דרושים » ניהול ביניים » AI Data Science Team lead

Were seeking a visionary and technically hands-on AI Lead to join us and take charge of driving innovation across our core AI systems. As the AI Lead, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

were looking for an AI Product Specialist. In this individual-contributor role, you'll design and build production-ready AI agents, shape our prompt strategy, and ensure every customer-facing team can confidently demo and customize the Builder.

Youll spend approximately 60% of your time on hands-on agent building and prompt engineering, 30% on outbound enablement and GTM support, and 10% on special initiatives such as internal hackathons.

Responsibilities

Own the end-to-end design and development (mostly vibe-coding) of AI agents on our Builder platform, coordinating with stakeholders and ensuring clear, timely communication throughout the process.
Craft, test, and iterate prompts; establish reusable templates and guardrails to ensure the best user experience, trust, and consistent brand voice.
Collaborate closely with customer-facing teams to refine customer-tailored prompts and continuously improve product experience.
Identify new agent opportunities through market research, customer interviews, and field feedback; translate insights into a prioritized backlog.
Enable customer-facing teams (Solutions Engineering, CSM, Sales), Product, and Engineering teams with demo environments, playbooks, decks, and demo-in-a-box kits; run live enablement sessions and certification programs.
Track adoption KPIs of the AI Buildertraining completion, agent usageand present monthly scorecards to leadership.
Lead special initiatives, such as internal hackathons, to spark innovation and develop new production agents.
Serve as the primary subject-matter expert for advanced AI Builder questions, troubleshoot issues, and gather feedback for the product roadmap.

We are seeking talented and passionate Data Engineer to join our growing Data team. In this pivotal role, you will be instrumental in designing, building, and optimizing the critical data infrastructure that underpins innovative creative intelligence platform. You will tackle complex data challenges, ensuring our systems are robust, scalable, and capable of delivering high-quality data to power our advanced AI models, customer-facing analytics, and internal business intelligence. This is an opportunity to make a significant impact on our product, contribute to a data-driven culture, and help solve fascinating problems at the intersection of data, AI, and marketing technology.
Key Responsibilities
Architect & Develop Data Pipelines: Design, implement, and maintain sophisticated, end-to-end data pipelines for ingesting, processing, validating, and transforming large-scale, diverse datasets.
Manage Data Orchestration: Implement and manage robust workflow orchestration for complex, multi-step data processes, ensuring reliability and visibility.
Advanced Data Transformation & Modeling: Develop and optimize complex data transformations using advanced SQL and other data manipulation techniques. Contribute to the design and implementation of effective data models for analytical and operational use.
Ensure Data Quality & Platform Reliability: Establish and improve processes for data quality assurance, monitoring, alerting, and performance optimization across the data platform. Proactively identify and resolve data integrity and pipeline issues.
Cross-Functional Collaboration: Partner closely with AI engineers, product managers, developers, customer success and other stakeholders to understand data needs, integrate data solutions, and deliver features that provide exceptional value.
Drive Data Platform Excellence: Contribute to the evolution of our data architecture, champion best practices in data engineering (e.g., DataOps principles), and evaluate emerging technologies to enhance platform capabilities, stability, and cost-effectiveness.
Foster a Culture of Learning & Impact: Actively share knowledge, contribute to team growth, and maintain a strong focus on how data engineering efforts translate into tangible product and business outcomes.

We are looking for a talented Lead Data Scientist for our Research and Risk team, a team that is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection. This role focuses on researching advanced modeling techniques, continuous experimentation, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Use advanced statistics, machine learning, and mathematical approaches to develop highly predictive risk models to enhance pricing, loss prediction, and rate plan optimization
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products
Translate business goals into actionable research and ensure the research contributions align with company-wide objectives
Collaborate with engineering and product leads to ensure the successful deployment and scaling of research-driven solutions
Serve as a technical leader and coach for the Data Science team, helping to shape team processes and best practices

Required Data Infra Tech Lead
A day in the life and how youll make an impact:
Were seeking an experienced and skilled Data Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure. As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

Join our AI & Innovation group as an AI Software Developer and play a key role in shaping the future of AI-driven security solutions. You'll work with a team of open-minded, ambitious individuals who thrive on collaboration, continuous learning, and delivering real-world impact.

Our group is building an ambitious, AI-powered product at the heart of strategic vision combining cutting-edge AI technologies with world-class cybersecurity expertise. This role offers a unique blend of deep technical challenges, hands-on development, and meaningful product impact. Youll have access to some of the best cybersecurity data sources available, working in a fast-paced, innovation-driven environment that combines the agility of a startup with the stability of a global leader.

If you're passionate about building state-of-the-art systems, solving complex engineering problems, and working with a great team to deliver real impact wed love to hear from you.



Key Responsibilities
Design, architect, and implement a complex AI-powered security product
Develop and optimize scalable, reliable, and high-performance data pipelines, APIs, and cloud services
Integrate AI models and in-house agents into a robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment

we are looking for a Software Engineer to join our AI Applications team.
The AI applications team is working as an end to end value stream function, delivering product solutions from the very beginning of an idea towards the final user experience, where the main expertise is around products that require AI abilities.
You will be responsible for developing, iterating, and maintaining AI based user experiences on a variety of destinations on the platform. You will be a part of a multidisciplinary team of Product engineers, AI researchers, data scientists and Machine learning (ML) Engineers, you will work with the most recent AI tools and abilities in the industry, and will take a key role in shaping how those will make an impact on customers.
Responsibilities:
Collaborate with design, front-end, and ML engineers to develop and implement new features for platform.
Build scalable services and applications to support large-scale platform.
Write clean, efficient, and well-documented code. Actively participate in code reviews and quality assurance processes.
Work in a cross-functional team, closely collaborating with front-end, back-end, and AI developers to ensure seamless integration and optimal performance of front-end features.
Identify opportunities to improve our architecture and tooling across multiple levels of the stack.
Continuously research and explore new technologies, tools, and techniques to stay up-to-date with the latest trends and best practices.

Were looking for a Data scientist Expert to join us and spread our power. As a Data scientist you will be responsible for driving research and development initiatives to advance Artificial Intelligence and technologies. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the companys security posture.
WHAT YOULL DO
Lead an applied research for AI-driven features in the platform
Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
Collaborate with engineering teams to design, build, and maintain production pipelines
Work closely with the Security Research and Product teams to define research goals
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability.

Required Senior Data Scientist, Recommender Systems
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Machine learning and AI, and especially recommender systems are at the center of our strategy and are imperative to our continuous success.
What will you be responsible for?
Solving complex business problems using ML and data-driven techniques, using a wide range of both classic and relevant SOTA algorithms and technologies, especially Recommender Systems challenges with high volumes of data. You'll be our Recommender Systems expert.
Working against business stakeholders to identify, well-define, and prioritize business problems to be solved through DS\ML pipelines.
Developing data-driven recommendation systems that directly increase user engagement, revenue growth, and customer retention.
Defining success criteria for each goal, building and owning the monitoring flow and maintenance plan for each solution.
Collaborating closely with a cross-functional Data Science team consisting of ML engineers, product managers, and data engineers.
Continuously self-learning, growing professionally, and mentoring younger team members.
Heres what we need from you:
On a personal level:
Collaboration: You are a true team player who thrives in cross-functional teamwork, working seamlessly with other teams while leading efforts within the data science team in a collaborative manner.
Independence & Ownership: You take initiative, pick up tasks quickly, and are capable of driving projects independently from ideation through to implementation. You plan, execute, and deliver End-to-End results without requiring constant supervision.
Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment, and can operate at the strategic level and the micro-detail to get things done.
Results-driven. You have a can-do approach, drive to exceed your goals
Business-oriented. You are interested in our business, products, and services and know how to translate business needs into ML solutions.
Organized. You can manage highly interdependent, multifaceted projects and keep various work streams on track - even those with many moving parts.
Story Teller. You have good communication skills and are confident in presenting your results and ideas clearly and concisely.