AI Features Engineering Manager | Remote + Relocation

remote work; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Relocation support

Flexible work from offices or remote

Healthcare Coverage

Education Budget

Wellness Budget

Vacation Policy

Job summary

Unknown is seeking an Engineering Manager for AI Business Features to lead a cross-functional engineering group, deliver end-to-end AI-powered features, and collaborate directly with Product, Data, and AI teams. The role demands hands-on technical depth to review architecture and influence design decisions without proxy involvement.

The team operates in short cycles, turning hypotheses into production and measuring results to scale or drop initiatives.

Qualifications

• Experience leading engineering teams (hiring, development, performance, and delivery management).
• Proven experience leading teams in AI, ML, or data-driven engineering environments; experience training models is a plus.
• Strong technical background with hands-on development experience and the ability to validate technical decisions independently.

Responsibilities

• Lead the engineering team across hiring, planning, task decomposition, process improvements, and cross-team collaboration.
• Own and drive the development of AI-powered products from concept to production.
• Ensure strong team performance and reliable, on-time delivery aligned with product and business goals.
• Partner closely with Product, Data, and AI teams to build impactful, user-centric solutions.
• Tackle complex technical and product challenges while maintaining high engineering quality standards.
• Shape the architecture, design, and implementation of scalable backend services and integrations.

Skills

Team leadership

AI/ML experience

Hands-on development

Cross-functional collaboration

Hiring experience

Communication

English communication

Job description

Unknown is seeking an Engineering Manager for AI Business Features to lead a cross-functional engineering group, deliver end-to-end AI-powered features, and collaborate directly with Product, Data, and AI teams. The role demands hands-on technical depth to review architecture and influence design decisions without proxy involvement.

The team operates in short cycles, turning hypotheses into production and measuring results to scale or drop initiatives.