SalaryPeak

Product & Program Manager

BOTMIND PTE. LTD.
Singapore 10+ years Posted Feb 24, 2026

Salary Range

SGD 102,000 - SGD 108,000 /year

SGD 8,500 - SGD 9,000/month

Skills Required

Progress Monitoringlaunch plansOwnershipIntegrationRoadmapAcceptance Criteriacustomer needsRisk AnalysisUser JourneysPreparationReportingManagement

Job Description

Product Management (Build the right thing)

·       Own product roadmap executive for key platform modules
(fleet ops dashboard, job workflows, integrations, alert, reporting)

·       Translate customer/ops needs into PRDs, user journey,
epics/stories, acceptance criteria, and non-functional
requirements (reliability, security, performance, observability)

·       Drive prioritization with clear trade-offs (impact vs effort vs risk),
and manage scope through disciplined change control

9.2        Program/ Delivery Management (Build it right, on time)

·       Lead end-to-end delivery across workstream: software, robotics,
site readliness, vendor integrations, QA/testing, rollout

·       Own governance: master plan, milestones, dependencies, RAID
log, decision log, release plan, rollout checklist

·      Run cadence using Agile/Scrum practices (planning, grooming,
standups, retros, release planning) and ensure delivery redictability

·       Drive readiness for FRC/FAT/UAT/go-live, including test plans,
sign-offs, launch criteria, and post-launch stabilization

·       Support PO/CEO by maintaining a single source of truth across
roadmap, delivery plans, risks and decisions (Jira/Confluence)

·       Prepare concise project and product updates: progress, blockers,
risks, decisions required, and next steps

·       Facilitate alignment across leadership and teams via decision
memos, meeting agendas, action trackers, and follow-ups

·       Ensure initiatives move smoothly through the cycle: discovery –
definition – build – test – launch – iterate, with clear owners
and timelines

·       Support project deployment on site

9.3        AI & Cross-Functional Project Leadership  

·       Manage delivery of AI-related projects/features
(eg.; Video analytics, detection/classification, assistants,
automation workflows)

·      .Work with engineering/data teams to define success, validation
approach, deployment constraints, and real-world monitoring