Jobs at Konovo

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.

As a Senior Software Engineer, you will design and implement scalable services for healthcare insights, write high-quality code, lead discussions on architecture, and mentor junior engineers while collaborating with product teams.

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.

Lead end-to-end healthcare market research projects from proposal to invoice, manage client relationships, oversee fieldwork and quality control, track budgets, and coordinate cross-functional teams to deliver timely, accurate insights.

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.

Lead the US finance function by building scalable accounting processes, ensuring US GAAP compliance, managing month-end close, audits, cash management and forecasting, overseeing AP/AR and T&E, partnering with leadership and global teams, and coaching a small finance team.

Lead a US territory to acquire new enterprise clients and expand existing accounts in healthcare. Drive full sales cycle from prospecting to close, manage forecasts and account plans, collaborate cross-functionally, deliver QBRs, and travel domestically to build senior stakeholder relationships and pipeline.

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.

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

Own production stability and incident resolution across frontend, backend, APIs, databases, and distributed services. Monitor observability, lead root-cause analyses, coordinate cross-functional fixes, support releases and hotfixes, automate support workflows, and mentor junior engineers to improve platform reliability and operational excellence.