About this role
Plentific is seeking a Senior Product Manager to join the team at the London office on a hybrid basis. This role suits an experienced product professional with a strong background in B2B SaaS and AI-native product development who wants to solve complex real-world operational problems.
Role Overview
The Senior Product Manager will own a core product surface spanning diagnostics, intake, scheduling, status updates, and communications across web, mobile, messaging, WhatsApp, SMS, chatbot, and voice channels. Reporting directly to the Head of Product, this individual collaborates closely with design, engineering, data, operations, customer teams, and AI specialists. Responsibilities include utilizing agentic prototyping, defining quality gates for AI-powered experiences, turning user challenges into precise specifications, and determining when automation is production-ready.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Plentific is a property technology platform utilized by housing providers, local authorities, housing associations, asset managers, and contractors across the UK and Germany. The platform coordinates repairs, maintenance, and contractor workflows at scale by combining a marketplace, workflow automation, and operational analytics. Headquartered in London with engineering and operations across the UK and Germany, Plentific is backed by investors such as Highland Europe, Brookfield, Mubadala, RXR Digital Ventures, and Target Global.
How to Apply
Interested candidates should apply directly on the official Plentific careers page.
Skills and tech stack
Questions candidates ask
Where is this job located?
This role is based out of the London office on a hybrid work model, and candidates must be located in London with the right to work in the UK.
How many years of experience are required?
The position requires 6+ years of product management experience, including owning customer-facing product surfaces from discovery through to launch and iteration.
What technical AI knowledge is expected?
Candidates need a strong working knowledge of multimodal models, LLM capabilities and limitations, prompt engineering, tool calling, embeddings, RAG, AI observability, and agentic prototyping tools.
What benefits are included?
Benefits include private healthcare, 25 days of annual holiday with incremental increases, flexible working with options to work abroad, enhanced parental leave, life insurance, a pension scheme, and office perks like catered lunches and a fully stocked kitchen.
What type of domain experience is relevant?
Relevant domain experience includes B2B SaaS, marketplaces, workflows, healthtech, proptech, fintech, or other regulated and operational domains involving scheduling, logistics, case management, or field operations.