Enterprise Account Executive - Italy
The AI Outcomes Manager will partner with executive sponsors and end users to identify high-impact use cases and turn them into measurable business outcomes on Glean. They will lead strategic reviews and advise customers on their AI roadmap to ensure maximum value from Glean's platform. The role involves translating business needs into clear problem statements, success metrics, and practical AI solutions while collaborating with Product and R&D to shape priorities. They will conduct discovery workshops, scope pilots, and guide rollouts to drive broad and deep adoption of the Glean platform. Additionally, they will design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. The manager will proactively identify expansion opportunities and drive engagement across teams and functions.
Senior AI Engineer - San Mateo, CA
The role involves training, evaluating, and monitoring new and improved LLMs and other algorithmic models. The engineer will test and deploy content moderation models in production and iterate based on real-world performance metrics and feedback loops. They are expected to develop medium to long-term vision for content understanding-related R&D, collaborating with management, product, policy & operations, and engineering teams. The position requires taking ownership of results delivered to customers, advocating for changes in approach where needed, and leading cross-functional execution.
First-Line Supervisors of Food Preparation and Serving Workers - AI Trainer (Contract)
The responsibilities include evaluating what AI models produce related to the field of food preparation and serving work, assessing content related to the field of work, delivering clear and structured feedback to improve the AI model's understanding of workplace tasks and language, developing prompts for AI models that reflect the field, and evaluating AI responses. The work is performed remotely and asynchronously with flexible hours, and involves leveraging professional experience in food preparation and serving supervision to train AI models.
Member of Technical Staff - ML Research Engineer; Multi-Modal - Audio
Invent and prototype new model architectures that optimize inference speed, including on edge devices; build and maintain evaluation suites for multimodal performance across a range of public and internal tasks; collaborate with the data and infrastructure teams to build scalable pipelines for ingesting and preprocessing large audio datasets; work with the infrastructure team to optimize model training across large-scale GPU clusters; contribute to publications, internal research documents, and thought leadership within the team and the broader ML community; collaborate with the applied research and business teams on client-specific use cases.
Software Engineer, Evaluation Frontend
As an Evaluation Frontend Software Engineer, you will design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations, including both data visualization tools and statistical tools to extract signal from noisy data. You will develop an understanding of the relative merits and limitations of each model evaluation and suggest new facets of model evaluation. Your work will involve collaborating closely with cross-functional teams, including researchers and engineers, to surface necessary insights for model development.
Freelance Cybersecurity Analyst - AI Trainer
Analyze and investigate simulated security alerts and incidents across endpoints, identities, and cloud environments. Conduct proactive threat hunting using KQL or similar query languages to identify hidden vulnerabilities and emerging threats that automated systems may miss. Assess the accuracy and depth of AI-generated security incident reports and threat analyses. Review, validate, and improve the model’s understanding of Microsoft Defender products and SOC workflows. Provide expert feedback on AI performance in identifying and classifying cybersecurity threats.
Finance Platform Engineer
Use proprietary software applications to provide input and labels on defined projects. Support and ensure the delivery of high-quality curated data. Contribute to the training of new tasks by working closely with the technical staff to develop and implement cutting-edge initiatives and technologies. Interact with technical staff to improve the design of efficient annotation tools. Choose problems from economics fields that align with expertise, focusing on macroeconomics, microeconomics, and behavioral economics. Regularly interpret, analyze, and execute tasks based on given instructions. Provide services including labeling and annotating data in text, voice, and video formats to support AI model training, sometimes involving recording audio or video sessions.
Data Engineer – Spark Specialist
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make customers successful. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Product Marketing Manager, Developer Platform
As Product Marketing Manager, you drive go-to-market strategies for OpenAI’s developer platform, focusing on adoption, strategic launch planning, and growth of APIs among developers and businesses. You collaborate closely with Product, Engineering, and GTM teams to develop product positioning, messaging, marketing plans, post-launch campaigns, and customer/market insights.
Software Engineer, Monetization Infrastructure
You will design and build backend and infrastructure systems for OpenAI’s monetization and ads stack, emphasizing reliability, privacy, security, and large-scale performance. You’ll develop APIs and platforms, drive 0→1 infrastructure projects, and collaborate cross-functionally with Product, Research, and Design teams.
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