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As a Business Strategy Analyst at our company, you will support the leadership team and cross-functional teams on high-priority strategic and operational questions.
You will help turn complex and ambiguous problems into structured analysis, clear insights, and actionable recommendations. Your work will support decisions across areas such as company priorities, growth opportunities, operating performance, market analysis, and cross-functional initiatives.
This is a hands-on role for someone who enjoys working with data, solving problems, building clear business cases, and translating analysis into decisions and action. You will get broad exposure across the company while developing the judgment and operating skills required to work in a fast-growing technology business.
We are looking for someone who combines strong analytical thinking, intellectual curiosity, attention to detail, and a willingness to take ownership of their work.
Responsibilities
Analyze customer reports, AI visibility data, market inputs, and business signals.
Build clear, polished, customer-ready presentations and executive materials.
Work on multiple reports, decks, and deliverables in parallel with high accuracy.
Turn messy inputs into structured insights, summaries, and recommendations.
QA reports, slides, data points, formatting, language, and narrative flow.
Use AI tools, especially Claude and ChatGPT, to accelerate analysis, synthesis, writing, and QA.
Translate data and insights into clear recommendations for senior leadership and clients.
Contribute to customer, market, and competitive research to inform product and go-to-market strategy.

We're looking for a Senior Car Insurance Pricing Expert to help shape how we price risk across our global business, from our Tel Aviv office.
This isn't a traditional actuarial role. You'll sit at the intersection of Insurance, Data Science, Product, Engineering, and Business Strategy on our Insurance team, owning hard pricing and risk-management problems end to end. That means finding opportunities, designing better approaches, building scalable tools with technical teams, and turning insights into decisions that move growth, profitability, and risk selection forward.
You might be a trained actuary, a pricing leader, a decision scientist, or a technically strong insurance operator who's built serious pricing capabilities. Formal credentials are a plus, but they're not the point. The point is whether you can use data, insurance intuition, statistical rigor, and AI-enabled tools to solve complex pricing problems better and faster than the industry standard.
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 and evolve core components of our Car pricing strategy, bringing analytical rigor and product-minded creativity to how we price risk
Identify high-leverage opportunities across rating, underwriting, segmentation, risk selection, growth, profitability, and portfolio management
Build, evaluate, and improve Car pricing and risk models using actuarial methods, machine learning, AI-enabled workflows, and strong business judgment
Partner with Data Science, Product, Engineering, Finance, and Growth to turn pricing ideas into scalable capabilities
Translate complex pricing problems into clear product and platform requirements, helping teams build internal tools that make better decisions faster
Define and track key metrics - loss ratio, rate adequacy, conversion, retention, segmentation lift, and model performance - to keep decisions grounded in real impact
Make complex actuarial and pricing concepts clear and actionable for technical and non-technical audiences alike, and help build pricing acumen across the Tel Aviv team

As a Business Strategy Lead at our company, you will own high-impact strategic engagements with enterprise customers and help shape how the company turns customer needs, market signals, and data into business opportunities.
You will work directly with senior customer stakeholders, our company leadership, Product, Sales, Customer Success, Marketing, and R&D to structure complex business questions, develop clear recommendations, and drive strategic initiatives from problem definition through execution.
This role combines strategic problem-solving, executive communication, and commercial judgment. You will lead complex customer and business cases, identify opportunities to deepen customer value and expand relationships, and translate what we learn from customers and the market into inputs that improve our product, delivery model, and go-to-market approach.
We are looking for someone who combines top-tier analytical thinking with strong client presence, sound business judgment, and the ability to operate independently in a fast-moving environment.
Responsibilities
Own strategic engagements with enterprise customers from problem definition through analysis, recommendation, and execution.
Turn complex data, customer signals, and market inputs into clear insights and executive-level presentations.
Build and deliver executive-level narratives, presentations, and recommendations for senior customer and internal stakeholders.
Identify opportunities to deepen customer value, expand relationships, and develop new commercial opportunities across accounts and verticals.
Help build repeatable delivery, expansion, and go-to-market motions.
Partner closely with Product, Sales, Customer Success, Marketing, R&D, and leadership.
Develop repeatable frameworks, delivery methodologies, and strategic approaches that can scale across customers and use cases.

As a Senior Product Designer at our company, you'll transform raw product concepts into shipped, high-quality designs that directly accelerate product velocity. This isn't a traditional design seat - it sits at the intersection of product strategy and visual execution, where speed of design determines speed of delivery. You'll receive rough ideas - sometimes just a sentence from a stakeholder - and turn them in to fully realized, shippable interfaces within days. Working closely with product and engineering, you'll own design slices end-to-end, operate with high autonomy, and leverage AI-native workflows to iterate at a pace that compounds the entire team's output.
Responsibilities
Design for complex systems including data-dense interfaces, edge cases, scalable UI patterns, and real-world engineering constraints
Make product decisions, not just visual ones, understanding why something should exist before deciding how it looks
Partner tightly with Product and Engineering to ship realistic, buildable designs without waiting for detailed specs
Communicate design decisions clearly, receive feedback without ego, and keep stakeholders aligned without excessive process
Use AI tools as core workflow infrastructure, including generative AI, AI-assisted prototyping, and rapid asset creation.

As a Demand Generation & ABM Lead at our company, you will own our enterprise demand generation and account-based marketing motion, turning priority accounts, buying groups, account intelligence, and coordinated Sales and Marketing plays into qualified pipeline.
You will identify the accounts we need to win, understand the buying groups inside them, recognize the signals that indicate when and how to engage, and build programs that move those accounts from awareness to conversation to opportunity. This is not a lead-volume or MQL role. Success is qualified meetings, opportunities, pipeline progression, and sourced or influenced pipeline.
This is a hands-on role. You will work closely with Sales on account strategy and activation, with Growth Marketing on paid and scalable channels, with Field Marketing on executive and account programs, and with GTM Engineering on signals, enrichment, automation, and account intelligence.
Responsibilities
Own ABM strategy for our companys priority enterprise accounts, including account selection, segmentation, tiering, and prioritization.
Design and execute 1:1, 1-to-many, and scalable account-based programs based on account value, buying-group complexity, and stage.
Map buying groups across executives, champions, users, influencers, and decision-makers, and build multi-threaded engagement strategies.
Partner closely with Sales to create joint account plans, engagement strategies, next-best actions, and coordinated plays that move priority accounts into qualified meetings, opportunities, and pipeline.
Use intent signals, engagement, company initiatives, leadership changes, and other triggers to determine when and how to activate an account.
Develop account-specific messaging, offers, and campaign concepts with Product Marketing and Content.
Partner with Growth Marketing and Field Marketing to activate priority accounts through paid, digital, events, executive programs, and other relevant channels.
Work with GTM Engineering to turn account intelligence and signals into scalable workflows, alerts, and personalized actions.
Own measurement from target account through buying-group engagement, qualified meetings, opportunities, and pipeline; continuously test plays, messaging, offers, signals, and personalization, and use AI to improve research, campaign development, analysis, and execution.

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.

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.

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 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.