[FCF24] AI Vision - Presale Engineer

Job Summary:
As a Pre-Sales Engineer in our Computer Vision Product Center, you will
play a crucial role in driving the successful adoption and implementation of our
computer vision products. You will work closely with the Sales and Product teams to
understand client requirements, develop technical solutions, and demonstrate the value
of our products to potential customers. Your deep understanding of computer vision
technologies, strong technical acumen, and exceptional communication skills will be
essential in shaping customer engagements and ensuring customer satisfaction.
Key Responsibilities:
1. Technical Expertise: Develop a comprehensive understanding of our computer
vision products, including eKYC, Virtual Agent Videos Processing, and Intelligent
Documents Processing, and stay up-to-date with industry trends and
advancements.
2. Pre-Sales Support: Collaborate with the Sales team to identify potential
customers, lead technical discussions during sales meetings, and provide
technical expertise throughout the sales cycle.
3. Solution Design: Analyze customer needs and requirements, and design tailored
solutions that address their specific challenges, effectively leveraging our
computer vision products.
4. Proof of Concepts (PoCs): Create and deliver Proof of Concepts to demonstrate
the feasibility and value of our products in real-world scenarios. Will work with
products team.
5. Customer Engagement: Build and maintain strong relationships with prospective
clients, addressing their technical inquiries, and fostering trust in our solutions.
6. Collaboration: Work closely with cross-functional teams, including Product
Management, Engineering, and Research, to align on customer needs and
provide valuable input for product development.
7. Industry Events and Conferences: Represent the company at industry events and
conferences, showcasing our computer vision products, and networking with
potential clients.
Qualifications and Skills:
1. Proven experience as a Pre-Sales Engineer or a similar technical role in the
computer vision domain.
2. Have knowledge of computer vision technologies, machine learning, and deep
learning algorithms.
3. Hands-on experience with eKYC, Virtual Agent Videos Processing, or Intelligent
Documents Processing is highly desirable.
4. Excellent communication skills, both verbal and written, with the ability to
articulate complex technical concepts to non-technical stakeholders.
5. Strong analytical and problem-solving skills, with a customer-centric mindset.
6. Ability to work independently and as part of a team in a fast-paced, dynamic
environment.
7. Flexibility for occasional travel to customer sites and industry events.