Datadog .
We’re seeking a Staff Software Engineer with deep experience in AI/ML to join Datadog’s Graphing organization. The Graphing group develops core tools used across Datadog, including Dashboards, Notebooks, Sheets, search capabilities, and data-visualization toolkits. The team enables a majority of Datadog users’ daily workflows and presents a strong opportunity to lead AI-driven workflows for natural-language queries, graph generation, automated investigations, and more.
This role requires a technical leader to design, train, evaluate, and deploy GenAI/ML models at scale, and to identify opportunities to apply GenAI in graphing workflows. You’ll work with leaders to prioritize initiatives and help us excel in this new domain.
Datadog places value on office culture and operates as a hybrid workplace to support work-life harmony.
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.
Mentor engineers and influence engineering culture through design reviews, technical talks, and working groups.
Influence product direction with a strong product mindset, 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, including experience acting as a technical lead.
Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment.
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. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth
Build tools for software engineers and use the tools we build to accelerate development.
Influence product direction and impact on the business.
Work with skilled, knowledgeable, and collaborative teammates.
Competitive global benefits and 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. The company offers a competitive salary and equity package, with potential variable compensation. Compensation is based on factors such as skills, qualifications, and experience, and includes a range of benefits (healthcare, dental, parental planning, mental health benefits, 401(k) with match, paid time off, fitness reimbursements, and an employee stock purchase plan).
The reasonably estimated yearly salary for this role at Datadog is:
$234,000—$300,000 USD .
About Datadog
Datadog (NASDAQ: DDOG) is a global SaaS business focused on breaking down silos and solving complexity in the cloud age through digital transformation, cloud migration, and infrastructure monitoring. Built by engineers, for engineers, Datadog serves organizations of all sizes across industries. We champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Learn more about DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity
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 is committed to accessibility; if you need assistance completing the application process, please contact us for accommodation requests.