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We are looking for a highly analytical AI Product Analyst to join our core Product Analytics tech team. Operating at the intersection of data, Product and Tech, you will be the bridge between user behavior and model performance. You will partner with Product and Tech leadership to define KPIs, build the semantic layer for Product Agents, and iterate on AI outputs. Your insights will directly impact our strategy, drive feature adoption, shape our data infrastructure, and deliver measurable business impact.
Job responsibilities
Empower Strategic Decisions: Translate complex usage data into executive-ready dashboards and actionable recommendations that align cross-functional stakeholders.
Enable AI Data Infrastructure: Build and maintain the semantic layer for Product Agents to unlock intelligent, self-serve data discovery across the organization.
Drive Product Growth: Analyze the user journey to proactively identify adoption gaps and friction points, accelerating feature activation, retention, and growth.
Optimize AI & Feature Impact: Measure roadmap launches and iterate on prompt engineering and model evaluation to continuously elevate AI performance and user experience.
Standardize Metrics & Tracking: Partner with Product leadership to define core KPIs, unify metric definitions, and establish robust event tracking.
Accelerate Delivery Velocity: Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to streamline technical workflows and increase analytical output speed.

our company helps modern, mid-size businesses transform the way they manage people, giving HR and managers everything they need to connect, engage, develop, and retain top talent.
Since 2015, we've experienced exceptional growth and today serve over 5,500 companies worldwide. Our platform powers modern HR for companies such as Monzo, Fiverr, Gong, Happy Socks, and VaynerMedia.
Come and be you with us
Being a Bobber is all about being yourself. We want you to bring your ideas, curiosity, and passion to work, giving you the freedom and confidence to do your best work every day.
Job responsibilities
What You'll Do
As a Tech Lead, you'll play a key role in shaping the future of AI at our company.
You'll combine deep technical expertise with strategic thinking, helping multiple teams build production-ready AI experiences while driving engineering excellence across the organization.
In this role you will:
Lead the technical direction of one of our company's AI domains.
Design scalable AI architectures and production-ready agentic systems.
Drive technical decisions around LLMs, Retrieval, Tool Calling, MCP, evaluation frameworks, and AI infrastructure.
Own complex cross-team initiatives from design through production.
Collaborate closely with Product, Data, Infrastructure, and Engineering teams to turn AI opportunities into customer value.
Help define engineering standards and best practices for building reliable AI systems.
Drive engineering excellence through architecture reviews, mentoring, and technical leadership.
Balance rapid experimentation with production-grade quality and scalability.
Evaluate emerging AI technologies and identify opportunities to improve our platform and customer experience.

As Manager, Sales Development, you will own and scale outbound sales development function in one of our key growth markets. This is a hands-on leadership role for someone who enjoys building as much as managing. Youll develop the outbound strategy for Israel, coach and mentor SDRs to become exceptional prospectors and commercial talent, and establish the processes, tools and operating rhythms required to consistently generate high-quality pipeline. Youll partner closely with Account Executives, Marketing and Revenue Operations to sharpen our go-to-market strategy and build a repeatable pipeline-generation engine for Israel.

Responsibilities:

Own and evolve the outbound SDR strategy for Israel, including ICPs, target accounts, vertical prioritization, messaging, sequencing and multichannel prospecting.

Lead, mentor and develop SDRs, providing hands-on coaching across cold calling, messaging, research, qualification, objection handling and opportunity creation.

Build and scale the SDR function, including hiring, onboarding, performance management and career development as the team grows.

Own pipeline-generation targets and funnel performance, using data across activity, conversion, opportunity quality and pipeline coverage to continuously improve results.

Partner closely with Account Executives and Marketing on territory strategy, qualification, campaigns, events and vertical-specific initiatives.

Establish high-performance operating rhythms across call coaching, pipeline reviews, enablement and team execution.

Champion effective use of Salesforce, Outreach, Sales Navigator, data, call intelligence and AI tools to improve SDR productivity and performance.

Job responsibilities
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into Bobs core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

we are a vibrant, dynamic, happy place to work. A start-up with an amazing culture, and bright and resourceful people in London, Amsterdam, New York, Sydney, and Tel Aviv. Were growing fast and looking for a talented and passionate Engineering Team Leader to join us!
Job responsibilities
What will you do?
we are a vibrant, dynamic, happy place to work. A start-up with an amazing culture, and bright and resourceful people in London, Amsterdam, New York, Sydney, and Tel Aviv. Were growing fast and looking for talented and passionate Engineering Team Leader to join us!
In this role, you will lead a team responsible for developing employee data HR management module, focusing on the feature and infra aspects of the module. This is the most important entity in our company and responsible for most data in the system. Your team will design, implement, and maintain employee data & profile, both frontend and backend, be responsible for the data layer, data flows, work closely with the teams product manager on defining new functionalities and improving existing features.
As an Engineering Team Leader, you will be in charge of hiring, onboarding, growing, and mentoring your team of backend and frontend engineers, while working closely with our Product team to build and execute on a roadmap of exciting features. You should be passionate about people management as well as software engineering and building a product end-to-end, as your team will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to.

We are looking for a Senior AI Ops Engineer to join our AIOps team and help build the AI-powered platforms, agents, and workflows that enable engineering teams across our company.
This is a hands-on role for someone who can take AI solutions from idea to production, build the infrastructure around them, and create the observability needed to understand and improve how they behave in the real world.
Job responsibilities
Build and operate production-grade AI agents, AI-enabled tools, and workflows that empower developers and operational teams.
Design agentic systems using frameworks such as LangGraph, LangChain, and Supervisor, including RAG, MCP integrations, tool calling, and guardrails.
Build and evolve an AI SDLC harness that helps teams plan, implement, validate, govern, and safely deliver AI-assisted software changes.
Lead AI observability with Langfuse and OpenTelemetry, including tracing, evaluations, quality measurement, and cost analysis.
Build automated evaluation frameworks, including LLM-as-a-judge, to improve the reliability and quality of AI systems.
Design and maintain the infrastructure, CI/CD pipelines, GitOps workflows, and security controls that support AI services.
Develop internal developer tooling and automation that removes friction across the engineering organization.
Partner with engineering and product teams to turn real operational challenges into scalable AI-powered solutions.

we are building a scalable data platform that powers our product, analytics, and AI capabilities. Were looking for an Architect to shape the technical direction of the Data Platform group - helping teams make high-quality architectural decisions faster and turning complex, cross-cutting challenges into clear, pragmatic paths forward.
Reporting to the Data Platform Group Director and working alongside Team Leads, youll be the groups senior individual-contributor architect. You will guide architecture across our Data Infrastructure, Data Engine, and Data Framework teams, with particular emphasis on data-intensive application architecture.
Youll stay close to technical design, delivery, and production - not only to define direction, but to ensure it works in practice.
Job responsibilities
What youll do
Set and evolve the architectural direction for the Data Platform group, balancing long-term platform strategy with pragmatic, executable decisions.
Lead cross-team design reviews and drive alignment on significant technical decisions, including the trade-offs behind them.
Create clear design documents, reference architectures, standards, and reusable patterns that enable teams to make high-quality decisions independently.
Partner with engineers and Team Leads through critical stages of delivery to preserve architectural intent, resolve emerging trade-offs, and ensure designs work in production.
Guide the evolution of data-intensive applications and platform capabilities across data access, query and application frameworks, streaming, storage, reliability, scalability, and security.
Drive incremental modernization of existing systems - including migrations, simplification, and architectural improvements - without compromising customer reliability or delivery momentum.
Build foundations that enable product teams to access and operate on data safely and efficiently, including permission-aware access to sensitive HR data.
Ensure the platform is ready for trusted analytics and AI use cases through robust data contracts, governance, observability, lineage, and secure access patterns.
Identify systemic technical risks, architectural gaps, and recurring friction - and turn them into durable capabilities rather than one-off solutions.
Mentor engineers and raise the bar for technical thinking, system design, and execution across the group.

Were looking for an experienced Technical Project Manager to join our company and own the delivery of strategic and technically complex projects.
Youll work with a handful of merchants on an ongoing basis, build deep knowledge of their setup and their business, and become the person both sides rely on to get complex things done.
What youll do
Own strategic and technically complex projects end to end for a portfolio of our companys most significant merchants - from scoping through delivery.
Lead the internal weekly forum for your accounts, bringing together Customer Success, Technical Account Management, Solutions, Integrations and Product to align on project status, roadmap and open technical issues.
Own and maintain the product roadmap for your merchants: track feature requests through Product, keep commitments realistic and timelines current.
Act as the focal point for your merchants - representing them internally and representing our company to them. Own the relationship and the outcome.
Navigate ambiguity. Every strategic merchant is set up differently; youll hold the line on our standards while adapting the approach to each account.
Drive resolution on escalations and production issues, routing them to the right teams and staying accountable until closed.

we are the worlds leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.
Trusted by some of the worlds most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victorias Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.
Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. Were a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.
Responsibilities:
Lead technical discovery and solution-design workshops with merchant engineering, architecture, and business teams.
Understand the merchants existing e-commerce architecture, business requirements, operational processes, and technical constraints.
Define the most appropriate company integration approach across supported platforms, APIs, order management systems, and fulfilment solutions.
Design end-to-end solutions, including system interactions, data flows, integration responsibilities, dependencies, and technical risks.
Translate business requirements into clear technical specifications and implementation plans.
Act as the technical owner throughout delivery, ensuring the agreed solution is implemented correctly and aligned with our company best practices.
Guide merchants and partners through configuration, development, testing, launch readiness, and go-live.
Identify technical risks and complexity early, challenge non-scalable designs, and recommend practical alternatives.
Investigate complex integration issues by reviewing API payloads, logs, network traffic, system behaviour, and configuration.
Coordinate with Product and R&D when product changes, technical clarifications, or defect resolution are required.
Provide structured feedback to Product and R&D based on recurring merchant requirements and integration patterns.
Support internal teams through technical enablement, documentation, and knowledge sharing.

We're looking for a full-cycle SDR to drive growth across our product suite. You'll own the entire sales motion - from the first cold call to close - as you upsell and cross-sell the company Convert plan and Reviewers.com to Shopify merchants.

This isn't a traditional lead-gen SDR role. You'll be the direct link between our merchants and our Product and Marketing teams, turning every call into an opportunity - whether that's a merchant upgrading their plan, one who churned telling us why, or a new merchant discovering Reviewers.com for the first time.

If you're a self-starter who loves to sell, enjoys owning a process end to end, and is comfortable digging into data to sharpen your approach, we'd love to meet you.
As a Full Cycle SDR at our company, you will:
Cold call Shopify merchants to upsell and cross-sell the Convert plan and Reviewers.com.
Call merchants who uninstalled the app or haven't yet selected a plan to understand why and gather feedback.
Run demo calls for Reviewers.com, showcasing its value to prospective merchants and helping them create their first campaign.
Synthesize merchant feedback and share clear, actionable insights with our Product and Marketing teams.
Analyze call and pipeline data to identify trends, spot opportunities, and continuously improve conversion.
Run the day-to-day operations of the sales effort, including pipeline management, tracking, and reporting.
Sunday: OFF
Monday: 10:00 - 19:00 in office in Ramat Gan
Tuesday: 14:00 - 23:00 work from home
Wednesday: 14:00 - 23:00 work from home
Thursday: 10:00 - 19:00 in office in Ramat Gan
Friday: 9:00 - 18:00 work from home

Were looking for a skilled Applicative SQL Server DBA with a strong background in system design, SQL Server development, and a deep understanding of data architecture.
This position is a key role within our companys Data Department, which supports critical business decisions and manages complex financial processes - including reporting for NASDAQ compliance.
Responsibilities:
Design, develop, and maintain complex financial reporting solutions (including advanced SQL queries).
Investigate and troubleshoot data issues, validate results, and deliver high-quality ad-hoc reports and analyses.
Develop and maintain data pipelines that load data from external, heterogeneous sources using PowerShell and SQL scripts.
Support the migration of complex stored procedures and data processes from SQL Server to Snowflake.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

As an AI Engineer at our company, you will own the intelligent decision-making pipelines that turn complex workspace telemetry into autonomous security actions. You will design, build, and deploy the autonomous reasoning workflows and advanced data classification systems that drive our company's preventive operating model. Your focus will be on creating resilient, production-grade AI systems capable of deep policy comprehension, real-time prevention at the point of adoption, and autonomous remediation of existing risks.
This is a ground-floor opportunity to shape the AI strategy of a fast-growing cybersecurity company alongside a lean, elite team of builders.
WHAT YOULL DO
End-to-End Ownership: Own our AI capabilities entirely from initial research, architectural design, and prototyping, through to production deployment, optimization, and continuous monitoring.
Design & Build Agentic Workflows: Architect multi-step AI agents capable of autonomously investigating workspace risks, interpreting complex enterprise policies, and taking precise remediation actions.
Integrate Multi-Faceted ML: Bring innovation and creative thinking to our core engine. Implement diverse ML models across our entire research and product pipeline-utilizing clustering, text extraction, document analysis, and tabular data classification.
Ship Production-Grade AI: Build high-throughput, resilient, and fault-tolerant production code. You will ensure our AI pipelines and agentic workflows are highly predictable, deeply observable, and built to scale under enterprise-grade loads.
Implement Guardrails & Evaluation: Build continuous evaluation frameworks to benchmark agent accuracy, mitigate hallucinations, and enforce strict data security/privacy guardrails.

Were looking for a Senior Backend Engineer to join our companys R&D team and help define the future of endpoint security.
Youll join a small, high-caliber engineering team that builds the services and data platforms powering our companys product. Your mission will be to design and operate reliable, scalable, and secure backend systems that make our product fast, trustworthy, and easy to extend.
What You'll Do
Build and own backend services and microservices using Python and Go.
Design schemas, run migrations, and build the analytics layer on ClickHouse.
Deploy and operate services on AWS + Kubernetes
Improve reliability, performance, and observability; participate in design/code reviews.
Drive end-to-end delivery across design, implementation, testing, deployment, and monitoring.
Collaborate closely with product, design, and data teams, explain tradeoffs and iterate fast.
Thrive in a dynamic, high-velocity landscape, leveraging cutting-edge stacks and advanced AI capabilities to build what matters.

We're looking for a Senior Frontend Engineer to join our company's R&D team and help define the future of endpoint security.
You'll join a small, high-caliber team of frontend experts building the foundations, components, and infrastructure that power our company's platform. Your mission will be to turn complex security data into fast, intuitive, and scalable experiences used by enterprise security teams every day.
What You'll Do
Build modern frontend applications using React, TypeScript, GraphQL, and the latest frontend technologies.
Build the infrastructure and guardrails - linting rules, AI agent skills, solid APIs, and testing mechanisms - that let non-frontend developers ship features fast without compromising quality.
Own frontend architecture, reusable components, and UI patterns while partnering closely with backend engineers and product teams.
Drive features end-to-end, from design and implementation through testing, release, and production.
Build intuitive experiences for complex security workflows, dashboards, and large-scale datasets.
Help shape and evolve our design system and shared component library.
Improve frontend performance, scalability, and developer experience.
Move fast, iterate quickly, and help shape both the product and engineering culture as we grow.