Jobs at Truveta

Design, implement, and operate large-scale distributed data processing pipelines and ETL systems for healthcare data. Contribute across the software lifecycle, collaborate with cross-functional teams, debug production distributed-system issues, and apply cloud-native and DevOps practices to ensure reliable, performant data processing at scale.

Own strategic healthcare and life sciences customer relationships across onboarding, adoption, research execution, renewals, and expansion. Guide customers through clinical data and real-world evidence workflows, translate research goals into requirements and deliverables, coordinate cross-functional teams, provide training and executive communications, identify adoption risks, and advise customers on maximizing Truveta’s platform value.

Build, deploy, and maintain cloud-native infrastructure and platform services on Azure. Support Kubernetes-based container workloads, implement DevOps best practices, improve observability with monitoring/logging/alerting, automate operations, ensure security practices, troubleshoot cloud issues, and collaborate with cross-functional teams to scale and operate the platform.

Design, build, and maintain infrastructure and backend platform services on Azure (AKS, networking, storage, identity). Own platform capabilities (compute, orchestration, CI/CD, IaC, secrets, observability), optimize performance for high-volume data, support AuthN/AuthZ/CIAM, participate in architecture reviews, code reviews, and on-call rotations, and collaborate with cross-functional teams.

Build reliable, secure, and scalable cloud-based software for Truveta’s healthcare data platform. Develop backend services, distributed systems, data pipelines, and APIs; support Kubernetes-hosted, multi-tenant services; and work with modern cloud-native platforms. The role emphasizes privacy, security, compliance, auditing, reliability, mentorship, and collaboration in a mission-driven startup environment.

Design, build, deploy, and operate production-grade backend services for healthcare intelligence. Own service architecture, APIs, observability, reliability, security, CI/CD, and cloud-native platform integrations to support AI-enabled workflows and scalable production systems.

Lead revenue growth and a team selling RWD/RWE, analytics, and research solutions to pharma and biotech. Manage strategic accounts, drive complex multi-stakeholder deals, recruit and coach business development staff, partner with product and data teams, represent the company at industry events, and contribute to commercial strategy and go-to-market planning.

Partner with customers and internal teams to create clear, reusable enablement materials (notebooks, guides, decks) that help customers understand Truveta's EHR data model, export omni-modal data, and build analytics and ML workflows. Explain de-identification and privacy considerations, provide best-practice examples for cohorting and validation, reduce support friction, and improve adoption through proactive enablement strategies.

The Product Manager will lead the strategy and execution of Truveta's data onboarding platform, improving healthcare data connectivity and operational efficiency while collaborating with engineering teams and healthcare partners.

Lead product strategy and delivery for Research Operations within a Trusted Research Environment. Own platform capabilities (IAM, org administration, auditing, cost visibility), run end-to-end product development, partner cross-functionally, and ensure governance, transparency, and scalability for enterprise and regulated research customers.

The role involves collaborating to develop and refine large language models and generative models, utilizing expertise in machine learning and NLP.

Design, build, and operate backend services, APIs, databases, data pipelines, and cloud infrastructure for Live Link and Entitlements. Own services from design through production, ensuring scalability, reliability, security, observability, and maintainability. Collaborate with Product, Architecture, Solutions, and engineering teams to translate customer needs into production-quality solutions.

Develop, operate, and automate cloud-native infrastructure services on Azure using Kubernetes and open-source tools (Istio, Kong, Conductor). Improve observability, reliability, CI/CD, and platform tooling; participate in incident response, troubleshooting, and collaborate with product, security, and architecture teams.

Design, build, and operate secure, scalable cloud-native backend systems for unstructured data and AI workloads. Partner with platform, security, and ML teams to create microservices, APIs, and data pipelines, deploy large-scale ML models, and deliver self-service capabilities while prioritizing privacy, ethics, and reliability.

The Senior IT Engineer will manage and support the network infrastructure, firewalls, and secure connectivity solutions while troubleshooting issues and ensuring high availability of services.

Lead design, build, deploy, and operate cloud-native infrastructure services on Azure. Build Kubernetes-based platforms, integrate open-source tools (service mesh, API gateway, workflow orchestration), drive automation, observability, incident response, and reliability. Mentor engineers, set operational standards, and collaborate with product, security, and architecture teams to deliver scalable, secure platform capabilities.

Lead end-to-end revenue accounting and quote-to-cash improvements, serve as ASC 606 expert, research complex contract accounting, oversee revenue close/reconciliations, drive NetSuite/Salesforce integrations and automation, design controls, and manage/mentor the revenue accounting team.

As a Software Engineer for Backend Services, you'll design, build, and maintain production-grade backend systems, focusing on reliability, security, and integrations with AI workflows.

Lead mobile-first QA for Truveta Intelligence apps, owning test planning, execution, evidence capture, defect tracking, and release validation across iOS, Android and supporting web. Create and run test plans in Azure DevOps, validate authentication, lifecycle, deep links, hybrid webviews, accessibility, and stability. Collaborate with product, design, engineering, security, and release teams; support lightweight automation, API checks, and provide concise QA status and release recommendations.

Support life sciences partners by scoping and executing analyses on a large EHR/RWD database using SQL, R, and Python. Provide technical customer support, build cohorts, write Databricks SQL/regex queries, create enablement materials, and feed product feedback to internal teams to improve the Truveta platform.