Director of Engineering - SaaS Based AI Platform - $100K- $120K

As AI continues to evolve, every customer-facing function within the enterprise will undergo profound transformation. We believe the future of work will be built on the connective tissue that unites people, intelligent agents, and data enabling organizations to deliver deeply human, intuitive, and efficient experiences for both customers and employees.

Job Description Director of Engineering

We are looking for a seasoned technology leader who can drive the architecture, execution, and scaling of next-generation AI-powered products. The ideal candidate is equal parts strategic thinker, hands-on technologist, and people leader capable of operating in an environment where innovation, speed, and technical excellence are paramount.

Requirements

The successful candidate will demonstrate:

• Exceptional system design and architectural leadership , with experience shaping complex, distributed platforms end-to-end.
• Strong technical communication and presentation skills , enabling clear articulation of architectures, trade-offs, and engineering strategies across executive, customer, and cross-functional stakeholders.
• Proven ability to deliver ambitious, cutting-edge software initiatives , balancing execution speed with quality, reliability, and security.
• Leadership experience managing senior engineers , and the ability to scale an engineering organizationgrowing from individual contributors to a mix of leads, managers, and cross-functional pods.
• Up-to-date knowledge of Agentic AI and emerging AI systems , with an understanding of how these capabilities translate into real product innovation.
• Bachelors degree in Computer Science or equivalent technical discipline.

Preferred Skills / Nice to Have

• Hands-on coding proficiency with strong understanding of design patterns and production-grade development in Go, Java, or Python .
• Experience with real-time communications technologies , including SIP, WebRTC , or related protocols.
• Background in early-stage or mid-stage startups , with comfort navigating ambiguous, fast-changing environments and scaling teams, systems, and processes.
• Advanced degree (Masters / PhD) in Computer Science or related field.

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