Technical Specialist CRM

We are looking for a highly motivated, technically strong Technical Specialist to join our internal applications and platform engineering team. This individual will contribute to the design, development, and support of business-critical systems used by global stakeholders. The role spans CRM enhancement, mobile app development, and AI feature integration- requiring a mix of full-stack engineering, and cross-functional collaboration.

You’ll partner with our platform and Sales Tech teams to build scalable, secure, and maintainable tools that improve sales productivity and simplify business workflows.

Key Responsibilities

1. Application Development & Support

• Develop, optimize, and maintain internal web applications, including dashboards and internal CRM tooling.
• Contribute to backend logic and automation workflows.
• Design and maintain system integrations via RESTful APIs and ETL Workflows and automate data synchronization across platforms.
• Work closely with the platform team to ensure scalable architecture, robust monitoring, and secure deployments.

1. Mobile App Development

• Build and extend mobile app(s) to extend internal tool functionality to field users.
• Lead packaging, testing, and deployment of mobile apps to public or enterprise app stores.

1. AI & Workflow Automation

• Partner with internal stakeholders to prototype and implement AI-powered features, including natural language processing, retrieval-augmented generation (RAG), and smart suggestions within internal systems.
• Integrate vendor-led pilots and beta tools into internal workflows where applicable.

1. Collaboration & Operations

• Collaborate cross-functionally with analysts, sales ops, and engineering peers to translate business needs into well-scoped technical solutions.
• Respond to user support requests, conduct root cause analyses, and implement long-term fixes.
• Contribute to internal documentation, system diagrams, and knowledge transfer across the team.

Required Qualifications

• Bachelor’s degree (Master’s) or foreign equivalent in Computer Science or a related field (STEM).
• Strong problem-solving skills, ability to debug complex issues across stack layers.

Nice to Haves

• Proficiency in TypeScript and Python.
• Solid understanding of REST APIs, JSON, authentication protocols (OAuth2, API keys, etc.).
• Familiarity with mobile app development frameworks (e.g., React Native, Capacitor, or native Android/iOS).
• Understanding of AI/ML concepts, especially NLP or information retrieval techniques.
• Exposure to data governance, security, and enterprise architecture best practices.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

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.