AI Engineering Manager (Core AI Platform)

Responsibilities

• Own the technical roadmap for Front's AI platform, guiding strategic investments in AI by evaluating emerging techniques, making build-vs-buy decisions, and partnering with product and engineering leadership to prioritize the highest-leverage capabilities.
• Drive architectural decisions on AI infrastructure - LLM orchestration, RAG systems, model evaluation, prompt management - ensuring reliability, scalability, and developer ergonomics.
• Manage and grow a team of senior engineers, providing mentorship and career development while maintaining a high talent bar.
• Define and improve the interfaces between the AI platform and product feature teams, enabling autonomous and efficient execution across the organization.
• Contribute to engineering-wide initiatives as a member of Front's engineering management team.

Requirements

Must have:

• Deep technical fluency in AI/ML systems, particularly LLM-based applications, with the ability to evaluate trade-offs and guide architectural decisions alongside senior engineers.
• Track record of managing and scaling a team of senior/staff engineers through ambiguous, fast-moving problem spaces.
• Proven ability to guide strategic AI investments - evaluating emerging techniques, making build-vs-buy decisions, and directing team effort toward the highest-impact bets in a rapidly evolving space.

Should have:

• Strong cross-functional partnership skills to align AI platform capabilities with product needs across multiple teams.
• Ability to attract, develop, and retain top AI engineering talent in a competitive market.
• Experience building and operating AI/ML infrastructure or platform services in production at scale.

Nice to have:

• Founded or built a new team/function/capability from early stages.
• Experience at a B2B SaaS company applying AI to enterprise workflows.
• Background in developer experience or internal platform work that accelerated other engineering teams.