ABOUT THE ROLE 

ClearSource is looking for a Director of Innovation who has gone beyond experimenting with AI — someone who has shipped real products and tools powered by large language models (LLMs) inside a company. You will own our AI roadmap end-to-end: identifying high-impact use cases, building or overseeing the tools that bring them to life, and driving adoption across the business. 

This is a player-coach role. You will lead a small team while staying hands-on technically — scoping solutions, guiding architecture decisions, and rolling up your sleeves when needed. You report to a VP/SVP and will work cross-functionally with Operations, Technology, and Client Services to embed AI into the fabric of how ClearSource operates. 

WHAT YOU'LL DO 

Build & Ship AI Products 

• Lead the design, development, and deployment of LLM-powered tools — from internal automation to client-facing solutions. 

• Translate ambiguous business problems into scoped, buildable AI products with clear success metrics. 

• Own the full product lifecycle: ideation → prototype → pilot → scaled rollout. 

Lead a Small Team 

• Hire, manage, and develop a small team of AI engineers, analysts, or product specialists. 

• Set technical direction, prioritize the roadmap, and hold the team accountable to delivery timelines. 

• Foster a culture of fast experimentation — build, test, learn, iterate. 

Drive Organizational Adoption 

• Partner with department heads to identify where AI can reduce cost, improve quality, or create new value. 

• Build internal enablement programs so non-technical teams can leverage AI tools confidently. 

• Champion responsible AI practices — governance, bias awareness, data privacy, and security. 

Stay Ahead of the Curve 

• Monitor the LLM ecosystem (OpenAI, Anthropic, Google, open-source models) and evaluate new capabilities for business applicability. 

• Build and maintain relationships with key AI vendors and platform partners. 

• Report progress, ROI, and forward-looking strategy to senior leadership. 

WHAT WE'RE LOOKING FOR 

The most important thing: you have actually built and launched LLM-powered products inside a company — not just used AI tools, but built them. 

Required Experience 

• 5+ years in a product, engineering, or technology leadership role. 

• Demonstrated track record of shipping AI/LLM-based tools or products into production (not just proofs of concept). 

• Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, or open-source equivalents) and common orchestration frameworks (LangChain, LlamaIndex, or similar). 

• Experience managing or mentoring a technical team. 

• Ability to bridge the gap between technical implementation and business stakeholder communication. 

Preferred Experience 

• Background in BPO, contact center, or tech-services environments — you understand the operational context we work in. 

• Experience with RAG (Retrieval-Augmented Generation), fine-tuning, or prompt engineering at scale. 

• Familiarity with enterprise AI governance frameworks and responsible AI principles. 

• Prior work in a multi-geo or global team environment.