Senior PM: AI Platform Operations (R&D)

Virtuos; Singapore; On-site; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Relocation support

Medical healthcare

Career mobility

Learning opportunities

Group outings

Job summary

Virtuos is seeking a Senior Product Manager to define direction, adoption, and continual improvement of internal AI platforms supporting Game Development, Game Art, Production, and Administration teams. You will translate business needs into a clear roadmap and deliver measurable value while balancing user needs, service quality, delivery capacity, and costs.

You will collaborate with engineers, product owners, and business leaders to move from discovery through rollout, mentoring colleagues and

Qualifications

• Typically 6 or more years of relevant experience, including substantial product management ownership of software, SaaS, or internal platforms.
• A record of independently owning a roadmap and delivering measurable improvements in adoption, user outcomes, service quality, or operating cost.
• Experience leading discovery, making priority decisions, and taking products or major capabilities from requirements through launch and ongoing improvement.
• Strong analytical judgement. Able to define useful measures, assess costs and benefits, and use evidence to change course.
• Experience aligning technical teams and business stakeholders with competing needs. Able to explain difficult trade-offs clearly and influence without direct authority.
• Working knowledge of AI platform concepts, APIs, usage data, and cloud service costs. Able to discuss AI quality, limitations, and data handling with specialists.
• Clear written and verbal communication, with experience guiding adoption and change across teams.

Responsibilities

• Product Direction and Priorities: Own the roadmap for the assigned AI platforms. Set quarterly priorities and a longer-term direction with R&D leadership and product owners.
• Build clear business cases using user evidence, expected benefits, costs, and risks. Make trade-offs across new capabilities, adoption, reliability, and technical improvements.
• Decide product priorities within agreed goals and capacity. Resolve competing requests across teams and elevate decisions that need wider funding or policy changes.
• Lead interviews, workflow reviews, and data analysis to find the problems that matter most. Test assumptions through pilots before committing to broad delivery.
• Turn findings into clear requirements, acceptance criteria, and success measures. Distinguish shared platform needs from requests that serve a single team.
• Agree service quality goals and release readiness criteria with engineering. Prioritize improvements based on user impact, reliability, and cost.
• Lead product planning from requirements through rollout. Align dependencies, manage scope, and resolve blockers with engineering and product owners.
• Coordinate business communication during service issues and ensure follow‑up work addresses recurring problems. Engineering retains ownership of technical incident response and recovery.
• Own adoption plans with business teams. Set up pilots, onboarding, documentation, training, and local champions that help users build AI tools into daily work.
• Define and review measures such as repeat use, task success, time saved, user satisfaction, service reliability, and cost per successful task. Set baselines and agreed targets before rollout.
• Use results to decide which capabilities to expand, improve, consolidate, or retire. Present progress, costs, risks, and recommendations to R&D and business leaders.
• Work with engineering, security, legal, and business owners to define requirements for data access, confidentiality, intellectual property, output quality, and human review.
• Include relevant AI quality checks and approval requirements in pilots and releases. Make limitations clear to users and track issues after launch.
• Mentor less experienced product colleagues. Improve shared practices for discovery, prioritization, release reviews, and measuring business value.

Skills

Six+ years experience

Roadmap ownership

Discovery leadership

Analytical judgement

Stakeholder alignment

AI platform knowledge

Clear communication

Tools

Jira

Azure DevOps

Product analytics tools

Job description

Virtuos is seeking a Senior Product Manager to define direction, adoption, and continual improvement of internal AI platforms supporting Game Development, Game Art, Production, and Administration teams. You will translate business needs into a clear roadmap and deliver measurable value while balancing user needs, service quality, delivery capacity, and costs.

You will collaborate with engineers, product owners, and business leaders to move from discovery through rollout, mentoring colleagues and