לוח משרות דרושים בתל אביב יפו, לחיפוש זה נמצאו 8,170 משרות

we are a fast-growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion-dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team at our company is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven. At our core, we believe every voice has value and can impact our bottom line. We are looking for a Senior Product Manager to join our team and lead our CDP strategy. If you are a creative, solutions-oriented individual who is ready to put your career in drive, our company is the place for you! We are looking for a Hands-On backend team lead to join our team and make a real impact in our R&D department! As a backend team lead, your mission will be to lead a team of software engineers toward the development of exciting new products while staying close to the ground with hands-on coding. You will influence the team's technical direction as well as onboard, mentor, and manage talented developers. You will have the opportunity to contribute to the full development life cycle, including design, architecture, and collaboration with product stakeholders to deliver high-quality, scalable code using agile methodologies. We seek someone extremely technical with leadership experience who loves to solve interesting tech challenges, can see the big picture, and demonstrates a strong sense of ownership paired with excellent communication skills. This position will be based out of our Tel-Aviv or Jerusalem hubs

What you will be responsible for:

* Hands-on development (~80%)
* Management: onboard, mentor and manage a small team in all HR aspects (time off, 1:1, plan and evaluate employee growth, etc.)
* Break down and plan tasks, including high-level design
* Run team sync meetings to identify blockers and communicate cross-team
* Monitor the system 's stability
* Develop high-level estimations for all work items
* Manage the Jira board and inter-team communication
* Push for shipping high-quality products on time
* Own relevant repos, codebase, CI/CD pipeline, and DevOps of the teams infrastructure
* Own tech decisions and initiate decision-making discussions
* Update, upgrade, monitor, and replace 3rd party libs

Why you should join us:

* Family-friendly environment and flexible working hours
* An awesome global team of forward-thinking, innovative go-getters
* Integrate with tech titans: Work directly with APIs from Google, facebook, Microsoft, and more.
* Be part of a rapidly scaling company poised for the future.
* Learning and growth opportunities within a fast-paced tech startup environment
* As a part of our team, your success in this role is crucial to our company's growth. We are committed to supporting you in achieving your KPIs and goals and providing regular feedback to help you reach your full potential. Together, we can make a real impact and achieve great things!
* Wolt+ and lots of yummy treats:-) Are you the one? Send us your resume!

We are looking for a Senior Data Engineer to build and scale the data foundation behind platform and products. You will own complex data end-to-end - from ingestion and transformation through modeling, quality, observability, and production delivery.
This is a hands-on senior IC role for a strong builder who can solve difficult data problems independently, set a high technical bar, and collaborate closely with engineering, DS, and product. You will turn large, fragmented datasets into reliable, reusable capabilities that power every product.
Responsibilities
Build and own scalable data pipelines- Design, implement, and operate robust pipelines for high-volume structured and unstructured data, with validation, monitoring, lineage, and recovery built in.
Scale the platform for growth- A key near-term initiative is re-architecting the system to support a significantly larger customer base. You will own performance and cost-efficiency across pipelines and services, keeping reliability and operating costs under control as the platform scales.
Build across the stack- This is not a pipelines-only role. You will also write backend services and some frontend, including the internal backoffice the team runs on. We hire builders, not narrow specialists.
Own the core data tables- Own schema design and evolution, data contracts, and the modeling standards the team follows - naming, shared dimensions, normalization, documentation. Be accountable when a table is wrong, late, or drifting.
Level up the teams data work- Pair with and advise software engineers and data scientists on Spark, SQL, and modeling, and help turn notebook-grade code into production-grade pipelines.
Partner cross-functionally- Translate product, client, compliance, and business requirements into clear technical designs and dependable production systems.

We are seeking a highly skilled DevOps / Platform Engineer to join our R&D team. In this role, you will be responsible for designing, operating, and scaling our cloud infrastructure while supporting both engineering and machine learning initiatives.

You will own our AWS environment end-to-end - from infrastructure architecture and Kubernetes operations to MLOps enablement, security hardening, and cost optimization. This role goes beyond traditional DevOps and includes responsibilities across IT operations support, multi-account AWS management, DevSecOps practices, DevFinOps ownership, and machine learning infrastructure.

You will play a critical role in ensuring our systems are secure, scalable, observable, and cost-efficient, while enabling fast and reliable software and model delivery.

Responsibilities
Cloud Infrastructure & Platform Ownership

Design, implement, and maintain scalable infrastructure in a multi-account AWS organization
Manage and deploy applications using Helm charts, GitOps workflows using ArgoCD
Support CI/CD pipelines and release processes.
Observability & Reliability

Implement and maintain monitoring and logging solutions.
Define alerts, dashboards, and SLOs to ensure system health and operational excellence.
MLOps Enablement

Support and operate ML infrastructure in AWS
Enable reliable model deployment, monitoring, and lifecycle management.
DevSecOps & Security

Implement security best practices across infrastructure and CI/CD pipelines
Enforce IAM least-privilege policies and secure networking configurations
Integrate security ownership and compliance controls.
DevFinOps & Cost Optimization

Monitor and optimize AWS resource utilization and costs
Implement cost visibility and reporting practices
IT & Operational Support

Support internal IT-related infrastructure tasks
Continuously improve operational processes and automation

This role requires a combination of intelligence, creativity, agility, and strong problem-solving and execution skills to help us identify and attract top talent.

Responsibilities
Lead end-to-end sourcing efforts, identifying high-potential candidates across various channels
Utilize advanced sourcing tools and techniques to proactively build strong talent pipelines
Apply creative, out-of-the-box thinking to identify candidates for challenging roles
Own and optimize the full recruitment lifecycle, from sourcing to offer stage
Develop and implement scalable recruiting processes across multiple functions
Serve as a trusted partner to hiring managers and the CEO, advising on talent strategy and workforce planning
Proactively reach out to passive top talent using diverse sourcing strategies and AI tools

This is a full-time on-site role for an AI Data Analyst, located in the Tel Aviv District, Israel. The AI Data Analyst will be responsible for analyzing data, developing data models, conducting statistical analysis, and communicating findings to relevant stakeholders. Daily tasks will include interpreting complex data sets, generating actionable insights through data analytics, and supporting the development of AI-powered compliance solutions.

Platform and infrastructure (K8s + IaC)
Architect and operate our Kubernetes platform on AWS - scaling, networking, cost, and reliability
Own infrastructure as code (Terraform) so environments are reproducible, auditable, and fast to evolve
Build the foundations that let the team provision and scale services without friction


AI agent platform - managing and scaling agents at volume
Operate and scale the orchestration layer (Temporal) that runs dozens of agents in parallel
Tune the platform for the unusual load profile of agent workloads - bursty, long-running, data-heavy, latency-sensitive
Give engineers the primitives to deploy, version, observe, and roll back agents safely under enterprise SLAs


CI/CD and developer experience
Own build and deploy pipelines end-to-end - fast, safe, boring releases
Invest in DX as a first-class product: the team treats developer experience as leverage, and you set the bar
Reduce the time from merged to in production and from idea to running experiment


Observability and reliability
Build monitoring, alerting, and tracing that make production legible - for services and for agents
Own incident response and the reliability practices that keep enterprise customers SLAs intact
Turn incidents into systemic fixes, not repeated firefighting


Security and compliance
Own secrets management, hardening, and the day-to-day security posture of the platform
Support our compliance commitments (we are Mastercard-certified, operating in fintech - the bar is high)
Build security into the pipeline so it is the default, not a gate

we are looking for a Embedded Software Engineer.
What you'll own:
Design and implement safety-critical flight software in modern C and C++ on a hard-real-time RTOS, from driver level to application logic.
Implement the execution layer for acoustically shaped flight profiles, guaranteeing deterministic timing and jitter budgets that the acoustics team can bank on.
Build and maintain hardware-in-the-loop (HIL) test benches that exercise flight software against simulated vehicle dynamics, sensors, and actuation before anything flies.
Define and document software requirements, architecture, and verification evidence consistent with DO-178C objectives, working toward a certifiable baseline from day one.
Develop board support packages, bus interfaces (CAN, serial, deterministic Ethernet), and health-monitoring logic for flight control and actuation computers.
Profile and optimize worst-case execution time, memory usage, and task scheduling on resource-constrained flight hardware.
Support ground and flight test campaigns: instrument the software, analyze telemetry and timing logs, and close the loop on anomalies within days, not quarters.
Conduct and participate in rigorous code and design reviews, raising the bar for a small team whose code flies the aircraft.

Expose Fraud and Scams: Identify high-risk merchants before they can transact.
Map a Complete Digital Footprint: Deploy agents to collect and connect signals from websites, social media, marketplaces, and hard-to-find sources.
Turn Data Into Decisions: Use LLMs to interpret unstructured information and deliver actionable risk assessments in seconds.
All-in-One Risk Platform: Allow our customers to onboard legitimate businesses faster, block bad actors earlier, and stay compliant.
‍

Tech Stack
Node.js, TypeScript, React, PostgreSQL, AWS, Temporal, Redis, Kubernetes, LLMs, advanced data ingestion pipelines.

What You'll Do
Impact the architecture and design of our scalable services and products.
Collaborate with the CTO to share responsibilities and drive technological innovation.
Tackle high-scale challenges, including projects involving LLM and AI.
Work with our clients directly, providing direct and real-world impact.
Stay abreast of emerging technologies and evaluate their applicability to our products.

Lead end-to-end solution delivery for Agentic Commerce deployments, from scoping through go-live
Work directly with risk and compliance teams at customer organizations to define workflows, configure policies, and validate outputs
Translate merchant risk, chargeback, and dispute management requirements into product configurations and implementation plans
Serve as the domain authority for merchant acquiring risk within the product team, informing roadmap decisions with operational knowledge
Act as the primary point of contact with LLM partners, managing the relationship, aligning on use cases, and coordinating joint development efforts
Manage implementation timelines, customer expectations, and cross-functional dependencies during deployment
Document learnings from implementations to improve onboarding materials, playbooks, and product defaults
‍

we are looking for a Systems Integration Engineer.
What you'll own:
Own requirements flow-down from vehicle-level acoustic, performance, and safety targets to subsystem specifications under an ARP4754A-aligned development process.
Author and control interface definitions across structures, propulsion, avionics, and software - including the vibration, isolation, and acoustic constraints most ICDs never carry.
Build and maintain the vehicle requirements and verification database with full bidirectional traceability from stakeholder need to test evidence, and defend it in audits.
Plan and run integration campaigns on the systems bench and iron bird: power-on sequencing, interface checkout, fault injection, and end-to-end functional verification before anything flies.
Lead ground and flight test campaigns as the vehicle-level V&V owner - define test objectives, success criteria, and instrumentation requirements, then reconcile measured results against requirements line by line.
Chair cross-subsystem integration reviews and arbitrate trades where a decibel saved in one subsystem costs mass, power, or schedule in another.
Conduct safety assessment work - FHA, PSSA, FMEA, and fault trees per ARP4761 - jointly with subsystem leads, and track every derived requirement to closure.
Drive gated design reviews from SRR through test readiness with hard closure metrics: verification status, open interface items, and integration risk burn-down.

We are looking for an AI Engineer to build the systems that drive this: AI agents that investigate vulnerabilities, generate and validate code fixes, and continuously refine their performance. In this role, youll work at the intersection of AI engineering, security automation, and rigorous evaluation to translate cutting-edge models into dependable production tools.

Responsibilities

Build and evolve production AI agent pipelines for CVE research, patch generation, validation, container image remediation, and end-to-end merge requests.

Design the agent capabilities behind those workflows: prompts, tools, model selection, context, guardrails, and integrations.

Build the feedback loops that make our systems better: tracing production runs, creating datasets, defining evals and scorers, and using results to guide iteration.

Analyze real-world performance to answer the questions that matter: Did this change improve patch success, quality, latency, or cost Can we prove it?

Operate what you build in production across Kubernetes, Argo Workflows, AWS, and GitOps.

Partner closely with Product and engineering to focus on the customer problems with the highest security impact-and ship quickly.

We are looking for a Senior Software Engineer (Go) to build and own the systems that drive this.

Responsibilities

Write modular, testable, and efficient code using Golang, JavaScript, PHP, and other languages.

Manage Argo pipelines in K8s and Lambda deployments.

Research complex optimization problems.

Understand the fundamental design principles behind a scalable application.