams to ensure successful go-to-market execution
  • Develop structured evaluation frameworks and monitoring systems for ML quality in production, defining metrics like WER, accuracy by segment, and user satisfaction
  • Collaborate closely with clinicians to understand documentation workflows, trust requirements, and specialty-specific needs, translating insights into product features
  • Champion a user-centric approach, balancing model performance with real-world constraints (time pressure, accuracy requirements, regulatory compliance)

Who you are

Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You'll be a great fit if you:

  • You have at least 3–5 years of Product Management experience, including at least 2 years on AI/ML-powered products with hands-on experience shipping user-facing AI features
  • You have strong product fundamentals including discovery, prioritization, execution, stakeholder management, and metrics-driven decision making
  • You are comfortable working closely with Data Scientists and ML Engineers on model quality topics, discussing evaluation methodology and production trade-offs
  • You are fluent in English and French (user language), with strong analytical rigor and comfort with metrics, dashboards, and structured problem-solving
  • You have an entrepreneurial mindset with the ambition to transform healthcare, demonstrating empathy for clinicians' workflows and comfort operating in fast-moving environments with ambiguity

It would be fantastic if you:

  • You have experience with ASR or speech products (dictation, transcription, diarization, noisy audio handling)
  • You have familiarity with healthcare or other regulated contexts (privacy, risk management, sensitive data)
  • You speak German (ideally fluent) and have exposure to international launches, localization, and go-to-market coordination

Tech Life at Doctolib

  • Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
  • We leverage AI ethically across our products to empower patients and health professionals. Discover our AI visionhere.

Want to learn more about our tech culture and environment? Visit theDoctolib Tech site.

What we offer

  • Free comprehensive health insurance for you and your children
  • 25 days of paid vacation per year, plus up to 14 days of RTT
  • Free mental health and coaching services through our partner Moka.care
  • Work from abroad for up to 10 days per year thanks to our flexibility days policy
  • Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • 50% reimbursement of your public transport subscription
  • Parent Care Program: receive one additional month of leave on top of the legal parental leave
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Relocation support in case of international mobility
  • Access to the best AI tools for coding, development and dedicated training

Our interview process

  • Recruiter Interview (45m)
  • Hiring Manager Interview (60m)
  • Case Study (90m)
  • Behavioral Interview (75m)
  • At least one reference check

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on ourcandidate experience page.

Job details

  • Permanent position
  • Full-time
  • Paris - Levallois, Nantes. Hybrid (2-3 days in office)
  • Start date: as soon as possible

We welcome everyone

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click here:Germany lFrance lItaly lNetherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

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Навыки

  • Stakeholder Management
  • Product Management
  • Artificial Intelligence
  • Machine Learning
  • Product Strategy
  • Analytics
  • User Research
  • Data Science
  • Automatic Speech Recognition

Возможные вопросы на собеседовании

Проверка технического понимания работы с ML-моделями и метриками качества.

Как бы вы подошли к оптимизации метрики WER (Word Error Rate) для медицинских терминов, учитывая баланс между точностью и задержкой (latency)?

Оценка опыта вывода продукта на новые рынки, что указано в задачах (запуск в Германии).

Опишите ваш опыт локализации AI-продукта. С каными основными трудностями вы столкнулись при адаптации модели под новый язык или регуляторные нормы?

Проверка навыков приоритизации в условиях ограниченных ресурсов.

Как вы решаете конфликт между внедрением новой инновационной ИИ-фичи и необходимостью исправления текущих ошибок в точности распознавания речи?

Оценка эмпатии к пользователю и понимания специфики здравоохранения.

Как вы будете собирать обратную связь от врачей, у которых крайне мало времени, чтобы убедиться, что AI Scribe действительно упрощает их рабочий процесс?

Проверка умения работать с данными и мониторингом.

Какие ключевые показатели эффективности (KPI) вы бы установили для мониторинга успеха AI Scribe в первые три месяца после запуска в Германии?

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