Associate Product Manager

About Mobilewalla

Mobilewalla is a data and AI company transforming large-scale, privacy-compliant consumer behavioral data into intelligence products and vertical agentic AI solutions. Their proprietary platform leverages over a decade of longitudinal signals from approximately 2 billion devices across 40+ countries, ingesting around 50 TB of data daily. Mobilewalla serves over 200 businesses globally, with a focus on telecommunications and financial services.

Product Portfolio:

• Mobilewalla Data Platform: Core consumer data platform for audience segments, data enrichment, identity, and engineered features for modeling.
• Market Flow: Granular telecom market intelligence including market share, subscriber inflow/outflow, and competitive dynamics at a local-area level.
• Telescope: An agentic AI platform enabling telecom operators to query proprietary data using natural language for competitive and operational insights.
• LendBetter: Data and analytics for lenders, focusing on credit-risk modeling, new-to-credit customer identification, and fraud prevention.

About the Role

As an Associate Product Manager, you will collaborate with senior PMs to define, build, and launch data and AI products for telecom operators, lenders, and marketers. This role offers hands-on experience and significant learning opportunities, with ownership of well-scoped features from end to end. You will work closely with data engineering, data science, design, and commercial teams. A background in product management is not strictly required, but curiosity about data, comfort with ambiguity, and the ability to transform customer needs into shippable products are essential.

Key Responsibilities

• Write clear PRDs, user stories, and acceptance criteria for product features.
• Investigate client-reported issues, identify root causes, and collaborate with Engineering and Data Science for resolution.
• Research competitors and market trends, evaluating new data sources for quality, coverage, and product fit.
• Own and groom a backlog for a feature area, conduct sprint ceremonies with engineering, and manage work in Jira.
• Write and QA SQL to validate datasets, investigate anomalies, and answer product questions.
• Define and track product metrics (usage, data quality, coverage) and report insights.
• Utilize AI tools in your workflow to enhance research, spec writing, prototyping, and analysis.
• Identify problems and proactively improve existing workflows.

Requirements & Tech Stack

• Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related quantitative field.
• 0–2 years of experience in product management, business/data analysis, consulting, solutions engineering, or software development (internships and substantial projects are considered).
• Proficient SQL skills for querying, joining, and validating data independently.
• Strong structured thinking and written communication skills.
• Comfort working across time zones with distributed teams in Asia and North America.
• Genuine interest in data products and applied AI, with a bias for action.

Nice-to-haves

• Exposure to telecom/broadband, fintech/lending, adtech, or location/mobility data.
• Exposure to agentic architectures (orchestration, multi-source retrieval, evaluation, human-in-the-loop feedback loops).
• Familiarity with cloud data tooling (e.g., AWS, S3, Athena) and BI tools (e.g., Tableau, Power BI).
• Basic Python for analysis or experience with geospatial data.
• Understanding of data privacy regulations (e.g., GDPR, CCPA, PDPA) and privacy-by-design practices.
• Experience with Agile/Scrum and tools such as Jira, Confluence, and Figma.