Full-Time

Senior Technical Curriculum Developer

Data Science

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

$136k - $174kAnnually

+ Variable Compensation

Senior

Remote in USA

This is a remote position.

Category
Data Science
Data & Analytics
Required Skills
Bash
Python
Data Science
SQL
Requirements
  • approximately 6+ years of experience building e-learning curriculum, hands-on cloud infrastructure labs, and instructor-led training material for a data aware audience
  • hands-on experience or specialized knowledge and experience in building learning content for practitioners in any role who work with data at scale
  • experience creating reports and dashboards for content-based platforms such as websites, content catalogs, or blogs
  • familiarity with a growing team environment and involvement in identifying and implementing process improvements and strategy for the team
  • ability to transform dry data topics into engaging, informative and interesting educational materials
Responsibilities
  • Partner with our engineering and product teams to produce engaging high quality training courses and content for Datadog’s customer and partner curriculums, including self paced online programs, in-person training, workshops, hands-on labs, and webinars
  • Evaluate customer training requirements, and turn those requirements into a roadmap with clearly scoped courses that have well defined learning paths
  • Help create, maintain, and improve the technical systems and environments used in hands-on labs by other technical curriculum developers
  • Provide informal mentoring and coaching to more junior team members
  • Use your expertise in specific domains to build relationships within Datadog, identify opportunities for collaboration, and advocate for new training initiatives
  • Create reports in Metabase (SQL) and other analytics tools for the Customer Education team to provide insights on the performance of the Learning Center and learner engagement
  • Scripting in Python and Bash to build datasets and data use cases for learning content

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

55%
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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