
Modern monitoring and security.
Senior Product Manager – AI Remediation
As a Senior Product Manager – AI Remediation, you will define, build, and launch capabilities that proactively and autonomously resolve issues before they escalate into production incidents. You will own a broad roadmap focused on AI-powered automation across infrastructure types including hosts, containers, serverless, and networking. This role spans multiple developer entry points, from the Datadog application to IDEs, CLI, and other workflows, ensuring a consistent experience wherever users operate. You’ll partner closely with Engineering, Design, and customers to build AI systems and agents that safely identify, execute, and validate fixes while preserving trust. This is an opportunity to lead a high-impact initiative at the intersection of AI, infrastructure operations, and autonomous observability.
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:
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Lead the product vision and roadmap for AI-driven infrastructure remediation, evolving Datadog from passive observability to proactive, safe action.
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Define and launch an end-to-end remediation experience across the Datadog UI, agent and chat interfaces, CLI, and other developer workflows.
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Partner with Design to create user-facing experiences that make proactive remediation intuitive, transparent, and trustworthy.
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Define AI-powered building blocks that identify remediation opportunities and safely execute actions while maintaining customer confidence.
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Collaborate cross-functionally with infrastructure monitoring, core platform, and AI product teams to integrate remediation capabilities across the Datadog platform.
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Establish quality standards and success metrics for remediation, including correctness, safety, and user trust.
Who You Are:
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5+ years of Product Management experience shipping technical products in cloud infrastructure or SaaS environments, ideally for developer or operator audiences.
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Have experience shipping AI-driven products and comfortable reasoning about large language models, agent-based systems, evaluation, and safety considerations.
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Customer-focused, with empathy for how developers and operators work across applications, terminals, and collaboration tools.
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Technically fluent, with knowledge of cloud infrastructure and the ability to reason about APIs, distributed systems, and AI/ML concepts.
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Comfortable making thoughtful decisions in ambiguous environments and balancing speed with long-term platform integrity.
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Clear and concise communicator who can lead cross-functional initiatives and align stakeholders around a shared vision.
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:
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Generous and competitive benefits package
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New hire stock equity (RSUs) and employee stock purchase plan
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Continuous career development and pathing opportunities
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Employee-focused best in class onboarding
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Internal mentor and cross-departmental buddy program
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Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
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:$187,000—$240,000 USD
About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. 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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Datadog 소개

Datadog
PublicDatadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.
5,001-10,000
직원 수
New York
본사 위치
$40B
기업 가치
리뷰
10개 리뷰
4.2
10개 리뷰
워라밸
3.2
보상
4.5
문화
4.3
커리어
3.8
경영진
4.0
78%
지인 추천률
장점
Flexible work arrangements and remote options
Great team culture and collaboration
Excellent compensation and benefits
단점
High workload and heavy pressure
Work-life balance challenges
Fast-paced environment can be overwhelming
연봉 정보
53개 데이터
Junior/L3
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager 1
0개 리포트
$207,542
총 연봉
기본급
-
주식
-
보너스
-
$176,411
$238,673
면접 후기
후기 3개
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Final Interview
5
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
최근 소식
Costly GPU sprawl tackled by Datadog observability service - IT Europa
IT Europa
News
·
1w ago
Datadog Tames AI GPU Spend - - Enterprise Times
Enterprise Times
News
·
1w ago
Datadog CTO Alexis Le-Quoc sells $5.6m in company stock - Investing.com
Investing.com
News
·
2w ago
Datadog digs down into GPU efficiency as AI costs soar - theregister.com
theregister.com
News
·
2w ago