Top Artificial Intelligence Jobs
The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.
The Director of Sales will lead a team focused on driving revenue, recruiting and training sales professionals, managing the sales cycle from prospecting to closing, and developing strategic relationships with key accounts. Responsibilities include presenting proposals, analyzing data, and tracking sales metrics.
As a Senior Software Engineer, you will develop and maintain software systems, lead design and coding efforts, ensure security and privacy compliance, solve complex technical issues, and engage in testing and documentation while collaborating with cross-functional teams.
Featured Jobs
As a Site Reliability Engineer, you will analyze and enhance system performance, monitor Clickhouse clusters, optimize backup and recovery processes, ensure security, and collaborate with the founders to build AI-driven solutions.
As a Senior Backend Software Engineer at Mem, you will design and build backend systems leveraging AI for innovative features, tackle complex engineering challenges, develop scalable services and APIs, and enhance system observability. Close collaboration with key stakeholders is essential to drive the integration of advanced AI tools into the product.
The VP of Cybersecurity will be responsible for safeguarding Covera's digital platforms and healthcare data by developing and implementing security strategies, ensuring regulatory compliance, managing cybersecurity risks, and overseeing incident response efforts.
As a Staff Software Engineer at Vidmob, you will develop high-scale software solutions, collaborate with product teams, and mentor fellow engineers. Key responsibilities include managing big data, utilizing modern programming languages, and ensuring system observability. Qualifications include 10+ years of experience, expertise in TypeScript and AI technologies, and strong AWS and Snowflake skills.
The Senior Data QA at Xebia is responsible for data testing with over 6 years of experience, requiring strong coding skills in Python and solid knowledge of SQL and NoSQL. The role involves maintaining efficient and modular code while working in a Linux/Unix environment and utilizing tools like Git, Jenkins, and CI/CD in Azure Cloud.
As a Product Manager for Censia's Data Platform, you will lead cross-functional teams to enhance product features and drive business growth. You'll craft a strategic product vision, develop detailed requirements, and ensure prioritization of product features while collaborating with engineering and data science teams to deliver superior customer experiences.
As a Senior Software Development Engineer, you will own team-level architecture, mentor junior engineers, and solve complex software challenges. You will design and implement high-quality code while ensuring collaboration among various teams and managing parallel work streams to deliver cohesive solutions.
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