Teams at Plaud.ai

Own Plaud’s monetization strategy across pricing, subscription tiers, entitlements, add-ons, and usage-based charging. Build quantitative models to evaluate conversion, renewal, revenue, costs, and margins. Partner with AI product, billing, engineering, design, and business teams to translate commercial rules into product requirements, validate performance through data and experiments, and continuously improve pricing and monetization systems across regions and channels.

Owns Voice of Customer taxonomy and data quality standards, analyzes customer feedback and behavioral data, identifies trends and systemic issues, and translates findings into prioritized recommendations for Product, Support, Operations, and Engineering. Collaborates with analytics and research teams to align metrics and workflows, and uses SQL, BI tools, Python, APIs, and AI-assisted methods to scale reproducible insight generation.

Train frontline customer service agents in a BPO or outsourced environment, using direct customer-service experience to build credible training. Handle or understand email, chat, and phone support queues; create training materials, SOPs, and assessments with AI tools; and develop curricula and systems from scratch. Near-native English communication is required.