Product Consultant - AI/ML/Cloud Products

skilled and customer-centric Product Consultant

Key Responsibilities

Product Demonstrations

• Deliver engaging demos showcasing the value of AI/ML/Cloud products.
• Highlight how solutions address specific customer pain points.

Customer Engagement

• Serve as the primary technical contact during pre-sales and post-sales phases.
• Customize demos and solutions based on customer requirements.

Technical Expertise

• Offer in-depth knowledge of product architecture, features, and use cases.
• Support integration of solutions into customer environments.

Solution Design

• Collaborate with customers to design tailored AI/ML/Cloud solutions.
• Develop proof-of-concepts (PoCs) to validate proposed approaches.

Pre-Sales Support

• Partner with sales teams to manage technical aspects of the sales cycle.
• Prepare and present proposals, RFPs, and technical documentation.

Feedback & Product Improvement

• Collect customer feedback and relay insights to product and engineering teams.
• Influence product roadmap through customer-driven insights.

Industry Awareness

• Stay current with trends in AI, ML, and Cloud technologies.
• Share best practices and insights with internal teams and clients.

Qualifications

Education

• Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field.

Experience

• 8+ years in product consulting, pre-sales, or technical customer-facing roles.
• Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with Cloud platforms (AWS, Azure, GCP).
• Proven ability to deliver technical presentations and demos.

Technical Skills

• Strong grasp of AI/ML algorithms and real-world applications.
• Proficiency in Cloud computing models (SaaS, PaaS, IaaS).
• Experience with data analytics, big data tools, and APIs.
• Knowledge of DevOps, CI/CD, and containerization (Docker, Kubernetes).

Soft Skills

• Excellent communication and presentation abilities.
• Strong analytical and problem-solving skills.
• Customer-first mindset with the ability to build trust and rapport.
• Comfortable working independently and in cross-functional teams.

Certifications (Preferred)

• AI/ML certifications (e.g., AWS Machine Learning Specialty, Google ML Engineer).
• Cloud certifications (e.g., AWS Solutions Architect, Azure AI Engineer).