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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.

our company helps modern, mid-size businesses transform the way they manage people, giving HR teams and managers everything they need to connect, engage, develop, and retain top talent.
Our platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively. Fast-growing companies around the world rely on Bob to create exceptional employee experiences.
As part of our companys Core HR product organization, you will help shape the foundational product experiences that power how companies manage people, structure, processes, and critical HR operations at scale.
About the Role
We are looking for an experienced and impact-driven Senior Product Manager to join our companys Core HR product organization.
Core HR is one of the most strategic foundations of Bob. It powers the people data, company structure, configurable operating model, employee lifecycle processes, and operational workflows that help companies run and scale their people operations.
This is a high-impact role for a product leader who wants to build products that sit at the heart of how companies operate. You will shape experiences that help organizations structure their workforce, run critical HR operations, and make confident people decisions at scale.
As a Senior Product Manager in Core HR, you will own a meaningful product area and turn complex customer needs into simple, scalable, and trusted product experiences. Your work will directly influence customer trust, operational efficiency, product adoption, and Bobs ability to scale globally.
This role is ideal for a product leader who enjoys solving complex B2B SaaS problems, working closely with customers, collaborating across multiple product and engineering teams, and building products that become core to daily business operations.
Job responsibilities
Own a strategic Core HR product domain from discovery through delivery, launch, adoption, and ongoing iteration.
Shape product experiences that become part of the operating backbone for modern HR teams, managers, and employees.
Define and execute a roadmap that supports Bobs growth and enterprise-grade customer experience.
Turn complex HR, workflow, configuration, planning, or data needs into intuitive product experiences and scalable product behavior.
Deeply understand customer needs, market trends, operational pain points, and business priorities, and translate them into clear product opportunities.
Lead product discovery with customers, prospects, customer-facing teams, and internal stakeholders.

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.

You will join the Client Enablement (CE) team, working to build a seamless customer product onboarding and configuration experience for customers across the EMEA and globally. In this role, you will work with various internal stakeholders to ensure client accounts are ready for transaction and that client transactions can be processed smoothly in production environments. You will partner closely with Commercial, Solution Engineering, and Product teams to configure pricing and account capabilities, while identifying opportunities to improve the onboarding experience at scale. The CE team is small but business critical, and you will play a key role in providing a positive initial experience with the platform as the EMEA business continues to grow.


Responsibilities:

Be a key source of knowledge on configuration topics across product domains for both pricing and capability configuration details.

Work with account executives to amend account pricings per the commercial teams request.

Co-work with solution engineers globally to gather, validate, and apply configuration requests to enable capabilities suiting client business and technical needs.

Collaborate closely with commercial, operations, and product teams to gather, evaluate, and improvement opportunities within platform client onboarding processes.

Develop and manage on-shore functional programs and projects that enable EMEA operational and organisational goals.

Maintain and update customer account settings and pricing throughout the lifecycle of their relationship , ensuring accuracy and consistency across configurations.

Were seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role youll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.

This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

What Youll Do:
Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to customers and management in a clear and concise manner.
Present key findings of your analysis to customers around the globe.

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.

We're looking for a multi-disciplinary security researcher to play a vital role in researching, planning, implementing, and maintaining security solutions for organizational adoption and usage of software in general, and AI-native software in particular, in collaboration with all product development departments.
What You'll Do
Investigating how software in general, and AI-powered tools (coding assistants, agents, LLM-integrated IDEs, etc.) are used inside organizations, and where they introduce risk: data leakage, prompt injection, supply chain exposure, malicious extensions, and so on.
Building a data-driven picture of real-world usage and adoption to prioritize what we protect against, using telemetry, surveys, and external research.
Designing detection and prevention approaches for these risks, and working with engineering, product, and data teams to ship them in our product.
Auditing implementations against the threat models you develop and iterate.

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.

Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.