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Were looking for a Data Analyst who combines analytical rigor, strong business judgment, and the ability to turn complex data into clear, actionable insights.
This role spans three core areas: marketing analytics for our clients, product analytics for our company, and modeling consumer behavior in AI chats using panel data.
Youll help clients understand marketing effectiveness through attribution, marketing mix modeling, and incrementally analysis. Internally, youll analyze product clickstream data to understand how customers use our company and identify opportunities to improve adoption, engagement, and retention. Alongside this, youll analyze panel and conversational data to understand how people discover brands, explore options, and progress through decision-making journeys in AI chats.
Youll own analytical projects end to end from defining the question and preparing the data to developing analytical models, validating findings, and influencing decisions. This is a hands-on role for someone who can move between business questions, event-level data, and statistical analysis and take ownership before every requirement has been defined.
Responsibilities
Own analytical quality and communication.
Marketing Analyst - Analyze marketing performance on behalf of clients, own attribution and marketing effectiveness analyses, turning measurement into client decisions.
our company Product Analytics - Understand how customers use our product, Guiding product decisions through evidence while Building a reliable foundation for product measurement.
Panel Data & AI-Chat Behavioral Modeling - Analyze how people use AI chats, modeling it using intent taxonomies, behavioral segments, etc. Produce robust, representative insights.

Were looking for a Core Full-Stack Engineer who combines strong product instincts, deep engineering skills, and the ability to move fast without compromising on execution quality.
Youll be a primary technical driver, taking significant product modules from concept through design, architecture, implementation, and production. You wont just implement finished specifications, youll partner with product and design to shape the solution, make technical decisions, and own delivery across the entire stack.
Your work will turn complex, large-scale data into fast, intuitive products for Fortune 500 marketing teams. Youll build across the entire data and application stack-from data ingestion and ETL pipelines to scalable backend services, polished interfaces, and responsive visualizations. This role combines full-stack development with hands-on data engineering, owning how data is collected, transformed, stored, and served to make exploring datasets with billions of records feel effortless.
This is a hands-on role for someone who has driven meaningful product development in a fast-growing startup and is comfortable taking ownership before every requirement has been defined.
Responsibilities
Own complete product modules from concept to production.
Build and own production data pipelines.
Design scalable data models and APIs.
Build fast, polished, data-intensive interfaces.
Drive performance across the entire stack.
Ensure data quality and reliability.
Create reusable product foundations.
Own production reliability and safe delivery.
Lead through hands-on execution.

We are looking for a highly driven Sales Manager Team Lead with proven experience closing deals for user acquisition (UA) solutions in the AdTech and Mobile Marketing industry. If your background is in selling performance-driven DSPs, RTB, or sophisticated mobile advertising networks, this is the ideal role for you.

You will be directly responsible for aggressively expanding our international portfolio of app developers and mobile advertisers, securing high-value, strategic UA budgets, and establishing long-term, profitable partnerships that fuel their user growth and drive our company's meaningful business expansion.

You will also serve as manager of our Sales team, leading and developing the team to hit performance and revenue goals.

What You'll Do:

Develop and manage high-level sales relationships with mobile growth leaders, user acquisition managers, and performance marketing budget holders at international companies.

Manage and lead the Sales team, providing guidance, mentorship, and performance oversight to drive collective and individual success.

Proactively close and negotiate contracts for UA campaigns, focusing on performance metrics like CPI, CPA, and ROAS. This includes defining campaign terms, securing budgets, and articulating the clear business value of our platform.

Build and manage a robust sales pipeline by employing efficient lead generation, proactive outreach, and strategic networking within the mobile app ecosystem.

Identify significant upselling and cross-selling opportunities to expand UA budgets with existing key partners based on successful performance.

Operate effectively in a dynamic, target-driven environment with a relentless focus on exceeding measurable sales and revenue targets.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how we use AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

Were looking for a Senior Media Buyer who combines deep PPC expertise, analytical rigor, and strong commercial judgment to help enterprise brands succeed on ChatGPT Ads.
Youll bring the fundamentals of performance marketing, budget allocation, experimentation, measurement, and optimization, to a new channel where the playbook is still being written. Working directly with enterprise marketing teams, youll own campaign strategy and high-stakes allocation decisions, using our companys technology to analyze and optimize accounts at a scale that would traditionally require a larger team.
Our technology handles much of the analysis and execution. You provide the judgment: what to test, what to scale, what to stop, and how to determine whether it actually worked. Youll be accountable for turning data into decisions and connecting campaign performance to each clients business goals.
Your impact will extend beyond individual accounts. By translating lessons across brands into repeatable strategies and product improvements, youll help shape both our technology and how performance marketing is done on the platform.
What You Will Do
Own and optimize chatGPT Ads accounts with a 7 figures budget.
Work directly with marketing teams at leading Fortune 500 and global brands.
Develop and test new performance marketing tactics for the emerging chat-based advertising channel.
Develop, Design and test novel marketing tactics for chat-based marketing channels.
Utilize our companys proprietary technology to build a high potential account.
Monitor campaign performance, budgets, bids, and ROI on a daily basis.
Analyze data and identify opportunities to improve campaign efficiency and scale results.
Run A/B tests on context-hints, ads, landing pages, and bidding strategies.
Prepare performance reports and communicate key insights and recommendations.
Work closely with creative, marketing, and analytics teams to achieve business goals.
Stay up to date with search advertising trends, platform updates, and industry best practices.
Utilize agentic tools for cutting edge analysis - provide feedback and guide strategy.

Were looking for a Senior Applied AI Engineer who combines deep data science expertise with the engineering skills to turn research into reliable, production-ready products.
Youll be a hands-on technical leader, owning significant AI capabilities from problem definition, academic survey, and system design through research, experimentation, deployment, and continuous improvement. Your work will span classical machine learning, large-scale data analysis, and AI agents that power brand intelligence, market research, and performance marketing.

You should have a track record of driving complex projects, not just contributing to them, and be comfortable making technical decisions, navigating ambiguity, and delivering in a fast-moving startup environment. Youll build systems that Fortune 500 marketing teams rely on to make consequential business decisions.
Responsibilities
Own AI capabilities end to end. Translate business and product needs into well-defined problems, research plans, and technical designs. Take solutions from initial exploration through production deployment and ongoing improvement.
Develop and improve our core algorithms.
Build production-grade AI agents - performance marketing, market research agents, auto-ML agents.
Turn research into maintainable software. Build reusable modules, data pipelines, and services with clear interfaces, automated tests, and robust deployment practices-not just standalone prototypes.
Own quality and performance in production. Monitor system behavior, investigate failure cases, and continuously improve accuracy, reliability, latency, and cost as usage and data volumes grow.
Drive technical decisions and execution. Choose the right approach for each problem, balancing statistical methods, classical ML, and LLM-based systems. Make explicit trade-offs between research depth, delivery speed, and operational complexity.
Provide hands-on technical leadership. Partner with product and engineering to shape priorities, lead technical initiatives, review designs and code, and mentor teammates.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how we use AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

We are looking for a Sales Manager to join our TLV office.description perfectly, dont worry! We would rather see your application than risk missing out on y

What Youll Do:

Exploring new opportunities with international clients.

Negotiating campaign terms and marketing budgets.

Creating your pipeline using lead search.

Own deals end-to-end: from prospecting through campaign launch -

coordinating with Media, Operations, Legal, and Customer Success.

Creating long-terms partnerships and upselling budgets and business

opportunities.

We're looking for a Senior Backend Engineer to help push our AI customer-service agents closer to fully autonomous insurance service. You'd be joining the team behind the agent that talks to real customers every day over email, phone, chat, and SMS - handling policy questions, claims conversations, and verified documents end-to-end, with no human in the loop. This isn't a demo or a copilot. Real customers, real money, real stakes, every day.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Design, build, and own production LLM agent systems end-to-end - deciding how the agent thinks, what it's allowed to do, and how it fails safely
Work on our real-time voice agent, where the hard problems are conversational: interruptions, mid-sentence tool calls, and keeping response times imperceptibly fast
Shape the next generation of our knowledge base - how the agent's knowledge is structured, curated, and served, so answers stay grounded as coverage grows
Ship changes as controlled experiments, measure them against thousands of replayed real conversations on our in-house eval platform, and graduate winners into production
Track cost per conversation across millions of LLM calls and find the wins that cut spend without cutting quality
Own what the model knows and says - the customer context it sees, the limits on what it may reveal, and the guardrails against confident nonsense
Build and operate scalable backend services in TypeScript/Node on Kubernetes/AWS with deep observability - if you ship it, you own it.

We are looking for a Senior Product Manager to join our Business Intelligence and Reporting team in Tel Aviv.

This role will define, shape, and drive reporting capabilities that help regional finance, FP&A, publisher operations, and sales operations make better decisions. You will own the roadmap and day-to-day prioritization for initiatives within your domain, while working with the VP of Product Management and other product managers to secure broader sprint prioritization. You will take work from discovery through rollout, translating business questions into clear requirements, user stories, reporting pipelines, data models, and actionable insights.

This role is well suited to a product manager who is curious, technically fluent, and highly accountable. You will need to step into active conversations quickly, arrange the right meetings, ask direct questions, create clarity from ambiguity, and keep stakeholders and engineering moving toward delivery.

What You Will Do

Partner with regional finance, FP&A, publisher operations, and sales operations to understand business needs, workflows, pain points, and decision requirements.

Own and maintain the BI and reporting roadmap for your domain, balancing business value, technical feasibility, dependencies, and delivery capacity.

Prioritize tasks and initiatives within your area, then advocate for their inclusion in team sprints alongside the VP of Product Management and other PMs.

Drive initiatives end to end, from discovery and definition through development, release, adoption, and continuous improvement.

Translate stakeholder needs into clear product requirements, user stories, acceptance criteria, success measures, and delivery plans.

Work with data and engineering teams to build and improve reporting pipelines, data models, BI reports, and supporting data infrastructure.

Lead agile product practices for your initiatives, including backlog refinement, sprint planning, prioritization, demos, and release coordination.

Manage stakeholders across functions and geographies, communicate trade-offs, surface risks, and drive decisions without formal authority.

Validate that reporting is accurate, understandable, usable, and aligned to the business questions it is intended to answer.

Create clear documentation, release communications, and enablement materials to support adoption.

Join our company, a stealth-mode cybersecurity startup building the next generation of Vulnerability Management and Exposure Management.
Were looking for a Senior AI Researcher (Cyber Security) to join our founding team and build AI-powered product capabilities that enable unprecedented effectiveness in vulnerability and asset management.
In this role, youll work hands-on with large-scale security data (assets, vulnerabilities, exposure context) and design production-grade AI systems that turn messy, complex information into clear, actionable insights.
Own the end-to-end AI lifecycle: from feature ideation and initial research, through data exploration and model development, to delivering reliable, production-grade capabilities. Validate solutions in controlled testing and continuously monitor, evaluate, and improve performance in production.
If you love combining real security problems with applied data science and AI driven problem solving, and want to have real impact in a rapidly evolving product - wed love to meet you.

We're looking for a highly analytical and business-oriented FP&A Analyst to join our FP&A team in Tel Aviv.
In this role, you will act as a trusted finance business partner for budget owners and department leaders across the organization. You will be responsible for financial planning, budgeting, forecasting, and performance analysis, while driving process improvements, policy development, and automation initiatives. The ideal candidate combines strong financial acumen with a passion for systems, operational excellence, and leveraging AI to improve efficiency and decision-making.

What You'll Do
Own end-to-end financial planning for assigned departments, including annual budgets, quarterly forecasts, and monthly budget vs. actuals analysis.
Partner closely with budget owners and senior stakeholders to provide financial insights, challenge assumptions, and support data-driven decision-making.
Analyze financial performance, identify key trends, risks, and opportunities, and provide actionable recommendations to management.
Lead monthly and quarterly business reviews, including variance analysis and presentation of key findings.
Develop and maintain financial models, dashboards, KPIs, and management reports to support business planning and performance tracking.
Establish, maintain, and improve company financial policies and governance processes.
Own and continuously enhance the Travel & Entertainment (T&E) process, including policy management, compliance monitoring, reporting, controls, and employee support.
Collaborate with Accounting during month-end and quarter-end close processes to ensure accurate reporting and analysis.
Drive implementation and optimization of FP&A systems, planning tools, and workflow solutions.
Identify opportunities to leverage AI and automation to streamline financial processes, improve reporting, and reduce manual work.
Partner with cross-functional teams including R&D, Operations, HR, IT, Legal, Procurement, and Accounting on strategic initiatives and business cases.
Take ownership of ad hoc analyses, strategic projects, and executive-level financial presentations.

Were looking for a senior-level backend engineer to join our growing Engineering team in TLV.
This role will require you to bring features to the finish line while collaborating closely with other developers, as well as with the Product, QA, Data, and Machine Learning teams-all with the goal of delivering a seamless, joyful experience for our customers.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll:
Help build our products using microservices written in Typescript (using NestJS).
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Collaborate closely with the Product team, in a self-sufficient squad to achieve the squads OKRs
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Coach and mentor other developers and help them elevate their skills.

We're looking for an experienced Full Stack Engineer to join our growing team and take a key role in building and shaping our web application. Youll own features end-to-end - from design and architecture through development, testing, and production - working directly with customers and stakeholders to deliver a world-class product.
What You Will Do
Own and develop our web application end to end, spanning frontend and backend, from design through production
Build rich, data-driven user interfaces and dashboards using Next.js and React
Design and implement scalable backend services and APIs that power the company platform
Work with AWS infrastructure, including RDS and ClickHouse, to deliver high-performance data-driven features
Collaborate closely with product, design, and customers to translate complex security workflows into intuitive experiences
Participate in architectural decisions and help define technical direction as an early member of the engineering team
Take full ownership and accountability for features and projects - from ideation to deployment and monitoring.

We are looking for a Product Marketing Leader with deep strategic thinking and a passion for translating product value into clear, compelling customer narratives.
In this role, you will sit at the intersection of product strategy, customer insight, and marketing execution, owning the storytelling behind our most important initiatives and ensuring consistency across every customer touchpoint.
You will lead product value articulation end to end, from market and customer research, through defining core USPs and shaping launch narratives, to execution across landing pages, email, and full funnel marketing experiences.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Own positioning and messaging for new products, major features, and strategic initiatives, defining what is new, why it matters, and why now
Translate product strategy and capabilities into clear, differentiated customer value that resonates across segments
Shape launch narratives end to end, from early go-to-market alignment with product teams through post-launch optimization
Lead qualitative and quantitative customer research to uncover real motivations, needs, and objections, and use those insights to sharpen messaging
Guide copy and narrative direction across landing pages, lifecycle emails, and marketing funnels to ensure consistent and compelling product storytelling
Improve conversion and feature adoption by continuously testing, measuring, and refining how we communicate value
Reduce go-to-market friction by embedding messaging strategy early in the product development process
Partner closely with leadership and cross-functional teams to shape go-to-market strategy, align on product narratives, and strengthen customer-facing communication across channels.