As a Backend Team Leader, you will lead a team of backend and MLOps engineers that owns the systems behind our AI-driven product features. Your team works closest to our AI group - the Algorithms and Data teams - and owns the engineering side of turning models into reliable production capabilities.

Concretely, that means owning real backend architecture - the services and APIs that carry AI-driven capabilities into the product, the data collection pipelines that feed model training, the storage and query layers that hold model outputs and the insights we derive from them, and the validation pipelines that let us trust production flows. You will make the core design decisions on service boundaries, data models, event flows, and scale and cost tradeoffs, in a domain where both the data volume and the correctness bar are high. You do not need to arrive as an ML expert. You do need to be the kind of engineer who walks into an unfamiliar domain, learns it properly, and starts making good decisions in it.

What you'll be doing -

Lead and grow the team
Manage backend and MLOps engineers, some embedded in product pods; coach on delivery, decision-making, and career growth
Set clear expectations for ownership and quality; track progress against team goals, surfacing risks early.

Own the backend behind our AI features
Build and scale data pipelines with the AI group, and design how model insights are stored, queried, and exposed to the product
Build validation pipelines and partner with the Algo team to take models from experiment to production.

Drive architecture direction and alignment
Align backend decisions with the wider group, guide design discussions, and keep specs and plans on time
Collaborate with the platform team on infrastructure, deployment, and reliability standards.

Improve reliability and operational readiness
Raise the bar on stability, observability, and alert quality
Turn recurring issues into focused engineering work; lead debriefs and drive action items to completion.

We are seeking an experienced Lead Software Engineer (Backend & AI) to drive the design, development, and scaling of advanced backend systems and AI-powered solutions.
In this role, you will combine deep backend engineering expertise with strong AI understanding, leading a team to deliver high-performance, data-driven products. You will play a key role in shaping system architecture, integrating AI capabilities, and ensuring production-grade reliability at scale.
Key Responsibilities:
*Technical Leadership*
Lead the architecture and development of scalable backend systems and APIs
Design and implement AI-driven features, including AI model integration and inference pipelines
Define and enforce best practices for distributed systems, data processing, and system reliability
Own end-to-end system design, including performance, scalability, and security
*AI & Data Engineering*
Collaborate with data scientists/AI engineers to deploy, optimize, and monitor AI models in production
Build and maintain data pipelines and infrastructure supporting AI workloads
Ensure efficient model serving, versioning, and lifecycle management
Optimize performance of AI components (latency, cost, scalability)
*Team Leadership & Mentorship*
Lead, mentor, and grow a team of backend and/or full-stack engineers
Foster a strong engineering culture aligned with Israeli tech ecosystem standards (ownership, fast iteration, innovation)
Conduct code reviews and provide technical guidance
*Delivery & Execution*
Partner with Product, Data, and Business teams to define technical solutions
Drive end-to-end delivery of complex projects in a fast-paced environment
Break down ambiguous problems into actionable plans
Ensure timely and high-quality releases
Cross-Functional Collaboration
Work closely with AI teams, DevOps, Architects and Product
Translate business needs into robust technical solutions
Communicate complex technical topics to non-technical stakeholders

As Backend Platform Team Leader, you'll lead the Platform pod. The pod owns our shared backend infrastructure (Kubernetes, Redpanda (Kafka), RabbitMQ, CI/CD, observability, and more), and it builds the tools, architecture and agentic workflows that let engineers in every other pod ship faster and more safely, at our growing scale

The role has two parts. As Pod Lead, you own the pod's direction, planning, delivery, and working process. As People Manager, you own the growth and performance of 3-4 direct reports, some of whom may work in other pods.

What you'll be doing -
Infrastructure Ownership: Keep our shared infrastructure reliable, secure, and cost-efficient, and make every change to it safe and well planned.
Architectural Evolution: Lead multi-quarter programs that reshape our backend, and migrate services onto them safely.
Reliability: Make sure problems surface early, and drive incidents to their real root cause.
Direction and Delivery: Maintain one clear, prioritized plan that you know in depth, and run a predictable team.
Planning and Delivery: Own sprint and quarter planning. Maintain one clear, prioritized plan that you know in depth, and run a predictable team.
Pod Process: Follow the PDLC, uphold the company's working processes and policies, and continuously shape and improve how the pod works.
Technical Ownership: Know the pod's systems and how they fit together deeply enough to reason about them with confidence, guide design decisions, and challenge assumptions.
People Leadership: Set clear goals and expectations, give honest feedback, invest in each report's growth, and stand behind your people. Where your reports work in other pods, stay aligned with those pod leads.