You will be responsible for designing meaningful customer journeys by collaborating with engineers, product managers, and data scientists. You will also conduct user research, create prototypes, and advocate for design decisions to improve the overall product experience.
Manage the operational delivery of human data for strategic AI customers by coordinating participant supply, workflows, and project timelines. Collaborate with Product and Engineering teams to identify bottlenecks and implement scalable process improvements.
You will manage complex research customer projects while identifying structural gaps and growth opportunities in participant supply. The role involves collaborating cross-functionally to build scalable solutions and optimizing participant onboarding and activation processes.
You will build and maintain scalable data pipelines and infrastructure to support analytics, ML workloads, and product-facing applications. Additionally, you will design data services and APIs while ensuring high standards for data quality, security, and observability.
The Strategic Projects Lead will own the end-to-end delivery of complex AI client programs, translating requirements into actionable data solutions. They will act as the primary point of contact, coordinating across internal teams to ensure project success, quality, and profitability.
You will manage end-to-end operational processes for participant pools and collaborate with product teams to scale workflows. This involves monitoring engagement metrics, implementing verification processes, and ensuring high-quality data delivery for AI projects.
Serve as a technical research partner to AI labs and enterprise customers by designing evaluation methodologies and data collection frameworks. Collaborate with internal product and engineering teams to translate research insights into platform capabilities and actionable customer solutions.
You will manage end-to-end operational processes for participant pools and collaborate with product teams to scale these workflows. This involves overseeing participant onboarding, quality management, and aligning operational priorities with strategic AI customer needs.
You will build the infrastructure to evaluate AI agents by capturing traces at scale alongside human expert work. You will also collaborate with engineering and AI research teams to develop approaches for training, benchmarking, and improving agentic AI technologies.
The Senior Product Engineer II will define technical direction, shape the architectural roadmap, and drive engineering excellence across the team. They will also act as a mentor to other engineers while facilitating cross-team collaboration and technical discovery.
You will own the end-to-end delivery of complex AI projects, acting as the primary point of contact for clients to translate their requirements into successful data programs. You will also collaborate across internal teams to coordinate resources, manage project metrics, and improve delivery processes.
Lead independent research projects focused on AI evaluation methodologies, alignment techniques, and synthetic data generation. Collaborate with cross-functional teams to translate research insights into practical applications and contribute to the academic community through publications.
You will own the end-to-end execution of large-scale multimodal data collection programs, from pilot to production. This involves designing operational workflows, managing hardware and field logistics, and ensuring data quality while meeting client requirements.
You will own the end-to-end execution of large-scale multimodal data collection programs, from pilot to production. This involves designing operational workflows, managing hardware and field logistics, and ensuring high-quality data delivery for AI research.
Manage and optimize Kubernetes clusters in GKE using Terraform while implementing automation strategies to support developer self-service. Ensure cloud infrastructure compliance with SOC2 and ISO-27001 standards while serving as a technical point-of-contact for GCP and Kubernetes queries.
You will work within a cross-functional team to plan, build, and support high-value software products using agile methodologies. You will also be responsible for maintaining production systems with a 'you build it, you run it' mindset, ensuring high observability and performance.
You will own analytics across the entire participant lifecycle, including acquisition, onboarding, engagement, and retention. You will build metrics, dashboards, and experimentation frameworks to improve participant health and marketplace liquidity.
Design and build scalable quality frameworks and infrastructure for human data used in training advanced AI models. Act as a strategic partner to clients and AI labs to translate model needs into robust evaluation strategies and annotation schemas.
Lead the global marketing strategy with a primary focus on driving enterprise B2B growth and pipeline for AI labs and large organizations. Build and scale a multi-disciplinary marketing team covering product marketing, brand, growth, and operations.
You will lead the design vision and strategy across three cross-functional teams while acting as a hands-on designer for a core participant domain. Additionally, you will line-manage a group of designers and collaborate with engineers, researchers, and data scientists to build internal and external participant tools.
The Participant Recruitment Partner will drive the identification, attraction, and engagement of qualified participants while collaborating with client-specific AI delivery teams. They will also maintain the quality and diversity of participant pools and optimize recruitment processes.
The Participant Recruitment Partner will identify, attract, and engage qualified participants while collaborating with delivery teams to meet client needs. They will also manage recruitment processes and ensure the quality and diversity of participant pools.
