About Mobilewalla
Mobilewalla is a data and AI company that turns large-scale, privacy-compliant consumer behavioural data into intelligence products and vertical agentic AI solutions. Our proprietary platform is built on more than a decade of longitudinal signals covering roughly 2 billion devices across 40+ countries, and ingests around 50 TB of data every day.
We serve 200+ businesses worldwide, with a focus on telecommunications and financial services. Our product portfolio includes:
- Mobilewalla Data Platform — the core consumer data platform — audience segments, data enrichment, identity and engineered features for modelling
- Market Flow — granular telecom market intelligence: market share, subscriber inflow/outflow and competitive dynamics at local-area level
- Telescope — an agentic AI platform that lets telecom operators ask specific competitive and operational questions in natural language, grounded in our proprietary data
- LendBetter — data and analytics for lenders: credit-risk modelling, new-to-credit customer identification and fraud prevention
The Role
As an Associate Product Manager, you will work alongside senior PMs to define, build and launch data and AI products used by telecom operators, lenders and marketers. This is a hands-on, high-learning role: you will own well-scoped features end to end, get deep into the data that powers them, and work daily with data engineering, data science, design and our commercial teams.
You do not need years of PM experience. You do need curiosity about data, comfort with ambiguity, and the drive to turn a messy customer question into a clear, shippable product.
What You Will Do
- Write clear PRDs, user stories and acceptance criteria for features on Products
- Investigate client-reported issues in depth, find the root cause, and work with Engineering and Data Science to get them resolved
- Research competitors and market trends, and evaluate new data sources for quality, coverage and fit with our products
- Own and groom a backlog for a feature area; run sprint ceremonies with engineering and keep work moving in Jira
- Write and QA SQL to validate datasets, investigate anomalies and answer product questions yourself
- Define and track product metrics — usage, data quality and coverage and report insights to the team
- Use AI tools in your own workflow to speed up research, spec writing, prototyping and analysis
- Look for problems to solve and improve existing workflows
What We Are Looking For
Must-haves
- 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 count
- Working SQL skills; able to query, join and sanity-check data independently
- Strong structured thinking and written communication — you can explain a technical trade-off to an engineer and a business outcome to a customer
- Comfort working across time zones with distributed teams in Asia and North America
- A genuine interest in data products and applied AI, and 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, and 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 working 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
Why Join Us
- Work on genuinely large-scale data — billions of devices, petabyte-scale storage — and on vertical AI products already in front of major telecom operators
- A small, senior team where junior PMs get real ownership and direct mentorship
- A clear growth path from Associate PM to Product Manager