About H&L H&L POS (Hospitality & Leisure) is a leading provider of point-of-sale and integrated business management solutions purpose-built for the hospitality and food & beverage sectors. With more than 30 years of industry experience, H&L delivers flexible POS, back-of-house, inventory, workforce management and reporting systems that help hotels, pubs, restaurants, bars, clubs, cafés, liquor retailers and event venues operate efficiently and profitably. Our platform connects front-of-house sales with stock control and data management, supports online ordering, table service, reservations and advanced reporting, and integrates with more than 150 hospitality technology partners. H&L’s customer-centric approach and deep sector expertise enable operators to focus on delivering exceptional guest experiences while maintaining visibility, control and sustainable growth across their businesses. The Opportunity H&L is entering its next phase of growth. As a well-established hospitality technology provider with a strong customer base and a respected product suite, we have a significant opportunity to modernize how we operate and compete, and AI is at the center of that ambition. We are seeking a senior, hands-on product and AI leader to own both the evolution of our product platform and the practical integration of AI across the business. This is not a research or advisory role. It is a dual mandate: build and ship products that customers value and pay for, and deploy AI in ways that make H&L measurably faster, leaner, and more competitive. The Head of Product & AI Innovation Lead will work directly with the Managing Director and the leadership team to drive product strategy, validate and launch AI-powered features, redesign internal workflows, and deliver tangible business outcomes. Success in this role is measured by impact: product adoption, customer retention, margin improvement, and faster execution across the organization. Key Responsibilities 1. Product Strategy & Roadmap •       Own the end-to-end product strategy and roadmap, aligned with company objectives •       Drive product discovery and validation through structured customer research, rapid prototyping, and market testing •       Oversee the full product lifecycle from ideation through commercialization and scaling, with a clear prioritization framework •       Set strategic objectives and measurable success metrics for all product initiatives •       Balance the evolution of the core platform with client-specific custom development •       Establish capacity visibility across the product and engineering pipeline so that client commitments are made with confidence and delivery delays become the exception 2. AI-Powered Product Development •       Build working product solutions using AI as the primary execution medium, moving from problem framing to working solution without reliance on legacy SDLC rituals •       Rapidly prototype, iterate, and refine solutions to validate ideas early •       Conduct structured discoveries with customers to identify the highest-value opportunities; build a clear business case quantifying revenue uplift, cost savings, or retention impact before committing to development •       Leverage AI across the full development loop (requirements analysis, design exploration, implementation, and testing) to move faster and with greater precision •       Identify and develop new revenue streams driven by AI capabilities, evaluated on impact, feasibility, and learning velocity 3. Customer Engagement & Commercial Validation •       Engage directly with hospitality customers to understand operational challenges and validate product assumptions •       Measure and report on adoption, satisfaction, and commercial impact of new features •       Support pricing and packaging strategies for product offerings in partnership with Sales and the Managing Director 4. AI Innovation Lead Across the Organization •       Lead the cultural shift toward AI-first thinking across the organization: this is about fundamentally changing how people work, make decisions, and solve problems •       Establish clear expectations for AI adoption and embedding AI into day-to-day operating processes across every function and create practical enablement programs that meet people where they are •       Partner with team leaders across the business to set function-specific AI adoption goals, track progress, and create accountability 5. Internal AI Transformation •       Audit business functions for high-value automation opportunities and prioritize by impact, feasibility, and learning velocity •       Build and deploy working AI agents and automated workflows that eliminate repetitive manual work. Not plans or recommendations, but live solutions. •       Build AI capability across teams through hands-on enablement •       Define clear success metrics for every internal AI initiative across the business; report measurable outcomes 6. Cross-Functional AI Leadership & Organizational Alignment •       Act as the bridge between executive direction and ground-level product and engineering execution •       Collaborate closely with all functions to maintain alignment on product direction and delivery commitments •       Align teams around clearly defined AI business outcomes; influence through credibility, evidence, and shipped results rather than hierarchy •       Communicate product and AI strategy clearly and regularly to all stakeholders •       Represent H&L externally in discussions relating to product capability and AI innovation 7. People & Team Leadership •       Build, lead, and mentor a high-performing product team, instilling a culture of ownership, experimentation, and customer-centricity •       Hire, develop, and retain product talent; build a team capable of scaling with the Company’s ambitions •       Set clear performance expectations, conduct regular reviews, and actively support career development and progression •       Operate as a founder-like leader: take accountability for outcomes from ideation through to scale What This Role Is Not To set clear expectations: •       Not a backlog or roadmap-only role. This role builds, ships, and measures. •       Not a handoff-based product manager. Requirements do not get thrown over the fence to engineering •       Not a requirements writer detached from execution. You move from problem understanding to working solution •       Not an AI theorist or strategist disconnected from commercial impact. Every initiative must demonstrate measurable value •       This is a business transformation role with full commercial accountability. Bias toward action is non-negotiable Required Skills & Experience Technical & AI Capability •       Demonstrated ability to design, prototype, and ship working AI-enabled solutions in a commercial environment. •       Strong understanding of modern software architecture, APIs, cloud services, and AI/ML technologies and their practical applications •       Experience with agentic workflows, automation tooling, and AI governance frameworks •       Ability to think across systems, integrate multiple workflows, and engage engineering teams with precision Product & Commercial Acumen •       8+ years in product management or product leadership in B2B SaaS or enterprise software •       Experience managing both a core product roadmap and client-specific custom development, with the discipline to balance and prioritize across both •       Strong commercial instincts: you build business cases, deprioritize low-ROI work •       Familiarity with hospitality technology, POS systems, or adjacent verticals is an advantage •       Experience driving operational or digital transformation initiatives with measurable commercial outcomes Leadership & Communication •       Proven ability to drive change in established environments and influence across functions without formal authority •       Able to write a tight spec, run a sprint, hold engineering accountable to timelines, and communicate clearly to clients and executives •       Experience engaging directly with customers or end users; ability to explain AI systems clearly and responsibly •       Strong bias toward action: you ship things, measure them, and improve based on what you learn Success Profile The successful candidate will be: •       Commercially pragmatic and outcome-driven, motivated by measurable improvement rather than theoretical innovation •       Technically fluent yet business-focused, comfortable moving between a customer conversation and an engineering spec •       A confident decision-maker in environments with ambiguity and competing priorities •       Comfortable working across functional boundaries and influencing senior stakeholders •       A hands-on leader who models the bias toward action they expect from their team Why Join H&L This is an opportunity to lead a meaningful transformation within a well-established hospitality technology business at a genuine inflection point. AI has changed what is possible: in how software is built, what it can do for end users, and how businesses like H&L can operate. The role offers: •       Direct access to and support from the Managing Director and leadership team •       Real organizational scope: both product and internal transformation sit within this mandate •       A global customer base and a platform with decades of domain depth to build on •       A small, senior team where your decisions have outsized impact •       Competitive compensation and the opportunity to shape how AI is embedded across an entire operating model

• Partner with Sales, Customer Success, and Marketing to identify and prioritize high-leverage AI automation opportunities • Design, build, and deploy AI-enabled services and agent-based workflows end-to-end • Rapidly prototype solutions to validate value before committing to full production builds • Implement multi-step AI workflows with tool usage, data retrieval, and external system integration • Build and maintain API-driven backend services supporting AI-powered applications • Create frontend components and user interfaces that support AI workflows • Integrate AI systems with enterprise data platforms, CRM tools, and business systems • Design testing strategies to ensure AI outputs are accurate, reliable, and safe for production • Build observability, logging, and monitoring into AI services from the start • Ensure solutions meet security, compliance, and governance standards • Contribute to architectural reviews and help shape platform standards and best practices

• Collaborate closely with DataRobot customers to help them achieve their organization’s objectives with AI. • Work with public sector entities -- from the US Federal government, state and local institutions, and medical entities -- on diverse use cases. • Help technical and non-technical stakeholders identify areas to apply AI and work hand-in-hand with them to leverage DataRobot to meet their needs. • Use machine learning expertise to creatively define technical approaches to a wide array of prospect use cases. • Help build trust in DataRobot as an AI partner. • Lead data science implementation and help develop a Joint Success Plan (JSP). • Support customers with problem framing, data prep, scripting, model building, model deployment, model management, and output consumption. • Represent the DataRobot product to various personas across the customer organizations. • Influence customers through thought leadership by translating complex technical terms into business outcomes. • Act as a trusted advisor on AI across the customer lifecycle. • Act internally as the voice of the customer to the Product, informing the direction of future product feature development. • Present at conferences and/or help create other marketing content.

• Process incoming Resume Review requests within agreed turnaround times • Generate a structured written review using JobHire’s methodology + AI prompts • Check output quality: accuracy, consistency, tone, and actionable “before → after” rewrites • Record a short Loom video (~2 min) in English • Communicate with clients when clarification is needed (email/chat), using AI to speed up • Collect and synthesize user feedback; improve prompts, checklist, and methodology