Full-Time

Product Solutions Architect

Logs

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$151.5k - $222kAnnually

Senior

Boston, MA, USA + 3 more

More locations: San Francisco, CA, USA | New York, NY, USA | Denver, CO, USA

Hybrid workplace; in-office presence required.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Microsoft Azure
Python
AWS
Go
Google Cloud Platform
Requirements
  • strong experience with major cloud service providers like AWS, GCP, and Azure
  • familiar with Security and Compliance requirements for industry verticals
  • can dive deep into our Codebase, SDKs, and GitHub processes
  • Experience with languages like Python and Golang, and file formats such as JSON and YAML
  • self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes
  • deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams
  • Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
  • exceptional listening and consultative skills, for both internal and external audiences
  • experienced working with customers in high pressure situations where the solution is sometimes not obvious
  • Able to sit up to 4 hours, traveling to and from client sites
  • Able to travel via auto, train, or air up to 40% of the time
Responsibilities
  • Serve as the Product Expert on Datadog Log Management, Observability Pipelines, Sensitive Data Scanner, Log Workspaces, and Audit Trail
  • Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
  • Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
  • Capture repeat customer use cases and solutions and in turn publish Reference Architectures and Implementation Guides for Datadog prospect and customer consumption
  • Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
  • Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
  • Exercise the products you represent by building small scale deployments and proofs of concepts to verify proposed solutions and reproduce customer environments

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations track various aspects of their operations, including application performance, security, and network activity. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to analyze performance metrics and detect issues in real-time. This enables businesses to ensure their systems run smoothly and efficiently. Unlike many competitors, Datadog offers a wide range of monitoring solutions that cater to specific needs, such as cloud migration and IoT monitoring, all within a single platform. The company's goal is to help businesses optimize their IT operations and improve overall performance through effective monitoring and analytics.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

16%

1 year growth

36%

2 year growth

54%
Simplify Jobs

Simplify's Take

What believers are saying

  • Datadog's strategic partnerships, such as with JFrog, enhance its platform capabilities and expand its market reach.
  • The launch of new tools like Log Workspaces and Data Jobs Monitoring highlights Datadog's focus on improving user experience and operational efficiency.
  • Significant investments from entities like Riverview Trust Co and participation in funding rounds for AI startups indicate strong financial backing and growth potential.

What critics are saying

  • The competitive landscape in cloud monitoring and analytics is intense, with major players like AWS and Google Cloud posing significant threats.
  • Frequent introduction of new features may lead to complexity and potential integration issues for existing users.

What makes Datadog unique

  • Datadog's comprehensive suite of monitoring tools, including APM, security monitoring, and IoT monitoring, sets it apart from competitors who may offer more limited solutions.
  • Their scalable subscription-based pricing model allows them to cater to both small businesses and large enterprises, providing flexibility that many competitors lack.
  • The recent introduction of features like Live Debugger and Kubernetes Autoscaling demonstrates Datadog's commitment to continuous innovation and addressing real-time operational challenges.

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