Datadog

Manager I, Engineering - APM Serverless

Datadog$192K — $240K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of engineering management experience with a strong product shipping record
  • Proficiency in two or more programming languages
  • Deep understanding of cloud environments including AWS, Azure, and GCP
  • Experience with distributed systems and tracing technologies
  • Passion for open-source software development

Responsibilities

  • Lead and mentor a diverse team of engineers focused on serverless capabilities
  • Collaborate with cross-functional teams to enhance instrumentation across multiple languages
  • Develop strategies for integrating distributed tracing across major cloud platforms
  • Navigate complex technical domains including Lambda, Azure Functions, and GCP
  • Facilitate the creation and maintenance of clean, reliable APIs

Benefits

  • New hire stock options and employee stock purchase plan
  • Opportunities for professional development and career advancement
  • In-house mentorship and networking programs
  • Inclusive culture with employee resource groups
  • Global mental health support for employees and dependents
  • Comprehensive benefits package including healthcare and parental planning
Full Job Description
As the Engineering Manager for APM Serverless, you will help define and deliver the end-to-end serverless APM experience, from auto-instrumentation through troubleshooting, and ensure that OpenTelemetry and Datadog-native customers alike have a frictionless and performant journey. You will also lead efforts to expand coverage of cloud-managed services across providers, ensuring customers can seamlessly trace and monitor critical services in all major and emerging cloud environments.

We're looking for an experienced engineering leader who thrives at the intersection of infrastructure and developer experience. You should care about well-designed APIs, observability-first thinking, and building systems that empower other developers. This is a high-leverage role that will influence how developers across the industry understand and instrument their serverless workloads.

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 a polyglot team of 8-9 engineers and partner closely with Product and Engineering teams across Datadog to deliver industry-leading serverless capabilities that power consistent, scalable, and intuitive instrumentation across languages.
  • Drive a domain that is technically rich: Lambda, Azure Functions, GCP, OTel billing, Rust, durable functions, distributed tracing across managed services. Engineers on this team work across languages, clouds, and deployment models - and the problems they solve are genuinely hard.
  • Partner with the product manager to shape the strategy and execution for our 3 main clouds - AWS, Azure and GCP, in addition to being at the cutting edge of new managed platforms and how we can bring distributed tracing to them.

Who You Are:
  • An experienced Engineering Manager with a track record of shipping products.
  • Highly collaborative
  • Experienced in two or more languages and comfortable building cross-runtime systems.
  • Have a passion for libraries and OSS software development
  • You care about developer experience, clean APIs, and reliable systems.
  • An ability to pivot from high level product narratives to highly technical implementation details (and articulate how one impacts the other)
  • You are comfortable with partner and stakeholder management


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.

#LI-Hybrid

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:

$192,000-$240,000 USD

About Datadog

Datadog is a monitoring and analytics platform for cloud-scale infrastructure and applications. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc and is headquartered in New York City. Datadog's platform assists organizations in improving agility, increasing efficiency, and providing end-to-end visibility across dynamic or high-scale infrastructures. The company's SaaS-based data analytics platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of customers' entire technology stack. Datadog's customers include Airbnb, Twilio, and The Washington Post.
Learn more about Datadog
Size
3,200 employees
Market Cap
$22.5 billion
Industry
Net Income
-$24.5 million
Founded
2010
Revenue
$603.4 million
NASDAQ

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