לוח משרות דרושים הייטק AI

we are looking for an Program Manager, Internal AI Solutions to join the Production Operations team and work closely with our AI department. This role bridges the gap between technology and operations, ensuring our company adopts the most effective AI-driven tools and automation to enhance efficiency, streamline internal work processes and drive operational excellence.
What am I going to do?
You will identify, evaluate, and implement AI-driven tools (internal and third-party) to optimize workflows and automate processes.
You'll collaborate with customer care, business, product, and engineering teams to ensure seamless integration and efficiency.
As part of your job you will interview internal teams, map processes, analyze workflows to identify bottlenecks which need to be resolved.
You have a strong analytical mindset, excellent project management skills, and a passion for AI-driven innovation in business operations.

Were looking for a Product Manager to lead our companys LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace.
As the PM for LLM Infrastructure, youll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. Youll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more.
Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.
What am I going to do?
Define the product vision and roadmap for our companys LLM infrastructure, aligning with long-term company strategy and cross-team needs.
Lead the development of scalable systems that extract meaning and structure from conversational and behavioral data.
Drive adoption of LLM capabilities across our company by building unified APIs, shared frameworks, and streamlined integration pipelines.
Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
Manage technical complexity and connect infrastructure efforts with clear business value.

Were looking for a Principal Software Engineer with a builders mindset and a passion for innovation to join our AI Security team at BigID.
Youll play a key role in shaping how organizations adapt and secure their use of AI, working on new initiatives from the ground up. The ideal candidate is a hands-on technical leader who thrives in ambiguity, brings deep backend expertise, and influences cross-team architecture and product direction.
This is a unique opportunity to work on cutting-edge AI Security initiatives in a fast-paced, high-ownership environment.
What Youll Do:
Design scalable, secure solutions to complex technical challenges
Build backend services and infrastructure from the ground up
Drive architectural and technological decisions across products
Collaborate closely with cross-functional teams and mentor engineers
Review design and code to uphold high engineering standards
Explore new technologies and bring innovative ideas into production

We are looking for a Senior Product Manager to lead AI Data Security and CoPilot initiatives. In this pivotal role, youll lead the development and market launch of cutting-edge AI security and advanced CoPilot products that are central to our growth strategy.
Youll play a pivotal role in shaping the future of AI security by addressing critical challenges, from identifying and protecting sensitive data used by LLMs to ensuring robust governance and effective remediation of AI risks.
What you'll do:
Lead the development of AI Security and Governance solutions, empowering customers to adopt AI technologies with speed, safety, and responsibility, driving innovation while safeguarding their most critical assets.
Work closely with cross-functional teams, including engineering, sales, and marketing, to deliver products that address real-world security challenges, positioning as a leader in AI security and governance.
Engage directly with customers to understand their evolving needs and translate these insights into product innovations that enhance their AI security posture.
Align product development with long-term growth strategy, ensuring our AI data security suite remains at the forefront of the industry.

We seek a Lead AI Engineer specializing in prompt engineering and optimizing large language models (LLMs) for real-world applications. In this role, you will not only design effective prompts, improve model responses, and build AI agents, but also take the lead in shaping and delivering the initial AI-powered product for the company. You'll be responsible for driving the technical vision, building from scratch, and leading the implementation of AI-driven capabilities that will become a core part of our product offering.
Responsibilities:
Prompt Engineering: Develop, test, and optimize prompts for high-quality AI responses across different tasks.
Retrieval-Augmented Generation (RAG): Implement RAG-based solutions to improve AI responses using external knowledge bases.
Integration & API Development: Work with software engineers to embed AI features into our product via APIs.
AI Agent Development: Design, build, and deploy autonomous AI agents that can reason, and execute multi-step tasks using LLMs, tools, memory, and APIs.
Experimentation & Evaluation: Continuously refine models using A/B testing, human feedback loops, and AI evaluation metrics.
Stay Updated: Keep up with the latest LLM advancements and best practices in the AI industry.
Product applications: Apply LLMs and agents to real-world scenarios that solve meaningful user problems.
Product implementation: Work closely with the product team to secure delivery is aligned with expected product requirements
Response validation: Implement a process to ensure accurate KPI measurement and consistent, expected outcomes.