The Senior HR Business Partner will partner with leadership to drive organizational design, workforce planning, and talent strategies. They will own core people programs including performance management, onboarding, and manager enablement to foster a high-performance culture.
The GTM Commercial Lead will own the commercial strategy and execution for the benchmarking and assessments business, managing the full sales cycle from prospecting to contract signature. You will build and maintain a target account map of healthcare AI builders while defining and executing the go-to-market strategy for the vertical.
You will source and qualify audio data partners while managing the end-to-end deal lifecycle to meet customer demand. Additionally, you will collaborate with cross-functional teams to develop processes and tools that streamline data delivery and improve operational efficiency.
You will build the technical foundation for a new vertical by developing reusable infrastructure and establishing technical patterns. You will also lead end-to-end customer engagements, translating complex requirements into durable, production-grade systems.
The AI Engineer will own end-to-end customer engagements, managing technical delivery from scoping through implementation and post-launch support. They will bridge customer needs with platform capabilities by developing custom integrations and surfacing actionable product feedback.
You will translate complex AI data research into compelling product narratives and lead end-to-end go-to-market campaigns. You will also partner with cross-functional teams to create high-impact content and sales collateral that drives market adoption.
You will own the technical success for audio customers by building scalable pipelines to transform raw audio into ready-to-sell datasets. Additionally, you will collaborate with product and engineering teams to translate customer requirements into reusable platform capabilities.
You will own the technical success of video customers by translating their model-development goals into executable technical plans. Additionally, you will build reusable data pipelines and tooling to scale the processing and curation of large-scale video datasets.
The Strategic Partnerships Manager will lead the qualification and activation of healthcare data partners while managing the end-to-end partnership lifecycle. This role involves defining portfolio growth strategies, coordinating cross-functional workflows, and ensuring data assets are effectively utilized across the organization.
The Partnerships Business Development Representative will build and maintain a qualified pipeline of healthcare data partners through proactive outbound sourcing and market mapping. This role involves qualifying prospective partners, managing the partnership lifecycle, and collaborating cross-functionally to drive data acquisition strategies.
You will own the end-to-end recruiting process for critical technical roles, partnering with leadership to identify and close exceptional talent. You will also develop creative, data-driven sourcing strategies and act as a trusted advisor to hiring managers throughout the search process.
You will serve as the primary research partner for AI labs, translating their model-development goals into concrete data strategies. You will also own the end-to-end research process, including method development, data feasibility analysis, and the creation of reusable technical evidence.
You will build and maintain features across the internal dashboard and customer-facing portal, managing the full lifecycle from design to rollout. This involves collaborating directly with internal teams to identify friction points and implementing efficient, user-friendly interfaces for multimodal data.
You will build the technical foundation for benchmarks and evaluations by designing data pipelines, execution environments, and orchestration systems. Additionally, you will partner with researchers and customers to define evaluation standards and identify product opportunities through live engagements.
The Strategic Account Manager will own and grow relationships with foundation AI labs, driving multi-year deal strategies and significant GMV. They will orchestrate internal cross-functional teams to translate complex data needs into high-value solutions for customers.
You will lead the development of the presentation layer, building internal dashboards and customer-facing portals for AI training data. This involves designing complex workflows, managing multimodal datasets, and collaborating across teams to ship end-to-end features.
Own the supply side of the data platform, transforming raw partner data into trustworthy, catalog-ready assets. Define validation gates, metadata standards, and QA tooling to ensure consistency across various data verticals.
Lead the solution architecture and end-to-end delivery of complex healthcare datasets for AI training. Coordinate between data partners and customers to ensure technical specifications and HIPAA compliance are met.
Build the technical foundation and reusable infrastructure for a new business vertical while leading early customer engagements from scoping to delivery. Partner with product and engineering teams to translate customer needs into core platform capabilities.
Own end-to-end healthcare customer engagements from initial scoping and technical implementation to post-launch support. Bridge the gap between customer needs and product capabilities by developing custom solutions and surfacing repeatable patterns for the platform.
Design and operate large-scale ingestion systems to transform raw multimodal data into clean, AI-ready datasets. Own the end-to-end data processing layer, ensuring high throughput, reliability, and security for sensitive data.
Lead the research and development of evaluation frameworks and metrics to optimize the quality of large-scale speech datasets. Translate research insights into scalable filtering rules and tools to improve downstream ML model performance.
Design and build high-value datasets, tasks, and environments to benchmark agentic systems and multi-step model behavior. Develop frameworks to evaluate data quality and connect model failures to specific dataset or environment gaps.
The Head of Security will own the end-to-end security strategy, architecture, and operations while building the program from the ground up. This role involves maturing compliance programs, securing data pipelines, and serving as the primary security face to customers and partners.
