Head of Technical Program Management, Applied AI

present of AI; Greater London; Hybrid; GBP 140,000 - 190,000; Full time

Job summary

LILT is seeking a Head of Technical Program Management for Applied AI to own delivery for AI lab customers, covering training data, evaluations and benchmark programs. You will lead senior delivery teams, scale operations, and build processes from scratch to ensure on-time, high-quality outcomes.

You will coach teams on capacity planning, manage escalations calmly, and maintain margins while communicating with researchers and executives.

Qualifications

• Experience leading large customer-facing delivery teams.
• Ability to build processes from scratch.
• Strong capability to manage deadlines, quality and margin.

Responsibilities

• Owns delivery for AI lab customers (training data, evaluations and benchmark programs).
• Leads large customer-facing delivery teams and scales operations.
• Coaches people, capacity planning, and escalations handling to ensure timely, high-quality delivery.

Job description

Head of Technical Program Management, Applied AI

This is a senior operating role that owns delivery for AI lab customers, covering training data, evaluations and benchmark programs. It asks for a leader who has run large customer-facing delivery teams, built processes from scratch, and held real responsibility for deadlines, quality and margin. A strong candidate mixes people coaching, capacity planning and calm handling of escalations, with enough technical grounding to talk with researchers.

How it fits the AI era

The work sits right at the point where AI models are built and tested, so the products being delivered are the data and checks that shape the models. AI tools can help with quality checks, such as using one model to grade another, and with automating reports and workflows. Judgment about customer needs, trust with executives, team building and deciding when quality is good enough stay human.

How it builds AI experience

Someone in this role would gain close, hands-on exposure to how leading AI labs test and train models, especially across languages and types of content like text, image, video and audio. At a translation and localization company, that means seeing how human experts and AI work together at scale. Candidates without this background can build it by running a small evaluation or annotation project and tracking quality measures like agreement between reviewers.

Worth showing

• Scaling delivery teams from scratch
• AI training data or evaluation delivery
• Quality systems and SLA ownership
• Capacity planning and margin control
• Executive customer escalation handling

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About LILT

LILT provides an AI-powered platform for enterprise translation and localization, per the company.

Tools mentioned: LLMs, Python, SQL, machine learning, Salesforce