Jobs at Konovo

Oversee fieldwork management for quantitative and qualitative market research projects, managing vendors, sample delivery, budgets, and quality control. Coordinate cross-functionally with Client Services and stakeholders, proactively resolve risks, and ensure on-time, on-budget delivery while leveraging AI-enabled tools and maintaining high standards for client and panelist experience.

Manage end-to-end patient-focused research studies, ensuring timelines, quality, and client communication. Track milestones, risks, and quotas across concurrent projects, maintain documentation, support process improvement, and collaborate with global teams during 9am–5pm ET.

As a Senior Applied AI Engineer, you will design, build, and deploy AI solutions while ensuring reliability, compliance, and performance across healthcare platforms.

Design, build, and operate production-grade batch ELT pipelines and a lakehouse (medallion pattern) in Databricks/Spark; ensure data quality, monitoring, SLAs, and create reusable data products while partnering with engineering and business stakeholders.

Design, build, and maintain scalable services and distributed systems for an AI-enabled healthcare insights platform. Develop high-quality backend and full-stack software, integrate emerging AI capabilities, lead technical architecture decisions, optimize performance and reliability, and support deployment and monitoring. Collaborate with product and engineering teams, ensure secure and compliant development practices, mentor junior engineers, and proactively improve system architecture.

Manage end-to-end proposal development for a high-volume healthcare research book, translate client needs into tailored proposals, coordinate sales-to-operations handovers, handle in-flight clarifications, track pipeline in Salesforce, and support account booking and margin targets.

Lead end-to-end proposal development and pricing for healthcare market research accounts, translate client needs into tailored proposals, support account managers to meet booking and margin targets, produce clear sales handovers, track bids in Salesforce, and monitor industry trends across Europe.

The Lead Quality Assurance Engineer will drive quality engineering standards, automation frameworks, and observability across global teams, enhancing product quality and reducing manual testing.

Own month-end close activities (journals, accruals, reconciliations, variance analysis), manage AP/AR and contractor invoicing, perform bank and GL reconciliations, support project accounting in Sage Intacct, prepare schedules for reporting and audits, partner on forecasting and budgeting, and drive process improvements and controls across global stakeholders.

Lead and scale quality engineering across squads by defining test strategies, building automation frameworks, implementing shift-left practices, integrating AI into QE, driving performance and observability, and owning end-to-end QA delivery and metrics.

Provide architectural leadership across multiple product teams: own architecture review process, define standards, patterns, and governance; drive cloud-native, API-first and event-driven platform modernization; enable AI-native products and scalable data/AI platforms; ensure security, observability, reliability; influence product and technology roadmaps and mentor senior engineers.