We’re looking for a Staff Software Engineer with deep experience in AI/ML to join Datadog’s Graphing organization. The Graphing organization develops Datadog’s suite of core tools: Dashboards for flexible display of live display of real-time insights, Notebooks for collaborative investigations and technical documentation, Sheets for manual curation of tabular data, search capabilities powering user queries, and powerful data-visualization toolkits that are used across Datadog. These product lines enable a majority of Datadog users’ daily workflows. This gives us a powerful opportunity for us to be industry leaders in AI-driven workflows for natural-language-queries, graph generation, automated investigations, and more.
This role requires a technical leader with deep AI/ML expertise to help power these workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. You will work with leaders to identify and prioritize opportunities to apply GenAI models in graphing workflows. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a leadership track record who can help us excel in this exciting new domain.
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:
- Act as a technical leader driving GenAI/ML projects from concept to production.
- Build and benchmark GenAI/ML models using state-of-the-art techniques.
- Establish a high standard of technical excellence for ML development in Graphing
- Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups
- 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
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges
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:
- 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 learn
- Competitive global benefits
- Continuous professional development
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.
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.
Top Skills
Similar Jobs at Datadog
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus