Datadog

Manager II, Engineering - Logs

New York, New York, USA · Mid

Sponsorship not specified$234k-$300kDetected 19 days ago

DatadogAccessibilityProduct StrategyCollaboration

About the role

We understand not everyone will meet all the above qualifications on day one.
Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.
Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Act as a key collaborator across Datadog, building strong partnerships with platform and infrastructure teams to ensure a highly reliable, scalable and performant product.
Invest in the next generation of engineering leaders - growing your managers, expanding their impact, and building a high-performing engineering organization where people continuously develop and thrive.
Build an inclusive environment focused on fostering top-tier talent, ensuring that diverse perspectives are leveraged to build the best possible solution
Passionate about developing people - you've grown leaders before, and you're known for creating opportunities for others to step up and expand their impact
As an Engineering Manager II at Datadog, you will own a significant portion of the Logs business - one of Datadog's largest and most strategic products, with major growth opportunities still ahead.
Sitting at the table where strategy is defined, you will drive execution across a ~30-person engineering org at an exciting moment of product evolution where AI is pushing us to rethink how we handle observability data.
This is a high-scope role for someone energized by hard problems, eager to grow at the intersection of business and engineering excellence, and driven to build a product that radically transforms how engineering teams around the world operate and resolve incidents.

An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Datadog offers a competitive salary and equity package, and may include variable compensation.
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Free, global mental health benefits for employees and dependents age 6+
Competitive global benefits
Own the success of the Logs business for your scope - co-define the Logs technical roadmap and product vision with Product, Design, and peer leadership.
You will blend an understanding of customers, markets, and revenue drivers with deep engineering rigor to deliver our core vision
A business owner at heart - you think in markets, customers, and revenue, and you bring Product, Design, and Engineering together around a shared vision
Technically curious and continuously learning - you have the engineering foundation to earn trust, and the humility to keep deepening your understanding
Benefits and Growth:

Manage the complexity of a large organization - anticipating risks, resolving friction, and keeping teams focused on what matters to our customers
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.
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.
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.
It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Here are our Candidate Legal Notices for your reference.
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t 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

This listing is sourced directly from Datadog's careers page and normalized into a canonical job model.