Sr. WIndows Developer

Greylock Partners; Redwood City (CA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Greylock Partners is seeking an engineer to architect and build the Windows foundation for next-generation AI-native endpoint management and security products. The role focuses on C#/.NET with deep C++ expertise for native, performance-sensitive components, collaborating with AI/ML scientists and OS/security teams.

You will work on telemetry, resource management, and secure on-device AI capabilities within enterprise Windows environments, reporting into the Windows Endpoint Engineering group.

Qualifications

• Architect Windows foundation for enterprise endpoint management/security.
• Deep C++ and C#/.NET integration.
• Experience with Windows techniques (Win32, COM, services).

Responsibilities

• Architect and build Windows agent components for on-device AI workflows.
• Collaborate with AI/ML scientists, OS engineers, and security architects.
• Optimize performance and resource usage on enterprise endpoints.

Skills

C#/.NET development

C++ system-level

Windows architectures

P/Invoke / interop

Telemetry & diagnostics

Resource-constrained systems

AI-assisted development

Tools

Win32

WinRT

Direct2D/Graphics

Job description

Location: Redwood City, CA / Hybrid, minimum 3 days per week in office

Funding Round: $XX M Seed

Industry: AI-native endpoint management, enterprise resilience, and cybersecurity

Founding Team: Experienced cybersecurity founders and technical leaders with previous successful company-building outcomes.

Team Size: 20

Technology: This Greylock-backed company is building an adaptive, AI-native platform for endpoint and device management. Its distributed architecture allows endpoint agents to monitor, reason, coordinate, patch, and secure devices locally rather than depending entirely on a centralized control plane.

Opportunity: This engineer will help architect and build the Windows foundation for the company’s next generation of AI-native endpoint management and security products.

The role is primarily focused on C# and modern .NET development, but requires deep C++ expertise for native, performance-sensitive, and system-level components. You will work closely with AI/ML scientists, OS engineers, and security architects to determine how intelligent agents can operate securely and efficiently within enterprise Windows environments.

A major part of the challenge is delivering on-device AI capabilities while maintaining the lightweight footprint, reliability, and resource controls expected of a production enterprise endpoint agent.

• Windows Endpoint Engineering: Experience building enterprise endpoint agents, endpoint security products, device-management systems, or other software that interacts deeply with the Windows operating system.
• C#/.NET Development: Strong production experience developing Windows applications, services, and tools using C# and modern .NET.
• Native C++ Expertise: Deep C++ experience with system-level components, plugins, native-memory management, threading, debugging, and performance optimization.
• Windows Systems Depth: Experience with Win32, COM, WinRT, Windows Services, Task Scheduler, the Registry, WinAppSDK, GDI+/Direct2D, WIC, or related Windows technologies.
• Managed/Native Integration: Experience connecting C# application layers with high-performance C++ components through P/Invoke, C++/WinRT, C++/CX, or similar interoperability mechanisms.
• Telemetry and Diagnostics: Deep experience with Windows telemetry, Event Tracing for Windows, diagnostic pipelines, profiling, or system-level instrumentation.
• Resource-Constrained Systems: Ability to establish and optimize CPU, memory, GPU/NPU, power, and other resource limits for software running continuously on enterprise endpoints.
• Applied AI: Experience integrating AI/ML models, agentic systems, LLMs, or adaptive workflows into production software. Familiarity with GPU or NPU acceleration for on-device AI is especially relevant.
• Enterprise Deployment: Familiarity with Windows code signing, driver development, or driver deployment processes. Exposure to endpoint agents on macOS or Linux is also valuable.
• AI-Native Development: Experience using AI-assisted development tools to design, implement, test, and optimize production-grade software.