Product Manager/Senior Product Manager - SaaS/Online

About the Role:

The role requires a strong business acumen and analytical background with a focus on working with numbers. The ideal candidate will be detail-oriented and able to make decisions driven by data analysis rather than a focus on user experience. Previous experience in product management ranging from 4-6 years is preferred, with a history of seeing a product grow from the initial stages. Exposure to B2B / B2B SaaS is also valued but not essential if other qualifications are met.

Responsibilities:

1. Data-Driven Product Strategy: Develop and execute a product strategy that leverages data analytics to enhance the cloud cost observability platform. Utilize market trends, customer feedback, and data insights to drive product enhancements.

2. Feature Development: Collaborate with engineering, design, and data science teams to conceptualize, plan, and implement new features. Define detailed requirements, prioritize features, and ensure timely delivery.

3. Analytics Integration: Lead the integration of advanced analytics capabilities, platform, enabling customers to derive meaningful insights from their cloud cost data.

4. User Experience: Work closely with the design team to create a seamless and intuitive user experience. Leverage data analytics to optimize user workflows and deliver a product that exceeds customer expectations.

5. Market Research: Stay informed about industry trends, competitive products, and emerging technologies.

6. Cross-Functional Collaboration: Collaborate with DevOps, SRE, and other stakeholders to understand their needs and challenges. Translate these insights into product features that address customer pain points.

7. Performance Monitoring: Implement analytics tools to monitor the performance platform. Utilize data-driven insights to continuously improve product performance and reliability.

Qualifications:

1. Experience: Minimum of 4 years in product management, with a focus on analytics and data heavy products.

2. Technical Knowledge: Strong understanding of cloud computing, data analytics, and cost optimization. Familiarity with Kubernetes and cloud infrastructure is a plus.

3. Analytical Skills: Proven ability to analyze complex data sets, extract meaningful insights, and use data to drive decision-making.

4. Communication Skills: Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

5. Leadership: Demonstrated leadership in driving product strategy, leading cross-functional teams, and delivering successful products.

6. Adaptability: Ability to thrive in a dynamic and fast-paced environment. Comfortable adapting to evolving market conditions and user needs.