Manager I, Engineering - CodeGen

· Remote

Location

Remote

Type

Full Time

Job Description

DatadogJobs
Manager I Engineering - CodeGen

Manager I Engineering - CodeGen

Reposted 17 Hours Ago
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Be an Early Applicant
New York NY USA
Hybrid
187K-240K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
We are building the monitoring and security platform for developers IT ops teams and business users in the cloud age.
The Role
Lead a team building production systems for code understanding and automated code changes. Drive technical direction partner cross-functionally maintain evaluation/monitoring pipelines ensure production readiness (on-call SLIs/SLOs postmortems) own hiring and career growth and uphold engineering rigor for data pipelines model inputs reproducibility and CI/CD.
Summary Generated by Built In

Datadog’s 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.

We’re a new team building AI-assisted tools to make Datadog developers more effective by autonomously generating tests fixing bugs and improving performance.

We’re 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 You’ll 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
  • Demonstrated ability to use AI coding tools in day-to-day workflows and validate critique and refine AI-generated output
  • You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

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 & 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

Datadog offers a competitive salary and equity package and may include variable compensation. Actual compensation is based on factors such as the candidate's skills qualifications and experience. In addition Datadog offers a wide range of best in class comprehensive and inclusive employee benefits for this role including healthcare dental parental planning and mental health benefits a 401(k) plan and match paid time off fitness reimbursements and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:
$187000$240000 USD

About Datadog: 

Datadog is the leading observability and security platform for the AI era providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications infrastructure data models and security into one place using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram LinkedIn and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity veteran status and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy please visit Interviewing at Datadog AI Guidelines.

Skills Required

  • Proven experience in software engineering and applied science focused on engineering LLM-based systems in production
  • Demonstrated experience managing small teams of software engineers and/or applied scientists
  • Proficiency in Python
  • Proficiency in Go
  • Strong understanding of machine learning theory statistics and fundamentals
  • Excellent communication abilities to convey complex technical concepts
  • Experience working cross-functionally with product applied research infra/SRE and security teams
  • Experience with production readiness practices: on-call postmortems SLIs/SLOs and operational playbooks
  • Experience building and maintaining evaluation and monitoring pipelines data pipelines and reproducible CI/CD for model and infra changes

What the Team is Saying

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Datadog Compensation & Benefits Highlights

  • Healthcare StrengthComprehensive medical dental and vision coverage is paired with company-provided mental-health access and support for gender-affirming care. Fitness reimbursements in eligible locations further bolster wellbeing.
  • Parental & Family SupportFully paid gender-neutral parental leave and extensive family-forming benefits (adoption fertility preservation surrogacy) are highlighted. Childcare subsidies and pet-related support where eligible add practical family assistance.
  • Equity Value & AccessibilityNew-hire RSUs and an employee stock purchase plan at a discount provide broad ownership opportunities. Feedback suggests these equity programs meaningfully complement cash compensation in many roles.

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The Company
HQ: New York NY
6500 Employees
Year Founded: 2010

What We Do

Datadog (NASDAQ: DDOG) is a global SaaS business delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation cloud migration and infrastructure monitoring of our customers' entire technology stacks. Built by engineers for engineers Datadog is used by organizations of all sizes across a wide range of industries. Together we champion professional development diversity of thought innovation and work excellence to empower continuous growth. Join the pack and become part of a collaborative pragmatic and thoughtful people-first community where we solve tough problems take smart risks and celebrate one another.

Why Work With Us

At Datadog we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems innovate pragmatically and grow together. We promote from within provide mentorship and opportunities for career development and support our colleagues in the process. Best of all? We truly love what we do.

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Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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Date Posted

05/07/2026

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