GTM Acceleration, Technical Solutions

Vercel•Austin, NY

1d•Hybrid

About The Position

Vercel is seeking a GTM Acceleration, Technical Solutions professional to own the technical proof system for enterprise sales. This role involves building POC playbooks, reference architectures, and competitive frameworks to drive consistent technical wins and measure their impact on deal velocity, win rate, and proof quality. The existence of this role is driven by product surface growth, the increasing number of technical buyers, and the need to standardize proof processes to improve win rates and speed. The role may involve in-office anchor days in SF, NY, or Austin if located within commuting distance, or be fully remote otherwise.

Requirements

Distinguished performance as a Solutions Engineer (SE), including experience in complex deals.
Deep technical fluency in architecture, AI infrastructure, and competitor offerings.
Ability to build reference architectures and proof frameworks.
Systems thinker who builds scalable programs.
Builder mindset; ships v1 and iterates.
Cross-functional credibility across Sales, Product, Engineering.

Responsibilities

Own the Technical Proof System, including building POC playbooks for priority plays (Agent Platform, Composable Commerce, Web Performance, v0 Enterprise, AI Gateway), defining success criteria, and creating "POC in production" paths.
Standardize proof artifacts such as benchmarks, reference architectures, migration diagrams, and security responses.
Partner with Field Engineering to improve POC discipline and consistency.
Build Competitive Intelligence, including architecture-level positioning for competitors, defining win/loss scenarios, and building persona-specific problem libraries.
Translate Product to Field Readiness by converting launches into field-ready assets within one sprint.
Build the AE Technical Fluency Program to enable AEs to lead technical conversations.
Feed field insights back to Product and Engineering.
Raise the SE Org Floor by building structured technical discovery playbooks, defining technical stage gates, and running peer-led deal deconstructions.
Create coaching tools for SE managers.
Enable AI-Native Technical Selling by owning the technical narrative for AI products, building benchmarks and reference architectures for AI use cases, and defining migration paths.