Manager, Partner AI Deployment Engineering (AWS)

TL;DR

Manager, Partner AI Deployment Engineering (AWS): Leading a team of AI Deployment Engineers to scale the production of generative AI applications for AWS-aligned partners with an accent on architectural guidance, technical strategy, and partner enablement. Focus on designing scalable deployment patterns, optimizing LLM application architectures, and driving API adoption growth within the AWS ecosystem.

Location: Hybrid in San Francisco (3 days/week in office). Relocation assistance is available.

Salary: $251,000 – $335,000 + Equity

Company

An AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Lead, mentor, and grow a team of AI Deployment Engineers supporting strategic AWS partner engagements.
• Define the operating model, engagement strategy, and technical priorities for the AWS Partner ADE pod.
• Guide partners and customers through the full AI implementation lifecycle, from solution design to production deployment.
• Collaborate with Product, Research, and Engineering teams to synthesize partner feedback into platform improvements.
• Develop scalable enablement frameworks, reference architectures, and repeatable deployment patterns.
• Serve as a senior technical escalation point for critical partner and customer engagements.

Requirements

• 8+ years of experience in technical customer-facing roles with enterprise organizations.
• 3+ years of experience leading high-performing technical teams in solutions or deployment engineering.
• Hands-on experience deploying Generative AI and traditional ML systems into production.
• Strong knowledge of AWS cloud infrastructure and modern cloud-native architectures.
• Technical depth in software engineering using Python, JavaScript, or TypeScript.
• Must be based in or be able to relocate to San Francisco to support the hybrid work model.

Culture & Benefits

• Hybrid work environment (3 days in office).
• Relocation assistance provided to new employees.
• Competitive compensation including equity.
• Opportunity to shape the future of AGI and enterprise AI adoption.
• Inclusive workplace committed to equal opportunity and diversity.