Datadogs CodeGen team builds systems that use AI to read understand generate and safely change real code powering automated fixes CI/PR automation agentic remediation and Infrastructure-as-Code workflows. The team ties code understanding to observability so assistants can explain problems and produce safe auditable code changes.
Were a new team building AI-assisted tools to make Datadog developers more effective by autonomously generating tests fixing bugs and improving performance.
Were looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
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 Youll Do:
- Lead a team of engineers responsible for building production systems that enable code understanding and automated code changes from parsers and telemetry ingestion to model serving evaluation and PR automation.
- Drive technical direction and execution: set a clear roadmap prioritize work remove blockers and raise quality and reliability bar for codegen features (safety correctness performance).
- Partner with product applied research infra/SRE security and other engineering teams to ship end-to-end experiences that safely apply model outputs (PRs CI checks automated apply flows).
- Build and maintain robust evaluation and monitoring pipelines (offline and online) to measure model quality drift and downstream correctness of code changes.
- Own hiring performance development 1:1s and career growth for your reports; grow a high-performing inclusive team.
- Be accountable for production readiness: on-call expectations postmortems SLIs/SLOs and operational playbooks for codegen services.
- Maintain engineering rigor around data pipelines model inputs determinism reproducibility and reproducible CI/CD for model infra changes.
Who You Are:
- Proven experience in software engineering and applied science with a focus on engineering LLM-based systems in production
- Demonstrated experience managing small teams of software engineers and/or applied scientists with a track record of delivering high-quality products
- Strong software development skills and proficiency in Python and Go
- Strong understanding of machine learning theory statistics and fundamentals
- Excellent communication abilities to convey complex technical concepts clearly
- A collaborative mindset and proven experience in working in cross-functional teams
- A proactive approach with a passion for continuous learning and innovation
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your skills we encourage you to apply.
Benefits & Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development product training and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks our internal panel discussions
- Free global mental health benefits for employees and dependents age 6
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Required Experience:
Manager
Datadogs CodeGen team builds systems that use AI to read understand generate and safely change real code powering automated fixes CI/PR automation agentic remediation and Infrastructure-as-Code workflows. The team ties code understanding to observability so assistants can explain problems and produ...
Datadogs CodeGen team builds systems that use AI to read understand generate and safely change real code powering automated fixes CI/PR automation agentic remediation and Infrastructure-as-Code workflows. The team ties code understanding to observability so assistants can explain problems and produce safe auditable code changes.
Were a new team building AI-assisted tools to make Datadog developers more effective by autonomously generating tests fixing bugs and improving performance.
Were looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
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 Youll Do:
- Lead a team of engineers responsible for building production systems that enable code understanding and automated code changes from parsers and telemetry ingestion to model serving evaluation and PR automation.
- Drive technical direction and execution: set a clear roadmap prioritize work remove blockers and raise quality and reliability bar for codegen features (safety correctness performance).
- Partner with product applied research infra/SRE security and other engineering teams to ship end-to-end experiences that safely apply model outputs (PRs CI checks automated apply flows).
- Build and maintain robust evaluation and monitoring pipelines (offline and online) to measure model quality drift and downstream correctness of code changes.
- Own hiring performance development 1:1s and career growth for your reports; grow a high-performing inclusive team.
- Be accountable for production readiness: on-call expectations postmortems SLIs/SLOs and operational playbooks for codegen services.
- Maintain engineering rigor around data pipelines model inputs determinism reproducibility and reproducible CI/CD for model infra changes.
Who You Are:
- Proven experience in software engineering and applied science with a focus on engineering LLM-based systems in production
- Demonstrated experience managing small teams of software engineers and/or applied scientists with a track record of delivering high-quality products
- Strong software development skills and proficiency in Python and Go
- Strong understanding of machine learning theory statistics and fundamentals
- Excellent communication abilities to convey complex technical concepts clearly
- A collaborative mindset and proven experience in working in cross-functional teams
- A proactive approach with a passion for continuous learning and innovation
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your skills we encourage you to apply.
Benefits & Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development product training and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks our internal panel discussions
- Free global mental health benefits for employees and dependents age 6
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Required Experience:
Manager
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