Senior Product Manager - Dynamic Code Instrumentation

Posted:
10/7/2024, 8:32:44 AM

Location(s):
New York, New York, United States ⋅ New York, United States

Experience Level(s):
Senior

Field(s):
Product

Workplace Type:
Hybrid

At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

The Dynamic Instrumentation / Live Debugging team is building an exciting, brand new product that helps developers quickly troubleshoot and diagnose bugs and performance issues in complex distributed systems - bringing code-level observability into the hands of every developer. We're investing heavily in experiences that allow developers to dynamically instrument their applications and perform live debugging, in production, with the smallest possible performance overhead and rock-solid reliability. Come and join a team that cares about building software the right way.

As a Senior Product Manager for Dynamic Instrumentation, you will be working with a team of talented engineers to create innovative tools that use production observability data to help developers quickly diagnose and fix bugs and performance issues in their business-critical services.

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: 

  • Work closely with engineering to define potential instrumentation and debugging features and verify their technical viability. 
  • Validate new feature ideas with customers to ensure they can be successfully adopted.
  • Collaborate with other Product teams to integrate new experiences into existing Datadog products to maximize discoverability and adoption.
  • Partner with marketing and cross functional teams including sales, customer success , support teams and your own engineering team, to define Go-To-Market plans and strategy for AI Code Insights.

Who You Are: 

  • You have 6+ years of experience as a Product Manager (ideally working on an Observability or developer-focused SaaS product)
  • You have either worked as an engineer previously or possess a deep interest, understanding and knowledge in software development and/or Observability
  • You have excellent verbal and written communication skills and the willingness to present and defend your ideas to technical stakeholders and executives alike
  • You are customer focused with high quality standards for your products
  • You are passionate to work in a high growth and impact environment to build new products and scaling existing ones
  • Bonus: You are passionate about Observability technologies and like to work hands-on to understand their capabilities and limitations

Benefits & Growth:

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intra-departmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds
  • Access to Inclusion Talks, our Internal panel discussions
  • Free, global Spring 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.

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.

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