AI Product Manager — Enterprise SaaS for Big Infrastructure (Remote)

nPlan; Greater London; Híbrido; GBP 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Flexible remote setup

Flexible working hours

Generous holiday allowance

Learning & Development budget

Health & Wellbeing support

Family leave

Shoreditch office visits 1–2 times per

Descripción de la vacante

nPlan is hiring a Product Manager to shape AI-driven product strategy for major infrastructure programs. You’ll own quarterly missions, prioritise unplanned work, and translate user needs into concrete scope for engineering, while communicating progress to the Senior Leadership Team.

You'll help design agents and workflows that read project context, propose actions, and eventually take automated steps with human oversight.

Formación

• Two-plus years owning a B2B or enterprise AI or SaaS product.
• The problems are hard and the path isn't always clear — you thrive in ambiguity.
• You communicate sharply and often to engineers, customers and leadership.

Responsabilidades

• Get close to customers: run user and buyer research and attend client meetings.
• Understand how people use the product: analyze usage and guide feature development.
• Work on technical detail with engineers: own detailed scoping and avoid repeated questions.
• Contribute to a monthly Product Day in the London office.
• Help people decide under uncertainty: shape risk and forecast decisions for executives.
• Please mention the word 'crane' in your application.

Conocimientos

B2B/enterprise product ownership

Ambiguity handling

Clear communication

LLMs / AI product development

Data fluency

Descripción del empleo

nPlan is hiring a Product Manager to shape AI-driven product strategy for major infrastructure programs. You’ll own quarterly missions, prioritise unplanned work, and translate user needs into concrete scope for engineering, while communicating progress to the Senior Leadership Team.

You'll help design agents and workflows that read project context, propose actions, and eventually take automated steps with human oversight.