Engineering Manager, Productivity 

JOB DESCRIPTION

Your Impact
Imagine the year 2030. Advanced technology has automated routine tasks to put Police Officers back in the community, dramatically improving the quality and safety of our lives. Artificial Intelligence connects the dots and surfaces insights to help prevent crime and keep officers and citizens informed and protected.
Today, public safety officers spend up to 40% of their time on the job filling out paperwork. Not only is this tedious for officers, but the never-ending pile of paperwork reduces the amount of time they can spend out in the field, protecting their communities.
That’s why we’re building a brand-new Mobile team for Axon Records, our cloud-based platform that cuts down on paperwork so that officers can spend more time prioritizing the safety of our communities. Rather than relying on memory or taking notes on paper, officers would be able to capture information and evidence on-the-go with their mobile devices.
As the Engineering Manager of the Mobile team, you will play a big role in our overall mission to enhance the productivity of public safety officers. You will own the end-to-end success of the new Mobile team, from hiring, planning to execution.
Sound exciting? We think so too. Check out this short video to learn more about where we're heading, and apply now to join a team that's turning this vision into a reality.
Your Day-to-Day
Hire and grow a world-class engineering team
Work with Product Managers and Product Designers to set goals and plan the team roadmap
Execute and deliver new features and improvements to customers on a regular basis
Leading the engineering and operational excellence for your team
Opportunities to join forces with other partner teams in Vietnam and US
Coaching your team for continuous improvements

JOB REQUIREMENT

A customer-focused engineering leader who has led and launched complex web-based applications
3+ years of frontend or full-stack web development experience
You have a high standard of excellence for yourself and others around you
Strong communication skills both written and verbal
Proficient in Javascript or Typescript, HTML5, CSS, and component-based frameworks like React
Experience with hiring and mentoring engineers
Experience managing complex projects with multiple stakeholders
Preferred Qualifications
Experience with frontend infrastructure & tooling, i.e. webpack
Experience with UX or UI design, especially for responsive mobile interfaces
Experience with GraphQL
Experience with logging and metrics tools like MixPanel, Splunk, DataDog

WHAT'S ON OFFER

An awesome office/working environment with the latest technologies
Competitive salary and benefits including a great medical insurance plan for you and your family
Free lunch, gym, phone stipend, parking
Fun team activities and outings
Flexible working hours
Opportunities for training in the US
Opportunities to ride along with real US police officers in real life situations, see them use our technology, and get inspired

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Offshore, Product B2B

Technical Skills:

Frontend, ReactJS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J00713

Status:

Close

Related Job:

Engineering Manager - AI for RAN and 6G Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Machine Learning
  • Management
  • AI

Manage and expand an engineering team focused on AI-enabled signal processing for the Radio Access Network (RAN). Supervise the development of deep learning models for various tasks related to RAN. Work with global teams to drive proof-of-concepts and production-quality AI-RAN components. Supervise the integration of AI models into full-stack simulations and/or testbeds using various frameworks. Align project priorities with hardware-software co-design constraints and deployment scenarios. Provide mentorship and guidance to team members, ensure technical excellence, and contribute to strategic direction.

Negotiation

View details

Director Engineering – Software Engineering and AI Inferencing Platforms

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Management
  • Backend
  • Devops
  • Data Engineering
  • Cloud
  • AI

Lead and expand engineering teams in Vietnam across system software, data science, and AI platforms. Drive the creation, structure, and delivery of high-performance system software platforms that support AI products and services. Collaborate with global teams across Machine Learning, Inference Services, and Hardware/Software integration to guarantee performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship services. Collaborate with open-source and enterprise data and workflow ecosystems to advance accelerated AI factory, data science, and data engineering workloads. Promote continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Work with product management and other stakeholders to ensure enterprise readiness and customer impact. Establish and implement standard processes for large-scale, distributed system testing including stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Negotiation

View details

Principal Engineer, System Software Platform Engineering

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Devops
  • Backend
  • AI

Create and manage a platform for AI that provides services for multiple users, handles identity and policy management, configures quotas, and controls costs. Additionally, this platform should offer easy paths for teams to work on AI projects. Oversee the deployment of AI models at scale, including routing, autoscaling, and implementing safety measures to ensure reliability and observability. Manage GPU resources in a Kubernetes environment, including device plugins, feature discovery, and scheduling strategies, among other responsibilities. Take charge of the entire lifecycle of GPUs, ensuring that driver, firmware, and runtime updates are implemented safely and consistently. Implement virtualization strategies for GPU resources, such as vGPU and PCIe passthrough, while defining policies for resource placement, isolation, and preemptive actions. Establish secure traffic and networking protocols, including gateways, service mesh, and authentication/authorization measures. Enhance observability and operational efficiency through monitoring tools for GPUs, response protocols for incidents, and optimization of costs. Develop reusable templates, integrate SDKs and CLIs, and implement infrastructure-as-code standards for the platform. Influence the platform's direction by creating design documents, mentoring engineers, and aligning platform development with the needs of AI products.

Negotiation

View details