Enterprise Sales Engineer

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

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:

• 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

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• You have business-level fluency, both in verbal and written communication, in Bahasa Indonesia as you will be working with customers speaking this language and you are comfortable in English as this is our company's day to day communication language.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

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: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Enterprise Sales Engineer

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• 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

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• You have business-level fluency, both in verbal and written communication, in Bahasa Indonesia as you will be working with customers speaking this language and you are comfortable in English as this is our company's day to day communication language.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

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: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

About the Role
In this role, you will support the development and adoption of AI-driven tools and solutions that improve internal workflows and team productivity. You will work closely with different teams to explore new technologies, build simple prototypes, support best practices, and help measure the impact of these solutions across the organization.

   
What You Will Do

• Support Agentic Workflows: Participate in the development of AI-powered automations that streamline internal engineering and operational processes — learning how these systems are designed and shipped end-to-end.
• Explore MCP & AI Tooling: Get hands-on experience with Model Context Protocol (MCP) servers and tools that connect AI agents to internal systems, APIs, and data sources.
• Support AI Adoption: Help teams integrate AI tools like Claude Code and Kiro into their daily workflows. Be the person who finds new ways to make things faster.
• Contribute to Governance & Security: Support the AI team in evaluating AI tools, documenting best practices, and helping establish guidelines for safe, responsible usage across the organization.
• Prototype & Learn: Build small internal tools, bots, or proof-of-concepts that demonstrate the potential of agentic AI — with guidance and mentorship from the team.
• Measure Impact: Help track and quantify efficiency gains from AI adoption — time saved, automation coverage, and developer experience improvements.

   
What We Are Looking For

• Agentic AI Curiosity: You have been tinkering with tools such as Claude Code, Cursor, Kiro, or similar AI-native development tools. You don't need to be an expert — but you should be excited about what these tools can do. You should aware how how such tools can have their capabilities expanded (e.g. through MCPs, Skills)
• The "100x" Mindset: You are obsessed with efficiency. You look at a 10-step manual process and immediately think about how to reduce it to one. You believe AI should be doing most of the repetitive work so humans can focus on what matters.
• Language Agnostic: You've tinkered with at least one backend language (e.g., Python, Go, TypeScript, Ruby) and are eager to learn whatever gets the job done.
• Tools: Familiarity with Git for version control.
• Mindset: A "can-do" attitude, a love for trying new AI tools the day they launch, a strong desire to learn, and the ability to communicate your ideas clearly.
• Bonus Points: Experience with workflow orchestration tools (n8n, LangChain, etc.), familiarity with LLM APIs, or an interest in Fintech, Crypto, or how money moves globally.

About The Role

We are hiring a Software Engineer to join our Blockchain Engineering team at StraitsX. The team builds and operates the backend infrastructure that powers our stablecoin operations across multiple blockchains, including Ethereum, Solana, Avalanche, Hedera, XRP Ledger, Polygon, and others. This role is ideal for early-career engineers who are eager to learn, build strong backend fundamentals, and gain exposure to blockchain systems in a production environment.

What You Will Do

• Develop and maintain Go-based microservices (Fiber v2, GORM, Asynq) with guidance from senior engineers
• Build APIs and background workers for payments, wallet custody, and blockchain event processing
• Integrate with blockchain networks using Go SDKs
• Write clean, well-tested, and maintainable code
• Work with Postgres and Redis for data storage, caching, and task queues
• Support debugging of production issues using tools such as Datadog
• Participate in code reviews and on-call rotations with team support
• Contribute to CI/CD pipelines (GitHub Actions, Docker, Kubernetes)
• Gain exposure to smart contract development (Solidity, Foundry/Hardhat, OpenZeppelin)

What We Are Looking For

• Bachelor’s degree in Computer Science or equivalent practical experience
• 0–2 years of professional software engineering experience
• Basic proficiency in at least one backend programming language (Go, Python, Ruby, JavaScript, etc.)
• Fundamental understanding of SQL and relational databases (e.g., Postgres)
• Familiarity with REST APIs and HTTP concepts
• Basic knowledge of Git
• Strong willingness to learn and interest in blockchain and distributed systems
• Exposure to Go (personal projects, internships, or coursework) is a plus
• Basic understanding of blockchain concepts (transactions, wallets, etc.) is a plus
• Familiarity with Docker or containerization is a plus
• Exposure to Redis or background job systems is a plus
• Experience with cloud platforms (e.g., AWS) is a plus