Opportunity at
ElasticSenior Product Manager, Control Plane - Platform
This is an on-site, full-time product role in the United States focused on the Control Plane, the team responsible for Elastic Cloud's backend and the orchestration…
Career Tools
About This Role
This is an on-site, full-time product role in the United States focused on the Control Plane, the team responsible for Elastic Cloud's backend and the orchestration layer of Elastic's products. The Senior Product Manager helps Elastic keep its market position by overseeing offerings that scale well and feel smooth for customers of every size. The holder shapes part of the roadmap for management, orchestration and scaling functions. Work includes setting…
Job Description
This is an on-site, full-time product role in the United States focused on the Control Plane, the team responsible for Elastic Cloud's backend and the orchestration layer of Elastic's products. The Senior Product Manager helps Elastic keep its market position by overseeing offerings that scale well and feel smooth for customers of every size.
The holder shapes part of the roadmap for management, orchestration and scaling functions. Work includes setting priorities alongside Engineering peers, coordinating go-to-market activity, messaging, competitive analysis and sales enablement with Sales and Marketing colleagues, and assembling insight from market and competitor trends, customer and community input, and product usage data.
Applicants should have four or more years of product management on technically deep products, familiarity with infrastructure cloud, distributed data stores and developer-centric software, and a demonstrated habit of using AI to speed up work while owning results. The team is spread across the globe, so comfort with independent work and clear asynchronous, direct and open communication are essential.
Responsibilities
- Define parts of the roadmap for management, orchestration and scaling
- Set priorities with Engineering counterparts
- Work with Sales and Marketing to shape go-to-market plans, messaging, positioning and enablement
- Pull together market, competitor, customer, community and usage data into product insight
Requirements
- Four or more years in product management for technically deep products
- Working knowledge of infrastructure cloud, distributed data stores and developer tooling
- Ability to move between teams and projects as business priorities shift
- Works independently and reaches decisions across a distributed team through clear asynchronous communication
Qualifications
- Hands-on familiarity with Elastic's product suite or with workloads such as log analytics, metrics, APM tracing and GIS mapping
- Regular use of AI tools in day-to-day work, plus exposure to open-source or commercial open-source companies
- Comfort in highly cross-functional work with a global, distributed group
- Egoless, empathetic, transparent and good-humored working style
Core Skills
Benefits
- RRSP retirement savings with a company match, dollar for dollar, capped at 6% of qualifying pay
- Compensation tied to the scope of the work, not to earlier salary
- Medical cover extending to family members in a number of locations
- Adaptable hours and places of work for many positions
- A generous annual holiday entitlement
- Donation matching of up to $2,000 (or local equivalent) for charitable giving and volunteering
- As many as 40 yearly hours for volunteer work of your choosing
- Minimum 16-week parental leave
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this role remote or on-site?
The posting lists the role as on-site in the United States.
What salary does the posting state?
The typical starting base salary is CAD 128,300 to CAD 203,000. The role has no variable compensation component.
How much experience is required?
The posting asks for four or more years of product management on technically deep products.
Does the posting mention retirement benefits?
Yes. It describes an RRSP plan with a company match, dollar for dollar, capped at 6% of qualifying pay.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.