Sr. Manager, AI Software Engineering

SentinelOne

Seattle (WA)

On-site

USD 200,000 - 275,000

Full time

14 days+

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Benefits offered by this job

Restricted Stock Units (RSUs)

Employee Stock Purchase Plan (ESPP)

Flexible time off

Paid holidays and sick time

Parental leave

Job summary

SentinelOne in Seattle is seeking a Senior Manager, AI Software Engineering to lead and grow AI engineering teams responsible for production-grade AI systems and customer-facing capabilities within the P&T organization. You will guide delivery across AI features, platform services, and supporting infrastructure with a focus on reliability and speed.

You will partner with Product, Architecture, Security, Data, and Infrastructure to drive high-impact AI initiatives, build scalable systems, and

Qualifications

8+ years in software or ML engineering.
3+ years leading engineering teams.
Proven track record shipping production-grade AI/software.
Strong depth in distributed systems and cloud-native services.
Experience with MLOps and AI platform services.
Familiarity with security, observability, and reliability practices.
Ability to align stakeholders and drive roadmaps.
Experience in cybersecurity or data-intensive environments preferred.
Experience with real-time event processing preferred.
Hands-on with AWS/GCP, Kubernetes, Docker, CI/CD.

Responsibilities

Lead and grow one or more AI Engineering teams.
Drive execution for strategic AI initiatives across the P&T organization.
Translate roadmap priorities into technical plans, milestones.
Establish engineering management practices across planning, execution, quality.
Mentor engineering managers and senior ICs toward accountability and excellence.
Define best practices for AI systems, MLOps, reliability, security.
Support architecture decisions for scalable AI systems and services.
Recruit and retain top engineering talent across AI, software, platform domains.
Improve collaboration across globally distributed teams.
Contribute to capacity planning and quarterly/annual planning.
Balance innovation with reliability; drive issues to resolution.

Skills

AI software engineering

Engineering team leadership

Production-grade software

Distributed systems

MLOps

Cloud platforms (AWS/GCP)

Kubernetes

Docker

CI/CD practices

Security practices

Tools

Kubernetes

Docker

CI/CD

AWS

GCP

Job description

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Senior Manager, AI Software Engineering, you will be tasked with managing and scaling AI Engineering teams responsible for delivering production-grade AI systems and customer-facing AI capabilities. Sitting within the P&T organization, you will play a key part in translating AI strategy into reliable, scalable software and platform outcomes. You will lead engineers working on AI-powered product capabilities, platform services, and supporting infrastructure while partnering closely with Product, Architecture, Security, Data, and other Engineering leaders to deliver high-impact AI initiatives with quality, speed, and operational rigor.

What Will You Do?

Primary responsibilities include:

Lead and grow one or more AI Engineering teams focused on delivering production AI capabilities and platform services.
Drive execution for strategic AI initiatives across the P&T organization, including customer-facing features, internal AI platform capabilities, and supporting engineering systems.
Partner with Product Management and cross-functional engineering leaders to translate roadmap priorities into clear technical plans, delivery milestones, and team outcomes.
Establish strong engineering management practices across planning, execution, quality, incident response, observability, and continuous improvement.
Mentor engineering managers and senior individual contributors while building a culture of accountability, innovation, and operational excellence.
Help define and enforce best practices for AI system development, MLOps, service reliability, security, and performance.
Support architecture and design decisions for scalable, low-latency, highly available AI systems and services.
Recruit, develop, and retain top engineering talent across AI, software, and platform domains.
Improve collaboration across globally distributed teams and ensure effective delivery across organizational boundaries.
Contribute to organization design, capacity planning, and quarterly and annual planning aligned to P&T and AI goals.
Operate as a delivery-focused engineering leader who balances innovation with reliability; raise the bar on execution discipline, technical quality, and cross-functional collaboration; build healthy teams with clear accountability, strong coaching, and high trust; make pragmatic decisions, surface risks early, and drive issues to resolution; and foster a culture that values customer impact, learning velocity, and engineering excellence.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

8 or more years of experience in software engineering, machine learning engineering, or closely related technical fields.
3 or more years of experience leading engineering teams, including managing managers and/or senior engineers in a high-growth environment.
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 and ML systems, including model integration, evaluation, deployment, monitoring, and lifecycle management.
Familiarity with MLOps and platform capabilities required to support reliable AI product delivery.
Strong understanding of engineering quality, security, observability, and operational excellence practices.
Experience partnering effectively with Product, Design, Security, Data, and Infrastructure teams.
Excellent communication skills and the ability to align senior stakeholders around priorities, tradeoffs, and execution plans.
Demonstrated success hiring and developing high-performing engineering teams.
Experience leading teams that build AI-powered product features in cybersecurity, enterprise software, or data‑intensive environments is preferred.
Experience with large‑scale event processing, real‑time systems, or detection and analytics platforms is preferred.
Hands‑on familiarity with cloud platforms such as AWS or GCP, as well as Kubernetes, Docker, and modern CI/CD practices is preferred.
Experience with LLM‑powered applications, agentic workflows, retrieval systems, or applied AI platform services is preferred.
Background in endpoint security, cloud security, SIEM, or adjacent security domains is preferred.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards