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we are seeking an experienced Director of Engineering to lead and scale our software, QA, DevOps, and IT groups in a leading AI startup. This role combines strong people leadership, ownership of execution, and deep technical understanding of production-grade systems.
You will manage engineering managers, drive delivery excellence, and ensure alignment between R&D strategy and business priorities.
Responsibilities:
Lead two engineering groups: IT & DevOps and Software & QA
Manage and develop engineering managers and team leads
Own execution, delivery, quality, and operational excellence across all engineering domains
Drive scalable engineering processes, methodologies, and best practices
Partner closely with Product, Algorithms, Data, Security, and Business stakeholders
Ensure production stability, CI/CD excellence, system reliability, and security
Lead capacity planning, hiring, onboarding, and performance management
Translate high-level strategy into execution plans and measurable outcomes
Foster a culture of ownership, accountability, and continuous improvement
Support architectural and design discussions when needed (hands-on leadership mindset)

We are looking for a passionate VP of Engineering to help build our breakthrough AI product. As a VP of Engineering at Mosaic- AI, you will steer the development of our cutting-edge AI Sidekick and technologies.

In this pivotal role, your primary responsibility is to lead, guide, and mentor a team of talented software developers. You will be actively involved in planning, designing, and executing multiple software development projects while utilizing your extensive knowledge of software development to provide technical guidance and support to your team.



What are we looking for:

Strong Technical and Management Background
Expertise in Key Technologies:
Architecture savvy- A must
Proficiency in Python, with a solid understanding of software development best practices in this language- an advantage
Knowledge and hands-on experience with JavaScript, Typescript, and React/Angular- An advantage
Knowledge in Docker, micro-service architecture, FastAPI, Express, and Terraform- An advantage

We're looking for a VP R&D to build both the technical foundation and the engineering organization behind that platform. This is not pure people management, and it's not a chief-architect role in disguise. It's a rare combination: a deeply technical leader who can challenge the strongest engineer in the room on architecture, and who also builds an organization where talented people grow, decide independently, and own outcomes end to end.



What You'll Own

Technical direction: Define architecture and technical strategy with the CTO, Product and AI leadership. Make real tradeoffs between speed, simplicity, reliability and long-term scale. Stay deep enough to lead architecture reviews, surface hidden risks, and tell the difference between an impressive demo and a dependable production system.
An enterprise-grade agentic platform: Agent orchestration, planning and tool use governed knowledge and policy representation retrieval, context and memory evaluations human review and escalation permissions, identity, security and auditability reliability and observability cost, latency and model performance enterprise integrations.
The R&D organization: Design the structure for the company's next stage. Recruit exceptional engineers and engineering leaders at a consistently high bar. Grow managers and senior ICs who own major domains independently. Set clear expectations, feedback and performance standards - and build a leadership bench so the org doesn't depend on a handful of people.
Autonomy with accountability: Define outcomes, decision boundaries and interfaces, then push decisions as close to the problem as possible. Autonomy that produces better and faster decisions - not ambiguity, duplicated work, or diffused responsibility.
Velocity and quality together: An operating model that moves fast without normalizing instability. Better planning, testing, deployment, observability and incident learning. AI-native development as real leverage for every engineer, with clear standards for security, correctness and human judgment.
Business impact: Shape the roadmap with Product rather than receiving requirements. Join strategic customer conversations where technical leadership builds trust and unblocks adoption. Operate as a company leader, not only a function leader.

We are looking for an experienced Engineering Director to lead a Core Product engineering group in our Tel Aviv office. In this role, you will manage a group of Engineering Managers who each lead their own teams of engineers. You will be responsible for driving delivery, quality, and impact across one of our most critical product areas.
You will report to the Head of Engineering and partner closely with Product, Design, Data, and Go-to-Market leaders to shape strategy and ensure strong execution. This role requires a seasoned leader with deep people-management experience, strong product partnership, and the ability to lead through scale and complexity. The group also plays a key role in embedding AI capabilities into our core product experiences, making this an exciting opportunity to help shape how AI enhances workflows for millions of independent business owners.
A few of the things you will do:
Lead, coach, and support a group of 5 Engineering Managers overseeing multiple teams and dozens of engineers.
Develop and grow managers by helping them strengthen their leadership, decision-making, and team health.
Drive clarity, alignment, and focus across teams working on shared product goals and cross-team initiatives.
Partner closely with Product and Design leadership to shape roadmap, priorities, and execution plans.
Help define and deliver core product and Growth experiences, including initiatives that embed AI into key user workflows.
Translate company and product strategy into clear engineering direction and measurable outcomes.
Help teams plan effectively, make thoughtful tradeoffs, and deliver high-quality products in a predictable way.
Improve how teams collaborate across domains by refining planning, processes, and communication.
Lead cross-team initiatives and manage dependencies across multiple stakeholders.
Play a key role in hiring, org design, and scaling the engineering organization in Tel Aviv.

We're building one of the most agentic, fast-moving AI products in the web search category - and we need a leader who can own it end to end. This is a cross-functional group leader role sitting at the intersection of AI product leadership and high-scale AI infrastructure: you'll lead the team building our agentic search product, and own the data infrastructure that indexes and caches the web at scale.
What Youll be Doing:
Set technical and product direction for an agentic web search AI system, from research and benchmarking through production and scale.
Bring deep, hands-on expertise in LLMs, agentic architectures, evaluation/benchmarking, and modern AI/LLMOps practices; make build-vs-buy and architecture calls with authority, not just strategy.
Lead and develop small group of two teams with top notch engineers, providing technical leadership, growing engineering managers, and driving execution across both product and infrastructure.
Drive the product to a category-winning position within an aggressive timeline.
Own the infrastructure supporting an API surface currently serving millions of calls/month, with a mandate to lead its growth to billions/month.
Bring proven, hands-on experience scaling high-throughput, high-availability infrastructure - not just AI-adjacent platform experience - including reliability, cost, and performance at that scale.
Own the data infrastructure needed to run the product, including large-scale data pipelines, storage, and operations.
Lead a worldwide web caching and indexing operation at high scale, ensuring freshness, coverage, and cost-efficiency of the index.

We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.

What You Will Be Doing
Lead and grow a high-performing engineering organization responsible for our core product offering.
Define and execute the engineering strategy for our Kubernetes resource management platform, enabling DevOps teams worldwide to operate more efficiently.
Partner closely with Product, Design, and Go-to-Market leaders to translate business strategy into engineering execution.
Drive technical excellence, architectural direction, and engineering best practices across multiple teams.
Build, mentor, and develop engineering managers and senior engineers, fostering a culture of ownership, innovation, and continuous improvement.
Scale engineering processes, organizational structure, and delivery capabilities while maintaining a high bar for quality and execution.
Balance hands-on technical leadership with organizational leadership, making key architectural and strategic decisions when needed.
Create an environment where talented engineers can do their best work with a high degree of autonomy, accountability, and collaboration.

We're looking for a Head of Research to establish and lead research group - a strategic and hands-on leadership role for someone who thrives at the intersection of AI, infrastructure, and systems innovation. You'll identify high-impact research directions, validate cutting-edge technologies, and drive new approaches that translate into long-term competitive advantage . This is not an academic position, but an opportunity to build a research function that directly shapes product and technology.

Define and lead the company's research agenda in AI, infrastructure, and distributed systems
Explore and evaluate new algorithms, architectures, and approaches relevant to large-scale AI workloads and cloud cost efficiency
Collaborate with product and engineering to translate research into real-world impact
Build and manage a small, high-caliber research team
Publish findings, represent in the AI/infrastructure research community, and establish partnerships with academia and industry
Act as a thought leader driving innovation across the company

We are seeking an experienced and highly driven Director of Engineering to lead and scale our R&D team. This is a highly hands-on, deeply technical leadership role. You will be expected to actively contribute to codebases, lead by technical example, and ensure the high-quality delivery and scalability of our unified DataOps platform. This pivotal role requires a leader who can both deeply understand and solve complex technical challenges with code, while also inspiring and guiding a team to build innovative solutions. Reporting directly to the CTO, you will play a critical part in shaping our engineering culture, driving technical excellence, and fostering a collaborative environment that aligns closely with our product vision and business goals.

What You'll Do
Provide Technical Leadership & Guidance: Offer deep technical leadership, actively participating in coding, architectural design, and complex problem-solving to ensure high standards of code quality, scalability, and system reliability.

Lead & Grow Engineering Teams: Lead, mentor, and grow R&D engineering team, fostering a culture of technical excellence, hands-on problem-solving, and continuous improvement.

Drive Ownership & Accountability: Instill strong ownership, accountability, and a builder mindset within the engineering organization, empowering teams to execute with velocity and autonomy.

Solve Complex Challenges: Troubleshoot and resolve complex technical and organizational challenges to ensure smooth operations and delivery.

Collaborate Cross-Functionally: Collaborate closely with Product and other cross-functional teams to translate business requirements into robust technical solutions and align engineering efforts with company objectives.

Optimize Processes: Optimize engineering processes, methodologies, and tools to support rapid growth and evolving business needs.

Reduce Leadership Load: Strategically contribute to reducing the technical and operational load on current leadership, taking on key initiatives and areas of ownership.

We're looking for a Senior Director of Engineering to help scale how we build and own the core of our company's business. This role sits at the center of our R&D organization, partnering closely with senior product and tech leadership to raise the bar on engineering culture, team structure, and platform ambition.
We believe two things matter for every leadership role at our company: leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead multiple engineering domains, owning the structure, standards, and performance of teams that build our company's core product
Drive strategic initiatives that increase engineering leverage, so we can do more with smaller, sharper teams
Partner with senior product and tech leaders to shape how we build, not just what we build
Architect next-generation platforms that support our evolving product vision and scale with the business
Attract, develop, and retain high-performing engineers, holding a high bar at every stage of the hiring and growth process
Turn complex business problems into technical solutions that are clean, scalable, and built to last
Embed AI into how we develop and ship, using it to accelerate delivery and raise the quality ceiling.

This is a 100% hands-on role combining critical core coding, architectural leadership, intensive mentorship, and driving an AI-First mindset across the engineering culture. Your goal goes beyond shipping features - it is about building and cultivating a sharp, autonomous, and high-performing engineering team.
What You'll Do
Architecture & Code (Hands-on): Lead end-to-end architecture (Backend & Frontend), take ownership of the stack, databases, and repositories, and write complex core system components.
Product-to-Tech Translation: Deconstruct complex product requirements into clear, precise, and actionable technical breakdowns for developers.
Mentorship & Engineering Excellence: Empower and develop team members, conduct rigorous code reviews, run engineering post-mortems (lessons learned), and build a culture of continuous knowledge sharing.
Agile & Delivery: Drive technical task decomposition, set realistic estimations, and execute stable, predictable sprint deliveries.

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.

We are seeking a strategic and visionary Group Manager to lead the operetion group for a key product under our companys security platforms.
In this role, you will get the opportunity to manage deliveries and products to strategic customers and escort challanging technology projects from design stage to large scale deployment.
Key Responsibilities
Strategic Leadership
Manage the delivery process from design, through development, Early Availability to rollout in production
Define and drive the quality vision, strategy, and roadmap for the products including Automation, Quality Assurance and Customers' focus team, aligning with engineering and business goals.
Organizational Management
Manage a group of 20 people, focusing on talent growth, performance, and collaboration across teams.
Lead and mentor an engineering group consisting of 3-4 specialized teams
Cross-Organizational Impact
Leadership, Collaboration, and Project Management
Proven ability to lead and manage cross-functional teams, fostering collaboration across engineering, product, security, and support functions.
Ability to influence and align stakeholders across teams and drive consensus on technical and strategic decisions.

Every millisecond and every bit per second matter when you're defending the world's largest networks. We're looking for a passionate Performance Engineering Manager to lead our performance lab - an effort that spans both development and testing. This isn't only about finding where the product breaks. It's about making our products faster, leveraging and improving our AI infrastructure, and making both our products and our testing dramatically more efficient and robust.
You'll lead a team of QA and R&D engineers who design and build the tests, run them, dig into the numbers and the product, and turn what they find into concrete optimization work with development. If you love pushing the limits as much as you love finding the bug that's costing you those limits, this is your role.
Key Responsibilities
Lead and grow a team of QA and R&D engineers covering both performance development and performance testing
Set the technical direction for performance testing methodology, standards, and best practices across the lab, spanning both hardware and software projects
Leverage our existing AI infrastructure to make the lab more efficient - faster test cycles, faster analysis, faster answers, and ultimately faster, more optimized products
Go beyond identifying regressions: analyze results and actively propose performance optimizations to development teams
Increase visibility into performance results across R&D and product leadership, with clear, accessible reporting and dashboards
Own the performance strategy for our product lines, from planning and development through execution and reporting
Push traffic generator platforms to their limits to simulate real-world network and application traffic at scale
Partner with R&D, product management, and architecture teams to define what "great performance" means for our customers
Chase down performance bottlenecks at the system, kernel, and network level, and work directly with engineering to fix them
Build and maintain lab infrastructure, tooling, and automation to keep the lab sharp and scalable.