AI & Innovation Director
ClearSourceABOUT 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.