לוח משרות דרושים מהנדסים בתל אביב יפו, לחיפוש זה נמצאו 1,157 משרות

We are looking for a Senior Data Science Researcher to join Honeycomb's AI team, the team behind underwriting decisions, quote-time risk scoring, and portfolio analytics.

In this role, you will own entire research directions: framing the problem, deciding what's worth measuring, designing the approach from first principles, and turning
the result into production signal. The work is production-oriented applied research on hard, real-world datasets where standard recipes don't apply and the right method
often has to be invented for the problem.

What You'll Do

- Own open-ended research directions end-to-end - from a vague business question to a deployed, validated signal.
- Work across the team's core research areas - risk modeling, environmental and catastrophe modeling, and behavioral modeling - translating complex real-world processes
into reliable predictive signal.
- Deeply investigate existing production models - understand what they actually learn, where they break, and where the headroom is; identify and ship optimizations
grounded in that understanding.
- Design approaches from first principles when off-the-shelf methods don't fit the data.
- Build rigorous evaluations and own the result in production, not just the notebook.
- Document research clearly so findings are reproducible, auditable, and compound over time.

We are seeking a AI Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do:
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

We are looking for a Forward Deployed Egngineer with a strong performance marketing background to lead the deployment and success of our solution for a small number of enterprise customers.
You will own the full post-sale lifecycle, from implementation through ongoing optimization, working directly with growth, data, and engineering teams at some of the world's leading consumer apps. Your focus is on signal quality, experiment design, and driving measurable impact on paid acquisition performance.
This is a high-ownership role for someone who thinks in terms of ROAS, CPA, and bidding strategy, and can also get deep into data and systems to make it happen. You will be the primary point of contact for your accounts, lead engagements end-to-end, and translate performance data into clear decisions.
Success means turning your customers' best predictive signals into compounding growth on Google and Meta.
Responsibilities:
Performance and experimentation:
Design and structure pilots across Google Ads and Meta, including campaign selection, budget approach, bidding strategy, and success criteria
Evaluate experiment results and iterate based on performance signals
Help customers understand performance drivers, attribution, and how to scale what works
Monitor model and signal performance; identify issues early and intervene
Implementation and signal quality:
Lead end-to-end implementation across a small portfolio of enterprise customers
Adapt solution design and data strategy to each customer's ad tech stack and measurement setup
Ensure strong match rates, data accuracy, and signal reliability across conversion APIs and MMPs
Troubleshoot integration and data issues in collaboration with internal teams
Customer partnership and execution:
Own day-to-day execution across multiple engagements
Lead ongoing customer communication with both technical and senior growth stakeholders
Coordinate across product, engineering, and go-to-market teams
Build long-term trust through reliability and strong outcomes.

Were looking for a talented AI-native Software Engineer to join our innovative R&D team!
We help our customers acquire better users and spend less doing it - and our core team owns the engine behind it. We turn raw customer data into ad-network conversions, end-to-end: through large-scale ML and data pipelines, event-driven delivery services on AWS, and the UI that ties it together. There's no narrow lane here - you own problems wherever they live in the stack.
We're an AI-native team: we treat AI and agentic tooling as a first-class part of how we build, and it's how a small team credibly owns this much surface area. We're looking for a high-ownership generalist who works this way (or is hungry to), and who thrives in a correctness-critical domain where a bug means real customer ad-spend going the wrong way.
Responsibilities:
Turn raw customer data into ad-network conversions end to end, building across the whole stack: ML and data pipelines, delivery services, and the customer-facing UI.
Take features from idea to production largely on your own, designing, shipping, monitoring, and iterating, using AI and agentic tooling as a force multiplier, and owning your systems in production where mistakes translate directly into customer spend.
Collaborate closely with the team lead, product, and data scientists to take models and ideas from prototype to reliable, scaled-up production.

We are seeking a Project Lead - Design & Construction to join our development team and lead the planning, design, and delivery of workplace projects across our portfolio.
This role combines architectural planning, project management, budgeting, client-facing collaboration, construction execution, and site supervision. You will be responsible for Leading projects of varying scales end-to-end, from initial programming and concept development through planning, budgeting, execution, and delivery.
Working closely with Sales, Operations, Community, and Finance teams, and external partners, you will play a key role in shaping exceptional workplace environments for both existing and prospective members. The ideal candidate is highly organized, proactive, and capable of managing multiple projects simultaneously in a fast-paced and dynamic environment.

In this role, your responsibilities will Include, but wont be limited to:
- End-to-End Project Ownership:

Lead design and construction projects from concept through completion, ensuring delivery on time, within budget, and in alignment with our standards.

- Design Planning & Space Programming:

Develop project programs, layouts, and architectural planning packages for new locations, renovations, and custom workplace solutions. Translate project requirements into clear design deliverables while balancing member needs, operational requirements, and business objectives.

- Client-Facing Custom Solutions:

Partner with Sales teams and clients to develop tailored workplace solutions for enterprise and large-scale clients, translating business needs into high-quality design and construction outcomes.

- Budgeting, Cost Control & Procurement:

Prepare budgets, cost estimates, and construction pricing analyses. Track project spending, manage financial performance, and coordinate procurement processes.

- Cross-Functional Collaboration:

Collaborate closely with Sales, Operations, Community, Finance, consultants, contractors, and vendors to align project objectives and ensure smooth project delivery.

- Portfolio & Multi-Project Management:

Manage multiple projects of varying scales simultaneously, balancing priorities, mitigating risks, and maintaining clear communication and accurate project documentation throughout the project lifecycle.

Were looking for a top-notch Detection Software Engineer to join our Threat Research team and further develop the company Runtime Sensor. In this role, you will work on a world-class runtime security solution affecting some of the largest cloud workloads, collaborating closely with engineering and research to enable new and better threat detection capabilities.
Check out some of our recent research:
PostgreSQL Cryptomining
SeleniumGreed Cryptomining Exploit Attack Flow & Remediation Steps
PyLoose: First Python-based Fileless Attack on Cloud Workloads
Responsibilities
Work on a world-class runtime security solution affecting some of the largest cloud workloads.
Work closely with engineering and research to enable new and better threat detection capabilities.
Build and extend our research infrastructure, automated testing infra and release processes.
Conduct research and develop new detection capabilities, from concept to implementation.
Constantly shift things from an art to a science - make the hard things easy, fast and scalable.
Quickly address gaps and changes when needed. Bias towards action.
Analyze, debug and solve problems in test, staging and production environments.
Create and enforce best practices and security policies.
Work with customers in response to requests and questions when needed.

Were looking for a DevOps Engineer to join the R&D team and spread the power of our company. In this role, you will design and implement scalable systems that will keep our company running smoothly and support our significant business growth. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
Responsibilities
Take an active part of all DevOps areas: our companys infrastructure and cloud environment, tools, services and up-time.
Be part of our products architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product.
Plan and push forward the growth and scale of data capacity for various products.
Be responsible for the smooth production-grade execution of provided solutions.

We're looking for a Fontend Engineer to join our R&D team and spread the power of our company. we are widely recognized for bringing a consumer-grade user experience to the complex world of enterprise security.
You will be responsible for developing the company Portal, the unified platform used by security, DevOps, and engineering teams worldwide.
Your mission will be to turn massive-scale cloud data into intuitive, high-performance visualizations and actionable insights.
Responsibilities
Build with a modern stack: TypeScript, React, GraphQL, Apollo, Tailwind, and more.
Focus on deep frontend expertise: We don't believe in generic "full-stack." You will be the frontend authority, collaborating with backend developers who own the microservices while you own the UI and the API schema definition.
Own the full lifecycle: Drive features from design and architecture through to development, testing, and production monitoring.
Solve complex UI challenges: Build interactive data visualizations and high-performance dashboards that handle large-scale datasets.
Drive technical excellence: Lead code reviews, mentor peers, and make architectural decisions that improve our scalability and developer velocity.

Were looking for a Partner Solutions Engineer to join us and spread the power of our company. In this role, you will be part of the sales team responsible for supporting our Global Channel Resellers/Partners. You will work closely with partner account teams and our strategic partners to develop and execute joint technical strategies and solutions.
Responsibilities
Partner with sales teams and channel partners to deliver and scale technical solutions that drive customer success and business growth.
Deliver world-class demonstrations, technical training, and presentations to our partners, including whiteboard sessions, product demonstrations, workshops, and proof of value engagements.
Invest time in learning new product features, industry-related developments, and broadening your overall technical skill set.
Represent our company in technical forums, such as trade shows, technical meetups, and industry events.
Help our customers and prospective customers plan in depth test plans for showing the value of the company platform in their environment.

We're looking for a Security Engineer - our company Product to spread the power of our company. The ideal candidate will have experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. Youll get to collaborate with our software development and DevOps teams to secure our companys products, CI/CD infrastructure, and production infrastructure. Youll also have the opportunity to influence our product roadmap by utilizing our company-for-our company to assess, monitor, and harden our environments.
Responsibilities
Lead threat modeling and security design reviews with R&D and Product teams - identifying and mitigating architecture risks early in the development lifecycle.
Drive vulnerability management and remediation - actively writing IaC (Terraform), submitting code PRs, and developing security automations (Python/Go) to resolve risks.
Extend cloud detection and response capabilities - authoring detection rules, monitoring cloud environments, and investigating live security incidents across our production infrastructure
Act as "Customer Zero" by leveraging our company to protect our company- dogfooding new product features in our massive multi-cloud environment and directly shaping the product roadmap.
Partner with our DevOps and our company Federal teams - hardening CI/CD pipelines, container/Kubernetes infrastructure, and extending security controls to FedRAMP environments.
Enable engineering teams to deliver secure-by-design cloud and AI solutions without slowing down development velocity.

What you'll do
In this role, youll write low-level code that hooks deep into runtimes and OS internals (via eBPF) to capture runtime data with near-zero overhead. Basically, youre creating the eyes and ears inside applications, so we can detect intrusions as they happen.
Youll be pushing the envelope of what eBPF and kernel tech can do: tracing syscalls, monitoring network flows, and intercepting anything attackers might exploit. Your work will help determine exploitability and flag compromises instantly - even for zero-day attacks that nobody has seen before.
This is a high-impact, experimental role: part engineer, part hacker - optimizing for performance and reliability while youre bending the rules of the OS. If you love digging into assembly, performance tuning, and building tools that peer into the guts of running software, come join us. Youll have the freedom to innovate at the lowest levels of the stack (and we promise, no boring corporate kernel modules here - only the fun stuff!).

we are looking for a Senior Backend Engineer with a strong passion for AI and intelligent systems to join our growing R&D team.
In this role, youll be building the backend foundation that powers our AI-enhanced security analytics, autonomous detection, and real-time decisioning systems. Youll work closely with AI engineers, product, and security experts to bring agentic intelligence into our companys runtime platform - transforming how modern apps defend themselves.
Youll architect and implement services that scale to massive volumes of runtime data, integrate large language models (LLMs), and support RAG-based workflows for contextual understanding and response.
Youll Be Great For This Role If You Love To:
Design and build scalable, resilient backend services that power our companys AI-driven runtime security platform.
Integrate LLMs and agentic AI components into production environments to enable autonomous detection and remediation capabilities.
Design evaluation frameworks for measuring model performance and reliability in real-world conditions.
Develop Retrieval-Augmented Generation (RAG) pipelines tailored to application security data.
Own backend architecture decisions - from data modeling to performance optimization - across Node.js, Python, and cloud-native environments.
Contribute to our infrastructure, leveraging CI/CD, Kubernetes, Docker, and modern observability practices.
Mentor peers and help shape our companys AI engineering culture.

our company already runs agents in production. Our WAF Copilot takes a freshly disclosed CVE and turns it into a validated, provider-specific WAF rule - a state-driven agent graph that researches the vulnerability, maps the attack surface, composes the rule, then attacks its own output with an independent bypass judge and a false-positive prober before a human is ever offered a deploy. When a weakness survives, the system downgrades its own recommendation and records what it could not prove.
That last part is the thesis of this role.
An agent that touches production security must prove it works and declare what it couldn't prove. The security industry is about to be flooded with agentic claims nobody can verify. We intend to be the company that made verification legible - and that starts with holding our own agents to a standard we're willing to publish.
We're looking for an AI Tech Lead to own that standard across three surfaces:
The platform - Today each agent flow is close to a bespoke implementation. You'll turn our hard-won patterns into shared components, conventions, and infrastructure so the next agent is a week of work rather than a quarter - with evaluation, observability, and cost control built in rather than bolted on.
Enablement - our company's advantage compounds only if the whole company is AI-fluent, not just R&D. You'll raise that fluency everywhere - engineering, research, product, GTM - through tooling, patterns, and teaching.
The voice - You'll publish the methodology: how we benchmark agentic security output, how we model residual risk, what we learned failing. This is a category-defining position and we want it argued in public.
This is a hands-on lead role with no direct reports. Your authority comes from the quality of what you build and how clearly you explain it.
What You'll Do
Define and build our company's agent framework - shared components, orchestration patterns, tool interfaces, and conventions that make "how do I build an agent here" a five-minute answer.
Make evaluation a gate, not an afterthought: trajectory testing, golden datasets, offline replay, and per-dimension scoring that runs in CI. Land the release benchmark so promote / hold / rollback is a number, not a vibe.
Own agent observability end to end - the execution graph, tool invocations, intermediate reasoning, latency per step, and quality drift - including the external Temporal-orchestrated flows that are hardest to introspect today.
Own the economics: provider abstraction, model routing by task complexity, small-model substitution where it holds, cost attribution per flow. Thousands of CVEs through a labeling agent is a budget line, not a detail.
Drive latency and determinism in our production agent flows - tighter loops, early stopping, deterministic state machines over prose-in-prompt orchestration.
Raise the company's AI fluency. Build the internal tooling, skills, and playbooks that let every team - not just R&D - work AI-natively, and teach the judgment for when not to.
Partner with security research, product, and engineering leadership so agent capability and product roadmap actually converge.

We are looking for a Senior Full-Stack Engineer to build reliable, high-impact product experiences from browser to backend. You will own meaningful product areas, turn ambiguous customer problems into pragmatic technical solutions, and help set a high bar for quality, speed, and engineering judgment.


What youll do
Design, build, test, deploy, and operate end-to-end product capabilities.
Build polished frontend experiences with React and TypeScript.
Develop scalable backend services and APIs with Node.js and TypeScript.
Partner closely with Product and Design to shape solutions before implementation.
Make sound architecture decisions across application boundaries, APIs, data models, security, performance, and observability.
Use AI-assisted engineering tools thoughtfully to improve development speed and quality, while rigorously validating their output.
Build AI-enabled or agentic product capabilities where they create clear customer value.
Raise the engineering bar through code reviews, pairing, documentation, and mentorship.

You'll own and evolve the infrastructure and reliability of our production platform - a distributed, data-heavy system running on AWS and Kubernetes. You'll work closely with engineering to keep our services fast, reliable, and observable as we scale, while continuously improving our automation, deployment, and operational processes.
This role is a fit for someone responsible and hands-on, who wants to contribute to the team effort, take ownership, and keep learning and expanding their capabilities.
What You'll Do
Design, build, and operate scalable, resilient infrastructure on AWS and Kubernetes.
Own reliability: define SLOs/SLIs, improve observability, and drive down toil through automation.
Manage and tune our core data and workflow systems - ClickHouse, PostgreSQL, Kafka, and Temporal - for performance and reliability at scale.
Build and maintain CI/CD and GitOps workflows using ArgoCD and GitHub.
Manage infrastructure as code with Terraform.
Lead incident response, run postmortems, and drive systemic improvements.
Establish and improve engineering and operational processes suited to a company operating at scale.
Partner with development teams to make the right reliability, cost, and scalability tradeoffs.