
51 - 200 employees
Founded 2006
🤝 B2B
📣 Marketing
🤖 Artificial Intelligence
B2B • Marketing • Artificial Intelligence
Intercept is an award-winning B2B marketing agency built for the global technology sector. Established in 2006, it helps large enterprise tech brands turn ambitious briefs into measurable go-to-market outcomes by combining proprietary buyer intelligence, AI-native production and campaign orchestration (InterceptOS), and experimental R&D (Intercept Labs). The firm specializes in account-based marketing, AI-powered content and personalization at scale, sales and channel enablement, and integrating privacy, legal, and governance for enterprise deployments.
🔥 17 hours ago
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51 - 200 employees
Founded 2006
🤝 B2B
📣 Marketing
🤖 Artificial Intelligence
B2B • Marketing • Artificial Intelligence
Intercept is an award-winning B2B marketing agency built for the global technology sector. Established in 2006, it helps large enterprise tech brands turn ambitious briefs into measurable go-to-market outcomes by combining proprietary buyer intelligence, AI-native production and campaign orchestration (InterceptOS), and experimental R&D (Intercept Labs). The firm specializes in account-based marketing, AI-powered content and personalization at scale, sales and channel enablement, and integrating privacy, legal, and governance for enterprise deployments.
• Own and improve internal systems, tooling, and frameworks so they remain reliable, documented, and easy to hand off • Strengthen continuity across Intercept's internal platforms and product systems • Build and operate in the Azure cloud stack as part of day-to-day engineering • Design, integrate, and harden AI-enabled tooling and workflows for internal platforms • Orchestrate frontier models and AI inference capacity for dependable AI workloads • Work with state-of-the-art AI agentic tools and establish practical AI engineering patterns with documentation and operational readiness • Partner with Technology leadership and cross-functional teammates on shared priorities • Apply engineering and security best practices to system design, development, and operations • Improve documentation, collaboration, and operational readiness • Maintain clear ownership, handoff paths, and maintainability across internal platforms as the company grows
• 5+ years of professional software engineering experience with ownership of production or internal systems • Experience with the Azure cloud stack • Hands-on experience building or operating AI-enabled software, including APIs, tooling, workflows, agents, or internal products that use frontier models • Experience with frontier model orchestration and/or AI inference capacity, including running, routing, or operating model workloads in production or internal platforms • Comfort with state-of-the-art AI agentic tools and working with a high degree of autonomy • Comfort working across evolving internal platforms, tooling, and frameworks, and improving operability and documentation • Clear written and verbal communication with engineers and non-engineers • Strong grounding in engineering and security best practices, including testing, operational readiness, least privilege, and secure handling of systems • Track record of professional and personal builds using AI or agentic coding workflows, with shipped work to demonstrate • Ability to work fluidly in a digital, cross-functional Technology environment
• Fully remote workplace • Collaborative and innovative environment • Flexibility to thrive both at home and at work • Certified Great Place to Work workplace
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