Orium

• Support and mentor developers in designing and implementing project work, ensuring high-quality deliverables. • Collaborate with designers and Product Managers to estimate, prioritize, and plan work within an Agile framework. • Maintain transparency by proactively updating stakeholders on progress, risks, and technical decision-making. • Create clear and maintainable documentation and diagrams that communicate complex solutions to clients and teammates. • Engage directly with clients to understand requirements, provide updates, and address questions with clarity and professionalism. • Write clean, efficient, well-documented code following industry best practices. • Participate in code reviews to uphold high-quality, scalable, and consistent codebases. • Leverage modern AI-powered and agentic developer tools (e.g., Claude Code, Devin, GitHub Copilot, Codex) to improve velocity, quality, and creativity in problem-solving. • Evaluate when and how to apply AI-assisted development responsibly, balancing efficiency with sound engineering judgment. • Explore opportunities to integrate automation and AI into workflows (e.g., test generation, scaffolding, documentation, debugging assistance, architecture exploration). • Contribute to shaping Orium’s internal adoption of AI for software development and share learnings with the team.

• Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions. • Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems. • Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures. • Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience. • Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production. • Help evolve early implementations into more robust, maintainable, and production-ready systems. • Help establish and document patterns for reliability, observability, and safe failure in agentic workflows. • Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles. • Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability. • Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures. • Contribute to and document shared standards and patterns for AI-augmented systems at Orium. • Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

• Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions. • Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems. • Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures. • Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience. • Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production. • Help evolve early implementations into more robust, maintainable, and production-ready systems. • Help establish and document patterns for reliability, observability, and safe failure in agentic workflows. • Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles. • Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability. • Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures. • Contribute to and document shared standards and patterns for AI-augmented systems at Orium. • Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

• Serve as the primary delivery point of contact for clients, leading conversations related to timelines, budget, risks, and delivery health. • Build trusted relationships with client stakeholders, proactively managing expectations and navigating complex discussions. • Facilitate planning sessions and alignment workshops to ensure shared understanding of milestones, dependencies, and delivery commitments. • Provide transparent reporting on budget tracking, cost variance, and project health indicators. • Partner closely with Product Managers to ensure scope clarity while maintaining delivery predictability. • Lead end-to-end project execution from initiation through launch. • Own budget monitoring, resource alignment, and financial tracking throughout the engagement lifecycle. • Identify risks early, articulate impact, and drive timely mitigation strategies. • Guide cross-functional teams (Product, Design, Engineering, QA, Architecture) through Agile delivery frameworks. • Ensure consistent execution of Scrum ceremonies and delivery best practices. • Champion continuous improvement in delivery processes and methodologies across engagements. • Contribute to strengthening Orium’s delivery maturity and operational excellence.

Role Description Orium is entering a new phase of growth, where expanding and deepening existing client relationships is as critical as acquiring new ones. We’re hiring a Head of Accounts to define and lead how we grow, manage, and scale our current client portfolio. This is a strategic leadership role responsible for transforming account management into a disciplined, insight-driven, and AI-enabled function that consistently drives customer lifetime value. - Manage Account Managers and work closely with Delivery, Line of Business Owners, Marketing, and Sales leadership. - Ensure current accounts are actively managed, forecasted, and expanded. - Bring structure to how Orium grows existing relationships through account playbooks, expansion plans, quarterly forecasts, and bookings targets. - Must be a strong consultant, able to engage with clients' VPs of Digital or CTOs. - Comfortable leading strategic planning discussions and challenging client assumptions. - Core mandate to scale the practical use of AI across the account management function. Responsibilities - Personal Account Ownership: - Carry a personal portfolio of 5–8 priority accounts. - Drive expansion and renewal conversations at meaningful deal sizes ($200K–$500K+). - Model consultative selling and proactive commercial engagement. - Account Growth & Portfolio Strategy: - Own the strategy for growing Orium’s existing client portfolio. - Identify, prioritize, and drive expansion opportunities across accounts. - Establish account-level growth strategies for priority clients. - Monitor account health, client satisfaction, and delivery performance. - Frame AI as a driver of customer outcomes. - Account Operating Model & Playbooks: - Define and implement Orium’s account management playbooks. - Create a consistent operating rhythm for managing current accounts. - Improve visibility into account activity and pipeline. - AI-Enabled Account Management: - Design and implement an AI-enabled account management function. - Embed AI across account research, opportunity identification, and reporting. - Help connect AI initiatives within client accounts to measurable business outcomes. - Sales Operations for Current Accounts: - Own day-to-day sales operations for existing accounts. - Lead the account forecast process. - Ensure CRM data and account records are complete and accurate. - Team Leadership & Function Building: - Manage and develop the account management team. - Coach the team on consultative selling and proactive commercial engagement. - Set standards for account management excellence. Qualifications - Experience leading account management, client growth, or customer success. - Track record of growing existing enterprise accounts. - Experience owning bookings, forecasts, or revenue targets. - Strong understanding of account planning and relationship development. - Ability to create and operationalize playbooks and reporting. - Excellent communication skills with the ability to influence stakeholders. - Familiarity with CRM systems and sales reporting practices. Benefits - Expected Compensation (Canada): $130,000–$160,000 CAD annualized base salary. - Use of AI in Hiring: AI-enabled tools for candidate communications and scheduling. - Performance and Growth Expectations: Measured across multiple data points. - Committed to an Inclusive Workplace: Accommodations provided as per the Accessibility for Ontarians with Disabilities Act. - Committed to Social and Environmental Stewardship: Promoting a sustainable future.

• Support and mentor developers in designing and implementing project work, ensuring high-quality deliverables. • Collaborate with designers and Product Managers to estimate, prioritize, and plan work within an Agile framework. • Maintain transparency by proactively updating stakeholders on progress, risks, and technical decision-making. • Create clear and maintainable documentation and diagrams that communicate complex solutions to clients and teammates. • Engage directly with clients to understand requirements, provide updates, and address questions with clarity and professionalism. • Write clean, efficient, well-documented code following industry best practices. • Participate in code reviews to uphold high-quality, scalable, and consistent codebases. • Leverage modern AI-powered and agentic developer tools (e.g., Claude Code, Devin, GitHub Copilot, Codex) to improve velocity, quality, and creativity in problem-solving. • Evaluate when and how to apply AI-assisted development responsibly, balancing efficiency with sound engineering judgment. • Explore opportunities to integrate automation and AI into workflows (e.g., test generation, scaffolding, documentation, debugging assistance, architecture exploration). • Contribute to shaping Orium’s internal adoption of AI for software development and share learnings with the team.

• Serve as the primary point of contact for clients, guiding product vision, roadmap direction, and delivery priorities from discovery through launch. • Act as a strategic consultant, identifying opportunities, risks, and solutions that balance business goals, user value, technical reality, and budget. • Facilitate workshops, discovery sessions, and decision-making frameworks that build alignment across stakeholders. • Provide subject matter expertise in eCommerce, headless CMS, and modern digital platforms. • Travel Requirement: Occasional travel across the Americas to meet clients and partners. • Build and maintain clear, data-informed release plans and prioritization frameworks. • Own the product backlog, ensuring stories, acceptance criteria, dependencies, and constraints are well-defined and up to date. • Produce high-quality product requirements documentation, ensuring functional, non-functional, and data requirements are accurately captured. • Translate complex problems into clear, actionable steps for cross-functional teams. • Lead end-to-end delivery across discovery, requirements, backlog management, execution, acceptance, and launch preparation. • Collaborate closely with design, technology, and data teams to validate feasibility, clarify requirements, and ensure shared understanding. • Manage budgets and provide transparent forecasting, burn insights, and ROI-driven prioritization. • Facilitate delivery ceremonies and present progress, risks, and decisions to clients and internal leadership. • Navigate trade-offs across scope, schedule, budget, and quality, escalating with recommended paths forward.

• Facilitar ceremonias Scrum: Daily Stand-ups, Sprint Planning, Sprint Review y Retrospectives. • Asegurar la correcta implementación del marco de trabajo Scrum dentro del equipo. • Identificar, dar seguimiento y ayudar a remover impedimentos que afecten la entrega. • Colaborar estrechamente con el Product Owner para mantener un backlog claro, priorizado y listo para ejecución. • Promover la mejora continua mediante retrospectivas y seguimiento de acciones. • Dar visibilidad del progreso del equipo a través de métricas (velocidad, burndown, cumplimiento de objetivos). • Fomentar la autonomía, la colaboración y la comunicación efectiva dentro del equipo. • Apoyar la adopción de prácticas ágiles en la organización.

• Provide technical support for Order Management System (OMS) and Point of Sale (POS) systems, ensuring smooth operation and minimal downtime. • Collaborate with software engineering teams to develop and maintain APIs and middleware for seamless system data exchange. • Track and document support requests and incidents using a ticketing system, ensuring timely resolution and communication with stakeholders. • Analyze incident trends to identify recurring issues and recommend proactive measures to prevent future occurrences. • Work closely with software developers to validate changes, conduct regression testing, and ensure new functionalities meet business requirements. • Provide feedback on system improvements and collaborate on the development of new solutions to enhance retail operations.

• Collaborate with senior developers to design and implement features across front-end and back-end systems. • Work with designers and Product Managers to estimate and plan work within an Agile framework. • Communicate progress, risks, and technical considerations clearly with teammates. • Create and maintain documentation that supports shared understanding across the team. • Engage with clients alongside senior team members to support requirement gathering and demos. • Write clean, maintainable, well-structured code following industry best practices. • Participate in peer code reviews to help maintain high-quality, scalable codebases. • Use modern AI-powered developer tools (e.g., GitHub Copilot, Claude Code, Devin, Codex) to improve development efficiency and spark new approaches to problem-solving. • Apply responsible judgment in deciding when and how to use AI-assisted development tools. • Explore opportunities to incorporate automation and AI into workflows (e.g., test scaffolding, documentation generation, debugging assistance).