AI Product Manager

Visa Hunt; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Visa Hunt is seeking an AI Product Manager for Conversational AI to steer the strategy and rollout of voice-based AI solutions. The role focuses on owning the vision for automated customer interactions and driving adoption of advanced voice bots using Dialogflow CX.

You will oversee the end-to-end lifecycle, collaborate with data scientists, QA engineers, and stakeholder teams, and define success metrics like sentiment accuracy and containment rates.

Qualifications

• Minimum of 3+ years of work experience specifically within the AI field.
• Solid understanding of Machine Learning, Deep Learning, and NLP methodologies.
• Demonstrated experience in defining project scope, objectives, and technical deployment (MLOps).

Responsibilities

• Define and own the long-term product vision and roadmap for voice-based AI solutions.
• Lead full product lifecycle from ideation to deployment and optimization.
• Collaborate with Operations, CRM, and CX teams to translate pain points into automated AI workflows.

Skills

AI product

NLP

Cloud

MLOps

Dialogflow CX

Leadership

Cross-functional

Data analytics

Project management

Communication

Tools

Dialogflow CX

MLOps tooling

TensorFlow

Job description

AI Product Manager – Conversational AI (Voice & NLU)

Our client, a pioneer in innovative financial solutions, is seeking an AI Product Manager – Conversational AI to lead the strategic development and deployment of voice-based AI solutions. This role serves as an organization-wide leader, owning the vision for automated customer interactions and driving the adoption of sophisticated voice bot technology. The ideal candidate blends technical NLP expertise with product leadership to transform customer experience through automation.

Key Responsibilities

Product Strategy & Roadmap Ownership

• Strategic Vision: Define and own the long-term product vision and roadmap for voice-based conversational AI solutions, specifically leveraging Google Dialogflow.
• End-to-End Delivery: Lead the full product lifecycle from initial ideation and requirements gathering to deployment, scaling, and continuous optimization.
• Success Metrics: Define project scope and success metrics (e.g., containment rates, sentiment accuracy) to track the business impact of AI deployments.

Technical Oversight & Innovation

• NLU Configuration: Provide hands-on guidance on Dialogflow CX/NLU configurations, including the design of intents, entities, and complex fulfillment logic.
• Technical Guidance: Oversee data processing, model development, and deployment (MLOps) to ensure robust and scalable AI performance.
• Cloud Architecture: Navigate cloud-based data architectures to ensure seamless integration of VoiceBOTs into existing ecosystem infrastructures.

Stakeholder & Team Leadership

• Cross-Functional Management: Lead a specialized team of AI specialists, data scientists, and QA engineers to deliver high-quality conversational experiences.
• Business Alignment: Work closely with Operations, Collections, CRM, and CX teams to translate operational pain points into automated AI workflows.
• Advocacy: Act as the internal champion for AI, educating stakeholders on the capabilities and limitations of conversational technologies.

Requirements

Experience & Education

• Professional Tenure: Minimum of 3+ years of work experience specifically within the AI field.
• AI/ML Foundations: Solid understanding of Machine Learning, Deep Learning, and Natural Language Processing (NLP) methodologies.
• Lifecycle Knowledge: Demonstrated experience in defining project scope, objectives, and technical deployment (MLOps).

Technical Skills & Certifications

• Cloud Platforms: Familiarity with major cloud providers (GCP, Azure, or AWS).
• Preferred Credentials: Fundamental-level certifications such as Azure AI Fundamentals (AI-900) or GCP equivalents are highly considered.
• Tooling: Expertise in Dialogflow CX or similar Conversational AI platforms.

Core Competencies

• Leadership: Proven ability to manage cross-functional technical teams in a fast-paced environment.
• Communication: Ability to bridge the gap between complex AI technicalities and business-centric outcomes.
• Agility: A proactive mindset capable of navigating the rapidly evolving landscape of Generative and Conversational AI.

Originally posted on Himalayas