# Product Manager, Platform.AI, AI Programme at GovTech Singapore

GovTech Singapore is hiring a Product Manager, Platform.AI, AI Programme in Singapore, Singapore. Level rates it Works on AI ●●●○; you can [apply on GovTech Singapore](https://jobsbylevel.com/go/524a94e0-1547-4b75-8801-cff9c19e970f?utm_medium=ai-agent).

AI Level 3, AI centrality 74 out of 100. Singapore.

## Details

- Company: [GovTech Singapore](https://jobsbylevel.com/companies/govtech-singapore)
- AI level: AI Level 3 (score 74 out of 100)
- Location: Singapore
- Posted: April 10, 2026
- Apply: https://jobsbylevel.com/go/524a94e0-1547-4b75-8801-cff9c19e970f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=product-manager-platform-ai-ai-programme-at-govtech-singapore-657e91

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## Description

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions. GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. Job Summary GovTech is seeking a strategic and mission-driven Lead/Senior Product Manager to spearhead the AI Safety and Governance pillar within PlatformAI. As AI adoption scales across the public sector, your mission is to ensure that every AI-enabled application is secure, fair, and accountable by design. You will own a dual-track roadmap: For Developers: Building the "Safety Stack"—a suite of automated Evals, Guardrails, and Red-teaming tools that allow teams to deploy LLMs with speed and confidence. For Governance and Observability: Architecting the "Governance Layer"—observability tools and risk-posture dashboards that provide a unified view of AI compliance across the whole-of-government (WOG) ecosystem. Key Responsibilities 1. Defining the Sovereign Safety Standard Define the long-term strategy for AI Safety-as-a-Service, transitioning governance from a manual checklist to an automated platform feature. Synthesize emerging global frameworks and local AI governance policies into platform features that make compliance "invisible" for developers. Establish the government’s standard for AI risk levels, determining the safety benchmarks required for different use cases (e.g., citizen-facing vs. internal productivity). 2. Building the Guardrails & Audit Trails Lead the development of automated evaluation engines that stress-test products and models for prompt injection, PII leakage, toxicity, and hallucination before and after deployment. Partner with Engineering to integrate safety checks directly into CI/CD pipelines, ensuring that "Safety-by-Design" accelerates rather than hinders deployment. Build real-time monitoring tools to detect "jailbreak" attempts and model drift, ensuring rapid mitigation of live AI risks. 3. Bridging Policy & Code Act as the primary liaison between Policy/Legal teams and Engineering teams to ensure technical tools meet policy and legal intent. Cultivate a culture of safety across GovTech by publishing playbooks, standardizing red-teaming exercises, and educating teams on the evolving LLM vulnerability landscape. 4. Trust-Centric Metrics & Accountability Define and track KPIs such as Mean Time to Detect (MTTD) vulnerabilities, Policy Coverage %, and Guardrail Efficacy Rates. What You Will Bring Senior Product Leadership: Proven experience managing complex technical products, specifically those focused on Security, Governance, or AI/ML infrastructure . AI Safety Domain Expertise: Deep understanding of Generative AI risks (e.g., prompt injection, training data poisoning, algorithmic bias) and the current state of AI safety research. The "Translator" Skillset: Exceptional ability to distil abstract ethical principles into concrete technical requirements and APIs. Analytical Rigor: A background in using data-driven evaluation frameworks (e.g., RAG evaluation, perplexity scoring, or model benchmarking) to

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