Datadog jobs, judged for you, free

What they do

Datadog makes an observability and security platform, which shows companies how their software runs. It brings applications, infrastructure, data, AI models, and security into one place. It gives alerts, metrics, logs, and tracing to tens of thousands of companies, and handles trillions of data points a day. Datadog uses AI to find and fix issues before they reach customers.

What they value

• Solve tough problems, innovate pragmatically, and grow together.
• In engineering, value pragmatism, honesty, and simplicity.
• Build relationships and ideas in the office, in a hybrid workplace.
• Treat people with fairness and without bias, so all backgrounds belong.
• Help people grow through mentors, buddies, and career paths.

Where they hire

The board has 449 Postings in cities across the Americas, Europe, and Asia Pacific. New York has the most, then Paris, Boston, Tokyo, Denver, and San Francisco. Most roles are hybrid. 57 are remote, most in a named US state. Some US roles need US export authorization. No Posting offers visa sponsorship.

Teams and roles

Sales and go-to-market roles, which sell and market the product, are the largest group on the board.

• Sales: strategic, enterprise, commercial, and mid-market account executives, sales development representatives, and sales managers. This group has more than 140 Postings, with channels and alliances included.
• Sales engineering: sales engineers and security sales engineers who lead technical evaluations for customers.
• Customer success and post-sales: customer success managers, technical account managers, support engineers, and services architects.
• Engineering: software engineers, staff engineers, and engineering managers on teams such as the AI Platform, APM (application performance monitoring), security, and compute. AI research engineers and scientists work in Datadog AI Research (DAIR).
• Product: product managers and product designers.
• Early career: software engineering and product management interns.
• Also people, recruiting, finance, legal, marketing, and community roles.

What they look for

Engineering Postings ask for strong skill in one or more languages, simple and fast code, and design for high scale. They ask for a BS, MS, or PhD in a scientific field or equivalent experience. They ask for daily use of AI coding tools. Senior engineers need 6 or more years. Go, C, Python, Redis, Cassandra, and Kafka are bonus points. Engineering managers stay hands on with code and design reviews. Sales roles ask for 5 or more years of closing deals and for selling to Fortune 1000 companies. Sales engineers need 7 or more years and knowledge of cloud, Kubernetes (a tool that runs software across many servers), and APM. Customer success roles ask for 3 or more years at companies that sell online software to businesses (B2B SaaS). Interns need strong computer science basics. Datadog says a person who does not meet every item on day one can still apply.