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The Business Operations Manager plays a crucial role in the operations of our business units. As an operational partner, the BOP ensures that daily operations run smoothly and company-wide initiatives are executed effectively. This role reduces the operational burden on General Managers and Sales Leaders, enabling them to focus on leading their teams and driving revenue.

The day-to-day:
Review and oversee Salesforce pipeline data to keep forecasts accurate and aligned.
Implement and manage Dealhub.
Partner with Account Executives and Customer Success Managers to validate opportunities fields are up to date.
Monitor coverage vs. quota in Salesforce dashboards and flag potential gaps early.
Track renewal opportunities in Salesforce and coordinate with Customer Success Managers to ensure timely execution.
Support priority opportunities (e.g., updating deal status, ensuring approvals are in place) during quarter-end.
Run weekly forecast calls with sales leaders, ensuring consistency in methodology and data.
Collect and structure field feedback on products, pricing, and processes, and share it with leadership in a digestible format.

The perks:
Hybrid, flexible work environment.
Extended private health (including mental) insurance.
Personal and professional development programs.
Occasional Cross company long weekends.

Required Customer-Facing Data Scientist - Demand Forecasting
Demand Forecasting Team
The Demand Forecasting team is at a pivotal, high-growth stage. We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of our Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

You will
You are a solution-oriented professional with expertise in post-sales, software development, and crafting business solutions. A process-driven builder, you thrive on exploring solution development methodologies to deliver optimal results for clients

Responsibilities
Support the Sales team with technical content and call support.
Work with prospects during technical POCs to achieve success.
Design and implement privacy solutions to automate the real-world customer pains.
Maintain a knowledge hub or repository of best practices, resources, and insights (API docs, code examples)
Collaborate with the marketing team to generate demos, case studies, blogs, and videos.
Customer Success Orientation:

Proactive approach to identifying opportunities to deliver value to other customers
Ability to explain complex technical concepts to non-technical audiance

Required Senior ML Engineer
Responsibilities:
Work on our core data and machine learning infrastructure, which is at the heart of our offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.
Who You Are:
A problem solver at heart, you have a passion for excellence, you love to learn but know when its time to deliver and make ends meet. You arent threatened by a complex, dynamic and demanding environment. There is no I in team, is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion.

Join our winning team as a Director of Revenue Operations!
We are looking for a Director of Revenue Operations to lead the end-to-end operations of the companys GTM engine. This is a strategic leadership role that requires a hands on approach, with full ownership of revenue architecture, GTM strategy, and cross-functional alignment across Sales, Marketing, Customer Success, Finance, and Product. The role will drive systematic growth, revenue predictability, operational excellence, and scalable processes in a fast-growing Enterprise B2B SaaS environment.
We are a leading cybersecurity company dedicated to securing remote access for organizations operating in the most critical and sensitive environments, where we are passionate about solving complex security challenges and enabling secure access.
Responsibilities:
Revenue Systems Ownership: Lead Salesforce governance, data hygiene, optimization, and alignment across GTM teams
Revenue Analytics: Own dashboards, reporting, and revenue insights across pipeline, performance, churn, and core SaaS metrics; support executive and board reporting
Forecasting: Drive cross-functional forecasting processes with Sales, Marketing, and Customer Success. Lead GTM meetings to track progress and indicators
Revenue Process Optimization: Identify and eliminate bottlenecks across the revenue lifecycle through scalable automation and process design
GTM Enablement: Define and enforce SOPs and best practices across revenue teams. Own GTM playbook to ensure a systematic approach
Pricing Strategy: Lead pricing structure and governance in partnership with Product and Sales
Cross-Functional Alignment: Ensure seamless collaboration, handoffs, and data consistency across GTM functions
Capacity & Compensation Planning: Lead headcount planning, quota modeling, and commission structures with HR and Sales leadership
Finance Operations Oversight: Oversee core finance operations workflows (billing, collections, expense reimbursement, payroll cycles support)
Revenue Tech Stack: Own GTM and systems integration and scalability.

Required AI consultant
Responsibilities:
As an AI Consultant and a CS team member, you will work at the technological forefront of the data analytics world by helping our customers adopt and realize business value through AI and Machine Learning. As a CSM you will be the customers key strategic advisor and implementer and you will work with senior stakeholders to:
Identify AI opportunities
Frame and size the value and the business impact AI can help customers realize
Drive the implementation of our software and services by collaborating and managing a cross-functional account team
Ongoing account management and commercial success including value realization analysis, Quarterly Business Reviews (QBRs), Pilot process management, etc.,
Gradually develop business-ML expertise and lend this SME towards our customers and our internal product development
Together with the team, you will continuously help our customers achieve their business goals, reinforce the value of our models, and the ease of using our platform.
When our clients are happy because they see the value, so are we!
The ideal candidate will be value-oriented, enjoys working with customers, analytical and consistently looking to improve their skills.

Required Solution Engineer
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, and SciPlay
The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of our Demand Forecasting module.

Required Product Manager
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson,, and SciPlay
What Youll Do:
Define and drive the product vision and strategy for the various features of the platform
Own the roadmap, balancing customer needs, technical capabilities, and long-term growth
Partner closely with engineering and design on discovery, experimentation, and delivery
Champion customer needs and platform-first, user-focused development.

Required Predictive Analytics Solution Engineer
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights::
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson,, and SciPlay
Typical Tasks:
Guide and assist customers in utilizing the platform and implementing AI models.
-Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
Address and resolve technical and data-related issues.
Provide valuable feedback to the product team and collaborate to enhance the product.
Analyze model outputs and explain complex ideas in a clear, understandable manner.
Serve as the primary data and technical contact for clients, understanding and addressing their needs.