Staff Product Manager - Database Monitoring

Posted:
3/26/2024, 2:58:21 AM

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

Experience Level(s):
Senior

Field(s):
Product

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. 

Databases and data stores are a critical element in our customers applications and can be particularly complex to troubleshoot and optimize. Our Database Monitoring team is looking for an experienced product manager with background in this complexity to transform these problems for our customers from being elusive to being easy to identify and easy to solve without requiring database expertise. This PM has the passion, curiosity and drive to discover problems and ship solutions for these customers and environments. 

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: 

  • Develop a deep understanding of the latest issues our customers are having with their databases, and how they are operationalized across SRE teams, DBAs and application developers. Continuously refine your understanding of database management systems and datastores e.g. Postgres, SQL Server, Oracle, MongoDB, MySQL, etc
  • Co-define and build the next generation of database monitoring and optimization capabilities for our customers alongside an amazing engineering and design team 
  • Collaborate with other Product teams in Datadog to maintain and improve all Datadog products, improve the seamless integration across them, and help customers identify incidents root cause and navigate through telemetry faster
  • Partner with marketing and cross functional teams including sales, customer success and support teams, to define Go-To-Market plans and strategy for database monitoring, data observability and APM features

 

Who You Are: 

  • You have 5+ years of experience as a Product Manager (ideally working on an analytics or developer focused SaaS product)
  • You have either worked as a data engineer previously or possess a deep interest, understanding and knowledge in data engineering
  • 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

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.

The reasonably estimated salary for this role at Datadog ranges from $234,000 to $300,000, plus a competitive 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.

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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