Field Operations Executive in United States

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As Vanta expands upmarket, we have a unique opportunity to redefine how security and compliance programs are operated, while giving customers the flexibility to run their programs their way, especially in an AI-powered world. GRC Platform is a new team at the center of this effort, building the foundational capabilities that enable mid-market and enterprise customers to operate their GRC programs efficiently and at scale with Vanta. As the Senior Product Manager for GRC Platform, you will own core platform capabilities and primitives that customers rely on every day and that power critical GRC workflows—such as search, imports, exports, custom fields, and approval workflows. You will evolve these capabilities into more intelligent, agentic experiences that are increasingly flexible, automated, and adaptive, helping customers save time, reduce cognitive load, and focus on higher-value work. What you’ll do as a Senior Product Manager, GRC Platform at Vanta: Own the GRC Platform strategy and roadmap, delivering platform primitives and customer facing features leveraged across Vanta’s GRC product Distill complex problems and opportunities into clearly prioritized product goals, focus for your team, and high-quality execution in collaboration with stakeholders across the company. Partner closely with teams across GRC to develop a deep understanding of customer needs, identify opportunities for platform leverage, and translate those insights into intuitive, agentic experiences that solve critical user needs. Drive AI-first product redesigns, including defining model evaluation criteria and managing the transition from legacy experien

About the Team The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology. About the Role As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems. We’re looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Research and develop reinforcement learning algorithms Design and run experiments to study training dynamics and model behavior at scale Collaborate with engineers and researchers to integrate successful approaches into model training pipelines You might thrive in this role if you: Have a strong background in reinforcement learning, machine learning research, or related fields Have strong engineering and statistical analysis skills Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving Are motivated by seeing research ideas influence real-world AI systems About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an ex