
201 - 500 employees
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Introhive is a software company specialized in providing AI-powered client intelligence solutions for large, sales-focused B2B enterprises. The company's platform automates the capture and enrichment of client data, unlocking insights into networks of relationships and activities to drive growth and collaboration. Introhive aims to increase transparency, operationalize relationships, and enhance productivity by reducing manual data entry in CRM systems, empowering firms to achieve a more connected and client-centric organization. It is highly acclaimed by industry leaders and recognized for its customer intelligence capabilities by analysts such as Gartner and Forrester.
🔥 15 hours ago
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201 - 500 employees
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Introhive is a software company specialized in providing AI-powered client intelligence solutions for large, sales-focused B2B enterprises. The company's platform automates the capture and enrichment of client data, unlocking insights into networks of relationships and activities to drive growth and collaboration. Introhive aims to increase transparency, operationalize relationships, and enhance productivity by reducing manual data entry in CRM systems, empowering firms to achieve a more connected and client-centric organization. It is highly acclaimed by industry leaders and recognized for its customer intelligence capabilities by analysts such as Gartner and Forrester.
• Extend existing enterprise applications with new user interfaces and RESTful APIs that surface AI-powered capabilities to customers • Partner with ML engineers, UX designers, and product managers to translate model outputs and user requirements into production-ready features • Own features end to end, from database and API design through front-end implementation and deployment • Identify opportunities to optimize system architecture, performance, and scalability across the ML platform • Design and build internal tooling for deploying, testing, monitoring, and operating ML models and pipelines • Champion engineering best practices, including code reviews, testing strategies, documentation, and mentorship of junior engineers • Work with quality engineering to improve automated testing processes and application reliability • Contribute to technical roadmap discussions and translate business goals into architectural decisions • Work independently and collaboratively within the team
• University degree or equivalent in Computer Science, Software Engineering, or a related field • 7+ years of professional software development experience • Strong proficiency in at least one back-end language; Ruby/Rails experience is a plus; Python is used • Ability and desire to learn new languages and frameworks • Solid experience designing, building, and consuming RESTful APIs • Proficiency with modern front-end frameworks such as React, Vue, or Angular • Understanding of front-end performance best practices • Strong SQL development skills • Experience working with relational databases • Experience with source control tools such as Git • Experience with modern branching, PR, and code review workflows • Experience or exposure to Agile development methodology • Exposure to ML workflows, whether working alongside data scientists, integrating model APIs, or building ML-adjacent tooling • Familiarity with LLM-based systems and ML frameworks • Familiarity with the Model Context Protocol (MCP) • Experience with cloud data warehousing and analytics engineering, particularly Snowflake and dbt • Experience working in cloud environments such as AWS • Experience with containerization tools such as Docker and Kubernetes • Familiarity with CI/CD pipelines and DevOps practices
• Trusted, empowered, and supported work environment • Room to grow • Tools to succeed • Collaborative team support • Outcomes valued over hours • Curiosity valued over perfection • Collaboration valued over ego
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