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

Benefits:

• A key leadership role in a cutting-edge Automotive AI startup

• High level of ownership and impact on customer success

• Close collaboration with world-class R&D and Product teams

• Opportunity to build and lead local operations

Education Requirements:

• Strong technical background (Engineering, Computer Science, or similar)

Experience Requirements:

• Experience working with complex systems (automotive, ADAS, or AI)

• Proven ability to manage projects across multiple stakeholders

• Experience working directly with customers or external partners

• Leadership experience managing on-site or cross-functional teams

Other Requirements:

• Hands-on, execution-oriented mindset

• Strong communication skills in English

• Comfortable in a dynamic, fast-paced startup environment

• Experience with field operations - Advantage

Responsibilities:

• Lead and execute customer testing activities towards SOP readiness

• Own release execution at the site – planning, coordination, and validation

• Manage and oversee system testing and validation with drivers and engineers

• Act as the main interface between Hanoi site and R&D/Product teams

• Identify field issues, drive root-cause analysis, and coordinate resolution

Experience Requirements:

• 10+ years of experience in backend, infrastructure, DevOps, or platform engineering

• Proven experience leading and managing backend, DevOps, security, and IT functions

• Strong, hands-on background in data and infrastructure security

• Deep experience operating cloud platforms (AWS, GCP, or Azure)

• Hands-on expertise with Kubernetes and infrastructure-as-code tools

Other Requirements:

• Experience with CI/CD pipelines, monitoring, and incident management

• Solid experience with distributed systems and large-scale storage

• Experience supporting AI or ML workloads is a strong advantage

Responsibilities:

• Own backend infrastructure, DevOps, security, and internal IT operations

• Design and operate scalable cloud and on-prem infrastructure

• Lead the architecture and operation of systems handling massive volumes of data

• Establish and improve DevOps practices (CI/CD, monitoring, reliability)

• Define and enforce infrastructure and data security standards

Education Requirements:

• M.Sc. in Computer Science / Electrical Engineering from top-notch universities

Experience Requirements:

• At least 6 years of hands-on experience in deep learning, computer vision, and machine learning in Python

• Experience in writing highly optimized, scalable and reliable code

• Experience in writing real-time code for a target hardware - Advantage

• Strong knowledge of computer vision techniques - Advantage

Other Requirements:

• Research skills

• Team player

• Problem-solving skills

• Adaptability

• Initiative

Responsibilities:

• Implement, train, and evaluate recent state-of-the-art algorithms in computer vision

• Adapt algorithms into robust and scalable production-ready algorithms

• Write clean and efficient code

• Take full responsibility for algorithms end-to-end until deployment

• Develop new computer vision algorithms (architectures, loss functions, etc.)

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

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

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

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

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

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

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

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:

• 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:

• 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.

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:

• 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

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

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:

• 5+ years of experience as DevOps Engineer

• At least 2 years in a leadership role

• Deep knowledge of AWS and cloud-native architecture

• Strong experience with infrastructure-as-code tools

• Expertise in CI/CD systems and container orchestration

Other Requirements:

• Strong scripting skills in Python and Bash

• Experience in a high-scale SaaS environment

Responsibilities:

• Lead and mentor the DevOps team

• Own architecture and maintenance of cloud infrastructure

• Drive evolution of CI/CD pipelines and monitoring systems

• Ensure high availability and security of production environments

• Collaborate with developers to optimize delivery processes