Manager I, Engineering - Code Analysis

Posted 22 Days Ago
Be an Early Applicant
New York, NY
Hybrid
187K-240K Annually
3-5 Years Experience
Artificial Intelligence • Cloud • Software • Cybersecurity
We are building the monitoring and security platform for developers, IT ops teams and business users in the cloud age.
The Role
Datadog is seeking a Manager I, Engineering - Code Analysis to lead a team of mid to senior engineers in building developer tools for code analysis. Responsibilities include technical leadership, team cultivation, relationship management, and agile process implementation. The role requires experience in backend languages, data stores, distributed systems, and a passion for working in a fast-paced startup environment.
Summary Generated by Built In

Datadog's Code Analysis is building the next generation of developer tools for our customers to deliver Datadog visibility and monitoring to their code base. We will use tools such as static analysis and vulnerability scanners to detect and prevent both quality and security vulnerabilities in code before they get into production.
We're looking for a hands-on technical leader to cultivate this team of mid to senior engineers, while also helping to shape the ambitious product roadmap to ensures Datadog's shift left strategy towards providing value to developers..
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:

  • Lead technical and architectural discussions to better understand challenges and problems faced by our team and the engineering community
  • Stay in touch with your team's code, and roll up your sleeves when needed to unblock your team by writing code or troubleshooting issues
  • Lead and cultivate a team of engineers with a diverse skill-set, including performance management and career development
  • Own and drive relationship with product teams and major stakeholders helping to prioritize on impact towards the team's north star
  • Run a lightweight agile process to pace and track what we work on and deliver high quality work on a timely manner
  • Run OKR process to define and align team's quarterly goals with the needs of the business and platform


Who You Are:

  • Experience building out robust customer-facing products made up of services, data stores and data streams prioritizing customer impact and sustainability
  • Proven ability to work closely with product and internal teams to architect solutions at high scale
  • You have significant experience in one or more backend languages, such as Go, Python or Java; and with different types of data stores, such as PostgreSQL, Cassandra, Redis or ElasticSearch
  • You understand the common industry patterns for ensuring high availability and performance in distributed systems
  • Passionate to work in a fast-paced, high-growth startup environment providing leadership and direction for a highly technical team
  • You have experience with or interest with static analysis tools or an interest in this area


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 & 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.
The reasonably estimated salary for this role at Datadog ranges from $187,000 to $240,000, plus a competitive 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.
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:
$187,000 - $240,000 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 .

Top Skills

Go
Java
Python

What the Team is Saying

Darcy
Kyvaune
Mia
Zina
Cameron
LJ
Micah
Wissal
The Company
New York, NY
5,000 Employees
Hybrid Workplace
Year Founded: 2010

What We Do

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.

Why Work With Us

At Datadog, we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems, innovate pragmatically, and grow together. We promote from within, provide mentorship and opportunities for career development, and support our colleagues in the process. Best of all? We truly love what we do.

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Datadog Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
New York, NY

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