Senior Staff GenAI Engineer - Application Performance Monitoring (APM)
$272k - $340kDatadog
We’re looking for a Senior Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.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:Serve as the technical owner for GenAI initiatives within APM, leading design, development, and deployment of ML/AI-powered features across multiple teams.Guide long-term strategy and technical direction for GenAI workflows across APM and related products.Build and benchmark GenAI/ML models using state-of-the-art techniques.Contribute to Datadog’s broader senior engineering community through thought leadership and collaboration on company-wide initiatives.Collaborate with cross-functional teams to build automated investigation and triaging tools.Influence product direction by bringing a strong product mindset to your work, always advocating for the end user.Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction.Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups.Who You Are:You have a BS/MS/PhD in a scientific field or equivalent experience10+ years of relevant engineering experience, including 4+ years leading cross-team technical initiatives.Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environmentYou’re highly proficient in model development, deployment, evaluation, and optimization, with hands-on experience in building end-to-end ML systems.Ability to drive initiatives across cross-functional teams, and solve ambiguous challengesYou are passionate about mentoring others and cultivating a high-performing engineering culture.You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated outputBonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled productsDatadog 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:Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.Have a lot of influence on product direction and impact on the business .Work with skilled, knowledgeable, and kind teammates who are happy to teach and learnCompetitive global benefitsContinuous professional developmentBenefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.#LI-HybridDatadog 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:$272,000—$340,000 USDAbout 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.
$70 - $75 per hour
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