לוח משרות דרושים הייטק תוכנה

A deep-tech startup building real-time vision intelligence systems, is looking for a senior applied researcher to take full ownership of a core domain - from research to production. The company is tackling one of the hardest perception challenges - early detection of low-visibility targets such as drones and vessels. The systems are deployed in real-world environments and have direct impact on safety and life-saving operations.
Responsibilities:
Own a computer vision / AI domain end-to-end - from problem definition to production deployment
Develop new algorithms and improve existing models with measurable performance impact
Design and execute experiments, analyze results, and iterate rapidly
Integrate research directly into production systems and codebase
Collaborate closely with researchers and engineers to deliver real-world solutions

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io As a Growth Product Analyst at Artlist, you will sit at the intersection of Performance Marketing and Product. Your mission is to maximize acquisition and optimize the post-landing user journey. Serving as a key data partner for our Growth Product Squads, you will analyze how incoming traffic interacts with the platform, from landing pages to promotions. You will also act as the primary point of contact for performance fluctuations, bridging the gap between marketing campaigns and internal product funnels. What You’ll Do
* Product Funnel & Visitor Analysis: Analyze user behavior from the moment traffic lands on the platform. Understand navigation patterns and how users interact with site elements and promotions to drive conversion.
* Performance Triage & Insights: Act as the first line of defense for Performance Marketing and Business Analytics when acquisition or conversion shifts occur. Perform root-cause analysis to identify product friction and route deep-dives to relevant teams when necessary.
* Growth & Acquisition Partner: Partner closely with Product Managers and developers to drive initiatives around landing page optimization, pricing displays, and the self-serve product experience.
* Cross-Functional Collaboration: Collaborate with Business Analytics and Performance Marketing to align on traffic quality and campaign performance. Work with Product Marketing (PMM) to execute and measure in-product promotions.

We are looking for a Senior Full-stack Engineer for one of our Engineering teams, to help solve the toughest issues in cybersecurity: help SOC analysts quickly investigate security incidents by automatically analyzing petabytes of data.

Responsibilities
Develop and maintain a complex system for managing, analyzing, investigating and visualizing security alerts in real-time using React, NodeJS, and Python.
Query large scale cloud warehouses and databases such as Snowflake, Databricks, Postgres, MongoDB, NeptuneDB, etc.. for time critical and optimized results.
Design scalable, highly available data pipelines in a microservices environment using AWS cloud infrastructure while optimizing resources and performance.
Help Mentor and guide team members by researching and enforcing best practices and methodologies across the pipeline.

As our AI Team Lead, you will sit at the intersection of cutting-edge research and production engineering, guiding a high-performing team of Data Scientists and Engineers. This is a deeply hands-on leadership role where you will drive the end-to-end lifecycle-from initial research and PyTorch training to deploying sophisticated multi-modal AI (Text, Image, Audio, and Video) in high-throughput environments. Join us in building the future of responsible AI adoption and digital integrity.

Responsibilities
Manage and grow a high-performing team of AI researchers and engineers, fostering technical excellence.
Drive the design and training of multimodal models applications (Text, Image, Audio, Video) using PyTorch.
Own the AI roadmap from initial concept to scalable, high-throughput production.
Partner with Product, Backend, and Security teams to integrate AI solutions globally.
Stay at the forefront of GenAI/LLM research to continuously improve our detection engines.

We are looking for a Production Engineer to join our existing Devops team. You will work alongside senior engineers to keep our production systems reliable, observable, and operationally sustainable.

Responsibilities
Lead incident response and on-call rotation.
Help define and refine SLOs and SLIs; tune alerts to reduce noise and improve signal quality.
Write and maintain runbooks; contribute to blameless postmortems and follow-up actions.
Build and improve dashboards , giving product teams clear visibility into the health of their services.
Automating repetitive operational work in Python, C#, and Bash.
Support our Kubernetes workloads, Terraform-managed infrastructure, and observability pipelines across our multi-cloud solution.
Collaborate with backend and platform engineers to make new services production-ready.

Hashavim 360 is a leading fintech information provider, delivering digital solutions in labor law, taxation, finance and pensions. We are looking for a Product Manager.
Key Responsibilities: Implementation of the product's strategy and vision and make sure it’s aligned with the company's overall objectives and market trends in the legal industry. Conduct in-depth market research and analysis to identify emerging trends, competitive landscape, product market fit, and customer needs within the legal technology space. Define and prioritize the product roadmap based on strategic initiatives, customer feedback, and market opportunities, ensuring alignment with business goals and resources. Lead cross-functional agile teams through the product development lifecycle, from ideation and requirements gathering to design, development, and launch, while maintaining focus on quality and timeliness. Ensure that all product features and functionalities comply with relevant legal regulations, data privacy laws, and security standards. Identify opportunities to embed AI capabilities into the product: automations, intelligent workflows, and decision-support features that add measurable value to customers. Apply AI tools in day-to-day PM work: research, spec writing, discovery synthesis, backlog management, and stakeholder communication.

abra R&D is looking for a Senior Data Scientist for AI Agents Platform: abra R&D is building a next?generation database platform for AI Agents and is looking for a Senior Data Scientist to join the core product team. This role is research?oriented and focuses on developing analytical methodologies, statistical models, and algorithmic foundations for an agentic analytics platform operating on large?scale, real?time data. The position sits at the intersection of applied research and product, with a strong emphasis on experimentation, inference, and translating theoretical approaches into practical decision?making systems. Responsibilities: Analyze large?scale structured and unstructured data to extract actionable insights
* Design and develop statistical and machine?learning algorithms for analytics and decision systems
* Build and evaluate models for forecasting, anomaly detection, and decision support
* Apply causal inference methods to measure impact and understand relationships in data
* Design and analyze experiments (A/B tests, uplift modeling)
* Define statistical methodologies used across the platform
* Collaborate with AI and engineering teams to translate models into product features
* Communicate insights clearly to technical and non?technical stakeholders

We’re looking for a AI Solutions Junior Engineer who thrives at the intersection of data, product, and client impact. In this role, you’ll take full ownership of delivering and evolving AI based data solutions for our customers - blending deep analytical skills with strong communication and product intuition. If you’re excited by semantic models, data analysis, and helping clients leverage data to inform business decisions, this role is for you. What You’ll Do
* Work with AI-generated semantic models, editing them and optimizing them to drive actionable insights.
* Work directly with customer stakeholders to deeply understand business needs, use cases, and their data environment.
* Own the technical solution end-to-end, including model refinement, tuning and verification, ensuring data accuracy and consistency.
* Collaborate with R&D, Sales and Product to surface insights, resolve blockers, and influence product enhancements.
* Translate business questions into analytical solutions constantly pursuing optimization, efficiency and automation opportunities.
* Work with client stakeholders to provide training and enablement support.

abra R&D is looking for a Senior FullStack Engineer! abra R&D is looking for a FullStack Engineer who will take part in building a next-generation agentic analytics platform, a real-time database optimized for AI agents at scale. We are looking for a Full Stack Engineer to build user-facing products and internal tools on top of our AI and data platform. This role combines frontend, backend, and product thinking, with strong ownership over design and implementation. What you’ll do:
* Build and own end-to-end features across frontend and backend
* Develop modern web applications using React and TypeScript
* Design and implement backend services using NestJS
* Translate product and UX requirements into clean, scalable system designs
* Work closely with AI and platform teams to integrate agent-driven capabilities into products
* Build data-rich interfaces for analytics and real-time systems
* Ensure performance, reliability, and usability across the stack

abra R&D is looking for a AI Engineer! abra R&D is looking for an AI Engineer that will take part of building a next-generation agentic analytics platform powered by a real-time, AI-optimized data infrastructure. We are looking for an experienced AI Engineer to design, build, and deploy intelligent systems that operate at scale and in real time. This role is hands-on and product-oriented, focusing on developing, integrating, and productionizing AI and machine learning models as part of a complex, high-performance platform. What You Will Do:
* Design, develop, and deploy AI and machine learning models into production systems
* Build scalable AI services that operate on large-scale and real-time data
* Implement deep learning and machine learning solutions using modern frameworks
* Integrate AI models into end-to-end product flows and backend systems
* Collaborate closely with software engineers and AI teams to deliver production-ready solutions
* Optimize model performance, reliability, and scalability in real-world environments
* Develop and maintain data pipelines and model-serving infrastructure
* Contribute to the evolution of AI-powered, agent-based systems and analytics capabilities

abra R&D is looking for a Senior Backend Engineer! ab ra R&D is looking for a Senior Backend Engineer to help build the next?generation Database built from scratch for AI Agents This role focuses on building the developer-facing platform around the core database engine- enabling seamless integration with AI agent frameworks (LangChain, PydanticAI, and others), as well as external systems via connectors, plugins, and SDKs What You’ll Do
* Design and build MCP APIs and core backend services
* Develop and maintain SDKs (Python, TypeScript,Node.js)
* Build connectors and plugins for AI agent platforms (LangChain, PydanticAI, others)
* Design clean, scalable, and ergonomic developer-facing APIs
* Own integration infrastructure (auth, streaming, event pipelines, webhooks)
* Build and optimize real-time data flows between agents, services, and the database
* Collaborate closely with database engineers to expose powerful capabilities through well-designed APIs
* Ensure reliability, observability, and performance of all external-facing systems