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GovTech Singapore

Lead / Senior Product Manager, AI Safety & Governance, PlatformAI

GovTech Singapore is hiring a Lead / Senior Product Manager, AI Safety & Governance, PlatformAI in Singapore, Singapore. Level rates it ; you can apply on GovTech Singapore.

Level's read on this job

  • On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Perplexity, RAG and AI safety.
  • Level classifies it as a lead role.
  • Level lists 257 other open roles at GovTech Singapore.

AI in this role

perplexity
ragai-safety

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. 

 

[What you will be working on] 

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 we are looking for] 

  • 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.   

 

Learn more about life inside GovTech at go.gov.sg/GovTechCareers. 
Stay connected with us on social media at go.gov.sg/ConnectWithGovTech 

How we rate this

Lead / Senior Product Manager, AI Safety & Governance, PlatformAI at GovTech Singapore rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI SafetyPerplexity

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$180k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. What are the limits of Perplexity that you've run into, and how did you work around them?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: RAG, AI Safety, and Perplexity. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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