לוח משרות דרושים עבודה היברידית

We are seeking an experienced Java Software Developer to join our Core application Team. As a Java Software Developer, you will be responsible for designing, developing, and maintaining a software application that works with large scale systems that serve enterprises. The ideal candidate will have a deep understanding of Java and Big Data technologies and the ability to work in a fast-paced, dynamic environment.

You're invited to meet the R&D team here!

Working in a hybrid model: 3 days in the office, 2 days from home.

Responsibilities

Design, develop, troubleshoot, and maintain high-availability systems using Java

Optimize existing services to be enterprise-grade and scalable, ensuring they meet the demands of high-volume usage

Write high-quality, maintainable code and ensure that code is thoroughly tested and debugged

Participate in code reviews and ensure that all code meets the standards set by the team

Mentor other developers and provide guidance and support as needed

We are building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.
We're working in a hybrid model: 3 days in the office, 2 days from home.

You are invited to meet the R&D team here!

In this role, you will:

Research and develop next-gen code analysis and remediation algorithms

Work hands-on with GenAI models and integrate them into detection workflows

Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)

Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations

Responsibilities:

Design and implement machine learning and algorithmic solutions for code analysis

Build GenAI-powered developer tools for static and semantic code analysis

Enhance our existing detection infrastructure with intelligent, context-aware insights

Translate cutting-edge research into practical, scalable product features

This is a role dedicated to driving success for our top-tier accounts. You will be the success architect and orchestrator of their entire journey, ensuring they fully maximize the value of the platform and achieve their desired outcomes. You'll combine technical expertise with a relentless focus on organization and process improvement, identifying and bridging any gaps or issues that arise within these complex accounts.

Location - Givatayim, Israel ( Hybrid )

Responsibilities:

Develop and maintain an understanding of best practices for at-scale implementations of the solutions

Proactively understand and anticipate the technical needs and challenges of your assigned accounts. Understand complex technical situations, take ownership of ensuring resolution, and escalate when necessary

Bridge the gap between technical knowledge and customer needs, translating complex technical information into clear and actionable insights for both internal and external stakeholders. Collaborate effectively with engineering, product, support, sales, marketing, and leadership teams to deliver optimal solutions

Maintain a commitment to continued growth and understanding of our implementations, staying abreast of the latest updates and best practices.

Design and execute personalized customer success plans with measurable goals, focusing on maximizing feature utilization, securing client renewals, supporting lead generation, and driving expansion revenue.

Identify and address potential roadblocks before they become critical issues, ensuring proactive solutions to maintain smooth operations and high customer satisfaction.

Continuously assess and optimize customer workflows, implementing solutions or identifying gaps to improve efficiency and effectiveness across the company.

Implement and refine internal processes to optimize the customer experience and ensure seamless communication and collaboration with your accounts

Leverage metrics and KPIs to track progress, identify areas for improvement, and demonstrate the impact of your initiatives

Deliver clear and concise technical communications to both internal and external stakeholders, influencing, advocating, and driving action as needed

We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.
As a Senior Demand Partner Manager, You will serve as the primary account manager for our existing third-party (3P) demand partners, focusing on driving sustainable revenue growth.
About the Senior Demand Partner Manager:
Technical Optimization: You will be responsible for monitoring and improving critical KPIs, including bid rate, match rate, win rate, and total spend.
Demand Generation: Move beyond reactive support with commercial growth motions.
Cross-Functional Collaboration: Partner closely with product and ad ops teams to remove technical hurdles and friction, effectively unlocking incremental scale across the platform.
Own day-to-day relationships with DSPs and performance buyers
Diagnose and resolve technical issues impacting bid rate, match rate, and win rate while identifying key optimization levers across auction mechanics, deal setup, and supply alignment to maximize spend.
Servicing day to day operational needs + continually optimize partner performance
Drive joint direct/indirect demand (revenue) generating initiatives at the ground level
1st line of technical support (including PMPs for DSP/SSP partners)

This role combines strong Data Science expertise with the ability to independently lead impactful, production-grade work in complex environment.
The role focuses on developing AI capabilities on top of complex data in a security product environment. It requires independent thinking, analytical rigor, curiosity, flexibility, and strong technical ability. It also requires leading work end-to-end, breaking down complex problems, conducting structured research, and collaborating effectively across teams.
Key Responsibilities
Lead Data Science initiatives from problem definition through validation, production deployment, and monitoring
Develop AI-driven capabilities, including, domain-adapted models, prediction, anomaly detection, classification and AI agents
Adapt and fine-tune LLM-based solutions
Break down complex problems into clear components and drive structured research and iterative development
Choose the right approach for each problem, starting from simple baselines and progressing to more advanced methods when needed
Design solutions with awareness of production constraints and system limitations
Help shape solution architecture
Work closely with product, engineering, and other stakeholders across the company
Present findings, ideas, and results clearly at different levels, from technical peers to managers
Support team knowledge sharing, brainstorming, and guidance of other team members

We are looking for an AI Solutions Engineer who combines technical expertise in AI/ML systems with strong business acumen and communication skills. This role bridges the gap between cutting-edge AI technologies and real-world business needs-requiring someone who can design, implement, and deliver pinpoint AI solutions, accurate for the customers needs, while guiding them in extracting maximum value from our system.
About the Role:
As an AI Solutions Engineer, youll partner with enterprise clients to understand their challenges and architect AI-driven solutions using the platform. Youll collaborate with leading data science and ML engineering teams, working alongside experienced practitioners to ensure smooth adoption and measurable business outcomes.
Youll design and deliver proofs of concept, lead workshops, and build compelling demos showcasing our capabilities for AI evaluation, monitoring, and reliability. Acting as the key interface between our product, research, and customer teams, youll help translate technical requirements into impactful AI solutions.