Pre Post Sales Engineer

An award-winning Israeli SaaS scale-up recognized as the industry leader in AI-driven sales process management. Their platform empowers global organizations to optimize pricing, configuration, and quoting through sophisticated Machine Learning models.

Consistently ranked at the top of the RevOps category, the company combines a high-growth startup environment with a proven, market-leading product.

The company operates from a central tech hub and offers a dynamic, collaborative workspace.

The Role & Responsibilities

• Technical Leadership: Leading deep-dive technical demonstrations and tailored Proof of Concepts (POCs) that showcase the platform's strategic value.
• Solution Architecture: Actively engaging with potential leads to define their unique business needs and recommending custom platform configurations to streamline their sales processes.
• Sales Enablement: Serving as the core technical resource for the Sales team, addressing complex queries regarding platform capabilities, API integrations, and data security.
• Proposal Management: Owning the technical response for RFP/RFI requests, ensuring all requirements are met with precision and aligned with company standards.
• Cross-Functional Collaboration: Bridging the gap between the market and the lab by working closely with Product, Engineering, and Customer Success teams to align customer feedback with the product roadmap.
• Deal Acceleration: Identifying customer "pain points" and delivering high-impact value propositions to shorten enterprise sales cycles.

Requirements-

• Professional Experience: At least 3 years of experience as a Pre-Sales / Solutions Engineer specifically within the SaaS sector – Mandatory.
• Sales Acumen: Strong understanding of Enterprise Sales Cycles, with proven expertise in discovery, objection handling, and value-based selling – Mandatory.
• Technical Proficiency: Solid grasp of SaaS Architecture, API integrations, Billing systems, and deep familiarity with CRM platforms (e.g., Salesforce, HubSpot) – Mandatory.
• Proposal Mastery: Experience using RFP/RFI response software such as RFPIO or Loopio.
• Domain Expertise: Prior experience with CPQ systems or advanced Sales Enablement tools – Significant Advantage.
• Communication Excellence: Exceptional presentation skills with the ability to translate complex technical features into clear business benefits.
• Academic Background: Degree in Industrial Engineering, Computer Science, or a related field – Advantage.