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Manager I, Engineering - Code Intelligence

Lead an AI-native engineering team focused on code intelligence in a hybrid work environment.

Location
New York, New York, USA
Compensation
$192k–$240k/yr
Level
lead
Type
full time · Hybrid

Posted by employer 2 days ago

First seen on Joblaze 2 days ago

Last verified on the company career page 7 hours ago

What you'll build

  • Lead and develop an engineering team
  • Own the roadmap and execution across four areas
  • Set the team's product strategy
  • Build and operate scaled LLM and agent software
  • Drive the team's AI-native development practices

Must have

  • Experienced engineering manager
  • Hands-on experience building scaled LLM software
  • Strong product and customer mindset

Nice to have

  • SDLC and developer tooling background

Role intensity

10% coding — mostly leadership/strategy

AI in the day-to-day

Build and operate scaled LLM and agent software in production.

Not disclosed in this posting: years of experience, visa sponsorship.

Benefits

401k Match Equity/Stock Options Remote Work Health Insurance Mental Health Benefits

Joblaze summary

In this role, the engineering manager leads a team focused on developing AI-driven tools that enhance customer interactions with source code. Key responsibilities include setting the technical direction, managing the product roadmap, and building scalable LLM software while ensuring high standards for safety and validation. This position is ideal for an experienced manager with a strong background in AI and product development, particularly those comfortable navigating ambiguity and prioritizing customer needs. Datadog fosters a collaborative culture, emphasizing creativity and teamwork within a hybrid work environment.

Joblaze insights

  • Listed 2 days ago — first seen on Joblaze September 19, 2026. Last confirmed on Datadog's careers page September 21, 2026.
  • Salary band is in line with the typical range for Management roles (median ~$175,000).
  • Starts above 28% of 89 comparable lead management roles in United States that list AI/ML we track (median $239,200 across 31 companies). See AI/ML salary trends
  • AI/ML appears in 26.9% of 509 comparable lead management roles in United States; LLM appears in 0.4% of 509 comparable lead management roles in United States.

Quick facts

Is the Manager I, Engineering - Code Intelligence role remote?
It's hybrid — Datadog expects some on-site time in New York, New York, USA.
What's the salary range?
Datadog lists $192,000–$240,000 for this role.
Where is the role based?
Datadog is hiring for this position in New York, New York, USA.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, LLM, agent frameworks, evaluation systems, prompt tooling.
What seniority level is this role?
Datadog targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Manager I, Engineering - Code Intelligence role at Datadog.

From the original posting

Code Intelligence sits at the intersection of agentic engineering and product, running agents against real customer source code in production. This is a chance to own an AI-native team at the center of a business-critical growth area. High visibility, high leverage, and squarely in the fastest-growing part of the AI agent space.


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 employees can create a work-life harmony that best fits them.

What You'll Do:

  • Lead and develop an existing engineering team, building trust, setting technical direction, and establishing a high bar for ownership and execution.
  • Own the roadmap and execution across four areas: source code indexing, PR Agentic Reviewers (agents that generate artifacts like metric descriptions on customer pull requests), shift-left work (extending code-writing agents to make direct changes to customer repos), and closed-loop feedback and evaluation systems including LLM-as-judge.
  • Set the team's product strategy independently while partnering day-to-day with product teams company-wide — this team functions as its own product org.
  • Build and operate scaled LLM and agent software in production: LLM APIs, agent frameworks, harness and tool-use layers, prompt and eval tooling, and closed-loop evaluation systems that measure and improve agent output quality.
  • Partner closely with customers and internal stakeholders to deeply understand needs and translate them into technical direction.
  • Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time.

Who You Are:

  • Experienced engineering manager with a track record of shipping products with direct customer interaction, not just internal stakeholders.
  • Hands-on experience building scaled LLM software: LLM APIs, agent frameworks, prompt and eval tooling, harness and tool-use development, and closed-loop evaluation systems including LLM-as-judge.
  • Strong product and customer mindset — you put solving customer problems first and know how to ship and iterate quickly.
  • Comfortable setting your own product strategy in an ambiguous environment rather than executing a pre-defined roadmap.
  • SDLC and developer tooling background is a plus but not required — strong AI and agent experience is what matters most.
  • 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:

  • 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

#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.

$192,000$240,000 USD

About Datadog:

Standard company text repeated across Datadog's postings is omitted here.

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