One of the worlds leading telecos is pioneering voice Artificial Intelligence and has established a stand along company to delivery its new AI products. This company is based in central London and they now require a Product Manager with an AI background to drive innovation and commercialisation.

We are seeking an exceptional Product Manager with AI/Telecommunication expertise to join our new venture at the intersection of telecommunications and artificial intelligence. In this pivotal role, you will serve as the strategic leader driving our AI-native product vision. You will own the product roadmap for our innovative AI-powered Dialer and Assistant application, translating business requirements from partners into actionable engineering tasks while prioritizing features to deliver a highly engaging MVP within 6-9 months.

You will guide the application's evolution from an initial 'Reactive Assistant' to future 'Proactive' and 'Agentic' capabilities, collaborating closely with our Solution Architect, AI/ML Engineers, and telco integration teams. This position offers a unique opportunity to shape the future of voice communication by leveraging cutting-edge technologies, including end-to-end voice Large Multimodal Models (LMMs), voice personalization, and proprietary network-powered intelligence capabilities.

Key ResponsibilitiesProduct Strategy & Development

• Define, own, and articulate the product vision, strategy, and multi-phase roadmap for our voice AI solutions, prioritizing essential features for the AI MVP.
• Translate business requirements from partners into actionable engineering tasks.
• Own and meticulously manage the product backlog, writing detailed user stories and acceptance criteria for all features.
• Develop core features including AI-powered call pre-screening, post-call summaries, scam detection engine, and integrated telco benefits hub.
• Lead design document walk-throughs in review meetings, fostering a collaborative environment where ideas and challenges can be openly discussed.
• Establish clear ownership boundaries with the Solution Architect: you will own the "what" (product vision, user needs, feature prioritization) while they will own the "how" (technical architecture, system design).
  
  

• Own the data strategy for model training and improvement, including data acquisition, annotation, and quality assurance processes.
• Define and maintain AI evaluation frameworks and benchmarks for model performance (e.g., intent recognition accuracy, summary quality, scam detection precision/recall).
• Design user experiences that account for AI's non-deterministic nature, including error handling, confidence thresholds, and fallback mechanisms.
• Define the scope and safeguards for agentic AI capabilities, including user trust models and permission frameworks for AI actions taken on behalf of users.
• Work with engineers to establish testing and evaluation protocols specific to LLM-based products.
  
  

• Work directly with UX/UI designers to craft an intuitive user experience for voice-based interactions.
• Design voice personalization, emotional intelligence features, and sensitive onboarding flows like voice cloning consent.
• Conduct comprehensive market research to understand target audience pain points and existing solutions.
• Establish early user feedback loops, beta testing programs, and rapid user research cycles from scratch to capture the voice of the customer in this new venture.
• Analyze user feedback and usage data to inform product decisions and prioritize feature enhancements.
  
  

• Serve as the primary liaison between the engineering team and stakeholders, e.g., interim C-levels, CX, et al.
• Collaborate with engineering teams to define, track, and analyze success metrics and KPIs that measure product success and connect to shareholder value.
• Track metrics across user engagement, AI effectiveness, and tangible business impact, such as reduction in user-reported scam calls, increased engagement with telco-specific benefits, or direct impact on customer churn.
• Develop go-to-market strategies for voice AI products, working closely with marketing and sales teams.
  
  

• Bachelor's degree in Computer Science, Business, or related field; technical background preferred.
• 5+ years of experience as a Product Manager for consumer-facing (B2C) mobile applications.
• Proven experience shipping AI/ML-powered products, with a deep understanding of product development lifecycles for AI systems.
• Experience working in an entrepreneurial/start-up environment, including the ability to jump on topics outside of one's own scope to drive towards results.
• Demonstrated ability to translate business requirements into product features from day one of a new venture.
• Experience working in agile development environments and participating in technical design and architecture reviews.
• Proven track record of a driver mentality.
• Strong analytical skills and experience acting in a strongly data-driven manner for product decisioning.
• Excellent communication, presentation, and stakeholder management skills.
• Strong ability to define clear objectives and success metrics.
• Deep understanding of LLM-based product development, including prompt engineering, retrieval augmented generation, and model fine-tuning approaches.
• Experience defining data strategies for AI model training and improvement.
• Ability to establish evaluation frameworks and benchmarks for AI model performance.
• Experience designing products that handle non-deterministic AI outputs gracefully.
• Strong familiarity with voice AI technologies, including conversational AI, LLMs, speech recognition, and voice synthesis.
• Awareness of data privacy considerations and regulations relevant to voice AI products.
• Understanding of user experience design principles for voice interfaces and multimodal interactions.
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• Experience with voice AI solutions that leverage proactive and agentic capabilities.
• Familiarity with the legal and ethical considerations of AI, including data privacy regulations in key markets and responsible deployment of sensitive technologies like voice cloning.