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We are looking for a highly technical and hands-on AI Transformation Lead to drive the implementation and adoption of AI across the organization.
This is a builder role, not a strategy-only position. You will be responsible for identifying high-impact opportunities, designing and implementing AI-powered solutions, and integrating them into our existing systems and workflows across R&D, Support, Sales, and Operations.
The ideal candidate combines a strong engineering background with the ability to translate business needs into scalable, production-ready solutions - and ensure they are actually adopted and deliver measurable impact.
Role Mission:
Lead the companys AI transformation end-to-end through practical implementation - building, integrating, and scaling AI-driven workflows and internal tools that improve efficiency, quality, and business performance across all departments.
What Youll Do:
Build & Implement AI Solutions (Core Focus):
Design, build, and deploy AI-powered workflows, automations, and internal tools
Develop rapid POCs and evolve them into production-ready solutions
Work hands-on with LLMs, APIs, and automation frameworks
Ensure solutions are scalable, maintainable, and aligned with system architecture
Integrate with Systems & Architecture:
Integrate AI solutions into existing platforms (CRM, support systems, internal tools, data flows)
Design robust integrations using APIs and orchestration layers
Ensure alignment with engineering standards, security, and data integrity
Drive Cross-Company Impact:
Identify high-value use cases across R&D, Support, Sales, Domain, and Operations
Translate business workflows into efficient, AI-driven processes
Partner with stakeholders to ensure solutions solve real problems
Own Adoption & Impact:
Ensure solutions are used, not just built
Define and track KPIs (efficiency, time saved, quality improvements, adoption rates)
Continuously iterate based on feedback and real-world usage
Enable & Standardize:
Establish best practices for AI usage across the company
Guide teams on how to effectively use AI tools in their daily work
Act as the internal expert for AI workflows, tools, and capabilities
What Success Looks Like (First 3-6 Months):
Delivered multiple production-level AI solutions with measurable business impact
Reduced manual work and improved efficiency across at least 2-3 departments
Successfully integrated AI workflows into core systems and daily operations
Achieved strong adoption across teams (beyond experimentation).

As a Machine Learning Scientist, you will design, build, and deploy advanced models that guide pricing and promotional optimization across us. You will work closely with other scientists, engineers, analysts, and product teams to translate complex business challenges into scalable, data-driven solutions that deliver measurable impact.

Key Job Responsibilities and Duties:

Develop and deploy models for causal inference, uplift estimation, and optimization to measure and maximize the incremental effect of price and promotion decisions.

Design and improve dynamic pricing algorithms that balance competitiveness, conversion, and profitability.

Contribute to the development of platform capabilities, enhancing experimentation, simulation, and decision-support capabilities.

Partner with product and business stakeholders to translate scientific insights into actionable strategies.

Stay up to date with the latest advances in machine learning, causal modeling, and pricing optimization, and apply them pragmatically at scale.

Designs and develops integrated circuits. Oversees definition, design, verification, and documentation for ASIC development. Determines architecture design, logic design, and system simulation. Defines module interfaces/formats for simulation. Contributes to the development of multidimensional designs involving the layout of complex integrated circuits. Evaluates all aspects of the process flow from high-level design to synthesis, place and route, and timing and power use. Analyzes equipment to establish operation data, conducts experimental tests, and evaluates results. May also review vendor capability to support development.
- Knowledge: Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways.
Strong project management skills
Leads design and delivery of new
products/process
Functional breadth and depth, plus expert in complementary fields
Applies broad concepts and theories to achieve innovative and effective solutions to complex problems - Job Complexity / Contribution : Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise.
Will champion significant projects, programs and business initiatives using demonstrated creativity and ingenuity
Team leader
Leads major projects
Influences or impacts others'
priorities, decisions or activities
Escalation point for complex issues
Coaches and mentors other junior team members - Supervision : Incumbents provide a leadership role for the work group through knowledge in his/her area of specialization. Generally free to determine work priorities based on general direction from managers.
Determines methods and procedures on new assignments
Consults with management on long-range goals
Determines own priorities, both tactical and strategic

Customer Service
An Israeli CRM and Business Tech company undergoing a rapid transition to an AI-first approach across its products, services, and internal processes.
We are looking for a hands-on professional who will take ownership of customer-facing AI solutions, become a central point of contact for key customers, and work closely with our product and AI development efforts.
This is a cross-functional role with real impact on how the company operates and grows over the coming years.
Responsibilities:
Own and manage ongoing relationships with customers, gradually taking on a central Customer Success role
Analyze complex business needs and translate them into CRM and AI-based solutions
Define and design AI agents, automated processes, and advanced workflows
Lead and support solution implementation with customers, including hands-on involvement when needed
Work closely with development and implementation teams
Identify problems, propose solutions, and take full ownership from definition through execution
Continuously improve internal workflows and delivery processes using AI
What we offer:
A key role with real influence on the companys direction
Direct collaboration with the CEO and a high-quality core team
An opportunity to help shape the next generation of CRM and AI-driven solutions
A flexible, non-hierarchical work environment that values initiative and impact.

As a Senior Machine Learning Scientist, you will work closely with engineers and product to design, develop, evaluate and deploy Gen AI powered solutions for scalable, customer-facing applications. Your work will focus on applying state-of-the-art agentic capabilities and driving business impact based on rigorous evaluations and experimentation.



Key Job Responsibilities and Duties:

Design end-to-end agentic systems, delivering high-quality, performant, and efficient solutions to production

Build agentic solutions for different tasks and use cases using state-of-the-art techniques

Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

Pioneer and promote best practices and adoption of new technology in GenAI application development

Lead and mentor other team members, providing technical guidance and timely feedback to develop the team and motivate them to achieve their goals.

Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions.

Conduct deep data analysis to evaluate model performance, label quality, features exploration.

Work closely with ML engineers to ensure and improve the solutions latency/throughput meets product requirements and ensure deployment of your model to production.

We are seeking an Information Systems Project Manager to join its data & AI Division. The role combines end-to-end project management with hands-on system ownership, including configuration, testing, troubleshooting, and ongoing support. The position requires strong business understanding, technical orientation, and the ability to translate business needs into working technological solutions. Responsibilities
* Lead end-to-end information systems projects, from requirements to go-live and post-implementation support
* Build and manage project plans, timelines, budgets, and deliverables
* Own and support business systems (configuration, testing, issue resolution, ongoing maintenance)
* Manage integrations and data flows between systems (APIs, ETL, SFTP, web services)
* Work with internal stakeholders and external vendors, including SLA and delivery management
* Lead QA /UAT processes and ensure system readiness for production
* Use AI tools to improve efficiency, analysis, documentation, and automation
* Prepare status reports and support steering committees and risk management
* Support user training, adoption, and organizational change