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Senior Sales / Senior Account Executive - French speaker
Paris, Ile-de-France, France · Hybrid
Mid level
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Full-time
bachelor degree
Posted 9d ago
~40 hrs/week
Responsibilities
You will lead a team of 2 to 6 engineers in delivering high-quality AI projects for enterprise clients, managing both the technical architecture and the team's professional growth. You are responsible for the end-to-end delivery, including scope, timeline, and hands-on contributions to backend services and AI orchestration.
Requirements
The ideal candidate has proven experience leading small engineering teams and strong coding skills in Python, particularly with async and event-driven systems. You must be comfortable working directly with clients and possess a bachelor's degree in Computer Science or a related field.
Full job description
EggAI · Full-time · Remote (EU only)
The Role
You will lead a team of 2 to 6 engineers delivering an AI project for one of our enterprise clients. You are accountable for that delivery from the architecture to the timeline, passing through the quality standards.
Clients come to us because we work at the forefront of AI in the enterprise, and we deliver high quality solutions. You help implement our AI strategy alongside them — backend services, event-driven architectures and multi-agent systems in modern Python.
This is a hands-on lead role with a real management component. You write code, you own the technical direction, and you are also helping your engineers grow. The people management side has active support from EggAI's head of engineering whenever you need it — you are not left to figure out career conversations or difficult feedback on your own.
This is a remote position. We only accept candidates located in the EU.
What You'll Own
Delivery
Accountability for the delivery: scope, sequencing, technical decisions, quality and timeline
Working day to day with the client and with the project manager / product owner to turn what they need into a plan the team can execute
Being honest about estimates and risk, early
Leading the team
Lead, mentor and grow a team of 2 to 6 backend and AI engineers in a remote-first environment
Regular 1:1s, constructive feedback, and support for career development — with the head of engineering backing you up as needed
Raising the bar through code and design review
Technical direction
Drive architecture decisions for scalable, async-first Python systems
Make sure our engineering practices are actually followed — ADRs, TDRs, architecture principles, testing, documentation and security
Contribute hands-on to the critical services, APIs and AI orchestration paths
Ways of working
Run the team's rhythm: daily standups, planning, retrospectives
What We're Looking For
Proven experience leading small engineering teams (2-6 engineers) in a technical capacity, while remaining hands-on
Has been accountable for a delivery, not just for a codebase
Strong coding skills with deep knowledge of async programming and backend development
Experience with event-driven systems (Kafka, RabbitMQ, Redis streams), and relational databases (PostgreSQL)
Comfortable working directly with clients and with a project manager / product owner
Demonstrated ability to balance technical leadership with people management
Excellent communication skills — able to articulate technical concepts to both engineers and stakeholders
Strong problem-solving skills, technical rigor, and attention to detail
Experience working effectively in remote-first, distributed teams
Bachelor's degree (or equivalent) in Computer Science, Engineering, or related field
Nice to have
Experience with multi-agent systems, AI orchestration, or generative AI projects
Knowledge of cloud-native infrastructure (STACKIT, Azure, AWS, or GCP)
Track record of hiring, onboarding, and developing engineering talent
Contributions to open-source projects or participation in technical communities
About EggAI
EggAI is an enterprise-focused generative AI company on a mission to help large organizations move AI solutions from prototyping into production. We specialize in building safe, reliable, and scalable AI systems that deliver real business impact.
We work at the cutting edge of AI technology, implementing agentic systems, RAG (Retrieval-Augmented Generation) architectures, and autonomous AI agents that scale from task automation to workforce automation. Our proprietary frameworks—including the EggAI Meta Framework for agentic systems and EggAI Quality Flow for governance—power AI transformations at enterprise scale.
Based in Munich, Germany, we work with enterprise clients to build AI capability, deliver production-ready systems, and establish quality-controlled AI operations.
EggAI helps large enterprises move beyond AI prototyping to build scalable, secure, and high-quality AI solutions that deliver real business impact..
We provide both expert services and an open-source AI meta-framework to guide organizations in designing, implementing, and operating enterprise-grade AI platforms—ensuring flexibility while maintaining governance, compliance, and operational excellence. Unlike rigid vendor ecosystems, EggAI enables enterprises to integrate the best AI tools and libraries of choice without vendor lock-in.
Our open-source EggAI Meta-Framework provides structured guidance for assembling, operating, and maintaining enterprise-grade AI agent platforms—ensuring flexibility while maintaining governance, compliance, and operational excellence. Unlike rigid vendor ecosystems, EggAI allows organizations to integrate the best AI tools and libraries of choice without vendor lock-in.
With the EggAI Composable Tech-Stack, we help enterprises establish AI development and operations platforms that align with their technology strategy, security, and legacy systems. Our expert services guide organizations through a Plan, Build, Operate & Transfer approach—enabling them to create sustainable AI solutions that scale.
- Enterprise AI at Scale: From generative AI to classic AI models, we ensure that AI solutions meet the highest standards of reliability and compliance.
- Flexible & Future-Proof: A thin abstraction layer provides architectural best practices without sacrificing control over infrastructure or tools.
- Composable & Modular: Organizations retain full ownership while leveraging EggAI’s structured guidance on AI system design, orchestration, and automation.
- Beyond Prototyping: AI adoption often stalls after proof-of-concept. We ensure a smooth transition to secure, production-ready, and value-generating AI in enterprise environments.
Explore our open-source framework: https://github.com/eggai-tech/eggai
Offices: Prinzregentenstraße 61, Munich, Bavaria 81675, DE
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