Senior Product Manager (AI, Billing and Monetization)

TL;DR

Senior Product Manager (AI, Billing and Monetization): Driving the strategy, development, and execution of our billing system and monetization strategy for the AI business unit with an accent on building a seamless, scalable system that supports user growth and enterprise value. Focus on identifying and pursuing key business opportunities and driving product vision to achieve business outcomes.

Location: Amsterdam, Netherlands; Berlin, Germany; Dubai, United Arab Emirates; Limassol, Cyprus; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Company

hirify.global provides a wide selection of both first- and third-party AI tools to its customers through its IDEs and other surfaces (e.g. VS Code extension).

What you will do

• Define and drive the roadmap for billing and monetization.
• Set and run pricing campaigns and experiments that support the roadmap and optimize for impact.
• Define, communicate, and drive toward outcomes that align with the product vision and OKRs.
• Work with central billing and payments, as well as sales enablement and revenue operations on integrations to ensure a seamless customer experience.
• Identify and integrate third-party providers where necessary to augment our capabilities.

Requirements

• Have at least five years of experience in Product Management, specifically working on billing, payments, and monetization systems.
• Be deeply technical and data-literate, with practical experience in building, launching, and optimizing billing infrastructure.
• Have first-hand experience in understanding user buying behaviours, setting and running monetization experiments, and driving trial-to-paid conversion with demonstrable business impact at scale.
• Be comfortable working in a highly technical and developer-focused domain.
• Be proficient in English with the comfort and ability to influence senior stakeholders up to CXOs.

Nice to have

• Be excited about AI both technically and in user applications.
• Have hands-on experience working with AI development and data applications.