Real Estate Senior Manager

Posted:
9/11/2024, 2:02:40 AM

Location(s):
New York, New York, United States ⋅ New York, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Finance & Banking

Workplace Type:
Hybrid

We are seeking an experienced Global Real Estate Senior Manager with at least 10 years of experience in domestic and international corporate real estate.  This is a critical role within our global real estate team.  The Real Estate Senior Manager will optimize and lead global real estate project management and administration in a dynamic environment.   The role reports to the Vice President, Real Estate.

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:

  • Coordinate, execute and monitor all transaction processes (project initiation forms, market surveys, site tours, RFPs, LOIs, building evaluation matrixes, lease execution and transaction closeout) for all lease activity across multiple geographies.
  • Proactive management of lease transactions including negotiations, critical dates (breaks, renewals and expirations).
  • Develop the real estate portfolio database in alignment with the portfolio expansion.  
  • Review, analyze, and interpret financial analysis templates including cash flow projections, P&L, etc., to understand the financial impact of transaction scenarios.
  • Gather and evaluate economic, demographic, and real estate market data for input into deliverables.  Develop strong understanding of the wider market place in order to advise on trends and transactions.
  • Review, interpret and analyze lease documents, lease summaries and abstracts, and as well as other materials as part of the due diligence process.
  • Drive innovation and continuous improvement by bringing ideas forward to help differentiate the Datadog real estate team through efficiency and scalability to operate as, and deliver “best in class” results.
  • Assist VP, Real Estate in reporting objectives, transaction requirements, transaction updates and department KPIs.
  • Build strong working relationships and auditable processes with 3rd party brokers, Office Operations, Legal, Finance, Security & Safety, and Management across Datadog to optimize real estate transaction execution.

Who You Are: 

  • Minimum of a Bachelor’s degree in Business, Finance, Real Estate or Law 
  • Minimum 10 years experience in domestic and international corporate real estate experience
  • Minimum of 7 years experience managing employees
  • Well-developed management skills, with experience in team building and leadership
  • Minimum of 5 years experience within tech industry in a fast-growing environment
  • Outstanding people, communication, and problem-solving skills
  • Proven ability to initiate, manage, and successfully implement significant change processes
  • Proven track-record of data-driven decision making projects

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: 

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities 
  • Product training to develop an in-depth understanding of our product and space
  • Best in breed onboarding
  • Internal mentor and buddy program cross-departmentally
  • Friendly and inclusive workplace culture

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.

The reasonably estimated yearly salary for this role at Datadog is:
$140,000$220,000 USD

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.

Datadog

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