As a Senior Engineering Manager - Windows Endpoint - Windows Endpoint, you will take end-to-end ownership of features from ideation to production, managing multiple teams within the Windows Agent Ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.

What Will You Do?

Primary responsibilities include:

• You will have the chance to manage an organization of 15+ engineers and team leads across multiple teams working on the Windows Agent, solving the most complicated real-world problems.
• You will continuously enrich your knowledge and experience with Windows OS internals and the EPP/EDR ecosystem.
• You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
• You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
• Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proven experience as a Group Lead or Senior Engineering Manager in the areas of C++ and Windows OS internals.
• Proven success in coaching team leads and building a succession pipeline.
• Deep knowledge of performance management and succession planning.
• Data-driven decision-making and prioritizing approaches.
• Proven experience with team building and advanced software methodologies.
• Ability to lead a feature from planning to development and testing.
• Excellent interpersonal skills and great communication skills.
• Expertise in managing globally distributed teams across multiple time zones.
• Previous experience with security-oriented development - Advantage.
• Windows Kernel development experience - Advantage.

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:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will design and implement low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for SentinelOne’s next generation of data-centric security.

What will you do?

• Design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
• Research and evaluate technologies for building high-fidelity sensors that track data access.
• Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
• Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.

What Skills and Knowledge Will You Bring?

• 4+ years of experience as a low-level software engineer, building complex systems in modern C++\C.
• Hands-on experience with system-level development, debugging tools, and performance profiling.
• Deep OS Expertise, with strong knowledge of operating system architecture and internals (Windows, Linux, and/or macOS).
• A proven track record of shipping production-quality code to large-scale deployments, ensuring reliability across diverse environments and collaborating with multiple stakeholders.

It’d be great if you have experience with / or You’d learn & gain on our team:

• Security Domain Expertise
• Technical leadership experience
• Exposure to a multi-stack environment, working across agent, backend, and frontend systems.

Why us?

We are at the forefront of the most dominant space of the Cyber Security market. You'll be working closely with some of the best researchers on the planet on the most innovative and challenging features that will shape the future of Cyber Security. You will be part of a truly global team that is rapidly growing around the world, on an amazing journey of success. You will work with great people in an open, fun environment, and you will be part of an organization that truly values its people.

• • Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
  • Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
  •  RSUs- 4 years vesting with 1-year cliff and then quarterly.
  • Annual bonus (depending on the performance of the company) paid out in 2 cycles
  • Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
  • Company time off and holidays
  • Private medical insurance
  • Meal allowance
  • Home office allowance
  • Hybrid work model- The possibility of working both from the office and working from home
  • Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
  • Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
  • Free Parking in our office building 
  • Music Room fully equipped room
  • Wellness- workout sessions and a wellness app

As a Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will design and implement low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for SentinelOne’s next generation of data-centric security.

What will you do?

• Lead, design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
• Research and evaluate technologies for building high-fidelity sensors that track data access.
• Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
• Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.

What Skills and Knowledge Will You Bring?

• 7+ years of experience as a low-level software engineer, building complex systems in modern C++\C.
• Hands-on experience with system-level development, debugging tools, and performance profiling.
• Deep OS Expertise, with strong knowledge of operating system architecture and internals (Windows, Linux, and/or macOS).
• A proven track record of shipping production-quality code to large-scale deployments, ensuring reliability across diverse environments and collaborating with multiple stakeholders.
• Security Domain Expertise
• Technical leadership experience
• Exposure to a multi-stack environment, working across agent, backend, and frontend systems.

Why us?

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
• RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building
• Wellness- workout sessions and a wellness app

About The Role:

We’re hiring a Senior ML Software Engineer to build and own the foundations that enable our data science teams to ship ML and GenAI systems to production. You’ll develop core capabilities such as data/feature pipelines, training and evaluation infrastructure, and model/agent serving.

What You’ll Do

• Build and own backend systems and APIs that support end-to-end ML workflows (data → training → deploy).
• Design for performance, scalability, reliability, and cost in production ML environments.
• Develop infrastructure for LLM/agentic workflows (tool execution, retrieval, evaluation, observability).
• Partner closely with data scientists to iterate on platform capabilities and developer experience.
• Drive Innovation: Continuously evaluate and integrate emerging infrastructure technologies that can give Honeycomb’s AI platform a competitive edge.

Basic Requirements

• 5+ years in data/backend engineering. 
• Strong background in Python and experience with large-scale systems and automation.
• Strong system design and API development skills.
• Experience with containerized environments such as Docker and Kubernetes
• Strong communication skills and ability to collaborate across engineering, data science, and product teams.

Nice to Have

• Production experience with vision models.
• Experience architecting and deploying production ML/AI systems at scale
• GCP experience (especially BigQuery).
• Experience with pipeline orchestration frameworks (Airflow, Prefect or Dagster)

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. 

We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.

About the Role:

As the AI Backend engineer  at Transmit Security, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. You’ll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.

This role requires both strategic thinking and hands-on expertise. You’ll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.

What you’ll do:

• Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
• Build scalable APIs and microservices that interface with LLMs and AI frameworks
• Implement agent orchestration systems, tool calling mechanisms, and workflow engines
• Optimize performance and reliability of AI-powered applications at scale
• Develop data pipelines for training, evaluation, and monitoring of AI systems
• Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions

What you’ll need:

• Excellent coding skills in Python/TypeScript, with at least 5 years of hands-on experience building reliable backend services, agents and tooling. Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) is a strong advantage.
• Experience designing, deploying, and maintaining production systems that integrate ML components, including APIs, microservices, model serving layers, feature pipelines, monitoring, and CI/CD/MLOps workflows.
• Solid experience with AI related contexts Understanding of prompt engineering and LLM optimization techniques, RAG architecture
• Solid understanding of distributed systems concepts, performance optimization, observability, and operating services at scale.
• Strong communication skills, with the ability to bridge technical, product, and business perspectives.
• Prior experience in cybersecurity, fraud prevention, or identity management is a plus, especially with secure system architectures or ML-augmented decisioning systems.

Advantages

• Experience integrating with LLM APIs (OpenAI, Anthropic Claude, etc.)
• Experience with agent frameworks (LangChain, LlamaIndex, AutoGPT)
• Background in ML/AI concepts and model deployment
• Experience with message queues (RabbitMQ, Kafka) and event-driven architectures
• Experience with function calling and tool use patterns in LLMs

#LI-AM1 #LI-Hybrid 

#LI-TL1 #LI-Hybrid