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Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.
The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.
Work location: hybrid from Tel Aviv
Curious about what it's really like to work?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter

Were looking for an Account Manager who will manage a portfolio of our strategic customers in Israel from the onboarding stage to assuring satisfaction while identifying business needs in the customers AWS environment.
Work location: hybrid from Tel Aviv
Curious about what it's really like to work?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Identify Cost Optimization, upsell, cross-sell, and renewal opportunities, and the need for a Dedicated DevOps or FinOps service.
Oversee a portfolio of assigned customers, develop new business from existing clients, and meet sales goals.
Onboard new customers and guide them through onboarding, ensuring a smooth transition to our product or service. Provide training and resources to help them get started effectively.
Act as the primary point of contact for assigned customer accounts. Develop a deep understanding of their business needs and objectives, and proactively engage with them to understand their evolving needs, challenges, and goals.
Gather feedback from customers regarding their experiences and needs. Relay this feedback to internal teams for continuous improvement.
Encourage satisfied customers to become advocates by participating in case studies, testimonials, or referrals.
Maintain and develop strategic vendor relations with AWS.
Regularly attend business events and conferences to promote and educate prospective clients on our benefits.

We seek an Account Executive to drive our business growth in the Israeli territory, focusing on Greenfield accounts while delivering an outstanding customer experience. You will own the full sales cycle, from prospecting to close, and act as a trusted advisor connecting high-growth startups with the DevOps, FinOps, and GenAI expertise they need to scale.
Work location: hybrid from Tel Aviv
Curious about what it's really like to work?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Develop and execute targeted territory plans to achieve or exceed revenue, growth, and margin targets
Manage all phases of the business development cycle, including proposal negotiations, statements of work (SoWs), and contract finalization
Prospect new customers and communicate regularly with AWS representatives to co-sell and identify joint opportunities
Maintain and grow strategic vendor relationships with AWS
Articulate our value proposition and competitive differentiation to technical and business stakeholders
Attend industry events and meetups to promote our and educate prospective clients
Collaborate cross-functionally with Marketing, Operations, Delivery, and Solutions Architects
Leverage AI-powered sales tools to research prospects, personalize outreach, and derive actionable pipeline insights
Commit to regular business travel, locally and internationally

We are looking for a detail-oriented and motivated Bookkeeper to join our Finance team.

This is an excellent opportunity to gain hands-on experience, develop professionally, and become part of a dynamic company operating at the intersection of technology, data, and creative.

Responsibilities
What Youll Be Doing
Process and record supplier and customer invoices accurately and on time.
Perform bank and credit card reconciliations.
Support accounts payable and accounts receivable processes.
Maintain accurate financial records and documentation.
Work closely with internal teams, suppliers, and customers.
Support the Finance team with ongoing financial and administrative tasks.

As a Staff Software Engineer, you will serve as a technical authority and play a pivotal role in scaling our core platform. Your focus will span architecture, security research, and engineering excellence:

Lead & Architect: Design, build, and scale high-performance software while driving architectural best practices across the R&D organization.
Security & AI Innovation: Drive deep-dive research into cloud, SaaS ecosystems, and AI agents to build proactive detection models, mitigation strategies, and threat intelligence.
Engineering Excellence: Elevate code quality, testing standards, system monitoring, and documentation across teams.
Cross-Functional Ownership: Partner closely with Product and R&D to translate complex security requirements into scalable technical solutions.
Scale & Optimize: Identify and resolve systemic performance bottlenecks and architectural challenges.
Mentorship & Leadership: Act as a technical mentor, driving engineering standards and fostering a strong knowledge-sharing culture.

Were looking for a highly motivated, data-driven Senior Retargeting campaign Manager to lead user re-engagement strategies across a growing portfolio of clients. In this role, youll combine data, audience insights, creative strategy, and AI-driven optimization to improve campaign performance, increase LTV, and drive strong results. Youll also lead cross-team initiatives to improve and scale our retargeting products and technology.

Key Responsibilities
Retargeting Campaign Management: performance monitoring, budget allocation, targeting, high-volume mobile native retargeting advertisers, ensuring optimal return on ad spend (ROAS).
Cross-Functional ownership: Lead 1 or more strategic cross-department projects, collaborating across teams to enhance company-wide marketing capabilities and technology.
Audience & Campaign Optimization: Analyze complex audience segments on an ongoing basis to build hyper-targeted re-engagement strategies; continuously optimize pre- and post-install/event metrics using proprietary tools, and dashboards.
AI & Automation Innovation: Leverage a proven track record of implementing AI toolsets and machine learning frameworks for campaign management and creative optimization.
Product & Data Science Collaboration: Partner with product, data science, and engineering teams to extract deeper campaign insights, refine predictive modeling, and improve internal retargeting infrastructure.
Strategic Client Alignment: Translate performance data into actionable growth strategies, delivering high-level insights and recommendations to client-facing teams.

As a Senior Account Manager, you'll own a portfolio of our top strategic clients end-to-end - from onboarding through QBRs and growth planning. You'll drive upsells, uncover expansion opportunities, and turn account insight into revenue, working alongside our global Growth team (US, EMEA, APAC) and closely with Product, Sales, and BI.

This is a senior role with real scope: you'll own the highest-value accounts in the book, set the playbook other CSMs follow, and have a direct line to shaping how the Growth org scales.

Responsibilities:
Revenue Growth - Grow and scale strategic client budgets through upsell and cross-sell.
Client Communication - Build long-term client relationships through proactive, high-value engagement and in-person visits.
Collaboration - Partner with product and sales to align on client needs and growth opportunities.
Strategic Leadership - Drive cross-team initiatives using AI and data to shape client strategy.
Reporting & Analysis - Turn performance data into insights that drive client decisions.
Team Standards - Build and scale playbooks that raise the bar for account management.

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.

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.

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
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
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
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.