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Full-Time

Partner Solutions Architect

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Senior, Expert

London, UK

Hybrid workplace; requires some in-office presence.

Category
Solution Engineering
Sales & Solution Engineering
Requirements
  • Possess a solid technical grounding with hands-on experience of IT Development and/or Operations
  • Has a demonstrable track-record and never-ending passion for learning; successful candidates for this position typically have 10-15 years of experience in a customer or partner facing technical role
  • A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom
  • Confident presentation skills
Responsibilities
  • Ensure the successful onboarding, training, enablement, and certification of partner technical resources
  • Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams
  • Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices
  • Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution
  • Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities
  • Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities
  • Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

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 health. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to visualize and analyze this information in real-time. This helps businesses ensure their systems are running smoothly and efficiently. What sets Datadog apart from its competitors is its wide range of features that cater to different needs, such as cloud migration, DevOps practices, and IoT monitoring, all within a single platform. The company's goal is to support organizations in maintaining optimal performance and security of their IT infrastructure, regardless of their size or industry.

Company Stage

IPO

Total Funding

$147.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

11%

1 year growth

24%

2 year growth

52%
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.