Pocket Entertainment is a global leader in immersive audio storytelling, creating richly produced narrative experiences that engage millions of listeners across the world.
With over 100 billion minutes streamed annually, an average of 120 minutes of daily listening time, and more than 6 billion total audio plays, Pocket FM is on a mission to build the world’s largest AI-powered audio streaming platform, powered by a thriving community of 250,000+ creators. The platform continues to see rapid growth in the US and India, with strong expansion momentum across Europe and LATAM.
Our mission is to redefine the future of storytelling by empowering writers and creators worldwide with next-generation AI tools, from story generation co-pilots and seamless multilingual adaptations to expressive voice synthesis and creative tooling for image and video generation. As an AI-first company, we’re building and deploying proprietary generative AI models that power our entire value chain, spanning content creation, curation, marketing, distribution, and monetization.
We’ve already made significant strides:
10% of revenue and listening hours in the US now come from AI-generated audio series.
Scaled multilingual content localization across major European markets through in-house GenAI systems.
Expanded into adjacent storytelling formats such as comics, short video reels, and web novels, all powered by our AI platforms.
Accelerated innovation through rapid experimentation and deployment of LLM-based and multimodal AI pipelines.
Responsibilities:
Lead the analytics function for one of the product/business pods.
Work with the data engineering team to shape robust & real-time data systems with the right instrumentation & visualization capabilities.
Co-own the business goals & lead data-led problem-solving to find actionable insights across acquisition, payments, engagement & retention.
Set up a framework for running hundreds of parallel A/B tests reliably.
Work with product & business teams to identify high-level requirements/problems and build analytical frameworks & presentations.
Build reports & dashboards that enable a more data-aware organization and reflect the health of different initiatives.
Build & mentor a team of product analysts.
Requirements:
Graduate degree, preferably in Engineering / Statistics/ Operational Research/ Computer Science/ Mathematics or equivalent training or work experience.
3-5 years of experience; currently working in the Product Analytics team.
Demonstrated experience in data modling, predictive analysis, and expertise in R, SQL, and Python. Extremely strong analytical orientation/bent of mind and consumer understanding.
Experience with Reporting/BI tools, data warehousing concepts and ETL development and tools.
Familiar with digital analytics and click stream data.
Experience with Mixpanel, Adobe Analytics, AppsFlyer, Localytics, Apsalar etc is a plus
Qualifications
Excellent written and verbal communication skills
Ability to work independently and remotely
Strong problem-solving and critical thinking skills
Bachelor's degree in a related field
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