About the role

This is the technical half of the Field Co-Selling Pod. You are paired with an Account Executive and together you work every opportunity from first technical conversation through workshop delivery and beyond. The AE owns the commercial relationship. You own the technical truth.

While there are click through demos, in fact you will contribute to creating more. The role also requires you to build sample applications from scratch using AI-assisted development tools like Cursor, tailor them to specific customer environments, and use them to show --- not tell --- how the 7SG Hybrid AI Platform solves real problems. You will learn by doing, alongside Neeloy and the engineering team, with real customer scenarios as your classroom.Describe the role and team the candidate will be joining

What you'll do

Two Modes. One SE.

Your work falls into two modes that run in parallel. Both are required from Day 1.

Mode 1: Pre-Sales Technical Engagement

You are the technical face of 7SG in every customer interaction that goes beyond qualification. When the AE brings an opportunity forward, you step in to understand the customer's AI deployment landscape, map their enterprise technology stack, and determine how to map to the 7SG Reference Architecture applies. You use this intelligence to support the AE with qualification accuracy and account timing.

This means understanding AI deployment and scaling approaches across a variety of environments: Private NVIDIA DGX and HGX clusters, AWS (Bedrock, SageMaker), Azure (Foundry, CoPilot Studio), GCP (Vertex AI), Salesforce Agentforce, Agent Bricks, and emerging agentic platforms. You don't need to be an expert in all of them on Day 1, certification in one is preferred, but you need to be genuinely curious about how enterprises actually run AI in production and committed to building depth fast.

Mode 2: Technical Enablement and Advocacy

You are not just a deal-support resource. You are an outbound technical voice for 7SG. This means creating content, speaking at events, publishing technical posts, and building relationships in the developer and AI infrastructure community. Evangelism and developer advocacy are part of the job --- not a side project.Describe the specific responsibilities and job functions of the role

Qualifications

• 1-3 years in a solutions engineering, sales engineering, technical consulting, or developer advocacy role at a B2B technology company.
• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical discipline.
• Holds or is actively pursuing at least one technical certification in a major AI or cloud platform (AWS, Azure, GCP, NVIDIA).
• Has built and delivered technical demos or proof-of-concept applications for customers --- can walk you through what they built, why, and what the customer did with it.
• Familiarity with at least one major enterprise data platform (Snowflake, Databricks, AWS data services, Azure data services) and can speak credibly to how data flows into AI workloads.
• Has used or is proficient with AI-assisted development tools (Cursor, GitHub Copilot, or similar) and can build working applications with them.
• Experience with or exposure to enterprise security, identity, or GRC platforms is preferred but not required.
• Has worked in or adjacent to enterprise technology --- AI, cloud, data infrastructure, or professional services.