Senior Product Manager - Flex Logs

New York, New York, USA


About 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 Team:

Logs are critical to ensuring the availability, security/compliance and performance of modern applications, but as log volumes grow exponentially year over year, realizing value from the mountain of data becomes increasingly difficult and expensive. Datadog’s Log Management is a next generation log warehousing and analytics product, committed to giving our customers the fastest, most-flexible, and easy to use log exploration experience - from event generation to query - while helping them maintain a healthy budget. 


The Opportunity:

The Senior PM - Log Analytics Workspace role is responsible for defining and bringing to market the next generation of log exploration on top of our new Third-Generation Event Store. This role is highly technical and creative in nature as you will envision novel ways to enable customers to cost-effectively explore, analyze and report over petabytes of data through a welcoming and easy-to-use interface.

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:

  • Define the vision, strategy, and product roadmap for Log Analytics Workspace and make it immediately valuable to customers
  • Gather insights from customers, partners, and internal data to become an expert on how customers want to store, analyze, and report on data for long term needs
  • Work closely with Datadog’s Platform, Security Monitoring, and Dashboards teams to build solutions for complex workflows, scheduled queries, and reporting
  • Surface out of the box insights based on log telemetry, speeding up customer’s troubleshooting experience
  • Develop multi-step log query capabilities that help customers solve various use cases
  • Partner with Product Solution Architects to write blogs and how-to guides on getting started with querying for specific use cases, security workflows, and industry verticals


Who You Are: 

  • A Bachelor's Degree in Computer Science or Engineering or equivalent experience
  • 3+ years of experience in B2B SaaS Product Management
  • At least 2+ years of experience with databases, data warehouses, SQL concepts & language, BI products, and/or distributed systems
  • Hands on experience using multiple services from one or more of the major cloud providers (AWS, Microsoft Azure, Google Cloud)
  • Demonstrated track record of shipping successful data reporting and data workflow product offerings in the cloud
  • Prior experience with Amazon S3, Snowflake, Splunk or Tableau is a strong plus


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.



#LI-KM7

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.