Sales Engineer at InterSystems in Courbevoie, Île-de-France, FR

InterSystems Corporation, leading provider of data solutions (HealthShare - IRIS) for industries with critical needs like healthcare, is looking for a Junior Sales Engineer to join our French Sales Engineering team. The role requires a mixture of application development and deployment skills, hands-on coding and problem-solving, presentation skills, sales awareness, and business acumen. Occasional travels to customers will be involved.

Key Responsibilities:

• Coordinating with InterSystems' Account Representatives and all other departments to ensure a close, long-term relationship with our clients.
• Working closely with System Integrators and Project Managers, especially during the early stages of adoption and technically challenging projects, to ensure successful implementations.
• Recommending technical architectures, model design, development patterns, migration strategies, upgrade procedures, and operational best practices
• Designing, building, and presenting Proofs of Concept (PoCs) to prospects and partners
• Delivering standard and customized on-site training in a classroom environment
• Supporting our clients during beta test programs or pre-launch activities
• Supporting marketing activities at trade shows, conferences, seminars etc.
• Keeping up to date with InterSystems products and contemporary IT industry developments (including competitive products) and undertaking any relevant self-development or training.
• Creating prototypes and coordinating with product management to enhance product offerings based on client desires/needs.
• Writing competitive proposals, solution overviews, sales collateral, etc. to support pre-sale efforts.

Qualifications/ Nice-to-Haves:

• 2+ years of experience as a software developer or related role(s)
• Personal presence to establish yourself as a trusted advisor to development and delivery managers and senior architects.
• Outstanding interpersonal, communication, and presentation skills
• Collaborative, team-player attitude
• Strong technical and business writing skills
• Proven business analysis and problem-solving skills
• Demonstrated expertise in troubleshooting
• Demonstrated experience with most/all of the following:
  • Relational or non-relational databases using SQL or NoSQL
  • Data Engineering skills using Python
  • Modern Analytics architectures - Data Lakes /Data fabrics/Data mesh.
  • Machine Learning and Generative AI use cases
  • HTML, JavaScript, Angular
  • XML, XSLT, JSON, SOAP, REST
  • API Management
• Healthcare protocol experience (FHIR, HL7)
• Hands-on experience with Generative AI and LLMs (Mistral, Llama, OpenAI, Anthropic).
• Ability to deploy and demonstrate RAG, vector search, embeddings, and AI agents.
• Ability to translate AI innovations into compelling customer demonstrations and business outcomes.

Education & Training

• BS in Computer Science or equivalent technical degree

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About InterSystems

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

AI Disclaimer

InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.

Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience. AI tools and third-party transcription services must not be used during interviews or assessments.