Senior Product Manager, Plentific
Salary not provided
iOS
Android
Zapier
Senior and Expert level
London
More information about location
3+ days a week in office
Simpler, smarter property maintenance & management
Posted today
Simpler, smarter property maintenance & management
101-200 employees
PropertyB2BMarketplaceRentingReal EstateSaaS
Posted today
Salary not provided
iOS
Android
Zapier
Senior and Expert level
London
More information about location
3+ days a week in office
101-200 employees
PropertyB2BMarketplaceRentingReal EstateSaaS
Company mission
To help communities flourish with better, safer homes & access to better business opportunities.
Role
Who you are
- Product management experience in B2B SaaS, marketplace, workflow, healthtech, proptech, fintech, or another regulated or operational domain
- Demonstrable experience building native mobile app products, including ownership of a native iOS or Android app from discovery through release and ongoing iteration
- Demonstrable experience shipping AI-powered product features from prototype to production, including controlled rollout and post-launch iteration, ideally across conversational AI, voice agents and telephony, workflow automation, decision support, diagnostics, or intelligent self-service
- Strong working knowledge of multimodal models, LLM capabilities and limitations, prompt engineering, tool calling, embeddings, RAG, and AI observability
- Fluency with evals: defining what good output looks like, building eval sets to check that outputs meet the required format and quality, and using the results to improve the solution
- Hands-on fluency with agentic prototyping and AI-assisted product development tools, such as agentic IDEs and prompt-driven prototyping environments, used to produce testable prototypes
- Working knowledge of low-code automation platforms such as n8n, Tray.io, Workato, or Zapier, enough to prototype workflows, scope feasibility, and direct engineering, without owning production builds yourself
- Sound understanding of AI risk in production, including hallucination, retrieval failure, automation bias, latency, cost, drift, privacy, and human escalation
- Excellent written and verbal communication across technical, non-technical, and senior stakeholders
- High ambition and a strong bias for action, with the drive to deliver a large roadmap at pace and a positive, can-do attitude
- 6+ years of product management experience, including ownership of customer-facing product surfaces from discovery through launch and iteration
- Experience working closely with engineering, design, data, operations, customer success, and senior stakeholders
- Experience with products that involve scheduling, logistics, case management, customer support, field operations, regulated workflows, or high-volume service journeys
- Located in London and able to work from our London office on a hybrid basis
What the job involves
- 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
- 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, Privacy, and customer stakeholders to agree guardrails for automated decisions, user communications, and autonomous workflows
Application process
- Call with Talent
- Call with Hiring Manager
- Take home case study and presentation
- 30-minute long call with CPTO
Salary benchmarks
Our take
Plentific stands out as a technology-driven property management platform that enhances the digital experience offered by landlords to their tenants. Its platform reduces operational costs associated with repair and maintenance services and eliminates manual tasks by digitising processes. The company effectively links landlords with a growing network of vetted local tradespeople.
Initially targeting housing associations, local authorities, and large-scale landlords in the UK and Germany, Plentific addresses the pressing need for safe, affordable, and high-quality accommodation amid tightening budgets. The platform's reach is gradually expanding into additional sectors such as student housing, private landlords, and industries like sports, fitness, and hospitality.
In a market with a few competitors offering similar services, Plentific aims to differentiate itself by positioning its management platform as the premier distribution channel for tradespeople services. In 2026, it launched a real-time field service management tool to keep in line with evolving UK property law. It's smart moves like this which will keep Plentific ahead of the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Aug 2021
$100m
SERIES C
Nov 2019
$33.1m
SERIES B
Total funding: $144.8m
Company benefits
- Paid time off
- Life Insurance
- EAP Program
- Referral bonus scheme
- Learning and development fund
- Company volunteering day
- Flexible working environment
- Insurance package
- Regular gatherings and socials
- Tech scheme
- Pension scheme
- Season ticket loan
- Electric vehicle scheme
- Cycle to work scheme
Company values
- We're Human - We’re diverse and embracing of all cultures. We champion each other's success. We’re open and honest in our communications
- We're Together - We’re humble, we listen to and respect our teammates. We challenge each other, but when a decision is made, we all get behind it and deliver
- We're Exceptional - We bring our A-game. We aim to be the best at what we do. We step outside our boundary. If we recognise something needs to be done, we do it
- We're Pragmatic - We’re proactive and considerate in our approach. We value our others’ time, as well as our own. We’re positive in our thought process but honest about our limitations
- We're Client-centric - We are focussed on delivering the best outcome for our customers. We believe the impossible is possible, through dedication and focus
Company HQ
City of London, London, UK
Articles
Leadership
Cem Savas
(Co-Founder & CEO)Previously worked in investment banking at HSBC and Nomura.
Emre Kazan
(Co-Founder & CPTO)Has a PhD from Cambridge, worked in finance and banking at EY, Morgan Stanley and Nomura
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