AI Product Manager Jobs in Singapore

Looking for an AI product manager job in Singapore? Choose from 35 open roles at 4 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

35 Open roles
4 Companies hiring
โ€” Average salary

Companies hiring AI product managers in Singapore

What do AI product managers in Singapore work on?

The roles in these postings sit across several product domains, though most titles come from a single employer. At the more junior end, the Junior Product Manager, DevOps and AI at OKX involves translating engineering workflows into structured AI-powered product features, integrating coding assistance and agent capabilities into development pipelines. Stepping up, the Senior Product Manager, DevOps and AI takes on broader planning and drives adoption from pilot to scale. The Senior Product Manager, Multilingual AI and Evals owns evaluation infrastructure for multilingual agents, deciding when translations are safe to publish. Elsewhere, the Senior Product Manager, AI Risk Strategy focuses on fraud detection and transitioning manual review to LLM-driven workflows. The Principal/Senior Product Manager, AI and Web3 Wallet bridges agentic infrastructure with developer communities. Director-level titles frequently pair AI with trading, payments, or institutional products.

Skills and experience employers ask for

Across these thirty-five postings, agent-related work and evaluation systems appear most often in descriptions, followed by A/B testing and LLM experience. SQL, APIs, and Python are each mentioned in a minority of postings. More specialist terms such as RAG, CI/CD, fine-tuning, and prompt engineering appear in only a handful. A Master's degree is mentioned in three postings. These are counts of mentions in descriptions, not universal requirements, and the sample is small.

Agents 31%
Evaluation 29%
A/B testing 20%
LLMs 17%
SQL 14%
APIs 14%
Python 11%
Statistics 11%
RAG 9%
CI/CD 9%
Master's degree 9%
Fine-tuning 6%
Prompt engineering 3%
Spark 3%

AI Product Manager roles that state a salary

The employers' own advertised ranges, for individual roles at different levels โ€” not an average and not a market rate.

Singapore office, hybrid or remote?

Almost all postings on this page are listed as on-site; only one is described as hybrid. None are listed as remote. This means candidates should expect in-person work in Singapore for the vast majority of these roles. Where specific office locations or flexible arrangements within on-site roles are concerned, those details are not stated in the postings and would need to be confirmed directly with each employer.

Make your application specific to the work

  1. Check seniority fit first Most postings on this page sit at director, senior, or lead level. Review the title and any stated years-of-experience before spending time on an application.
  2. Read the domain requirements carefully Several roles specify backgrounds in Web3, crypto trading, risk strategy, or multilingual AI โ€” these are not interchangeable, so confirm your domain experience matches before applying.
  3. Note the pay information gap Only one posting on this page includes an advertised salary range; for all others, compensation is not stated and you will need to raise it during the process.
  4. Confirm visa and degree eligibility Visa sponsorship and degree requirements are not consistently stated across these postings; contact the employer directly to clarify your eligibility before submitting.

Questions about AI Product Manager jobs in Singapore

The postings on this page come from OKX, Zscaler, Moloco, and Sierra. OKX accounts for the large majority of listings.

Only one posting advertises a salary: Sierra's Product Manager, Agent Development lists a range of 230,000 to 445,000. All other postings do not state pay, so that figure cannot be taken as representative of the group.

No postings on this page are listed as remote. Almost all are on-site, with one listed as hybrid.

A Master's degree is mentioned in three of the postings. A Bachelor's degree is referenced in at least one summary. Most postings do not state a degree requirement explicitly, so you should check each posting individually.

Agent-related experience and evaluation or QA systems are the most commonly mentioned skills in these descriptions, followed by A/B testing, LLMs, SQL, and APIs. These are mentions in posting descriptions, not confirmed requirements for every role.

Jobs checked 8 hours ago. ยท Guide reviewed 9 September 2026.