Posted:
8/12/2024, 6:54:41 AM
Location(s):
New York, New York, United States ⋅ New York, United States
Experience Level(s):
Mid Level
Field(s):
IT & Security ⋅ Product
Workplace Type:
Hybrid
As Product Manager for security integrations you will be responsible for building compelling integrations with Datadog’s security products, primarily for the Cloud SIEM product. You will work closely with security vendors, customers, and experts to understand what capabilities are available, what data sources are most valuable, and how Datadog can meet the needs of security operations and DevSecOps teams today. You will significantly increase the number of security integrations for Datadog. In pursuit of these goals, you will work with product teams across Datadog to identify opportunities to improve our existing integrations and create many new ones. You will also partner with engineers, designers, and go-to market teams to drive adoption across thousands of customers and multiple product lines.
Datadog Cloud SIEM helps security organizations monitor, detect, respond and act on threats present within their Cloud and IT environments. At Datadog, our goal is to make security easy for customers to adopt, with turn-key solutions and DevSecOps best practices.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Your Privacy:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.
Website: https://www.datadoghq.com/
Headquarter Location: New York, New York, United States
Employee Count: 1001-5000
Year Founded: 2010
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: Analytics ⋅ Cloud Computing ⋅ Cloud Data Services ⋅ Cloud Infrastructure ⋅ Data Management ⋅ DevOps ⋅ Productivity Tools ⋅ SaaS