AI Engineering Manager Job at Front (San Francisco)

Job Description

Front is the customer operations platform built for B2B complexity. Over 9,000 companies rely on Front to run their customer operations. AI is reshaping what's possible in this space, and Front is building the platform to deliver on that promise. At the center of this effort is our Core AI Platform team - a group of our strongest applied AI and engineering talent whose work underpins every AI-powered experience across the product. We're looking for an engineering leader to own this team and its outsized impact on Front's product and customers. The Core AI Platform team is responsible for three things: Building and maintaining the foundational AI infrastructure (LLM integrations, RAG pipelines, evaluation systems) that all product teams at Front rely on; Enabling product feature teams to ship AI-powered experiences quickly and reliably by providing well-abstracted, production-grade AI capabilities; Pushing the frontier on AI techniques and tooling so Front stays ahead of the rapid pace of change in AI/ML.

Job Responsibility

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

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
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

What we offer

Equity
Private health insurance, including plan options at no cost to employees
Paid parental leave
Flexible time off policy
Flexibility to work from home Monday and Friday, unless posted as a fully remote role
Mental health support with Workplace Options
Family planning support with Maven
$100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities
Wellness Days - Fronteers get an additional day off on months with no holidays
Winter Break - Our offices are closed from Christmas to New Year's Day!

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AI Engineering Manager

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