Trafilea Tech E-commerce Group

Full-stack Engineer

• Lead the technical evolution of Trafilea’s checkout ecosystem, ensuring high performance, scalability, and reliability.
• Design and deliver new features across frontend, middleware, and core APIs (checkout, upselling, taxes).
• Drive architecture improvements, refactoring initiatives, and technical quality standards.
• Ensure platform performance, uptime, and monitoring (latency, error rates, quality gates).
• Partner with Product and Business teams to translate goals into scalable technical solutions.
• Lead agile delivery and promote engineering best practices within the team.
• Mentor engineers through code reviews, technical guidance, and knowledge sharing.

Tech Lead – Checkouts

Manager

• Owns the strategy + execution of new store openings
• Leads location selection, leases & vendor negotiations
• Manages P&L, pricing, assortment, and commercial performance
• Oversees store performance through Retail Specialists
• Partners closely with operators to ensure execution is on time
• Travels for store launches + performance visits
• Helps scale from 10 pilot stores → 50+ stores

Senior Retail Manager

Procurement

• Strengthen vendor partnerships and streamline production terms
• Manage vendor commercial terms (MOQ, FOB, lead time, payments)
• Track and validate production, QC reports, and certifications
• Maintain up-to-date vendor documentation and negotiation records
• Coordinate and monitor factory allocation, performance KPIs, and compliance
• Support cost benchmarking, quote comparison, and negotiation prep
• Oversee product development alignment with PD and QA teams
• Implement WIP (Work-in-Progress) tracking and performance dashboards
• Drive sourcing efficiency, data visibility, and risk assessment improvements
• Ensure on-time, quality delivery across factories and vendors
• Support IPO readiness through compliance and certification management

Sourcing & Production Lead, Chinese Speaking

• Strengthen vendor partnerships
• Streamline production terms
• Drive operational excellence across apparel categories
• Manage vendor commercial terms (MOQ, FOB, lead time, payments)
• Track and validate production, QC reports, and certifications
• Maintain up-to-date vendor documentation and negotiation records
• Coordinate and monitor factory allocation, performance KPIs, and compliance
• Support cost benchmarking, quote comparison, and negotiation prep
• Oversee product development alignment with PD and QA teams
• Implement WIP tracking and performance dashboards
• Drive sourcing efficiency, data visibility, and risk assessment improvements
• Ensure on-time, quality delivery across factories and vendors
• Support IPO readiness through compliance and certification management

Sourcing and Production Coordinator, Chinese Speaking

Financial Planning and Analysis

• Improve systems, automate reporting, and turn financial data into clear business insight
• Build and improve weekly and monthly P&L reporting, reforecasting, and business planning
• Analyze deviations vs plan, identify risks and opportunities, and drive actions, not just insights
• Create management-ready financial presentations covering P&L, KPIs, and cash burn
• Partner closely with Marketing, Operations, Leadership, Accounting, Treasury, and BI
• Improve FP&A processes end-to-end: clarity, speed, accuracy, automation
• Help establish a culture where every dollar spent is driven by the business plan

FP&A Specialist

Data Engineer

• Analysis, Design, implementation, and maintenance pipelines that produce business-critical data reliably and efficiently using cloud technologies.
• Develop new ETLs (Extract, Transform, Load), using the current Apache Airflow.
• Propose new initiatives to improve performance, scalability, reliability, and overall robustness.
• Collect, process, and clean data from different sources using Python & SQL.
• Work side by side with the main Architects and Developers to create and ensure best practices and guidelines are being used properly by all projects.
• Assess and communicate effectively the effort for required developments.
• Discover new data sources to improve new and existing data pipelines.
• Be in charge of building and maintaining data pipelines and data models for new and existing projects.
• Maintain detailed documentation of your work and changes to support data quality and governance.
• Provide feedback and expert points of view as needed to help all data initiatives in the company.
• Improve the quality of existing and new data processes (ETL), incorporating statistical process control, and creating alerts when anomalies are received from data sources at every step of the pipeline.
• Create benchmark control of execution times for every pipeline, to control and identify potential availability issues.

Senior Data Engineer, BI

• Analysis, Design, implementation, and maintenance pipelines that produce business-critical data reliably and efficiently using cloud technologies.
• Develop new ETLs (Extract, Transform, Load), using the current Apache Airflow .
• Propose new initiatives to improve performance, scalability, reliability, and overall robustness.
• Collect, process, and clean data from different sources using Python & SQL.
• Work side by side with the main Architects and Developers to create and ensure best practices and guidelines are being used properly by all projects.
• Assess and communicate effectively the effort for required developments.
• Discover new data sources to improve new and existing data pipelines.
• Be in charge of building and maintaining data pipelines and data models for new and existing projects.
• Maintain detailed documentation of your work and changes to support data quality and governance.
• Provide feedback and expert points of view as needed to help all data initiatives in the company.
• Improve the quality of existing and new data processes (ETL), incorporating statistical process control, and creating alerts when anomalies are received from data sources at every step of the pipeline.
• Create benchmark control of execution times for every pipeline, to control and identify potential availability issues.

Senior Data Engineer

Conversion Rate Optimizer

• Launch and scale high-performing campaigns across AppLovin, Unity, Taboola, and other non-social ad networks.
• Own budgeting, bidding, and testing to optimize efficiency and profitability.
• Run structured experiments across placements, creatives, and funnels — analyzing and iterating fast.
• Expand and diversify traffic sources beyond traditional paid social.
• Design and analyze A/B and multivariate tests across landing and checkout flows.
• Optimize for profit per visitor, balancing CVR, AOV, and margins.
• Apply CRO levers — urgency, social proof, pricing, personalization — to boost conversion.
• Lead creative decisions with data and conversion psychology.
• Identify winning hooks and formats while anticipating fatigue.
• Collaborate with creative teams to deliver high-impact, scalable assets.
• Analyze performance dashboards to pinpoint growth levers and bottlenecks.
• Share insights and next steps across teams.
• Balance short-term results with long-term, profitable growth.

Growth Marketer – Ad Networks, CRO Focus

Accounting Manager

• Own end-to-end accounting for assigned areas
• Execute month-end close with autonomy
• Ensure financial information is accurate, reliable, and audit-ready
• Actively identify risks, discrepancies, and improvement opportunities
• Help scale processes through automation and AI-enabled tools
• Work closely with the Accounting Lead and cross-functional teams
• Contribute directly to the financial integrity that supports Trafilea’s growth
• Full ownership of assigned balance sheet and P&L accounts
• End to end Preparation and maintenance of high-quality account reconciliations with strong analytical support
• Execution of month-end, quarter-end, and year-end close activities accurately and on time
• Investigation of discrepancies, root cause analysis, and proposal of corrective actions
• Management of assigned audit requests with minimal supervision
• Preparation and support of internal and external reporting requirements
• Maintenance of organized, audit-ready documentation and working papers
• Active contribution to process standardization, automation, and AI-driven improvements
• Collaboration with Treasury, Payroll, FP&A, and other stakeholders to resolve accounting matters

Senior Accounting Analyst

• Own the end-to-end CRO thought process: problem identification → hypothesis → prioritization → alignment → execution → analysis.
• Detect conversion leaks across funnels (landing pages, PDPs, checkout, quizzes, pricing, messaging).
• Define clear hypotheses grounded in data + qualitative insights, not opinions.
• Prioritize tests based on expected business impact, not just ease of implementation.
• Act as the CRO reference point for Growth, Acquisition, Product, Creative and Data teams.
• Partner closely with Acquisition & Creative to ensure messaging alignment with on-site experience.
• Analyze behavioral data, funnels, test results and qualitative signals.

Senior CRO Specialist – Growth & Conversion Optimization

Backend Engineer

• Building and scaling purpose-driven, digitally native brands
• Working with a dynamic, diverse, and talented global team
• Investing in AI and automation
• Testing fast and helping to achieve growth

Fullstack Developer, Golang

Program Manager

• Lead and deliver AI projects and programs, ensuring alignment with business goals, timelines, and technical constraints.
• Manage end-to-end AI software product development, from experimentation to production and scaling.
• Define and maintain roadmaps, project plans, milestones, and cross-project dependencies.
• Identify and proactively manage risks specific to AI initiatives (data, models, infrastructure, compliance).
• Coordinate cross-functional teams (Data Science, ML Engineering, MLOps, Product, Platform).
• Oversee the structure of machine learning pipelines and ensure production readiness.
• Partner with MLOps teams to ensure scalability, reliability, and monitoring of models in production.
• Facilitate effective cross-team ceremonies and working sessions.
• Ensure delivery quality and alignment with PMO frameworks and governance.

AI Program Manager

Data Analyst

• Conduct deep-dive analyses on retention, repeat rate, churn, cohorts, LTV, and lifecycle KPIs
• Analyze customer behavior across the funnel (first purchase → repeat → loyal customer)
• Perform exploratory data analysis (EDA) to answer ad-hoc retention and lifecycle questions
• Identify drivers of churn and loyalty, delivering root-cause analysis with actionable recommendations
• Build and maintain cohort-based and predictive models (churn prediction, LTV forecasting)
• Design and analyze A/B tests and lifecycle experiments (email, SMS, loyalty, offers, timing)
• Support incrementality measurement for retention initiatives and CRM campaigns
• Create Python/SQL scripts to automate recurring retention and cohort reporting
• Build scalable data pipelines for customer lifecycle metrics
• Develop QA processes to ensure accuracy and consistency in customer-level data
• Translate retention and lifecycle business questions into technical analyses
• Present insights clearly to non-technical stakeholders (CRM, Marketing, Growth, Finance)
• Collaborate with BI, Growth, and Lifecycle teams to define metrics and dashboards
• Document retention methodologies, analyses, and models
• Mentor junior analysts on lifecycle analytics best practices
• Help establish analytical standards for retention and customer insights

Senior Data Analyst – Retention Focus

Marketing Operations

• Design and optimize automated lifecycle campaigns across Email, SMS, WhatsApp, and Push
• Map and standardize email templates and HTML structure
• Build a reusable automated campaign framework
• Set up at least 3 core automated use cases (welcome, abandonment, winback, etc.)
• Identify and expose customer attributes from Segment.io
• Improve deliverability, personalization, and performance
• Create documentation and train the team end-to-end on automation setup and deployment
• Work with Data, BI, and Engineering to ensure data quality and integrations
• Lead A/B testing and continuous optimization across journeys