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We are looking for an experienced Applied AI/ML Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform, designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.
Responsibilities:
Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
Architect multi-agent workflows with planning, tool use, memory, and feedback loops, enabling agents to reason, adapt, and improve over time
Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
Collaborate with software engineers to productize agentic solutions - including testing, monitoring, versioning, and iterative improvement
Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing

We are looking for an experienced Applied Data Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform - designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.
Responsibilities:
Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
Architect multi-agent workflows with planning, tool use, memory, and feedback loops - enabling agents to reason, adapt, and improve over time
Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
Collaborate with software engineers to productionize agentic solutions - including testing, monitoring, versioning, and iterative improvement
Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing

We are seeking an experienced Senior Full-Stack Engineer to join our development team. In this role, you will contribute to the entire product lifecycle, from participating in initial architectural discussions and tech-stack evaluations to the hands-on execution of complex features. We value collective intelligence, and you will be expected to bring your expertise to the table to help design scalable systems and support the team in maintaining high engineering standards.
Responsibilities:
Architecture & Design: Actively participate in the design of new services and system components, providing input on scalability, reliability, and technical feasibility.
Tech-Stack Participation: Contribute to the evaluation of new tools, libraries, and frameworks to ensure our technology stack remains efficient and effective.
Feature Execution: Lead the end-to-end development of robust features, ensuring high-quality implementation across both front-end and back-end layers.
Peer Mentorship: Support fellow engineers through constructive code reviews, technical guidance, and collaborative problem-solving.
Continuous Improvement: Assist in identifying areas for technical improvement within our codebase and development processes, helping to implement best practices.
Agentic Development: Contribute to the team's agentic toolkit by designing reusable components for agent reasoning and skill execution.

we are looking for an experienced Director of Platform Engineering to join the Engineering Leadership team. This is a global role based in Israel.
Position Overview
Lead our global platform and DevOps team responsible for all product infrastructure across SaaS and on-premises solutions. Drive the development of new SaaS offerings from scratch while scaling to support large customer bases under strict security requirements.
Key Responsibilities:
Define and execute platform and DevOps strategy aligned with business objectives
Build, mentor, and scale a high-performing global team of engineers
Architect scalable platform solutions meeting enterprise security requirements
Optimize developer experience through modern tooling and automation
Balance strategic initiatives with operational commitments
Facilitate cross-functional collaboration and technical discussions
Ensure platform reliability, performance, and security across all products

We're seeking a Head of DevOps to lead our DevOps function, managing a mix of team leads and individual contributors across a global organization. This is a senior leadership role for someone who sets technical strategy and organizational direction, while remaining sharp enough technically to dive into a hard problem, challenge an architecture decision, or mentor an engineer through a tough debugging session when it counts.
You'll own the DevOps roadmap and org structure, and be the escalation point for both people challenges and the toughest technical ones.

we are looking for a hands-on Senior Security Operations Engineer who wants to do more than monitor alerts and hand off tickets. In this role, you will have the rare opportunity to identify security problems, understand their root causes, and work directly with the teams responsible for fixing them.
You will strengthen threat detection, incident response, vulnerability management, and cloud security operations through a combination of investigation, engineering, and automation. You will design and tune detections, lead investigations and response efforts, prioritize and route vulnerabilities and CSPM/CWP findings, improve security telemetry, and build capabilities that reduce manual effort and help the organization respond faster.
This is an engineering-focused SecOps role- not a traditional alert-monitoring position. You will be expected to turn operational insights into durable improvements: better detections, stronger controls, cleaner telemetry, streamlined workflows, and measurable risk reduction. You will work closely with Cloud Security, Identity and IT, AppSec, Product Engineering, Platform Engineering, GRC, and service owners to secure corporate and cloud environments.
You will also help shape how secures AI-enabled tools, agents, and automation as they become part of the way we work. If you enjoy moving from signal to solution-and want the autonomy and cross-functional access to make security improvements stick-this role is built for you.

we are looking for a Product Support Engineer, Team Lead.
As a Product Support Team Lead , you will play a critical leadership role within our Product Support organization, reporting directly to the Director of Support Engineering. In this role, you will lead, mentor, and develop a team of Product Support Engineers while serving as a senior escalation point for complex customer issues.
You will combine strong technical expertise with people leadership to ensure exceptional support experiences for our customers. You will drive operational excellence, oversee escalated cases, contribute to process improvements, and partner closely with cross-functional teams to support ' identity security solutions.
The ideal candidate brings a deep technical background, knowledge of Active Directory and identity technologies, proven leadership experience, and a passion for helping both customers and team members succeed.

We're hiring a Director of Data to lead data function and build our data into a
real competitive moat. You'll report to the CPO, manage and grow our lean data team, and
partner across the leadership table. The role is roughly 70% Build & Operate, 30% Lead &
Influence in year one, shifting toward 50/50 as the team scales.
What you'll do:
Lead and grow our data team. Set direction, raise the bar, make their job better.
Make self-service analytics real across First Connect, so every leader gets to their
answers without queuing behind the data team.
Create a contracts-based partnership with the engineering teams producing source data.
Build a core proprietary data asset that powers our internal and partner-facing
experiences and anchors real conversations with our carriers.
Own the data infrastructure roadmap and the question of how we evolve our data
engineering investment over the next 12-24 months.
Define how AI gets leveraged across our data stack and analytical workflows.
Be the data partner the leadership team actually wants to call.

we are looking for a UX/UI Designer.
What You'll Do
- Own end-to-end design - research, flows, wireframes, hi-fi, prototypes, handoff, QA.
- Evolve the design system - components, tokens, patterns, motion.
- Design the AI-Worker experience - plans, steps, approvals, explainability, error states, trust signals.
- Run usability testing with real customers (operators, not designers).
- Partner daily with PMs and engineers; push back when the tradeoff is wrong.
- Contribute to brand and marketing surfaces when needed.

we are looking for a Automation Architect.
What You'll Do:
- Architect complex multi-system automations - OCR pipelines, Priority ↔ Salesforce sync, multi-carrier shipping, e-commerce ↔ ERP invoicing, reconciliation flows.
- Lead technical scoping for large Professional Services engagements.
- Build reusable process blueprints (we already have 116; you'll add the next 30).
- Troubleshoot the hardest production incidents - data, timing, auth, edge-cases in legacy systems.
- Mentor the PS team; review workflow designs; raise the architectural bar.
- Close the loop with Product on connector gaps, platform limitations, and feature requests.

we are looking for a Frontend Engineer.
What You'll Do:
- Build and evolve the Workflow Builder, Tables, and App Maker UIs - visual, drag-and-drop, real-time, collaborative.
- Design and ship the Gini AI Worker dashboards - run visualization, step traces, approvals, cost tracking.
- Own performance - sub-second interactions, optimistic updates, virtualized lists, edge-first rendering.
- Partner tightly with design + product on component systems, accessibility, and motion.
- Contribute to our design system - reusable, themable, keyboard-first.

we are looking for a Machine Learning Engineer.
What You'll Do:
- Design and ship the ML backbone of Gini AI Workers - routing, tool selection, reasoning, memory, evaluation.
- Build evaluation and feedback loops - offline evals, online A/B, regression harnesses, human-in-the-loop labeling pipelines.
- Optimize cost and latency across the agent stack: prompt engineering, model routing (frontier ↔ small ↔ fine-tuned), caching, speculative decoding, distillation.
- Fine-tune and/or RAG-tune models for vertical enterprise tasks (invoice extraction, PO matching, ticket triage, forecasting).
- Own the ML infra - training pipelines, experiment tracking, model registry, deployment, monitoring, drift detection.
- Partner with backend + product to turn research into shipped features on a weekly cadence.

we are looking for a Solutions Architect.
What You'll Do:
- Own end-to-end solution design for enterprise deals - from first discovery call to signed SOW to production handoff.
- Lead technical discovery with CIOs, CTOs, and IT leads. Map their current stack (Priority / SAP / NetSuite / Salesforce / custom) and design the Engini blueprint.
- Architect multi-system integrations - ERP ↔ CRM ↔ e-commerce ↔ shipping ↔ AI Workers - using Engini's MCP-native connector framework.
- Run live technical demos and POCs that prove value in days, not months.
- Partner with Sales on pricing, scoping, and risk assessment; be the "technical closer" on 6-7 figure deals.
- Partner with Product - bring real-world field signals back and influence the roadmap.
- Mentor the Professional Services team on architectural patterns and reusable process blueprints.

We are looking for an experienced Backend Engineer to help build the core infrastructure behind our company's agentic AI system.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
We are looking for a strong Backend Engineer with 5+ years of experience to help build the core infrastructure behind our company's agentic AI system. This is not another workflow tool: we are building something new, in a category that does not really exist yet. You will work on the services, orchestration, integrations, data models, retrieval layers, guardrails, and evaluation infrastructure that let AI agents reason over enterprise context and take reliable action.
This role is deeply product-facing and infrastructure-heavy. Our customers are large enterprises that manage tens of thousands of identities, so the systems we build need to be secure, observable, reliable, and able to operate at real scale.
What You'll Do:
Build production backend services in Python that power our company's agentic AI platform.
Design and implement AI-agent orchestration, tool-calling infrastructure, workflow execution, guardrails, and evaluation loops.
Integrate with enterprise applications, identity providers, SaaS tools, and customer data sources so agents can understand context and execute tasks safely.
Build systems that ingest, model, and reason over organizational processes, permissions, policies, and internal knowledge.
Solve scale and reliability challenges for large enterprise environments with tens of thousands of identities.
Collaborate closely with product, AI, and customer-facing teams to turn ambiguous business processes into reliable automated experiences.
Own reliability, observability, performance, and security for production systems.

We are looking for a Software Engineer - Customer Solutions to help customers successfully integrate, configure, and deploy our platform. You will work directly with customers to understand their technical requirements, build integrations, and troubleshoot issues across APIs, data, authentication, and enterprise systems.
This role is ideal for someone who enjoys combining hands-on engineering with customer interaction. We are looking for strong technical fundamentals, curiosity, clear communication, and a practical approach to solving real-world problems.
What Youll Do:
Work directly with customers to understand their technical workflows and integration needs.
Build and configure integrations between our platform and customer systems.
Develop backend services, scripts, APIs, data transformations, and automation workflows.
Investigate technical issues involving APIs, databases, authentication, customer data, and infrastructure.
Participate in customer implementation meetings and help translate business requirements into technical tasks.
Test, deploy, monitor, and support customer-facing solutions.
Document integrations, troubleshooting steps, and implementation decisions.
Work closely with senior engineers and product teams to turn customer-specific needs into reusable capabilities.
Gradually take ownership of increasingly complex customer projects.