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Product Manager – Data Intelligence Platforms

Description

A client of byteSpark.ai is seeking a highly skilled and motivated Product Manager to spearhead the development and growth of their innovative intelligence platform. This advanced platform integrates structured and unstructured data, delivering actionable intelligence in near real-time through cutting-edge algorithms and visual exploration tools. The role requires collaboration with internal teams, customers, and stakeholders to ensure the product's success and competitive edge. The ideal candidate thrives in dynamic environments, demonstrates strong leadership, and builds impactful relationships with diverse stakeholders.

Requirements

1. 5+ years of product management experience, particularly in telecom, enterprise software, or big data solutions.

2. Proven track record in managing products with complex technical integrations and multi-stakeholder environments.

3. Familiarity with backend data processing technologies and frontend data visualization tools.

4. Expertise in telecommunications and IP networks.

5. Strong leadership and motivational skills, with experience managing cross-functional teams.

6. Exceptional communication skills for technical and non-technical audiences.

7. Analytical and adaptable problem-solving abilities.

Desirable

1. Experience interfacing with government entities or high-profile customers is advantageous.

2. Self-motivated and self-started

Candidate Applications :

302

Important information

How did you hear about us? *

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Email *(Please ensure the email matches the one mentioned in your CV or resume)

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Please provide your current and expected salary in the box below: *

You are required to answer the following 4 questions which serve as an indicator of what we will be looking for. If you say 'Yes' then ensure there is enough documented evidence in your CV.

1. Do you have 5+ years of experience in product management in telecom, enterprise software, or big data? *

2. Have you managed products involving complex technical integrations? *

3. Are you familiar with backend data processing and frontend visualization technologies? *

4. Do you have expertise in telecommunications and IP networks? *