Job Description
Job Description:
We are seeking a Technical Product Manager with 8 years of experience to lead the strategy, development, and delivery of innovative DevOps, Cloud, and AI/ML solutions. The ideal candidate will combine strong technical knowledge with product management expertise to define product roadmaps, collaborate with cross-functional teams, and deliver scalable, customer-focused solutions.
Key Responsibilities
- Define and execute the product strategy and roadmap for DevOps, Cloud, and AI/ML solutions.
- Gather customer and stakeholder requirements to identify product enhancements and new feature opportunities.
- Collaborate with Engineering, Design, Data Science, and DevOps teams to define product requirements and prioritize features.
- Conduct market research, competitive analysis, and technology trend assessments.
- Manage the complete product lifecycle from ideation through development, launch, and continuous improvement.
- Define and monitor KPIs to measure product success and drive data-driven decisions.
- Drive the adoption of DevOps practices, CI/CD automation, and cloud-native deployment strategies.
- Partner with AI/ML teams to deliver intelligent products leveraging machine learning and generative AI capabilities.
- Ensure timely delivery of high-quality products using Agile/Scrum methodologies.
Required Skills
- 8 years of experience in Technical Product Management.
- Strong understanding of DevOps, Cloud Computing, and AI/ML technologies.
- Hands-on knowledge of AWS, Azure, or Google Cloud Platform (GCP).
- Experience with CI/CD pipelines, Docker, Kubernetes, and cloud-native architectures.
- Familiarity with AI/ML concepts, including data pipelines, model training, deployment, and lifecycle management.
- Strong experience in product roadmap planning, feature prioritization, and stakeholder management.
- Excellent analytical, problem-solving, and data-driven decision-making skills.
- Strong verbal and written communication skills with the ability to communicate technical concepts to diverse audiences.
- Experience working in Agile/Scrum environments.
Preferred Qualifications
- Cloud certifications such as AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or Microsoft Azure certifications.
- Kubernetes certifications such as Certified Kubernetes Administrator (CKA).
- Experience with AI/ML frameworks including TensorFlow, PyTorch, or Scikit-learn.
- Previous experience in a startup or fast-paced technology environment.
- Knowledge of product analytics, customer discovery, and AI-driven product development.