Engineering Manager II - Data Science

Posted:
8/13/2024, 9:22:38 PM

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

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Workplace Type:
Hybrid

The mission of the Data Science team is to improve observability, efficiency, security, and drive business growth for Datadog customers by augmenting Datadog products with smarter and differentiated solutions. This includes designing and building algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis

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.

The Opportunity

As an Engineering Manager II in the Data Science org, you will lead and grow a team of Data Scientists and Software Engineers to help build and improve the growing suite of Watchdog products and features. You will work closely with our engineering and product partners to prioritize and solve high-impact customer problems by augmenting Datadog products with Watchdog features. You’ll be responsible for the strategy and execution of the product while developing and growing a team of talented engineers and data scientists.

 

What You’ll Do: 

  • Leadership: Drive the vision and strategy for the teams, ensuring alignment with the overall goals.

  • Team Oversight: Provide guidance and support to the Engineering Managers and ICs within sub-teams, fostering a collaborative and high-performing work environment.

  • Technical Excellence: Ensure the teams maintain high standards of code and model quality, performance, and reliability across all systems and services.

  • Innovation and Improvement: Identify opportunities for innovation and continuous improvement within the systems and models, promoting best practices and new technologies.

  • Talent Management: Lead hiring efforts to attract and retain top talent, ensuring the growth and development of team members through mentoring and professional development opportunities.

  • Cross-functional Collaboration: Work closely with other teams and stakeholders to provide the underlying primitives required to execute the vision of the product

 

Who You Are: 

  • A proven leader with experience in building out Data Science and Machine Learning features and products. 

  • You have experience in managing managers, as well as overseeing teams of software engineers and data scientists.

  • Experience in setting and executing innovation strategies at both technical and organizational levels to drive business objectives.

  • Experienced in working and communicating effectively in a fast-paced, high growth, distributed organization.

  • You have significant experience applying data science and machine learning to real business problems.

  • You have partnered with product management and design teams in the past to set the vision and strategy for your projects

  • You have a track record of motivating teams and managers by setting clear and ambitious goals, and providing the support and coaching required to achieve them

Bonus points (any of the following):

  • Strong foundation in machine learning fundamentals, modelling techniques, and the productionization of machine learning models.

  • Experienced in developing large-scale models and deploying them in production systems.

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