Senior Product Manager - Release Platform

Posted:
9/17/2024, 5:21:21 AM

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

As the Release Platform PM, you’ll own the vision, roadmap, and execution of the Datadog Release Platform. You’ll work closely with product teams across Datadog, across the entire product portfolio to identify opportunities to generate customer value by spearheading cutting-edge features. 

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:

  • Own the end-to-end product management process for the Release Platform within Datadog.
  • Work closely with Engineering teams to define and grow the release platform and ensure they meet performance, security and reliability standards.
  • Define and own interfaces for teams to manage their deployments as well as internal tools consolidation and experience within the organization.
  • Influence decisions by providing technical consultation and direction to stakeholders.
  • Deliver technical marketing literature to generate awareness and drive adoption of platform features.
  • Define Key Performance Indicators (KPIs) for the platform and report on them to business and executive leadership.

 

Who You Are:

  • At least 5 years of experience as a Product Manager leading software development lifecycles (SDLC).
  • You have extensive experience and understanding working with cloud-native architecture.
  • You have excellent API lifecycle management, API gateways, load balancing, rate-limiting, throttling, security and charge models
  • You are obsessed with user experience and have built strong UI based products.
  • You possess a deep understanding of technologies across AWS, Azure, and GCP.
  • You possess the ability to gain a deep understanding of the system architecture and design concepts behind complex, enterprise-class software solutions at high transaction volumes.
  • Strong analytical skills and data-driven decision making mindset.
  • You have excellent communication skills and the ability to work effectively with technical and non-technical stakeholders.
  • You have a Bachelor’s Degree in Engineering, Computer Science, Information Technology, or equivalent experience.

Datadog values people from all walks of life. We know 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 experience, 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
  • 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$253,000 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