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Technical Product Lead, AI Email App

bjakcareerUnited KingdomActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

This position suits a highly technical professional with significant experience owning complex technical products and working with LLM-based systems. The Technical Product Lead, AI Email App role is located in the United Kingdom and involves leading the development of proactive, AI-native applications for global users.

Role Overview

The Technical Product Lead, AI Email App position at bjakcareer operates within the United Kingdom. This hands-on role sits at the intersection of user needs, engineering constraints, and model capabilities. The person in this position collaborates directly with machine learning and engineering teams to shape system behavior, define measurement standards, and drive continuous product improvement.

Key Responsibilities

Formulate end-to-end requirements for artificial intelligence capabilities covering model behavior, system performance, and user experience.
Translate technical constraints, evaluation results, and model capabilities into actionable product decisions.
Balance trade-offs involving cost, latency, quality, reliability, safety, and user experience.
Partner alongside client, backend, and machine learning engineers during system iteration, evaluation, and design.
Build and adapt evaluation frameworks encompassing offline metrics, human feedback, and online experiments.
Set explicit quality benchmarks and establish feedback loops for artificial intelligence experiences.
Direct execution using prioritization, technical judgment, and clear specifications.
Spot failure modes to guarantee that artificial intelligence systems respond predictably and recover smoothly.
Manage end-to-end product quality, focusing on trustworthiness, usefulness, correctness, and reliability.

Requirements

Possess robust computer science fundamentals along with system design abilities.
Demonstrate solid comprehension of modern machine learning and production behavior for artificial intelligence systems.
Exhibit comfort in reading technical architectures, evaluating technical designs, and collaborating closely with engineers.
Display strong intuition regarding model limitations, failure modes, evaluations, and hallucinations.
Bring substantial experience managing complex, technical products from end to end.
Offer hands-on familiarity with artificial intelligence-driven products, specifically large language model systems.
Show background in experimentation, model evaluation, AI system iteration, or prompting.
Demonstrate the capability to transform ambiguous problems into measurable outcomes, clear requirements, and actionable plans.
Exhibit sound judgment and decision-making skills when optimal answers remain unclear.
Demonstrate deep technical curiosity with a strong bias toward shipping, experimentation, and real-world learning.
Maintain the ability to constructively challenge researchers and engineers while fostering teamwork.
Operate with high ownership levels inside a fast-paced, zero-to-one setting.

Nice to Have

Experience deploying artificial intelligence-heavy consumer products.
Previous background working as an engineer or a deeply technical product manager.
Familiarity with establishing evaluation metrics for machine learning systems.
Intuition regarding failure handling and artificial intelligence user experience patterns.
Prior background operating within zero-to-one product environments.

Skills and Tools

Large Language Models (LLMs)
Machine Learning
System Design
Offline and Online Evaluation Frameworks
Prompting

About the Company

bjakcareer operates as a compact, high-talent-density, and hands-on organization where product leaders and engineers maintain broad ownership. The company focuses on developing proactive, AI-native applications for users globally without requiring complex prompting, aiming to bring intelligence to daily workflows, organization, and communication.

How to Apply

Candidates interested in this position should submit an application directly through the official company careers page.

Skills and tech stack

LLMMachine Learning

Questions candidates ask

Where is the Technical Product Lead, AI Email App role located?

The position is based in the United Kingdom.

What kind of hands-on experience is required for this role?

Applicants need hands-on experience with AI-powered products, specifically LLM-based systems, along with significant experience owning complex technical products end-to-end.

Is an engineering background mandatory?

While an engineering background is considered a strong plus, the primary requirement is the ability to reason deeply about both product outcomes and AI systems.

What does the interview process look like?

If there is a fit, candidates can expect between three and four interviews conducted via virtual meetings or onsite.

What is the primary mission of the company's product?

The mission is to build proactive, AI-native applications that bring intelligence to conversations, workflows, errands, and organizing with minimal to no prompting.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site