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. We've developed a new technology to produce on-demand vinyl records and built a web platform that enables music creators to create and sell their products worldwide through our store at no cost. We partner with leading record labels, streaming services, digital providers, distributors, and iconic global artists to build a global solution for physical media, but most importantly, we give small and emerging artists frictionless access to offer vinyl and CDs to their fans through our innovative solution and planned production/fulfilment centres in Europe, the USA, and Asia. The vinyl market has grown over 20% yearly for the last 16 years, and CDs are growing again for the first time in two decades. By 2030, there will be nearly 200 million music creators worldwide (with AI accelerating this even further). Most would love to have their music on vinyl or CD for friends, family, and fans, many would happily buy a record for around $30 if accessible without high costs or minimums, which our scalable on-demand tech makes possible. elasticStage delivers easy, affordable access to this booming opportunity.

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.

Requirements

Core Product & Technical Experience

• 5+ years of product management experience in a consumer, marketplace or commerce context.
• Strong technical fluency: comfortable reading and writing technical specifications, engaging deeply with engineering teams, and making informed trade-offs between build approaches.
• Good to have, demonstrable experience in shipping API or integration products: you understand how to design for developer experience and build reliable, scalable interfaces.
• Experience delivering large, cross-functional platform projects (localisation, integrations, data infrastructure) to production.
• Experience assessing what a platform needs before it can scale, across data architecture, platform structure and engineering practices.

Growth, Commercial & AI Builder Mindset

• You think customer and commercial outcomes first.
• Able to define and own KPIs tied to business performance, with a clear hypothesis-driven approach to what you build and why.
• Genuine curiosity about AI and a hands-on approach to understanding new capabilities: you experiment with the latest models, tools and agent frameworks.
• Good to have: some experience evaluating or shipping AI-powered product features, ideally including LLM-based workflows, chatbots or agentic systems.
• Comfortable operating in ambiguity with a bias toward action: you can define a path forward even when the technology or the market is still evolving.
• SQL familiarity and strong analytical capability; you use data to inform prioritisation and measure impact.
• Strong communicator who can “lead without authority” and mobilise technical and non-technical stakeholders around priorities and trade-offs.

Benefits

What We Offer:

• Industry-Leading Salary Package: Enjoy a highly competitive salary package that rewards your expertise and hard work.
• Flexible time off: 25 days of paid holiday, a paid birthday off, and remote-friendly working.
• Comprehensive Pension Scheme: Secure your future with our robust pension scheme.
• Cutting-Edge Tech Office Environment: Work in a modern, tech-driven office environment equipped with the latest tools and technology.
• Medical Insurance: Protect yourself with our comprehensive medical insurance plan.

Work Location: 

• Enjoy a hybrid work model with the flexibility to work from home, while spending at least 3 days a week in our vibrant London, King's Cross office.