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We're looking for a Senior Staff Product Designer to join our team. This is an end-to-end role - from problem definition through research, design, and delivery. You'll work closely with product managers, engineers, and researchers to shape experiences that matter to the people running their own businesses in our company.

What you will do:

Transform complex ideas into simple, working products that bring value to our users and drive business impact.

Own the entire product lifecycle - from opportunity to shipped product and beyond.

Rapidly test hypotheses using Claude, Lovable, Cursor and others to get real things in front of users fast.

Advocate for our diverse customer base with hard data and in-depth qualitative and quantitative research insights to help meet their unique needs.

Contribute beyond your product team - to how we work and to growing our design culture.

The mission:

Take this from concept to a category-defining business. Zero to outcomes. You will:

Live in the market until you understand it better than anyone in our company.

Define the strategy, the wedge, the offering, the pricing, and the brand.

Build the early product and the early GTM in parallel.

Land the first paying customers yourself.

Build the team you need to scale once we have signal.

Think of it as founding a startup with us as your first investor, your distribution advantage, and your operational backbone, rather than as a corporate initiative.

What you'll own end to end:

Market. Talk to 50+ AI Implementers in your first 90 days. Map the segments (technical builders vs business strategists, project-based vs retainer, generalist vs vertical specialists). Map the communities, the influencers. Decide which segment we go after first and why.

Strategy. Build the business case, the product thesis and the GTM foundations. What's the offering? What's the wedge? What's the pricing model? What does the unit economics look like at scale? What are the four to five things we have to be opinionated about, and what are we deliberately not doing?

GTM. Design the acquisition motion from scratch. Community, content, partnerships, paid, sales-led, product-led, some combination. Test cheap, kill what doesn't work, double down on what does. Treat GTM as foundational, not as something we figure out after product is built.

Product. Partner with engineering and design to ship the first version. You won't build it alone, but you'll set the bar for what it is, what it isn't, and what good looks like. Customers. Land the first 10 paying customers personally. Get on the calls. Read every email. Watch every demo. Be the most informed person on what's working and what isn't.

We're looking for a ML Engineer to join our Data team in Tel Aviv. Our team sits at the heart of our data stack - we build and maintain the infrastructure, pipelines, and AI-powered systems that DS, product, marketing and other stakeholders rely on to move fast and make smart decisions.

What you'll work on:

Integrate and productionize LLM-based systems: from prompt registries and model gateways to agentic workflows - with a focus on reliability, observability, and cost efficiency.

Own our core MLOps infrastructure: build and maintain our feature store, vector database, training and monitoring tools, etc.- so DS and product teams can ship AI features without infrastructure becoming the bottleneck.

Build AI-powered Python microservices that integrate LLMs, scraping, pipelines and internal data into product features used by hundreds of thousands of businesses.

Collaborate deeply with data scientists, engineers and product managers to turn ideas into reliable, scalable ML systems, iterating quickly from prototype to production.

Own initiatives end-to-end: from design doc to production deployment, including monitoring, documentation, and handoff.

Performance marketing has been one of our biggest growth engines, and 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.).

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 HoneyBooks 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.

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 us 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 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 authentication plumbing from developers' daily lives while helping organizations turn identity into a business enabler. Come join us!

What You'll Be Doing
Become a Student of Authentication: You should be curious about your prospect's business and challenges in order to create a POV (point of view).
Be a CIAM Specialist: Over time, you'll become knowledgeable about our category (customer identity access management), product, use cases so you can confidently discuss solutions with prospects.
Generate Qualified Pipeline: Proactively identify and engage with future customers to generate pipeline for the Account Executive team.
Outbound Prospecting: use different signals and research (marketing activity, social media, product usage, etc) to reach out to prospects using email, call, Linkedin.
Inbound Nurture and Qualification: Own and manage inbounds - educating, nurturing, and qualifying them into pipeline
Follow up to qualify MQLs ASAP by leveraging Apollo sequences and a multi-channel approach (i.e. calls via Nooks, social via Linkedin, etc)
Maintain a consistent level of focused activity that helps bring future customers along the buyer journey - whether it's through educating them around Descope to qualifying and setting meetings
Organize: Because this is a high-volume role, staying organized is key. You will need to manage follow-up tasks, understand prioritizations, and juggle calendars.
Systems: We're a tech company, so we provide you with great technology to do your job. You will become a master of using systems like Hubspot, Apollo, Sales Navigator, Cognism and more.
Getting Better Every Day: You will be provided great onboarding and training support. After this initial period, you should be open to continued coaching and constructive criticism.
Cross-Functional Collaboration: It's important for you to work with other key members of our go-to-market team in order to be successful. This includes teammates from marketing, operations, engineering, and leadership.

We are looking for a talented and motivated Low-Code / No-Code Implementer to join our growing team. In this role, you will design and deliver innovative AI and digital solutions for leading organizations in Israel and around the world, using advanced low-code/no-code platforms.
This is a hybrid position, combining work from home with work from our offices.
What You'll Do:
Design, implement and deliver AI-based and digital solutions using low-code/no-code platforms.
Work closely with customers to understand business needs and translate them into technical solutions.
Participate in the full project lifecycle, including requirements gathering, solution design, development, testing and deployment.
Collaborate with a multidisciplinary team on innovative projects for leading Israeli and global organizations.
Leverage modern technologies and platforms to create business impact and accelerate digital transformation.

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations. You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.

What You'll Do:
MCP Development & Implementation

Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities
Architecture & Design

Architect scalable MCP solutions that handle high-volume data access patterns
Design efficient protocol implementations that minimize latency and maximize throughput
Create reusable MCP components and libraries for internal and external use
Establish best practices for MCP server development and deployment
Integration & Collaboration

Integrate to our identity platform
Work with DevOps teams to deploy and monitor MCP services in production environments
Partner with security teams to ensure MCP implementations meet compliance and security requirements
Integrate MCP solutions with existing infrastructure and third-party services
Quality & Performance

Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests
Monitor and optimize MCP server performance and resource utilization
Debug complex issues in distributed MCP environments
Maintain detailed documentation for MCP servers and integration patterns
Contribute to Open Source

Engage with the open-source community, contributing to the development and improvement of MCP

We are looking for an exceptional Software Engineer to help us with our mission to ease the Authentication burden for every developer out there.
You should be able to build high-quality, innovative and fully performing software in compliance with coding standards and technical design. The position will have significantly more Frontend work than Backend.

What You'll Do:
Build high-quality, innovative and fully performing software in compliance with coding standards and technical design
Take on significant Frontend work while contributing across the full stack
Contribute to architectural and technological decisions
Work closely with developers, engineers and designers

We are looking for a talented Architect to join us. As a Data Architect, you will be the organizational point of contact for all things related to data persistence and architecture. You will work closely with engineering teams across the Product, Platform, and Data groups to design, govern, and evolve our data models, databases, and data-related systems. Your goal will be to ensure scalability, reliability, security, and efficiency for all data storage and retrieval across the organization.

A few of the things you will do:

Be the primary point of contact and subject matter expert for data persistence across the entire engineering organization.

Define and govern the data architecture strategy, standards, and best practices for relational, NoSQL, and data warehouse systems.

Partner with engineering teams from product, platform, and data groups to design and implement scalable and robust data models for new and existing services.

Lead the design and optimization of the organizations data flows. You will help to ensure that data moves efficiently, consistently, and with high quality across all systems and domains.

Evaluate and recommend new technologies and data solutions to meet evolving business needs.

Drive initiatives to improve data quality, consistency, and integrity across all production systems, from ideation to hands-on execution.

Establish, maintain, and communicate documentation for all data models and architectural decisions.

This is a role for someone who wants to build the org of the future, where agents and people work side by side, and is ready to own the program that gets a company there! Youre taking over the leadership of our AI Transformation: the internal AI work across every function. Youll own the program end-to-end.

What Youll Do?
Run the three pillars (Adoption, Infrastructure, Builds) and the foundation that ties them together. Adjust as we learn, and make it real on the ground.
Lead the change, not just the tooling - the hard part isnt building the agent, its getting people to change how they worked for years. Youll drive that change, build trust with VPs, and push where it matters.
Manage and grow the team - both direct reports and dotted line champions. Youll grow the team from there as the program scales.
Run the prioritization machine - choose whats the right effort, from vertical low hanging fruit and all the way to horizontal initiatives.
Make agents as employees real - every agent has a manager, a cost, a performance review, and a forward plan. Managers are measured and rewarded on how their agents perform.
Measure and report impact - hours saved, adoption, leverage and metrics you define and instrument. Report up. Adjust the program based on what the numbers say.
Stay hands-on - this isnt a role for someone who only writes plans. You build agents and workflows yourself when it makes sense, sit in proposal reviews with the PM, weigh in on architecture with the Engineer, and ship things when needed.

Location: Tel Aviv. Hybrid.