Depok
Rp27 jt – Rp49,5 jt · estimasi11 hari lalu
Own the end-to-end product lifecycle, from problem discovery, business case, solution definition, development, implementation, adoption, through continuous improvement.
Identify business challenges and innovation opportunities that can be addressed through digital products, automation, data, AI, Generative AI, or emerging technologies.
Define clear business cases, ROI, success metrics, and measurable business outcomes before product development begins, including revenue, productivity, cost efficiency, risk reduction, and customer experience impact.
Translate business problems and user needs into clear product vision, requirements, user journeys, prioritized backlog, and product roadmap.
Evaluate and prioritize product and innovation initiatives based on business value, feasibility, scalability, implementation effort, strategic relevance, and expected ROI.
Collaborate closely with engineering, architecture, data, AI/ML, infrastructure, security, and business teams to ensure solutions are technically feasible, scalable, maintainable, and aligned with business requirements.
Leverage AI as part of the day-to-day product and development process, including using AI tools to accelerate research, analysis, ideation, prototyping, requirement development, testing, documentation, and solution delivery.
Be highly AI-fluent and AI-enabled, with the ability to explore and assess technologies such as Generative AI, LLMs, AI Agents, automation, and intelligent workflows, and determine where they can create practical business value.
Drive initiatives from idea to production, actively managing priorities, dependencies, risks, timelines, stakeholder expectations, user validation, and adoption to ensure innovation translates into actual implementation.
Build and maintain full-stack internal applications from initial scoping through production deployment will be advatage
Monitor product performance after implementation, compare realized benefits against the original ROI and KPI targets, and continuously identify opportunities for optimization and scale.
Bachelor's degree in Information Technology, Computer Science, Information Systems, Engineering, or another technology-related discipline is highly preferred.
Application and system architecture, APIs and system integration, Data platforms and analytics, Automation, AI/ML and Generative AI, Large Language Models and AI Agents
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Proven experience delivering multiple products or digital initiatives end-to-end from discovery through production implementation and adoption.
Strong experience developing business cases, ROI calculations, benefit hypotheses, and measurable product KPIs before development starts.
Proven ability to operate as an engineer: scoping, building, deploying, and maintaining systems end-to-end without a supporting team, and prioritizing across multiple concurrent requests.
Strong product management capabilities including product discovery, requirement definition, prioritization, roadmap development, backlog management, stakeholder management, and product performance measurement.