Senior Product Manager I
New
J
JobgetherDigital asset management
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4–6+ years of product management experience
- Required Skills
- Product ManagementProduct AnalyticsCross-functional collaboration
Requirements
- Bring 4–6+ years of product management experience.
- Guide products from concept through launch and ongoing improvement.
- Deliver engaging, intuitive user experiences on scalable software platforms.
- Manage complex enterprise software products across discovery, roadmap planning, development, launch, and performance evaluation.
- Be familiar with Agile development methodologies, iterative delivery, frequent releases, and continuous feedback.
- Use product metrics, analytics, and experimentation to prioritize initiatives and measure success.
- Collaborate effectively with engineering, design, research, data science, analytics, and other cross-functional stakeholders.
- Communicate product strategy, explain technical concepts, and influence stakeholders at different levels.
- Have a technical degree or equivalent practical experience working closely with engineering teams.
- Bring strategic thinking, customer empathy, problem-solving skills, and the ability to balance product vision with day-to-day execution.
- Experience with content-related products or digital asset management platforms is preferred but not required.
- An MBA or other relevant advanced business qualification is advantageous but not mandatory.
Responsibilities
- Contribute to product vision and strategy for digital asset management capabilities, aligning customer needs, business objectives, and industry best practices.
- Own and maintain the roadmap for a defined set of capabilities, ensuring priorities support strategic goals and platform initiatives.
- Coordinate dependencies and align investments with engineering and product leaders.
- Collaborate with design and engineering from discovery and prototyping through development, launch, and continuous improvement.
- Use customer feedback, market insights, internal and external data, and performance metrics to inform prioritization and decisions.
- Partner with research, design, data science, and analytics teams to develop prototypes, run experiments, test hypotheses, and validate solutions.
- Define success metrics and evaluate product performance to identify optimization opportunities and deliver customer value.
- Communicate product strategy, roadmap updates, feature capabilities, experimentation outcomes, and insights to cross-functional stakeholders.
- Balance strategic planning with hands-on execution as business needs and customer expectations evolve.
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