ABOUT YOU

Buyer

• Work closely with the Design team to create and finalize collections for EDITED the label
• Manage sourcing and product development, including participation in style fittings
• Communicate and coordinate daily with international suppliers
• Set order quantities and retail prices
• Lead price negotiations to achieve seasonal profitability targets
• Analyze sales data and initiate in-season reorders based on product performance
• Contribute in-depth knowledge of the fashion market and strong organizational skills

Junior Buyer, Private Label

Product Manager

• Partner with C-level leadership to define the product roadmap and align features with business goals
• Gather and translate internal and external stakeholder needs into technical concepts
• Design end-to-end frontend and backend solutions spanning architecture, workflows, and UI
• Lead sprint planning with cross-functional teams
• Coordinate feature implementation across departments
• Remove blockers and protect engineering team focus
• Review design mockups and validate feature quality against client requirements

Senior Product Manager

Support Engineer

• Investigate technical issues reported by enterprise customers and trace symptoms to root cause
• Use Datadog logs, traces, metrics, and dashboards to diagnose issues across distributed services
• Read code across multiple repositories to verify hypotheses and trace request flows
• Query databases to confirm system state and reproduce issues
• Manage tickets through intake, resolution, and support-to-engineering escalation
• Communicate proactively with enterprise customers through structured updates, clear next steps, and expectation management
• Partner with engineering teams during escalations by providing clear issue framing and reproducible evidence
• Document findings, contribute to internal knowledge bases, and surface recurring patterns for systemic improvements
• Participate in rotational on-call coverage for high-severity incidents during evenings and weekends

Technical Support Engineer – Customer Support

• Investigate technical issues reported by enterprise customers and determine root causes
• Use Datadog logs, traces, metrics, and dashboards to diagnose issues across distributed services
• Read code across multiple repositories to verify hypotheses and trace request flows
• Query databases to confirm system state and reproduce issues
• Manage support tickets through intake, resolution, and the support-to-engineering escalation chain
• Communicate proactively with enterprise customers through structured updates, clear next steps, and expectation management
• Partner with engineering teams during escalations by framing issues, providing reproducible evidence, and advocating for customer impact
• Document findings, contribute to internal knowledge bases, and identify recurring patterns for systemic improvements
• Participate in rotational on-call coverage for high-severity incidents during evenings and weekends
• Own a technical domain within the platform and serve as the team reference point
• Develop and maintain investigation playbooks, runbooks, escalation paths, and knowledge-base content
• Analyze recurring failure patterns and advocate for customer-impacting platform fixes
• Evaluate and apply AI tooling to daily work and share effective approaches with the team
• Support onboarding of new team members and improve technical investigation and customer communication standards

Senior Technical Support Engineer – Customer Support

Analytics Engineer

• Take full ownership of supply data and turn it into reliable, analysis-ready datasets
• Partner with Data Scientists, Analysts, and Supply stakeholders to establish a clean source of truth
• Identify overlapping data needs across forecasts, optimisation, and reporting
• Create reusable mart tables
• Simplify data transformations for downstream teams
• Build and monitor Python and GCP pipelines
• Document schemas, lineage, and data contracts
• Manage IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks
• Mentor junior analysts and raise SQL skills across the Supply unit

Analytics Engineer – Supply Data Solutions

• Take full ownership of supply data and turn it into reliable, analysis-ready datasets
• Partner with Data Scientists, Analysts, and Supply stakeholders to establish a shared source of truth
• Identify overlapping data needs across forecasts, optimisation, and reporting
• Create reusable mart tables
• Simplify existing transformations to prevent duplicated downstream logic
• Build and monitor Python and GCP pipelines
• Document schemas, lineage, and data contracts
• Manage IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks
• Mentor junior analysts and improve SQL skills across the Supply team