Technical Product Manager Job Pawa IT Solutions
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Responsibilities
Technical Leadership & Development (50%)
- Lead the ongoing development and enhancement of existing AI-powered solutions.
- Drive rapid prototyping and PoC development for new AI products, leveraging technologies like Computer Vision (e.g., for data extraction), NLP, and predictive modeling.
- Provide technical guidance, conduct code reviews, and make key architectural decisions to ensure solutions are scalable, reliable, and secure.
- Resolve technical conflicts, champion best practices, and maintain high engineering standards.
- Contribute directly to development using Python and Google Cloud Platform (GCP) services.
Core Product Management (30%)
- Define and execute a cohesive product strategy and roadmap for the entire AI/ML product portfolio.
- Translate customer needs and business requirements into detailed product specifications and user stories.
- Own the product lifecycle from ideation and validation through to launch, iteration, and end-of-life.
Team & Stakeholder Management (20%)
- Lead and mentor a team of talented software engineers, fostering a culture of innovation and continuous improvement.
- Collaborate effectively with cross-functional teams, including design, marketing, and sales to ensure successful product delivery and go-to-market execution.
- Manage project timelines, deliverables, and communication with all stakeholders.
Requirements
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of product management experience.
- 5+ years of hands-on software engineering experience with strong Python proficiency.
- Experience with the product management lifecycle for mobile applications
- Demonstrated track record of leading technical teams and managing product roadmaps from concept to completion.
- Experience with FastAPI, React/Vue/Angular, and modern web technologies
- Experience with AI/ML technologies, frameworks, and LLMs (e.g., NLP, Computer Vision, predictive modeling).
- Knowledge of Docker, microservices, DevOps practices, and cloud-native architectures- Google Cloud Platform (GCP) is an added advantage.
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