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We are looking for an experienced and hands-on Technical Support & Customer Service Manager to lead and scale our support operations in a growing B2B SaaS fintech environment.
This role combines team leadership, operational excellence, customer experience ownership, and cross-functional collaboration with Product, R&D, Domain, and Customer Success teams.
The ideal candidate is highly process-oriented, customer-centric, technically capable, and experienced in managing support operations within fast-paced product companies.
Key Responsibilities:
Lead and manage the Technical Support & Customer Service team
Build and improve support processes, workflows, SLAs, and escalation management
Monitor KPIs, customer satisfaction, ticket queues, and operational performance
Collaborate closely with Product, R&D, Domain, CSM, and Sales teams
Own support readiness for product releases and major product changes
Drive continuous improvement initiatives and service excellence standards
Improve knowledge management, documentation, and internal enablement processes
Support system optimization and automation initiatives across support operations
Handle escalated and sensitive customer cases with professionalism and ownership.

A leading fintech information provider, delivering digital solutions in labor law, taxation, finance, welfare, and pensions.
We are looking for a Junior Product Support Specialist to deliver advanced assistance for our software products
Key Responsibilities:
Manage client onboarding and ensure smooth, effective use
Investigate and resolve first and second-level technical incidents
Perform in-depth troubleshooting and identify underlying issues
Support customers through phone, email, and other communication channels
Work with R&D on system-level problems
This is a full-time position, 9:00-18:00.
The role is hybrid, offering flexible and convenient working hours.
Our offices are located in central Israel.

We are looking for an Entry-level Customer Support Specialist to join our team. The ideal candidate will be responsible for providing exceptional customer service and support to our clients.
Responsibilities:
Respond to customer inquiries via phone, email, and chat in a timely and professional manner
Resolve customer issues and escalate complex cases to the appropriate team
Assist customers with account setup, troubleshooting, and general inquiries
Maintain accurate records of customer interactions and transactions
Collaborate with cross-functional teams to improve the overall customer experience.

As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.


Key Job Responsibilities and Duties:

Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.

Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.

Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.

Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.

Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

As a Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.


Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions.

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

A leading fintech company providing digital knowledge solutions for finance, payroll, tax and pension professionals, is looking for a Sales Operations Coordinator to join our Sales team.
In this position, you will:
Own and maintain the CRM system, ensure accurate, updated and reliable sales data.
Support daily sales operations through reports, process tracking, performance insights and analyses.
Manage leads, renewals and customer growth opportunities across the sales cycle
provide ongoing operational support to the Sales team and management.
The position is suitable for both full-time employment and a part-time student role.
The role is hybrid, with flexible working hours.
Our offices are located in central Israel.

We are looking for an experienced Product Manager to join our product team and help drive the development of our platform. In this role, you will lead product initiatives end-to-end - from problem discovery and product definition to delivery and continuous improvement.
A significant part of the role involves working on integrations with external systems, defining API-based capabilities, and enabling seamless data exchange between us and third-party services.
You will work closely with engineering, design, data, and business stakeholders to build scalable product capabilities that solve real problems for accounting professionals and deliver measurable business impact.
This role requires strong product thinking, analytical capabilities, and the ability to translate complex business and technical requirements into clear, well-defined product solutions.
Key Responsibilities:
Own product initiatives from discovery through delivery and continuous improvement
Work closely with engineering teams to define product requirements, user stories, KPIs, and acceptance criteria
Define API-based capabilities and support integration flows between external systems, enabling seamless data exchange between us and third-party services
Collaborate with design to deliver clear, user-centered product solutions
Define product roadmaps aligned with company strategy
Analyze product usage, funnels, and customer feedback to drive data-informed decisions
Use data extensively to identify opportunities, validate hypotheses, and guide prioritization
Work cross-functionally with customer success, support, and business teams
Lead feature prioritization and backlog management based on impact and data
Contribute to the evolution of our platform and modular product capabilities
Utilize modern AI tools as part of daily product work, including research, analysis, documentation, ideation, and experimentation (including A/B testing and validation loops)

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.


Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions.

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.