engineering manager

About the Company Verto Health is a health technology company solving healthcare’s most complex data fragmentation and interoperability challenges. Our patented, AI-enabled platform ingests structured and unstructured clinical data across disparate EHRs, claims, and payer systems to create a unified, actionable view of patient populations. We empower health systems and value-based care organizations across North America to master population health by translating hidden clinical insights into personalized patient journeys, automated workflows, and accurate risk adjustments. By bridging the gap between raw data and coordinated action, Verto enables healthcare providers to reduce manual overhead, optimize operational efficiency, and deliver proactive, data-driven care at scale. About the Role Verto builds software that takes on some of the most stubborn inefficiencies in healthcare, and it is only worth what we can get live in the health systems we serve, reliably and at scale. As Senior Engineering Manager, Software, you own that side of the work. You will build and lead the engineering team, set the bar for what good looks like, and own what goes to production. A big part of the job is our NLP pipelines, which turn messy unstructured clinical data into structured data and are a large part of why customers choose us. You will keep that work moving forward while raising how much the whole team gets out of AI, both the engineers and the people working alongside them. You are comfortable taking a vague business goal and turning it into something the team can build, usually without a map to follow. You report to the CIO and work closely with Product and with our Data & AI leadership, who set product direction and own the data models while you decide how things get engineered and shipped. What You’ll Do Engineering Leadership & Team Development Build, grow, and lead the engineering team, set the technical bar, and own what ships to production. Develop the next set of technical leads, and run hiring, onboarding, and the co-op program end to end. Keep delivery predictable by managing to outcomes and sprint completion rather than story points, and protect the team from churn and micromanagement. Technical Strategy, NLP & AI Own the roadmap for our NLP pipelines, working a steady loop of better quality, then lower cost, then faster inference. Bring infrastructure cost and inference time down by evaluating serverless and edge options, and own cloud and tooling vendor decisions. Get the team using frontier AI coding tools every day, and set up ways for non-technical colleagues to contribute through AI. Architecture, Delivery & Technical Debt Run the Architecture Review Board and make the big system-design calls, setting clear boundaries and strong observability. Protect a standing buffer for tech debt and research, and keep the codebase and internal tooling healthy. Own estimates and scoping for new work, keeping scope simple and being clear up front about whether something is product or custom. Cross-Functional, Client & Compliance Partner with Product and Data & AI to turn clinical and business needs into solid backend work. Own data ingestion and integration work for enterprise clients, and step into client technical conversations and data work when needed. Manage shared delivery timelines, raise risks early with a plan to resolve them, and keep compliance reporting (such as SR&ED and IRAP) on track. Resource & Budget Management Own the budget for AI tooling, cloud, and R&D, and match people to the priorities that matter most. Track who is working on what across projects, flag budget issues early, and help build the annual plan for your area. Where You'll Work This is a remote-first role open to candidates located anywhere in Onta