Partner Solutions Architect (GSI) - AMER East

Boston, United StatesHybrid

Responsibilities

Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
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;

experience of IT Development and/or Operations
experience in a customer or partner facing technical role
experience in two or more of the following areas:
Public Cloud: AWS, Azure, GCP, or Alibaba
Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.) Previous
experience using Datadog and/or other cloud monitoring tools (APM,
experience with root-cause-analysis, troubleshooting, debugging
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.
It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.
Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.

CI / CD: Jenkins, Gitlab • Bonus Points: Previous
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
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.
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: $143,000 — $190,400 USD

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful.
The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director of Partner Solutions Architects, and is aligned to our Channels & Alliances business segment.
The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation).
They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success.
The PSA is a trusted technical advisor for our Partner channel.
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:
Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
Continuously help curate and evolve lead/best practices for Datadog platform adoption and success. Who You Are:
Has a demonstrable track-record and never-ending passion for learning; successful candidates for this position typically have 10-15 years of