Job Description
Responsibilities:
Define Product Vision & Strategy: Own the end-to-end product roadmap for the Segmentation Pod. Define the future of how brands understand and group their users, from simple rule-based segments to advanced, AI-powered predictive audiences.
Execute with Excellence: Collaborate closely with engineering, design, and data science teams to translate your vision into clear, concise product requirements, user stories, and specifications. Manage the product backlog and prioritize features to deliver maximum impact.
Be the Customer's Voice: Conduct deep user research, analyze customer feedback, and study market trends to identify and validate new opportunities. Be the internal expert on your users' segmentation needs and pain points.
Data-Driven Decisions: Live and breathe data. Define and monitor key success metrics for your product area, analyze product usage, and leverage insights to iterate and improve.
Drive Scalability & Performance: As we scale to trillions of data points, you will be obsessed with the performance, reliability, and scalability of the segmentation engine, ensuring queries are fast and accurate.
Cross-Functional Leadership: Work seamlessly with GTM teams (Marketing, Sales, Customer Success) to support new feature launches, develop enablement materials, and gather market intelligence.
Manage the Lifecycle: Own your features from ideation through development, launch, and iteration.
Required Qualifications:
Deep Technical Acumen: You have a strong understanding of data platforms, analytics, database concepts, and APIs. You are comfortable discussing system architecture and data models with engineers.
Customer-Obsessed: You have a proven track record of talking to customers, understanding their problems, and translating their needs into successful product outcomes.
Exceptional Communicator: You can articulate a clear and compelling product vision to diverse audiences, from engineers to executives to non-technical marketers.
Analytical Mindset: You are highly analytical and comfortable using data (SQL is a strong plus) to make decisions, define metrics, and measure success.
Ownership Mentality: You are a self-starter who thrives in a fast-paced environment and takes full ownership of your product area from start to finish.
Bachelor's degree in Computer Science, Engineering, Business, or a related field.
Bonus Points:
Experience with AI/ML-driven product features, such as predictive segmentation or user affinity modeling.
Direct experience with customer data platforms (CDPs), digital analytics, or marketing automation platforms.
Familiarity with data privacy and compliance regulations (e.g., GDPR, CCPA).
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.
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