Sales Engineer

We are seeking a Sales Engineer to join our expanding team and work with prospects to help them onboard and identify the value of cutting-edge generative AI solutions built on our modern technology stack. This role is ideal for a technical people’s person who is experienced in data engineering & passionate about the adoption of new Gen.Ai solutions.

A little about us: GigaSpaces is developing a pioneering eRAG (Enterprise Retrieval Augmented Generation), a technology that aims to enable LLMs to query structured enterprise data with human-level accuracy. We are on a mission to open up a whole new world of opportunities for enterprises and large organizations in the way they utilize AI solutions over their internal business data. Learn more about our eRAG initiative here. With offices in the US, Europe and Israel, GigaSpaces partners with IBM, Capgemini and Cognizant, and serves customers such as Morgan Stanley, Bank of America, CSX, Goldman Sachs, Société Générale, Credit Agricole, American Airlines, Avanza Bank, CLSA, Stellantis, and UBS.

This position is full time, hybrid and located in our main office in Herzliya.

Key Responsibilities

• Take technical ownership of prospect engagement during sales cycles.
• Perform technical qualification of opportunities together with sales reps
• Manage and execute RFx responses, coordinating efforts across R&D & Product.
• Maintain up-to-date product and domain expertise
• Maintain an ongoing relationship across marketing, product and R&D, providing feedback and representing the prospects internally.
• Solution Design & Demo Delivery: Tailor product demonstrations to address specific customer needs, ensuring prospects clearly understand the value of our solutions.
• Work hands-on with prospects and customers to demonstrate and communicate the value of our technology throughout the sales lifecycle, from demo to proof of concept to design to implementation
• Technical Expertise: Serve as the go-to expert on our product’s technical capabilities, architecture, and integrations.
• Customer Engagement: Build relationships with stakeholders, providing them with the confidence and knowledge to make informed purchasing decisions.
• Market Insights: Collect and relay customer feedback and market trends to the product and marketing teams to refine the offering.
• Evangelizing the product in the technical community.
  
  

• Must: Experience: 3-7 year's experience in a client-facing role as a Sales Engineer, Customer Success, Support or in Professional Cloud Services or tech startup environment.
• Must: Strong Data analysis skills, 3 years minimum of writing and debugging SQLs
• Must: Technical Knowledge: Familiarity with Cloud infrastructure, platform services & SaaS products, APIs, and integrations, Data bases, SQL Understanding of ML & GenAI technologies, familiarity & experience with Gen-AI prompt practices.
• Must: Communication Skills: Exceptional verbal and written communication skills, with the ability to simplify complex concepts for diverse audiences.
• Sales Acumen: Strong understanding of the SaaS & Cloud consumption-based sales cycle and how to align presales activities with closing deals & growing consumption.
• Strong Presentation skills – experience presenting to prospects and customer
• Problem-Solving: Ability to quickly understand customer challenges and articulate how the product solves them.
• Mindset: Entrepreneurial spirit, adaptability, and a willingness to navigate ambiguity in an early-stage environment. - a must
• High customer and service orientation, strong interpersonal skills
• Bachelor’s degree in engineering, or relevant technical discipline, or comparable professional experience.
• Must: Fluent English- Must, other languages – an advantage