Chief Technology Officer

About Flow Ecommerce

Flow Ecommerce is a startup focused on revolutionizing the ecommerce accelerator model by automating repetitive tasks traditionally requiring extensive human effort. Operating primarily across UK and European Amazon and other marketplaces, Flow handles direct stock purchases from brands and integrates marketplace and direct-to-consumer sales channels under a unified operational and financial model to optimize performance.

Role Overview

As the founding technology hire reporting directly to the founders, you will architect and build the core technological platform that powers Flow’s operations. This hands-on role covers the development of automated agents responsible for catalog ingestion, pricing, buy box monitoring, replenishment, listing compliance, and monitoring seller landscapes. You will create the essential data infrastructure aggregating marketplace APIs and logistics feeds, enabling dynamic cost-to-serve analytics by SKU, brand, and country.

The platform is designed to be multi-channel, extending beyond Amazon to other European marketplaces, TikTok Shop, and direct-to-consumer platforms without requiring full rebuilds. Operating within a small lean team funded internally by the founders, you will exercise sound build-versus-buy decisions and manage technology stack choices carefully with commercial discipline.

Key Responsibilities

• Design and implement the operational architecture including listing creation, pricing strategies, inventory replenishment, and compliance monitoring.
• Develop and maintain the data infrastructure integrating marketplace and logistics feeds for real-time, accurate analytics guiding operational decisions.
• Create scalable multi-channel solutions supporting marketplace expansion beyond Amazon.
• Make pragmatic build-versus-buy decisions to optimize cost, performance, and agility.
• Maintain observability and guardrails to ensure system reliability and cost efficiency.

Required Experience and Skills

• Proven experience designing, deploying, and operating agentic or large language model (LLM)-based AI systems critical to real-world operations.
• In-depth knowledge of Amazon SP-API, Ads data, buy box dynamics, pricing mechanisms, catalog/content management, and commercial ecommerce economics.
• Strong data engineering competencies including data warehousing, pipeline design, and commerce data modeling across products, inventory, orders, fees, and margins.
• Technical proficiency in backend development, AI/ML engineering, or cloud architecture with continued hands-on coding capability.
• Commercial acumen with a focus on contribution margin and cost-to-serve analysis.
• Comfort with early-stage startup environment characterized by ambiguity, limited resources, and rapid prioritization.

Preferred but Not Essential

• Background in ecommerce accelerators or aggregators.
• Experience with European marketplaces beyond Amazon, TikTok Shop, direct-to-consumer channels, Shopify, brand protection, MAP enforcement, and ERP integration.
• Knowledge of German language or experience in DACH markets.

Qualities and Traits

This role requires a collaborative partner mindset rather than simply a hire. Success depends on a builder mentality, taking ownership and accountability early on, and thriving in a small, close-knit team environment with direct and continuous interaction. Candidates must share our culture of starting initiatives before complete readiness, balancing rapid experimentation with attention to critical details. We seek low ego individuals comfortable with open challenge and debate, motivated by meaningful equity ownership, and committed to learning and growth.

Additional Information

Location preference is Munich (Greater Munich Metropolitan Area), with London as an alternative. Compensation comprises a base salary, performance-based bonus, and meaningful equity, all negotiable based on experience and track record. The business is self-funded by the founders, without external investors or quarterly board pressures.

The hiring process includes multiple conversations, a thorough technical discussion on the candidate's architectural approach, full transparency on commercial terms upfront, and a paid trial project prior to any permanent offer.