Jobs at Qogita

Own strategic seller relationships, lead and develop Account Managers, and drive seller activation, satisfaction, and GMV growth. Manage international supplier portfolios, analyze performance using BI tools, lead commercial and cross-functional initiatives, improve workflows through automation, and translate seller feedback into product and process recommendations. The role combines hands-on account management with team leadership and operational execution across Qogita’s marketplace supply organization.

Drive new buyer acquisition across Europe through high-volume outbound calls, email, and LinkedIn outreach. Prospect retailers, pharmacies, wholesalers, and distributors; qualify leads; book meetings; tailor messaging; maintain pipeline records in HubSpot; track outreach KPIs; and collaborate with Business Development and Growth teams to improve acquisition strategies.

Support the Supply Success team with supplier onboarding, CRM data maintenance, performance analysis, catalogue research, operational issue resolution, and process improvements. The intern will help maintain healthy supplier relationships and collaborate with Supply Growth, Marketing, Logistics, and Product teams. Strong organization, communication, analytical skills, and proficiency with Excel or Google Sheets are required.

Own data science initiatives across forecasting, classification, experimentation, recommendation, ranking, segmentation, and pricing. Develop and deploy predictive and econometric models for B2B buyer behavior and wholesale market dynamics. Design A/B tests, apply causal inference and regression techniques, collaborate with engineering on MLOps workflows, and communicate analytical recommendations and model limitations to Product, Finance, and Commercial stakeholders.

Own a product surface end to end, including strategy, specifications, delivery, and measurable outcomes. Analyze operational and commercial data, work closely with engineering, design, data science, and commercial teams, and validate decisions through direct observation of operations. The role focuses on wholesale procurement, pricing intelligence, catalogue trust, or buyer economics, with particular emphasis on automation, accuracy, auditability, and sound judgment under uncertainty.

Analyzes business, operational, and financial data to support leadership decisions and identify growth, savings, and performance opportunities. Builds financial models, defines metrics and SLAs, develops dashboards and business intelligence tools, diagnoses operational issues, and translates complex datasets into actionable recommendations. The role requires strong Excel and SQL skills, structured problem-solving, attention to detail, and comfort working in a fast-paced scale-up environment.

Own customer acquisition across European markets, including prospecting, stakeholder engagement, discovery, deal closing, proposition development, and pipeline management. The Account Executive will help define target customer profiles, build repeatable sales playbooks, report commercial performance, and establish market expansion foundations. The role requires multilingual communication, B2B sales experience, autonomy, and a demonstrated record of closing deals.

Own Qogita’s supplier growth function, including strategy, lead generation, procurement, pipeline, forecasting, and team performance. Build scalable systems, processes, compensation plans, and AI-enabled workflows to acquire high-value wholesalers and distributors. Lead and coach SDRs and Account Executives across mid-market and enterprise segments, using data, market sizing, and unit economics to drive supply quality and GMV growth.

Build and maintain production ELT pipelines, dbt data models, datasets, and metrics. Monitor pipeline reliability and data quality, resolve incidents, optimize query performance and warehouse costs, and improve schema and partitioning strategies. Develop internal tooling and documentation while partnering with Analytics, Product, Science, Engineering, and platform teams to deliver reliable, trusted data infrastructure.

Own end-to-end data science and machine learning systems, including predictive modeling, forecasting, ranking, and LLM-powered features. Design RAG architectures, evaluate and deploy language models, and maintain reliable production pipelines through MLOps practices. Collaborate with Product, Engineering, and Commercial stakeholders to translate business challenges into measurable ML solutions, while communicating model limitations and trade-offs clearly.

Own Meta and LinkedIn paid social strategy, media buying, creative development, audience targeting, testing, and performance analysis. Write ad scripts, hooks, and copy; conduct customer research; direct designers and video editors; experiment with AI-enabled creative production; optimize budgets toward CAC, LTV, payback, and quality signups; and communicate performance insights and recommendations.

Build and deploy predictive, analytical, forecasting, pricing, ranking, and recommendation models for a B2B wholesale marketplace. Apply econometric, machine learning, causal inference, and experimentation methods to understand pricing, demand, buyer behavior, and market dynamics. Collaborate with Engineering on MLOps workflows, communicate findings to business stakeholders, and provide quantitative guidance to Product, Finance, and Commercial teams.

Support B2B customer acquisition across Europe and the UK by converting sign-ups, reactivating prospects, qualifying leads, delivering sales pitches, managing follow-ups, closing deals, and maintaining CRM records in HubSpot. The internship also provides exposure to market research and venture building. The role is full-time and office-based in Amsterdam for six months, beginning September 2026.

Support brand partner acquisition by researching prospects, mapping decision-makers, assisting with outreach, qualifying leads, coordinating purchase orders, and maintaining HubSpot pipeline records. The role involves evaluating pricing, stock, SKUs, and demand signals, coordinating with logistics, and contributing to acquisition reporting for K-beauty suppliers.

Own B2B supplier acquisition across European markets, from prospecting and cold outreach through negotiation, closing, and onboarding. Manage the sales pipeline and CRM records, meet acquisition targets, collaborate with marketing and supply teams, and represent the company at trade shows and supplier visits. The role requires fluent English and French, strong full-cycle sales experience, C-level communication skills, and willingness to travel.

Supports supplier acquisition across Europe and the UK by qualifying prospects, conducting sales pitches and product demonstrations, facilitating onboarding, reactivating churned prospects, managing follow-ups, closing deals, and maintaining accurate pipeline records in HubSpot. The internship requires fluent English and Polish communication, customer-focused relationship building, and full-time office-based availability in Amsterdam for six months.

Own paid acquisition strategy across Google, Meta, and other digital channels. Manage budgets, campaigns, testing, tracking, creative production, and performance analysis, optimizing for CAC:LTV, payback, incrementality, repeat GMV, and contribution margin. Collaborate on ad creative and landing pages, conduct keyword research and copywriting, implement tracking, and provide actionable recommendations to senior leadership.

Supports logistics operations by tracking shipments, coordinating suppliers, resolving delivery issues, improving shipping and warehouse processes, monitoring performance metrics, and optimizing routes. The intern also contributes to cost-reduction and supply chain efficiency projects, provides operational support, identifies risks and opportunities, and recommends practical process improvements.

Own end-to-end data science and machine learning systems, spanning predictive modeling, forecasting, ranking, pricing, supplier matching, catalogue enrichment, and LLM-powered features. Design RAG architectures, evaluate and deploy language models, and maintain production ML systems through MLOps, monitoring, and alerting. Translate business needs into measurable ML solutions and collaborate with Product, Engineering, Commercial, and leadership stakeholders.