Pre-Sales Engineer

Pre-Sales Engineer (Solutions Architect)

Location: Remote (USA)

Compensation: $90,000 + Equity

Experience Level: 3 years +

About the Company:

Our client, a prominent force in the technology sector, is seeking a Solutions Architect with expertise in Pre-Sales Engineering. Founded in 2017, this company is a trailblazer in utilizing AI-powered predictive analytics to safeguard critical infrastructure globally, with a specific focus on the energy sector. Backed by leading investors, they collaborate with major players in the industry, leading with unparalleled accuracy in AI solutions.

Responsibilities:

• Act as the technical lead during the sales cycle, collaborating closely with the Account Executive to secure the technical win.
• Key responsibilities include technical scoping, conducting demos, and executing Proof of Concepts (POCs).
• Work closely with the Account Executive to understand client needs and align technical solutions with the company's cutting-edge AI-powered platform for the energy sector.
• Bridge the technical and business aspects of the sales process, emphasizing the advantages of AI in critical infrastructure within the energy sector.
• Showcase the value proposition of the company through compelling presentations, focusing on the platform's AI accuracy and predictive analytics capabilities.
• Offer technical expertise and support to clients throughout the sales journey.
• Collaborate with internal teams to ensure a seamless transition from sales to implementation.
• Stay abreast of industry trends in AI, ML, and tech solutions within the energy sector to enhance the sales approach.
• Continuously improve knowledge of the company's AI-powered platform.

Requirements:

• Demonstrated proficiency with a minimum of 4 years in Pre-Sales or Solution Engineering within a B2B technology software environment.
• Holds a relevant degree or equivalent.
• Proven success in supporting the sales team in selling advanced technology solutions to technical stakeholders throughout the sales process.
• Quick adaptability to understand and master intricate and innovative technologies and products.
• Excellent communication skills, both written and verbal.
• Ability to lead and collaborate with internal teams.
• Comfortable participating in technical discussions around AI and ML.

Note: Candidates must be authorized to work in the U.S. Visa sponsorship cannot be provided at this time.