What you will bring

5+ years of product management/ownership experience delivering products in Agile settings, with a robust focus on AI, machine learning, voice assistants, IVA/IVR, or contact centre technologies.

Expertise in natural language processing (NLP/NLU), speech recognition, text-to-speech, intent recognition, and their application across front-line channels.

Experience with API integrations, defining API consumption patterns, and partnering with engineering teams to connect AI agents to enterprise systems.

Strong track record of improving KPIs and hitting targets across customer experience, voice containment, call deflection, AHT, and cost optimization.

Experience using product analytics platforms, root-cause analysis, data-driven experimentation, and A/B testing to evaluate performance and drive post-implementation improvements.

Excellent communication and presentation skills,



with the expertise to translate complex AI and platform concepts into clear business rationale for executive audiences.

High degree of curiosity, resourcefulness, and accountability when tackling complex technical, platform, and operational challenges.

Cooperative mindset with the ability to solicit diverse perspectives (understanding the "why" and not just the "what") to align cross-functional teams around shared outcomes.

Preferred Skills

Direct experience with Google GECX, Google CCAI, or Google CES, including the design, delivery, optimization, or migration of conversational voice AI.

Hands-on experience with prompt engineering, AI Evals, AI operations, and red-teaming to improve model safety and reliability.

Experience with Python, scripting, or technical experimentation.

MBA or advanced degree.

📌 Product Owner, Ai Agents Toronto
🏢 Socket.dev
📍 Toronto