דרושים » תוכנה » Engineering Team Lead - AI & Innovation

we are looking for a Head of AI to drive the strategic adoption and integration of AI across our B2B SaaS product and organization. In this role, you will set and execute the strategic AI agenda, ensuring alignment with business goals while identifying and prioritizing AI opportunities that drive innovation and efficiency.

This is a high-impact leadership role where you will take end-to-end ownership of AI strategy, guiding its development from initial research to full deployment. If you thrive on tackling real-world challenges, leading high-performing teams, and shaping the future of AI in B2B SaaS, wed love to hear from you.

Responsibilities

Strategic Leadership
Develop and execute the strategic vision for AI across the organization
Identify and help prioritize AI opportunities that align with business goals and drive innovation
With Product
With other stakeholders
Influence company-wide decisions and integrate AI into the product and the various business units.
Research and Development
Manage the AI research team and the AI development team
Drive teams execution and lead creative thinking to reach innovative solutions
Stay ahead of industry trends and emerging technologies to keep the organization at the forefront of AI advancements
Encourage and facilitate continuous learning and experimentation within the team
Management & Project Oversight
Oversee the planning, execution, and delivery of AI projects.
Ensure projects are completed on time, within budget, and meet the desired outcomes
Work closely with product and other stakeholders to gather requirements and build a plan
Manage the execution of the group, ensure productive relationship between the different disciplines within the team and with external stakeholders

We are seeking a AI Lead to drive the development and deployment of intelligent applications powered by ambient IoT platform. This role will be at the forefront of building AI-native interfaces that connect the physical and digital worlds redefining how users interact with real-time data, business operations, and physical assets.

This is a flexible leadership position: Ideal for someone who can build and lead a team, or an exceptional technical expert capable of executing as a high-impact individual contributor. The role reports to the Director of Strategy and will be central to shaping AI roadmap across internal tools, customer-facing solutions, and SDKs for external developers.

Responsibilities
AI Product Execution: Lead the development of GenAI-driven products, such as intelligent agents, copilots, and self-serve interfaces for real-world sensing and IoT data.

Architecture & Engineering: Design scalable, secure, and maintainable architectures for deploying LLM-powered services in production.

AI/ML Ops & Infrastructure: Own the full lifecycle of AI solutions prompt engineering, model evaluation, vector search, function calling, monitoring, retraining.

Team Leadership (optional): Mentor and grow a team of AI engineers and applied researchers, or collaborate across squads as a senior IC.

Cross-functional Collaboration: Work with data scientists, software engineers, product managers and business stakeholders to embed generative AI into the core of data product strategy.

Customer Use Cases: Translate ambient IoT data into actionable AI experiences supporting applications in logistics, sustainability, inventory management, and supply chain visibility.

Developer Platforms: Help build the SDKs and APIs that let customers and partners create their own AI-powered workflows using technology.

Experimentation & Research: Stay at the frontier of GenAI advancements (LLMs, RAG, agents, vision-language models) and apply them to real-world constraints and data environments.

Join our AI & Innovation group as a Data Scientist and help shape the future of AI-driven security solutions. Youll work with a team of passionate, sharp-minded professionals tackling complex challenges at the intersection of AI, data science, and cybersecurity building the next generation of security products at the core of strategy.

Youll have access to some of the best cybersecurity data sources available, working in a fast-moving, dynamic environment that blends the agility of a startup with the scale and stability of a global leader.

If youre excited about solving real-world AI challenges, translating research into impactful solutions, and collaborating with top talent to push the boundaries of innovation we want to hear from you.

Key Responsibilities
Translate ambiguous product or business challenges into well-defined data science problems
Research and prototype cutting-edge AI techniques (LLMs, RAG, knowledge graphs, etc.)
Design and implement data-driven algorithms, analyze data, build and evaluate models
Collaborate with engineering to deploy scalable, production-ready solutions
Work with product teams to align AI solutions with user needs and business goals
Collaborate cross-functionally with engineers, product managers, and fellow scientists to bring research into production and deliver measurable impact
Stay current with advancements in AI/ML and generative AI, and actively contribute to innovation within the team and broader organization

In this role, youll help reshape the future of work by blending human creativity with the power of AI. Youll drive the evolution of AI-powered buyer-seller experiences and play a key role in building cutting-edge tools that redefine how people collaborate, create, and earn.

Youll be at the intersection of product strategy, AI innovation, and marketplace design - working on high-impact features that help sellers scale and empower buyers to achieve more. If youre passionate about building the future of work and love turning bold ideas into real-world products, we want to hear from you.

What am I going to do?
Lead product strategy and roadmap from discovery through launch, with full ownership of your domain.
Shape and define problems through user research, competitive analysis, and market insights.
Stay ahead of the AI curve - understand emerging AI capabilities and integrate the best solutions for our users.
Drive execution by aligning cross-functional teams and translating ideas into high-impact features.
Collaborate deeply with engineering, design, research, marketing, data, and other stakeholders.
Make decisions grounded in data, user feedback, and business impact.
Prioritize ruthlessly to balance quick wins with long-term bets, ensuring focus on what moves the needle.
Track progress and delivery, manage workflows across teams, and keep everyone aligned and moving fast.

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team At Riverside, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll fit right in.
On your day to day We’re on the lookout for a hands-on, experienced MLOps Team Lead to help build and grow our team at Riverside. You’ll play a key role in driving AI innovation by building fast, scalable, cost-efficient, and reliable ML infrastructure that enables our AI model development across multiple modalities and cloud environments. You’ll work closely with AI researchers, software engineers, and DevOps to create smooth ML workflows, manage large-scale GPU clusters, build data pipelines, and ensure everything runs efficiently. You’ll also mentor a team, drive a culture of excellence and good vibes, and take ownership of the employee's full lifecycle, from recruitment to growth and development.

As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities:
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.

We're seeking an innovative R&D Manager to lead our team in pushing the boundaries of AI technology. You'll play a pivotal role in translating Apollo's cutting-edge capabilities into revolutionary products and features.
What You'll Do:
- Spearhead our R&D team, fostering a culture of innovation and technical excellence
- Collaborate with product, data, and infrastructure teams to align R&D efforts with strategic goals
- Develop and execute research plans that leverage Apollo's neuro-symbolic architecture
- Guide the team in implementing best practices and state-of-the-art research methodologies
- Manage resources effectively, ensuring optimal allocation for maximum innovation
- Identify and mitigate technical risks to maintain project timelines and product quality
- Recruit top talent and mentor team members to drive continuous growth and development
- Facilitate cross-functional collaboration to accelerate product development
- Stay at the forefront of AI advancements, particularly in conversational agents and fine-tuning techniques.

Were looking for a hands-on, product-minded AI professional to help us tackle real-world cybersecurity challenges using existing LLM technologies (like OpenAI, Claude, Bedrock, and more). Youll be part of the Product & AI team, working closely with product managers, engineers, and internal stakeholders to translate problems into smart, working AI-powered solutions.

This is not a researcher or data science role. Its a solution-driven, execution-oriented position for someone who knows what LLMs can do, and how to make them deliver value today.



Key Responsibilities:

Design AI-powered solutions using off-the-shelf tools and APIs (prompting, chaining, agents, etc.)
Collaborate with product and R&D teams to deliver working features and PoCs
Own the how of AI: from idea to prototype to functional integration
Track AI industry trends and apply relevant ideas and tools
Act as a cross-functional bridge between product, tech, and innovation

looking for a brilliant, independent AI Software Developer to join our CTO office!
a SaaS B2B solution that tackles one of the biggest challenges in financial departments: the overflowing amount of data that, up until now, was managed by tons of Excel sheets. All those financial reports, forecasts, expenses, analytics? takes all this data and integrates it into a one, simple, smart report. It consolidates the information, enables the finance professionals to follow it, manage it, and create the ever-needed order within the realm of finances. If this isn't enough, it enables thorough analysis of consolidated data for the creation of business and financial insights. Its cloud-based, so nothing gets lost, its brilliant, so almost every feature can be added.

What You'll Do
Own end-to-end development of backend features, from design through implementation to deployment and monitoring.
Work closely with Product, Data Science, and other cross-functional teams to deliver AI-powered features and solutions.
Take initiative to identify and resolve blockers across teams to ensure smooth and timely delivery.
Design and implement robust, scalable, and maintainable backend services in a microservices architecture.
Write clean, efficient, and testable code, and participate in code reviews and design discussions.
Contribute to improving development processes and engineering best practices.
We offer a supportive, agile, creative work environment with brilliant colleagues!
Competitive compensation, ongoing recognition, and a chance to learn, contribute, and develop your skills.
Opportunity to join an explosive industry, a successful and growing organization, and an unmatched leadership team passionate about their employees!

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.

This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.

You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.

If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.

Role and Responsibilities
MLOps Infrastructure & Automation

Architect and maintain scalable, self-service ML pipelines, CI/CD workflows, and orchestration frameworks (Kubeflow, MLflow, Airflow).
Design high-scale distributed training environments, leveraging multi-GPU/TPU clusters and parallelization strategies.
Optimize ML workflows for speed, scalability, and cost efficiency across cloud (AWS/GCP) and on-prem environments.
Model Deployment & Real-Time Inference

Build ultra-low-latency, high-throughput inference architectures optimized for LLMs at scale.
Implement A/B testing, canary releases, and rollback mechanisms for model deployment.
Develop robust monitoring, logging, and alerting solutions for model performance, drift detection, and reliability.
Cloud & Compute Optimization

Lead the design and scaling of multi-cloud ML infrastructure using Kubernetes, Terraform, and ArgoCD.
Optimize GPU/TPU utilization, autoscaling, and resource allocation to maximize efficiency.
Build and manage feature stores, data pipelines, and large-scale storage solutions.
Leadership & Cross-Team Collaboration

Work closely with LLM researchers, ML engineers, and platform teams to align MLOps infrastructure with cutting-edge AI research and real-world deployment needs.
Define and enforce best practices for model governance, security, and compliance.