Top Tech Jobs & Startup Jobs

As a Technical Support Engineer at Datadog, you will respond to client inquiries, reproduce issues across numerous integrations, and create documentation to enhance customer success. You will work closely with clients to understand their needs and communicate effectively with the technical team.

As a Mid-Market Account Executive, you will engage with mid-to-large size markets, focusing on acquiring new customers, managing the sales cycle, and collaborating with internal teams to convert leads into closed opportunities. The role involves strategic prospecting and technical demonstrations.

As a Senior Software Engineer at Datadog, you will build and operate query execution engines, dive into query language design, and develop fault-tolerant, scalable solutions. This role requires strong backend programming skills, particularly in C++ and Go, and an interest in database internals.

The Principal Sales Engineer will provide technical expertise through sales presentations, product demos, and by collaborating with account teams to enhance sales strategies. They will educate customers on observability and security risks, deliver tailored demos, and engage with internal teams on product feedback while building relationships with prospective clients.

The Staff Software Engineer will lead the Database Monitoring team in designing and executing high-impact projects, including the development of a new database analytics product and automated features for performance improvement. They will provide technical leadership and architect solutions for scaling and adopting the product effectively.

As a Staff Software Engineer at Datadog, you will lead critical architecture projects, own systems delivery from design to production, and innovate performance solutions at scale. Your role includes overseeing technical design and fostering engineering standards across the organization.

As a Senior Software Engineer on the Event Platform Storage team, you will build and operate high-throughput, real-time data pipelines using Java and Go. Your role involves designing effective data architecture, leading architectural decisions, and optimizing distributed systems for durability and scalability. You will also be responsible for writing significant amounts of code and owning parts of the service.