FYUL

• Design, build, and maintain scalable, high-quality software that is reliable, maintainable, and aligned with engineering best practices. • Improve engineering standards and drive initiatives that increase code quality and maintainability. • Design, build, and optimize distributed systems, cloud-native services, and scalable data pipelines. • Own complex technical initiatives from design through implementation, monitoring, debugging, and continuous optimization. • Improve system reliability by implementing monitoring, observability, automated health checks, and alerting. • Break down large initiatives into incremental deliverables that enable predictable execution and fast iteration. • Partner closely with Product and Design to understand customer problems, simplify technical solutions, and maximize business impact. • Make thoughtful technical decisions by balancing customer value, engineering quality, delivery speed, and long-term maintainability. • Mentor engineers through code reviews, technical guidance, onboarding, and knowledge sharing while contributing to a culture of continuous learning. • Collaborate across teams, proactively take ownership of ambiguous challenges, and contribute to larger engineering initiatives.

• Defining, owning, and continuously raising quality standards and acceptance criteria for digitization output across all production partners — both in-house facilities and outsourced fulfillment partners — acting as the internal authority on what "good" looks like. • Engaging with digitization partners on quality — assessing digitization output, running capability reviews, driving performance improvement, and evaluating alternatives where standards are not met; and working with in-house and partners production facilities on embroidery production quality outcomes. • Building and owning the quality measurement framework: identifying the KPIs and metrics that track EMB and digitization quality performance over time, and using data to drive decisions. • Creating digitization guidelines, SOPs, and technical briefs that internal teams and external partners can follow and be held accountable to — documentation that works without hand-holding. • Identifying and driving improvements to how merchants and customers engage with embroidery — design tool guidance, pre-submission quality checks, and AI-assisted tooling to surface issues before they reach production. • Collaborating cross-functionally with Operations, Merchant Success, and Product/Tech teams to align on quality initiatives and embed standards into tooling and processes.

• Define and lead a compelling product strategy aligned with company goals and customer needs, translating it into clear priorities, roadmaps, success metrics, and execution plans. • Own product outcomes across the full customer journey, ensuring the organization delivers measurable impact on activation, conversion, retention, monetization, engagement, customer satisfaction, and long-term customer value. • Identify the highest-leverage opportunities to help merchants create, sell, manage, grow, and monetize more effectively while improving the buyer experience and transaction quality. • Balance short-term business impact with long-term platform scalability, customer experience quality, and strategic differentiation. • Develop a strong understanding of market trends, customer behavior, competitive dynamics, commerce workflows, and emerging technology shifts. • Lead the AI transformation agenda for the pillar, defining where AI can create step-change improvements in customer value, productivity, automation, and business performance. • Partner with engineering, data, design, research, operations, legal, and business stakeholders to ensure AI initiatives are technically feasible, ethically sound, measurable, and aligned with customer trust. • Build AI fluency across the product organization by shaping how teams discover AI opportunities, validate use cases, measure impact, and integrate AI into product development practices. • Create clarity and focus across a complex product area by establishing strong planning, prioritization, communication, and decision-making mechanisms. • Partner closely with engineering and design leadership to improve product quality, speed of delivery, technical scalability, and end-to-end customer experience consistency. • Act as a senior product leader across the company, aligning product direction with engineering, design, data, marketing, partnerships, operations, customer support, finance, legal, and commercial teams.

• Define and lead a compelling product strategy aligned with company goals and customer needs, translating it into clear priorities, roadmaps, success metrics, and execution plans. • Own product outcomes across the full customer journey, ensuring the organization delivers measurable impact on activation, conversion, retention, monetization, engagement, customer satisfaction, and long-term customer value. • Identify the highest-leverage opportunities to help merchants create, sell, manage, grow, and monetize more effectively, while also improving the buyer experience and transaction quality. • Balance short-term business impact with long-term platform scalability, customer experience quality, and strategic differentiation. • Develop a strong understanding of market trends, customer behavior, competitive dynamics, commerce workflows, and emerging technology shifts. • Lead the AI transformation agenda for the pillar, defining where AI can create step-change improvements in customer value, productivity, automation, and business performance. • Partner with engineering, data, design, research, operations, legal, and business stakeholders to ensure AI initiatives are technically feasible, ethically sound, measurable, and aligned with customer trust. • Set a high bar for customer understanding, product discovery, experimentation, and evidence-based decision-making. • Create clarity and focus across a complex product area by establishing strong planning, prioritization, communication, and decision-making mechanisms. • Act as a senior product leader across the company, aligning product direction with various teams such as engineering, design, and marketing.

• Build dashboards for clients to monitor their eStore. • Assist with project accounting by coordinating with respective project managers and generating reports and invoices for review. • Create data architectures, Stored Procedures, and Functions using programming languages. • Help prepare reports by collecting, analyzing, and summarizing account information and trends. • Audit to ensure accuracy of financial data. • Contribute to team effort by accomplishing related results as needed. • Protect the organization's value by keeping information confidential.

• Program Planning: Develop comprehensive program plans for multi-channel eCommerce programs aligned to the program vision, including scope, objectives, timelines, resources, and deliverables, ensuring alignment with company goals and client expectations. • Operational Excellence: Maintain rigorous organizational standards across all workstreams by establishing clear meeting agendas, documenting actionable follow-up notes, and ensuring project management tools are accurately updated to keep daily operations and projects on track. • Team Influencing: Influence and guide cross-functional teams, providing clear direction, setting expectations, and fostering a collaborative and productive work environment. • Resource Management: Allocate resources effectively, ensuring that team members have the tools, information, and support required to execute their tasks efficiently. • Risk Management: Identify potential risks and issues early in the project lifecycle, implementing mitigation strategies and contingency plans to minimize disruptions. • Progress Tracking: Monitor program progress, track milestones, and manage changes to scope or timelines, ensuring that programs are delivered on time and within resource management guidelines. • Stakeholder Communication: Regularly communicate project status, updates, and key milestones to internal and external stakeholders, ensuring transparency and managing expectations. • Quality Assurance: Implement quality control processes to ensure the service outcome meets or exceeds client expectations and industry standards. • Process Improvement: Continuously evaluate program management processes and methodologies, identifying opportunities for improvement and implementing best practices. • Client Engagement: Collaborate with account management teams to ensure client satisfaction, KPI achievement and provide updates on program progress.

• Plan, coordinate, and supervise all activities related to the design development, and implementation of organizational reporting and analytics • Maintain, support, and upgrade reports, dashboards, and data warehouse • Apply proven communication skills, problem solving skills, and knowledge of best practices to guide the team on issues related to the deployment of information and reports • Managing data warehouse and reporting infrastructure to help scale reporting needs while maintaining high-performance environment for reporting • Audit to ensure accuracy of financial data • Contribute to team effort by accomplishing related results as needed • Protect the organization's value by keeping information confidential

• Support the end-to-end refund, reprint, and overcharge recovery process – reviewing partner reports, reconciling against invoices and credits, and following up on outstanding items. • Validate partner issues and exclusions during month-end close to ensure accurate financial data distribution. • Prepare and distribute weekly and monthly reports to partners and internal stakeholders accurately and on schedule. • Support partner onboarding from a financial perspective – invoicing requirements, process documentation, and query handling. • Proactively identify bottlenecks, inefficiencies, and root causes in current Finance Ops processes. • Define, document, and implement process improvements – not just flag them. • Support process improvement initiatives – help test, implement, and document changes. • Review, improve, and maintain reporting views in Looker or similar BI dashboards. • Comfortable working in Jira to create, track, and escalate data and automation tickets. • Comfortable using AI tools to accelerate operational work - summarising reports, and speeding up recurring tasks. • Analyse data independently to identify trends, discrepancies, and areas for cost optimization. • Escalate data quality issues (product mapping, standardisation errors) to the Finance Data team with clear problem statements. • Contribute to reporting improvements - not just maintaining existing outputs.

• Serve as the primary owner of brand rules and brand voice configurations within the technology merchandising platform, ensuring all generated content accurately reflects brand standards • Monitor competitor ecommerce experiences and emerging AI merchandising trends to inform platform strategy and rule-set updates • Develop and document standard methodologies for configuring and maintaining merchandising outputs across all sales channels • Own end-to-end product cataloging leveraging the technology platform to build and enrich listings • Responsible for ensuring products are accurately set up, live on site, and optimized for discoverability and conversion — including complete and accurate product attributes, imagery, categorization, and metadata • Define, document, and continuously refine brand voice guidelines, tone parameters, and content rules that are input into the platform to ensure consistency across all consumer touchpoints • Leverage analytics and reporting dashboards to evaluate the performance of content, identify opportunities for rule optimization, and improve merchandising outcomes across product categories and sales channels • Conduct weekly reviews of product and category content to validate accuracy, brand alignment, and business relevance; adjust platform rules and inputs accordingly • Configure and manage product featuring, sort logic, and promotional rules across all digital sales channels • Partner with UX and development teams to apply data-driven navigation and taxonomy recommendations that improve discoverability and conversion • Review, edit, and approve product and website copy, providing structured feedback to refine brand rules in the platform and ensure outputs meet conversion and SEO goals • Maintain catalog data integrity across all channels, ensuring AI tool inputs (product attributes, metadata, categorization) are accurate and up to date • Regularly audit outputs on the site, identify errors or off-brand content, report findings, and collaborate with technical teams to refine platform rules and improve overall UX & conversion

• Lead, develop, and mentor a team of automation and software development engineers. • Foster an agile, collaborative culture centered on best software development practices. • Architect, develop, and maintain automations, internal business applications, and integrations connecting our IT platforms and business systems. • Bridge the gap between engineering rigor and decentralized development. • By using DevOps/SRE practices, build automated environments for both for internally-developed applications, as well as low-code platforms and vibe-coded applications used by other business units. • Stay hands-on with design, code, and reviews to provide leverage and unblock the team. • Ensure strong execution: clear priorities, predictable delivery, measurable outcomes. • Partner with business, security and engineering teams to align on requirements, standards and integrations