Here is the modified job description, shifting the focus from post-sales implementation (Customer Success) to pre-sales technical validation and deal-closing (Sales Engineering).

About the Role As a Sales Engineer, you will own the critical technical evaluation phase of the buyer's journey: Discovery, Demonstration, and Technical Validation. You will serve as the primary customer-facing technical expert, partnering with Account Executives to guide prospective customers and Managed Service Providers (MSPs) from their initial interest through custom demonstrations, Proof of Concepts (PoCs), and the ultimate "technical win."

You are a hybrid of a technical architect, a trusted advisor, and a sales professional. You will take the core value propositions built by our Product Marketing team and bring them to life for our prospects, ensuring they clearly see the platform's value and are confident in its ability to solve their business challenges.

What You'll Do Pre-Sales & Technical Validation

• Drive the Technical Win: Serve as the primary technical lead for all prospective customer engagements, ensuring our platform is the clear technical choice.
• Lead Deep-Dive Discovery: Partner with Account Executives on prospect calls to uncover technical requirements, business pain points, and current infrastructure setups.
• Deliver High-Impact Demos: Build and deliver tailored, compelling demonstrations of our AI platform that directly address the prospect's specific use cases and workflows.
• Execute Proof of Concepts (PoCs): Take hands-on ownership of scoping, provisioning, and guiding prospects through successful PoCs or technical evaluations, ensuring they hit their success criteria.

Sales Enablement & Solution Architecture

• Architect Solutions: Design workflows and technical solutions that show prospects exactly how our platform will integrate into and improve their (and their clients') daily operations.
• Overcome Objections: Act as the frontline technical expert to answer deep architectural, security, and integration questions to remove any friction in the buying process.
• Enable the Channel: Deliver technical pitches and "MSP Champion" pre-sales enablement sessions to help channel partners understand how to position and sell our AI solutions to their end-users.

Cross-Functional Collaboration

• Ensure Seamless Handoffs: Document the technical requirements, use cases, and deployment plans established during the sales cycle to ensure a smooth transition to the Customer Success and Implementation teams post-sale.
• Feedback Loop: Act as the voice of the market. Share on-the-ground prospect feedback, competitive intelligence, and feature requests with the Product and Engineering teams to help shape the roadmap.

What We're Looking For

• Experience: 3+ years in a Sales Engineering, Solutions Engineering, or Pre-Sales technical role within B2B SaaS.
• Demo Chops: A proven track record of delivering flawless, value-based software demonstrations and managing successful Proof of Concepts (PoCs).
• MSP Knowledge: Experience selling to or working with Managed Service Providers (MSPs) or channel partners is highly preferred.
• Sales Acumen: Strong understanding of sales methodologies and the ability to partner effectively with Account Executives to drive deals forward.
• Educator's Mindset: Highly comfortable presenting to both executive buyers and highly technical audiences, translating complex AI concepts into easy-to-understand business value.
• Problem Solver: Ability to think on your feet, handle difficult technical objections, and creatively architect solutions using our current product capabilities.

How Your Success Will Be Measured

• Technical Win Rate: Your ability to successfully secure the technical validation and approval from prospects during the sales cycle.
• Revenue Impact: Attainment of team or individual sales quotas and contribution to overall closed-won revenue.
• PoC Conversion: The speed and success rate of converting technical evaluations/PoCs into paying customers.
• Sales Cycle Velocity: Efficiency in moving prospects through the technical evaluation phases to shorten the overall time-to-close.