AI Jobs

Experience Requirements:

• 5+ years of experience in autonomous driving / robotics / motion planning / navigation

• Strong expertise in Path Planning and/or optimization-based planning methods

• Proven ability to lead technically in a hands-on role

• Strong C++ skills (Python is a plus)

• Experience in automotive production environments — advantage

Other Requirements:

• Strong problem-solving skills

• End-to-end ownership

• Experience with performance-critical code

Responsibilities:

• Lead the design and development of Path Planning algorithms

• Contribute directly to architecture, implementation, and debugging

• Build and evolve planning components

• Mentor and guide engineers within the planning team

• Develop and improve planning modules integrated with digital twin/edge-AI

Experience Requirements:

• 5+ years in embedded software architecture - Must

• Strong command of C++, Python, and embedded systems - Must

• Hands-on experience with SoC-based perception or planning systems - Must

• Experience with Linux/QNX, Git, Jira, UML, and SysML - Must

• Experience within the ADAS/AD domain – Advantage

Other Requirements:

• Exceptional analytical thinking and proactive ownership

• Ability to navigate complex system-level challenges

Responsibilities:

• Evolve high-level architecture for the ADAS/AD stack

• Map software components across CPUs, GPUs, NPUs, MCUs

• Ensure architecture is optimized for real-time embedded environments

• Lead selection and integration of DDS, ROS2, and AUTOSAR

• Review product requirements for feasibility and drive technical decomposition

Education Requirements:

• Ph.D. in Computer Science, Electrical Engineering, or another relevant field

Experience Requirements:

• Prior experience in leadership roles within R&D teams, or as VP R&D/CTO

• In-depth expertise in Vision AI (perception)

• Strong coding skills, preferably in Python and CPP

• Experience in real-time, physical-world applications

Other Requirements:

• Adaptability

• Technical Insight

• Collaborative Mindset

• Self-Driven

• Detail-Oriented

Responsibilities:

• Address complex AI challenges as a versatile 'joker card'

• Expedite projects and solve technical bottlenecks

• Provide specialized expertise as needed to accelerate outcomes

• Foster a culture of growth and technical excellence

• Collaborate closely with internal teams and guide staff

Education Requirements:

• B.Sc or M.Sc in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• 5+ years of hands-on experience in SW development for real-time systems

• Strong expertise in Python/C++ development

• Hands-on experience with ROS/ROS 2

• Prior experience in system-level development at major chip companies - Advantage

• Background in AI model deployment on edge platforms - Advantage

Other Requirements:

• Deep understanding of memory management and concurrency

• Strong problem-solving and debugging skills

Responsibilities:

• Design and develop infrastructure components for application groups

• Develop and maintain production-grade code for vehicles

• Profile, debug, and optimize platform infrastructure modules

• Integrate software components with hardware and other modules

• Create and maintain clear technical documentation

Benefits:

• Employee wellbeing and experience initiatives

• Company events

• Happy hours

• Gifts

• SWAG

Experience Requirements:

• 2+ years of proven experience as an Office Manager

• Hands-on involvement in employee experience and wellbeing

• Global experience supporting employees or initiatives across multiple locations

Other Requirements:

• Fluent English (written and verbal)

• Strong organizational and multitasking skills

• High service orientation

• Excellent interpersonal and communication skills

• Ability to work independently

Responsibilities:

• Serve as the face of the office by welcoming visitors

• Oversee day-to-day office operations

• Manage employee welfare and wellbeing initiatives

• Lead and support global employee experience activities

• Manage the CEO’s calendar

Education Requirements:

• Bachelor’s degree graduate

• Degree in Communications, Business Management, Economics, Marketing, or similar fields

Experience Requirements:

• Previous experience in a similar role or a relevant internship during studies - an advantage

Other Requirements:

• Native-level English - both spoken and written

• Proficient knowledge of Microsoft Office tools (Excel, PowerPoint)

• Social media enthusiast (TikTok, FB creatives, CGI, UGC)

• Design and creative background - an advantage

• PPC or organic marketing knowledge - an advantage

Responsibilities:

• Ownership of all creative and analysis-related projects

• Existing client adjustments based on additional requests

• Feature standardization and taxonomy for clients

• Studying new clients and introductory sessions

• Collect and analyze data from marketing campaigns

Experience Requirements:

• 5+ years of experience as a Product Manager in SaaS or tech

• Experience with marketing companies, ad-tech, mar-tech, or growth teams (advantage)

• Hands-on experience managing AI-driven or data-heavy products (advantage)

• Proven experience taking products from concept to MVP to scale

• Strong technical background

Other Requirements:

• Deep understanding of marketing funnels (paid campaigns/performance marketing)

• Analytical mindset with experience defining metrics

• Excellent communication and stakeholder management skills

Responsibilities:

• Own product areas end-to-end (discovery to scale)

• Define product vision, strategy, and roadmap

• Translate business and user problems into clear PRDs

• Work closely with engineering teams to scope and deliver features

• Partner with Product Design on user research and UX flows

Experience Requirements:

• Hands-on experience in generative AI or ML

• Experience integrating AI solutions with APIs and data pipelines

• Deep expertise in multimodal learning, generative models, or agent-based frameworks

• Previous experience in leading or mentoring AI/ML teams

• Strong programming skills in Python and SQL

Other Requirements:

• Understanding of cloud platforms (AWS, GCP, Azure)

• Knowledge of AI infrastructure and MLOps best practices

• Ability to operationalize AI-assisted development tools (GitHub Copilot, Cursor)

Responsibilities:

• Lead development and optimization of ML models for video/creative analysis

• Architect scalable AI/ML pipelines and infrastructure

• Guide research and experimentation initiatives

• Mentor and grow a team of ML engineers and data scientists

• Champion AI ethics, fairness, and explainability

Education Requirements:

• Bachelor’s degree in Computer Science, AI, ML, or related field

• Master’s or Ph.D. in Computer Science, AI, ML, or related field (bonus)

Experience Requirements:

• 5+ years of experience in software engineering

• Proven hands-on experience with Generative AI technologies

• Solid experience working with cloud platforms (AWS, GCP, Azure)

• Deep understanding of production environments (testing, monitoring, deployment)

• Experience with ML frameworks like TensorFlow, PyTorch (bonus)

Other Requirements:

• Proficient in Python and SQL

• Familiarity with Git, CI/CD, and DevOps principles

• Strong debugging skills

Responsibilities:

• Research, design, and implement state-of-the-art algorithms in Generative AI

• Bring prototypes into production with researchers & engineers

• Optimize algorithms for scalability, cost, and performance

• Translate business needs into algorithmic solutions

Education Requirements:

• BSc in Computer Science or Engineering degree (plus)

Experience Requirements:

• Minimum 7 years of full-stack development experience

• At least 2 years in a leadership role

• Strong experience with Node, React, Python, SQL

• Experience with cloud, DevOps, and modern tooling (GCP/AWS, K8s, Docker, CI/CD)

Other Requirements:

• Excellent problem-solving skills

• Strong communication skills

• Passion for innovation and AI technology

Responsibilities:

• Lead the R&D team in developing new features

• Oversee the end-to-end development lifecycle

• Ensure high-quality code and scalable architecture

• Mentor and support team members

• Troubleshoot and resolve complex technical challenges

Experience Requirements:

• Minimum 7 years of Fullstack Engineering experience

• Hands-on experience with Node.js, Javascript, React, SQL, Typescript

• Experience with AWS/GCP cloud services

• Previous experience from startups (bonus)

• Experience with Kubernetes, Flux, Docker (bonus)

Other Requirements:

• Strong methodology of testing, documentation and monitoring

• Ability to fix issues and improve codebase readability

• Team player and self-starter

Responsibilities:

• Design, develop, and own fullstack features end-to-end

• Contribute to architectural decisions

• Write clean, testable, and well-documented code

• Diagnose, debug, and resolve complex issues

• Participate in code reviews and knowledge sharing

Experience Requirements:

• 7+ years of software development experience in SaaS

• Strong experience with Node.js, Python and SQL

• In-depth knowledge of databases and schema design

• Expertise in API development and microservices

• Experience with containerization (Docker, Kubernetes)

Other Requirements:

• Familiarity with Google Cloud/AWS

• Experience with message queues (RabbitMQ, Kafka, SQS/pubsub)

• Experience with React (plus)

• Applied AI or video editing knowledge (big plus)

Responsibilities:

• Design, develop, and maintain robust backend systems

• Ensure scalability, performance, and security

• Collaborate with front-end and data teams

• Optimize platform infrastructure for data processing

• Contribute to architecture and system design decisions

Education Requirements:

• Bachelor’s or Master’s degree in Engineering, Data Science, Business, or a related field.

Experience Requirements:

• 5+ years of Product Management experience, ideally in a data-first company where data is the product.

• Strong customer-facing product experience, including discovery and translating needs into scalable solutions.

• High technical fluency and ability to work effectively with data developers, data scientists, and engineering teams.

• Experience building or managing data products used by AI agents, autonomous systems, or LLM-driven workflows.

• Proven ability to define product success metrics and track KPIs such as adoption, impact, accuracy, and coverage.

Other Requirements:

• Strong analytical mindset and experience using data to drive prioritization and roadmap decisions.

• Excellent communication and stakeholder management skills in a global, cross-functional environment.

Responsibilities:

• Own the strategy, vision, and roadmap for Explorium’s external data products.

• Lead customer discovery and translate insights into scalable product initiatives, requirements, and clear delivery plans.

• Drive prioritization across competing needs, balancing customer value, business impact, feasibility, and time-to-market.

• Lead the end-to-end data product lifecycle: discovery, definition, delivery, launch, adoption, and continuous improvement.

• Collaborate cross-functionally with Data Science, Engineering, Sales, CS, and Partnerships to validate use cases.

Experience Requirements:

• 3+ years of industry experience with building data-intensive platforms

• 3+ years of hands-on experience programming in Python

• Experience with working with complex data sets

• Experience with Databases, SQL and NoSQL, and Data modeling

• Experience working with cloud compute and storage services on AWS/GCP/Cloudflare

Other Requirements:

• Experience with TypeScript programming - advantage

• Experience with building Machine Learning models - advantage

• Experience with building with LLMs or transformer models - advantage

• Experience with designing data lakes - advantage

• Experience with building MCP servers - advantage

Responsibilities:

• Design and implement complex end-to-end data pipelines including data extraction, feature engineering, data quality and data serving

• Work with Large Language Models and AI agents to deliver high scale, high quality features for customers

• Build and maintain MCP servers and AI application infrastructure

• Take ownership of a true research project from POC to production

• Contribute to a wide variety of projects using a range of technologies and tools

Education Requirements:

• BSc or higher in Computer Science, Engineering, Mathematics, or another quantitative field

Experience Requirements:

• 8+ years of hands-on experience working with large-scale data systems in production environments

Other Requirements:

• Strong expertise in Python and SQL with experience building and optimizing batch and streaming pipelines

• Experience with AWS cloud services and Linux-based environments

• Mandatory hands-on experience with Apache Spark in production environments

• Mandatory experience running Spark on Kubernetes

• Mandatory hands-on experience with Apache Kafka, including Kafka connectors

Responsibilities:

• Lead the design, development, and ownership of scalable data pipelines (ETL/ELT)

• Collaborate closely with Product, Data Science, and full-stack/platform teams

• Build and optimize data workflows using Databricks, Spark (PySpark, SQL), and Kafka

• Implement and manage data architectures supporting real-time and batch processing

• Develop, integrate, and maintain data connectors and ingestion pipelines from multiple sources

Experience Requirements:

• 2+ years in SaaS sales

• Consistent achievement of quota in high-growth SaaS environments

• Familiarity with modern sales methodologies

Other Requirements:

• Self-starter

• Curious and creative

• Collaborative spirit

Responsibilities:

• Identify, generate, and close new business opportunities

• Lead outreach efforts via calls, emails, and social

• Develop content like presentations and playbooks

• Collect and interpret customer product feedback

• Leverage AI tools to boost sales productivity

Experience Requirements:

• 3–5+ years of experience in Customer Success or SaaS

• Experience leading onboarding and adoption efforts

• Strong relationship-building and stakeholder management skills

Other Requirements:

• Native or fluent English speaker

• Organized and detail-oriented

• Tech-savvy and comfortable with APIs

• Availability to support US clients during EST/PST

Responsibilities:

• Manage a portfolio of mid-market and enterprise customers

• Lead customer meetings including onboarding and QBRs

• Proactively identify risks to customer satisfaction and retention

• Build relationships with stakeholders from power users to C-level

• Act as the voice of the customer to influence product roadmap

Other Requirements:

• Strong execution mindset

• Highly organized and systems-oriented

• Relentlessly reliable

• Excellent communication skills

• Culture champion

Responsibilities:

• Own end-to-end operations across Israel and the US

• Coordinate office management, travel, and procurement

• Build and maintain scalable operational frameworks

• Lead onboarding and offboarding employee cycles

• Drive employee engagement and culture programs

Experience Requirements:

• 4+ years of high-level backend development experience

• Strong knowledge in DNS, HTTP, I/O, and Resource Management

• Experience with cloud services, Linux, and container technologies

• Skilled in implementing observability tools

• Experience with SQL and NoSQL databases

Other Requirements:

• Knowledge of distributed systems, throttling, backpressure, and circuit breakers

Responsibilities:

• Architect, develop, and test cloud-native microservices

• Engage with tech stacks including Kubernetes and Docker

• Enhance platform's core workflow engine

• Collaborate with cross-functional teams

• Lead best practices in observability

Experience Requirements:

• At least 4 years of experience as a DevOps Engineer

• Experience with AWS cloud infrastructure using IaC tools

• In-depth knowledge of containerized environments and Kubernetes

• Experience with CI/CD systems and automation tools

• Experience with observability systems

Other Requirements:

• Basic Python programming and shell scripting skills

• Familiarity with Go

• Experience with managing datastores

Responsibilities:

• Implement and manage CI/CD pipelines

• Provide engineering teams with observability tools

• Design and implement secure, scalable cloud infrastructure

• Proactively address potential issues and inefficiencies

• Promote a no-blame dev culture