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We are seeking an experienced System Engineer to lead the implementation, integration, operation, and maintenance of IT and cybersecurity systems within a complex defense project. The role involves working with multi-vendor environments, ensuring interoperability between infrastructure, network, and security systems, and supporting deployments in Israel and abroad.
Key Responsibilities:
Integrate and implement IT and cybersecurity systems across infrastructure, networking, and security domains.
Operate, maintain, and monitor systems in lab and production environments.
Troubleshoot complex technical issues across identity, network, and security layers.
Support deployments, acceptance activities, and customer-facing technical engagements.
Collaborate with internal teams, customers, and defense industry partners.

Were a well-funded, early-stage startup, hiring our Director of Brand & Communications to build and own our brand and narrative function from the ground up. This role is ideal for a hands-on, strategic operator who thrives in early-stage environments, is comfortable creating structure where none exists, and works closely with our founders to define how Reindeer shows up in the world.

You will own brand and communications end to end, from positioning and narrative through press, founder visibility, and owned content. You will also build the function itself: the team, the systems, and the standard for how we show up everywhere that matters.

We have a product we believe in and a clear shot at owning a category before anyone else defines it. You will shape how the market thinks about us, build the systems that scale that story, and own our brand and reputation as the proof youre winning.

Your Impact
Brand & Narrative Strategy

Own Reindeers positioning and voice, and turn it into a brand system that scales across every campaign, channel, and touchpoint

Conceive and run brand campaigns, from the big idea to the assets to how it shows up across every channel

Set the editorial vision and voice guidelines that keep every piece of content on-brand as we scale

Communications & Press Narrative

Own how Reindeer sounds to the press: the messaging, the story angles, and the talking points behind every pitch and interview

Collaborate with our PR agency, who handle media relations and placement, so that earned coverage carries our narrative

Social & Owned Channels

Own Reindeer's presence on social channels from strategy through the posts themselves, for both the company and the founders

Build the content engine that turns our thinking into a steady, distinct presence people follow

Founder & Executive Visibility

Turn our founders into recognizable voices through bylines, podcasts, panels, and the right rooms

Ghostwrite, coach, and source the opportunities that keep them visible without eating their time

Team & Function Building

Hire and grow the brand and comms function as we scale, setting the standard for how we show up everywhere

Report directly into leadership, and partner closely with founders, Sales, and Product on positioning and go-to-market

We are looking for a motivated and skilled Software Engineer to join our growing team. This is an exciting opportunity for someone with a strong technical foundation who enjoys working with diverse technologies, solving complex technical challenges, and contributing to impactful, real-world products. You will collaborate with cross-functional teams to design, develop, and maintain scalable software solutions while continuously learning and adopting new technologies.

We're a well-funded, early-stage startup, hiring our Director of Growth to build and own our pipeline generation engine from the ground up. This role is ideal for a hands-on, data-driven operator who thrives in early-stage environments, is comfortable creating structure where none exists, and works closely with founders, Sales, and Product to drive enterprise pipeline and revenue.

You will own pipeline generation end-to-end, from first touch through sales-accepted opportunity, across paid, outbound, content, ABM, and inbound. You will also own the operational backbone (scoring, routing, nurture) that connects Marketing to Sales, and the budget to hit the number.

Selling enterprise AI is a craft: thoughtful buyers, real buying committees, and a category that is still being defined. You will shape how the market thinks, build the systems that scale it, and own pipeline and revenue as the proof you are winning.


Your Impact
Pipeline & Demand Generation

Own all pipeline generation activities and the programs that feed them, including meeting/appointment-setting programs and outbound email

Own targets, forecast pipeline, and report against them on a regular cadence

Build for enterprise reality: multi-touch, multi-stakeholder journeys rather than single-lead conversion

Paid Media

Plan, run, and optimize all paid advertising (LinkedIn, Meta, and additional channels as they prove out), owning spend and ROI by channel

Lean into the channels where enterprise and technical buyers actually are (LinkedIn, niche/industry placements, retargeting against target accounts)

Campaigns & Content

Build integrated campaigns spanning content distribution, webinars, and podcasts, each with a clear thesis and measurable goals

Drive content credible enough for a technical audience and clear enough for executives - thought leadership that builds trust and educates the category

Coordinate the calendar so channels reinforce rather than compete

Inbound, Organic & Website

Own SEO and organic growth, including category and bottom-funnel content that captures intent as the market matures

Own the website as a conversion asset: landing pages, messaging, and CRO across the funnel

Build inbound capture and routing so demand created by content and brand converts into pipeline rather than leaking

(If another team owns part of this - e.g. product marketing owns messaging, or eng owns the site - we'll define the seams clearly. As written, this role owns inbound performance and the conversion path.)

ABM & Marketing Operations

Own marketing operations and build the ABM strategy: account scoring models, tiering, and pod-based distribution / routing - essential when you're selling to a finite list of named enterprise accounts

Define and maintain the lead and account lifecycle (stages, MQL/SQL definitions, handoff SLAs with sales)

Lifecycle & Nurture

Design nurture flows that move accounts and buying committees through long sales cycles, and keep account scores current and accurate

Re-engage stalled accounts and recycle them back into the funnel

Analytics & Reporting

Build dashboards and own attribution so every dollar and program ties back to pipeline and revenue - including multi-touch attribution that holds up over long, multi-threaded cycles

Run experiments, read the data, and reallocate toward what works

We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer to join our founding team. The focus of this role is to design, develop, and deploy autonomous AI agents that can automate and optimize complex enterprise workflows. You will work on building intelligent systems capable of decision-making, data extraction, document processing, and other tasks typically requiring human intervention. This is an opportunity to influence the architecture and strategy of AI-driven automation solutions for large-scale enterprise environments.

Your Impact
AI Agent Development

Design and develop autonomous AI agents using best of breed large language models to automate tasks such as document processing, data extraction, and workflow management.

Implement reinforcement learning techniques to enhance decision-making capabilities of AI agents.

AI Integration

Build and integrate APIs that connect AI agents with external systems and enterprise software (ERP, CRM).

Use frameworks like TensorFlow, PyTorch, or Hugging Face to deploy and optimize AI models for real-time processing.

Data Processing and Pipelines

Design and manage data pipelines to process and analyze large volumes of documents and unstructured data efficiently.

Optimize data handling to improve speed and accuracy of AI agents.

Security and Compliance

Implement authentication and authorization mechanisms to secure AI-driven systems.

Ensure compliance with data privacy standards (e.g., GDPR, HIPAA) and adopt best practices for secure data handling.

Cloud Infrastructure and Scalability

Deploy AI agents on cloud platforms (AWS, GCP, or Azure) ensuring scalability and reliability.

Leverage containerization (Docker, Kubernetes) for efficient deployment and management.

Testing and Optimization

Develop and execute unit, integration, and performance tests for AI-driven systems.

Continuously monitor and optimize system performance for speed, accuracy, and cost-efficiency.

Collaboration

Work closely with AI researchers, front end engineers, and product teams to align AI agent capabilities with business requirements.

Participate in code reviews, design discussions, and architecture planning to drive innovation.

We are a well-funded, early-stage startup, looking for a talented and motivated AI Engineer to join our team. The focus of this role is to develop advanced AI agents aimed at automating and optimizing low-skill human tasks, with a special emphasis on document processing, data extraction, text and email comprehension, and related workflows. You will be responsible for researching, designing, and deploying AI solutions that can replace repetitive manual tasks, improving efficiency and scalability for organizations.

Your Impact
AI Agent Development

Design, develop, and implement AI agents using best of breed LLMs to automate document processing tasks across enterprise workflows.

Workflow Automation

Build machine learning pipelines to automate content-heavy processes for enterprise businesses.

Model Optimization

Fine-tune and optimize pre-trained LLMs to accurately interpret, classify, and process large volumes of documents, improving speed and accuracy.

Collaboration

Partner with product, engineering, and business teams to identify high-value automation opportunities and integrate AI-driven solutions into our operations.

Evaluation & Testing

Develop metrics and conduct extensive testing to ensure reliability and efficiency of the AI systems in real-world scenarios.

We are a well-funded, early-stage startup looking for a Frontend / Fullstack Engineer to join our founding team. In this role, you will help build cutting-edge web applications and platforms that bring autonomous AI agents to life, automating complex enterprise workflows. You will play a critical role in shaping intuitive, responsive UIs and robust backend APIs that connect AI-driven agents to real-world enterprise systems (ERP, CRM, and more).

This is an opportunity to influence the architecture, design, and user experience of next-generation AI-powered automation solutions for large-scale enterprise environments.

Your Impact
Product & Frontend Development

Design and develop modern, intuitive, and responsive frontend interfaces that allow users to interact seamlessly with AI agents and automated workflows.

Create user dashboards, workflow builders, and visualization tools to monitor AI-driven automation in real time.

Collaborate with design and product teams to bring complex AI capabilities into simple and usable UI experiences.

API and Fullstack Engineering

Develop robust backend APIs that connect AI agents to enterprise data sources and external systems (ERP, CRM, document management systems).

Implement REST and GraphQL APIs to expose AI agent functionalities to the frontend.

Handle real-time communication, event streams, and notifications to keep users informed of workflow progress.

AI Integration & Collaboration

Collaborate closely with AI/ML engineers to integrate AI agent outputs into the product, including document processing, data extraction, and decision-making workflows.

Manage and present AI agent-generated data in user-friendly formats and visualizations.

Team Collaboration & Culture

Work closely with AI engineers, product designers, and enterprise customers to align AI capabilities with real business needs.

Participate in code reviews, architecture discussions, and feature planning.

Help shape the companys engineering culture and best practices as part of the founding team.

We are looking for a Senior Network Technical Lead to own the full technical lifecycle of network and security infrastructure projects - from requirements and design through implementation, customer acceptance, and handover
This is a technical-authority role, not a hands-on-keyboard-only position: the person sets direction for other engineers and is accountable for every design decision on the project.
Core Responsibilities:
Own solution design end-to-end: translate customer requirements into secure, scalable network architectures, and produce HLD and LLD documentation.
Lead technical delivery - installation, configuration, migrations, and upgrades of enterprise network and security infrastructure.
Make and defend architecture and security design decisions spanning routing, switching, firewalling, and access control.
Lead FAT/SAT, customer acceptance, and technical handover, including as-built documentation.
Act as the primary technical point of contact for the customer for the duration of the project.
Set technical direction and mentor other engineers working on the project.
Identify and mitigate technical and security risk throughout the project lifecycle.
Coordinate with vendors and with the System and Cyber Security teams to ensure integrated delivery
Own and take an active part in integration work for projects both in Israel and abroad, including on-site involvement when required.

We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer specializing in infrastructure to join our founding team. The focus of this role is to build and scale the infrastructure that powers autonomous AI agents automating complex enterprise workflows. You will own the systems, pipelines, and platforms that let our AI agents run reliably, securely, and at scale in production.

Your Impact
Infrastructure & Platform

Design, build, and own the core infrastructure powering our AI agent platform, from data pipelines to production deployment systems.

Build and scale the backend systems that support high-throughput document processing and data extraction workloads.

Cloud Infrastructure and Scalability

Architect and deploy infrastructure on cloud platforms (AWS, GCP, or Azure) with a focus on scalability, reliability, and cost efficiency.

Own containerization and orchestration (Docker, Kubernetes) for all production workloads.

Build and maintain CI/CD pipelines and DevOps practices that let the team ship fast without breaking things.

Data Infrastructure

Design and manage data pipelines to process and analyze large volumes of documents and unstructured data at scale.

Build the infrastructure layer connecting AI agents to databases, vector stores, and enterprise systems (ERP, CRM).

API & Systems Integration

Build and maintain robust, well-documented APIs connecting AI agents with external systems and enterprise software.

Design for reliability: retries, observability, and graceful degradation across distributed systems.

Security and Compliance

Implement authentication and authorization mechanisms (OAuth2, JWT) to secure AI-driven systems.

Ensure compliance with data privacy standards (e.g. GDPR, HIPAA) and drive best practices for secure data handling across the infrastructure.

Monitoring and Optimization

Build observability and monitoring systems to track infrastructure health, performance, and cost.

Continuously optimize system performance for speed, reliability, and cost-efficiency at scale.

Collaboration

Work closely with AI/ML engineers, product, and the founding team to make sure infrastructure decisions support fast iteration and production-grade reliability.

Participate in code reviews, design discussions, and architecture planning to drive infrastructure strategy.

We are a well-funded, early-stage startup building our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions.

You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow.

Your Impact
Customer Onboarding & Process Analysis

Engage with customers post-close to understand workflows, operational processes, and deployment requirements.

Translate findings into clear implementation plans for AI-powered solutions.

Data, AI Models & Workflow Development

Partner with customers to assess data readiness and gather inputs for AI workflows.

Configure and integrate AI components into tailored, AI-driven workflows.

Collaborate with R&D to close data gaps and extend product capabilities when needed.

Deployment & Proof of Value

Own end-to-end solution deployment and ensure models meet performance and business value expectations.

Define success metrics and drive adoption post-launch.

Integration, Security & Rollout

Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.

Guide customers through security, compliance, and IT approval processes.

Plan and execute rollout to drive smooth implementation and adoption.

We are seeking a skilled and experienced Network Expert to join our team.
The Network Expert will be responsible for designing, implementing, and maintaining our organization's network infrastructure.
This role requires strong technical expertise in network architecture, protocols, security, and troubleshooting.
The ideal candidate will have a passion for technology, excellent problem-solving skills, and the ability to work well both independently and as part of a team.