Technical Product Manager

CYGNIFY PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

CYGNIFY PTE. LTD. in Singapore seeks a deeply technical, hands-on AI/ML product leader to design and evolve end-to-end systems for global users.

You will work with engineers to translate requirements into robust, scalable architecture and define trade-offs across performance, cost, and user experience. The role emphasizes strong CS fundamentals, ML production experience, and the ability to own complex products from concept to shipping.

Qualifications

• Strong grounding in algorithms, data structures and system design.
• Solid understanding of ML fundamentals and production AI behavior.
• Ability to read, review and discuss technical design documents.

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.

Skills

CS fundamentals

ML fundamentals

Product leadership

LLM-based systems

Job description

Company Profile

We are partnering with Agentic Intelligence (AI) Development Start-up with 100% remote work arrangement. Substantial investment funding from well known Fintech organization and regionally based in Singapore, Malaysia, Hong Kong, UK & USA, currently rebranding and focused on building AI applications for everyday consumers.

The best products today in the world were built by small, world class teams. 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. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product.

Role

This is a deeply technical, hands-on role. Work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. 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 areal-world application.

What You'll be Doing

• 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

What You Will Need

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.
• Comfort reading, reviewing, and discussing technical design documents.

AI & ML experience

• Hands-on exposure to AI-powered products, including LLM-based systems.
• Experience working with model evaluation, prompt or pipeline iteration, and feedback loops.
• Strong intuition for model limitations, hallucinations, bias, and drift.

Product leadership

• Significant experience owning complex, technical products end-to-end.
• Proven ability to work closely with senior engineers and ML teams.
• Strong judgment and decision-making ability in ambiguous, fast-moving environments.
• Ability to balance ambition with technical and operational reality.

Nice to have

• 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.
• Prior experience in zero-to-one product environments.

UEN: 202329526G

EA Licence: 23S2061