Datadog

Partner Technology Solutions Engineer

Datadog$144K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in a technical role (Support Engineering, Solutions Architecture, or Software Development)
  • Proficient in at least one language (Python or Go preferred)
  • Understanding of monitoring fundamentals (Metrics, Logs, Traces) and OpenTelemetry
  • Ability to explain complex technical concepts to developers of varying skill levels
  • Experience with APIs, Linux environments, and cloud infrastructure

Responsibilities

  • Act as the technical lead for partners, advising on integration processes
  • Perform architectural assessments and code reviews for partner integrations
  • Resolve complex technical challenges through various communication tools
  • Identify friction points in the Integration Developer Platform and collaborate with internal teams
  • Maintain developer documentation and internal tracking systems to ensure transparency

Benefits

  • Generous professional development and equipment budget
  • Best-in-class, high-growth technical culture
  • Impactful role at the center of Datadog's growth
  • Inclusive workplace valuing diverse backgrounds and experiences
Full Job Description
The Team

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog's worldwide growth by educating potential partners and ensuring that our integration ecosystem is high-performing, secure, and valuable.

Partner Technology Solutions Engineers (TSEs) are the technical bridge between Datadog and our third-party developer community. We act as consultants, helping partners build world-class monitoring solutions on the Integration Developer Platform (IDP).

The Opportunity

Datadog is looking for a Partner Technology Solutions Engineer to join our fast-paced team. You will be the primary technical contact for our partners, guiding them through the entire integration lifecycle-from initial architectural design to final publication on the Datadog Marketplace.

This is a unique role that combines deep technical troubleshooting with high-level consulting and platform advocacy. You will work directly with external developers and see your contributions immediately reflected in the Datadog ecosystem.

You Will
  • Act as the technical lead for partners, advising on OAuth flows, log pipelines, OpenTelemetry, and agent-based vs. API-based configurations
  • Perform architectural assessments and deep-dive code reviews for partner integrations in the integrations-extras and marketplace repositories, ensuring they meet our Quality Rubric
  • Solve complex technical challenges for partners via Zendesk, Slack, and dedicated technical consultations
  • Identify friction points in our Integration Developer Platform (IDP) and partner with our internal Product and Engineering teams to build a better developer experience
  • Maintain public-facing developer documentation and internal tracking systems (JIRA) to ensure transparency and scale
You Are
  • A technical expert with 3+ years of experience in a technical role (Support Engineering, Solutions Architecture, or Software Development)
  • Proficient in at least one language (Python or Go preferred)
  • An observability enthusiast who understands monitoring fundamentals (Metrics, Logs, Traces) and modern standards like OpenTelemetry
  • A natural consultant with the ability to explain complex technical concepts to developers of varying skill levels
  • A tinkerer who is comfortable working with APIs, Linux environments, and cloud infrastructure
  • Someone who thrives in a hybrid work environment and values pragmatism, honesty, and simplicity
    Bonus
    • Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
    • You're motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Why You Should Apply
  • Generous and professional development and equipment budget
  • Best-in-class, high-growth technical culture
  • Impactful role at the center of Datadog's growth
  • Inclusive workplace that values diverse backgrounds and experiences

#LI-Hybrid

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:

$144,000-$180,000 USD

About Datadog

Datadog is a monitoring and analytics platform for cloud-scale infrastructure and applications. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc and is headquartered in New York City. Datadog's platform assists organizations in improving agility, increasing efficiency, and providing end-to-end visibility across dynamic or high-scale infrastructures. The company's SaaS-based data analytics platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of customers' entire technology stack. Datadog's customers include Airbnb, Twilio, and The Washington Post.
Learn more about Datadog
Size
3,200 employees
Market Cap
$22.5 billion
Industry
Net Income
-$24.5 million
Founded
2010
Revenue
$603.4 million
NASDAQ

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