Head of Product (Consumer Privacy & Security Subscription Product)

We are looking for a highly systematic Head of Product to launch a new D2C subscription product in the consumer privacy and security space and build it into a category leader. You will work on a single product and be fully responsible for taking it from zero to one—market research, MVP definition, execution with the team, the acquisition funnel, and the end-to-end product experience—owning the product roadmap and working directly with the Managing Director.

You will own the full product lifecycle, from roadmap through to delivery, working hand-in-hand with engineering, UI design, data, and marketing—with AI tooling as a core part of your workflow. The bar is high and so is the upside—performance here is directly and significantly rewarded, and strong operators take on bigger scope fast.

Key Responsibilities

• Market Research & Competitive Intelligence: Own deep market, competitor, and audience research. Define the positioning, offer, and pricing hypothesis the product launches with, and keep monitoring the landscape post-launch to differentiate and maintain a sharp product edge.

• MVP Definition & Launch: Own the MVP end-to-end—scope, build plan, quality bar, and go-live readiness.

• Execution with the Team: Partner directly and daily with engineering. Write clear, technically rigorous requirements and specifications, participate in sprint planning and technical trade-off decisions, keep delivery fast and predictable.

• Acquisition Funnel: Build a high-converting acquisition funnel end-to-end—structure, copy, offer, and onboarding—working with acquisition, CRO, and marketing to align it with traffic and messaging.

• UI/UX & User Journey Ownership: Own the end-to-end user journey and its quality standards. Make critical UI/UX decisions, ensuring a cohesive, intuitive, high-converting experience across every module.

• Research & Data-Driven Decisions: Conduct continuous discovery with target users. Define product metrics, instrument analytics from day one, and turn qualitative and quantitative insights into well-scoped decisions and structured experiments.

• Monetisation & Retention Growth: Post-launch, own conversion, ARPU (D7/D30), and retention. Drive pricing and packaging experiments, build engagement loops, and act on drop-off points surfaced in cohort analysis.