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کد آگهی: KP3515895381

استخدام Growth Product Manager

استخدام Growth Product Manager - دیجی‌‌کالا | Digikala
دیجی‌‌کالا | Digikala
در تهران
در وبسایت جابینجا  (چند ساعت پیش)
اطلاعات شغل:
نوع همکاری:  تمام‌وقت
مدرک تحصیلی مورد نیاز:  کارشناسی - فوق‌لیسانس
مهارت‌های مورد نیاز:
Product
growth
مدیر محصول
پرداخت‌ها:  توافقی
متن کامل آگهی:
About the Role


We’re looking for a Growth Product Manager to lead data-driven growth initiatives across one of the most dynamic and high-impact areas of our product ecosystem. This role is ideal for someone who is highly analytical, experimentation-driven, and deeply focused on identifying and solving real user and business problems through data, research, and iterative testing.
You will own the growth vision and experimentation roadmap — from defining strategic directions to running structured tests that unlock measurable improvements in activation, engagement, and retention. The ideal candidate thrives in fast-paced, hypothesis-driven environments and is skilled at transforming complex problems into scalable, user-centric solutions that drive sustainable product growth.


Key Responsibilities
Growth Strategy & Problem Solving
● Identify key users and business problems through quantitative and qualitative analysis.
● Formulate clear hypotheses and translate insights into structured growth opportunities.
● Build and own an experimentation roadmap aligned with product and business goals.


Experimentation & Data-Driven Execution
● Design, run, and evaluate experiments (A/B tests or other structured methodologies).
● Analyze experiment outcomes to validate hypotheses, refine ideas, and guide next steps.
● Establish scalable processes for continuous testing, iteration, and learning.


Product Insights & Performance Monitoring
● Define and monitor high-level product success metrics without over-indexing on low-level KPIs.
● Detect behavioral patterns, bottlenecks, and friction points across the user journey.
● Partner with data teams to build dashboards, automate insights, and ensure data quality.


Cross-Functional Collaboration & Stakeholder Alignment
● Collaborate closely with a wide range of stakeholders — including engineering, data, design, marketing, commercial, operations teams, and other product groups.
● Align diverse stakeholders around growth priorities and drive coordinated execution.
● Communicate insights and recommendations clearly to influence decision-making across teams.


User-Centric Solution Design
● Work with design and research teams to test concepts, validate assumptions, and develop user-centric solutions.
● Simplify complex problems into clear, actionable steps that improve the overall user experience and drive conversion.


Requirements
● 3–5+ years of experience in Product Management or Growth Product roles with a strong focus on data analysis, experimentation, and structured problem-solving.
● Strong analytical and problem-solving skills with a deeply data-driven mindset.
● Hands-on experience designing and running A/B tests and experimentation frameworks (hypothesis design, test setup, statistical interpretation).
● Proficiency with product analytics and behavioral analytics tools.
● Working knowledge of data exploration tools such as SQL, Python, or experiment analysis tools (Looker, Tableau, Metabase, etc.).
● Ability to work autonomously (agentic mindset) in fast-paced, iterative, high-ambiguity environments.
● Exposure to UX research, data science, or growth frameworks.


Nice to Have
● Experience in growth teams or large-scale consumer digital products.
● Ability to apply systems thinking to break down complex problems into scalable, interconnected components.
● Knowledge of AI-powered automation and no-code/low-code tools, such as n8n or workflow automation frameworks.
● Familiarity with LLM-based toolchains and orchestration frameworks (e.g., LangChain, custom agents, or scriptable automation flows).
● Ability to independently build lightweight internal tools, workflows, or data enrichments using AI or no-code automation systems.
● Experience with personalization, advanced experimentation methodologies, or lifecycle optimization.

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هشدار
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سه‌شنبه 12 آذر 1404، ساعت 02:16