Remote Technical Product Manager, AI Systems
A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. You work at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable behavior in a real-world application. While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.
Research and define end-to-end AI system requirements from capability to behavior to user impact
Translate model capabilities, data constraints, and evaluation results into clear product and system decisions
Make hard trade-offs across quality, latency, cost, reliability, and UX
Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration
Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback
Ensure systems ship quickly, safely, and reliably, with strong feedback loops
Own product quality end-to-end - correctness, predictability, and user trust
Technical foundation
Strong grounding in computer science fundamentals, including algorithms, data structures, and system design.
Solid understanding of ML fundamentals and how modern AI systems behave in production.
AI & ML experience
Hands-on exposure to AI-powered products, including LLM-based systems.
Proven ability to work closely with senior engineers and ML teams.
Experience shipping AI-heavy consumer products.
Background as an engineer or highly technical product manager.
Experience defining evaluation metrics for ML systems.
Strong intuition for AI UX patterns and failure handling.
Product strategy clearly aligns AI capabilities with user needs and company priorities.
AI features deliver real value, are understandable, predictable, and trusted by users.
Decisions balance quality, speed, cost, and reliability effectively under uncertainty.
Teams are aligned, focused, and able to execute on AI product goals with minimal friction.
We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning.
Interviews will be conducted via virtual meetings and/or onsite.
it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally. xehkeey
Remote working/work at home options are available for this role.
Research and define end-to-end AI system requirements from capability to behavior to user impact
Translate model capabilities, data constraints, and evaluation results into clear product and system decisions
Make hard trade-offs across quality, latency, cost, reliability, and UX
Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration
Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback
Ensure systems ship quickly, safely, and reliably, with strong feedback loops
Own product quality end-to-end - correctness, predictability, and user trust
Technical foundation
Strong grounding in computer science fundamentals, including algorithms, data structures, and system design.
Solid understanding of ML fundamentals and how modern AI systems behave in production.
AI & ML experience
Hands-on exposure to AI-powered products, including LLM-based systems.
Proven ability to work closely with senior engineers and ML teams.
Experience shipping AI-heavy consumer products.
Background as an engineer or highly technical product manager.
Experience defining evaluation metrics for ML systems.
Strong intuition for AI UX patterns and failure handling.
Product strategy clearly aligns AI capabilities with user needs and company priorities.
AI features deliver real value, are understandable, predictable, and trusted by users.
Decisions balance quality, speed, cost, and reliability effectively under uncertainty.
Teams are aligned, focused, and able to execute on AI product goals with minimal friction.
We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning.
Interviews will be conducted via virtual meetings and/or onsite.
it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally. xehkeey
Remote working/work at home options are available for this role.