Senior Manager, AI Software Engineering

🕒 July 28

🇺🇸 United States – Remote

💵 $200k - $275k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SentinelOne

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SentinelOne is a leader in autonomous cybersecurity, known for its innovative use of AI across endpoint, cloud, and identity protection solutions. It is recognized by Gartner as a leader in the Magic Quadrant for Endpoint Protection Platforms for four consecutive years. SentinelOne's Singularity platform integrates enterprise security, offering features like AI-powered threat detection, endpoint and cloud security, vulnerability management, and threat intelligence. The company supports various industries by delivering real-time protection and operational efficiency while leveraging AI for advanced threat hunting and log analytics. With a strong focus on reducing risk and enhancing security performance, SentinelOne caters to enterprises worldwide with secure, scalable solutions.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Restricted Stock Units (RSUs) • Employee Stock Purchase Plan (ESPP) • Flexible time off • Paid company holidays and paid sick time • Gender-neutral parental leave • Grandparent leave • Medical, dental, and vision coverage • 401(k) retirement plan with company match • Life and disability insurance • Health and dependent care FSA • Voluntary benefits (hospital, accident, critical illness) • Employee Assistance Program (EAP) • ARAG pre-paid legal • Nationwide pet insurance • Cancer Care program • Global business travel medical insurance • Home office allowance • Mobile phone reimbursement • Wellness coach • Wellness/gym reimbursement • Fertility coverage • Adoption & surrogacy reimbursement