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We are seeking a highly skilled and analytical Senior Data Engineer to join our Data team. In this role, you will design and implement robust data pipelines, while uniquely bridging the gap between engineering and analytics by actively analyzing data to extract actionable insights. You will play a crucial part in architecting our data foundations to support everything from business intelligence to advanced machine learning and agentic AI pipelines.
As a Senior Data Engineer, you will collaborate closely with engineering teams, product managers, and stakeholders across the organization. You will not only build the infrastructure utilizing modern data stack tools but also act as a data analyst when needed, ensuring our systems are fully equipped to operate within and support a cutting-edge agentic AI environment.
Responsibilities
Design, build, and maintain highly scalable ELT/ETL data pipelines.
Architect and manage modern cloud data warehousing solutions.
Develop, maintain, and monitor Python services responsible for robust data collection and ingestion.
Perform hands-on data analysis to interpret complex datasets, identify trends, and deliver business insights, acting in a dual capacity as a Data Analyst.
Develop and optimize data infrastructure specifically designed to support autonomous agentic workflows and LLM integrations.
Collaborate with engineers and analysts to troubleshoot data issues, enforce quality SLAs, and define data requirements.
Document data architecture, flow, and analytics standards for internal team alignment.
Build and maintain dashboards and reports to communicate analytical findings and data health to the organization.
Maintain Kafka consumer applications that process high-volume event streams in real-time, ensuring reliable ingestion into cloud databases.

We are seeking an experienced and passionate Senior Software Engineer to join our core engineering team. In this role, you will design, build, and scale high-performance backend services that power our enterprise Agentic AI platform. You will tackle complex technical challenges, architect robust systems, and work on cutting-edge features that seamlessly integrate AI agents into enterprise workflows.
As a Senior Software Engineer at our company, you will collaborate closely with product managers, and cross-functional engineering teams. You will take full ownership of end-to-end feature delivery from initial system design and API definition to production monitoring and optimization - ensuring our platform maintains top-tier reliability, security, and execution velocity.
Responsibilities
Design, architect, and maintain highly scalable, high-throughput backend services and distributed systems.
Take end-to-end ownership of features and projects, driving them from technical design through to deployment and monitoring.
Build and optimize core APIs and integration layers.
Write clean, testable, and maintainable code, adhering to software engineering best practices (CI/CD, code reviews, automated testing).
Drive architectural decisions, lead technical design discussions, and advocate for system performance and scalability improvements.
Troubleshoot and resolve complex production issues, ensuring high system availability and low latency.
Mentor and guide junior and mid-level software engineers, driving engineering excellence across the team.

We're looking for a Senior AI Engineer to design, build, and ship production-grade LLM agents that reason over workforce and skills data on top of Loomra's semantic layer. You won't just prototype - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily (Teams, Slack, Copilot), and iteration in front of enterprise customers. You'll work alongside product, data, and platform engineers to turn powerful capabilities into reliable, safe, and fast product experiences.
If you've built agents that actually made it to production - and you care as much about evaluation, guardrails, and reliability as you do about capability - we want to talk to you.
Responsibilities
Design and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Implement retrieval and RAG pipelines over structured and unstructured workforce data, grounded in our knowledge graph connecting people, jobs, and skills.
Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Build evaluation harnesses, guardrails, and safety/bias checks, and work within the governance engine so agents behave reliably, respect customer policies, and produce a full audit trail.
Ship agents in a model-agnostic way across providers (Anthropic, Google, IBM watsonx) and deploy them into Teams, Slack, and Copilot.
Optimize agents for latency, cost, and reliability at enterprise scale.
Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Partner closely with product, data, and platform teams to translate customer needs into agent capabilities.

We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved.

This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator.

You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow.

This is not about incremental AI integration - this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter.

Responsibilities
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Build platform primitives that enable dynamic AI-driven module and extension generation.
Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle.
Define and codify AI-native engineering practices, patterns, and guidelines to elevate our software development lifecycle.
Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability.
Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals.

Required Sales Development Representative - Tel Aviv
Description
A leading SaaS and FinTech platform transforming how real estate investment firms manage their capital, investors, and operations. Trusted by 700+ GPs, owners/operators, and investment firms globally, we help teams streamline the full lifecycle of investment management-from fundraising and onboarding to reporting, distributions, tax, and back-office automation.
But were more than just software. Were a team of bold thinkers, innovators, and real estate enthusiasts who believe complex processes should feel simple. Our platform combines modern technology with expert services, helping our customers raise more capital, deliver a better investor experience, and scale their businesses smarter.
We are backed by top-tier VCs like Insight Partners and Qumra Capital, and were growing fast. Weve been named one of Globes Most Promising Startups, recognized as a Best Start-Up Companies to Work For by Duns 100, and one of Business Insiders Hottest PropTech Startups.
About the role:
As a Sales Development Representative, you'll be on the front line of prospect outreach with the goal of generating qualified opportunities for our sales team. In this role, you will develop and own the "top-of-funnel" through outbound prospecting (cold calling, emailing, and social channels). You will be expected to quickly and effectively communicate our value proposition, respond to objections, and speak confidently to industry trends.
This role is essential to our team's aggressive growth targets. Success will require a growth mindset, resilience, adaptability, and a commitment to finding creative solutions.
What your day would look like:
Prospecting Expertise: Dive into the strategic identification and enrichment of a prospect list tailored to our Ideal Customer Profile (ICP), ensuring a pipeline of qualified leads ready for engagement.
Dynamic Multi-Channel Outreach: Engage with prospects through a seamless blend of phone, email, and LinkedIn interactions. Your mission is to spark interest, build relationships, and set the stage for meaningful conversations.
Collaborative Partnership: Join forces with our sales team in meetings you've scheduled, playing a critical role in facilitating discussions and moving prospects through the sales funnel.
Skill Enhancement: Participate in ongoing training and coaching sessions, embracing opportunities to refine your techniques and strategies in sales development, ensuring peak performance and continuous growth in your role.
SDR Tel Aviv Working Hours:
During onboarding: 5 days/week in office (Sun 10-7pm, M-Th 12-9pm)
Post onboarding: Sun (10-7pm) from home, M-Th (12-9pm) in office.

Were looking for a AI First - Senior Fullstack Engineering who will be a force multiplier on the Growth/Experts team - a high-output, impact-driven builder who leverages every tool at their disposal (including AI) to move at extraordinary speed.

This person doesn't wait for a perfectly scoped spec - they understand the business problem, shape the solution, and build it end-to-end. They own complex challenges across backend and frontend, ship fast, unblock teammates, and raise the bar for what one engineer can accomplish.

AI tools are a natural part of how they work, making them dramatically more effective - not a separate initiative, just how they operate.

As a Senior Fullstack Engineer, Youll:
Build from problem to production - take a business need or user pain point, understand the "why," design the approach, and ship a working solution - even without a full design spec or detailed product requirements.
Ship at 10X pace - deliver complex, end-to-end features across backend and frontend at a speed that surprises people, by leveraging AI and smart shortcuts without cutting corners on quality.
Own big problems - take ambiguous, cross-cutting challenges and turn them into working solutions with minimal hand-holding.
Multiply the team - unblock teammates, share knowledge, raise quality through code reviews, and make everyone around them better.Build with impact - prioritize work that moves the needle for users and the business, not just what's technically interesting.
Continuous Improvement - proactively identify bottlenecks, tech debt, or inefficiencies and fix them without waiting to be asked.

we are seeking for an Financial Project Manager This role requires Lead projects end-to-end, managing all project phases from initiation, scheduling, and task management through to full implementation, Continuously monitor project milestones, manage risks, remove roadblocks, and ensure successful project delivery, Manage projects that bridge and synchronize innovative digital systems with legacy core systems, Work closely with senior managers, technology leaders, and business partners to ensure full alignment and synchronization, Manage project timelines, priorities, dependencies, and deliverables throughout the project lifecycle. Full-time position, Sunday-Thursday, based in Modi'in.

We are a leading fintech company providing digital knowledge solutions for finance, payroll, tax and pension professionals, is looking for a highly motivated and talented software engineer with excellent technical and interpersonal skills to join our development team. Responsibilities: Own End to-End Delivery: Collaborate with product and engineering teams to architect, build, and deploy high-impact features and system enhancements from concept to production. Write Production-Grade Code: Develop clean, highly efficient, and reusable code across the entire stack, setting a benchmark for code quality and maintainability. Drive Software Excellence: Establish robust testing patterns (unit, integration, E2E) and spearhead troubleshooting to guarantee zero-downtime and high-quality releases. Optimize for Scale: Proactively monitor, debug, and optimize application performance and database queries to ensure maximum reliability and scalability for a rapidly growing user base.