Europe Arbeitnow ·
full-timeSenior Product Manager
Plentific · London Office
About Us Plentific is a property technology platform used by housing providers, local authorities, housing associations, asset managers, and contractors across the UK and Germany to coordinate repairs, maintenance, and contractor workflows at scale. The platform combines a marketplace, workflow automation, and operational analytics, and is built to handle the volume and compliance demands of social housing, local authority property portfolios, and large-scale residential operations. We are headquartered in London, with engineering and operations across the UK and Germany. Our investors include Highland Europe, Brookfield, Mubadala, RXR Digital Ventures, and Target Global. We are growing the team to expand the platform's coverage across Europe and to integrate AI throughout the product and operating model. If you are interested in working on hard, real-world problems in a sector that has long been under-served by good software, we would like to hear from you. The Role We are hiring a Senior Product Manager to own a core product surface on our platform. This spans diagnostics, intake, scheduling, status updates, and communications across web, mobile, messaging, WhatsApp, SMS, chatbot, and voice channels, together with the hand-offs into the operational workflows behind them. You will sit in the Product team and report to the Head of Product. You will work closely with design, engineering, data, operations, customer teams, and AI specialists to build product experiences that are simple, reliable, and practical to operate. This is an AI-native product role. We expect you to use agentic prototyping and spec-driven product development as part of your normal workflow, and to judge which models fit a given problem: when a hosted commercial model is the right call, and when privacy, GDPR, or data-residency constraints mean an open-source model in our own cloud environment is better. You do not need to build these systems yourself, but you do need the technical understanding to navigate the trade-offs and direct the work. You will turn user problems into clear specs, define quality gates for AI-powered experiences, and decide when automation is ready for production. Key Responsibilities Product Strategy, Discovery, and Delivery Identify and model the jobs-to-be-done and workflows for users, providers, and operational teams, weighing operational constraints and commercial outcomes, and capture them as clear specs that engineering and design can act on. Prioritise work using product analytics, operational data, support contact drivers, customer commitments, and AI-readiness risk. Own the roadmap for the product suite, spanning diagnostics, scheduling, communications, chatbot, voice-agent, and self-service surfaces. Lead discovery with users, housing providers, customer teams, operations, and internal users. Translate ambiguous service problems into sequenced bets, measurable outcomes, and crisp trade-offs for senior stakeholders. Own go-to-market for customer-facing launches: launch readiness, release sequencing, enablement, and internal and external launch communications with product marketing, customer, and operations teams. Align product, engineering, design, data, operations, customer success, implementation, and support teams around scope, launch readiness, and adoption. Improve user journeys that cross multiple operational systems, including issue classification, contractor availability, scheduling changes, notifications, and case escalation. Measure product outcomes through experiments, cohort analysis, operational metrics, qualitative research, and post-launch reviews. AI-Native Product Development Use agentic prototyping tools to test interaction patterns, conversation flows, scheduling logic, and multimodal diagnostics before committing engineering capacity, deciding whether a problem calls for straightforward automation, a copilot feature, a fully agentic workflow, or a mixture. Define specifications, acceptance criteria, and launch criteria for AI-powered product experiences. Build and own evals for these experiences: define what good output looks like, assemble eval sets that check outputs against the required format and quality, and use the results to improve the solution. Partner with engineering and AI specialists on LLM orchestration, tool calling, RAG, context management, prompt iteration, model selection, and cost-performance trade-offs. Design human-in-the-loop controls for cases where AI confidence, safety risk, or operational complexity requires escalation. Establish quality metrics for chatbots and voice agents, including task completion, containment, hand-off success, latency, retrieval precision, and hallucination rate, and account for how voice agents integrate with telephony and contact-centre tooling. Define the privacy, consent, auditability, and data-handling requirements for customer-facing AI features, especially where personal or sensitive data is involved. Work with Security, Legal, Pr
| Role | Senior Product Manager |
|---|---|
| Company | Plentific |
| Location | London Office |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
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