Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Manager II, Developer Advocacy
- Remote from
- USA
- Salary
- USD 212k–265k / yr
- Department
- Marketing & Sales
- Employment
- Full Time
- Experience
- Senior
- Published
- Apply before
- 9 Dec 2026
- Listing views
- 15
- Application actions
- 0
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About this role.
Developer Advocates at Datadog are engineers who share their expertise with technical practitioners, help customers tell their stories, and represent the perspectives of our community inside Datadog.
As a Manager II on the Advocacy team, you will lead our Community Advocacy functions. You will manage a team of Developer Advocates responsible for global programs such as Datadog Ambassadors, Champions, and User Groups, as well as opportunities for customer engineers to share their expertise through technical writing, public speaking, and other community contributions.
Across these interconnected programs, your team will enable customer engineers to contribute technical knowledge, lead communities, and turn their experiences into compelling content and conference talks for Datadog and third-party channels. This role combines people leadership, program strategy, technical judgment, and cross-functional influence to amplify authentic customer voices, deepen understanding of Datadog and its products, and foster a thriving community of practitioners.
What You’ll Do:
- Lead and develop a team of Developer Advocates, setting clear expectations, guiding priorities, coaching performance, supporting career growth, and fostering an inclusive, high-performing culture
- Own the strategy, goals, and roadmap for Community Advocacy, translating broader Advocacy and company priorities into focused programs and measurable outcomes
- Guide the continued development of our Ambassador, Champion, and User Group programs, creating clear contributor journeys, expectations, enablement, recognition, and opportunities for customer engineers to increase their impact
- Build repeatable systems that enable customer engineers to contribute technical knowledge, create content, share best practices, and serve as trusted leaders within their communities
- Develop a strong pipeline of customer stories by identifying compelling practitioners and helping them shape authentic, technically credible narratives
- Oversee the support, co-development, and coaching of conference talks by customer engineers—from identifying an idea and developing an abstract through content review, rehearsal, and delivery—for Datadog events, including our flagship user conference, DASH, as well as third-party industry conferences
- Establish measures of success for Community Advocacy, using qualitative and quantitative insights to evaluate program health, contributor engagement, content quality, audience impact, and customer outcomes
- Partner closely with Product, Engineering, Marketing, Events, Customer Success, and regional teams to align priorities, identify opportunities, and scale customer participation across Datadog initiatives
- Ensure insights from Ambassadors, Champions, User Group participants, speakers, and other community members are shared with the appropriate teams inside Datadog, strengthening the connection between our customers and our products
- Balance strategic leadership with selective hands-on contribution, including coaching speakers, reviewing technical content, participating in community programs, and representing Datadog when appropriate
Who You Are:
- You are an experienced people manager who has led autonomous technical professionals, coached performance, developed talent, and translated complex goals into achievable plans
- You have experience defining and delivering successful developer advocacy, developer relations, technical community, or a related functions
- You have built or meaningfully contributed to programs that enable external practitioners to participate, contribute, create content, or lead communities at scale
- You have experience helping technical practitioners develop and communicate their stories, including coaching conference speakers or co-developing technically credible talks and content
- You are a former software developer, SRE, or other technical practitioner—or have equivalent technical depth—with the judgment needed to assess technical accuracy and coach effective technical narratives
- You are a thoughtful cross-functional leader who can build alignment, make prioritization decisions, and influence partners across Product, Engineering, Marketing, Events, and customer-facing organizations
- You use both data and community insight to evaluate program effectiveness, identify opportunities, and make decisions about where the team should invest
- You understand how to build trust with technical communities and value authentic practitioner voices over purely promotional messaging
- You are comfortable operating through ambiguity, establishing structure where needed, and evolving programs as Datadog’s products, customers, and technical audiences grow
Datadog 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:
$212,000—$265,000 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, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity 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 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. 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. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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Role DNA
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Sample interview questions
I would establish a balanced scorecard covering contributor activation and retention, content and speaker quality, audience reach, community sentiment, customer outcomes, and actionable product feedback. I would pair those metrics with qualitative interviews to ensure the programs remain valuable and authentic for practitioners.
I would start by clarifying the audience, core problem, and practical takeaway, then help shape an abstract and narrative around the engineer's real experience. I would use iterative content reviews, rehearsal sessions, and constructive feedback to build confidence while preserving the speaker's authentic voice.
I would evaluate each program against strategic goals, participant demand, operational cost, geographic coverage, and measurable impact. After reviewing the data and stakeholder input, I would make explicit trade-offs, run targeted experiments where uncertainty remains, and communicate the rationale clearly.
I stay close to customer use cases, product developments, and technical content, while relying on subject-matter experts for depth where needed. My role is to ask rigorous questions, ensure claims are accurate and useful, and create an environment where advocates can challenge assumptions constructively.
I would build repeatable intake and synthesis processes that convert community feedback into clear themes, evidence, and recommended actions. Regular reviews with Product and Engineering, combined with closed-loop updates to contributors, would make feedback visible, prioritized, and trusted.
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