
Product Consultant
5 days ago
We are looking for a skilled and customer-centric Product Consultant with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and Cloud-based technologies. The ideal candidate will bring 68 years of experience in product consulting, pre-sales, or customer-facing technical roles.This role involves delivering impactful product demonstrations, understanding customer needs, and providing technical guidance to drive adoption and satisfaction of AI/ML/Cloud solutions.
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 Master's 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).
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