לוח משרות דרושים

Required Product Marketing Manager
About the position
As we continue to grow and gain traction in the banking industry, we are looking for a qualified Product Marketing Manager to join our Product team.
As product marketing manager, you will be at the forefront of driving the success of our products. Leveraging your expertise in product marketing and strategic thinking, you will play a pivotal role in shaping our product messaging, positioning, and go-to-market strategies. With a focus on understanding our target audience and market dynamics, you will collaborate closely with cross-functional teams to ensure alignment and drive impactful market releases and product launches.
Responsibilities
Product Positioning and Messaging: Develop compelling value propositions and messaging that will resonate with our target audience. Clearly articulate the unique benefits and features of our products to effectively communicate value to customers and prospects alike.
Go-to-Market Strategy: Partner with cross-functional stakeholders (Product, Sales, Customer Success, Marketing) to define and execute go-to-market plans for new products launches and quarterly market releases, including research, messaging, communication plans, and pricing.
Content Development: Create engaging and high-quality content that communicates and promotes our product offering and differentiated value, including website content, product datasheets, webinars, case studies, email outreach, newsletters, product videos, product presentations, etc.

In this role, you will work closely with data scientists, analysts, and other cross-functional teams to understand their data needs and requirements. You will also be responsible for ensuring that data is easily accessible and can be used to support data-driven decision making.

Location: Ramat Gan, Hybrid Model

What will you do?

Design, build, and maintain data pipelines to extract, transform, and load data from various sources, including databases, APIs, and flat files
Enhance our data warehouse system to dynamically support multiple analytics use cases
Reimplement and productize scientific computational methods
Implement data governance policies and procedures to ensure data quality, security, and privacy
Collaborate with data scientists and other cross-functional teams to understand their data needs and requirements
Develop and maintain documentation for data pipelines, processes, and systems

As a DevOps Engineer, you will join our data & engineering team and design and manage scalable, cloud-based infrastructure focused on big data and machine learning. You will ensure high-scale production environments are reliable, secure, and efficient, supporting seamless ML/AI deployments.

What will you do?

Design, build, and maintain scalable and reliable infrastructure for our big data applications
Automate the deployment and scaling of our applications using Kubernetes and related technologies
Implement and maintain security and compliance protocols
Monitor and troubleshoot infrastructure and applications
Collaborate with product teams to define and implement infrastructure requirements
Stay up-to-date with the latest industry trends and technologies
Manage and optimize large GPU clusters

We are looking for a strategic and driven Product Manager to lead the development and evolution of our Multi-Channel Client Framework, a critical component of the Engage platform.
This framework enables banks to deliver seamless, data-driven insights and tracking to their customers through various digital channels. You will own the end-to-end product lifecycle for our multi-flavor solution, including API, Mobile SDKs (iOS and Android), Web SDK, and Hosted UI options.
As a Product Manager, you will collaborate with cross-functional teams and engage with diverse stakeholders, including bank IT and marketing leaders, digital app developers, and end-users. Your ability to balance technical requirements, UX design, and strategic business objectives will be critical to delivering exceptional digital banking experiences.
Responsibilities
Product Ownership: Define vision, strategy, and roadmap for the Multi-Channel Client Framework, aligning with Engage platform and company goals. Prioritize backlog, balancing short-term needs with long-term strategy.
Stakeholder Management: Ensure seamless UX and intuitive design for Bank Users (B2C), provide technical documentation and integration tools for Digital App Developers, align strategy with business objectives for Bank Managers (B2B), and address security, scalability, and compliance for IT Managers. Collaborate with all stakeholders to drive engagement, growth, and technical success.
Cross-Functional Collaboration: Partner with engineering, design, and QA teams to deliver features across API, Mobile SDK, Web SDK, and Hosted UI. Collaborate with marketing and sales for go-to-market strategies and client success.
Client Engagement: Serve as primary interface for Tier-1 bank IT and marketing stakeholders, presenting roadmaps and addressing inquiries. Conduct demos, workshops, and presentations.
Market and User Research: Stay updated on industry trends, client needs, and competitors to maintain market leadership. Gather customer feedback to guide product enhancements.
Documentation and Enablement: Create product documentation (user guides, API specs, SDK guidelines). Provide training and thought leadership on framework capabilities and best practices.

We are seeking a highly motivated and experienced LLM/ML Agentic AI Researcher to lead the technical development of our agentic AI interpretation framework. This hands-on role involves designing, building, and optimizing AI agents that interpret complex biological data and generate coherent, insightful narratives explaining therapeutic mechanisms.

You will be at the forefront of developing a sophisticated scientific reasoning system that leverages Large Language Models (LLMs) to provide structured, biologically-grounded explanations. Collaborating closely with immunologists, machine learning researchers, and technical leadership, you'll shape how we derive insights at a systems level, pushing the boundaries of AI in biology.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Architect & Develop: Design, implement, and iterate on core AI agents using LLMs and Chain-of-Thought reasoning for creating a scientific reasoning system.
Integrate Biological Knowledge: Effectively access and incorporate biological databases (internal and external databases as tools) ensuring model interpretations are rooted in real biological mechanisms.
Solve Complex NLP Challenges: Innovate solutions to synthesize multiple information sources into cohesive, scientifically robust narratives. Structure advanced prompts and refine LLM interactions to achieve narrative coherence and clarity.
Robustness & Testing: Produce clean, well-documented, maintainable Python code with clear testing protocols, ensuring reliability and accuracy of the agent outputs.
Stay Ahead of Trends: Continuously explore emerging LLM technologies, APIs, and best practices to enhance our interpretation framework.
Effective Collaboration & Communication: Clearly articulate technical concepts to both technical and non-technical stakeholders, effectively integrate feedback from immunologists and researchers, and iterate rapidly to refine the interpretation framework.

Required Product Designer
About the position
We are revolutionizing the way financial institutions engage with their customers by delivering personalized, actionable insights that empower users to achieve their financial goals. As a Product Designer, you will play a pivotal role in shaping intuitive and impactful user experiences across our suite of products. Youll work at the intersection of design, technology, and finance, transforming complex challenges into user-friendly solutions.
Responsibilities
Lead the end-to-end design process for core product areas, from concept to delivery.
Create user flows, wireframes, prototypes, and high-fidelity mockups that enhance the customer experience.
Create detailed final design specs that inspire accurate developer builds
Collaborate with product managers, developers, and stakeholders to align design strategies and ensure seamless implementation.
Advocate for user-first design principles, driving innovation in B2B2C financial experiences.
Maintain & add to the existing design system
Facilitate ideation and discovery workshops to refine product ideas and solutions.
Conduct user research and usability testing to inform data-driven design decisions.

This role is designed for a senior technical leader who may focus on hands-on technical innovation or combine this with team leadership, depending on experience and career goals.

As Deep Learning Lead, you will take ownership of developing advanced single-cell representation models, driving our mission to create the world's leading foundation model of the immune system.

This role places you at the forefront of deep learning innovation, tackling complex challenges in modeling multimodal and time-series data from hundreds of millions of cells. You will design and refine transformer-based architectures and pre-trained foundation models to integrate diverse, high-dimensional datasets, unlocking insights for drug development and clinical trials.

You will lead the full model development lifecycle, from research and experimentation to scalable, production-ready deployment. Collaborating with a multidisciplinary team of experts, you will shape the technical roadmap, mentor team members, and foster a culture of innovation and excellence. This role offers a unique opportunity to develop cutting edge models tailored for the unique domain and make an impact on the pharma development domain bringing new drugs faster to the bedside.

Location: Ramat Gan, Israel (hybrid role)

What will you do?

Spearhead the architectural design and implementation of cutting-edge transformer models, pushing the boundaries of performance and efficiency
Lead and mentor a team of ML researchers and engineers, fostering a collaborative and innovative environment
Collaborate closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver impactful solutions
Contribute to the development of best practices and standards for transformer model development and deployment