Posted:
9/30/2024, 6:18:03 AM
Location(s):
New York, United States ⋅ New York, New York, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Product
Workplace Type:
Hybrid
Datadog is seeking a customer-focused, data-driven, and results-oriented Head of Product Solutions Architecture (PSA) to join our high-growth organization and oversee our world-class global PSA team. This individual will chart the course, set the bar, and scale the team consistently across regions and verticals. Understand and clearly communicate Datadog’s technical vision and goals, and handle complex technical conversations between our internal teams, potential and current customers, and partners.
The team has grown to cover more than 12 Product Categories and needs a Head of Product Solutions Architecture to scale the function as we grow to $5B+ in revenue. This role oversees a high-performing team that consists of front-line managers and ICs in support of Datadog’s VPs of Technical Solutions, Product Management, Engineering, Enterprise Sales, and Marketing. They will also help design and build a Field CTO function to support a mix of different industries, and guide Sales leaders and Economic buyers on ROI, Value realization and white-space analysis.
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:
Who You Are:
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: (Describe opportunities offered here)
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