Product Manager, Platform.AI, AI Programme

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).

1. 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.

1. 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.

1. 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 measure performance and risk.
• Developer Empathy: A deep understanding of developer workflows and a commitment to making safety tools an "accelerant" rather than a "roadblock."

What we offer you: GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs. We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.