Top Tech Jobs & Startup Jobs in Israel

Supports sales operations by managing customer sales order lifecycles, inventory levels, warehouse coordination, reporting, sales trend analysis, forecasting, and process improvements. Partners with sales, management, and cross-functional teams to ensure timely customer and business execution. Requires strong analytical, organizational, communication, and collaboration skills, plus proficiency in Microsoft Excel and familiarity with CRM or ERP platforms.

Build and deploy AI-powered tools, autonomous agents, data pipelines, and workflow automations for Sales and Marketing teams. Translate go-to-market strategies into production-grade internal systems, integrate modern APIs and platforms, and improve revenue operations efficiency. Partner with Finance, Sales, and Marketing stakeholders to ensure solutions are secure, scalable, measurable, and deliver strong conversion and productivity gains.

Leads new product introduction from design through commercialization, coordinating design, manufacturing, and quality teams. Develops project plans, schedules, and budgets; mitigates launch risks; leads design-for-manufacturability reviews; oversees prototypes and testing; and ensures compliance with applicable industry standards and regulations.

Founding engineer responsible for architecting and building core product components, writing scalable Python backend code, designing and maintaining AI/ML model infrastructure, establishing engineering best practices (testing, CI/CD, code reviews), collaborating on product roadmap, and mentoring future team members while shipping production systems for a generative AI/agentic platform.

Leads Data Platform, Backend, and Infrastructure engineering teams. Defines data engineering strategy, manages and develops engineers and QA staff, oversees delivery, and supports hiring. Owns scalable batch and real-time pipelines, data platforms, backend solutions, monitoring, observability, incident management, cloud optimization, and infrastructure costs. Partners with stakeholders to build and operate mission-critical data ecosystems using modern warehousing, data lake, governance, architecture, and distributed processing technologies.

Own a portfolio of conversational AI products from opportunity identification through launch, scaling, and iteration. Define success metrics, monitor performance, improve conversational quality, and manage hallucination and renter feedback metrics. Translate partner, operations, and user feedback into roadmaps, PRDs, and Jira tickets. Collaborate closely with Engineering and Data Science on experiments, labeling, evaluation loops, engine improvements, and new AI capabilities. The role requires hands-on execution, deep product expertise, and comfort with ambiguity.

Lead and scale the engineering organization, establish engineering strategy and processes, partner with product and security leadership, ensure architectural reliability and security standards, and recruit, mentor, and develop engineering talent. The role requires hands-on technical leadership across scalable cloud-native platforms, microservices, and large-scale systems in a high-growth startup environment.

Develop creative concepts and copy across brand campaigns, social, email, performance marketing, digital experiences, and product touchpoints. Champion distinct brand voices across a multi-brand portfolio, translate strategy into compelling messaging, and collaborate with design, marketing, product, and UX teams. Manage multiple briefs, use audience insights and performance data to improve creative work, and help establish verbal identities and copy best practices across international markets.

Lead R&D operational cadence, drive cross-functional program execution, surface risks, improve engineering processes, own tooling and budgets, build dashboards, and promote AI adoption to increase delivery efficiency and organizational alignment.

Own production stability and incident management across production environments. Drive postmortems, reliability improvements, production-readiness standards, SLOs, and error budgets. Partner with R&D teams to prioritize and implement operational changes, while communicating technical risks and business impact to stakeholders and leadership. Requires experience in production operations, SRE, DevOps, or related engineering, plus cloud, container, and Kubernetes knowledge.