Вакансии: Israel

Perform financial due diligence for M&A transactions, analyze financial and business performance, work with clients and investment funds, utilize data analytics tools, and prepare reports and presentations for stakeholders.

Own a significant product area end-to-end, setting strategy and translating customer and market requirements into a coherent vision, roadmap, and features. Work closely with customers, sales, marketing, designers, and R&D teams.

Own and build a data platform from ingestion to reporting. Design scalable ETL/ELT pipelines, maintain near real-time data layers, and deliver business dashboards. Work with modern data stack including dbt, Airflow, Snowflake, and BI tools. Apply AI tooling. Hybrid role in Tel Aviv.

Lead products from discovery to launch, defining strategy, owning the roadmap, and translating business goals into clear product requirements. Manage multiple projects in Agile/Scrum, work closely with clients, and collaborate with development teams to ensure on-time, high-quality delivery.

Responsible for developing advanced image processing and computer vision algorithms for satellite observation systems. Collaborate with camera and satellite development teams, conduct performance studies, and implement algorithms in operational systems.

Lead a team of engineers building scalable, high-performance web applications for a global travel platform. Drive front-end and full-stack solutions, shape architecture, and mentor engineers.

Join a leading family history platform as a Senior Machine Learning Engineer. Design, develop, and deploy ML models, collaborate with cross-functional teams, and apply MLOps best practices. Requires strong Python, deep learning, and cloud experience. Hybrid in Or Yehuda.

Lead design and architecture of cloud-based data solutions, build production-grade data pipelines, ensure data governance and compliance, and integrate with edge computing and AI models for smart infrastructure.

Work on a small, independent team building a unified AV dataset used to train and evaluate next-generation perception models. Focus on the curation and ML side of the data pipeline, including vision-model embeddings, scene detection, VLM-based analysis, scoring, deduplication, and sampling. Run and optimize GPU inference at scale, develop scoring strategies, and build validation tools to ensure dataset quality.

Hands-on team lead responsible for designing and scaling data platform and pipelines. Leads small team while remaining technical, owning delivery and architecture. Requires strong SQL, Python, AWS data services experience.