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 solid expansion 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 copilots and multilingual adaptation to expressive voice synthesis and creative tooling for images and video. As an AI-first company, we're building proprietary generative AI systems that power every stage of our content lifecycle, including creation, discovery, marketing, distribution, and monetization. What We've Built

10% of US revenue and listening hours now come from AI-generated audio series

Scaled multilingual content localization across major European markets using in-house GenAI systems

Expanded into comics, short-form video, and web novels through AI-powered storytelling platforms

Rapidly experiment, evaluate, and deploy LLM-based and multimodal AI systems at production scale Responsibilities

Lead the analytics charter for a high-impact product or business pod, acting as the strategic data partner for Product, Engineering, Growth, and Business teams

Define product and business metrics, build scalable analytical frameworks, and influence roadmap prioritization through data-driven insights





Own end-to-end experimentation, including hypothesis generation, experiment design, statistical analysis, and post-launch impact measurement

Build reliable reporting systems, executive dashboards, and self-serve analytics that improve organizational visibility into key business metrics

Partner with Data Engineering to improve data quality, instrumentation, event taxonomy, and real-time data pipelines

Analyze user behavior across the customer lifecycle—including acquisition, activation, engagement, monetization, retention, and churn—to identify growth opportunities

Develop predictive models, segmentation strategies, and causal analyses to improve decision-making

Drive a culture of experimentation by establishing best practices for A/B testing, metric governance, and analytical rigor

Present complex analyses and strategic recommendations to senior leadership in a simple and actionable manner

Mentor analysts, establish analytical best practices, and contribute to building a high-performing analytics organization Requirements

Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative discipline

5–8 years of experience in Product Analytics, Growth Analytics, Business Analytics, or Decision Science,



preferably within consumer internet, streaming, gaming, or technology companies

Advanced proficiency in SQL and strong programming skills in Python (R is a plus)

Strong understanding of statistics, experimentation, causal inference, hypothesis testing, regression, segmentation, forecasting, and predictive analytics

Hands-on experience working with large-scale event data, clickstream analytics, and user behavior datasets

Experience with BI and visualization tools such as Tableau, Looker, Power BI, or similar platforms

Strong understanding of data warehousing concepts and modern analytics stacks (BigQuery, Snowflake, Redshift, Databricks, etc.)

Familiarity with product analytics platforms such as Mixpanel, Amplitude, Adobe Analytics, AppsFlyer, or similar tools

Demonstrated ability to influence product strategy through analytical insights and cross-functional collaboration

Experience mentoring analysts or leading analytical initiatives is highly preferred Preferred Qualifications

Excellent communication and storytelling skills with the ability to translate complex analyses into business recommendations

Strong product intuition and customer-centric thinking

Ability to thrive in a quick-paced, highly experimental environment with multiple parallel initiatives

Comfortable working with ambiguity and independently driving high-impact analytical projects

Experience in subscription businesses, consumer apps, recommendation systems, personalization, or content platforms is a strong plus

Exposure to AI/ML-powered products, experimentation platforms, or recommendation systems is an added advantage

📌 Lead Product Analyst (Bengaluru)
🏢 Pocket FM
📍 Bengaluru