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Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io As a Customer Experience Specialist at Artlist, you will be at the frontline of empowering creators to fully harness the potential of our AI-driven creative ecosystem. You’ll support users from their very first interactions with our AI tools through full-scale production workflows—ensuring they gain the knowledge, confidence, and inspiration needed to grow with Artlist.
We’re looking for someone with a rare blend of technical savvy, creativity, and exceptional communication skills. This isn’t your average support role: you’ll engage with content creators around the world, master our products inside and out, and use your own creative instincts to solve problems, advise customers, and directly influence the product. You’ll collaborate across departments, translate customer goals into powerful workflows, and help transform creators—from casual experimenters into professional, high-value users.
If you love learning new tools, educating others, writing clearly, and helping creators thrive in an evolving AI production landscape—you’ll love it here.
What You'll Do Provide support to users through email and occasional calls. Assist users with product-related issues, delivering timely and effective solutions. Develop deep expertise in Artlist’s platform and AI tools to guide users toward the features and workflows that best fit their creative goals Proactively communicate user behavior, technical issues, emerging trends, and potential improvements to the team, and raise concerns and flags as needed Work cross-functionally within a cohesive team environment to ensure product success

We're looking for an experienced Backend Engineer to join our Engineering team. Reporting to the Manager, Software Engineering you'll be responsible for:
Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Leading and designing solutions from scratch to production
Monitoring the performance and cost of the services in production
Stay up-to-date with industry trends and best practices to continuously improve our technology stack and development processes
Integrating with other team members (backend/frontend/product/UX)

we are looking for a highly skilled Senior RF Engineer to lead the design and development of next-generation imaging radars operating up to 81 GHz. The ideal candidate has strong expertise in RF board design and high-frequency simulations, with a proven track record in delivering robust RF solutions for advanced RF systems
What will your job look like:
Lead the design and development of RF circuits and PCBs for mmWave applications up to 81 GHz.
Assist in the antenna design and integration
Conduct full-wave and circuit-level RF simulations (HFSS, ADS etc.) to validate design performance.
Optimize high-speed PCB layouts for minimal loss, crosstalk, and parasitics at mmWave frequencies.
Define and execute test plans, including lab measurements, characterization, and validation of RF systems.
Collaborate cross-functionally with hardware, digital, mechanical, and system engineering teams.
Document design methodologies, test results, and provide technical reports for internal and external customers.

We're looking for an experienced Principal Threat Researcher to join our Threat Hunting team. Reporting to the Senior Manager, Threat Research, you'll be responsible for:

Leading end-to-end research POCs: formulating hypotheses, designing methodologies, implementing experiments, analyzing results, and translating findings into production-ready capabilities and customer outcomes
Researching and developing methodologies for identifying, assessing, and mitigating threats and risks across diverse data sources
Partnering with data scientists and ML engineers to shape model features, training data strategies, and evaluation frameworks derived from real-world signals
Providing actionable recommendations to improve data quality, policies, detections, controls, and response strategies across Zscalers security offerings
Presenting research findings clearly and meaningfully to technical and non-technical stakeholders; influencing roadmap decisions with evidence-based insights

we are looking for a Senior Software Engineer to join the DevOps Team within the SW Engineering Group in the Algo Department. This role combines software engineering, DevOps, and CI/CD ownership, with a strong focus on creating scalable infrastructure, automation, and AI-powered developer tools (MCPs, LLM-based assistants, smart pipelines). You will be part of the team responsible for enabling fast, reliable, and intelligent development workflows across all Algo teams. Why this role matters we are transforming the way the world drives from safety systems to full autonomy. As part of the DevOps team in the SW Engineering Group, you will shape how engineers build, test, deliver, and interact with code bringing automation, AI, and modern engineering practices into every step of development. If youre a hands-on engineer who loves solving real problems, automating complex flows, and using AI to enhance how developers work this is the place for you.
What your job will look like:
Design, develop, and maintain backend infrastructure and CI/CD systems
Lead DevOps improvements across CI, GitLab pipelines, automation, and delivery processes
Build AI-driven tools and MCPs to optimize code reviews, pipeline insights, and developer productivity
Modernize and refactor legacy components into scalable services
Develop internal APIs and services used by pipelines, bots, IDE extensions, and engineering tools
Collaborate with Algo developers, DevOps engineers, IT, and software teams to deliver efficient and reliable solutions
Ensure best practices in code quality, testing, monitoring, and documentation
Tech stack:
Languages: Python (main), Groovy, TypeScript, React
DevOps & CI/CD: GitLab CI, Jenkins, Docker, Kubernetes, Linux
Cloud & Infrastructure: AWS (EC2/ECS/EKS)
AI & Automation: MCPs, LLM-based workflows, AI copilots, Elastic dashboards
Databases: DynamoDB, PostgreSQL, MySQL, Elasticsearch, Redis
Testing: PyTest, JUnit, Spock
Tools: Git, Jira, Artifactory, Vault.

The EyeQ SoC Performance Modeling and Profiling team is part of the EyeQ Platform Group (EPG), working on both current and next-generation designs for ADAS (Advanced Driver-Assistance Systems) and Autonomous Vehicles (AV). Performance models and profiling tools are essential components of the EPG infrastructure they are used during the hardware architecture definition phase of the EyeQ chip and by software developers to optimize performance.
What will your job look like:
You will be part of team that develops EyeQ SoC Performance Modeling environment and emulators
You will work on SOC performance analysis and optimizations.
You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
You will be working on HW performance analysis and tuning, and influence future company EyeQ SoC design.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.