plentific - Senior Product Manager
Requirements
• 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 http://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. • Right to work in the United Kingdom.
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, Privacy, and customer stakeholders to agree guardrails for automated decisions, user communications, and autonomous workflows.
Benefits
• 25 days annual holiday, plus one additional day for every year served, up to a maximum of 5 additional days • Flexible working environment, including the option to work abroad • Private healthcare for you and your immediate family, with discounted gym membership and access to optical, dental, and private GP services • Enhanced parental leave • Employee assistance programme • Company volunteering day and charity salary-sacrifice scheme • Learning management system powered by Udemy • Referral bonus and charity donation when someone you introduce joins the company • Season ticket loan, Cycle to Work, electric vehicle, and Techscheme programmes • Pension scheme • Company-sponsored lunches, dinners, and social gatherings • Fully stocked kitchen with drinks, snacks, fruit, and breakfast cereals
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