About the client

They are reimagining video security for the modern world. Their cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster—from real-time alerts to seamless clip sharing and multi-site visibility.

You’ll be joining an ambitious, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.

About the Role

We are looking for an Engineering Manager to lead the Core Engineering team in India, working on the systems that power our edge-computing platform.

The team works on technically challenging problems across C++, edge computing, high-concurrency systems, low-latency processing, memory management, and machine-learning workloads running on compute-constrained devices.

This is a hands-on engineering leadership role. You will lead and grow a high-performing team while staying close to architecture, system design, technical decision-making, and critical engineering problems.

As the team scales, you will play a key role in building the engineering organization, raising technical standards, mentoring engineers and managers, and partnering closely with leadership on product and technical strategy.

Responsibilities

Technical Leadership

- Lead the architecture and development of core systems powering our edge-computing platform.
- Drive technical decisions across C++, distributed systems, low-latency and high-concurrency architectures, and resource-constrained environments.
- Review and guide critical architectural and implementation decisions while maintaining strong technical depth.
- Solve complex problems around memory management, performance, reliability, concurrency, and system scalability.
- Work closely with engineers on designing and building production-grade systems running across a fleet of deployed edge devices.
- Guide the deployment and optimization of machine-learning workloads on edge infrastructure.
- Establish strong engineering practices around observability, telemetry, reliability, and performance.

Engineering & People Leadership

- Lead, mentor, and grow a high-performing core engineering team.




- Hire and build the India engineering team as the organization scales.
- Set explicit technical and execution standards and create a culture of ownership and accountability.
- Conduct performance reviews, provide regular feedback, and support career development.
- Participate in hiring decisions and build a strong engineering talent pipeline.
- Identify and address performance gaps when required.
- Develop engineers into technical and people leaders as the organization grows.
- Partner with other engineering teams and leadership to align technical execution with company and product goals.

Strategy & Execution

- Own execution for key areas of the core engineering organization and ensure teams deliver reliably against business priorities.
- Participate in product and engineering decision-making, balancing technical quality, speed, reliability, and business impact.
- Work closely with the Head of Engineering and company leadership on technical roadmap and organizational planning.
- Help establish the engineering processes, systems, and team structure required to scale the organization.

Skills & Qualifications

- A Bachelor's or Master's degree in Computer Science
- Around 9+ years of software engineering experience, with meaningful experience leading engineering teams.
- At least 1+ year of engineering management experience, including ownership of people management and performance processes.
- Strong hands-on engineering background in C++ and a deep understanding of systems programming.
- Strong understanding of memory management, concurrency, and performance optimization.
- Experience designing and operating low-latency and high-concurrency systems.
- Experience working with resource-constrained, distributed, edge, IoT, hardware-integrated, or similarly challenging systems.
- Strong understanding of software architecture, distributed systems, and scalable production systems.




- Ability to remain technically hands-on and engage deeply with architecture, code, and complex engineering problems.
- Experience hiring, mentoring, managing performance, and developing engineers.
- Strong communication and collaboration skills, with the ability to influence technical and organizational decisions.
- Comfortable working in a fast-paced, high-ownership startup environment.

Good to Have

- Experience with edge computing or IoT platforms and managing fleets of deployed devices.
- Experience with GPU-based workloads or machine-learning inference at the edge.
- Experience with video processing and streaming, including technologies such as GStreamer.
- Experience with PyTorch or other ML frameworks and integrating ML models into production systems.
- Experience with infrastructure management and automation tools such as Salt.
- Experience with monitoring and observability platforms such as Grafana.
- Experience working with multiple programming languages such as Python, Java, or Shell.

Work Location

Bangalore – HSR Layout

This is a 5-day work-from-office role. We operate with a high level of ownership and flexibility rather than fixed login/logout hours.

What We Offer

- Flexible paid time off and paid holidays
- Early-stage equity in a rapidly growing company
- Referral bonuses
- Regular team off-sites
- Latest Apple products and access to a modern technology stack, including Claude Cowork, Perplexity Computer, Nooks, Clay, Instantly, and more

Why Join Us

We’re on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations.

From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.

Founded by ex-Lyft engineers, the company is backed by Ansa Capital, Battery Ventures, Mosaic, 8VC, and Up Partners. The company has raised over $65M and was named to the CB Insights AI 100 as one of the most promising AI companies in the world.

If you're excited about leading a technically exceptional team building mission-critical AI and edge systems that have real-world impact, we'd love to meet you.

Skills:- C++

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