AI Engineering Manager (Core AI Platform)

Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Over 9,000 companies rely on Front to run their customer operations, and AI is central to their future. Front is backed by Sequoia Capital and Salesforce Ventures, having raised $204M. It has received numerous Great Place to Work accolades.

Introduction

Front is a customer operations platform designed for B2B complexity, helping over 9,000 companies like Uber Freight, Navan, and Stripe manage customer relationships. We are seeking an experienced Engineering Manager to lead our Core AI Platform team, a pivotal group responsible for building the foundational AI infrastructure and enabling AI-powered experiences across our product.

Responsibilities

• Own the technical roadmap for Front's AI platform, guiding strategic investments by evaluating emerging techniques and making build-vs-buy decisions.
• Partner with product and engineering leadership to prioritize high-leverage capabilities.
• Drive architectural decisions for AI infrastructure, including LLM orchestration, RAG systems, model evaluation, and prompt management, ensuring reliability, scalability, and developer ergonomics.
• Manage and grow a team of senior AI engineers (applied AI and full-stack AI specialists), providing mentorship and career development.
• Define and improve interfaces between the AI platform and product feature teams to enable autonomous and efficient execution.
• 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.
• Proven track record of managing and scaling a team of senior/staff engineers in ambiguous, fast-moving problem spaces.
• Demonstrated ability to guide strategic AI investments, evaluating emerging techniques, making build-vs-buy decisions, and directing team effort toward high-impact initiatives.
• 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.
• Experience building and operating AI/ML infrastructure or platform services in production at scale.

Nice to Have

• Experience founding or building 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.

Benefits

• Competitive salary.
• Equity (post-series D & backed by leading VCs).
• Private health insurance, with no-cost options for employees.
• Paid parental leave.
• Flexible time off policy.
• Flexibility to work from home Monday and Friday (for non-fully remote roles).
• Mental health support with Workplace Options.
• Family planning support with Maven.
• $100 per month Lifestyle Stipend for fitness, health, wellness, and other activities.
• Wellness Days: an additional day off in months without holidays.
• Winter Break: offices closed from Christmas to New Year's Day.

About Company

Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Over 9,000 companies rely on Front to run their customer operations, and AI is central to their future. Front is backed by Sequoia Capital and Salesforce Ventures, having raised $204M. It has received numerous Great Place to Work accolades.

How to Apply

Apply directly through the provided application link.