Evaluate AI systems at a scale only possible by combining thousands of vetted experts with model graders.
Innovate at the frontier of QA by shaping industry standards for validating agentic AI and large language models.
Collaborate with global market leaders to architect AI quality blueprints and drive high-impact consultative visibility.
Testlio provides a fully managed crowdsourced testing platform powered by proprietary intelligence technology, LeoCore. They are a female-founded, fully remote company with an inclusive culture, half of their team identifying as women, and are growing profitably.
Lead the design, development, and continuous improvement of foundational AI capabilities for agentic AI use cases.
Define engineering standards, operating models, and governance practices to ensure scalable, reliable, and secure AI platforms.
Oversee engineering teams while partnering with product, data, infrastructure, and business stakeholders to drive AI adoption.
This company builds foundational AI capabilities for enterprise-scale agentic AI products and intelligent workflows. It operates remotely across the US, fostering a culture of innovation, engineering excellence, and cross-functional collaboration.
Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Lead and develop a multidisciplinary team of ML Engineers, Data Scientists, Analysts, and Analytics Engineers.
Own and drive the team roadmap in partnership with engineering leadership and cross-functional stakeholders.
Support the development, evaluation, deployment, and continuous improvement of machine learning models.
The company specializes in online trust and security using AI and machine learning, focusing on fraud prevention and digital identity. The team is globally distributed and fosters collaboration, psychological safety, and technical excellence.
Lead the Promise team to drive roadmap and delivery, partnering across Product, Sales, Customer Success, and Support.
Stay hands-on with PR reviews, architecture decisions, and AI-native development, tracking industry trends.
Build and manage a high-performing engineering team, setting clear OKRs and managing performance.
Narvar is a platform that simplifies post-purchase experiences for retailers, helping them retain, engage, and delight customers. With hubs in San Francisco, Atlanta, London, and Bangalore, Narvar works with over 1300 brands and has served over 125 million consumers worldwide.