Senior Product Manager - Platform and AI

Cutting Edge Music Tech - On-Demand Vinyl Records

We are seeking a Senior Product Manager – Platform and AI to help us redefine the music industry. elasticStage is building the world’s first on-demand vinyl and CD platform, unlocking physical music for the Digital Creator era. By 2030, there will be over 250 million music creators globally, most locked out of physical formats due to high minimum runs and operational complexity. elasticStage solves this through patented on-demand vinyl and CD manufacturing technology, powering a free-to-use platform where creators can produce and sell physical releases worldwide with no upfront costs or minimum quantities.

And we are scaling fast:

• 100,000+ creators are using the product within our first year of commercialisation.
• Aiming for 20X growth by 2027. 
• Partnerships with SoundCloud and Amuse (with more major partners to come!).
• Shipped to 79 countries. 
• 4.7★ on Trustpilot and Google.
• Recently raised a new funding, bringing the total capital raised to £30M.
• Moving to new office in Kings Cross.

As Senior Product Manager for Platform & AI, you will own the strategy and execution of the technical foundations that unlock elasticStage's next phase of growth: the partner-embedded model, AI-native release and commerce capabilities, and the platform infrastructure required to scale across languages, markets and distribution channels.

This is a role for a builder who is genuinely excited by technology. You will work at the frontier of how AI agents and LLMs are reshaping how physical music is created and distributed, and you will be the person at elasticStage who figures out what that means for our product. 

You will lead across three areas:

• For our partners in the music world, you will own our embedded model: the infrastructure that allows any partner to offer elasticStage's capabilities natively within their own products. This is central to elasticStage's path to 20X user growth by 2027.
• For AI & agents, you will define and build how creators and fans interact with elasticStage through AI-native surfaces, including agentic release flows where an LLM handles the end-to-end process of releasing a vinyl, and commerce integrations that allow fans to discover and purchase through AI-powered channels.
• For platform foundations, you will lead large-scale platform improvements, including full language localisation, AI-powered customer support, and the technical infrastructure needed to support growth without linear cost growth.

Before we can move fast on AI-native journeys and an embedded partner model, the foundations must be solid. A meaningful part of this role is doing that groundwork first: supporting in understanding what we have across data architecture, platform structure and engineering practices, identifying what needs to change, and putting the right structures in place to build on. The right candidate will see this as the interesting problem it is, not the preamble to the real work.

You will also play a central role in how elasticStage's engineering team operates, working closely with the engineering team to introduce structured agile practices, build product management rigour, and ensure the team is set up to execute at pace and quality.

We value intellectual curiosity, a strong builder mindset and practical experimentation. You will work closely with engineering to shape how AI is used across the product lifecycle to accelerate validation, increase velocity and reduce dependency on full engineering cycles, influencing both our tooling and how we build.

Responsibilities:

• Assess and help the engineering team define what needs to be true across data architecture, platform structure and engineering practices before we can scale, then lead the work to get us there.
• Own the platform and AI roadmap, balancing foundational investments with bold new product bets and maintaining a clear line of sight to commercial impact.
• Define and deliver AI-native creator journeys, including agentic flows where LLMs handle the end-to-end release process with minimal human input.
• Build the embedded partner model: the API and iframe infrastructure that allows distribution platforms and third-party services to offer elasticStage natively within their own products.
• Lead large-scale platform improvements, including full language localisation and AI-powered customer support, enabling growth without linear cost increases.
• Work closely with the Head of Engineering to embed structured agile practices, sharpen requirements and prioritisation, and raise the overall effectiveness of the software team.
• Align cross-functionally across Engineering, Growth, Operations and Data to sequence work sensibly and deliver measurable outcomes.