Senior Manager, AI Software Engineering

SentinelOne

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$200,000–$275,000 / yr
Posted
55 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $238k
$149k most similar roles pay here $288k

This role pays more than 73% of similar roles. Most pay $174,237–$244,187 — the shaded band above. At the midpoint, this role pays about $238k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About SentinelOne

SentinelOne is a cybersecurity company that provides an AI-powered extended detection and response (XDR) platform. Its Singularity platform delivers autonomous endpoint, cloud, and identity protection for enterprises.

SentinelOne currently has 45 open roles on FindRole.

Listed pay typically runs $156,000–$215,000 across 31 roles with salary data.

Most-posted roles

View all roles at SentinelOne

At a glance

TL;DR · Senior Manager, AI Software Engineering

As a Sr. Manager, AI Software Engineering within the P&T organization, you will manage and scale engineering teams responsible for delivering production-grade AI systems and customer-facing capabilities. You will translate AI strategy into reliable software, oversee infrastructure, and partner with cross-functional leaders to execute on roadmap priorities while mentoring managers and senior individual contributors. The role requires building high-quality, low-latency, and scalable services using MLOps practices, distributed systems, and cloud-native technologies like Kubernetes, Docker, and CI/CD pipelines. You will leverage expertise in LLM-powered applications, agentic workflows, retrieval systems, and real-time data processing to solve complex problems in the cybersecurity domain. Key technical requirements include experience with AWS or GCP platforms and a proven track record of shipping AI products within enterprise software environments involving large-scale event processing and detection analytics.

What you'll do

  • Manage and scale engineering teams to deliver production-grade AI capabilities and platform services.
  • Translate product roadmap priorities into technical plans, delivery milestones, and clear team outcomes.
  • Establish management practices for planning, execution, quality, incident response, and observability.
  • Define and enforce best practices for MLOps, service reliability, security, and performance.
  • Support architecture decisions for scalable, low-latency, and highly available AI systems.
  • Recruit, mentor, and develop high-performing engineering talent across AI and software domains.
  • Coordinate with cross-functional leaders in Product, Architecture, Security, and Data to deliver initiatives.
  • Drive organizational design, capacity planning, and alignment with corporate AI goals.

What we're looking for

  • 8 or more years of experience in software engineering, machine learning engineering, or related technical fields.
  • 3 or more years of experience leading engineering teams, including managing managers and senior engineers in high-growth environments.
  • Proven track record of shipping production-grade software, AI, or data products at scale.
  • Strong technical depth in distributed systems, cloud-native services, and modern software engineering practices.
  • Experience building or operating AI/ML systems, including model integration, evaluation, deployment, monitoring, and lifecycle management.
  • Familiarity with MLOps and platform capabilities to support reliable AI product delivery.
  • Experience leading teams building AI features in cybersecurity, enterprise software, or data-intensive environments (preferred).
  • Experience with large-scale event processing, real-time systems, LLM-powered applications, or cloud platforms like AWS/GCP (preferred).

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