AI Harness Engineering Product Manager

Job Title: AI Harness Engineering Product Manager Company: ATOMMEDIA PTE. LTD. Job Category: Machine Learning Roles & Responsibilities: This is a new breed of role — sitting at the intersection of product management and agentic engineering. You will define, build, and own the harness layer that makes AI agents actually work in our suite of advertising products. The harness is everything between the model and the user: the infrastructure, connectors, evaluation systems, and feedback loops that determine whether our agents are reliable, useful, and safe. You are not a traditional PM who hands specs to engineers, nor a pure engineer who ships features without a user lens. You are both — with a deep enough technical foundation to get your hands dirty, and a sharp enough product instinct to know what matters. This is a greenfield function. There is no existing playbook, no inherited team structure. The right person sees that as the opportunity, not the risk. Key responsibilities Build and maintain integrations to internal systems (e.g. Slack, Hubspot, Google Drive, codebases), managing access permissions and ensuring integrations do not decay over time. Own the reliability of the agent’s ability to act in our environment. Develop evaluation pipelines and benchmarking systems to measure agent performance, reliability, and safety in both production and simulated environments. Define what “the agent is genuinely helping more people in more scenarios” means — and own the metrics that prove it. — full\-stack or platform engineering preferred. ML/LLM model training is not the target profile for this role. Product instinct developed through Genuine enthusiasm for agentic AI as the future of how products are built — ambivalence about AI\-assisted development is a disqualifier. Personal tinkering or side projects with AI tooling is a strong signal. Work Location: Singapore, S00, Singapore Availability: Full time

4\+ years of software engineering experience Experience with AI agent frameworks ( Experience with LLM evaluation frameworks and prompt/context testing. Experience building simulation environments or synthetic test datasets. Deep collaboration experience with ML researchers. Key Skills: Model Training Salary: SGD 5900 - 12000 per monthly