Product Manager for Elastic Cloud

Elastic is the world's leading software provider for making structured and unstructured data usable in real time for search, logging, security, and analytics use cases. Founded in 2012 by the people behind the Elasticsearch, Kibana, Beats, and Logstash open source projects, Elastic's global community has more than 80,000 members across 45 countries, and since its initial release. Elastic's products have achieved more than 100 million cumulative downloads.

We are looking for a product manager to drive the success of the Elastic Cloud platform, Elastic’s own cloud offering. Elastic Cloud is the fastest growing product of Elastic and we need your help in making it even better and bringing it to its fullest potential. If you live and breath SaaS, analytics and cloud and have experience with developer-targeted SaaS platforms, this job is for you!

• Gather requirements from customers, sales and Elastic’s own operations team and help with ongoing prioritization of features
• Define KPIs to collect and analyze. Use this data to identify trends and make recommendations on how the platform can be optimized and improved, including (but not limited to) UX, pricing, packaging and product offerings
• Support the sales team on customer engagements and take part in sales enablement activities within Elastic
• Provide engineering with inputs on new and existing features and make sure they’re aligned with customers needs.
• Work with the marketing and product marketing teams on messaging, positioning and launch activities.

• BA or a higher degree in a technical field (e.g. EE, CS)
• Solid understanding and familiarity with cloud technologies (such as AWS, Azure, and GCP) and developer-focused SaaS products
• Technical aptitude and attention to detail
• Excellent spoken and written communication skills
• 3+ years of proven track record in product management at a SaaS software company
• Preferred skills and experience:
  • Experience with Open Source software and/or commercial open source companies.
  • Experience building and/or operating a SaaS product
  • Experience with search, logging, and analytics products in the big data ecosystem (Elasticsearch, Solr, Hadoop, MongoDB, Spark etc)