Datadog

Security Engineer

• Collaborate with our engineering and product teams to produce engaging high quality training courses and content for Datadog’s customer and partner curriculums
• Collaborate with stakeholders to evaluate customer training requirements, and turn those requirements into a roadmap with clearly scoped courses that have well defined learning paths
• Communicate with customers to understand their technical needs in order to build courses that help them become proficient in using Datadog products
• Create high quality hands-on labs that can be delivered both as self paced online programs or instructor-led training
• Review demo code and courses created by other curriculum developers. Coach them to improve the technical and instructional quality of their work in line with their manager’s quarterly milestones.
• Coach experts around the company to deliver live workshops at Datadog events.
• Write application and infrastructure code to enhance existing learning project applications so that customers can learn to use Datadog security features
• Help create and maintain the technical systems and environments used in hands-on labs (GitHub Actions, disk image build workflows, installation scripts, and others)

Technical Curriculum Developer – Security

AI Engineer

• Lead efforts to improve Datadog’s public-facing MCP server, enabling intelligent agents to discover and interact with our services
• Design and implement agentic tool surfaces tailored for evaluation and production use across a wide variety of AI agents
• Build and maintain advanced evaluation pipelines for measuring agent performance on Datadog workflows (e.g., investigations, incident triage, metric queries)
• Investigate and resolve failure cases by analyzing tool output, improving query parsing, and enhancing agent feedback mechanisms
• Collaborate across Applied AI and internal teams to align on shared standards for tool integration and data access

Staff AI Engineer – MCP Services

Data Scientist

• Partner closely with engineering, product, and design to architect and deliver a backend platform purpose-built for product analytics workloads.
• Lead high-visibility technical initiatives, including:
• Define the technical roadmap for Product Analytics and align multiple engineering teams around shared goals and architectural principles.
• Work across organizations to bridge product needs with the right internal or external technologies.
• Provide technical mentorship and help grow the next generation of senior engineers within the team.

Staff Software Engineer – Product Analytics

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Staff AI Engineer – Notebooks

Sales Engineer

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Senior Sales Engineer – Majors Northcentral

Enterprise Sales Engineer

Security Analyst

• Drive end-to-end security assurance for regulated customers, strategic opportunities, and new markets—coordinating cross-functional inputs and serving as the primary partner from Security
• Lead customer-led audits and support external audit readiness, including evidence collection and walkthroughs
• Support incident response as a key stakeholder—coordinating customer communications, follow-ups, and post-incident improvements
• Review and advise on non-standard security and compliance terms in customer contracts, partnering closely with Legal
• Translate customer and regulatory requirements into actionable internal guidance; identify and help close gaps in security, privacy, and compliance programs
• Lead initiatives to improve how trust work runs—optimizing intake, triage, evidence strategy, and knowledge management
• Leverage automation, AI, and analytics to reduce manual work, increase consistency, and surface insights that drive prioritization
• Develop and maintain internal and external trust content (e.g., FAQs, whitepapers, runbooks, Trust Hub materials) to scale Datadog’s security narrative
• Mentor teammates and contribute to a high standard of quality, judgment, and operational excellence

Senior Security Analyst – Customer Trust

Director

• Manage, hire, train and ramp a team of Major Account Managers responsible for executing on large expansion deals
• Achieve annual Enterprise bookings quota with monthly and quarterly targets
• Develop and manage Major Account Managers on productivity metrics such as deal size, win rate, and forecast accuracy as well as how to lead a customer through a proactive sales cycle
• Coach Major Account Managers through building executive relationships with Named Enterprise accounts in their territories and through complex Enterprise deals and negotiations
• Shape the direction of the go-to market strategy and execution for your region
• Work collaboratively with Marketing, Product and Success to build targeted messaging and collateral, and mapping a customer journey for the specific business needs of your region
• Conduct weekly forecast meetings
• Support direct reports by participating and leading in client and prospect meetings.
• Engaging other corporate resources as required

Director, Major Accounts

• Lead research initiatives to identify novel vulnerabilities and threats in Generative AI and large language model (LLM) technologies
• Develop and demonstrate proof-of-concept attacks and adversarial techniques for educational and defensive purposes
• Translate findings into actionable detection content, product improvements, and engineering backlogs
• Collaborate with product managers, detection engineers, and software teams to integrate research into Datadog’s platform
• Share research through blog posts, conference talks, and open-source contributions to promote customer trust and industry awareness
• Engage with external stakeholders—including cloud providers and open-source communities—for responsible disclosure and remediation

Senior Security Researcher – GenAI

Account Manager

• Identify and recruit new strategic channel partners to drive revenue growth
• Enable and activate existing partners through training, planning and joint selling activities
• Coordinate the technical and marketing aspects of integrated partnership launches
• Host regular business reviews with partners to drive accountability and report on success metrics
• Work hand-in-hand with Datadog’s regional enterprise and commercial sales organizations
• Generate partner-sourced net-new sales pipeline and revenue

Senior Partner Manager – Channels, DACH

• Prospect into a targeted set of accounts while running an efficient sales process
• Nurture existing client relationships and grow the Datadog footprint
• Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts
• Develop a deep comprehension of the customer's business
• Negotiate favorable pricing and business terms by selling value and ROI
• Demonstrate resourcefulness when faced with challenges
• Determine necessary steps to close business and gain customer validation
• Identify a robust set of business drivers behind all opportunities
• Ensure high forecasting accuracy and consistency