Senior Product Manager AI

About MoEngage:

MoEngage is an insights-led customer engagement platform trusted by 1350 global consumer brands including McAfee Flipkart Dominos Nestle Deutsche Telekom and OYO. MoEngage combines data from multiple sources to help brands gain a 360-degree view of their customers.

MoEngage Analyticsarms marketers and product owners with insights into customer behavior. Brands can leverageMoEngage Personalizeto orchestrate journeys and build 1:1 conversations across the website mobile email social and messaging Inform the transactional messaging infrastructure helps unify promotional and transactional communication to a single platform for better insights and lower costs. MoEngagesAI Suitehelps marketers develop winning copies and creatives optimize campaigns and channels that boost engagement and help with faster execution.

For over a decade consumer brands in 60 countries have been using MoEngage to power digital experiences for over a billion monthly customers. With offices in 15 countries MoEngage is backed by Goldman Sachs Asset Management B Capital Steadview Capital Multiples Private Equity Eight Roads F-Prime Capital Matrix Partners Ventureast and Helion Ventures.

MoEngage was named a Contender in The Forrester Wave: Real-Time Interaction Management Q1 2024 report and Strong Performer in The Forrester Wave 2023 report. MoEngage was also featured as a Leader in the IDC MarketScape: Worldwide Omni-Channel Marketing Platforms for B2C Enterprises 2023.

About the Role

As a Senior Product Manager for Recommendations Data Science and Generative AI you will own the Intelligence layer of MoEngage. You will be responsible for building world-class recommendation engines that predict user behavior and leveraging Generative AI to bridge the gap between insight and action.
You will work at the conflux of Big Data and Artificial Intelligence collaborating closely with Data Scientists and Engineers to build products that help marketers answer: What should I recommend to this user and what is the best way to say it

Roels & Responsibilities:

• Define Product Vision & Strategy: Own the end-to-end roadmap for the AI/ML pod focusing on predictive recommendation systems affinity modeling and Generative AI applications.
• Lead the AI Revolution: Identify and implement GenAI use cases that streamline the marketing workflowfrom automated copy generation to AI-assisted journey building.
• Scale Recommendation Engines: Drive the strategy for our 1:1 personalization engine ensuring it can handle trillions of data points to deliver real-time relevant product and content recommendations.
• Collaborate with Data Science: Partner with the DS team to translate complex models (XGBoost Reinforcement Learning LLMs) into intuitive product features that non-technical marketers can use.
• Data-Driven Decision Making: Live and breathe metrics. Define and monitor KPIs for recommendation accuracy conversion uplift and AI-driven efficiency.
• Be the Customers Voice: Conduct deep user research to understand the pain points of growth marketers and product owners turning these insights into scalable AI solutions.
• Cross-Functional Leadership: Work with GTM teams (Sales CS Marketing) to ensure product delivery market adoption and a clear competitive advantage in the MarTech space.

Requirements :

• 5 Years in Product Management: Specifically in B2B SaaS MarTech or Data/Analytics companies.
• AI/ML Domain Expertise: Proven track record of shipping AI/ML-driven features. You should be comfortable discussing data models APIs and the nuances of LLMs with engineers.
• Analytical Mindset: Expert-level proficiency in SQL and data analysis. You dont just look at dashboards; you hunt for patterns in raw data.
• Customer-Centricity: A history of talking to customers and translating ambiguous problems into clear concise product requirements and user stories.
• High Bias for Action: You thrive in a fast-paced environment can prioritize ruthlessly and take full ownership of your product area from ideation to GTM.
• Technical Education: Bachelors degree in Computer Science Engineering or a related field (MBA/Masters is a plus).

Bonus Points

• Direct experience building AI/ML or Recommender Systems or Discovery engines.
• Familiarity with LangChain LlamaIndex or building Agentic workflows using LLMs.
• Previous experience in the Customer Data Platform (CDP) or Marketing Automation space.

• MBA or advanced technical degree.

At MoEngage we respect and value differences. We believe that when people from diverse backgrounds and perspectives collaborate we create the most value for our clients our employees and society. We embrace diversity and uphold a strong set of values. We are committed to inclusivity and take pride in providing equal opportunities for success and growth.

Employment at MoEngage is based solely on professional competence skills and experience. We stand firmly against all forms of discrimination and support equal rights and opportunities regardless of gender ethnicity abilities age identity orientation or expression marital status (including pregnancy) religion and beliefs or any other status protected by law.

It is our policy to comply with all applicable national state and local laws related to non-discrimination and equal opportunity. MoEngage is truly a place where everyone can bring their passions authentic selves and talents to work collaborating to drive progress and solve meaningful challenges.

Why Join Us!

At MoEngage we are passionate about our team and technology - see below to know more about us.

Scale @MoEngage

We handle more than a billion messages every day. Rest assured you will be surrounded by really smart and passionate people as we scale much more to build a world-class technology team.