לוח משרות דרושים הייטק תוכנה

Required Technical Account Manager
As part of the role you will have the opportunity to:
Proactively manage a portfolio of customers to deliver consistent value across the entire lifecycle, driving adoption and growth
Manage the onboarding of new customers and translate the customers Desired Outcomes into an implementation plan that will provide value in a timely fashion
Be the product expert and trusted advisor that your customers can go to for guidance on maximizing value our Horizon platform
Train customers to use products effectively
Make sure all customer issues and requests are handled in a timely manner while working in collaboration with all relevant teams (Product, R&D, Sales and Marketing)
Maintain high levels of customer engagement, including regular account reviews and performance planning
Build strong relationships with stakeholders and drive customer advocacy through case studies, referrals, and references
Actively communicate internally to address customer needs and challenges

Required Senior Fullstack Engineer
Position Overview:
As a Fullstack Developer, youll work on a greenfield product designed to automate cloud optimization across AWS, Azure, and GCP-giving customers better cost efficiency without sacrificing flexibility.
Youll be working across the stack, from designing smart APIs in Python to building modern and responsive interfaces in React. This is your chance to take ownership of architecture and help shape an innovative product.
Your ownership will include:
Developing scalable, end-to-end features using Python and React.
Designing and building RESTful APIs with performance, reliability, and maintainability in mind.
Building elegant, intuitive UI components in React within a scalable micro-frontend architecture and shared component library.
Collaborating with PMs, designers, and cloud experts to translate complex challenges into product features.
Taking end-to-end ownership of key components, contributing to architecture and design decisions.
Integrating with internal systems and external APIs, including major cloud platforms.
Driving best practices in code quality, testing, automation, and CI/CD workflows.
Participating in code reviews and fostering a high-standard engineering culture.

We are looking for a Senior Data Analyst to join our data team and serve as a key analytical partner to the business.
In this role, you will turn large-scale cloud usage data into insights that influence product decisions, customer value, and company growth.
This role goes beyond technical analysis. It requires strong business understanding and the ability to connect data to real-world outcomes.
As an independent function working closely with development teams, your insights will directly impact research quality, prioritization, and decision-making across the company.
Your Ownership Will Include:
Analyze data from cloud service providers and additional internal and external sources, with a clear focus on business and product impact.
Structure, clean, and organize unstructured and semi-structured data.
Investigate anomalous activity and assess product, customer, and business risks.
Translate complex analyses into clear, actionable insights for decision-makers.
Create concise reports that highlight trends, risks, and opportunities.
Define, track, and refine core product and business metrics.
Contribute to dashboards that support data-driven decisions across the organization.
Work closely with Product and Engineering teams as an independent analytical partner.
Operate autonomously with strong ownership, accountability, and attention to detail.

We are looking for a BDR Team Lead to build, coach, and scale our sales development team. Youll own both inbound and outbound pipeline creation, lead a team of BDRs, and play a key role in driving new business opportunities for our Kubernetes and cloud optimization platform.
This is a hands-on leadership role with real impact, working closely with Sales, Marketing, and RevOps. If you enjoy developing people, building strong team culture, and creating a high-performing pipeline engine - this role is for you.
This position is based in Israel and requires alignment with U.S. business hours. Sunday: 10:00-18:00, Monday-Thursday: 12:00-22:00
Your ownership will include:
Lead & Grow the BDR Team:
Manage and coach a team of 4 BDRs with weekly 1:1s, call reviews, and clear goals.
Build a positive, accountable team culture focused on curiosity, ownership, and excellence.
Develop BDRs into future sales talent who can confidently engage technical decision-makers.
Own Inbound & Outbound Pipeline:
Lead pipeline creation for mid-market and SMB tech companies in North America and Europe.
Run an account-based outbound strategy using intent signals and tight targeting.
Build and optimize multi-channel cadences (email, phone, LinkedIn).
Coach reps to run sharp discovery conversations and deliver high-quality handoffs.
Build the BDR Engine:
Create and improve playbooks for targeting, messaging, sequencing, and qualification.
Work with RevOps on territories, routing, processes, and reporting workflows.
Ensure strong CRM hygiene and accurate reporting across Salesforce, Outreach, and supporting tools.
Track funnel performance and drive improvements that focus on pipeline quality - not just volume.
Work Cross-Functionally:
Partner with Marketing on messaging, campaigns, ABM, and feedback loops.
Align with Sales leaders and AEs on target accounts, handoff standards, and pipeline expectations.
Collaborate with RevOps to enhance tools, data, and operational processes.

Were looking for a SENIOR C++/PYTHON Tech Lead to help build and evolve our high-performance, scalable software systems. In this role, youll own major development efforts in a Linux-based environment, modernize existing codebases, and contribute to a robust platform used in demanding environments.
Youll be part of an engineering team that thrives on ownership, clarity in architecture, and tight-knit collaboration to ship high-quality software at scale
Responsibilities:
Design and implement efficient, production-ready C++ applications on Linux
Translate use cases and requirements into scalable, high-quality code
Refactor and modernize legacy codebases for better maintainability and performance
Identify and resolve bottlenecks across the stack using tools like eBPF
Collaborate cross-functionally with infrastructure, QA, and product teams
Ensure system quality via automated testing and CI/CD best practices
Participate in code reviews, design discussions, and mentoring.

Were looking for a passionate and proactive Software Team Leader to head a backend-focused R&D team, responsible for designing and building scalable core systems, while remaining hands-on and close to the code.
Youll be at the center of our most strategic tech and business initiatives, driving innovation and delivering high-impact solutions.
This is a hybrid position, including two to three work-from-home days per week, with flexibility based on team and individual needs.
Our Office is located in Kiryat Ono.
Responsibilities:
Lead a full-stack team working on our proprietary optimization platform
Architect and build high-scale, data-centric web systems
Be a hands-on leader: code when needed, unblock, mentor, and push forward
Collaborate with product managers who work hand-in-hand with our performance teams.
Balance rapid delivery with long-term architecture and stability

We are looking for a Director, Enterprise Project Office to join our fast-growing Enterprise Project Office team. Reporting to our VP, Enterprise Project Office, you will be supporting the team on multiple programs and projects from initial concept through launch, working closely with internal and external stakeholders to define objectives, create detailed project plans, manage budgets, and ensure delivery within agreed timelines. The Director will also manage EPO project professionals, providing guidance, support, and performance oversight.
The position requires deep technical expertise in payment processing platforms, proven experience as a technical project manager, and the ability to work effectively with product, engineering, and operational teams to deliver large-scale business transformation. Strong data strategy experience, including the ability to design and execute data-driven solutions that improve enterprise decision-making and operational performance, is critical. Experience in product management, engineering, or systems architecture is highly desirable.
The ideal candidate combines strong delivery management skills, technical depth, and the ability to connect strategy to execution. They will have a clear understanding of technical architectures, integration points, data flows, and operational dependencies that underpin mission-critical payment systems.
Key Responsibilities:
Lead delivery of complex initiatives across multiple programs, including digital payment platform implementations, upgrades, and client/platform migrations.
Define scope, goals, and deliverables in collaboration with senior leadership, product, engineering, and operations.
Develop and maintain comprehensive project plans aligned to strategic priorities, covering organizational and technical readiness, including architecture, integration, and data migration.
Integrate data strategy into project planning, ensuring data architecture, governance, and analytics capabilities are embedded in solutions.
Communicate progress, risks, and expectations clearly to stakeholders and executive sponsors.
Manage resource allocation and priorities across concurrent initiatives.
Mentor and guide EPO project professionals, ensuring accountability and high-quality delivery.
Oversee timelines, milestones, and deliverables using Agile, Waterfall, or hybrid methods.
Deliver executive-level reports, proposals, and presentations; manage scope changes, risks, and contingency plans.

Were looking for an Applied Data Scientist to join one of our product squads. Youll design, build, and deploy data-driven solutions that combine machine learning, statistical methods, and SQL/rules-based decision logic to power autonomous supply chain intelligence platform. Youll work closely with data science, engineering, product, and supply chain experts and own solutions end-to-end-from problem definition to production monitoring and iteration.
Responsibilities:
Deliver data science solutions end-to-end within a product squad: problem framing → data prep/labeling → modeling → deployment support → monitoring → iteration
Build, train, and improve ML models for supply chain use cases (e.g., inventory risk prediction, demand anomalies, root-cause analysis)
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis and document learnings
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of performance
Collaborate with software engineers to productionize solutions (batch and/or real-time), including testing, logging, and basic monitoring
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team.
Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments. Many of our OCC Monitoring Specialists have been promoted internally and integrated into development, DevOps, and product teams.
This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.
Responsibilities:
Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations.

we are looking for a Full Stack Tech Lead.
As a Full Stack Tech Lead you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesnt stop there.
you are encouraged to think big and help out in other areas as well.
Key focuses:
Design and write code that is critical for business growth
Design and implement e2e features, Work closely with product managers, peer engineers, and business stakeholders
Lead design for new products and initiatives as well as integrating with currently implemented best-practices
Review your peer's design and code, pursue high code standard using best practices.

we are looking for a Senior Data Engineer.
As a Senior Data Engineer you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there.
you are encouraged to think big and help out in other areas as well.
Key focuses:
Designing and writing code that is critical for business growth
Mastering scalability and enterprise-grade SAAS product implementation
Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
Review your peer's design and code
Work closely with product managers, peer engineers, and business stakeholders

We are seeking a highly motivated and experienced BI & Data Engineer to join our fast-growing Data team. Reporting to our Development Team Leader. You will be supporting the team on all Data, pipelines and reports. Help turn raw data into business insights. Managing and designing BI solutions, including ETL processes, Data modeling and reporting. Our BI & data Developer would also enjoy our future data technological stack like: Airflow, DBT, Kafka streaming, AWS/Azure, Python, Advanced ETL tools and more.
Responsibilities:
Gathering requirements from internal customers and designing and planning BI solutions.
Develop and maintain ETL/ELT pipelines using Airflow for orchestration and DBT for transformation
Design and optimize data models, ensuring performance, scalability, and cost efficiency.
Collaborate with BI developers, analysts, AI agents, and product teams to deliver reliable datasets for reporting and advanced analytics.
Development in various BI and big data tools according to R&D methodologies and best practices
Maintain and manage production platforms.

We are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.

We are looking for a hands-on, strategic Business Application Manager with a proactive, ownership-driven mindset. Someone who takes initiative, thinks beyond the immediate task, and translates data into real business impact.
This role requires a unique mix of systems expertise, project management, and analytical skills. Youll not only implement and optimize our platforms but also analyze ROI, create data-driven case studies, and help leadership make informed decisions.
Reporting to the VP of Customer Success, youll work cross-functionally with Sales, Marketing, Finance, Procurement, and Operations to ensure the company has the right tools, workflows, and insights to scale effectively.
This is part project manager, part systems owner, and part business analyst. Youll lead end-to-end implementations, integrate platforms like Salesforce, Intercom, Quicksight, create dashboards and reports, and drive process optimization across the business.

We are seeking an experienced Senior Data Product Manager to own the strategic direction, scaling, and optimization of AI and data platform. This is a high-impact leadership role where youll define the long-term vision, shape platform-wide data standards, and ensure our data products deliver measurable business value at scale.
As the strategic owner of core data capabilities, youll work closely with executives, enterprise customers, and multi-disciplinary teams to deliver intelligent, self-optimizing workflows that transform how global organizations operate. Youll operate at the highest level of product influence, driving roadmaps, aligning with corporate OKRs, and mentoring other PMs.
Key Responsibilities:
Define and execute a strategic and execution plan for data and AI platform, ensuring alignment with executive priorities and market opportunities.
Lead platform-wide architecture, governance, and interoperability standards for data models, pipelines, and integrations.
Act as the primary product voice for AI/data strategy in executive discussions, client C-level meetings, and partner engagements.
Collaborate directly with clients to ensure onboarding success, define business success metrics, and rollout milestones.
Mentor other PMs, fostering a culture of customer obsession, technical excellence, and measurable impact.
Partner with Engineering, Data Science, and Solution Engineering teams to design data models, pipelines, schemas, and enrichment flows across a wide range of external data inputs (APIs, unstructured formats, operational feeds).
Establish frameworks for data quality, observability, and self-healing ingestion across distributed, multi-vendor systems.
Conduct deep market research and competitive analysis to guide investment decisions and identify emerging opportunities.
Drive platform-wide data consistency by introducing standards for cross-source schema design, entity resolution, and joinability.
Conduct market analysis, user interviews, and internal research to identify product gaps, edge cases, and scalability challenges.
Build internal tooling and dashboards to surface model performance, user adoption, and operational bottlenecks.
Use SQL and Python for hypothesis validation, data exploration, and rapid prototyping to support discovery and iteration.