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We are seeking an experienced Project Manager to lead complex, software-based and multidisciplinary projects in the defense sector. The role involves managing projects throughout their entire lifecycle—from initiation and planning through execution, delivery, and closure—while ensuring the achievement of business, technical, financial, schedule, and customer objectives. The ideal candidate has a proven track record of managing technology and product development projects within software-intensive companies, defense organizations, or other multidisciplinary engineering environments.

Responsibilities:

* Manage multiple high-budget security projects simultaneously, ensuring they meet scope, timeline, and budget requirements.
* Oversee projects at different life cycle stages, from initiation to closure.
* Coordinate and collaborate with internal and external stakeholders, including customers, suppliers, and cross-functional teams.
* Ensure all aspects of project management are addressed, including business, administrative, financial, and technical requirements.
* Negotiate with stakeholders to resolve conflicts and achieve project goals.
* Monitor and report on project progress, risks, and issues to senior management.
* Maintain excellent human relations and ensure high levels of service orientation and productivity.
* Foster a creative and solution-oriented environment to address project challenges.
* Travel within Israel to meet with customers and suppliers.

abra professional services is seeking an Information Systems Implementer with experience in the insurance industry to join a role that combines strong insurance domain knowledge with a technological and system-oriented approach. In this role, you will be responsible for system implementation, requirements analysis, business specifications, and ongoing collaboration with both business and technology teams. This is a full-time position, located in central Israel. Key Responsibilities: • Write functional specifications for business rules and processes. • Maintain system tables and handle ongoing change requests. • Work closely with business stakeholders to gather requirements, understand business needs, and translate them into system solutions. • Analyze system issues, troubleshoot problems, and provide effective solutions. • Identify opportunities to optimize and improve existing business and system processes. • Implement and maintain system tables related to operational and production processes. • Lead tasks and projects from the requirements and specification stages through system implementation. • Work as part of a large implementation team while independently managing and taking ownership of assigned tasks.

Were looking for a hands-on AI Solutions Manager who combines deep practical knowledge of generative AI tools with strong business understanding. This role sits at the intersection of technology and impact - identifying real organizational needs and translating them into scalable, AI-driven solutions.

This role is perfect for someone who lives and breathes AI technology, stays ahead of the rapidly evolving landscape, and knows how to turn cutting-edge capabilities into real-world solutions.

What Youll Do

Collaborate with cross-functional teams to identify opportunities where AI can solve complex business and internal problems
Evaluate and select the right AI tools and models (Claude, Gemini, OpenAI, etc.) based on use case, limitations, cost, performance, and scalability
Design and implement AI-powered solutions and internal automations using LLM APIs and workflow platforms (e.g., N8N, Workato)
Build and optimize prompts, RAG pipelines, and AI agents while understanding model limitations and trade-offs
Architect scalable AI workflows and integrations across systems (e.g., Salesforce, Jira, Confluence, , etc.)
Lead hands-on projects from ideation to rollout, iterating rapidly to deliver value
Stay up to date with emerging AI capabilities and continuously evaluate new tools and frameworks
Educate and guide the organization how to adopt and use wisely AI tools and models

Responsibilities
Reach out to a high volume of outbound leads and follow up on inbound leads from multiple sources Work against new business goals on a weekly, monthly, quarterly, and annual basis Partner closely with Marketing and Account Executives to nurture leads from first contact through to valid opportunities Collaborate across Sales, Marketing, and Product to share critical customer feedback Regularly monitor leading indicators of success and report on pipeline health Drive systems, AI tools, and process improvements that grow the new business pipeline Help build and refine a scalable training and development curriculum for the SDR team Establish and maintain effective 1:1s, weekly meetings, and outreach cadences
About US
The pipeline acceleration company - empowers developers to radically accelerate their work by shortening build times, supporting agentic AI development needs, and enabling more iterations and faster product releases. Hundreds of customers, including world-leading brands, trust our platform to streamline and accelerate everything from compilation to release automation, saving significant resources and accelerating time-to-market. Weve helped over 200,000 developers at tech giants like Microsoft, Samsung, Nintendo, and Amazon build some of the most successful software across industries such as gaming, financial services, Embedded software, automotive, and more. In recent years, we have been in hyper-growth, expanding globally while adapting our solutions and operations to the changing market landscape to keep growing our market share. This is your opportunity to join a category leader and make a difference.
The Position
We are looking for an experienced and talented SDR professional to join our fast-growing sales organization! In this role, youll help establish our Sales Development function, reaching out to a high volume of outbound leads and following up on inbound leads generated from multiple sources. Youll work closely with the Marketing and Account Executive teams to nurture leads from initial contact through to valid opportunities and closed-won deals, and youll be measured against new business goals on a weekly, monthly, quarterly, and annual basis. Were looking for someone who can bring structure to 1:1s, weekly meetings, and overall cadences, and whos comfortable refining processes and implementing new systems. You should be passionate about working in a team environment and bring the accountability needed to grow our business funnel significantly.

At Infinidat, a Lenovo company, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. The company’s software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing storage technologies. We are seeking a highly skilled and ambitious Python Developer to join our Infrastructure Development Team. As a Python Developer, you will play a crucial role in architecting, developing, and maintaining the core infrastructure that powers our innovative solutions. You will build applications, API backends, libraries and infrastructures which will be used by many other teams within Infinidat. These applications can range from small to large scale applications. The majority of development is in Python but some of it is in Rust and other languages.

Responsibilities:

* Design, develop, and maintain robust and scalable infrastructure solutions using Python, ensuring high performance, reliability, and security.
* Full ownership over design and implementation of our web applications, API backends or libraries.
* Be in charge of constantly improving our infrastructure.
* Experiment with new technologies, find cool new ways of doing things.

The trivago innovation center is looking for a passionate and seasoned Senior Data Analyst to join our DATA team. In this role, you will take the analytical lead on our disruptive B2C product and play a key role in driving customer acquisition, marketing performance, and strategic business growth. The ideal candidate possesses strong analytical and commercial thinking, a deep understanding of large-scale data environments, and the ability to translate complex datasets into actionable business insights. You will partner closely with Data Science, Product, Marketing, and Business stakeholders to influence decision-making, optimize performance, and support scalable growth initiatives.

About the role:
How you’ll make an impact: Customer & Growth Analytics: Analyze customer acquisition funnels, campaign performance, and behavioral trends to identify growth opportunities and improve business performance. Strategic Decision Making: Partner with cross-functional stakeholders to provide actionable recommendations and support scalable, data-driven decision-making processes across the organization. Performance Optimization: Lead deep-dive analyses and A/B testing initiatives to optimize bidding strategies, channel efficiency, and marketing investments. Data Visualization & Reporting: Build and maintain dashboards, reports, and visualizations that deliver clear and impactful business insights to technical and non-technical stakeholders. Data Infrastructure Collaboration: Work closely with Data Science and Analytics teams on data modeling, tracking methodologies, and scalable analytics solutions. Business Impact: Translate complex analytical findings into measurable business outcomes while supporting the company’s performance and revenue goals.

About the Company:
About trivago Innovation Center (formerly Holisto) We’re part of trivago N.V. , a global B2C travel-tech company headquartered in D?sseldorf, Germany. At trivago Innovation Center, we harness the power of award-winning AI and machine learning technologies to make hotel bookings smarter, more affordable, and perfectly tailored to each traveler. Fueled by our passion for travel and technology, we’ve spent years researching, developing, and refining solutions that help millions of users save money every single time they book.

The Embedded control teams develop SW products that create the basic building blocks of the SolarEdge system and deal with various fields - power conversion algorithmic, communication algorithmic, optimizations, rt problems on different platforms - DSPs, Companys ASIC and digital controlled power converters for photo-voltaic power systems. Our technological challenges are taking part in the following fields: power electronics, digital close loop control and Digital Signal Processing algorithms implemented on companys microprocessors. By joining us, youll have the chance to develop unique products from concept level to mass production, while working with advanced simulation and developing tools.
What you will be doing:
* Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP and communication over different platforms.
* Developing on various micro-controllers and dealing with various rt constraints.
* Ownership of a project/product from end to end- from concept and simulation, through development and integration and field deployment.
* Building complex simulations integrating SW and HW.


Country:
Israel

City:
Herzliya

If youre looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what youve been looking for.

What Youll Do
This is a highly autonomous role. You'll work independently, taking full ownership of complex, end-to-end initiatives from initial scoping all the way to production. You'll build and evolve the backend services that power Honeycomb's data platform, enabling reliable, scalable, and efficient data processing across the organization.

Take ownership of complex services and features, working independently to deliver high-quality solutions and use AI coding tools (Claude Code, Copilot, etc.) as a natural accelerant in your daily workflow
Play a key role in refactoring systems to build more robust, scalable, and streamlined services, including deep infrastructure work and modern service architecture leveraging AI-assisted analysis and code generation where it adds real value
Design and build core micro-services, laying the foundation for our product and internal platforms
Collaborate with product managers, architects, and other developers to understand requirements and translate them into technical specifications
Stay current with the rapidly evolving AI tooling landscape proactively evaluating new models, prompting strategies, and AI-assisted workflows that can meaningfully improve how the team builds

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.

Required Director, Engineering
Welcome to a highly disruptive, high-velocity "startup within a startup" rewriting the rules of corporate travel. Edge is an AI-powered personal assistant and concierge service built exclusively for the frequent business traveler. We are fusing always-on conversational AI, capable of learning preferences, executing complex bookings, and stacking high-value rewards like hotel loyalty and credit card multipliers, with a seamless handoff to a 24/7 VIP human concierge. We are looking for a visionary, execution-obsessed Director of Engineering to take the helm. This is your opportunity to lead the end-to-end engineering of a bleeding-edge, user-facing AI product on a global scale.
What Youll Do:
Lead the Trajectory from Ground Zero to Global Scale: You will start with a lean, highly focused scope to deeply internalize our business, product, and operational DNA. From there, your growth is driven by your impact. As you prove your success, you will have the potential to scale your scope across a multi-disciplinary organization-with opportunities to also lead data science, model training, mobile, and data domains, while developing a top-tier team of EMs to help you lead your organization.
Own Your Domain End-to-End: You will have absolute E2E ownership over your specific product area and technical domains within. You will be directly accountable for driving critical business metrics like booking volume, conversion rates, and system latency, while maintaining a strategic eye on optimizing our AI inference costs.
Provide Hands-On AI Technical Leadership: Guide the architectural vision and execution of our modern AI stack. You will drive the implementation of LangChain, Nest.js, Vector DBs, and advanced RAG architectures, leveraging open-source LLMs and fine-tuning models to deliver an unmatched user experience.
Drive Cross-Functional Execution: Act as the technical engine collaborating seamlessly across Product, Marketing, and Operations. You will partner with and present to senior executives, ensuring technical roadmaps aggressively align with our disruptive business objectives.
Build a World-Class Culture: Act as a talent magnet. You will recruit, mentor, and retain top-tier engineering and AI talent, fostering a culture of high velocity, intense empathy, and unyielding technical excellence.

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.

We are looking for the next Data Analyst to join our growing team!
If you enjoy working in a dynamic and fast-paced startup environment, this opportunity is perfect for you! Our customers come from a wide range of industries, populating our datasets with extraordinary amounts of rich and diverse data.
Responsibilities:
You will be a part of the Data team and work with a wide range of data sources and types
Be an integral part and improve our data pipeline and the client onboarding process
Be in charge of analyzing complex datasets and translating them into valuable insights.
Work closely with our clients and understand their needs.
Data visualization both for internal and external purposes.
You will take a significant role in the AI model design and creation
Build data analysis infrastructure.

We are looking for a Lead Software Engineer - Innovation Team to join our growing our new engineering innovation team who build our new product offering with our clients!
Our newest product line - a small, fast-moving team operating like a startup inside the company. While our core offering helps customers acquire better users and spend less doing it, Engage turns that intelligence inward: re-activating churned, dormant, and low-value users who are already on our customers' platforms. As a Senior Software Engineer, you'll work directly alongside the team's engineering lead, building the systems that take machine-learning predictions about user behavior and turn them into automated, continuously-learning decisions delivered straight into our customers' DB and CRM tools. This is a role with no narrow lane - you'll touch literally everything: data pipelines, ML and algorithms, applicative backend services, and even the UI. You'll partner closely with a VP Product and senior data scientists in a high-ownership environment where you shape the architecture, ship to production, and see your work drive a brand-new revenue stream for the company.
Responsibilities:
Design and build high-quality, production-grade systems across the entire Engage stack, from large-scale cloud data pipelines, to ML and decisioning services, to applicative backend and customer-facing UI, with an eye for performance, reliability, and easy maintenance.
Own the closed loop end-to-end: turning ML predictions into automated decisions, delivering them into customers' DB and CRM systems, and feeding outcomes back in so the system keeps learning.
Take features from idea to production largely on your own: designing the architecture, shipping it, monitoring it in production, and iterating, with the autonomy (and accountability) that comes with a small team.
Collaborate closely with the team's engineering lead, the VP Product, and senior data scientists to take models and research from prototype to reliable, scaled-up production systems.
Monitor performance and prioritize work by making data-driven decisions.
Participate in code reviews and uphold engineering standards and best practices across the team.