דרושים » מוצר » Data/ML Product Owner

'we are looking for a Senior Product Owner (PO) to take significant part of the
development of the account domain on top of AWS.
The Accounts domain services are responsible for providing all the essential infrastructure
capabilities required in our companys modern PAM ecosystem
our companys Product Owner (PO), a member of the R&D development team responsible filling the gap between the market requirements and the solution that determines how to implement these requirements in our products. Using comprehensive business and technical knowledge, the PO accompanies the entire development process starting from the requirements definitions, planning phase, through the development and testing process to successful deployment of our Service. The PO works closely with the R&D Team, Product Management, Security Researchers, Professional Services and Technical Writers.
Strong product analysis abilities. Transfer business requirements and produce functional requirements
Own the product backlog - Deconstruct large features to smaller pieces, define and prioritize the pieces that can compose a releasable product
Be the central focal point for all parties outside of R&D and work with external stakeholders in Product, Customer success, technical writers and across R&D.
Work closely with Product/TL and architect to be able to provide excellent and clear requirements to the team
Utilize deep knowledge of the product and its use by internal and external customers to work together with rest of R&D, represent the customer needs and answer any functional questions.

The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for a passionate MLOps Engineer to join our team of seasoned ML engineers.
You will play a critical role in building a multi-tenant PaaS for ML pipelines and inference, ensuring scalability, reliability, and security. You will take ownership of critical platform components, drive best practices, and mentor other engineers.
Design, build, and maintain infrastructure-as-code using Python and AWS services for deployment.
Architect, build, and manage Docker-based services.
Lead the design and implementation of solutions using AWS services such as SageMaker, Lambda, Step Functions, SageMaker Pipelines, Batch Transform, and Real-Time Endpoints.
Enhance and maintain CI/CD pipelines (Jenkins and shared libraries).
Ensure multi-tenant security and tenant isolation across the platform.
Define and implement observability and monitoring practices with Datadog and other tools.
Collaborate closely with Data Scientists, Data engineers, MLEs, Product Managers, and other engineering teams to integrate ML workflows.
Mentor junior engineers and promote engineering best practices.

we are looking for an experienced and highly motivated Development Group Manager to lead our AI Agents Development Group under the Data, AI & Research department.
This role offers an opportunity to drive innovation and spearhead cutting-edge conversational and Agentic technologies within a global leader in security. You will be responsible for recruiting and managing a world-class team of AI engineers and architects, guiding the development of Agentic and conversational solutions that enhance our companys products and services. 
Leading and mentoring several teams of AI engineers, fostering their technical excellence and innovation. 
Overseeing the full AI solution lifecycle, including data acquisition, model selection, fine-tuning and usage, evaluation, and continuous improvement. 
Implementing a data-driven decision-making approach to ensure AI solutions align with business goals and deliver measurable impact. 
Establishing numerical quality measurements to track and improve AI model performance and effectiveness, as well as adoption and satisfaction. 
Collaborating with product management and the field to define the roadmap for Agentic AI capabilities and ensuring alignment with business objectives. 
Improving and complying with best practices for AI-related governance, security, and ethical principles. 

We are seeking a hands-on Tech Lead to be the first technical hire for our newly formed ML team. This is a unique ground-floor opportunity to build something from scratch and have direct influence on the technical direction of our ML capabilities. This role combines deep technical expertise with foundational leadership, requiring someone who can architect solutions, establish technical standards, and lay the groundwork for future team growth. As our founding ML tech lead, you'll have the opportunity to shape our technology choices, define our technical practices, and build the fundamental skill set that will guide the team as we scale.
What youll do: 
Shape the technical foundation: As our first ML hands on hire, choose and establish the team's core technology stack, frameworks, and development practices together with the ML leader
Build from the ground up: Design and implement our initial ML infrastructure, data pipelines, and model deployment frameworks
Define technical standards: Establish coding standards, best practices, and processes that will guide future team members
Hands-on development: Lead by example through direct development and deployment of ML models and data science solutions
Partner with stakeholders: Work closely with business teams to identify initial ML opportunities and build foundational proof-of-concept models
Establish MLOps practices: Set up our model development, testing, deployment, and monitoring workflows from scratch
Recruit and onboard: As the team grows, play a key role in technical interviews and help onboard new ML engineers and data scientists
Create team culture: Help establish the team's technical culture, learning practices, and collaboration methods
Technology evaluation: Research and select the tools, platforms, and technologies that will form our ML tech stack
Document and share knowledge: Create foundational documentation and knowledge-sharing practices for the growing team.

Required Sr Staff AI Scientist, Fintech Innovation
Job Overview
Join an amazing team driving AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Senior Staff role is a blend of leading the full AI/ML development cycle and acting as a Data Science Architect, responsible for all engineering aspects of the work to deliver excellent, high-quality, and operationally sound AI systems.
Responsibilities
System Architecture & Operational Excellence:
Deliver robust AI/ML system designs that meet customer and systems requirements, including latency, throughput, cost, and maintenance.
Working with partners and architects, define the vision and align on architecture for integration, ensuring excellent deliveries in terms of quality, stability, security, compliance, and operational excellence.
Drive cross-functional end-to-end design architecture.
Lead conversations with partner architects to influence AI-driven product design and strategy
AI/ML Development & Modeling:
Lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, and insight generation.
Apply advanced, predictive statistical modeling and testing to extract data-driven insights from complex, large-scale data sources (relational and non-relational).
Review complex and challenging work to help simplify and execute with speed.
Strategy & Consultation:
Provide guidance to business stakeholders on how best to harness available data and fully exploit the insights revealed through the research.
Drive the design and creation of reusable AI capabilities.

As a Data Science Team Leader at our company, you will lead a high-performing team developing AI/ML solutions that secure the digital worlds most sensitive assets. Youll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, youll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. Youll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across our companys identity security portfolio.
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

Required Principal AI Scientist, Fintech Innovation Architecture
Job Overview
Join an amazing team driving cutting-edge AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Principal role requires an exceptional blend of deep research, architectural mastery, and a powerful innovation mindset to pioneer new capabilities and deliver high-quality, end-to-end AI systems that shape the product direction for the next 510 years.
Responsibilities
System Architecture & Ownership
Own projects from conception to production, collaborating globally with partners to deliver complex projects.
Define the vision and direction for end-to-end solutions, serving as a thought leader on execution that brings immediate value and solves for the long-term vision.
Deliver robust, high-performance AI/ML system designs that meet critical requirements (latency, throughput, cost, maintenance).
Drive cross-functional end-to-end design architecture.
AI/ML Development & Leadership:
Lead the full cycle of big data exploration, including hypothesis formulation, advanced predictive statistical modeling, and algorithm development across complex, large-scale data.
Mentor existing Data Science teams, influence AI-driven product design and strategy with partner architects, and assist in the definition of roles and training needs.
Innovation & Research Strategy
Pioneer innovative Proof of Concepts (POCs) to show the way for where our Fintech products should go over the next 510 years, focusing on high-impact solutions like Explainable AI, Homomorphic Encryption, or advanced Behavioral Analytics.
Apply research to create high-impact solutions and represent the teams innovation to the wider organization.
Act as a Consultative Business Facilitator, exploiting revealed insights and providing entrepreneurial guidance for business stakeholders.

Medison offers hope to patients suffering from rare and severe diseases by forming partnerships with emerging biotech companies to accelerate access to highly innovative therapies in international markets. As the creator and leader of the global partnership category in the pharma industry, we strive to be Always Ahead and work relentlessly to bring therapy to patients in need, no matter where they live. Our values are at the core of every action we take, and we are committed to going above and beyond to benefit the patients we serve. We are a dynamic, fast-paced company operating in over 25 countries on 5 continents. We are looking for out-of-the-box thinkers, people who are passionate, caring, agile, and adaptive, to join us on our mission. If you are looking to make a difference in people's lives, we invite you to join us! The Senior Product Manager will be responsible for the complete management of the commercial aspects of the product, including strategy, budgeting, business planning, and execution, as well as ensuring it meets its targets. Working closely with overseas partners, having an in-depth understanding of the field, and KOL's. The role combines fieldwork and office-based work, as well as cross-country and overseas travel when necessary.

Responsibilities:

* Collect in-field, cross-functional, and market analysis data and synthesize insights and stakeholders’ behavior and drivers
* Work with a cross-functional team to build a strategic business cross-functional plan based on strategic objectives and define KPIs
* Build a tactical plan, including innovative tactics and omni-channel plan to meet strategic objectives
* Execute tactical plan according to KPIs, objectives, and timelines
* Prepare & execute a budget plan
* Build and manage a territory plan
* Develop marketing material for in-field use in collaboration with the partner and according to local regulatory requirements
* Working with the medical manager to analyze scientific data and present to stakeholders, Troubleshoot, and handle objections.
* Work in accordance with the company code of ethics and guidelines laid down by the regulatory department.
* Work with the internal team to find solutions to get things done in a simplified way.
* Business meetings with overseas partners, training sessions, conferences, etc.
* Participation in conferences in Israel and abroad according to strategic priorities.

City:
Petah Tikva

We are looking for a Machine Learning Engineer (MLE) to work on building foundational language models and agentic AI systems that empower small and medium-sized businesses (SMBs) in their financial and operational journeys.
In this role, youll work alongside Machine Learning Engineers, AI scientists and product teams to build LLM based solutions for millions of small and medium busniesses around the world, and build foundational models, involving translate breakthrough research into production systems designing, implementing, optimizing cost, latency, serving models that reason, act, and learn across real-world business contexts. Youll build scalable pipelines and infrastructure that drive impact on customers lives with the state-of-the-art AI from prototype to customer impact.
This is a unique opportunity for an engineer who thrives at the intersection of science and production, combining deep technical understanding of AI systems with the rigor and creativity needed to deliver robust, reliable, and high-performing products at scale.
Responsibilities
Implement, optimize, and deploy foundation and agentic models for large-scale use in financial reasoning, decision support, and business automation.
Collaborate with MLE, AI scientists to operationalize research ideas, turning model architectures and training methods into efficient, production-grade implementations.
Design, build, and maintain ML pipelines for data ingestion, preprocessing, training, evaluation, and continuous improvement.
Optimize inference efficiency and model latency, ensuring production systems meet real-time performance requirements.
Contribute to retrieval, memory, and orchestration components that enable agentic reasoning and long-term context management.
Establish best practices for model monitoring, evaluation, and safe deployment, including automated testing and observability in production environments.
Drive applied innovation, bridging the gap between research prototypes and large-scale, reliable business solutions used by millions of customers.

Were looking for a Lead Technical Product Manager with strong technical depth and experience in SaaS to help us build the next generation of media management APIs. You will shape how global brands create, manage, adapt, and distribute digital assets at scale.
Responsibilities:
Define the next generations of our companys services to expand our leadership in image and video management.
Create detailed product requirements for new features, API capabilities, SDK interfaces, and development framework integrations.
Partner closely with other company product groups to evolve and scale the Platform Media Management APIs.
Lead the integration of AI capabilities, including generative media, intelligent automation, and next-generation company AI Agents for developers and enterprise workflows.
Build and maintain a product roadmap aligned with product leadership and the companys executive strategy.
Work directly with customers to improve adoption, understand use cases, and influence roadmap and product direction.
Conduct continuous analysis of customer needs, market trends, and competitive landscape to inform future product decisions.
Define and track key product metrics that guide product success and prioritization.
Collaborate with internal and external R&D stakeholders, Technical Writing, UI/UX, Customer Success, Solutions, Support, and Marketing.
Serve as a core member of the Product team, becoming the subject matter expert and a strong advocate for the company Developer Community.