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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
- 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
- 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
- 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
- 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
- This is a remote-first role open to candidates located anywhere in Ontario
- We hold dev days at our downtown Toronto office at least once per month, which all team members attend in person
- Outside of dev days, the office is yours to use as often as you'd like
Knowledge & Experience
- 6+ years of engineering experience with at least 2 years of leadership experience recently leading and growing agile engineering teams, respected as both an engineer and a manager
- Prior working experience in a product-led tech company is highly valued
- Hands-on across a modern stack (Python, Ruby, JavaScript/TypeScript) and frameworks (Rails, Flask, Angular, Vue.js)
- Solid command of Linux, Kubernetes, Docker, and CI/CD, with experience tuning real infrastructure on a major cloud (Azure, AWS, or Cloudflare)
- Experience putting Generative AI into products and running NLP, machine learning, or analytics pipelines, plus daily use of AI development tools
- Comfortable across multi-database setups (PostgreSQL, Clickhouse, Elasticsearch, Redis)
- A bachelor’s degree or higher in Computer Science, Engineering, or a related field
- A strong communicator who can align a room on a complex system and explain it just as well to people who are not engineers
- A genuine collaborator who works shoulder to shoulder with the team and across functions, and is at ease finding the simplest workable route through a messy problem
- Predictable delivery: Delivery is predictable: sprints land where you said they would and enterprise work ships on time, with risks raised early
- A stronger platform: The NLP pipeline keeps getting better while cost and inference time per note keep coming down
- Real AI leverage: AI tools are widely adopted across the team, and more gets shipped because of it
- A team that scales: The team is healthy and growing, with strong technical leads coming up and a co-op program that pulls its weight
- Opportunity to see your code deployed in hospitals and clinics across Canada
- Work with a cross-functional team of healthcare professionals and technologists
- Generous professional development support and flexible work options
- Optional hybrid team with strong culture of collaboration and growth
The salary range for this role is $150,000 to $200,000 CAD per year, depending on experience, skills, and alignment with the role.
In addition to base compensation, Verto Health offers a comprehensive benefits package, which may include health and dental coverage, paid time off, professional development support, and flexible work arrangements.
Compensation is reviewed regularly to ensure fairness, market alignment, and internal equity.
Ready to Apply
At Verto Health, we’re not just writing code—we’re reimagining how healthcare connects. Whether you’re just starting out or ready to lead large-scale initiatives, you’ll find a place here to grow, collaborate, and make real-world impact.
Do you have 70% of the qualifications we’re looking for? That’s enough. Apply anyway.
If you have come across this post through an external job board, we strongly encourage candidates to apply directly through our careers page here.
Verto Health is committed to providing an inclusive and accessible experience for all applicants. If you require accommodations during the recruitment process, please let us know and we’ll work with you to meet your needs.
Use of AI in the Hiring Process
Verto Health uses artificial intelligence-enabled tools during the recruitment process to assist in screening, assessing, and selecting applicants for this position. This includes tools to evaluate candidate skills, experience, and qualifications against the role requirements.
AI tools are used to assist our hiring team, not to make final hiring decisions. All candidate applications and interview outcomes are reviewed and evaluated by people. If you have questions about how AI is used in our hiring process, please reach out.
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