Olive

We are looking for a Senior Software Engineer for our client, a US-based wellness-tech startup building an AI-powered platform for salons and wellness centers.

The product combines machine learning, recommendation systems, diagnostics, eCommerce, and operational tooling into a single ecosystem used by real businesses and customers.

The platform analyzes customer data and questionnaire inputs to generate personalized treatment and product recommendations through a custom AI service built with Python, ML models, and Elasticsearch. The engineering team is continuously improving recommendation accuracy, integrating new AI capabilities, and scaling the infrastructure as the product grows.

This is an opportunity to join a small, product-focused team where engineering has direct impact on the business and where developers are expected to contribute across the entire platform, from AI integrations and backend architecture to cloud infrastructure and customer-facing features.

Responsibilities

* Maintain and improve a Python-based AI recommendation service

* Integrate and improve ML/AI models in production environments

* Improve Elasticsearch-based recommendation and search logic

* Continuously improve recommendation accuracy based on business requirements and user data

* Develop backend services using Node.js / TypeScript

* Build frontend functionality using React

* Manage AWS infrastructure and deployment workflows

* Improve CI/CD and overall platform reliability

* Work on integrations with external systems including Shopify

* Participate in architecture decisions and long-term technical planning

Tech Stack

Python, TensorFlow (or similar ML frameworks), Elasticsearch / OpenSearch, TypeScript, Node.js / NestJS, React, AWS, PostgreSQL, Redis, Docker, GitHub Actions / CI/CD.

Requirements

* Strong commercial experience with Python

* Experience working with TensorFlow or similar machine learning frameworks

* Experience integrating AI/ML models into production systems

* Strong experience with Elasticsearch, OpenSearch, or Solr

* Strong experience with TypeScript and Node.js

* Experience building frontend applications with React

* Strong AWS experience

* Experience with Docker, Linux, and CI/CD workflows

* Strong understanding of APIs and backend architecture

* Experience working in startup or product-focused environments

* Advanced English communication skills

Nice to Have

* Experience with recommendation engines or AI-powered personalization systems

* Shopify integration experience

* Experience with Terraform, CloudFormation, or AWS CDK

* Native Android development experience (Kotlin preferred)

* Experience using AI coding assistants such as GitHub Copilot, Cursor, Claude Code, etc.

What They’re Looking For

The company is looking for a long-term engineering hire who can take ownership of the product and help lead the technical development of the platform as the company scales.

The immediate priorities are heavily focused on the AI recommendation service, ML integrations, and Elasticsearch-based recommendation infrastructure. Over time, the engineer will also contribute across backend development, infrastructure, integrations, and overall platform evolution.

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.

Our client is a growing Amazon management agency handling end-to-end Amazon operations for consumer brands. We don’t just manage ads. We manage businesses — revenue, inventory, listings, strategy, and growth. Our clients trust us with the full P&L of their Amazon operations. We are now hiring a senior operator who can: Own results, Execute strategy hands-on, Grow into a team leadership role

Location: Remote
Employment Type: Full-Time
Working Hours: Flexible (Core overlap with US EST/PST or Israel time required)

About the Role
This is a hands-on senior account management role that evolves into leadership. You will start by working directly with the founder, owning performance across client accounts. As the agency scales, you will transition into leading and directing the team built around you.
This role requires someone who can both do the work and later lead others to do it.

Phase 1: Hands-On Execution
Full ownership of account results (Revenue, TACOS, Profit)
Diagnose performance gaps
Execute tactical actions weekly
Monitor KPIs daily
Conduct monthly performance reviews
Coordinate with PPC, creatives, and operational support
You are accountable for results from day one.

Phase 2: Team Leadership
Lead execution across multiple accounts
Maintain quality and performance standards
Build and enforce SOPs
Direct new team members
Own portfolio-level results

What You’ll Own
Account Performance
Revenue growth
TACOS optimization
Profitability improvement
Performance diagnostics
Weekly action planning
KPI tracking and deviation correction
Brand & Marketplace Management
Listing optimization (Titles, Bullets, A+, CVR)
PPC management (SP, SB, SD)
Competitive positioning
Market research & keyword analysis
Inventory performance tracking
Team Coordination
Cross-functional coordination (PPC, creatives, catalog)
SOP creation and improvement
Quality control
Communication with founder on strategy and risks

Must-Have Requirements
5+ years real Amazon Seller Central experience
Experience managing multiple accounts simultaneously
Deep knowledge of Amazon PPC (SP, SB, SD)
Listing optimization expertise
Strong KPI fluency (TACOS, CVR, CTR, CPC, ACOS)
Experience with inventory tracking
Experience working with SOPs
Strong English (written and spoken)
Highly organized and reliable

Strong Advantage
Agency experience
Helium 10 (Cerebro, X-Ray, keyword research)
Flat files & bulk listing edits
Sellerboard or profit tracking tools
Inventory forecasting tools
Walmart / Shopify / TikTok Shop exposure
AI tools for automation and content

We are hiring a UI/UX Designer with strong Design System expertise to help standardize and optimize the visual language across multiple digital platforms. This is a hands-on execution role focused on organizing, refining, and scaling a unified Design System for Web, iOS, and Android products. This is not a pure product design role. The main focus is creating and maintaining a scalable cross-platform UI system that improves consistency, speed, and collaboration between design and development teams.

Details
Location: Remote
Employment Type: Contract / Part-Time Project-Based
English Level: Fluent
Start Date: ASAP

About the Role

You will work closely with the internal product designer and development team to improve and systemize the current UI architecture. The goal is to establish a structured and reusable Design System that supports Web, iOS, and Android platforms simultaneously.

The project is already in progress, so this is not a “from scratch” role. Instead, you will help organize, standardize, and expand existing UI patterns and components into a scalable system.

What You’ll Own

Design System Development

Build and maintain a unified Design System across Web, iOS, and Android

Create reusable UI components, patterns, and documentation

Standardize typography, spacing, colors, grids, buttons, forms, tables, and atomic elements

Ensure visual consistency across all platforms

UI/UX Collaboration

Work closely with the existing product designer in tandem

Collaborate with frontend developers to ensure proper implementation

Align UI behavior and component logic across platforms

Improve handoff processes between design and engineering

System Optimization

Audit and organize existing UI components and flows

Reduce design inconsistencies and duplicated elements

Improve scalability and maintainability of the design architecture

Help speed up future product development through reusable structures

Documentation & Structure

Create clear documentation for components and usage

Organize design libraries and naming conventions

Maintain scalable Figma structures and component hierarchies

Must-Have Requirements

Strong experience building and maintaining Design Systems

Experience designing products for:

Web

iOS

Android

Strong understanding of:

Atomic Design principles

UI consistency

Component architecture

Responsive/adaptive design

Advanced Figma skills (components, variants, auto-layout, libraries)

Experience collaborating directly with developers

Ability to estimate workload and structure UI tasks independently

Strong attention to detail and system thinking

Nice to Have

Experience working in SaaS or startup environments

Understanding of frontend frameworks/components

Experience with design tokens and scalable UI architecture

Previous experience optimizing existing Design Systems rather than creating from zero

Experience working in fast-moving product teams

We are looking for a US-based Client Partner / Recruiting Business Development Manager who can help us convert warm and outbound leads into paying clients, manage client relationships, and support role delivery when needed.

We’re building an AI-powered recruiting service for US startups. We combine human recruiting expertise with AI-led candidate verification to help founders and hiring teams avoid wasting time on candidates who look strong on paper but fail in real conversations.

Lean base + meaningful performance upside.
Uncapped commission.

Ukrainian native speaker 

Fluent in English 

Hebrew as a plus 

Responsibilities:

• speak with founders, hiring managers, and operators;
• qualify client hiring needs;
• run intake calls;
• present our AI-powered recruiting model;
• follow up and close pilot clients;
• coordinate with sourcing and recruiting delivery team;
• help manage candidate/client communication;
• support placements when needed.

Requirements:

• experience in staffing, recruiting agency, executive search, or recruiting sales;
• strong English communication;
• Russian required or strongly preferred;
• Hebrew is a plus;
• comfortable with early-stage environment;
• sales mindset, but consultative and professional;
• ability to work with startup founders and hiring managers.

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 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