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We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.
Here are a few of the things you will do:
Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

We're looking for a Sr. Staff Product Manager who has built products from the ground up. You'll lead new AI-powered ventures within our company, owning multiple bets at once - some need to be built from scratch, others are live and need to find product-market fit. Your job is to cut through ambiguity to create product clarity, build the tools and systems that let your team operate at speed, and work cross-functionally to drive each product from ideation through PMF and into growth.
Here is what were looking for in a candidate:
Operates in ambiguity and adapts to change When the problem isn't fully defined, you don't wait - you make your assumptions explicit, pressure-test them fast, and move. You catch mistakes early, adjust, and always have a point of view on what's shifting in the market and why it matters.
Goal-setting and defining success You define what winning looks like before work starts - in concrete terms, not vibes. You push back when goals are fuzzy and hold the line when "done" starts quietly moving.
Tradeoff judgment You make hard calls and own them. You know you can't have everything, and you're clear about what you're trading away and why.
AI-driven velocity You build tools and workflows that embed your thinking - your goals, your logic, your standards - so your team can make good decisions without waiting on you. The bottleneck isn't you. That's the point.
Commercial instincts You care about the business, not just the product. You think in pricing, margins, and whether what you're building makes economic sense - not just whether users love it.
Builder energy You'd rather put something rough in front of a user than write another page of specs.
Customer obsession You talk to customers constantly - not as a ritual, but because you actually want to know. You can tell a real pattern from a loud opinion.
High ownership If it's your problem, you solve it.

Were looking for a brilliant Deep learning research engineer to join our Algorithms group.

What will you do?
Be a researcher of the core deep learning algorithms and communicate with other researchers.
Design and implement advanced algorithms to solve complex problems.
Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

We are looking for a Senior Fraud Analyst to serve as the technical cornerstone of our Fraud Prevention team.
In this role, you won't be managing a team; youll be managing the technical evolution of our fraud defenses. Reporting directly to the Fraud Prevention Director, you will act as a high-level individual contributor, bridging the gap between data science, engineering, and risk strategy. You will be responsible for pioneering the use of AI and advanced analytics to protect our community and ensure our platform remains the safest place for independent businesses to grow.
Here are a few of the things you'll do:
Technical Strategy & Architecture: Partner with the Fraud Prevention Director to define the long-term technical roadmap, moving our company toward an AI-first, autonomous fraud detection ecosystem.
AI & LLM Integration: Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations, reducing the time-to-detect for emerging fraud vectors.
Advanced Detection Modeling: Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings.
Cross-Functional Technical Lead: Serve as the primary technical consultant to Product and Engineering, ensuring that new payment features (like RTP or international expansion) are built with scalable, AI-driven safeguards from day one.
Expert Forensics: Act as an escalation point on high-stakes, large-scale fraud attacks, utilizing advanced Python and network analytics to deconstruct and mitigate threats.
Data Excellence: Set the standard for the fraud teams technical stack. You will optimize our SQL/Python environments and ensure our data infrastructure is capable of supporting real-time AI inference.

We are looking for an experienced Engineering Director to lead a Core Product engineering group in our Tel Aviv office. In this role, you will manage a group of Engineering Managers who each lead their own teams of engineers. You will be responsible for driving delivery, quality, and impact across one of s most critical product areas.
You will report to the Head of Engineering and partner closely with Product, Design, Data, and Go-to-Market leaders to shape strategy and ensure strong execution. This role requires a seasoned leader with deep people-management experience, strong product partnership, and the ability to lead through scale and complexity. The group also plays a key role in embedding AI capabilities into our core product experiences, making this an exciting opportunity to help shape how AI enhances workflows for millions of independent business owners.
A few of the things you will do:
Lead, coach, and support a group of 5 Engineering Managers overseeing multiple teams and dozens of engineers.
Develop and grow managers by helping them strengthen their leadership, decision-making, and team health.
Drive clarity, alignment, and focus across teams working on shared product goals and cross-team initiatives.
Partner closely with Product and Design leadership to shape roadmap, priorities, and execution plans.
Help define and deliver core product and Growth experiences, including initiatives that embed AI into key user workflows.
Translate company and product strategy into clear engineering direction and measurable outcomes.
Help teams plan effectively, make thoughtful tradeoffs, and deliver high-quality products in a predictable way.
Improve how teams collaborate across domains by refining planning, processes, and communication.
Lead cross-team initiatives and manage dependencies across multiple stakeholders.
Play a key role in hiring, org design, and scaling the engineering organization in Tel Aviv.

Are you passionate about connecting top tech talent with the right opportunities? Were looking for an experienced Tech Recruiter to join our team!

Location: Fully remote.

Position: Part-time (with flexibility).

What Youll Do:
Manage the full recruitment cycle for tech roles.
Source, screen, and engage top tech candidates.
Collaborate with hiring managers to understand their needs.
Build strong talent pipelines.

Are you passionate about mobile app development and ready to take on exciting challenges? We're looking for a skilled Flutter Developer to join our dynamic team!

we're looking for a senior leader to take it into its next chapter - full-funnel, AI-accelerated, and built to keep scaling efficient acquisition of independent business owners across every vertical we serve.
This is a hands-on leadership role. You'll own paid acquisition strategy, budget, and team, while partnering closely with brand, lifecycle, product marketing, finance, and data. You'll be expected to have a strong point of view on where the channel mix is going, how measurement should evolve in a privacy-first world, and how to use AI to compound your team's output without compromising creative quality or brand.
What you'll own
Paid media strategy, budget allocation, and performance across the full mix: paid search, paid social, podcasts, YouTube/CTV, display, retargeting, and emerging channels.
A full-funnel approach that pairs efficient DR with brand and awareness investment, with a clear thesis on how the two reinforce each other.
An always-on testing roadmap across channels, audiences, creative, landing pages, and bidding - with a real incrementality and MMM practice, not just last-click.
Managing The performance marketing team: hiring, coaching, and developing senior ICs into stronger operators and future leaders.
Forecasting and pacing in partnership with finance and data - including business cases for new channels and budget shifts.
Creative velocity: tight collaboration with brand and creative teams to ship more, better-performing assets, faster.
Executive-level reporting on what's working, what isn't, and what we're learning.
Relationships with platform and ad-ecosystem partners (Google, Meta, TikTok, podcast networks, measurement vendors, etc.).