Engineering Manager I - Revenue Query

Posted:
10/10/2024, 9:24:52 PM

Location(s):
Ile-de-France, France ⋅ Paris, Ile-de-France, France

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
Product

Workplace Type:
Hybrid

As the Engineering Manager for the Revenue Query (RQ) team at Datadog, you will lead the team responsible for evolving our usage and billing query experience, which supports both our public APIs and in-app experience. You'll oversee the scalability and operation of our infrastructure, utilizing technologies like Postgres, Spark, Python, and Go across major cloud providers. Collaborating closely with Product Managers, you’ll influence the development of new products and ensure alignment with customer needs.

This role offers significant growth potential as you strengthen your people management and technical leadership skills, while taking ownership of the team’s roadmap and addressing key challenges in data ingestion and performance.

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:

  • Lead and Manage Team: Oversee a team of engineers, providing mentorship and fostering their professional growth while ensuring high performance.

  • Enhance API experience: Drive the development and optimization of usage and cost APIs, ensuring they meet internal and external customer needs.

  • Collaborate with Stakeholders: Work closely with peer Managers, Product Managers and Technical Project Managers to align project goals and influence the evolution of customer-facing features.

  • Ensure Scalability and Performance: Take ownership of the infrastructure’s scalability and operational efficiency, utilizing technologies such as Postgres, Spark, Python, and Go across the 3 major cloud providers.

  • Roadmap Management: Develop and maintain the team’s roadmap, prioritizing initiatives that align with company objectives, customer value and infrastructure optimization.

  • Address Technical Challenges: Identify and resolve challenges related to data ingestion and performance, driving continuous improvement within the team and processes.

 

Who You Are: 

  • People Management Experience: Minimum of 2 years of experience managing engineering teams, with a focus on mentoring and developing talent.

  • Technical Proficiency: Familiarity with technologies such as Python, Go, Spark, and data infrastructure management.

  • Strong Communication Skills: Proven ability to communicate effectively with technical and non-technical stakeholders, facilitating collaboration across teams and across time zones.

  • Partnership Skills: Experience in building strong relationships with Product Managers and cross-functional teams to drive project success.

  • Customer-Facing Experience: Understanding of customer needs and experience in delivering solutions that enhance the user experience.

  • Problem-Solving Ability: Strong analytical skills to identify challenges and implement effective solutions in a dynamic environment.

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.


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