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# Senior Developer Advocate – Modern App Development

AI Summary Datadog is seeking a senior Developer Advocate to help developers adopt modern observability practices across AI-accelerated software workflows. The role combines hands-on multi-stack engineering with public technical content, open-source tooling, developer education, and community engagement. The successful candidate will translate developer feedback into product insights while building quickstarts and templates for platforms such as Vercel, Supabase, AWS, GCP, and Azure. This is a highly senior, externally visible role requiring deep software engineering credibility and a strong public portfolio. The position is remote for candidates located in California, Nevada, Texas, or Washington, USA.[Apply for this job](#job-application)[View company](https://jobicy.com/company/datadog.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 172k–215k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished12 Nov 2026Apply before12 Dec 2026Listing views44Application actions4Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

Opportunity details

## About this role.

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on AI-accelerated workflows and next-generation developer ecosystems, you will have the opportunity to meet fast-moving teams where they are, helping them lay strong engineering foundations and broadening your impact to the developer community at large. This is a unique opportunity to use both your engineering depth and authentic storytelling skills to shape how the next wave of builders approach software health, scalability, and observability.

###
What You’ll Do:

* Help developers hone their craft in an AI-accelerated world by exploring how AI coding assistants and rapid-prototyping tools change software workflows, and guiding teams on how to balance rapid prototyping with established engineering practices around performance, code health, and system reliability.
* Build in public by creating authentic, peer-to-peer technical content, sharing your engineering insights directly where modern developers collaborate in person and online.
* Drive a constructive, bidirectional feedback loop between fast-moving developer communities and our internal teams, translating real-world developer experiences into actionable product insights to shape our roadmap while advocating for user needs from the inside.
* Design and ship high-quality open-source boilerplate templates, quickstarts, and tools that make integrating observability seamless across AI native workflows, next-gen platforms (Vercel, Supabase, etc.), and cloud providers (AWS, GCP, Azure).

###
Who You Are:

* A builder with approximately 10+ years of software engineering experience, ideally having shipped applications from scratch or worked within an early-stage startup environment where you’ve worn multiple hats.
* An AI-fluent developer who natively leverages AI coding assistants and rapid-prototyping tools as a core part of your regular, day-to-day development workflow.
* Multi-stack familiar, comfortable writing and debugging code across multiple programming languages (such as JavaScript/TypeScript or Python) and experienced with deployment paradigms spanning next-gen platforms and traditional cloud ecosystems.
* An authentic communicator with approximately 3+ years of experience in technical storytelling and community engagement, backed by a publicly available portfolio of peer-to-peer artifacts like GitHub repositories, technical blogs, video walkthroughs, or public speaking presentations.
* A forward thinker who loves self-driven exploration of emerging technologies, and is deeply passionate about developer education, mentorship, and helping other engineers hone their craft.

### Bonus points:

* Active community presence or leadership: You are an active participant, contributor, or moderator in developer spaces (such as meetups, Discord, Reddit, or open-source ecosystems focused on next-gen tech).

[Datadog](https://jobicy.com/company/datadog.md) values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

### Benefits and Growth:

* New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
* Continuous professional development, product training, and career pathing
* Intradepartmental mentor and buddy program for in-house networking
* An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
* Access to Inclusion Talks, our Internal panel discussions
* Free, global mental health benefits for employees and dependents age 6+
* Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

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:

$172,000—$215,000 USD

About Datadog:

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](https://www.instagram.com/datadoghq/?hl=en), [LinkedIn,](https://www.linkedin.com/company/datadog) and [Datadog Learning Center.](https://learn.datadoghq.com/)

Equal Opportunity at Datadog:

Datadog is proud to offer [equal employment opportunity](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our [Candidate Legal Notices](https://www.datadoghq.com/legal/candidate-legal-notices/) for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete [this form](https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform). This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s [Applicant and Candidate Privacy Notice](https://www.datadoghq.com/legal/applicant-candidate-privacy/). For information on our AI policy, please visit [Interviewing at Datadog AI Guidelines](https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/).

Show more

[Apply now >](https://jobicy.com/jobs/161516-senior-developer-advocate-modern-app-development.md)

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![Upload CV](data:image/svg+xml;base64,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)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThe role requires approximately 10+ years of engineering experience, fluency with AI-native development workflows, and the ability to create credible public technical materials. It also demands independent technical exploration and strong influence across external communities and internal product teams.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$193,500US market range (per year)$170k–$230k0$253.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Datadog explicitly lists a yearly base salary range of $172,000 to $215,000 USD, with a midpoint of $193,500 per year. A reasonable estimated US market range for a senior developer advocate with extensive engineering and public-facing technical experience is $170,000 to $230,000 per year. Equity and potential variable compensation are separate from the stated base salary range.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Software engineering](https://jobicy.com/jobs?search_keywords=Software%20engineering.md)[Developer advocacy](https://jobicy.com/jobs?search_keywords=Developer%20advocacy.md)[Technical storytelling](https://jobicy.com/jobs?search_keywords=Technical%20storytelling.md)[Open-source development](https://jobicy.com/jobs?search_keywords=Open-source%20development.md)[AI coding assistants](https://jobicy.com/jobs?search_keywords=AI%20coding%20assistants.md)[JavaScript](https://jobicy.com/jobs?search_keywords=JavaScript.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Cloud platforms](https://jobicy.com/jobs?search_keywords=Cloud%20platforms.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Microsoft Azure](https://jobicy.com/jobs?search_keywords=Microsoft%20Azure.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Developer community engagement](https://jobicy.com/jobs?search_keywords=Developer%20community%20engagement.md)[Technical writing](https://jobicy.com/jobs?search_keywords=Technical%20writing.md)

Sample interview questionsHow would you evaluate whether an AI coding assistant improves a development team's workflow without harming code quality?I would establish baseline measures for delivery speed, review cycle time, defect rates, test coverage, and production reliability. I would then run a controlled adoption period, pair the tooling with clear review and testing practices, and collect qualitative developer feedback. The goal is to identify where AI accelerates routine work while retaining engineering controls for architecture, security, and maintainability.

Describe how you would create an open-source quickstart for observability on a platform such as Vercel or Supabase.

I would begin with a concrete developer problem and build a minimal, runnable reference application that demonstrates instrumentation, useful dashboards, and a troubleshooting workflow. The repository would include clear setup instructions, secure configuration examples, automated tests, and deployment guidance. I would validate it with developers unfamiliar with the product and iterate based on the points where they struggle.

How do you turn community feedback into useful product feedback for internal teams?

I synthesize recurring feedback into themes, preserve representative examples, and distinguish feature requests from underlying user problems. I prioritize insights using frequency, customer impact, strategic relevance, and implementation context. I then present actionable findings to product and engineering partners and close the loop publicly when improvements are made.

What makes technical content credible to experienced developers?

Credible content is specific, technically accurate, reproducible, and honest about trade-offs. It should be built from real implementation experience rather than marketing claims, include code or practical examples, and explain when a recommended approach may not fit. Peer review and public feedback are valuable mechanisms for maintaining trust.

How would you balance public advocacy with representing internal product priorities?

I would advocate for developers by communicating their needs clearly and accurately inside the company, while externally sharing guidance that is useful even when it includes constraints or trade-offs. I would avoid overstating product capabilities and maintain transparency when a workflow has limitations. Trust is built by being technically honest, responsive, and consistent across both audiences.

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