Senior Product Manager II, Powered by TodayTix

Overview

As a Senior Product Manager in PxT, you own discovery and delivery for a key platform area, partnering with producers, event organisers, and cross‑functional teams to turn insights into tangible features. You’ll leverage AI to prototype and learn, navigate ambiguity, and drive outcomes across adoption, conversion, and platform metrics. You’ll mentor PMs and contribute to a culture of rapid learning and measurable impact within a fast-growing live‑events business.

Pay / Benefits

• Hybrid work environment
• Flexible work from anywhere (up to 4 weeks)
• Generous pension match
• Complimentary tickets to shows and events
• Employee Assistance Programme
• Annual Professional Development Budget

Responsibilities

• Define product direction for a core PxT area in collaboration with producers and event organisers
• Prototype and validate ideas using AI tools and rapid experimentation
• Collaborate with engineering and design to ship platform features
• Translate customer and business needs into clear requirements and priorities
• Contribute to roadmap development and prioritisation across the PxT platform
• Track performance and outcomes with data to inform decisions
• Manage cross‑functional initiatives and keep stakeholders aligned
• Support lifecycle activities from discovery through delivery and iteration

Key requirements

• 5–8 years building products in high-growth environments
• Experience managing or mentoring product managers
• Strong builder mindset with a track record of launching and iterating products
• Excellent communication and strategic thinking, able to influence decisions
• Experience in live events, hospitality, marketplace, or premium consumer experiences (plus)
• Fluency with AI tools to accelerate research, prototyping, and execution
• Comfort working in fast-paced, cross-functional teams
• Familiarity with experimentation frameworks, A/B testing, or marketing technology (plus)

• strong communication
• strategic thinking
• cross-functional collaboration
• AI tools for prototyping and synthesis
• data-driven decision making
• experience with experimentation frameworks

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