Engineering Manager, API Enterprise and Multicloud (AI)

TL;DR

Engineering Manager (AI): Leading the API Distributability team to transform the Claude API into a cloud-native, cross-cloud managed product for enterprise customers, with an accent on deployment architecture, data residency, and compliance certifications. Focus on setting technical direction, driving delivery, and partnering with stakeholders to define and execute the roadmap for enterprise revenue growth and global market expansion.

Location: Hybrid role based in San Francisco, CA or New York City, NY. Expected to be in office at least 25% of the time.

Salary: $405,000–$485,000 USD

Company

hirify.global's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.

What you will do

• Own all aspects of the API Distributability team, including hiring, performance management, and career development.
• Lead the technical strategy and delivery roadmap for transforming the Claude API into a cloud-native and cross-cloud API.
• Drive enterprise readiness end-to-end across the API, encompassing security, compliance, and operational capabilities.
• Partner with GTM, Legal, and enterprise customers to translate business and regulatory requirements into engineering priorities.
• Build and maintain strong cross-functional relationships with Infrastructure, Platform, Security, and Safeguards teams.
• Represent Distributability in API Engineering leadership forums and drive alignment on roadmap and resourcing.

Requirements

• 10+ years experience managing engineering teams, ideally building platforms, infrastructure, and enterprise-facing developer products.
• Track record of leading teams that deliver enterprise-grade, cloud-native products, ideally with exposure to compliance, security, or regulated environments.
• Understand the technical depth behind enterprise requirements such as cross-cloud deployment, private networking, and data residency.
• Strong communication and partnership skills with non-engineering stakeholders.
• Ability to build high-performing teams through clear expectations and investment in engineer growth.
• Operate effectively at the intersection of technical complexity and business urgency.

Culture & Benefits

• Work as a single cohesive team on large-scale, high-impact AI research efforts.
• Value advancing long-term goals of steerable, trustworthy AI through empirical science.
• Competitive compensation and benefits, including optional equity donation matching.
• Generous vacation and parental leave, with flexible working hours.
• Collaborative office space in San Francisco, CA.