Manager, Field Engineering – Post-sales (AI)

TL;DR

Manager, Field Engineering – Post-sales (AI): Leading and scaling a team of post-sales Field Engineers focused on customer onboarding, implementation, enablement, and long-term technical success with an accent on technical leadership, operational rigor, and cross-functional collaboration. Focus on coaching through complex deployments, establishing implementation methodologies, and driving adoption of AI-driven code review platform.

Location: Hybrid in Boston, MA

Company

Innovative R&D company building Gen AI-driven code reviewers for human-machine collaboration to boost software development efficiency and quality.

What you will do

• Lead, mentor, and grow a team of Field Engineers handling onboarding, implementation, and customer adoption
• Partner with Customer Success and Sales for seamless pre-to-post sales transitions
• Guide customers on deployment, configuration, integration, and optimization of hirify.global platform
• Coach team through technical escalations, architecture reviews, and complex environments
• Establish onboarding frameworks, technical health checks, and adoption best practices
• Drive enablement via trainings, workshops, and configuration reviews
• Act as escalation point coordinating with Product, Engineering, and Support
• Improve operations with documentation, playbooks, and tooling
• Recruit and develop Field Engineering talent
• Communicate customer feedback to influence product roadmap

Requirements

• 6+ years in customer-facing technical roles, including 2+ years leading Solutions Engineering, Customer Engineering, Technical Account Management, or Field Engineering teams
• Experience leading customer onboarding, implementation, or technical adoption for SaaS/developer products
• Strong technical background in software development tools, APIs, cloud infrastructure, and CI/CD platforms
• Experience managing technical escalations in production environments
• Demonstrated ability to coach and develop customer-facing technical teams
• Strong organizational, communication, and stakeholder management skills

Nice to have

• Experience with Kubernetes, Terraform, GitHub Actions, or modern DevOps tooling
• Supporting enterprise deployments in cloud/hybrid environments
• Familiarity with observability, developer productivity, or AI-native tooling
• Building implementation playbooks or customer enablement programs