Engineering Manager (AI)

TL;DR

Engineering Manager (AI): Leading and growing a team responsible for the offline data stack underpinning AI safeguards, ensuring full portability across deployment environments and building privacy-preserving data interfaces. Focus on driving compliance with data regulations, managing privacy incident responses, and collaborating with product teams on zero data retention offerings.

Location: London, UK (hybrid, 25% in office). Visa sponsorship available.

Salary: £255,000–£325,000 GBP annually.

Company

hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems for the benefit of society.

What you will do

• Lead and grow an engineering team delivering data infrastructure and tooling for hirify.global's AI safeguards capabilities.
• Own the strategy and execution for porting the safeguards offline data stack, including PII storage, across new cloud and deployment environments.
• Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data constraints.
• Drive tooling and architecture decisions to maximize data retention within privacy and compliance requirements.
• Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g., HIPAA, EU privacy regulations).
• Collaborate closely with enterprise customers and product teams on zero data retention offerings, balancing safety needs with enterprise data contracts.

Requirements

• 4+ years of front-line engineering management experience.
• Track record of leading teams that build and operate data infrastructure at scale.
• Hands-on software engineering experience as an individual contributor prior to management.
• Strong understanding of data privacy principles, PII handling, and compliance frameworks.
• Comfortable driving technical decisions in an ambiguous, fast-moving environment.
• Experience working cross-functionally across infrastructure, product, and compliance or security teams.
• Clear and persuasive communication skills, both in writing and in person.

Nice to have

• Experience with multi-cloud or multi-region data portability, particularly in regulated environments.
• Built privacy-preserving data pipelines or interfaces for ML workloads.
• Experience with enterprise data contracts or zero data retention architectures.
• Explored novel approaches to data processing under strict access constraints.
• Passion for building diverse and inclusive teams.

Culture & Benefits

• Work as a single cohesive team on large-scale AI research efforts.
• Value impact, advancing long-term goals of steerable, trustworthy AI.
• View AI research as an empirical science, highly collaborative group.
• Offer competitive compensation and benefits, optional equity donation matching.
• Generous vacation and parental leave, flexible working hours.
• Lovely office space in San Francisco (note: job specific to London).