דרושים » הנדסה » Lead Engineer / VP R&D

A senior, hands-on engineer joining a small team that is already shipping a live platform. You own whole features end to end, from a rough problem to something running in production that a hospital relies on. You will not wait for a spec, and you help set the bar for how we build as we grow.
What you'll own
Whole feature verticals across frontend, backend, data, and cloud: the auditable AI record, the workflows around it, and the ingestion behind them.
The reliability of what you ship, including incidents on your own code.
Local architecture and tooling calls, made without escalating everything.
The engineering-quality bar a small team compounds on: review, testing, and the habits later hires inherit.

We're hiring a Mobile Team Lead to own the AppHarbr SDK, GeoEdge's mobile division that gives publishers real-time control over ad quality across iOS and Android. About AppHarbr AppHarbr is GeoEdge's mobile division, a lightweight SDK that integrates directly into apps and games, giving publishers real-time control over ad quality. It proactively blocks disruptive, intrusive, and malicious ads before they ever reach users. Trusted by industry leaders, AppHarbr runs at scale across some of the world's most widely used mobile apps, sitting at the intersection of mobile performance and ad security. The role We are looking for an experienced Mobile Team Lead to take full ownership of the AppHarbr SDK across iOS and Android. This is a hands-on technical leadership role, you will spend the majority of your time making architectural decisions, setting technical direction, and driving cross-functional execution across a team that includes offshore contributors, while writing and reviewing code. This is a team that moves with the tools available to it, AI-assisted development is part of how we work, not a future aspiration. The SDK runs inside production apps across millions of devices, operating in real time alongside a continuously evolving ecosystem of third-party mediation layers and ad networks. Reliability, backward compatibility, and runtime performance are baseline expectations, not aspirational goals. Responsibilities Technical
* Architect and develop high-performance, multi-threaded SDK code across iOS and Android
* Drive platform technical decisions, performance optimizations, and deep research into OS internals and third-party SDK behavior
* Own SDK stability across the full compatibility matrix, OS versions, devices, and mediation integrations
* Lead complex debugging efforts, reverse-engineer third-party integrations, and resolve integration issues for internal and external stakeholders
* Define and enforce best practices in testing, code quality, and CI/CD workflows
* Handle billions of impressions across millions of devices every day, maintaining a robust and scalable system at significant traffic scale
* Leverage AI-assisted development tools to accelerate code generation, debugging, and SDK analysis, and set the standard for how the team adopts them effectively Leadership
* Lead, mentor, and grow a cross-platform mobile team including offshore contributors
* Own the AppHarbr domain end-to-end, translate product and business goals into technical execution
* Act as the primary technical point of contact across Product, Backend, QA, Customer Success, and external partners
* Conduct code reviews and provide ongoing technical guidance to raise the bar across the team Requirements
* Proven hands-on experience shipping production code on both Android and iOS
* 5+ years of professional mobile development, with 2+ years in a formal Team Lead or engineering management role, with proven people management experience
* Deep understanding of OS internals, memory management, and multi-threaded architectures on both platforms
* Strong ownership mindset, able to operate independently and drive initiatives from inception to production
* Excellent debugging skills, with a modern toolset that includes AI where it adds real value Strong advantages
* Experience building or leading teams building mobile SDKs
* Experience managing remote or offshore engineering teams
* Background in adtech, mobile monetization, or ad quality
* Familiarity with Unity integrations and ad mediation frameworks
* Broad product and business perspective, able to coordinate across multiple stakeholders inside and outside the organization Working at GeoEdge GeoEdge is the global leader in ad security and quality, trusted by hundreds of the world's top publishers, ad platforms, and app developers. We are a focused team that cares about craft and impact. You will work on a pr

We're hiring the engineering leader who will own its AI core.
Small senior team, greenfield architecture and real production environments from day one. You'll be one of the founding technical leaders - writing code, shaping the architecture, and growing the team as the product scales.
What You'll Do:
Agent Architecture & Engineering:
Design and build the AI systems at the center of the product: researcher agents, deterministic runners, multi-agent orchestration across thousands of targets and hundreds of sites.
Own the full agent stack - LLM selection and behavior, RAG pipelines, tool use, memory, evaluation, and observability. Make architectural decisions that will define how the product works for years.
Drive adoption of the modern agent ecosystem: LangGraph, MCP, semantic tool discovery, hybrid edge/cloud workflows, A2A patterns. Keep pushing the frontier.
Safety & Reliability:
Design for progressive autonomy: pre-checks, fault tolerance, rollback, and full audit trails. In our customers' environments - critical infrastructure, enterprise security - a wrong action has real consequences.
Build the evaluation and observability pipelines that make autonomous agent behavior trustworthy and debuggable in production.
Partner with Security and DevOps on agent execution boundaries, especially across on-prem ↔ cloud data flows.
Technical Leadership:
Spend most of your time in the codebase. Set the technical bar by example - architecture, code quality, and engineering judgment.
Establish standards for testing, evaluation, and safe deployment of AI systems. Build the practices that scale with the team.
Work directly with the PM and enterprise design partners to shape the roadmap. Your decisions will drive the product, not just execute it.
Team:
Start with a small senior group, grow it deliberately. Hire well, mentor, and shape the engineering culture of a startup inside a public company.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Full Stack Engineer, you will build the technology powering our companys Operation Center - the real-time heartbeat of our global service. This is a rare opportunity to own mission-critical systems that shape the daily lives of hundreds of thousands of riders. You will have full-stack ownership, working with a sophisticated stack and a team that values high-quality craft. We are looking for a high-agency engineer who leverages modern AI to outpace traditional workflows and is ready to grow into a formal leadership role.
About the Role:
End-to-End Ownership: Lead the development of our companys real-time operation center, managing complex routing, driver dispatching, and mass-scale user communication.
Full-Stack Architecture: Architect and ship features across our stack (React/TypeScript/Redux and Python microservices) with an emphasis on performance and scalability.
AI-Augmented Development: Integrate AI-driven tools (Copilot, Cursor, LLM-based testing/refactoring) into your daily workflow to increase velocity and maintain elite code quality.
Future Leadership: Mentor junior/mid-level engineers, drive technical roadmaps, and set the standard for engineering excellence within the team.
Strategic Collaboration: Work directly with Product and Design to translate ambiguous operational challenges into elegant, scalable technical solutions.

We are hiring Senior Forward Deployed Engineers - the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.

The Senior Builder Experience

Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.

AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.

Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.

Continuous Innovation: You're expected to stay at the forefront - piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.

We are looking for a Technical Lead to drive the architectural direction and engineering excellence of this group. This is a senior, deeply hands-on role for a technology leader who can own the technical roadmap, mentor a team of elite engineers, and build the infrastructure that challenges platform to its theoretical limits.
What You'll Lead:
Define and own the technical architecture of the group's distributed testing and reliability platform - designing for massive scale, real-world workload simulation, and adversarial failure injection
Lead effort involving multiple engineers, setting technical standards, running architecture reviews, driving design decisions, and mentoring engineers to grow
Build the systems that orchestrate millions of concurrent IO operations, inject chaos at the infrastructure layer (latency, packet loss, hardware failures), and expose the hardest-to-find race conditions and consistency bugs
Advance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines
Drive observability and reliability engineering across the group - building telemetry pipelines that track P99 latency, jitter, and system health, turning quality into a quantitative discipline
Collaborate deeply with Core R&D, Storage Kernel, and Infrastructure teams - translating architectural knowledge into targeted reliability strategies
Establish engineering practices - design docs, production-grade code reviews, testing philosophy, and cross-team technical alignment

we are on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, we are recognized as the leading transportation technology and service provider globally.
As a Software & Data Engineer at our company, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how our company understands and improves its service for cities and riders around the world.
About the Role:
Design and build highly scalable, reliable data pipelines that serve clean, structured data across our company's engineering, product, and business teams - ensuring the entire organisation can trust the data it works with
Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale
Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement
Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on
Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how our company operates
Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena.

We're looking for a Field CTO / Principal Architect to serve as our most senior technical voice in the field - trusted by CTOs, CISOs, and engineering leaders at our most strategic enterprise accounts, and a technical backbone for our Pre-Sales and Field organization.

This is a hybrid role at the intersection of customer-facing technical leadership, security expertise, and field enablement. You'll lead high-stakes architecture conversations and proof-of-concept engagements, serve as an escalation point for both customer-facing technical challenges and internal Product/Engineering alignment, and build the playbooks and materials that make every Sales Engineer and Pre-Sales professional more effective.

What Youll Do
Responsibilities:
Serve as the primary senior technical presence in strategic and enterprise accounts, building trusted relationships with CTOs, CISOs, architects, and senior engineering leaders.
Lead architecture sessions, executive briefings, and POCs that demonstrate the depth and differentiation of the platform, while being the voice of technical truth in the sales process.
Help enterprise customers understand their AI agent risk surface and build a credible path toward governance, observability, and control.
Elevate the broader Sales Engineering team by sharing knowledge and building reusable technical assets (architecture guides, security frameworks, deployment playbooks).
Partner with GTM on positioning, technical objection handling, and competitive differentiation in senior-level enterprise deals, and represent us at industry events, advisory boards, and analyst briefings.
Bring structured feedback from the field to Product, Engineering, and Research, identifying patterns across accounts and influencing roadmap priorities based on what top customers need.

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.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our company engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI at our company, 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 companys 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 companys 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 at our company 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 at our company will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.