At Feeld, we are creating a world where everyone is more intimately connected to each other and themselves. We are building an inclusive, human-centred product and are looking for a Product Manager to become part our remote team and our mission to elevate the human experience of sexuality and relationships.
You will be responsible for driving the Web product roadmap at Feeld, helping more prospective members understand the value of Feeld and successfully move from web to app.
To be right for this role, you should have experience owning and delivering web product experiences, ideally in a consumer or growth-focused environment. You’ll be comfortable working autonomously, using data to make decisions, and partnering closely with Design, Engineering, Marketing and other stakeholders to move quickly from opportunity to impact.
This is a part-time (3 days per week) and fixed term contract position (6 months).
Applications for this role will close on 19 October 2026.
What you will do:
- Own the day-to-day product management of Feeld’s Web roadmap and backlog
- Translate strategic priorities and growth opportunities into clear product requirements, user stories and acceptance criteria
- Partner closely with Engineering and Design throughout discovery and delivery to define the right solution and scope
- Identify opportunities to improve conversion across the journey from landing on Feeld’s website through to installing and joining the app
- Work with Data to understand funnel performance, identify opportunities and establish clear success measures
- Develop and run experiments to improve conversion, engagement and overall web performance
- Partner with SEO, Brand and Marketing teams to ensure web experiences support acquisition campaigns, organic growth and the evolving Feeld brand
- Maintain a clear and prioritised backlog, balancing new opportunities, optimisation, bugs and technical improvements
- Manage dependencies, risks and trade-offs, ensuring stakeholders have visibility of progress and decisions
- Define launch plans, monitor performance after release and use learnings to inform subsequent iterations