דרושים » תוכנה » Platform Team Lead

Required ML Platform Engineering Team Lead - Sovereign AI Engineering
We're building AI that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. This role helps make that real.
The Dream Job
It starts with you - a technical leader driven to build both the ML platform and the engineering team behind it. You care about reliable infrastructure, great developer experience, and growing engineers through real ownership. You'll set the technical direction for our ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - shaping how models reach production across cloud and on-prem, including air-gapped deployments. A significant part of the platform supports large language models, with unique challenges across training, evaluation, and inference in mission-critical environments. You stay close enough to the codebase to debug production issues, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the ML platform driving Sovereign AI products - this role is for you.
Responsibilities
Set technical direction for the ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - through RFCs, prototypes, design reviews, and build-vs-buy decisions
Lead and grow a team of ML Engineers - hire, mentor, pair on hard problems, and raise the bar through code and design reviews
Contribute to critical systems, debug production issues, and maintain deep context on the codebase to inform technical decisions
Own operational excellence for model serving - set and enforce SLAs, run capacity planning, and keep compute costs predictable
Establish ML engineering standards - reproducible experiments, automated evals, model packaging, CI/CD for models, and observability
Support the full lifecycle of our models - from training on domain-specific data to low-latency inference powering production systems
Work closely with Data Platform, AI, Data Science, and Product teams - translate business priorities into engineering work and manage cross-team dependencies
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as model performance.

Required AI Platform Engineering Team Lead - Sovereign AI Engineering
We're building AI that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. This role helps make that real.
The Dream Job:
It starts with you - a technical leader driven to build both the agentic AI platform and the engineering team behind it. You care about backend quality, platform reliability, and growing engineers through real ownership. We are AI-first across the board - every team builds and operates agents. You'll set the technical direction for the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation infrastructure, tool-calling systems, and retrieval pipelines. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments. You stay close enough to the codebase to debug production incidents, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the agentic AI platform driving Sovereign AI products - this role is for you.
Responsibilities
Architect and evolve the AI platform - agent orchestration, LLM gateways, context engineering pipelines, evaluation infrastructure, tool-calling systems, and retrieval pipelines - through RFCs, prototypes, and design reviews.
Lead and grow a small team of AI Engineers building the agent framework, production backend services, and AI platform infrastructure - hire, mentor, pair on hard problems, and raise the bar through hands-on code and design reviews.
Contribute to critical systems, debug production incidents, and maintain enough codebase context to make sound technical calls.
Own reliability across AI and agent services - set and enforce SLAs, build observability for non-deterministic systems, and harden tool execution environments for cost and security.
Set the standard for AI engineering practices - agent testing strategies, evaluation frameworks with human-in-the-loop oversight, retrieval quality benchmarks, and CI/CD for AI systems.
Work closely with ML Platform, Data Platform, DevOps, Data Science, and Product teams across the Applied AI Engineering group - ensure the AI platform evolves to serve teams building agentic workflows across the organization.
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as system performance.

We are looking for a strong technical leader to lead our Runtime team - one of the most critical backend teams. The Runtime team owns the execution layer of all our automations, the core of our product. The team operates at a significant scale, processing hundreds of millions of steps and millions of security events every day in systems that simply cannot break.

You will lead a strong team of five senior engineers and take ownership of both the people and the technology. This role combines team management with deep technical leadership: developing engineers, setting the technical vision, leading design and architecture decisions, and staying close enough to the code to step in when needed.

What Will You Do?
Lead, mentor, and develop a team of five experienced backend engineers.
Own the teams technical vision, priorities, execution, and long-term direction.
Lead the design and implementation of architectural changes that keep our platform reliable at massive scale.
Drive complex, cross-team projects and influence technical decisions beyond your immediate team.
Lead production incidents and post-mortems, and continuously raise the bar for reliability and operational excellence.
Identify risks and problems before they impact production, and build the processes and infrastructure needed to prevent them.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Use data to understand how customers interact with the platform and turn emerging use cases into new product capabilities.
Help lead significant technical initiatives, including the evolution from GCP toward a Multi-Cloud architecture.
Work with modern AI tools such as Cursor and Claude Code as a core part of the development workflow, while maintaining deep technical understanding and high-quality standards.

We're looking for an Engineering Group Manager to lead this group. Reporting to the VP of R&D, you'll own the engineering execution, architecture, and technical direction of the products that define what Optibus is. You'll lead a group of full-stack team leads and engineers building large-scale, complex SaaS products on a cloud-native platform, working closely with our Algorithms group.

This is not a 2024 group manager role. We are not hiring someone whose day is meetings, status reports, and approvals. We are hiring a hands-on technical leader who codes, designs systems, drives architecture, leverages AI as a force multiplier, and is measured by impact rather than headcount.

What You'll Own

R&D leadership partnership. You're a key member of the R&D leadership team, actively shaping departmental strategy and driving high-level decisions across the organization - not just running your own group.
The core of the product. Engineering ownership of Planning, Scheduling, and Rostering - the products at the center of the platform, used by transit agencies and operators worldwide.
Architecture and technical direction. You set the technical bar. You participate in design, review architecture, write PRDs, and dive into code reviews when it matters. The hardest problems land on your desk.
A group of team leads and engineers. You'll mentor team leads, grow engineers, and build a small, sharp, high-leverage organization rather than a large one.
Delivery, quality, and velocity. You drive the engineering processes that ship a high-quality product on production-grade SaaS - fast, with low defect rates, and with continuous improvement.
AI-native engineering. You leverage AI agents and automation to multiply the output of your group - both in how the team builds software and in what we build into the product.
Cross-functional partnership. Tight collaboration with Product, Design, Algorithms, and Customer-facing teams to translate complex transit-domain needs into shipping software.

We are looking for a strong technical leader to lead one of our product-focused R&D teams at Torq.

This team owns meaningful product capabilities used across the Torq platform and works closely with Product, Design, and other engineering teams. The role combines people management, technical leadership, and strong product thinking - from understanding customer needs and shaping solutions to delivering high-quality features in production.

You will lead a team of experienced engineers, develop their skills, set clear priorities, and create an environment of ownership, collaboration, and continuous improvement. At the same time, youll stay close to the technology, lead design decisions, and step into the code when needed.

What Will You Do?
Lead, mentor, and develop a team of engineers.
Own the teams execution, priorities, and long-term direction.
Work closely with Product and Design to turn customer needs into simple, scalable solutions.
Lead features and projects from early definition and design through production.
Drive technical design and architecture decisions while balancing product needs, quality, and delivery.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Build strong collaboration with other teams and lead cross-team initiatives.
Create clear processes and ownership as the team and its scope continue to grow.
Take part in hiring and help shape the teams professional standards and culture.
Use modern AI tools such as Cursor and Claude Code as part of the development workflow while maintaining high-quality engineering standards.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

Were looking for an experienced Full Stack Team Leader to lead the engineering team behind our Customer Portal-the central platform used by every customer across all of our products. This role reports directly to the VP R&D and combines technical leadership with product ownership, cross-functional collaboration, and execution.

As the engineering leader of the Customer Portal, youll shape one of the companys most strategic products, ensuring customers enjoy a seamless experience throughout their entire journey with us. Youll lead a talented team, drive technical excellence, champion AI adoption, and collaborate closely with stakeholders across Product, Marketing, Customer Success, Support, Sales, and Design to deliver customer-facing capabilities with direct business impact.

Were looking for someone who doesnt wait for direction. You naturally identify opportunities, challenge the status quo, and drive initiatives from idea to execution. You inspire your team through technical leadership, raise the engineering bar, and continuously look for better ways to build products and develop people.

What Youll Do
Lead, mentor, and grow a team of Full Stack Engineers, fostering a culture of ownership, accountability, innovation, and continuous improvement.
Own the technical execution and delivery of the Customer Portal roadmap, serving customers across all our products.
Partner closely with Product Management and business stakeholders to translate strategic objectives into scalable technical solutions.
Collaborate daily with Product, Marketing, Customer Success, Support, Sales, and Design to deliver an outstanding customer experience.
Lead architectural decisions, ensuring the platform remains scalable, secure, maintainable, and ready for future growth.
Drive engineering excellence by establishing high standards for code quality, testing, observability, performance, reliability, and operational excellence.
Champion AI-first engineering practices by driving adoption of AI tools and workflows that improve developer productivity, code quality, and delivery velocity.
Proactively identify opportunities to improve the product, engineering processes, and team effectiveness. Bring ideas, challenge existing approaches, and lead meaningful technical and organizational improvements.
Lead planning, prioritization, estimation, and execution while balancing business priorities with technical investments.
Remove blockers, manage technical risks, and create an environment where the team can consistently deliver high-quality outcomes.
Stay hands-on when needed, contributing to architecture, design, code reviews, and implementation of complex features.

As a Data Platform Engineering Team Leader on the Infrastructure R&D Department in our Tel Aviv office, youll lead the engineering team behind the data platform powering our companys reporting, billing, experimentation, ML training, and revenue optimization. Youll shape the technical direction of one of our most critical platforms, grow exceptional engineers, and solve complex data infrastructure challenges at massive scale-building systems that are reliable, scalable, and easy to use.

We are seeking a Backend Tech Lead to join a Full-Stack team that is part of the group responsible for main product line, the Imaging platform.
This team focuses on the radiologist's experience, providing the primary access point to AI. The team manages the application installed on the radiologist's computer and the Python-based Gateway service that delivers data to its endpoints.
In this role, you will be responsible for leading the design and development of our backend services, encompassing architecture, coding, and developer mentorship.
Responsibilities:
Lead Full-Stack Development: Lead the design and development of scalable and reliable backend services that power radiologist-facing applications.
Architectural Leadership: Drive architectural discussions and make key technical decisions within the team's domain, ensuring high quality, performance, and maintainability
Ownership: Receive end-to-end ownership for product features from ideation to deployment, and work closely with Product and UX to bring the teams imagination to life.
Development Work: Contribute hands-on to the implementation of backend services and occasionally to frontend components when needed.
Mentorship: Mentor and support engineers through design reviews, code reviews, and architectural discussions, promoting technical excellence and best practices.
Incorporate Best Practices: Champion best practices for code quality, testing, and CI/CD processes to enhance delivery consistency and reliability.
Strategic Collaboration and Influence: Work cross-functionally with product, design, and other engineering teams to ensure alignment and technical coherence across the Imaging Platform