Technical Product Manager (AI Systems)

Cygnify; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

A1 is seeking a deeply technical, hands-on AI systems leader who will work with engineers on system design, evaluation, and requirements shaping for global users. You will bridge user needs, model capability, and system constraints to deliver reliable, real-world AI.

You will define end-to-end AI system requirements, translate model capabilities into product decisions, and drive trade-offs across quality, latency, cost, and UX while collaborating with ML, backend, and mobile teams.

Qualifications

• Strong foundations in computer science and data structures.
• Solid understanding of ML fundamentals and production behavior.
• Experience reading and reviewing technical design documents.
• Hands-on exposure to AI-powered products and evaluation loops.

Responsibilities

• Research and define end-to-end AI system requirements from capability to behavior.
• Translate model capabilities and data constraints into product decisions.
• Make hard trade-offs across quality, latency, cost, reliability, and UX.
• Collaborate with ML, backend, and mobile engineers on design and evaluation.
• Define evaluation frameworks across offline metrics, online experiments, and feedback.
• Drive execution with clear specs, strong judgment, and prioritization.
• Ensure systems ship quickly, safely, and reliably with feedback loops.
• Own product quality end-to-end — correctness, predictability, user trust.

Skills

Computer Science fundamentals

ML fundamentals

Reading and discussing technical设计?

Hands-on AI-powered products

Model evaluation

Prompt/pipeline iteration

Understanding model limitations/bias

Collaboration with senior engineers

Judgment in ambiguous environments

Balance ambition with reality

Job description

We are working with A1, a company incubated and backed by BJAK, whose mission is to build the next generation of AI-native applications that fundamentally change how people communicate and get things done. A1's first application, AI Email Triage, reimagines email by moving users from reading and writing emails to learning from and approving AI-completed work-- making it efficient, smart and delightful.

A1's core capabilities are Agentic AI - AI that can reason through multi-step workflows and use external tools to complete tasks; Permission-Based Actions - AI that always asks for approval before taking actions such as sending emails or updating your calendar, keeping users in control; Context & Memory - AI remembers user preferences and past context to deliver increasingly personalised, accurate, and consistent assistance over time.

BJAK is the largest insurance platform in Southeast Asia with presence in Japan, United Kingdom and growing.

Role Summary

In this deeply technical, hands-on role, you will work directly with engineers on system design, evaluation, and trade-offs-defining requirements, shaping how the system works for global users. You will 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.

Responsibilities

• 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
• Drive execution with clear specs, strong judgment, and disciplined prioritization
• Ensure systems ship quickly, safely, and reliably, with strong feedback loops
• Own product quality end-to-end - correctness, predictability, and user trust

Key Performance Indicators

• 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.
• Roadmaps and priorities are clear, with fast iteration based on real user feedback.
• Teams are aligned, focused, and able to execute on AI product goals with minimal friction.

Our Ideal Candidate

• Has strong grounding in Computer Science fundamentals, including algorithms, data structures, and system design.
• Has solid understanding of ML fundamentals and how modern AI systems behave in production.
• Comfortable in reading, reviewing, and discussing technical design documents.
• Has hands-on exposure to AI-powered products, including LLM-based systems.
• Has experience working with model evaluation, prompt or pipeline iteration, and feedback loops.
• Has strong intuition for model limitations, hallucinations, bias, and drift.
• Has proven ability to work closely with senior engineers and ML teams.
• Has strong judgment and decision-making ability in ambiguous, fast-moving environments.
• Able to balance ambition with technical and operational reality.