לוח משרות דרושים הייטק תוכנה ברמת גן, לחיפוש זה נמצאו 221 משרות

We are looking for an ML Infra Engineer to play a central role in evaluating, and deploying our AI models. You will own and evolve our benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.

This is NOT a core algorithmic research role - but rather, a role focused on building out the ML engineering infrastructure for the evaluation and deployment of models.

Location: Ramat Gan, Israel (hybrid model)

What will you do?
Own & Evolve Benchmarking - Design, build, and maintain our benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.

we are looking for a Senior ML Engineer.
Responsibilities:
Work on core data and machine learning infrastructure, which is at the heart of offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.

we are looking for a Customer-Facing Data Scientist.
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

We are looking for a Senior AI Researcher to join our foundation models team and help advance large-scale models for single-cell RNA (scRNA) data.

In this role, you will focus on training and improving transformer-based and deep learning models, developing algorithmic solutions to challenging modeling problems, and adapting modern foundation model techniques to biological data. This is a hands-on research position for someone who enjoys building and training deep models, understanding their behavior, and pushing them to perform better.

You do not need prior biology experience - but you should be excited to apply your deep learning expertise to a new scientific domain.

Location: Ramat Gan, Israel (hybrid model)

What will you do?
Develop, train, and refine transformer-based and related architectures for large-scale scRNA data.
Tackle challenging modeling problems with thoughtful, principled approaches.
Apply ideas from NLP and vision (pretraining, self-supervision, transfer learning) to biological data.
Plan careful experiments, perform ablations, and deeply analyze results to guide model improvements.
Engage directly with large, noisy biological datasets and build intuition for model behavior in this setting.
Partner with engineers, data scientists, and biology experts to turn research ideas into working systems.

We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.

Location: Ramat Gan (Bursa area), Israel - Hybrid model

What will you do?

Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.

We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.
We're looking for top-notch, passionate Software Engineer to be part of our world-class Engineering team. If you think you can handle a wide range of technologies, pushing code to production several times a day, working on a different part of our product code with every new task you get, and using the best practices in the industry? Please contact us!
You will -
Participate in designing and developing our company products in multiple technologies, no code ownership environment
Design and develop modules for a high-end product that serves billions of transactions a day
Deploy your code to production in a continuous manner
Be responsible for the healthiness of your application in production
Work with product managers to define, prioritize and finalize features
Carry out full-stack, end to end development

We are looking for a Technical Support Engineer to join our highly experienced global team.

The Technical Support Engineer role embodies the critical intersection of technical expertise and a focus on customer satisfaction.

This role is tasked with helping customers with giving answers to technical questions, solution architecture, and ensuring successful adoption of the Platform.



What Youll Do

Serve as our customers single point of contact for any tech-related matters
End-to-end ownership of customer support cases from opening until closure, ensuring customer satisfaction
Establish relationships and engage with technical counterparts to drive product adoption and expansion
Train and coach customers to a successful onboarding process and ongoing usage
Advocate internally for customer needs - be the technical voice of the customer within Coralogix
Contribute to our knowledge base by creating documentation, video tutorials, and predefined answers to common issues
Prioritize and manage several open issues at one time
Properly escalate unresolved issues to the appropriate internal teams

Were looking for engineers who love Rust to join our team and develop modern, cloud-native production systems that process terabytes of data daily. In this role, you will design and develop our backend services using Rust along with other exciting technologies, all deployed in AWS on Kubernetes.



*This opportunity is available in a hybrid model from our TLV site or remotely within the EU time zone

Were looking for a Director of AI Engineering to join our organization and lead multiple engineering teams building the next generation of AI-powered products at Coralogix.

This is a hands-on engineering leadership role for someone who is a builder at heart, an experienced software engineering lead who loves to code, understands the full product and technical lifecycle, and knows how to scale both people and technology.

Youll work closely with the VP of AI and leaders across Product, Engineering, and other functions to turn ambitious ideas into high-quality products, while building and mentoring strong engineering teams.



What Youll Do

Lead and manage multiple engineering teams, including managing and mentoring Team Leads.
Set the technical direction and execution standards across the teams.
Stay close to the technology and remain hands-on when needed- this is not a purely managerial role.
Drive the full engineering lifecycle, from architecture and design through development, deployment, and production.
Build and scale SaaS products in a fast-moving environment.
Partner closely with Product and other departments to translate business needs into technical execution.
Make pragmatic tradeoffs between long-term architecture and short-term delivery.
Encourage a culture of ownership, speed, experimentation, and continuous improvement.
Motivate engineers by connecting their work to the broader product and business goals.
Collaborate closely with managers and stakeholders across the organization.
Resolve conflicts effectively and build strong, collaborative relationships across teams.
Help identify technical risks and long-term implications while maintaining a strong focus on delivering results now.

We are seeking a Jira-oriented Program Manager to lead high-impact, cross-functional initiatives across Product, Engineering, and Operations. This role is ideal for someone who thrives on bringing structure to complexity- documenting processes, facilitating collaboration, and creating clear visibility through dashboards and reports.

As a Program Manager, you will own the end-to-end lifecycle of strategic programs, orchestrate multi-team execution, and continuously introduce creative tracking and monitoring methods to ensure transparency, efficiency, and measurable impact.

Key Responsibilities

Program Coordination & Delivery: Plan, track, and drive cross-functional initiatives across R&D, CS, and Product - from scoping through execution and retrospective - ensuring programs land on time, within scope, and with measurable outcomes, without direct authority over the teams delivering them.
Strategic Context & Impact Awareness: Understand company priorities and translate them into program-level implications - identifying high-impact initiatives, where risks concentrate, and how team-level decisions ripple upward. Bring that context into every sync, update, and escalation.
Stakeholder Alignment & Communication: Act as the connective tissue between Product, R&D, CS, and business stakeholders. Surface blockers early, translate between technical and business contexts, and keep stakeholders moving through clear, data-backed updates.
Data-Driven Visibility: Build and maintain dashboards and reports that give teams and leadership real-time clarity on delivery health - throughput, SLA adherence, scope changes, and priority trends. Turn Jira and operational data into decisions.
Process Design & Scalability: Define and document operational processes that scale across a fast-growing R&D org. Identify friction in how teams plan, execute, and report - and drive improvements with clear ownership and adoption paths.
Workflow Automation & Tooling: Contribute to Jira automation rules, JSM workflows, and AI-powered tooling for intake, triage, and operational queries. Spot repetitive manual work and help eliminate it.
Facilitation & Dependency Management: Lead sprint reviews, retrospectives, planning sessions, and cross-functional syncs. Map dependencies, flag risks before they become blockers, and own the coordination even when you don't own the outcome.
Risk & Issue Management: Maintain a continuous view of program risk across Jira, Slack, and cross-team input. Develop mitigation plans, escalate when needed, and track to closure.
Performance Reporting: Contribute to cross-team performance reporting - surfacing completion rates, carryover trends, scope churn, and priority throughput in formats leadership can act on.

we are seeking a Site Reliability Engineer to join our team and help build the next generation of our stream-based observability platform. We deliver real-time data analytics at scale to some of the worlds leading tech companies
Responsibilities

Act as a hands-on technical leader with deep expertise in modern cloud infrastructure.
Serve as a go-to person in the team - leading through influence, not hierarchy.
Collaborate cross-functionally to refine requirements and propose innovative, scalable solutions.
Drive long-term, high-impact infrastructure projects across multiple teams, from design to implementation, within defined timelines.
Contribute to improving system reliability, performance, and cost-efficiency at scale.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If you're passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.



Responsibilities:

End-to-end development and ownership of products and features, from design to scalable and predictable production behavior

Solve diverse and complex problems in a high-scale, cloud-native environment

Collaborate with other engineers and product managers to improve product functionality, scalability, and performance

Design, develop, and maintain robust, secure, and efficient software solutions

Ensure high system reliability by implementing best practices in monitoring, observability, and automation

Review code, architecture, and data to identify and troubleshoot technical and performance issues

Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

We are looking for a hands-on, builder-minded AI Senior Product Manager to lead a high-stakes, 0-to-1 initiative.

This is a rare opportunity to operate with the agility and autonomy of a startup founder while leveraging the massive datasets, engineering resources, and established market presence of an industry leader.

This role sits squarely at the intersection of Cybersecurity and AI. You will be responsible for building a net-new product from the ground up - translating raw technical concepts into production-grade reality. We are looking for an entrepreneurial builder who thrives in ambiguity and is obsessed with rapid iteration and technical depth.

This is not a role for a traditional "project manager." You must be a hands-on owner who brings strong, opinionated perspectives formed by real-world technical experience. You will own product initiatives from deep problem discovery through engineering execution, validating and shipping products that security practitioners rely on every day.

What You'll Do

Drive 0-to-1 Cybersecurity & AI Products End-to-End
Operate with a founder's mentality: own the product lifecycle from initial discovery and definition to UX design, technical execution, customer validation, and production release.
Frame ambiguous market opportunities into simple, well-scoped milestones, specs, and rapid execution plans.
Act as a hands-on builder-owning the outcome end-to-end rather than just managing processes or tickets.
Build Practical, Production-Grade Capabilities for Security
Identify key leverage points in security workflows (e.g., threat hunting, incident response) where AI can unlock step-function improvements.
Harness and build on top of existing AI agentic frameworks to solve complex cybersecurity challenges - translating model strengths and limitations into practical UX decisions.
Go beyond theoretical AI buzzwords to ship reliable, predictable, and value-driving security features in production.
Partner Deeply with Engineering & Security Experts
Work daily with Tech Leads, AI Engineers, Security Analysts, and Designers in a highly collaborative, fast-paced environment.
Get comfortable looking at raw logs, trace data, system architectures, and security vulnerabilities alongside engineers to deeply understand root causes and technical tradeoffs.
Challenge unnecessary technical complexity and continuously push for the simplest, most elegant solution.
Own UX & Product Quality for Technical Users
Maintain an exceptionally high bar for product quality, clarity, and system reliability.
Abstract dense technical data, security alerts, and complex AI outputs into intuitive, actionable user workflows.
Treat launch day as the start of continuous learning - actively monitoring usage metrics, validating edge cases, and rapidly iterating based on live system feedback.
Stay Connected to Technical Customers
Engage directly with security practitioners, DevOps, and SREs to uncover genuine friction points in their daily operations.
Translate raw customer feedback into prioritized product roadmaps grounded in real operational impact.

We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience. Our architects are trusted advisors and consult our customers upon their monitoring, security & observability journey.

Solution Architect is a senior-level role expected to professionally and accurately present technical presentations across different personas, from software engineers and DevOps all the way to the C-suite.

What youll do:

Collaborate with account executives to strategize, prepare, and execute on complex, technical sales cycles.
Deliver compelling presentations and product demonstrations that highlight our unique value proposition and the solutions we provide.
Oversee the technical aspects of the sales process, including sizing, discovering and Proof of Concepts.
⁠Develop custom solutions to bridge any gaps and enhance the core offerings of our product.
⁠Possess a thorough understanding of the Observability market, advising customers on best practices and the most appropriate solutions for their needs.

The company story is likely one you havent heard before. Founded in 2015, were a bootstrapped product-led company that has grown to over 130,000 customers, 500 million users per month & millions of annual revenue.
We're looking for a Customer Support Engineer who has a passion for helping customers to join our support team and get the most out of our product.

In this role, youll be the point of contact for our customers, responsible for solving problems and ensuring they have the best experience with our product and our team.

We're looking for someone energetic, tech-savvy, who has high-level English and superb interpersonal skills.

** The position is full-time and requires the availability to work up to two evenings a week and 2 weekend shifts per month (Friday morning / Saturday Night).**
As a Customer Support Engineer at our company, you will:
Be in charge of our customer happiness and deliver amazing service.
Become a product expert who knows the ins and outs of what our company has to offer by helping our customers maximize the value they receive from us.
Proactively identify opportunities and optimization points to help our customers grow.
Represent the customer voice internally in Product, Marketing, and Business Development discussions.