דרושים » תוכנה » Team Lead

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.

Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

Job ID: 20153.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Staff Software Engineer on the Agent Platform Detection team, you will be the technical visionary responsible for defining and evolving the architecture of our detection, triage, and response platform. You will lead the design and execution of backend systems and SaaS services that power alert propagation, alert lifecycle management, and response capabilities at extraordinary scale. Your technical leadership will bridge the gap between long-term architectural strategy and high-velocity product delivery, influencing how detection and response workflows are built and operated across our company's platform.
What Will You Do?
Primary responsibilities include:
Architectural Vision: Define and drive the long-term technical roadmap for the Agent Platform Detection domain, owning the architecture of backend systems that power alert ingestion, triage, lifecycle management, and response workflows across our company's SaaS platform.
System Design at Scale: Lead the design and implementation of highly available, cloud-native services that process billions of security events daily, ensuring alerts move reliably and efficiently from ingestion through investigation and action for the world's largest enterprises.
Technical Leadership & Influence: Act as a key stakeholder in cross-organizational architectural reviews, ensuring the Detection platform provides the extensibility, reliability, and observability that other product teams depend on. Drive alignment across engineering, product, and design on the technical direction of the team's feature area.
Full-Stack Depth: While backend-oriented, bring practical depth across the stack - owning and evolving frontend components in the company console built in React and TypeScript, and ensuring complex detection and response workflows are exposed in a clean, usable, and performant way.
Operational Excellence: Champion engineering best practices across the team, including advanced observability, alert health reporting, performance optimization, and the continuous improvement of runbooks, diagnostics, and incident response processes.
Mentorship & Growth: Elevate the engineering bar by mentoring Staff and Senior engineers, fostering a culture of technical excellence, accountability, and proactive problem-solving across the team.