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Datadog

Manager II, Engineering - Graphing

Sorry, this job was removed at 02:10 p.m. (PST) on Monday, Aug 18, 2025
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Hybrid
New York, NY
234K-300K Annually
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Hybrid
New York, NY
234K-300K Annually

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The Visualizations org at Datadog owns all data visualizations in the Datadog platform, which are a core part of Datadog's cloud observability offering. It is part of the Graphing group which is responsible for core surfaces including, but not limited to, Dashboards, Notebooks, and Sheets. 

We are looking for a Senior Manager of Engineering to take this organization to the next level, who can bring strong technical leadership and data visualization expertise to identify and prioritize challenging problems with a cross functional approach, and maintain Datadog's position as a leader and innovator in the cloud observability space. 

In your role, you will build deep partnerships across engineering and product management to influence a fast-growing product space. You will build and operate teams responsible for Datadog's suite of data visualization products including the extended product experience across multiple product lines, working cross-functionally with the objective of elevating our data visualization experiences across the entire Datadog platform. 


At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.


What You’ll Do:

  • Own the vision and delivery for the data visualizations across multiple product lines.
  • Coach, mentor and grow leaders in your area to evolve your org.
  • Partner with multiple product orgs to build a product-first mindset while resolving complex platform-level features.
  • Build relationships with customers and understand their pain points to build and drive the product forward.
  • Support multiple product lines to elevate the visualization experience across newer personas.
  • Foster the culture of innovation that has made Datadog a leader in the cloud observability space.

Who You Are:

  • You have proven experience leading the design, development, and implementation of complex, high-performance web applications using modern front-end technologies (Webtech, TypeScript, JavaScript, React). Strong understanding of responsive design, cross-browser compatibility, and performance optimization.
  • You’ve been responsible for building and/or rolling out a large scale product platform change solution across a large engineering organization and stack. In this role, you should have managed teams of around 30 with the added complexity of managing managers.
  • You have a deep understanding of the challenges involved in developing data visualization platforms, and care about how we present high cardinality datasets to customers while working closely with product and design to define solutions.
  • You’ve developed engineering leaders and teams who provided critical services for engineering. You've developed and hired talent in a group, motivating people by creating long-term plans for growth.
  • You've been able to drive strong consensus and build solutions in a space for which nobody has declared "ownership", convincing people to move forward into a new governance model and advocating for the value this will create.
  • You've developed strong relationships with product owners (internally or externally) and you've negotiated and advocated for your requirements, created gap analysis and tactical plans to keep a productive relationship with the products and solutions your team depends on.

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:

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our Internal panel discussions
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits

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:
$234,000$300,000 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 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

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 San Francisco, California, USA Office

We are located in Downtown San Francisco, right across the street from Salesforce Tower. The Ferry Building and Embarcadero are just a few minutes away by foot.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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