• Own the international expansion roadmap for Merchant Central, phased by market: Canada first, then UK/EU, then determine what comes next. • Lead the integration of new strategic processors into Merchant Central from end to end—partner with Engineering on API specs, boarding flows, processor-specific configurations, local payment methods, and reconciliation • Research and document market requirements for each new geography: local payment methods, regulatory constraints, currency, language (ex French for Quebec), data residency, and compliance frameworks • Write detailed user stories, acceptance criteria, and bug reports for the delivery team—you own delivery and strategy • Manage the product backlog: groom, prioritize, and sequence work to keep the team moving with clarity on scope and dependencies • Run or actively participate in sprint ceremonies: planning, review, retrospectives; own delivery visibility for your roadmap • Define the go-to-market approach for each market launch: positioning, partner messaging, launch readiness checklist, and sales/channel enablement • Partner with Product Marketing to develop external-facing content and messaging for new geographies—you understand what makes Canada (or the UK) different and you help us say it clearly • Build competitive intelligence for each target market: who are the incumbents, what do ISOs and ISVs expect, and where does NMI have a differentiated angle • Partner with Legal, Compliance, and Finance on local licensing, data privacy (PIPEDA in Canada, GDPR in EU), tax treatment, and operational requirements • Define and track success metrics for each market launch: partner adoption, merchant volume, onboarding completion rates, and product utilization by geo • Use AI tools actively—market research, requirement synthesis, competitive analysis, documentation drafting—and bring that speed to your workflow

• Define and maintain product strategy aligned to pillar and organisational objectives • Develop, own, and communicate the product roadmap and other standard collateral to ensure all customer facing teams deliver consistent and accurate messaging, effectively communicating our value propositions in language that resonates with customers. • Ensure alignment between customer needs, market trends, and technical capabilities • Contribute to wider portfolio strategy and planning • Translate strategy into well-defined and commercially sound product backlogs and requirements • Ensure that products maximise revenue opportunities in terms of modularity – ensuring we can deploy at a range of price points and up-sell additional capabilities over time • Developing marketing strategies in collaboration with the Public Safety marketing team • Working closely with engineering teams to deliver high-quality software solutions • Prioritise features and enhancements based on value, risk, and opportunity • Track delivery progress and ensure alignment to agreed milestones • Support successful product launches and releases • Proactively manage the Product Lifecycle, communicating it regularly to the company and customers • Understand technology and keep abreast with the latest technology • Research competitors, relevant products, market trends and regularly update the product strategy to meet the best commercial outcome • Engage regularly with customers to understand needs, challenges, and behaviours • Gather and analyse feedback of usage data and market trends • Translate insights into product improvements and innovation opportunities • Identify and develop product enhancement opportunities to grow your product revenues • Explore and incorporate emerging technologies (including AI where relevant)

• Define the vision for an AI-native platform, prioritizing agentic architectures, multi-agent orchestration, and LLM-based workflows as core building blocks of Sherweb's growth. • Own the roadmap for agents, orchestration services, and AI workflows, balancing first-party agent experiences with third-party extensibility for partners and their vendors of choice. • Track the rapidly evolving landscape of foundation models, agent frameworks (MCP, A2A protocols), orchestration tooling, and competitor agent ecosystems, translating marketplace intelligence into strategy. • Collaborate closely with Marketing and Sales to develop action plans, communication strategies, and sales tools that clearly articulate the value and capabilities of an agentic platform and its integration ecosystem. • Engage clients (both internal & external), partners, and external vendors to capture agent workflow needs, drive integrations and extensibility, and promote responsible adoption. • Mentor peers and build organizational fluency in LLMs, agent design, evaluations, RAG, and responsible AI practices. • Analyze sales results, customer feedback, internal feedback, and AI-specific telemetry (model accuracy, latency, cost, adoption, and quality signals) to refine strategies, offerings, and customer satisfaction goals. • Represent Sherweb as a voice in the agentic AI and platform ecosystem space, championing responsible AI and an open, extensible vision.

• Manage the complete lifecycle of data products, from ideation and development to deployment, optimization, and continuous improvement. • Define and prioritize data product roadmaps, balancing business needs, technical feasibility, and stakeholder expectations. • Partner with cross-functional teams, including Data Engineers, Data Scientists, Analytics Specialists, and business stakeholders. • Understand data architectures, ETL/ELT pipelines, integrations, and analytics platforms to support product decisions and strategic direction. • Translate business needs into clear, actionable, and achievable requirements for technical teams. • Perform data profiling and analysis to identify patterns, relationships, and opportunities for value creation. • Define metrics, KPIs, and success criteria to measure the performance and impact of data products. • Validate solutions with users and stakeholders to ensure they meet business needs and expectations. • Foster a data-driven culture and support the adoption of AI and automation within team workflows. • Lead and influence cross-functional teams while supporting the growth and development of the professionals involved in data initiatives.