AI Solutions Engineer - Pre-Sales, North America

synthesia; Austin (TX); On-site; USD 156,000 - 211,000; Full time

Job summary

Synthesia is seeking a Solutions Engineer to help build our pre-sales function in North America. As one of the first SEs, you will shape playbooks, tooling, and best practices while working with Account Executives, Customer Success, and Product Marketing to run discovery, demos, and POC scopes for deals.

You will be a trusted advisor focusing on the value customers gain from Synthesia, and bring field learnings back to Product. This is a founding role as we scale across North America.

Qualifications

• 2+ years in pre-sales or solutions engineering in a SaaS environment.
• Delivers standard demos aligned to discovery points and AE agenda.
• Applies solution designs and best practices to customer use cases.
• Identifies deal risks and escalates clearly to AE.
• Knowledge of MEDDPICC and Command of the Message helpful.
• Able to build internal networks across GTM functions.
• Familiarity with APIs, integrations, security/compliance basics.

Responsibilities

• Co-plan and support discovery calls with AE to understand requirements and challenges.
• Design repeatable demo methodologies showing Synthesia's value across Studio, Roleplay, or Interactive Avatars.
• Maintain working knowledge of Synthesia platform capabilities and roadmap.
• Deliver demos that tell a credible story and address customer problems.
• Identify technical objections and integration questions and route them with the AE.

Skills

Pre-sales experience

Demo delivery

Solution design

Customer storytelling

APIs & integrations

Job description

Synthesia is seeking a Solutions Engineer to help build our pre-sales function in North America. As one of the first SEs, you will shape playbooks, tooling, and best practices while working with Account Executives, Customer Success, and Product Marketing to run discovery, demos, and POC scopes for deals.

You will be a trusted advisor focusing on the value customers gain from Synthesia, and bring field learnings back to Product. This is a founding role as we scale across North America.