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سامانه استخدام نیرو در سراسر کشور
استخدام نیرو انسانی — کلیک کنید
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استخدام (Product Manager (Agentic AI & Automation در دیجی کالا
(2 days ago)
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تهران، تهران
نوع همکاری
تمام وقت
سفرهای کاری
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شاخص‌های کلیدی از نظر کارفرما
دیپلم
شرح شغل و وظایف
دیجی کالا در تهران (محدوده چیتگر) جهت تکمیل کادر خود به افراد واجد شرایط ذیل نیازمند است.
| Description | job title |
| We’re looking for a Product Manager who gets genuinely excited when they find a slow, repetitive or unnecessarily painful process—because while everyone else is wondering why it takes twelve steps, you’re already thinking about how it could be redesigned, automated or powered by AI. You’ll work across two key products: Automation Platform, built on Activepieces, enabling employees to create workflows and automate their own work. Digikala Intelligent Agentic OS, our enterprise agentic AI platform, designed to change how work gets done across Digikala. This is not a “manage the backlog, attend meetings and move tickets around” kind of role. You’ll own problems from discovery to outcome: understanding what is worth solving, shaping the right product, building and testing solutions directly when it helps us learn faster, and working with engineering when the solution needs deeper architecture, scale or production hardening. What you’ll own Explore the organization, follow the friction and uncover valuable automation and AI opportunities. Understand employees’ real workflows, pain points and unmet needs—not just collect their feature requests. Validate problems before committing significant effort, establish measurable baselines and quantify the potential value. Turn complex business processes into clear product concepts, requirements and experiments that can be tested with real users. Build working prototypes, automations, agents and lightweight product experiences directly on our platforms when doing so is the fastest way to validate or deliver value. Decide when something should stay a lightweight solution and when it deserves deeper engineering, architecture and production investment. Own prioritization across opportunities, balancing impact, effort, risk and strategic value—because unfortunately, “build everything” is not a strategy. Work closely with engineering from discovery through design, delivery, rollout and adoption. Measure what changed after launch: time saved, costs reduced, errors prevented, adoption driven and employee experience improved. Create concise, meaningful reports that help stakeholders make decisions—not reports that merely keep slides occupied. Continuously study the world’s best AI, agentic and automation products, understand what makes them work, and bring the useful ideas back into our products. The mindset we’re looking for Outcome over output: shipping is not success unless something meaningfully improves. Ownership: you follow opportunities end to end instead of throwing requirements over the wall and hoping for the best. Curiosity: you ask how work actually happens and keep digging until you understand the root problem. Bias for action: when a prototype can answer a question faster than a document or a meeting, you build it. Evidence over opinion: decisions are supported by data, observation and real customer insight—not whoever speaks most confidently in the meeting. Customer empathy: you can recognize what people need, even when they cannot articulate it clearly. Systems thinking: you see the workflow, people, data, integrations and constraints around the problem—not just the isolated feature. Continuous learning: staying current with agentic AI, automation and product innovation is part of the job, not an occasional browser tab. What matters to us We don’t care about your university degree, and we don’t use a fixed number of years as a proxy for ability. We do care about relevant experience and evidence. We want to see what you discovered, built, improved or automated; how you made decisions; what impact you created; and what you learned when things didn’t work as expected. Experience in product management, product engineering, process improvement, automation, enterprise products, digital transformation or applied AI is valuable. You should be comfortable enough with workflows, APIs, integrations, data and modern AI capabilities to turn ideas into working solutions yourself—but this is not a pure software engineering role. Strong product thinking, problem discovery, prioritization and judgment matter just as much as the ability to build. You’ll have a strong engineering team beside you for the problems that require deeper architecture, reliability, security and scale. If this sounds like the kind of problem you’d happily obsess over, tell us about one process or product you discovered, shaped and meaningfully improved—and, ideally, show us something you built along the way. |
(Product Manager (Agentic AI & Automation |
شرایط احراز شغل
سن
18 - 50 سال
جنسیت
فرق نمی کند
تحصیلات
دیپلم
استخدام نیرو انسانی — کلیک کنید
ارسال رزومه
آگهی‌های مشابه
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استخدام (Product Manager (Agentic AI & Automation در دیجی کالا