Olive

We are hiring a Senior Full Stack Engineer for an Israeli deep tech company building a large-scale real-time infrastructure monitoring platform.

The company develops advanced technology that transforms existing fiber optic networks into real-time sensor systems capable of monitoring critical infrastructure such as power grids, pipelines, railways, secured facilities, and perimeter assets across thousands of kilometers.

The platform combines distributed sensing technology, machine learning, and cloud-native infrastructure to detect anomalies, threats, and operational events in real time.

This is not a typical CRUD SaaS product.

The system processes continuous streams of sensor and telemetry data and delivers operational intelligence through complex dashboards, live alerts, monitoring workflows, and map-based interfaces used daily by enterprise customers and field operators.

The stack includes:

* Next.js

* NestJS

* TypeScript

* AWS

* Kubernetes

* Docker

The frontend is a critical part of the platform and includes:

* real-time operational dashboards

* map-based monitoring interfaces

* alerting systems

* large-scale data visualization

* complex state-heavy workflows

We are looking for a strong engineer who can independently own complex features end-to-end, from architecture and backend implementation to frontend delivery and production deployment.

Responsibilities

* Design and build complex full stack features end-to-end

* Develop scalable frontend applications using Next.js and React

* Build backend services and APIs using Node.js, TypeScript, and NestJS

* Work on real-time dashboards, operational workflows, and map-based interfaces

* Participate in architecture and technical decision-making

* Collaborate closely with product and engineering teams

* Optimize application performance, scalability, and reliability

* Take ownership of features from concept to production

* Use AI-powered engineering tools to accelerate development and improve code quality

Requirements

* 7+ years of experience as a Full Stack Engineer

* Strong hands-on experience with TypeScript across frontend and backend

* Strong experience with Next.js and modern React ecosystem

* Solid backend development experience with Node.js and NestJS

* Experience building complex production systems, not only simple CRUD applications

* Experience working with map-based interfaces or geospatial visualization

* Experience with AWS production environments

* Experience with Docker and cloud-native infrastructure

* Experience with Cypress or similar testing frameworks

* Strong understanding of architecture, scalability, and system design

* Strong ownership mindset and ability to independently drive features

* English level B2 or higher

Nice to Have

* Experience with Kubernetes

* Experience with real-time systems or event-driven architectures

* Experience with operational dashboards or monitoring systems

* Experience with data-heavy enterprise products

* Experience with microservices

* Experience with Python or Dash

Engineering Culture

The engineering team actively uses AI-powered development workflows as part of daily development. Engineers work with modern AI coding tools including Claude Code to accelerate implementation, improve code quality, and increase development velocity. The company provides engineers with access to AI development tooling as part of the standard engineering workflow.

This is a fully remote long-term opportunity to work on a technically advanced deep tech product solving real-world infrastructure and security challenges at global scale.

We are building a next-generation, adaptive route planning engine designed for extreme logistics complexity. Unlike traditional static optimization models, our system evolves by learning from human expertise. We capture the manual adjustments made by dispatchers and transform that “implicit knowledge” into scalable algorithmic assets.

We are looking for a versatile Data Scientist who thrives at the intersection of Optimization (OR) and Machine Learning. You will own the full ML lifecycle—from deep-dive data analysis and sophisticated feature engineering to selecting and implementing the right architectures (from Decision Trees to Transformers/RL) to bridge the gap between automated planning and human intuition.

Details: 
Start: ASAP 
Experience: 4+ years 
Schedule: Full time remote 
Mode: Fist 1-2 months - part time with future allocation to full time mode.

Key Responsibilities
Human-in-the-Loop Learning: Develop models that analyze the delta between algorithmic outputs and manual human corrections to “learn” implicit constraints and preferences.
Complex Constraint Satisfaction: Work on Large-scale Vehicle Routing Problems (VRP) involving multi-layered constraints and complex clustering.
End-to-End ML Ownership: Lead the entire pipeline: sophisticated data normalization, advanced feature engineering, model selection, training, and evaluation.
Strategic Analytics: Implement analytical frameworks (e.g., Balanced Scorecard approaches) to quantify performance and align model behavior with business KPIs.
Algorithmic Research: Experiment with diverse approaches including Gradient Boosted Trees, Attention mechanisms, and potentially Reinforcement Learning to capture the nuances of logistics planning.

Required Qualifications
Experience: 4+ years of experience as a Data Scientist or ML Engineer, with a proven track record of taking models from research to production.
Optimization Expertise: Strong understanding of optimization problems (VRP/TSP), heuristics, and working with complex constraints. Familiarity with tools like Google OR-Tools is a major plus.
Machine Learning Depth: Solid grasp of supervised learning and a willingness to explore Imitation Learning or RL.
Feature Engineering Mastery: You believe that data preparation and creative feature engineering are the keys to a model’s success. Expert-level Python and SQL skills are a must.
Architectural Flexibility: Ability to match the right tool to the problem—whether it’s a simple Decision Tree for early-stage wins or a Transformer-based architecture for complex sequence modeling.
Analytical Mindset: Experience in defining and tracking complex metrics; ability to perform “smart analysis” to find patterns in human behavior.

Bonus Points
Experience in the logistics or supply chain domain.
Background in Geospatial data.
Experience with Cloud Infrastructure (AWS Bedrock, SageMaker, etc.).

We are hiring a Data Analyst for one of our Israeli clients — a global leader in web data solutions. The company builds and operates large-scale infrastructure that enables organizations to collect, process, and analyze online data at scale. Their products are used by hundreds of leading enterprises worldwide, across sectors such as e-commerce, cybersecurity, fintech, and market research. The organization operates in a high-volume data environment, where analytics play a critical role in product, operations, and strategic decision-making.

As a Data Analyst, you will be part of a cross-functional team, working closely with product managers, engineers, and business stakeholders. You’ll be responsible for uncovering insights, enabling data-driven decisions, and supporting the company’s rapid growth through high-quality analytics and reporting.

Key Responsibilities:

Business Understanding & Data Analysis:

– Understand complex business processes and translate them into analytical questions

– Perform in-depth analysis of operational and product data to identify trends, patterns, and opportunities

– Collaborate with stakeholders to define KPIs and monitor performance

Data Compilation & Reporting:

– Aggregate, clean, and structure data from multiple systems and sources

– Build and automate recurring reports to support business operations

– Translate business requirements into actionable and scalable data solutions

Data Visualization:

– Design intuitive dashboards and visualizations using BI tools such as Tableau or Power BI

– Present findings in a clear and structured manner to both technical and non-technical audiences

Requirements:

– 2–5 years of experience as a Data Analyst or in a similar analytical role

– Proficiency in SQL, including complex queries, joins, and aggregations

– Strong analytical thinking and the ability to independently solve data-related challenges

– Bachelor’s degree in Industrial Engineering, Data Science, Computer Science, or a related field

Nice to Have:

– Experience with Python or R for analysis and scripting

– Hands-on experience with BI tools such as Tableau, Power BI, or similar platforms

– Familiarity with statistical analysis and modeling techniques

This is an opportunity to work with a product-led company at the forefront of big data and infrastructure. You’ll join a culture that values precision, ownership, and clarity, and where data is central to decision-making across all departments.

We are hiring a Data Analyst for one of our Israeli clients — a global leader in web data solutions. The company builds and operates large-scale infrastructure that enables organizations to collect, process, and analyze online data at scale. Their products are used by hundreds of leading enterprises worldwide, across sectors such as e-commerce, cybersecurity, fintech, and market research. The organization operates in a high-volume data environment, where analytics play a critical role in product, operations, and strategic decision-making.

As a Data Analyst, you will be part of a cross-functional team, working closely with product managers, engineers, and business stakeholders. You’ll be responsible for uncovering insights, enabling data-driven decisions, and supporting the company’s rapid growth through high-quality analytics and reporting.

Key Responsibilities:

Business Understanding & Data Analysis:

– Understand complex business processes and translate them into analytical questions

– Perform in-depth analysis of operational and product data to identify trends, patterns, and opportunities

– Collaborate with stakeholders to define KPIs and monitor performance

Data Compilation & Reporting:

– Aggregate, clean, and structure data from multiple systems and sources

– Build and automate recurring reports to support business operations

– Translate business requirements into actionable and scalable data solutions

Data Visualization:

– Design intuitive dashboards and visualizations using BI tools such as Tableau or Power BI

– Present findings in a clear and structured manner to both technical and non-technical audiences

Requirements:

– 2–5 years of experience as a Data Analyst or in a similar analytical role

– Proficiency in SQL, including complex queries, joins, and aggregations

– Strong analytical thinking and the ability to independently solve data-related challenges

– Bachelor’s degree in Industrial Engineering, Data Science, Computer Science, or a related field

Nice to Have:

– Experience with Python or R for analysis and scripting

– Hands-on experience with BI tools such as Tableau, Power BI, or similar platforms

– Familiarity with statistical analysis and modeling techniques

This is an opportunity to work with a product-led company at the forefront of big data and infrastructure. You’ll join a culture that values precision, ownership, and clarity, and where data is central to decision-making across all departments.

We are looking for a Senior Full Stack Developer on behalf of our client, an Israeli deep tech company building a cloud-native platform for monitoring critical infrastructure at scale. The company operates at the intersection of industrial intelligence, real-time monitoring, and enterprise software, helping utilities, energy providers, and infrastructure operators detect threats, anomalies, and operational events across pipelines, power lines, railways, and perimeter assets. Its production platform processes continuous streams of sensor data, applies machine learning-driven classification, and delivers actionable insights through a sophisticated command-and-control interface integrated with enterprise systems such as SCADA and Digital Twins.

In this role, you will work across the stack with a strong frontend focus, building the user-facing applications that power maps, dashboards, real-time alerts, and operational workflows used daily by enterprise customers and field teams. This is a long-term opportunity to contribute to a live, technically advanced product with real-world impact and large-scale deployment.

Responsibilities:

• Design and deliver scalable, high-performance full stack applications from architecture through production.

• Build modern, responsive, and data-rich frontend applications using Next.js, React, TypeScript, and component-driven UI approaches.

• Develop backend services, APIs, and business logic with NestJS in a cloud-native environment.

• Own frontend-heavy features end to end, including architecture, implementation, testing, deployment, and ongoing optimization.

• Create intuitive user experiences for complex operational data, including geospatial and map-based interfaces, dashboards, and alerting workflows.

• Collaborate closely with product managers, R&D teams, and domain experts to translate technical and operational needs into robust software solutions.

• Improve performance, reliability, scalability, and security across AWS-based infrastructure running on Docker and Kubernetes.

• Leverage modern AI-assisted engineering tools to accelerate development, enhance code quality, and improve delivery efficiency.

• Participate in architectural discussions, code reviews, and engineering best practices while mentoring other developers.

Requirements:

• 7+ years of experience as a Full Stack Developer or in a similar senior software engineering role.

• Strong hands-on expertise in frontend development with Next.js, React, and the broader TypeScript ecosystem.

• Proven experience building complex, data-heavy, user-centric web applications with a strong emphasis on performance and usability.

• Solid backend development experience with NestJS, RESTful APIs, and service-oriented or microservices-based architectures.

• Excellent proficiency in TypeScript across both frontend and backend layers.

• Hands-on production experience with AWS services such as Lambda, ECS or EKS, S3, RDS, and related cloud-native infrastructure patterns.

• Strong experience with Docker and Kubernetes for containerization, orchestration, and scalable deployment.

• Experience working with modern UI libraries and design systems such as Chakra UI or similar component frameworks.

• Practical experience with Cypress or comparable testing frameworks for end-to-end and frontend testing.

• Experience building map-based or geospatial interfaces and visualizing real-time operational data.

• Familiarity with SQL and/or NoSQL databases and sound understanding of data modeling for high-throughput systems.

• Strong understanding of system design, scalability, reliability, and secure software development practices.

• Active experience using AI-powered developer tools such as Claude Code, Code Rabbit, or similar to improve engineering productivity and code quality.

• Relevant higher technical education in Computer Science, Software Engineering, or a related field.

• Upper-Intermediate or higher English communication skills, with the ability to work effectively in cross-functional international teams.

• Strong ownership mindset, excellent problem-solving abilities, and readiness to take full responsibility for end-to-end feature delivery.

• Experience thriving in startup or fast-paced product environments.

Nice to have:

• Experience with microservices architecture in cloud-native production systems.

• Familiarity with Python and Dash for data-centric or analytical applications.

• Background in performance optimization, distributed systems, or real-time event-driven platforms.

• Experience integrating enterprise environments such as SCADA systems, Digital Twins, or industrial monitoring platforms.

This position is ideal for a senior engineer who enjoys owning meaningful product features, solving complex technical challenges, and building software that supports the safety, resilience, and operational efficiency of critical infrastructure worldwide.

We are looking for a Delivery Manager to lead day-to-day operations of AI data projects for a fast-growing company working with global clients on real-world AI systems.

This is a highly operational, execution-focused role. It is not a traditional project management position. You will work in a dynamic environment with multiple parallel workflows, constant incoming requests, and rapidly shifting priorities.

The company operates at the intersection of AI and data, supporting machine learning pipelines through large-scale data annotation, validation, and processing. Projects are live, high-impact, and require fast, precise coordination across distributed teams.

Key responsibilities:

• Manage 10–20 active projects simultaneously, ensuring smooth execution across all stages

• Act as the main escalation point for clients and maintain clear communication

• Coordinate internal teams including annotators, QA, and project coordinators

• Respond quickly to incoming requests from clients and internal stakeholders

• Continuously reprioritize tasks based on changing requirements

• Ensure data quality meets client expectations

• Identify risks early and act fast without over-engineering solutions

What we are looking for:

• 2–5 years of experience in operations, project management, or similar roles

• Experience in AI data, data annotation, BPO, or high-load environments is a strong plus

• Ability to handle multiple parallel workflows and frequent context switching

• Comfortable working with incomplete information and making decisions fast

• Strong communication skills and ability to stay calm under pressure

• Execution-first mindset, focused on getting things done

What is important to understand:

• This is a fast-paced, operations-heavy role

• High volume of communication across Slack, email, and client channels

• Priorities change constantly

• Success depends on speed, adaptability, and decision-making

What we offer:

• Competitive compensation

• Hands-on experience with AI data operations

• Work with international clients on real production projects

• Full ownership and direct impact on delivery results

We are building a next-generation, adaptive route planning engine designed for extreme logistics complexity. Unlike traditional static optimization models, our system evolves by learning from human expertise. We capture the manual adjustments made by dispatchers and transform that “implicit knowledge” into scalable algorithmic assets.

We are looking for a versatile Data Scientist who thrives at the intersection of Optimization (OR) and Machine Learning. You will own the full ML lifecycle—from deep-dive data analysis and sophisticated feature engineering to selecting and implementing the right architectures (from Decision Trees to Transformers/RL) to bridge the gap between automated planning and human intuition.

Details:

Start: ASAP

Experience: 4+ years

Schedule: Full time remote

Mode: Fist 1-2 mont - part time with future allocation to full time mode.

Key Responsibilities

Human-in-the-Loop Learning: Develop models that analyze the delta between algorithmic outputs and manual human corrections to “learn” implicit constraints and preferences.

Complex Constraint Satisfaction: Work on Large-scale Vehicle Routing Problems (VRP) involving multi-layered constraints and complex clustering.

End-to-End ML Ownership: Lead the entire pipeline: sophisticated data normalization, advanced feature engineering, model selection, training, and evaluation.

Strategic Analytics: Implement analytical frameworks (e.g., Balanced Scorecard approaches) to quantify performance and align model behavior with business KPIs.

Algorithmic Research: Experiment with diverse approaches including Gradient Boosted Trees, Attention mechanisms, and potentially Reinforcement Learning to capture the nuances of logistics planning.

Required Qualifications

Experience: 4+ years of experience as a Data Scientist or ML Engineer, with a proven track record of taking models from research to production.

Optimization Expertise: Strong understanding of optimization problems (VRP/TSP), heuristics, and working with complex constraints. Familiarity with tools like Google OR-Tools is a major plus.

Machine Learning Depth: Solid grasp of supervised learning and a willingness to explore Imitation Learning or RL.

Feature Engineering Mastery: You believe that data preparation and creative feature engineering are the keys to a model’s success. Expert-level Python and SQL skills are a must.

Architectural Flexibility: Ability to match the right tool to the problem—whether it’s a simple Decision Tree for early-stage wins or a Transformer-based architecture for complex sequence modeling.

Analytical Mindset: Experience in defining and tracking complex metrics; ability to perform “smart analysis” to find patterns in human behavior.

Bonus Points

Experience in the logistics or supply chain domain.

Background in Geospatial data.

Experience with Cloud Infrastructure (AWS Bedrock, SageMaker, etc.).

We are looking for a hands-on AI content creator focused on generative AI tools for video, image, and sound production. The role is execution-oriented. The main responsibility is creating AI-generated visual content based on scripts or instructions, working within a remote production team.

Responsibilities

Create short AI-generated video scenes (10–60 seconds)

Work with generative AI tools for image, video, and audio generation

Execute creative tasks based on scripts or instructions

Produce variations and iterations of AI-generated content

Experiment with different AI tools and workflows

Work under guidance of senior/middle creative leads

Required skills

Strong practical experience with generative AI tools

Experience with AI video generation tools (e.g. Runway, Pika or similar)

Experience with AI image generation tools (e.g. Midjourney, Stable Diffusion or similar)

Basic understanding of audio or sound generation tools

Ability to independently execute assigned tasks

Practical, hands-on mindset focused on production, not theory

Language requirements

Basic English required for communication and understanding tasks

Premiere Pro knowledge and experience is a plus

Nice to have

Portfolio of AI-generated video or visual content

Experience with short-form content creation

Personal experimental AI projects

We are looking for a mid-level AI video creator who combines strong generative AI production skills with an understanding of cinematic storytelling. The role involves creating structured AI-driven video content, including short dramatic scenes and experimental visual projects. You will work with creative direction but are expected to operate with a high level of autonomy.

Responsibilities

Create AI-generated video scenes and sequences (including projects up to 5+ minutes)

Translate scripts into visual content using generative AI tools

Combine image, video, and sound generation into coherent scenes

Develop visual storytelling based on creative direction

Work independently on assigned creative tasks

Contribute to improving AI production workflows

Collaborate with senior creative leads and follow production standards

Required skills

Strong experience with generative AI tools for content creation, including:

AI video generation tools (Runway, Pika or similar)

AI image generation tools (Midjourney, Stable Diffusion or similar)

Audio or sound generation tools

Proven ability to produce finished AI video content

Understanding of storytelling, pacing, composition, and visual structure

Ability to work independently without step-by-step instructions

Experience delivering complete AI-driven creative projects

Premiere Pro knowledge and experience is a plus

Experience

Experience in one or both of the following:

AI video/content creation

Film, video production, or digital storytelling combined with AI tools

Bonus Skills

Experience with AI audio/music tools (e.g., ElevenLabs, Udio, Suno).

A "hacker" mentality—someone who loves testing new tools the day they drop.

Background in film production, advertising, media, or digital content creation

Language requirements

Good English required for reading scripts

Experience working in remote creative teams in English

Ideal candidate profile

A self-sufficient AI video creator capable of turning scripts into structured visual narratives using generative AI tools, with both technical execution skills and basic cinematic understanding.

Portfolio with relevant work is required.

Strong personal creative projects using AI tools

1–5 minute AI video or experimental film in portfolio

Instagram profile with updated videos

Explanation of what was your responsibility in the video creation

We are looking for a visionary Film Director & Showrunner to lead the creation of high-end short-drama series. This role is for a cinematic powerhouse who understands deep storytelling, blocking, and dramatic structure, but is also ready to embrace Generative AI as their primary production engine. You don’t need to be a software engineer, but you must be digitally native and tech-curious. We need a storyteller who can translate a traditional director’s "eye" into the world of AI-assisted filmmaking, turning scripts into seamless, prestige-quality visuals.

The Role

As the lead creative, you will act as a one-person studio. You’ll take a project from concept to final master, using AI tools to build worlds, maintain character consistency, and direct virtual "performances". You are the bridge between classic film theory and the future of automated production.

Responsibilities

Showrunning & Vision:

Lead the narrative strategy and maintain a cohesive "look and feel" across a complete short drama series.

Directorial Leadership: Apply your mastery of lighting, composition, and performance to AI outputs, ensuring they mirror the quality of high-end television.

Creative Asset Management: Use AI-assisted tools to build storyboards, shot lists, and backplates that align with your directorial vision.

Technical Execution: Personally responsible for the final "director’s cut". While you’ll have support, you should be comfortable getting hands-on with generation, assembly, and refinement.

VFX & Polish: Oversee (and perform) the cleanup of AI artifacts to ensure visual consistency and a seamless cinematic experience.

Ethical Oversight: Ensure all content meets brand guidelines and respects intellectual property standards.

Requirements

Professional Directing Background: Proven experience as a Film Director or Showrunner with a portfolio that demonstrates a deep grasp of "the language of film.

Cinematic Mastery: An expert understanding of film theory, pacing, and how to evoke human emotion through a lens.

Tech-Savvy Mindset: You should have a basic, functional understanding of AI tools (like Midjourney, Runway, or Luma) and a massive appetite to learn more. You aren't afraid of new interfaces or evolving workflows.

NLE Proficiency: Expert-level skills in industry-standard software like Adobe Premiere Pro, DaVinci Resolve, or Avid.

Post-Production Knowledge: High-level proficiency in After Effects or similar tools for masking, compositing, and "fixing it in post.

Adaptability: The ability to find creative workarounds for the current limitations of AI technology.

Bonus Skills

Experience with AI audio/music tools (e.g., ElevenLabs, Udio, Suno).

A "hacker" mentality—someone who loves testing new tools the day they drop.

Language requirements

Good English required for reading scripts

Experience working in remote creative teams in English

Portfolio with relevant work is required

Strong personal creative projects using AI tools

1–5 minute AI video or experimental film in portfolio

Instagram profile with updated videos

Explanation of what was your responsibility in the video content