WHO WE ARE

Manychat is a leading Chat Marketing platform. We help businesses engage with their customers on Instagram, Facebook Messenger, WhatsApp, and Telegram. Manychat is a Meta Official Business Partner, backed by top investors, including Bessemer Venture Partners. 

With 140+ teammates across three global offices — Barcelona, Yerevan, and Austin — Manychat helps more than one million businesses worldwide interact with billions of customers in real-time at scale. No matter the use case — generating leads, increasing engagement, providing 24/7 customer support, accepting payments, and beyond — Manychat helps businesses improve their ROI and grow faster.

WHAT WE'RE LOOKING FOR

We are seeking a Large Language Model Data Engineer to join our Data Engineering team.

The ideal candidate is enthusiastic about creating valuable and sought-after products not just for internal departments but for a broader audience.

This role offers a unique opportunity to become a part of a startup-like initiative within the Manychat umbrella, where you can continuously learn, grow, and contribute to groundbreaking projects.

WHAT YOU’LL DO

At Manychat's Data Engineering team, we strive for excellence in everything we do. While our day-to-day tasks are essential, we go beyond them to identify profitable opportunities and experiences.

As part of the team, you will:

  • Develop, implement, and support our AI Platform. AI Platform is an extension of our Data Platform designed to support all internal and external AI (LLM-based) features of Manychat, such as smart agents, helpers, detectors, and co-pilots.
  • Design new AI features and support them with data.
  • Design logging and live quality monitoring approaches.

WHAT YOU’LL BRING

  • Technical Knowledge:
    • System design skills. Experience in designing complex, evolving IT systems with AI, ML, and analytical components.
    • Proficiency in Python is essential (Python 3, data processing and analytics).
    • Strong skills in SQL for data analysis and investigation.
    • Knowledge of machine learning: classification, learning, metrics, overfitting.
    • Basic knowledge of deep learning, LLM (transformers, attention mechanism), prompting.
    • Familiarity with the BI Reporting tools.
    • Familiarity with ML libraries in Python (for ML, NLP, and deep learning).
  • Data-centric Experimentations: Understanding of data-driven hypothesis testing, the skill of proving arguments with data in a proper scientific way.
  • Communication:
    • English B1/B2 to participate in complex technical and mathematical discussions with colleagues.
    • Ability to communicate with clients and colleagues in a supportive and polite manner.
    • Knowledge of the Russian language will be a plus.
  • Innovative Spirit: A drive to think out of the box, identify new opportunities, and contribute to the team's goal of being a profitable unit.
  • Team Player: While individual contributions are valued, it's essential to collaborate and share knowledge within the team and the broader organization.

WHAT WE OFFER

We care about your growth, well-being, and comfort

  • Candidates outside of Barcelona can start onboarding and complete the probation period remotely with further relocation to the city for a hybrid work format.
  • Professional development budget for relevant conference tickets, training programs, or courses.
  • Flexible benefits plan to choose the perks that fit your needs.
  • Health insurance including dentistry, psychology sessions, nutrition consultations, surgery, and travel assistance.
  • Hybrid work format.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

 

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