Solutions Engineering Manager - AI-Driven Pre-Sales Lead

name; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Algolia, a leading AI Search platform, is seeking a Solutions Engineering Manager to lead the AMER SE team covering US, supporting Commercial & SMB SEs. You will coach, architect solutions, and drive pre-sales engagements.

You will collaborate with Sales, Customer Success, and Product, owning technical evaluations from discovery to close, and champion AI-driven insights to deliver measurable ROI for customers. The role demands hands-on leadership, strong communication, and travel up to 25%.

Qualifications

• 5+ years leading or coaching technical pre-sales teams in B2B SaaS.
• 5+ years as Solutions Engineer or Solutions Architect across SMB to Enterprise.
• Strong coding background in JavaScript, Java or Python.
• Expertise in modern web tech, AI/search applications and headless architectures.

Responsibilities

• Lead approximately 5 SEs across AMER and manage technical wins.
• Develop SEs to facilitate technical storytelling and drive pre-sales narratives.
• Own accountability for the technical evaluation across AMER deals from discovery to close.
• Collaborate with Sales leadership to align SE coverage and build joint pipeline.
• Coach SEs on consultative selling and mapping Algolia capabilities to ROI.
• Drive AI adoption to boost SE productivity and accelerate ramp and deal velocity.
• Partner with Product and R&D to channel field intelligence into the roadmap.
• Support quarterly quota attainment by achieving technical wins on new business.

Skills

Leadership

Pre-sales coaching

Technical storytelling

AI tooling adoption

Cross-functional collaboration

Quota attainment

Tools

JavaScript

Java

Python

Job description

Algolia, a leading AI Search platform, is seeking a Solutions Engineering Manager to lead the AMER SE team covering US, supporting Commercial & SMB SEs. You will coach, architect solutions, and drive pre-sales engagements.

You will collaborate with Sales, Customer Success, and Product, owning technical evaluations from discovery to close, and champion AI-driven insights to deliver measurable ROI for customers. The role demands hands-on leadership, strong communication, and travel up to 25%.