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We're a well-funded, early-stage startup looking for a hands-on, highly organized Operations Manager to cover a 12-month maternity leave. You'll own office administration and employee experience for the company - the person who keeps the office running day to day and makes sure the team feels taken care of, from the coffee machine to company events.

This is a full-time, on-site role based out of our Tel Aviv office, with some remote support for our New York office.

Your Impact
Office Administration & Facilities

Manage day-to-day office environment and vendor relationships to ensure a seamless employee experience:

Day-to-day office management - kitchen, supplies, and maintenance (inventory, restocking, handling requests and shortages), furniture, and equipment troubleshooting. Managing the kitchen/cleaning staff and relationship.

Finance & Banking Operations - vendor payments (credit card/bank transfer), invoice & receipt approval, expense classification & reconciliation with bookkeeping, employee expense report approval, contractor payments, bank account operations (transfers, guarantees, permissions etc.), approving payments with leadership.

Vendor management and follow-through - end-to-end execution for delivery services, payments, coordination, and invoicing. Company insurance maintenance - policies issuance/renewal + tracking, COIs etc.

Ongoing procurement - computer equipment, employee and client gifts, and production/ordering of branded swag and print materials.

Travel and event logistics - hotel bookings, travel agency payments, and tracking flight details for insurance reporting.

Basic IT support - equipment, password resets, tool permissions, vendor comms and mgmt.

New York office support - provisioning equipment, tracking building access, and communicating with the local broker and leadership team.

Ad hoc requests - handling unscheduled operational asks and day-to-day troubleshooting from across the company.

Meeting scheduling - manage calendars and coordinate meeting scheduling for C-level executives, including QBR prep/maintenance. .

Employee Experience & Culture

Employee lifecycle moments - tracking and executing recognition and gifts for birthdays and work anniversaries.

People Ops support - Employee Onboarding & Offboarding (systems/tool access, permissions setup and revocation, equipment, coordination across stakeholders, SOC2 compliance etc.), ongoing HR-related support (incl. policy administration, budget management/tracking, and attendance.

Ongoing Operations - contributing to wellness and internal communications.

Company events and culture - plan and run company events, happy hours and team toasts, logistics, hosting, and purchasing food/supplies for regular events, plus manage swag inventory and coordinate client and employee gifting for company events and culture.

Marketing event operation support - vendor management & swag/branded materials for marketing and company events.

Product Operator is a hybrid role for someone with Python, SQL, or other development experience who wants to grow fast in a startup environment. Youll support our engineering and data teams, work on client insights, and get hands-on with our business needs. Beyond coding, youll act as the right hand to the CTO, helping drive both technical and business initiatives.

Responsibilities
Support engineering and data teams with coding, testing, and analysis

Provide insights from client data to guide product and business decisions

Assist with product management tasks

Take ownership of cross-team tasks that require a technical mindset

Partner closely with the CTO to move projects forward across the company

As a Data Scientist, youll be at the heart of the intelligence behind our product. Youll develop predictive models, analyze complex behavioral datasets, and collaborate across engineering and product to turn insights into real-time actions for our clients. This is a hands-on role with plenty of ownership and room to grow.

Responsibilities
Model Development
Design scalable ML models that predict customer churn, ideal purchase timing, product recommendations, and more.
Data Exploration & Feature Engineering
Structure and clean large datasets, develop features, and surface key behavioral patterns.
Collaborate with Engineering
Work closely with developers to implement models and ensure performance at scale.
Business Insight Generation
Turn data into actionable insights that drive product features and client decisions.

We are seeking a Data Analyst to drive data-informed decision-making and unlock insights that directly fuel our growth. Your mission will be to ensure smooth operations, optimize processes, and maximize efficiency across the organization. As our Data Analyst, you will work with large-scale datasets to identify trends and generate strategic insights. You will collaborate with cross-company teams to ensure the smooth maintenance and daily operations of our flagship product, while driving business analysis and identifying growth opportunities.
Every team member is a versatile contributor, shaping the product from user experience to development, and you will play the same integral role. We value passion for building products end-to-end, across UX, design, testing, and deployment, while always keeping the user experience at the center.
Responsibilities:
Analyze data in our flagship product to uncover trends and deliver actionable insights.
Build and maintain BI dashboards and reports for decision-making.
Design efficient processes and standards for streamlined operations.
Translate business questions into clear, measurable analyses.
Ensure data quality through risk evaluation and QA practices.
Monitor operational performance and recommend improvements.
Integrate and manage data structures to support growth and scalability.

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.

Our R&D team is seeking a Backend Developer to help construct and expand our core financial platform. In this role, you will collaborate with a talented team to optimize high-impact transactional systems-covering client billing for captured savings, invoice creation and collection, as well as payment reconciliation and processing.

We're backed by tier-1 global VCs, led by second-time founders, and moving fast because the problem demands it. There are no silos here. No "that's not my area." If it ships, you own it.
We're hiring a full-stack software engineer who wants end-to-end ownership - backend, frontend, infrastructure touchpoints, and AI-driven workflows.
If you're looking for narrow scope or strict boundaries, this is not the role. If you like building real systems and taking responsibility for outcomes, read on.
What you'll do:
Own features end-to-end - backend, frontend, APIs, and behavior in production
Build AI-native workflows:
Agent-driven actions
Human-in-the-loop interfaces
Explainability and control surfaces
Use Claude / Codex / AI copilots as default tools - not optional helpers
Work directly with product and customers to refine behavior
Debug production issues across the stack (no handoffs)
Ship fast, learn fast, fix fast
Take responsibility for what you build - including after it's live

We are looking for an experienced Software Team Leader to build and lead a new team focused on AI and agent technologies for enterprise data platforms.
This is a hands-on leadership role. The Team Leader will define the technical direction, build the first solutions, recruit engineers, and turn new AI ideas into production systems.
The main focus is AI agents, RAG, natural-language interaction, model integration, and intelligent workflows. Database technologies are an important foundation, but not the center of the role.

Responsibilities
Lead a new software engineering team.
Define the AI architecture, roadmap, and technical priorities.
Build AI agents that reason, use tools, and execute multi-step workflows.
Develop agent orchestration, state management, and workflow execution.
Build agent workflows for data analysis, automation, and decision support.
Integrate LLMs, embedding models, and model-serving platforms.
Develop tool and API integration for AI agents, including MCP where relevant.
Optimize AI systems for latency, throughput, cost, and scale.
Move successful prototypes into production-grade software.
Work closely with data, database, infrastructure, cloud, and product teams.

We're backed by tier-1 global VCs, led by second-time founders, and already deployed with organizations operating at serious scale. AI is not a feature here - it's the system.
We're hiring a Senior AI Engineer to design, fine-tune, and operate AI agents and large-scale models in production. This role exists because off-the-shelf models aren't enough for the problems we're solving.
If you enjoy pushing models until they break - and then fixing them - keep reading.
What you'll do:
Design and operate AI agents that reason, act, and collaborate with humans
Fine-tune and adapt large language models for:
Behavior analysis
Reasoning over long, messy timelines
High-precision enterprise workflows
Build agent orchestration systems (tool use, memory, planning, feedback loops)
Run large-scale inference and training pipelines in production
Work on model evaluation, drift detection, and continuous improvement
Optimize for latency, cost, and reliability at real enterprise scale
Partner closely with DevOps, security, and backend engineers - no research silos
Ship models that are auditable, explainable, and safe in sensitive environments

Were looking for an Operations Analyst to join our growing team , a fast-paced travel-tech startup transforming the way the travel industry operates through cutting-edge technology.
In this role, you'll be at the heart of our operations, ensuring that processes run smoothly, efficiently, and are continuously optimized. Youll work closely on our flag product, taking ownership of daily operations, data integrity, and customer health. Your responsibilities will include business analysis, identifying growth opportunities, and driving operational excellence.
This role is perfect for someone analytical, curious, and passionate about making an impact across multiple domains of the business. The position is based in Tel Aviv and Rehovot.
What You'll Do:
Monitor and maintain daily operations of our flagship product, ensuring all data-related tasks are completed accurately and on time.
Conduct customer and data investigations to uncover insights, optimize performance, and identify areas for improvement.
Perform customer health checks and develop strategies to maximize client satisfaction and engagement.
Analyze business processes and identify opportunities for operational improvements and efficiencies.
Implement standards and workflows to streamline operations and support company scale-up.
Collaborate with cross-functional teams to improve product flows and resolve operational challenges creatively.
Provide reports on operational performance and suggest actionable improvements.
Contribute to data structure integration and maintain high-quality data standards.

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

he industry leader in Autonomous Security Operations, is hiring a Senior Software Engineer to help build the platform that's redefining how cyber-security teams operate. This is a great opportunity for
experienced engineers who want to work on high-scale distributed systems and AI-driven workflows at a top-tier AI-first engineering company. The ideal candidate is a strong backend engineer who thrives on scale, performance, and cost challenges, and is excited to own features end-to-end.
Responsibilities:
Develop a best-in-class AI SOC platform that automates SOC tasks using AI, automated forensics, threat intelligence, and comprehensive analysis
Build and integrate AI workflows in a big data system that processes massive, continuously growing volumes of data daily
Own the full feature cycle, from research and design through to deployment and production monitoring
Tackle scale, performance, and cost challenges at every layer of the stack
Join a team of talented engineers who strive to make a huge impact on our users and product

Were looking for a Senior Product Manager to join us and lead strategic product initiatives from concept to launch. Youll own one of the products core domains end to end and play a key role in keeping Intezer at the forefront of the AI SOC category. Youll work closely with customers, security researchers, engineers, and company leadership to define product strategy, identify market opportunities, and solve real customer problems. Its an exciting time to join as we keep scaling and expanding the boundaries of whats possible in SecOps, while working at the forefront of cybersecurity, AI, and product building.
Responsibilities:
Own product strategy, roadmap, and execution for one of our key domains end to end
Deeply understand customer needs through direct conversations, feedback loops, and market research
Translate complex detection & response challenges and AI concepts into intuitive product experiences
Define product requirements and success metrics, and work closely with engineering to navigate toward the required business outcomes
Drive product launches and support go-to-market efforts alongside Product Marketing and Sales
Analyze product usage, customer feedback, and market trends to continuously improve the product

we are looking for a Senior Demand Generation Manager.
You'll own online demand generation . That means paid channels, sponsorships, influencer partnerships, ABM, email, webinars and being responsible for inbound conversion through our website. It's a hands-on role with real budget ownership and a lot of room to experiment, try new tools and tactics and deliver ROI and leads that convert to pipeline. You will work hand in hand with sales, Content/PMM, Field and GTM ops to build awareness and pipeline .
Responsibilities:
Manage paid acquisition on paid channels such as LinkedIn, Google Ads, etc, ideally without the need to outsource to an agency
Own website conversion rates, create and improve demo request and landing pages
Run demand gen programs end to end such as influencer campaigns, content sponsorships, paid podcasts and webinars
Build and run email programs, considering effective ways to build our database while ensuring high engagement without spamming
Work with field marketing on event promotion and ABM campaigns
Consult with Product Marketing on organic social performance
Manage the marketing budget across channels and programs
Test AI tools and build AI agents to automate and improve marketing work

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