Job description
WHO WE ARE 🌍
Manychat is a leading Chat Marketing platform. We help businesses engage with their customers on Instagram, Facebook Messenger, WhatsApp, and Telegram.
Trusted by over 1 million brands in 170+ countries, we’re an official Meta Business Partner, backed by top investors, including Bessemer Venture Partners.
With 300+ teammates across international offices in Barcelona, Austin, Amsterdam, São Paulo, and Yerevan — Manychat helps businesses across the globe improve their ROI and grow faster.
WHO WE’RE LOOKING FOR 🌟
Manychat’s AI Research team turns cutting-edge ideas into production features that automate millions of conversations every day. You’ll work side-by-side with a dedicated Python Platform team (they handle service scaffolding, scaling, and architecture) and partner closely with Product to make sure every ML/LLM workflow you ship solves real user problems and is continuously validated in the wild.
WHAT YOU’LL DO 🤖
Define the team’s tool stack: data labeling, experiment tracking, workflow-as-code, and more, creating clear interfaces with other squads.
Partner with Product to solve user cases and propose technical metrics that act as leading indicators for product KPIs.
Prepare validation data: set dataset requirements, recommend improvements, and drive labeling strategies.
Select the optimal approach: classical ML, LLM chains, or agents, balancing quality, cost, available data, and expected load.
Deliver solutions to production with the Python Platform Team, refining service boundaries as you go.
Continuously enhance features through monitoring and user feedback from live traffic.
WHAT YOU’LL BRING 💥
- 7+ years of production ML/LLM experience in Python, from prototype to live service.
- Proven skill training classical models (gradient boosting, tree ensembles, linear models) and building repeatable pipelines.
- Prompt-engineering expertise: designing, testing, and refining system/user prompts, few-shot patterns, tool calls, and guardrails.
- Practical experience fine-tuning LLMs, implementing RAG pipelines, vector search, and conducting large-scale evaluations.
- Solid grasp of pydantic for typed data models and validation in Python services.
- Clean, well-tested code with CI/CD, containers, observability, and performance tuning.
- Clear written and verbal communication; effective cross-team collaboration.
- Track record of independently delivering projects in fast-moving environments.
WHAT WE OFFER 🤗
We care deeply about your growth, well-being, and comfort:
- 💙 Comprehensive health insurance for both you and your family.
- 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
- 🫶 Flexible benefits package to tailor perks that matters most for you.
- 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
- 🍽️ In-office perks, including free meals and snacks.
- 🤝 Company-funded sport activities, annual offsites, and team-building events.
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.
With my application, I accept the Manychat Privacy Policy.
