Top Tech Jobs & Startup Jobs in Jerusalem

Partners with leaders to align business and people strategies, advises managers, supports the full employee lifecycle, and leads talent, succession, workforce planning, engagement, organizational effectiveness, and change initiatives. Provides guidance on employee relations, performance, employment practices, and Israeli employment law while using people analytics to inform decisions and implementing global and local HR programs.

Own the end-to-end UX and UI for an innovative platform as the sole designer. Responsibilities include product discovery, user research, workflows, wireframes, prototypes, visual design, usability testing, design systems, stakeholder alignment, and collaboration with product and engineering teams. The role requires shaping complex B2B or enterprise experiences in an ambiguous environment, establishing design practices, and delivering polished, accessible products through launch and iteration.

Own the email channel’s revenue contribution, lifecycle and retention strategy, attribution, segmentation, dashboards, deliverability, and automated journeys across multiple SaaS products. Lead churn-prevention and win-back programs, collaborate with Product and Data teams, use behavioral and predictive data for personalization, and manage three email marketing specialists.

Manages full-cycle recruiting for Operations, Engineering, R&D, and other roles across multiple locations. Partners with hiring managers and HR to define requirements, source candidates, build talent pipelines, conduct screenings, coordinate interviews, and manage candidates through hiring stages. Maintains recruiting data in Workday, provides hiring-market insights, delivers a strong candidate experience, and supports talent acquisition process-improvement initiatives.

Leads a hands-on engineering team responsible for cloud-based revenue management products. The role combines coding, code review, architecture, roadmap delivery, hiring, performance management, and team development. The manager partners with Product and cross-functional teams, owns delivery commitments, drives technical quality and continuous improvement, and develops future technical and people leaders. Experience with Azure, FinOps, SaaS production systems, APIs, multidisciplinary teams, and AI-augmented engineering is expected.

Develop and ship end-to-end machine learning models for autonomous driving behaviors across L2-L4 systems. Own data curation, training, evaluation, experimentation, and on-road validation. Improve model performance through iterative training cycles while addressing real-world safety, quality, and deployment constraints. The role may involve reinforcement learning, transformer networks, automotive systems, model compression, and embedded deployment.

Develop backend services and cyber defense solutions for Microsoft Security. Responsibilities include improving service lifecycles, analyzing complex system behavior, streamlining deployments, reducing costs, collaborating across engineering and security teams, and using AI-assisted development tools. The role requires hands-on backend software development experience, initiative, and the ability to design and operate scalable services in cloud or on-premises environments.

Own frontend quality across the development lifecycle, including requirements review, test strategy, manual and exploratory testing, production monitoring, incident investigation, KPI analysis, and continuous improvement. Collaborate with agile teams to identify risks, validate complex business logic, perform API and data investigations, and contribute to automation and quality tooling. Experience with monitoring systems, SQL, REST APIs, browser debugging, and live-environment validation is required.

Build and scale production machine learning infrastructure, including training and inference pipelines, model deployment, feature generation, registries, monitoring, governance, and CI/CD. Improve reliability, reproducibility, observability, performance, and cost efficiency across ML systems. Collaborate with data scientists, analysts, and engineers to productionize models, establish technical standards, and guide the platform roadmap.

Explores and prototypes AI, agent, real-time transport, memory, and infrastructure technologies. Runs technical spikes, evaluates unfamiliar codebases, designs benchmarks, measures latency and cost, and produces evidence-based build-versus-adopt recommendations. Hands findings to production teams and tracks the evolving AI tooling landscape.

Leads product operations across launches, GTM readiness, KPI tracking, process improvement, AI adoption, and internal tooling. Coordinates Product, Engineering, Marketing, and Customer Success teams; develops launch playbooks, monitors product readiness and performance, improves release workflows, and reduces manual work through AI-assisted automation and dashboards.