Product Manager

Posted Dec 26

About the job

Product Manager Job Description for Hybrid Cloud and AI-based Services Startup

Position: Product Manager

Location: Remote

Industry: Cloud Computing, Artificial Intelligence (AI), Hybrid Cloud Services

Job Overview:

We are seeking a highly motivated and skilled Product Manager to lead the development and growth of our hybrid cloud and AI-based services. In this role, you will work closely with engineering, design, sales, and marketing teams to drive product development and deliver impactful solutions for our customers. You will be responsible for owning the product roadmap, prioritizing features, and ensuring that our offerings meet the needs of the market.

Key Responsibilities:

  • Product Strategy & Roadmap:

Develop and execute a clear product strategy and roadmap for hybrid cloud solutions leveraging AI capabilities. Align the product vision with company goals, customer needs, and market trends.

  • Market Research & Competitive Analysis:

Conduct deep research on industry trends, competitors, and emerging technologies to stay ahead of the market. Analyze customer feedback and user behavior to inform product decisions.

  • Cross-functional Collaboration:

Work closely with engineering, data science, design, and sales teams to define and prioritize product features. Ensure seamless communication and coordination across teams for successful product delivery.

  • Hybrid Cloud Solution Design:

Drive the development of AI-powered hybrid cloud solutions that enable businesses to seamlessly integrate on-premise infrastructure with public and private cloud services.

  • AI Integration:

Lead the integration of AI technologies into the hybrid cloud product offering, including machine learning models, data analytics, and automated decision-making tools, to enhance operational efficiency for clients.

  • Product Development & Execution:

Define and document detailed product requirements, user stories, and acceptance criteria. Oversee product development and work closely with engineering to deliver high-quality, scalable, and secure cloud-based services.

  • Customer & Stakeholder Engagement:

Engage with customers, stakeholders, and partners to gather feedback, validate features, and ensure product-market fit. Communicate product updates and new features effectively.

  • KPIs & Performance Metrics:

Define and track key performance indicators (KPIs) to measure product success, including customer satisfaction, adoption rates, revenue growth, and operational efficiency.

  • Continuous Improvement:

Monitor product performance and gather user feedback to iterate on the product. Constantly assess opportunities to improve user experience, reduce friction, and enhance functionality.

Required Skills & Qualifications:

  • Experience:

2-3 years of experience in product management, preferably in cloud computing, AI, or hybrid cloud services.

Experience with hybrid cloud environments (e.g., AWS, Azure, Google Cloud, on-premise) and AI-driven solutions.

Strong understanding of AI technologies, machine learning, data analytics, and automation in the context of cloud services.

  • Technical Expertise:

Familiarity with hybrid cloud architectures and technologies such as containerization (e.g., Kubernetes, Docker), serverless computing, microservices, and multi-cloud environments.

Understanding of AI/ML concepts and how to integrate them into enterprise-level cloud platforms.

  • Analytical & Problem-Solving Skills:

Strong data-driven decision-making abilities and the capacity to analyze complex problems and deliver practical solutions in a fast-paced environment.

  • Communication Skills:

Excellent written and verbal communication skills, with the ability to engage with technical and non-technical stakeholders at all levels of the organization.

  • Project Management:

Experience with agile development methodologies (Scrum, Kanban) and project management tools (JIRA, Trello, etc.).

  • Leadership & Teamwork:

Proven ability to lead cross-functional teams and drive product initiatives in a collaborative and fast-moving startup environment.

Preferred Qualifications:

  • Education:

Bachelor’s or Master's degree in Computer Science, Engineering, Business, or a related field.

  • Cloud Certifications:

Certifications in cloud platforms such as AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, or Microsoft Azure certifications are a plus.

  • AI/ML Expertise:

Experience working with AI/ML frameworks (e.g., TensorFlow, PyTorch) and understanding how to apply them in cloud environments.

  • Startup Experience:

Previous experience in a startup or fast-growing technology company is highly desirable.

What We Offer:

  • Impact:

Be a part of a fast-paced startup with the opportunity to make significant contributions to cutting-edge hybrid cloud and AI solutions.

  • Culture:

Join a dynamic, innovative, and supportive team that values creativity, collaboration, and continuous learning.