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 250+ teammates across international offices in Austin, Barcelona, Yerevan, São Paulo, and Amsterdam — Manychat helps businesses across the globe improve their ROI and grow faster.
What We're Looking For
We are looking for a
Senior Product Manager for Insights & Recommendations to shape how users discover value inside Manychat. Your mission will be to leverage data, personalization, and contextual insights to guide customers toward the most impactful actions.
This role sits at the intersection of
activation, engagement, and monetization. You will work closely with the Growth team, alongside PMs leading Activation and Monetization, to build a recommendations layer that helps users unlock the full potential of automation faster and more effectively.
The Recommendations Surface Across Multiple Key Touch Points
- Home tab
- Automation page
- Live Chat
- AI automation setup
You’ll partner with a team of data-oriented engineers and collaborate cross-functionally to design a system that feels both intelligent and human.
What You’ll Do
- Define the vision & strategy for recommendations and insights across the Manychat product.
- Develop a recommendation system that leverages data and personalization to maximize relevance and impact.
- Experiment & iterate: run experiments to identify which insights drive activation, retention, and monetization.
- Collaborate cross-functionally: work with Data Science, Engineering, and Design to build scalable solutions that feel intuitive.
- Bridge data & experience: translate user behavior and business outcomes into actionable recommendations.
- Measure success: own KPIs like recommendation engagement rate, activation uplift, retention lift, and incremental monetization.
- Think end-to-end: from system design to UI placement, ensuring recommendations feel natural and context-aware.
What You’ll Bring
- 5+ years of Product Management experience, with min 2years in SaaS or PLG environments.
- Experience working on recommendation systems, personalization, or data-driven products.
- Strong background in growth-oriented product development (activation, engagement, or monetization).
- Ability to work closely with data and ML/AI teams, with a solid understanding of experimentation and metrics.
- Track record of shipping impactful products that influenced key business outcomes.
- Excellent collaboration and communication skills, especially with technical teams.
Bonus Points
- Experience in marketing automation or adjacent fields.
- Familiarity with multi-channel ecosystems (IG, TikTok, WhatsApp, Messenger).
- Background in applied data science, analytics, or machine learning.
What We Offer
We care deeply about your growth, well-being, and comfort:
- Hybrid onboarding to start work remotely and relocation support for you and your family.
- 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.
