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 lead the Cloud Platform and SRE teams to ensure the reliability and scalability of the infrastructure. Additionally, you will drive the strategic direction of the platform, champion SRE culture, and improve developer experience through self-service tooling.
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.
You will design and prototype AI/ML methods to improve human data quality, judgement aggregation, and AI evaluation workflows. You will also partner with product and engineering teams to translate these scientific methodologies into scalable platform capabilities.
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.
Lead and coach engineering teams to deliver high-quality software while nurturing the professional growth of individual engineers. Collaborate with product managers to define technical strategy, manage technical debt, and ensure the delivery of scalable, resilient systems.
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.
Own the end-to-end product-led growth strategy for the self-serve customer journey, focusing on acquisition, activation, and retention. Manage paid acquisition strategy across search and social channels while partnering with cross-functional teams to optimize the customer experience.
Own the end-to-end product-led growth strategy for the self-serve customer journey, focusing on acquisition, activation, and retention. Manage paid acquisition strategy across search and social channels while partnering with cross-functional teams to optimize the customer experience.
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 a team of Product Marketing Managers to own the positioning, messaging, and launch framework for AI and research customers. Act as the connective tissue between Product, Sales, and vertical marketing teams to create coherent solution packaging.
Build and maintain scalable data pipelines and services that power analytics, ML workloads, and product-facing applications. Design data infrastructure using infrastructure-as-code and ensure high data quality, observability, and security compliance.
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.
